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  • Research article
  • Open Access
  • Open Peer Review

Effects of physical exercises on inflammatory biomarkers and cardiopulmonary function in patients living with HIV: a systematic review with meta-analysis

BMC Infectious Diseases201919:359

https://doi.org/10.1186/s12879-019-3960-0

  • Received: 29 September 2018
  • Accepted: 8 April 2019
  • Published:
Open Peer Review reports

Abstract

Background

Pro-inflammatory cytokines expressed in human immune deficiency virus (HIV) infection, may induce oxidative stress likely to compromise the patency of the airways or damage the lung tissues/cardiac function. However, physical (aerobic and/or resistance) exercise-induced release of heat shock protein, immune function alteration or reduced tissue hypoxia, have been highlighted as possible mechanisms by which increasing physical activity may reduce plasma pro-inflammatory cytokines in uninfected individuals and should be appraised in the literature for evidence of similar benefits in people living with HIV (PLWH). Therefore, we evaluated the effects of physical exercises on 1) inflammatory biomarkers and 2) cardiopulmonary function (VO2 Max) in PLWH.

Method

A systematic review was conducted using the Cochrane Collaboration protocol. Searching databases, up to January 2018. Only randomized control trials investigating the effects of either aerobic or resistance or a combination of both exercise types with a control/other intervention(s) for a period of at least 4 weeks among adults living with HIV, were included. Two independent reviewers determined the eligibility of the studies. Data were extracted and risk of bias (ROB) was assessed with the Cochrane Collaboration ROB tool. Meta-analyses were conducted with random effect models using the Review Manager (RevMan) computer software.

Result

Twenty-three studies met inclusion criteria (n = 1073 participants at study completion) comprising male and female with age range 18–65 years. Three meta-analyses across three sub-groups comparisons were performed. The result showed no significant change in biomarkers of inflammation (IL-6 and IL-1β) unlike a significant (Z = 3.80, p < 0.0001) improvement in VO2 Max. Overall, the GRADE evidence for this review was of moderate quality.

Conclusion

There was evidence that engaging in either aerobic or resistance exercise, or a combination of both exercises, two to five times per week can lead to a significant improvement in cardiopulmonary function but not biomarkers of inflammation (IL-6 and IL-1β). However, this should not be interpreted as “No evidence of effect” because the individual trial studies did not attain sufficient power to detect treatment effects. The moderate grade evidence for this review suggests that further research may likely have an important impact on our confidence in the estimate of effects and may change the estimate.

Keywords

  • Physical exercises
  • Aerobic exercises
  • Resistance exercises
  • Human immunodeficiency virus
  • Patients living with HIV
  • Highly active antiretroviral therapy
  • Inflammatory biomarkers
  • Cardiopulmonary function
  • Quality of life
  • Systematic review
  • Meta-analysis

Background

For decades, the Human Immunodeficiency Virus (HIV), which induces cell death (CD4- helper cells) [1], has remained a key public health issue globally [2]. Global epidemiological data suggest that HIV-related deaths are common among women in the reproductive age group (15–49), especially the Sub-Saharan Africa which accounts for 64% of the total new cases of HIV infection [3]. Meanwhile, Nigeria is the second largest HIV-prevalent country in the world, after South Africa [4]. However, the discovery of the Highly Active Antiretroviral therapy (ART) and its advancement has changed the severity of the HIV infection, for which reason it is currently managed as a chronic condition [5], rather than an outright “death sentence.” Thus, ART usage reduces the mortality rate associated with HIV by decreasing the viral load, boosting the immune function, and reducing the threat of AIDS-defining opportunistic illnesses (OIs) [6]. A reduction in opportunistic diseases was possible through a reduction of HIV-related inflammation/immune activation [7], decreased risk of HIV transmission [8], improved CD4 T-cells/immune response and therefore decreased progression to AIDS [9]. All these effects of ART mentioned above account for a remarkable improvement in the life expectancy of the people living with HIV (PLWH) [10]. However, despite the benefits of this drug, PLWH are still associated with lactic acidosis, dyslipidemia & lipodystrophy, neuropsychiatric symptoms, liver toxicity, gastrointestinal intolerance, lipid abnormalities [11], increase creatinine kinase level [12] and cardiopulmonary dysfunction [13]. Some of these conditions exist as a result of an increased inflammatory response associated with HIV [14, 15] which is not fully suppressed by the use of ART [1618]. Hence, high levels of Interleukin 18 (IL-18) in the sputum/plasma and plasma-related Interferon gamma (IFN-ϒ), which is associated with high pressures from the pulmonary artery [19], have been reported in PLWH. Therefore, early management of inflammation is essential in tempering HIV/ ART -associated morbidity [20], and can be achieved through improved physical activity level.

Systemic inflammation commonly associated with HIV is linked to many chronic diseases [21]. In fact, increased expression of pro-inflammatory mediators may trigger the release of reactive oxygen species (ROS) and constitutes an important component of molecular and cellular tissue damage mechanisms in a wide range of chronic human diseases [22, 23] that may include cancer and cardiopulmonary conditions. In fact, the C-reactive protein (CRP – an acute phase protein and a biomarker of inflammation) is increasingly considered to be involved In systemic response to inflammation [24], and lies on the path of biological plausibility for cancer induction [25]. Similarly, several studies had observed high levels of systemic fibrinogen and CRP with pulmonary dysfunction [14], especially; chronic obstructive pulmonary disease [26]. For instance, there is evidence of an association between circulating inflammation markers and forced expiratory volume at the first second (FEV1) [27], though the physiological mechanisms relating low-grade systemic inflammation and pulmonary disease is not fully delineated [28, 29]. However, it is possible that the induced oxidative stress would have involved pro-inflammatory mediators, which should adversely compromise the patency of the airways or damage the lung tissues/cardiac function [30, 31]. Therefore, factors that influence systemic inflammation may play a role in the induction of cardiopulmonary diseases in HIV conditions and should be addressed in prevention efforts. Physical exercise has been reported as having anti-inflammatory effects in intervention and large population studies of non-HIV infected individuals [32, 33], and therefore may attenuate inflammatory response in HIV conditions.

Physical exercise intervention has resulted to a significant increase in cardio-pulmonary fitness [34] and improved quality of life (QoL) [35] mostly linked to improved aerobic capacity, endurance [36] and immune function (i.e. improved CD4+ cell counts) in PLWH [37]. In addition, a number of studies propose that a lifestyle of physical activity in moderate/high intensities reduces the serum concentration of C-reactive protein (CRP) by 6–35% [38] and improves cardiorespiratory fitness [39]. Invariably, these findings suggest that the profile of serum concentration of CRP and cardiorespiratory fitness may vary proportionately to the level of physical activity. Hence, a physically active lifestyle may not only be expected to improve chronic inflammation, (which have been implicated in the induction of cancer) but likewise cardiorespiratory fitness/function, which should positively influence the quality of life (QoL). This view was corroborated by findings from the Women’s Health Study (WHS) prospective study of 27,055 healthy elderly women, which revealed that physical activity ameliorated the risk of cardiovascular disease (CVD) through its effect on chronic inflammation and other known risk factors [40]. In addition, other studies provided valuable insights into the direct effects of aerobic and resistance exercise training on certain health indices often compromised by HIV infection and ART. For instance, Levinger et al. [41], and Philips et al. [42], indicated that resistance training has positive effects on chronic diseases by reducing the plasma concentrations of pro-inflammatory cytokines. Neto et al. [43], also reported that combined aerobic and resistance exercises are effective in improving muscle strength, energy, VO2 peak and health status of patients with HIV. Another study by Zanetti et al. [44], demonstrated the efficacy of non-linear resistance training in adjusting the inflammatory profile and anthropometry of PLWH.

So far, the mechanism by which increasing levels of physical activity improve plasma CRP seems to be explained by other factors apart from its effect on body weight, since both low levels of physical activity and high levels of body mass index (BMI) were independently associated with increased serum levels of inflammatory biomarkers [45]. Thus, the exercise-induced release of heat shock protein, immune function alteration or reduced tissue hypoxia, have been highlighted as other possible mechanisms by which increased physical activity may reduce plasma CRP [46]. By itself, physical activity may attenuate systemic inflammation or when combined with relevant changes in body weight or composition [47]. Moreover, there is evidence that physical activity boosts the activity of macrophages, natural killer cells, lymphokine-activated killer cells, neutrophils, and regulating cytokines with net anti-inflammatory and immunomodulation effects, which may contribute to the protective value of physical activity [48]. Based on the available scientific evidence so far cited, it is reasonable to expect that physical exercise will improve or sustain cardiopulmonary/physical fitness and general health and wellness [49], in HIV conditions. Therefore, it is understandable why physical exercise has been proposed as an adjunctive therapy for drug intervention in people with chronic diseases [50].

There is no doubt that the literature is replete with scientific evidence on the positive effects of physical exercises on multisystemic function in PLWH, and is therefore considered suitable as part of their management program [51]. Although, the results of some studies suggest an association between high physical activity level and lower levels of C-reactive protein and other surrogate markers of inflammation, findings from intervention studies of exercise alone or exercise and diet combined have been conflicting [52, 53].. Accordingly, the effects of physical activity on surrogate biomarkers of systemic inflammation, especially CRP, in patients with HIV may still be faced with much debate. Therefore, notwithstanding the positive findings in support of the role of physical exercise modalities in ameliorating symptoms of systemic inflammation, and cardiopulmonary function, a systematic appraisal of the available evidence in the literature is still required to determine the level of evidence, and therefore guide practice and further research. The aim of this systematic review was therefore to determine the impact of physical exercises on cardiopulmonary function and biomarkers of inflammation in HIV patients. The review question is: What are the effects of physical exercises (aerobic exercises or resistance exercises) on cardiopulmonary function and Inflammatory biomarkers in patients living with HIV? To answer the review question, specific review objectives sought to determine the effects of physical exercises on 1) inflammatory biomarkers and 2) cardiopulmonary function in patients living with HIV.

Methods

This Systematic review used the International Prospective Register of Systematic Reviews (PROSPERO) criteria and was certified on 21st June 2018 (registration number PROSPERO 2018: CRD42018098667).

Eligibility criteria

Eligibility criteria considered for selecting studies in the review include:

Inclusion criteria:
  1. 1.

    Type of studies

    Original research manuscripts in peer-review journals and conferences proceeding were included if published in the English Language. The review design for this study included RCTs and case-control studies, whose objective(s) included the evaluation of the: effects of physical exercises (aerobic/resistance) on inflammatory biomarkers and associated cardiopulmonary function in PLWH that are on ART treatment.

     
  2. 2.

    Type of participants

    The review included studies of exercise intervention done on patients infected with HIV. Studies involving adult human participants aged ≥18 years. No specific limitation was considered with respect to the study setting of the included studies. The studies included were mainly carried out in clinics, health centres, hospitals or community care settings.

     
  3. 3.

    Type of intervention

    RCTs and case-control trials of physical exercise intervention for PLWH were included in the review, which was not restricted to specified dosage, form, intensity, frequency and duration of intervention or follow-up period after aerobic intervention nor limited to weight training, isometric and isotonic strengthening for resistance exercise in PLWH.

     
  4. 4.

    Type of control

    RCTs and case-control trials of PLWH who were placed on medications for HIV treatment (ART) with/without counselling was used. The medical treatment was limited to any particular type of ART drug.

     
  5. 5.

    Timing

    Studies were included only if outcome assessment were conducted at the completion of the intervention and/or at ≤6 months post-intervention.

     
  6. 6.

    Types of outcome measures

    Studies that reported on observable changes in these or any other outcome measure of inflammatory biomarkers/cytokines - CRP, high sensitivity C-reactive protein (Hs-CRP), interleukin-1β (IL-1β), Interleukin-2(IL-2), interleukin-4 (IL), interleukin-5 (IL-5), Interleukin-6 (IL-6), Interleukin-8 (IL-8), Interleukin-10 (IL-10), Interleukin 18 (IL-18), Tumour necrosis factor alpha (TNF- α), Interferon gamma (IFN-ϒ), D-dimer, Soluble Tumor Necrosis Factor-II Receptor, soluble CD14(sCD14) and cardiopulmonary function - Peak Oxygen uptake (VO2 peak), VO2 max, FEV1, Tidal volume (TV), Oxygen pulse (O2 pulse), submaximal oxygen uptake (VO2 sub), maximal work rate (Wrmax), peak running speed (Vpeak), the slope/intercept values for heart-Rate workload relationship, 5 min Submaximal analysis of HR (HR5min) and ventilation (VE).

     

Outcome measures were not categorised into primary or secondary outcomes. Only studies involving inflammatory or cardiopulmonary outcomes were included. Analysis of clinical results to obtain effects of physical exercise intervention on inflammatory or cardiopulmonary outcomes was undertaken and graded into various levels of evidence using the Grading of Recommendations Assessment Development and Evaluation (GRADE) approach.

Exclusion criteria:
  1. 1.

    Studies without an exercise or physical activity component.

     
  2. 2.

    Narratives review synthesis, systematic reviews, opinion papers, letters and any publication without primary data and/or explicit description of the methods.

     
  3. 3.

    Duplicate publications from the same study, the most recent or most comprehensive publication.

     

Information sources and search strategy

A search strategy was formulated and piloted as shown in Additional files 1 and 2 and based on the guidelines of the Cochrane Handbook for Systematic Reviews [54] and advice for Health Care Review by the Centre for Reviews and Dissemination [55]. This was further adapted for use in other databases (Additional files 3 and 4). Databases included – [Cumulative Index to Nursing and Allied Health Literature (CINAHL), the Cochrane Library, Excerpta Medica dataBASE (EMBASE), Allied and Complementary Medicine Database (AMED), and PubMed]. Trial registers and directory of open-access repository websites were searched using controlled vocabularies and keywords: HIV/AIDS, Seropositive, aerobic exercises, resistance exercises, strengthen exercises, physical exercises, exercise program, exercise intervention, inflammatory biomarkers, cardiopulmonary function. A hand search was performed from the reference lists of identified studies.

Study record, selection process, and data management

Literature search results were exported into RefWorks to check for duplication of studies and subsequently exported from RefWorks into Microsoft Excel [56] to facilitate the management and selection of articles for inclusion. Eligibility questions and structures for the screening of the studies included in the reviewer were then developed, piloted and subsequently refined. The first review independently screened title, abstract and full texts of selected studies for eligibility and subsequently, a second reviewer validated the results based on the review eligibility criteria. Any difference in opinion regarding inclusion and exclusion was discussed with a third reviewer.

Quality appraisal and risk of bias

Adopting the Physiotherapy Evidence Database (PEDro) quality appraisal tool [57], the risk of bias for each of the included studies were evaluated by two reviewers using the PEDro 11-item scale in which the first item relates to external validity and the other ten items assess the internal validity of a clinical trial.

The procedures undertaken to assess each item for each study was explicitly described and rated as 9–10 (excellent); 6–8 (good); 4–5 (fair); < 4 (poor). Articles that met the criterion were awarded points. A score of one was given for each yes answer and zero for no, unclear and not applicable (N/A) answers for each study were tallied for all yes answers out of 10 based on the scores of individual items from the critical appraisal tool were added to present the total score. Both reviewers made judgments regarding the risk of bias independent of each other. Areas of differences were resolved by discussion and reflection, or in consultation with the third reviewer.

Data item

Data was collected from variables including authors’ references, participants’ characteristics, inclusion and exclusion criteria, study sample size, components of the intervention, the intervention setting, who delivered the intervention, the duration of the intervention and follow-up (where available), attrition rate, aspects of outcome assessed, the outcome measurement, methods/techniques, results, conclusions and funding sources.

Data synthesis and assessment of heterogeneity

To answer the review question regarding the effect of physical exercises on inflammatory biomarkers and cardiopulmonary function in PLWH, all quantitative study outcomes which analyzed the effectiveness of these interventions were considered and presented in a proof table. The appropriate statistical method was used for different variables: for a continuous variable, weighted mean differences were applied when outcomes are uniform or standard mean difference when different outcomes are used with 95%: CI while for a dichotomous variable, the Risk ratio was applied with 95%: CI. This review also includes a meta-analysis to find pooled effect sizes across studies, using a random-effects model relying on the level of heterogeneity of intervention effects. Heterogeneity was assessed through the Cochrane’s χ2 test (10% significance level) and Higgins I2 for which values of 25, 50, and 75% shows low, medium and high heterogeneity respectively as stipulated by the guidance in the Cochrane Handbook for Systemic Reviews of Interventions [55].

Data and sensitivity analysis

The primary outcomes were presented. Studies with homogenous characteristics, in terms of design, intervention, and comparator(s), were pooled together and analysed using a random-effects model [54]. Heterogeneous studies were interpreted by narrative synthesis following the guidelines of the Centre for Reviews and Dissemination to explore the relationship and findings between the included studies [55]. The impact of studies with a high risk of bias on the general outcomes was determined using sensitivity analysis.

Rating quality of evidence and strength of recommendation

The quality of evidence of the studies was evaluated to determine the strength of recommendation in the systematic review. This was judged utilizing the Grading of Recommendations Assessment Development and Evaluation (GRADE) approach [58] which comprise consistency; design; directness; precision; publication bias and study limitations. The individual study was graded as high risk of bias or low risk of bias. Finally, the individual evidence statement for this review was graded from ‘High Quality’ to ‘Very Low Quality’ according to the criteria (Additional file 5).

Results

Search result

Two different searches were conducted sequentially during the course of this study using the two-primary outcome separately in the search strategy.

Inflammatory biomarkers

Results of searches from all the involved sources produced 85 citations. Out of this number, 14 citations were removed as duplicates and the remaining 71 passed through title and abstract screening that yielded 10 publications. After the full-text screening, 8 articles met the inclusion criteria [44, 5964]. Figure 1 Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA Flow Diagram).
Fig. 1
Fig. 1

PRISMA Diagram for inflammatory biomarkers (INB), cardiopulmonary function (CPF): adapted from Moher, Shamseer & Clarke, et al., 2015; Preferred Reporting Items for Systematic Reviews and Meta Analyses

Cardiopulmonary function

Searches in the involved sources resulted in 319 citations. Duplicate screening removed 26 citations and further screening via title and abstract review yielded 18 publications that had to pass through full-text review. After this, 14 articles were considered eligible to be included in the study [36, 6577].

Reasons for exclusion

For inflammatory biomarkers; three full texts retrieved were excluded because one of the studies [78] did not access for the required outcome, another [79] involved seronegative individuals as the only control used rather than HIV positive patients and the third study [80] used placebo medication rather than ART.

For Cardiopulmonary function; three articles were excluded for not accessing the required outcome [81], and the inclusion of patients that have reached the advanced stage of AIDS-defining diagnoses [82, 83].

Included studies

Table 1 provided the study characteristics of the 22 studies included in this review, and further details are provided below: -

Inflammatory biomarkers

All Randomized and Case controlled trials that reported inflammatory biomarkers as an outcome were included. Two (2) studies employed the combination of aerobic and Resistance Exercises [35, 36, 61, 62]. Three (3) studies involved Resistance exercises only [44, 64, 80] while three studies utilized just aerobic exercises [59, 60, 63] Studies on Resistance exercises had two studies with Control groups that maintained their normal daily activities/habits [44, 80] and a study [64], with ‘No-exercise’ group as control. For Aerobic exercise studies; Bonato et al. [56], involved a ‘Strength-walk’ control group, Dudgeon et al. [60] had a ‘No-exercise’ control while Roos et al. [63], engaged a control group that maintained their standard clinic management. For the studies that combined both aerobic and resistant exercises; Pedro et al. [62], utilized Recreational activities as control, and Dudgeon et al. [61], maintained a ‘No-exercise’ control.

Cardiopulmonary function

Included studies that accessed cardiopulmonary function as an outcome were Randomized and case-control trials. Seven (7) of the studies employed the use of Aerobic exercise as intervention [66, 67, 7175]. In addition, Terry et al. [74], included flexibility exercise. Seven (7) studies utilized Resistant exercises [36, 6870, 73, 75, 77]. In addition, four studies [36, 68, 70, 77] included flexibility exercise. Aerobic exercise studies had control groups involved in a dietary, soft stretching and relaxation program [74], maintained current/usual level of activities during the course of the study [71, 75], did not engage in any exercise [65, 72], received counselling [66], and utilized conventional therapy [67] while Resistance exercise studies had Control groups that engaged in relaxation during the course of the study [66, 76], maintained normal/daily activities [36, 73] and did not engage in any form of exercise [68, 70, 77].

Participants of included studies

Inflammatory biomarkers

A total of 406 participants (obtained at baseline) were included in this review. Participants were all HIV adults both male and female with CD4+ cell count ranging from ≤150 cell/mm3 to ≥1000 cells/mm3 with the mean age of between 18 to 60 years and were consistent on ART regimen. Three studies had participants located in Brazil [44, 62, 80], two studies were in Columbia [60, 61] while three studies were done in South Africa, USA, and New Zealand respectively [58, 63, 64].

Cardiopulmonary function

A total of 667 participants (obtained at baseline) were included in this review. Participants were all HIV adults both male and female with CD4+ cell count ranging from ≤200 cell/mm3 to ≥1000 cells/mm3 with the mean age of between 18 to 65 years and were consistent on ART regimen. Two studies were performed in Nigeria [66, 67], four studies in Mozambique, Ireland, India, and Rwanda respectively [65, 70, 73, 77]. Furthermore, three studies were done in the USA [36, 71, 72], three studies in Brazil [68, 74, 76] while two studies were done in Columbia and California respectively [69, 75].

Outcome of intervention

For the inflammatory biomarkers; three studies [44, 59, 63] reported on high sensitivity CRP, four studies reported on Interleukin-6 [60, 61, 64, 80]; three studies reported on either Interleukin-10 [44, 62, 64] and Interleukin-1β [60, 64, 80]. Also, two studies reported on Interleukin-4, 6, 10 [62, 64] or Interleukin-8 [44, 62], while one study each reported on either interleukin-5 [62], Tumor Necrosis Factor [64], Soluble Tumor Necrosis Factor-II Receptor [61], Interferon-gamma [64], Interleukin-2 [64].

For the cardiopulmonary function; six studies [36, 65, 67, 71, 73, 75] reported on maximum Oxygen uptake/Consumption (VO2 max), another six studies [69, 70, 72, 74, 76, 77], reported on Peak Oxygen uptake (VO2 peak). Smith et al. [71], and Aweto et al. [66], reported on Forced Expiratory Volume in 1 sec (FEV1) while WRmax was reported by Stringer et al. [75] Moreover, Vpeak, submaximal oxygen uptake (VO2 sub) and HB5 min were reported by Pedro et al. [76], Tidal Volume (TV) and O2 pulse were reported by Perna et al. [72]. Finally, a study [68] reported on the slope/intercept values for heart-Rate workload relationship.
Table 2

Quality appraisal /risks of bias of included studies (PEDro Tool)

Study

Sources/Potential sources of biasa

Score quality

Eligibility criteria

Random allocation

Concealed allocation

Baseline similarity

Blind subject

Blind therapists

Blind accessor

Measures of key outcomes

Intention to treat

Between group

Point measure & variability

Aweto et al. [66]

Yes

Yes

No

Yes

No

No

No

Yes

No

Yes

Yes

5/10 Mod.

Bonato et al. [59]

Yes

No

No

Yes

No

No

Yes

No

No

Yes

Yes

4/10 Low

Dolan et al. [36]

Yes

Yes

No

Yes

No

No

No

Yes

Yes

Yes

Yes

6/10 Mod.

Dudgeon et al. [61]

Yes

Yes

No

Yes

No

No

No

No

No

Yes

Yes

4/10 Low

Dudgeon et al. [60]

Yes

Yes

No

Yes

No

No

No

No

No

Yes

Yes

4/10 Low

Ezema et al. [67]

Yes

Yes

No

Yes

No

No

No

Yes

No

Yes

Yes

5/10 Mod.

Farina-tti et al. [68]

Yes

Yes

No

Yes

No

No

Yes

Yes

Yes

Yes

Yes

7/10 Mod.

Hand et al. [69]

Yes

Yes

No

Yes

No

No

Yes

No

No

Yes

Yes

5/10 Mod.

Mangona et al. [70]

Yes

Yes

No

Yes

No

No

No

Yes

No

Yes

Yes

5/10 Mod.

McDermott et al. [65]

Yes

Yes

No

Yes

No

No

No

Yes

No

Yes

Yes

5/10 Mod.

Mutimura et al. [77]

Yes

Yes

No

Yes

No

No

No

Yes

No

Yes

Yes

5/10 Mod.

Patil et al. [73]

Yes

Yes

No

Yes

Yes

No

No

No

No

Yes

Yes

5/10 Mod.

Pedro et al. [76]

Yes

Yes

Yes

Yes

Yes

No

No

No

No

Yes

Yes

6/10 Mod.

Pedro et al. [62]

Yes

Yes

Yes

Yes

No

No

No

Yes

Yes

Yes

Yes

7/10 Mod.

Perna et al. [72]

Yes

Yes

No

Yes

No

No

No

Yes

Yes

Yes

Yes

6/10 Mod.

Roos et al. [63]

Yes

Yes

Yes

Yes

No

No

Yes

Yes

Yes

Yes

Yes

8/10 High

Smith et al. [71]

Yes

Yes

No

Yes

No

No

Yes

Yes

Yes

Yes

Yes

7/10 Mod

Stringer et al. [75]

Yes

Yes

No

Yes

No

No

No

No

No

Yes

Yes

4/10 Low

Terry et al. [74]

Yes

Yes

No

Yes

No

No

No

No

No

Yes

Yes

4/10 Low

Vingren et al. [64]

Yes

Yes

No

Yes

No

No

No

Yes

No

Yes

Yes

5/10 Mod

Zanettiet al [80].

Yes

No

No

Yes

No

No

No

Yes

No

Yes

Yes

4/10 Mod

Zanettiet al [44].

Yes

No

No

Yes

No

No

Yes

Yes

Yes

Yes

No

6/10 Mod.

aThe quality of the included studies assessed using the PEDro scale

Quality appraisal and risk of bias in included studies

Table 2 provided a summary of the risk of bias within included studies and further details are provided below.
Table 3

Data extraction of findings (except where specified, results are presented as intervention versus control group

Study

Outcome

[Int. (Mean ± SD) vs Cont (Mean ± SD); CI (…); p = …; d = …]

Aweto et al. [66]

Cardiopulmonary function

Baseline

Forced Expiratory Volume (1) (FEV1): [Int. (1.32 ± 0.62) vs Cont. (1.23 ± 0.52); p = 0.650]

Post-int.

Forced Expiratory Volume (1) (FEV1): [Int. (1.98 ± 0.55) vs Cont. (1.20 ± 0.53); p = 0.001]

Bonato et al. [59]

Inflammatory biomarker

High sensitive C-reactive protein

Baseline

[Walk group (1.9 ± NS) vs Walk Strength group (3.1 ± NS); p = NS]

post-int.

[Walk group (0.9 ± NS) vs Walk Strength (1.8 ± NS); p = NS]

Dolan et al. [36]

Cardiopulmonary function

Baseline

VO2 max [Int. (16.9 ± 1.0) vs Cont. (15.3 ± 1.1); p = 0.3]

Post-int.

Vo2 max: [int. (1.5 ± 0.8) vs Cont. (−2.5 ± 1.6); p < 0.001; d = NS)]

Dudgeon et al. [60]

Inflammatory biomarkers

Baseline

IL-6: [MOD. (3.6 ± 1.0) vs Cont. (3.6 ± 1.0); p = NS] IL-1β: [MOD. (5.9 ± 0.5) vs Cont. (6.2 ± 0.6); p = NS]

Post-int.

IL-6: [MOD. (3.1 ± 0.6) vs Cont. (6.1 ± 2.0); p = NS] IL-1β: [MOD. (7.5 ± 1.7) vs Cont. (6.1 ± 0.5); p = NS]

Dudgeon et al. [61]

Inflammatory biomarkers

Change after intervention

IL-6 [(2.7 ± 0.27);p = NS] IL-1β: [(3.8 ± 0.07); p = NS]

sTNFrII: [(2.8 ± 1.94); p = 0.05 at 30-mins for LOW group and p = 0.05 at MOD group]

Ezema et al. [67]

Cardiopulmonary function

Baseline

VO2 max [Int. (23.00 ± 2.54) vs Cont. (24.00 ± 2.54); p = 0.878]

Post-int.

VO2 max: [int. (30.87 ± 4.37) vs Cont. (23.87 ± 2.65); p < 0.000; d = NS)]

Farinatti et al. [68]

Cardiopulmonary function

Baseline

Slope for heart rate-workload relationship α [Int. (1.47 ± 0.4) vs Cont. (1.5 ± 0.3); p = NS]

Slope for heart rate-workload relationship α [Int. (1.18 ± 0.2) vs Cont. (1.67 ± 0.5); p = NS

After

Intercept for heart rate-workload relationshipbpm [Int. (76.5 ± 9.4) vs Cont. (78.5 ± 8.9); p = NS]

Intercept for heart rate-workload relationshipbpm [Int. (67.4 ± 8.2) vs Cont. (76.4 ± 7.0); p = NS]

For slope and Intercept, p < 0.05)

Hand et al. [69]

Cardiopulmonary function

Baseline

VO2 peak [EX. (31.6 ± 2.1) vs Cont. (29.4 ± 0.3); p = NS]

After

VO2 peak [EX. (39.9 ± 1.9) vs Cont. (29.4 ± 2.7); p < 0.01]

Mangona et al. [70]

Cardiopulmonary function

Baseline

VO2 peak [FEG (33.2 ± 5.5) vs Cont. (33.0 ± 5.5); p = NS]

VO2 peak [PEG. (31.3 ± 9.1) vs Cont. (33.0 ± 5.5); p = NS]

After

VO2 peak [FEG] (31.8 ± 7.1) vs Cont. (33.2 ± 3.9); P = 0.008]

VO2 peak [PEG. (34.8 ± 9.9) vs Cont. (33.2 ± 3.9); p = 0.010]

Mcdermott et al. [65]

Cardiopulmonary function

Baseline

VO2 max [Int. (33.2 ± 9.6) vs Cont. (36.7 ± 8.6.); p = 0.24]

Post-int.

Vo2 max [int. (37.4 ± 8.9) vs Cont. (39.0 ± 9.6);p = 0.85; d = NS)]

Mutimura et al. [77]

Cardiopulmonary function

Change comparison between the groups

VO2 peak [(4.7+  0.56); p = < 0.0001)

Patil et al. [73]

Cardiopulmonary function

Baseline

VO2 max [Int. (31.37 ± 2) vs Cont. (29.5 ± 2); p = NS]

Post-int.

Vo2 max: [int. (33.27 ± 2) vs Cont. (29.6 ± 2); p = 0.001; d = NS)]

Pedro et al. [76]

Cardiopulmonary function

Baseline

VO2 peak [Int. (26.3 ± 4.7) vs Cont. (26.3 ± 8.9); p = 0.0001]

VO2 sub [Int. (12.6 ± 2.8) vs Cont. (12.7 ± 2.9); p = NS]

Vpeak [Int. (7.2 ± 0.9) vs Cont. (6.8 ± 1.5); p = NS]

HR5min[Int.116 ± 21) vs Cont. (118 ± 17); p = NS]

Post-int.

VO2 peak: [int. (31.6 ± 5.6) vs Cont. (27.6 ± 7.6); p ≤ 0.05; ES = 0.55d = NS)]

VO2 sub [Int. (13.7 ± 3.1) vs Cont. (15.6 ± 3.1); p = NS; ES = − 0.57, d = NS]

Vpeak [Int. (8.4 ± 1.2) vs Cont. (7.0 ± 1.7); p ≤ 0.05; ES = 0.81]

HR5min[Int.105 ± 21) vs Cont. (113 ± 14); p ≤ 0.05; ES = − 0.43]

Pedro et al. [62]

Inflammatory biomarkers

Baseline

IL-4[Int. (11.4 ± 5.1) vs Cont. (11.0 ± 5.1); p < 0.05]

IL-5 [Int. (1.4 ± 0.4) vs Cont. (1.6 ± 0.9); p < 0.05]

IL-10 [Int.(7.3 ± 0.6) vs Cont. (7.3 ± 1.0); p < 0.05]

IL-8[Int.8.0 ± 4.4) vs Cont. (7.1 ± 5.1); p < 0.05]

Post-int.

IL-4[Int. (9.7 ± 6.3) vs Cont. (13.8 ± 8.3); p > 0.05; ES = − 0.60]

IL-5 [Int. (1.3 ± 0.6) vs Cont. (2.4 ± 2.1); p > 0.05; ES = − 0.68]

IL-10 [Int.(7.1 ± 0.4) vs Cont. (7.3 ± 1.0); p > 0.05; ES = − 0.79

IL-8[Int.5.4 ± 2.3) vs Cont. (8.1 ± 6.0); p < 0.03; ES = − 0.87]

Perna et al. [72]

Cardiopulmonary function

Baseline

VO2 peak: [Compliant (28.7 ± 7.5) vs control (28.3 ± 9.6); p = NS]

VO2 peak: [Compliant (28.7 ± 7.5) vs non-compliant (25.4 ± 9.1); p = NS]

O2 pulse [Compliant (11.7 ± 3.4) vs control (12.3 ± 3.2); p = NS]

O2 pulse [Compliant (11.7 ± 3.4) vs non-compliant (13.0 ± 2.6); p = NS]

Tidal Volume [Compliant (2.0 ± 0.6) vs control (12.3 ± 3.2); p = NS]

Tidal Volume [Compliant (2.0 ± 0.6) vs non-compliant (13.0 ± 2.6); p = NS]

Post-int.

VO2 peak: [Compliant (32.2 ± 7.2) vs control (26.5 ± 8.4); p < 0.01]

VO2 peak: [Compliant (32.2 ± 7.2) vs non-compliant (25.4 ± 8.8); p = NS]

O2 pulse [Compliant (13.0 ± 3.1) vs control (11.4 ± 2.8); p < 0.01]

O2 pulse [Compliant (13.0 ± 3.1) vs non-compliant (13.4 ± 2.5); p = NS]

Tidal Volume [Compliant (2.2 ± 0.6) vs control (2.0 ± 0.7); p < 0.01]

Tidal Volume [Compliant (2.2 ± 0.6) vs non-compliant (2.0 ± 0.7); p = NS]

Roos et al. [63]

Inflammatory biomarkers

Baseline

hs-CRP [Int. (8.58 ± 1.29) vs Cont. (5.45 ± 1.02); p ≥ 0.05]

At 6 months

hs-CRP [Int. (− 0.43 ± 1.04) vs Cont. (0.57 ± 0.60); p = 0.08]

At 12 months

hs-CRP [Int. (0.31 ± 1.29) vs Cont. (0.21 ± 0.59); p = 0.08;d = NS]

Terry et al. [74]

Cardiopulmonary function

Baseline

VO2 peak [Diet/Exer (32 ± 5) vs Diet only (34 ± 7); p > 0.05]

After

VO2 peak [Diet/Exer (40 ± 5) vs Diet only (35 ± 8); p = 0.001]

Smith et al. [71]

Cardiopulmonary function

Baseline

FEV1 [Int. (4.0 ± 0.6) vs Cont. (3.6 ± 0.9); p = NS]

VO2 max [Int. (34.9 ± 5.7) vs Cont. (31.0 ± 55.9); p = NS]

After

FEV1[Int (4.1 ± 0.8) vs Cont. (31.0 ± 5.9); P = 0.32]

VO2 max [Int. (37.5 ± 6.1) vs Cont. (32.0 ± 6.9); p = 0.09]

Stringer et al. [75]

Cardiopulmonary function

%, pre – post

WR max [MOD (179 ± 21) vs Cont. (166 ± 29); p < 0.01]

WR max [HEAVY. (162 ± 10) vs Cont. (166 ± 29); p < 0.01]

VO2 max [MOD 2.2 ± 0.2) vs Cont. (2.0 ± 0.3); P = 0.32]

VO2 max [HEAVY (1.9 ± 0.1) vs Cont. (2.0 ± 0.3); p = 0.01]

Vingren et al. [64]

Inflammatory biomarkers

Baseline

WR max [MOD (4.9 ± 3) vs Cont. (− 9 ± 5); p < 0.01]

WR max [HEAVY. (21 ± 15) vs Cont. (− 9 ± 5); p < 0.01]

VO2 max [MOD (− 0.1 ± 0.1) vs Cont. (− 0.2 ± 0.1); P = 0.32]

VO2 max [HEAVY (0.2 ± 0.1) vs Cont. (− 0.2 ± 0.1); p = 0.01

IL-1β [MOD. (0.2 ± 0.1) vs Cont. (0.3 ± 0.4); p = NS]

IL-2 [MOD. (2.6 ± 1.7) vs Cont. (4.8 ± 8.1); p = NS]

IL-4 [MOD.(16.0 ± 12.3) vs Cont. (17.7 ± 15.8); p = NS]

IL-6[MOD.(3.4 ± 1.3) vs Cont. (2.4 ± 0.9); p = NS]

IL-10 [MOD.(114.9 ± 64.8) vs Cont. (59.3 ± 16.0); p = NS]

IFN-ϒ[MOD.(14.2 ± 16.1) vs Cont. (10.5 ± 8.8); p = NS]

TNF-α [MOD.(16.4 ± 9.6) vs Cont. (10.3 ± 5.4); p = NS]

Post-int.

IL-1β[MOD. (2.6 ± 1.7) vs Cont. (4.8 ± 8.1); p = NS]

IL-2 [MOD. (2.4 ± 2.0) vs Cont. (4.6 ± 7.6); p = NS]

IL-4 [MOD.(14.0 ± 10.0) vs Cont. (17.7 ± 15.8); p = NS]

IL-6[MOD.(3.9 ± 1.8) vs Cont. (2.7 ± 1.3); p = NS]

IL-10 [MOD.(108.5 ± 67.0) vs Cont. (58.2 ± 17.8); p = NS]

IFN-ϒ[MOD.(11.4 ± 2.2) vs Cont. (10.3 ± 8.8); p = NS]

TNF-α [MOD.(15.4 ± 8.0) vs Cont. (9.9 ± 3.7); p = NS]

Zanetti et al. [44]

Inflammatory biomarkers

(pre- post)

IL-1β[NLRT (−1.1 ± 1.6) vs Cont. (0.19 ± 0.44); p < 0.0001]

IL-6 [NLRT (− 2.3 ± 0.4) vs Cont. (0.09 ± 0.3); p < 0.0001]

IL-8[NLRT (− 5.5 ± 3.4) vs Cont. (− 0.15 ± 2.3); p < 0.0001]

IL-10[NLRT (1 ± 0.4) vs Cont.(− 0.05 ± 1.3); p < 0.0001]

TNF-α [NLRT (− 5.72 ± 2.7) vs Cont.(1.33 ± 0.3); p < 0.0001]

Zanetti et al. [8]

Inflammatory biomarkers

(pre- post)

CRP [(mean + S.D) = NS; p = (p = .005)]

Eligibility criteria

Authors from the twenty-two (22) studies reported on the Inclusion and Exclusion criteria they used in recruiting and screening participants for their respective studies. Hence the low risk of bias was evident in the whole studies.

Random allocation

Twenty-one studies (21) reported on using randomization process to allocate their eligible participants to the different groups (Experimental: low, moderate or heavy, and Control group) while six out of them did not give a description of the method used for the randomization [44, 64, 68, 71, 72, 80]. One study [58] performed a pretest-posttest clinical trial. Low risk for selection bias was evident for the selected studies because they complied with randomisation in drawing the study samples.

Concealment of allocation

This is an overall 70% of selection bias as only seven studies [6063, 66, 67, 77] out of the 23 studies provided information on how concealment was used in allocating the participants the into the different study groups.

Baseline similarity

All the studies included participants who had similar baseline characteristics of measured variables. Low risk of selection bias is evident in the studies.

Bias on blinding

For the blinding of subjects and therapists during the intervention period, two studies [36, 48, 62, 73] reported on performing a single-blinded trial. For the blinding of those evaluating the outcome variables, five studies [59, 63, 68, 69, 71] have a low risk of bias here by reporting on the blinding of the assessors/evaluators that determined the measurement of the outcome variables.

The bias of outcome measurement from < 85% of initial participants (incomplete outcome data)

Form the total (1073) number of subjects randomized into different groups, 268 individuals dropped out from the respective studies accounting for ~ 25% of withdrawal rate ranging from 5% [36] to 39.12% [63]. Hence, an outcome measure bias exists as 14 out of the 22 selected studies carried out the post-intervention assessment of the key variables being studied using < 85% of subjects that were initially randomized into groups while one study did not report on the incomplete outcome or drop-outs [80]. Eight studies have a low risk of incomplete outcome bias by having a retention rate ranging from 85% [65, 70] to complete outcome [44, 64, 68] or complete in-patient; included the non-compliance subjects in the final outcome assessment [70, 71] and carrying out an intention-to-treat analysis for the drop-outs [36, 62, 63]. The compliance rate was also mentioned by almost all the studies.

Effects of intervention

Except where otherwise stated, the effects of the intervention are reported as a comparison of the intervention versus the control group.

Inflammatory biomarkers

High sensitivity C-reactive protein

Three studies provided data on high sensitivity CRP. One good quality trial with a score of six out of ten points [62] reported no statistically significant change (p = 0.08) in mean hs-CRP between groups while one fair and another good quality trials with a score of four out of ten points, respectively [44, 59], reported a significant reduction in hs-CRP level (p = 0.004 and p = 0.012, respectively) between the groups.

Interleukin-6

Four studies gave details on pro-inflammatory Interleukin-6. One fair-quality trial with a score of four out of ten points [44] reported on a statistically significant (p = .005) decline while another good quality trial with a score of five out of ten points [64] and a fair quality trial with a score of four out of ten points [60] stated that there was no significant change (p = 0.60) in the level of IL-6 between the groups. Dudgeon et al. [61], another fair-quality study with a score of four out of ten points, reported no significant change in all the cytokine levels, including IL-6 (p = 06) post 30 and 60-mins in the MOD group for each individual exercise session.

Interleukin-10

Three studies reported on anti-inflammatory Interleukin-10. A fair-quality trial with a score of four out of ten points [44] reported on a significant increase IL-10 levels (p = .030) in IL-10 between the groups while one good quality study with a score of seven out of ten points, respectively [62] and another fair-quality study [64] with a score of five out of ten points stated that no statistically significant change (p > 0.05) exists between the groups. Some studies that assessed for pro-inflammatory Interleukin-1β [60, 64] concluded that there was no significant effect (p > 0.05) of exercise training on IL-1β while a good quality RCT [80] with a score of six out of ten points reported a statistically significant decrease (p = 0.004) in CRP, following the intervention.

Interleukin-8, Interleukin-5, interferon-gamma, Interleukin-2, tumor necrosis factor and soluble tumor necrosis factor-II receptor

One good quality RCT on Interleukin-8 [62] with a score of six out of ten points stated that there was no statistical difference (p = 0.03) existing between groups while another study [44], reported a significant reduction (p = .010) in the biomarker. Vingren et al. [64], reported no significant effect (p > 0.05) of the intervention on the biomarkers - Tumor Necrosis Factor, Interferon-gamma, Interleukin-2. Dudgeon et al. [61], concluded that there was no significant decrease (p = 0.6) in Soluble Tumor Necrosis Factor-II Receptor while Pedro et al. [62], reported no statistically significant difference (p > 0.05) on interleukin-5, 4, 10.

Five quality studies reported a significant change in inflammatory cytokines in the exercise group following the period of the intervention in relation to the control group while three studies reported no significant effect (p > 0.05) of the intervention on the biomarkers between the exercise and control group. An analysis of cardiopulmonary function outcomes is presented in Table 3.
Table 1

Study characteristics

Study (Country), Design, Attrition

Participants

Interventions

Outcomes

Conclusion

Aweto et al. [66] (Nigeria), RCT, 17.5%

People living with HIV on HAART (n = 40).

Intervention: Aerobic exercise training three times a week for 6 weeks and counseling. Control: Control group received Counseling.

Cardiopulmonary function: FEV1 assessed at baseline and at 6th week.

FEV1 significantly improved in the study group compared with the control group

Bonato et al. [59] (New Zealand), Pilot clinical trial, 28.6%

Sedentary HIV-infected persons (cART-treated) with metabolic complications (n = 49).

Intervention: 12-week exercise training, consisting of three sessions per week of 60 min brisk walking with (strength-walk group) or without (walk group) 30 min circuit-training. Control: Pre-test- post-test walk-strength group.

Inflammatory biomarkers: High sensitivity CRP, Interleukin-6, 18, D-dimer, soluble CD14. Outcome assessed at baseline and at 12 weeks.

Brisk walking, with or without strength exercise, could improve lipid profile and inflammatory markers in chronic HIV infection.

Dolan et al. [36] (USA), RCT, 5%

HIV-infected women with increased waist-hip ratio and self-reported fat redistribution (n = 34).

Intervention: Home based aerobic exercise (60–75% of MaxHR, 20–30 min) and progressive resistant exercise with equipments (60–80% of 1-RM, 3–4 sets of 8–10 RM). Control: Maintained normal activities.

Cardiopulmonary function: VO2max. Outcome assessed at baseline and at 16th week.

There was a significant improvement in VO2max after 16 weeks of aerobic training relative to the control group.

Dudgeon et al. [61] (Columbia), RCT, 21.63%

HIV infected men (n = 37).

Intervention: For MOD group, 30 mins of aerobic exercise at 60–65% of age-predicted max HR and upper-body/lower-body resistant exercise (60% of 1-RM). For LOW group, 60 min of low intensity exercise (50% of age predicted max HR). Control: Did not receive any activity.

Inflammatory biomarkers: interleukin-6, soluble TNfrereceptor II. Outcome assessed at baseline 30, 30-mins post exercise, 60-mins post exercise.

There was an increase in Il-6 from baseline to post 30 (31%) and post 60 (23%) in the MOD group while the LOW group had a 3.5% decrease in sTNFrII (p < 0.05) at 30-mins post exercise compared with baseline.

Dudgeon et al. [60] (Columbia), RCT, 31.54%

HIV infected men (n = 111).

Intervention: 30 mins of moderate intensity aerobic exercise training on a treadmill or stationary cycle (60–75% of age-predicted max HR) and lower-body/upper-body resistant exercise (12-RM). Control: Did not receive any activity

Inflammatory biomarkers: Interleukin-6, 1β. Outcome accessed at baseline and 6th week

Although, there was no detectable change in the level of IL-6, IL-1β was significantly elevated.

Ezema et al. [67] (Nigeria), RCT, 9.1%

People Living with HIV who are receiving ART (n = 30).

Intervention: Moderate intensity continuous aerobic exercise training (60–79% of the maxHR, 40–60 min, 3 times/week) on a treadmill. Control: Conventional therapy involving ART and counseling.

Cardiopulmonary function: VO2max. Outcome assessed at baseline and at 8th week.

Moderate intensity continuous exercise program had a significant effect on VO2max.

Farinatti et al. [68] (Brazil), RCT, nil

Seropositive patient treated with HAART.

Intervention: Aerobic exercise on cycle ergometer (30 mins); strengthening exercises (3 sets of 12 reps; Flexibility exercise (10 mins). Control: Participants did not receive any exercise.

Cardiopulmonary function: VO2max. Outcome assessed at baseline and at 12th week.

Overall training can improve aerobic fitness of HIV-infected patients with no negative effect on their immunological function.

Hand et al. [69] (Columbia), RCT, 34.88%

HIV-infected men and women (n = 43).

Intervention: Aerobic exercise training on threadmill (30 mins, 50–70% of age predicted MHR) and upper-body/lower body resistance training (20 mins, 12-RM). Control: wait-list

Cardiopulmonary function: VO2 max. Outcome assessed at baseline and at 6thweek.

There was a significant increase in estimated VO2 max (p = 0.001) using moderate exercise training

Mangona et al. [70] (Mozambique), RCT, 15%

HIV+ African Women taking ART (n = 53).

FEG: 20 mins of cycling at 60–85% of V2 peak and muscular endurance; circuit training consisting of 6 free weight exercises (15-RM); stretching exercises (n = 19) PEG: recreational activities Control: No exercise

Cardiopulmonary function: VO2 max. Outcome assessed at baseline and at 12th week.

Cardiopulmonary fitness increases significantly in VO2 peak (FEG: 14.8%; PEG: 11.1%) with no significant difference in the CG

McDermott et al. [65] (Ireland), RCT, 15.4%

HIV+ patients without any known cognitive function (n = 13).

Supervised session of exercise training (ergometer, treadmill, cross trainer); 40–75% of HRreserve and unsupervised session (jogging, brisk walking, cycling) 3 times per week. Control: Advised to continue with normal routine.

Cardiopulmonary function: VO2max. Outcome assessed at baseline and at 16th week.

Aerobic exercise had no effect on aerobic fitness or cognitive function.

Mutimura et al. [77] (Rwanda), RCT, 4%

HIV+ patients with moderate to severe Body fat redistribution (n = 150).

Supervised training program (stretching, aerobic and strengthening exercises) 45–75% of age predicted Max HR. Control: Participants did not perform any exercise training.

Cardiopulmonary function: VO2peak. Outcome assessed at baseline and at 6th month.

Exercise training positively improved cardiorespiratory fitness in HAART-treated HIV+ Africans.

Patil et al. [73] (India), RCT, 40%

HIV-positive females (n = 40).

Aerobic exercise (brisk walking, 50–70% of VO2max) and resistance exercise via free weight. Control: Advised to continue their routine level of daily tasks and activities.

Cardiopulmonary function: VO2peak. Outcome assessed at baseline and at 8th week.

Moderate intensity improved aerobic capacity in experimental HIIV group.

Perna et al. [72] (South Florida), RCT, 34.88%

Symptomatic HIV-1 seropositive men and women (n = 43).

An interval cycling exercise program (3 times per week) for 3 months; 45 mins, 70–80% of mHR. Control: Continued with usual activity (wait-list).

Cardiopulmonary function: VO2peak, O2 pulse, Tidal volume. Outcome assessed at baseline and at 12th week.

Functional aerobic limitations common in HIV-infected individuals can be reversible through exercise adherence.

Pedro et al. [76] (Brazil), RCT, 43.1%

Adults living with HIV (n = 58).

Intervention: Concurrent training (15–20 min of aerobic exercise; 50–70% of HRrest plus 40 mins of resistant exercise; 2–3 sets of 8–12 RM) 3 times per week The resistant exercise involves free weights & machine. Control: Optional Recreational activities (once/twice per week).

Cardiopulmonary function: VO2peak, VO2sub, peak speed. Outcome assessed at baseline and at 16th week.

Concurrent training was effective in improving cardiopulmonary fitness and endurance.

Pedro et al. [62] (Brazil), RCT, 42.86%

Adults living with HIV (n = 49).

Concurrent training consisting of 20-min aerobic exercise training on a treadmill (50–70% of HR) and resistant training (8 exercises via free weights or machine, 2–3 sets of 8–12 RM). Control: 60 min of recreational activities comprising of dancing, walking, stretching.

Inflammatory biomarkers: Intrleukin-4, 5, 6, 8, 10, Tumor Necrosis Factor-alpha, IFN-ϒ. Outcome accessed at baseline and 16th week.

Concurrent training decreased the pro-inflammatory effects of IL-5, IL-5, 8, 10 in HIV infected people undergoing ART.

Smith et al. [71] (USA), RCT, 18%

HIV-1 Infected adults (n = 60).

Intervention: Supervised aerobic exercise training program (3x per wk) for 30 mins, 60–80% of VO2 max. Control: Continued with usual activity (wait-list)

Cardiopulmonary function: FEV1, Vo2 max. Outcome assessed at baseline and at 12th week.

There was a beneficial increase in VO2max by 2.6 mL/kg.

Stringer et al. [75] (California), RCT, 23%

HIV positive subjects (n = 34).

Intervention: For MOD, aerobic exercise (80% of LAT work rate, 3 times per week). For HEAVY: aerobic exercise (50% of difference between their LAT and their VO2 max) for 30–40 min on cycle ergometer. Control: Maintained current level of activity without change.

Cardiopulmonary function: FEV1, VO2max. Outcome assessed at baseline and at 6th week.

Aerobic fitness increased was significantly in both the EX groups relative to the control group.

Roos et al. [63] (South Africa), RCT, 39.2%

HIV-infected individuals with the risk factor of Ischemic Heart Diseases (n = 84).

Intervention: Education and home-based pedometer walking program to improve participants’ activity.30 min walking program 3 or 5 times a week over a 12-week period. Control: continued with standard clinic management

High Sensitivity CRP. Outcome assessed at baseline and at 12 weeks.

Intervention had no effect on CRP.

Terry et al. [74] (Brazil), RCT, 28.57%

Carriers of HIV-1 virus who had hyperlipidemia (n = 42).

Intervention: Aerobic exercise training (30 mins of the target intensity) using treadmill and stretching exercises. Control: 45 mins of soft stretching and relaxation routine without significant elevation of HR

Cardiopulmonary function: VO2max. Outcome assessed at baseline and at 12th week.

Intervention resulted in a significant improvement in VO2max for the Diet/EX group compared to the Diet-only group.

Vingren et al. [64] (USA), RCT, nil

Men infected with HIV and recently admitted to an inpatient substance facility (n = 30).

Intervention: Progressive overload Resistance training program comprising of free weight and cable controlled exercise (3x per week, 3–5 sets of 5–12 reps). Control: Maintained usual daily activities.

Inflammatory biomarkers: IL-10, 6, 4, 2, 1β, IFN-ϒ Outcome assessed at baseline and at 6th week.

Intervention had no effect on basal concentration of circulating cytokines for men living with HIV and undergoing treatment for substance abuse.

Zanetti et al. [80] (Brazil), RCT, nil

Previously sedentary people infected with HIV (n = 30).

Intervention: Non-linear Resistance intervention with free weight exercises on 3 alternate days. Control: Maintained daily habits.

Inflammatory biomarkers: Interlleukin-6, 8, 10, 1β. Outcome assessed at baseline and at 12th week.

There was an increase in IL-10, and a decrease in IL-1β, IL-6, IL-8, TNF-α.

Zanetti et al. [44] (Brazil), RCT, nil

People living with HIV that are on HAART (n = 30).

Intervention: Supervised nonlinear Resistance training program 3times per week on nonconsecutive days via free weight. Control: Maintained usual daily activities

High Sensitivity CRP. Outcome assessed at baseline and at 12th week.

There was a significant reduction in CRP levels in inflammatory markers in PLHIV.

Cardiopulmonary function

Three studies [67, 73, 75], reported a significant improvement (p = 0.0001; p = 0.001; p = < 0.01) in aerobic fitness/capacity in the study group. Eight studies [36, 67, 69, 70, 72, 74, 76, 77] reported statistically significant (p < 0.05) improvement in the peak/maximum oxygen uptake post-training period in the intervention group while two studies [65, 66] reported no significant (p > 0.05) improvement of the intervention on the stated outcomes. Two other trials [66, 70] reported a significant increase (p < 0.01) effect, respectively, in the mean of the FEV1 in the study group, compared to that the control group. Farinatti et al. [68], observed a significant improvement (p < 0.05) in the slope/intercept values for heart-Rate workload relationship. Hence, a total of 13 studies reported a statistically significant improvement in the cardiopulmonary-related parameters while two other studies reported no significant improvement in the study group (Table 3).

Meta-analyses- effect of interventions

Based on the observed homogeneity of intervention effects, this review performed three meta-analyses across three subgroup comparisons, which included meta-analyses of various exercise interventions on cardiopulmonary function - V02 Max and inflammatory biomarkers (IL-6 and IL-1β). The sub-group comparisons of the meta-analyses were;
  1. 1.

    Aerobic exercises plus resistance exercises compared with normal activities/wait list as a control.

     
  2. 2.

    Aerobic exercises only compared with normal activities/wait list as a control.

     
  3. 3.

    Resistance exercises only compared with normal activities/wait list as a control.

     
  4. 4.

    Physical exercises (i.e. all types of exercises) compared with normal activities/wait list as a control.

     

For the VO2 Max outcome, five studies [36, 69, 70, 73, 76] compared aerobic exercises plus resistance exercises group with normal activities/wait list control group. Five studies [65, 67, 71, 72, 74] compared aerobic exercises only with normal activities/wait list control group.

For IL-6 outcome, two studies [60, 61] compared aerobic exercises plus resistance exercises group with normal activities/wait list control group. Also, two studies [64, 80] compared resistance exercises only with normal activities/wait list control group.

For IL-1β outcome, one study [60] compared aerobic exercises plus resistance exercises group with normal activities/wait list control group. However, two studies [64, 80] compared resistance exercises group with normal activities/wait list control group. Therefore, ‘physical exercises’ was considered as a sub-group to include the three studies in the meta-analyses.

Heterogeneity test

Systematic heterogeneity (p < 0.1) was observed in the 3 meta-analyses conducted. This could be as a result of variances in gender, types of intervention, duration of the intervention and study location. Therefore, a random effect model was used for the meta-analyses.

Results of Meta-analyses

Cardiopulmonary function (VO2 max)

Twelve of the twenty-two included studies (50%) assessed VO2 Max/peak as a cardiopulmonary function outcome. However, only ten [36, 65, 67, 6974, 76] of the studies were included in meta-analyses, while the other two studies [75, 77] were excluded due to incomplete data outcome reporting and failure to send the data after 3 consecutive emails.

There was an overall statistically significant (Z = 3.80, p < 0.0001) change in VO2 Max between comparison groups. Results demonstrated a statistically significant (Z = 2.62, p = 0.009) trend towards an increase in V02 Max in subjects in the aerobic exercises plus resistance exercises group compared with normal activities control group (i.e. in favour of the intervention). There was also a statistically significant (Z = 6.29, p < 0.0001) trend towards an increase in VO2 Max in subjects in the aerobic exercises group compared with normal activities control group (i.e. in favour of the intervention) (Fig. 2).
Fig. 2
Fig. 2

Forest plot for VO2 Max

Interleukin-6 (IL-6)

Four of the twenty-two included studies (17.39%) evaluated the effect of exercises on IL-6. The four studies [44, 60, 61, 64] were included in the meta-analyses. There was no overall statistically significant (Z = 1.98, p = 0.05) change in IL-6 level between comparison groups. Results demonstrated no statistically significant (Z = 1.60, p = 0.11) trend towards a decrease in IL-6 in subjects in the aerobic exercises plus resistance exercises group compared with normal activities control group (i.e. in favour of the intervention). There was also no statistically significant (Z = 0.39, p = 0.69) trend towards a decrease in IL-6 in subjects in the resistance exercises group compared with normal activities control group (i.e. in favour of the intervention) (Fig. 3).
Fig. 3
Fig. 3

Forest plot for IL-6

Interleukin-1β

Four of the twenty-two included studies (17.39%) evaluated the effect of exercises on IL-1β. However, three studies [44, 60, 64] were included in the meta-analyses, while one study [61] was excluded due to incomplete data outcome reporting and failure to send the data after 3 consecutive emails. Results demonstrated no statistically significant (Z = 0.25, p = 0.81) trend towards a decrease in IL-1β in subjects in the physical exercises group compared with normal activities control group (i.e. in favour of the intervention) (Fig. 4).
Fig. 4
Fig. 4

Forest plot for IL-1β

Discussion

Twenty-two trials determining the efficacy of various exercise interventions for improving the level of inflammatory biomarkers and cardiopulmonary functioning in patients living with HIV infection undergoing ART were reviewed. Studies included for the review were mainly of fair methodological quality with a moderate risk of bias. Five studies stated that there exists a significant change in inflammatory cytokines in the exercise (EX) group following the period of the intervention in relation to the control (CON) group while three studies reported no significant effect of the intervention on the biomarkers between the EX and CON group. Evidence from 12 studies reported a statistically significant improvement in the cardiopulmonary related parameters while two other studies reported no significant improvement in the study.

Meta-analyses suggest that performing constant or interval aerobic exercise or a combination of constant aerobic exercise and progressive resistive exercise for at least 15 min, 23 times per week for at least 4 weeks may improve the cardiopulmonary functioning (maximum/peak oxygen consumption) of the individual. Results suggest that physical exercise is safe for medically stable adults living with HIV. This result is supported in that few or no reports of adverse effects of exercise as an intervention among studies as well as the absence of change in CD4+ cell count and viral load in the subjects. It is also based on participants who completed the exercise interventions and for whom there were adequate follow-up data which was clearly stated. Twenty-two studies were incorporated into the update of this systematic review, out of which 14 of them were included in the meta-analyses [36, 44, 60, 61, 65, 67, 6974, 76, 80].

For the studies that assessed inflammatory biomarkers: four out of eight [44, 60, 61, 64] studies were included in the meta-analyses conducted for interleukin-6 and interleukin-1β. The meta-analyses revealed that exercises had no significant effects on the plasma level of these inflammatory biomarkers compared to the control. Our finding is different from the findings of a previous study [81] which revealed that negative side effects, such as caused by chronic inflammation, are known to be improved using the routine exercise. Individual studies [59, 80] reported a significant reduction in high sensitivity C-reactive protein, while Roos et al. [63], reported no significant effect on the outcome. Pedro et al. [62], also reported that there was no significant effect on IL-5, 4, 10 that were assessed. Overall, 25% (i.e. two out of eight) of the studies on the effects of exercises on inflammatory biomarkers reported no significant effect.

For the cardiopulmonary outcomes: Ten of the fourteen studies that assessed for VO2 max were included in the meta-analyses [36, 65, 67, 6974, 76], which revealed that there are a potentially clinically significant improvements in VO2 max among the exercisers when compared with the control group. These findings are similar to findings of previous reviews conducted by Jaggers and Hand [81], Nixon et al. [82], O’Brien et al. [83], O’Brien et al. [84], and O’Brien et al. [85]. Individual studies that evaluated other cardiopulmonary outcomes such as the slope/intercept values for heart-Rate workload relationship [68], WRmax [75], and FEV1 [66], reported a significant improvement in the values of the assessed outcomes. Overall, exercise appears to have a beneficial effect on adults living with HIV with cardiopulmonary dysfunction.

This review includes 21 randomized controlled trials and one case-control trial comparing the effect of different exercise interventions to non-exercising control or an alternative intervention. Eight of the included studies used aerobic exercises as intervention while three of the studies employed the use of resistant exercise only. Eleven of the included studies in this review involved concurrent exercise training (combined resistive and aerobic exercise interventions) thus underlining an increasing trend of combined exercise interventions in the literature [36, 5962, 6870, 73, 76, 77]. The recommended dosage of aerobic exercise recorded to be effective in this review was based on the exercise Frequency, Intensity, Time and Type (FITT) principle: exercise frequency of 3–5 sessions/week; exercise intensity: 45–80% age-predicted maximal heart rate (APMHR),40–65% of VO2max/peak, 40–75% of heart rate (HR), 50–80% of lactic acidosis threshold (LAT) work rate; exercise time: 15–60 min; and exercise type: prolonged endurance exercise involving large muscle groups, such as those used in walking, running, cycling. The resistant exercises involve exercise frequency of 3–5 sessions/week; exercise intensity: 60–80% of one repetitive maximum (1-RM), 2–5 sets of 8–15 reps. Collectively, the results of this review are complementary to other previous review involving either or both of the interventions highlighting the benefits of exercise for people living with HIV.

Quality of evidence

Meta-analyses were limited due to incomplete data outcome reporting, low sample size, comparison groups and variation in outcome measured. Studies included in this review demonstrated a high risk of performance bias due to the inability to blind participants and exercise supervisors in the exercise intervention. Studies that blinded the assessors of outcome were limited resulting in a high risk of assessor bias. Furthermore, there was a high risk of attrition bias evident in the incomplete data and a dropout rate of > 15% was viewed in many of the studies together with the failure to conduct an ‘Intention-to-treat’ analysis. These subsequently brought about a moderate quality rate in many of the included studies using the GRADE ratings for quality of evidence.

Conclusions

Implications for practice

There is evidence that cardiopulmonary function is significantly improved in patients with HIV infection by engaging in either aerobic exercises (jogging, brisk walking, stretching exercises, cycling, treadmill, and cross trainer - for 30–60 min, 3–5 times/week, at 40–80% maxHR, or 50–80% VO2 or 50% of LAT work rate or heavy aerobic – 50% difference between LAT and VO2max on cycle ergometer) or resistance exercises (1–6 free weight exercises, 3 times/week, at 60–80% of 1 RM, 3–4 sets of 8–12 RM, or 60–80% V2 peak and muscular endurance, for 30–60 min) or a combination of both exercises [aerobic exercise - 15 -20mins, at 50–70% of HRrest, plus resistance exercises (free weight and machine), 2–3 sets of 8–12 RM, for 3–5 times/week]. The findings from this study are very important because available evidence [86] suggests that co-morbidities that are associated with degeneration in HIV conditions are worsened by malnutrition, lack of physical exercise and restriction in social participation leading to multi-system (neurological, musculoskeletal, cardiopulmonary and metabolic) impairments. These conditions could minimisze functional mobility with adverse impact on socialiszation resulting in restricted social participation at the community level. Therefore, the evidence from this study recommends physical exercises (specifically either aerobic exercises, resistance exercises or a combination of both) as an effective clinical tool for addressing some of the cardiopulmonary health challenges of PLWHA such that improved management of these disease symptoms using physical exercises might improve physical and social functioning at no extra financial cost, and with little or no side effects to the PLWHA. However, there is no evidence that these interventions have significant effects on inflammatory biomarkers in patients living with HIV. The interpretation of this finding should not be seen as ‘No evidence of effect’ because the individual trial studies did not attain sufficient power to detect treatment effects due to the small sample sizes.

Implication for research

The research found more published studies that assessed the combination of both aerobic and resistance interventions with the inclusion of flexibility exercises and home-based pedometer walking program [63]. There was also existing co-interventions such as Education [63], diets [74], and counseling [66]. Evidence regarding the effects of exercise on the specified outcomes, especially for the biomarkers, is limited by the high rate of withdrawal from the study and non-adherence on the part of the participants. Moreover, meta-analyses could not be conducted on some of the parameters such as Interleukin-8, 10 hs-CRP and Forced Expiratory Volume in 1 sec as a cardiopulmonary outcome as a result of the limited number of available clinical trials especially RCTs.

The study population included both younger and older adults both male and female without considering the variation in the age of participants which could possibly influence the results. In addition, the inclusion of a pilot study with high risk of bias can possibly influence the evidence of the research. Therefore, further studies should address the limited number of RCTs and the weaknesses of the available studies as already mentioned above, otherwise it will be difficult to reach a scientific conclusion that will guide practice on the effects of exercises on such parameters as Interleukin-8, 10, hs-CRP and Forced Expiratory Volume in 1 sec as cardiopulmonary outcome measures.

Limitations of study

  1. 1.

    The use of an active control group resulted in a difficulty in determining the specific values of the outcomes versus the usual care or nothing.

     
  2. 2.

    Inability to conduct meta-analyses for all the outcomes assessed by the included studies due to the limitation of incomplete outcome reporting. This limited the evidence of findings.

     

Abbreviations

1-RM: 

One repetitive maximum

AMED: 

Allied and Complementary Medicine Database

APMHR: 

Age-predicted maximal heart rate

ART: 

Highly Active Antiretroviral therapy

BMI: 

Body mass index

CINAHL: 

Cumulative Index to Nursing and Allied Health Literature

CON: 

Control

CRP: 

C-reactive protein

CVD: 

Cardiovascular disease

EMBASE: 

Excerpta Medica database

EX: 

Exercise

FEV1

Forced expiratory volume at the first second

FITT: 

Frequency, Intensity, Time and Type

GRADE: 

Grading of Recommendations Assessment Development and Evaluation

HIV: 

Human immune deficiency virus

HR: 

Heart rate

HR5min

Submaximal analysis of HR

Hs-CRP: 

High sensitivity C-reactive protein

IFN-ϒ: 

Interferon gamma

IL-10: 

Interleukin-10

IL-18: 

Interleukin 18

IL-2: 

Interleukin-2

IL-4: 

Interleukin-4

IL-5: 

Interleukin-5

IL-6: 

Interleukin-6

LAT: 

Lactic acidosis threshold

MeSH: 

Medical subject heading

MOS: 

Medical outcomes study

NHREC: 

Nigeria Health Research Ethics Committee

O2 pulse: 

Oxygen pulse

OIs: 

Opportunistic illnesses

PEDro: 

Physiotherapy Evidence Database

PLWH: 

People living with HIV/AIDS

PRG: 

Progressive resistance exercise group

PRISMA: 

Preferred Reporting Items for Systematic Reviews and Meta-analyses

PROSPERO: 

International Prospective Register of Systematic Reviews

QoL: 

Quality of life

RCTS: 

Randomized control trials

RevMan: 

Review Manager

ROB: 

Risk of bias

ROS: 

Reactive oxygen species

SCD14: 

Soluble CD14

TNF- α: 

Tumour necrosis factor alpha

TV: 

Tidal volume

VE: 

Ventilation

VO2 max: 

Maximum Oxygen uptake/Consumption

VO2 peak: 

Peak Oxygen uptake

VO2 sub: 

Submaximal oxygen uptake

Vpeak: 

Peak running speed

WHS: 

Women’s Health Study

WRmax: 

Maximal work rate

Declarations

Acknowledgements

We wish to acknowledge the library staff of the Department of Medical Rehabilitation and College of Medicine, University of Nigeria, Enugu Campus, for all their support, assistance, and contributions to the success of this work.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Availability of data and materials

The datasets supporting the conclusions of this article are available in the institutional University of Nigeria repository and will be made easily available on request to the corresponding author, Sam Chidi Ibeneme, when required.

Authors’ contributions

ISC and CO conceived the study, participated in literature search and review, data extraction, study design and coordination, performed the statistical analysis, and helped draft the manuscript. FI, EMA and EFE participated in data extraction and helped drafted the manuscript. HM and GCI participated in literature search and review, data extraction and helped draft the manuscript. AON and SNE participated in the design of the study, coordination, and helped draft the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was approved by the University of Nigeria Health Research Ethics Committee on certificate number - –NHREC/05/01/2008B.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Medical Rehabilitation, Faculty of Health Sciences, University of Nigeria, Enugu Campus, Enugu, Nigeria
(2)
Department of Physiotherapy, Faculty of Health Sciences, School of Therapeutic Studies, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa
(3)
Department of Radiation Medicine, Faculty of Medical Sciences, College of Medicine, University of Nigeria, Ituku-Ozalla Campus, Enugu, Nigeria
(4)
Department of Nursing Sciences, Ebonyi State University, Abakaliki, Ebonyi State, Nigeria
(5)
Clinical Trial Consortium University of Nigeria, Nsukka, Nigeria

References

  1. Cummins NW, Badley AD. Making sense of how HIV kills infected CD4 T cells: implications for HIV cure. Mol Cell Ther. 2014;2(1):20.View ArticleGoogle Scholar
  2. World Health Organization. Global health estimates 2015: deaths by cause, age, sex, by country and by region, 2000–2015. Geneva: World Health Organization; 2016.Google Scholar
  3. UNAIDS. Data Book. Joint United Nations Programme on HIV/AIDS (UNAIDS). Geneva. 2017. http://www.unaids.org/sites/default/files/media_asset/20170720_Data_book_2017_en.pdf.
  4. Federal Republic of Nigeria- National HIV and AIDS Strategic Framework 2017-2021. https://www.childrenandaids.org/sites/default/files/2017-11/NATIONAL-HIV-AND-AIDS-STRATEGIC-FRAMEWORK.pdf.
  5. Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. Lancet. 2013;382(9903):1525–33.View ArticleGoogle Scholar
  6. Highleyman L. Inflammation, immune activation, and HIV. BETA. 2010;22(2):12–26.PubMedGoogle Scholar
  7. Temprano ANRS 12136 Study Group. A trial of early antiretrovirals and isoniazid preventive therapy in Africa. N Engl J Med. 2015;373(9):808–22.View ArticleGoogle Scholar
  8. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, Hakim JG, Kumwenda J, Grinsztejn B, Pilotto JH, Godbole SV. Antiretroviral therapy for the prevention of HIV-1 transmission. N Engl J Med. 2016;375(9):830–9.View ArticleGoogle Scholar
  9. Grossman Z, Meier-Schellersheim M, Sousa AE, Victorino RMM, Paul WE. CD4+ T-cell depletion in HIV infection: Are we closer to understanding the cause? Nature Medicine. 2002;8(4):319–23. https://doi.org/10.1038/nm0402-319.View ArticleGoogle Scholar
  10. Marcus JL, Chao CR, Leyden WA, Xu L, Quesenberry CP Jr, Klein DB, Towner WJ, Horberg MA, Silverberg MJ. Narrowing the gap in life expectancy between HIV-infected and HIV-uninfected individuals with access to care. J Acquir Immune Defic Syndr (1999). 2016;73(1):39.View ArticleGoogle Scholar
  11. Reust CE. Common adverse effects of antiretroviral therapy for HIV disease. Am Fam Physician. 2011;83(12):1143–451. Google Scholar
  12. Lee FJ, Carr A. Tolerability of HIV integrase inhibitors. Curr Opin HIV AIDS. 2012;7(5):422–8.View ArticleGoogle Scholar
  13. Gingo MR, Nouraie M, Kessinger CJ, Greenblatt RM, Huang L, Kleerup EC, Kingsley L, McMahon DK, Morris A. Decreased lung function and all-cause mortality in HIV-infected individuals. Ann Am Thorac Soc. 2018;15(2):192–9.View ArticleGoogle Scholar
  14. Kuller LH, Tracy R, Belloso W, De Wit S, Drummond F, Lane HC, Ledergerber B, Lundgren J, Neuhaus J, Nixon D, Paton NI. Inflammatory and coagulation biomarkers and mortality in patients with HIV infection. PLoS Med. 2008;5(10):e203.View ArticleGoogle Scholar
  15. Stacey AR, Norris PJ, Qin L, Haygreen EA, Taylor E, Heitman J, Lebedeva M, DeCamp A, Li D, Grove D, Self SG. Induction of a striking systemic cytokine cascade prior to peak viremia in acute human immunodeficiency virus type 1 infection, in contrast to more modest and delayed responses in acute hepatitis B and C virus infections. J Virol. 2009;83(8):3719–33.View ArticleGoogle Scholar
  16. Lawn SD, Meintjes G. Pathogenesis and prevention of immune reconstitution disease during antiretroviral therapy. Expert Rev Anti-Infect Ther. 2011;9(4):415–30.View ArticleGoogle Scholar
  17. Zicari S, Sessa L, Cotugno N, Ruggiero A, Morrocchi E, Concato C, Rocca S, Zangari P, Manno EC, Palma P. Immune Activation, Inflammation, and Non-AIDS Co-Morbidities in HIV-Infected Patients under Long-Term ART. Viruses. 2019;11(3):200.View ArticleGoogle Scholar
  18. Macatangay BJ, Yang M, Sun X, Morton J, De VG, Little S, Hogan C, Rinaldo CR. Brief Report: Changes in Levels of Inflammation After Antiretroviral Treatment During Early HIV Infection in AIDS Clinical Trials Group Study A5217. J Acquir Immune Defic Syndr (1999). 2017;75(1):137–41.View ArticleGoogle Scholar
  19. Shirai T, Suda T, Inui N, Chida K. Correlation between peripheral blood T-cell profiles and clinical and inflammatory parameters in stable COPD. Allergol Int. 2010;59(1):75–82.View ArticleGoogle Scholar
  20. O'Connor MF, Irwin MR. Links between behavioral factors and inflammation. Clin Pharmacol Ther. 2010;87(4):479–82.View ArticleGoogle Scholar
  21. Franceschi C, Campisi J. Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases. J Gerontol Ser A Biol Sci Med Sci. 2014;69(Suppl_1):S4–9.View ArticleGoogle Scholar
  22. Kopp JB. Chronic Kidney Disease in the Aging Human Immunodeficiency Virus-Infected Population; 2017. p. 619–21.Google Scholar
  23. Moso MA, Woolnough E, Langham F, Hoy JF, Cheng AC, Walker RG, Chrysostomou A, Woolley I, Weeraratne A, Trevillyan JM. Increasing prevalence and risk of chronic kidney disease in HIV-positive individuals: changing demographics over a six-year period. J Infect Dis. 2018;217:1013–5.Google Scholar
  24. Black S, Kushner I, Samols D. C-reactive protein. J Biol Chem. 2004;279(47):48487–90.View ArticleGoogle Scholar
  25. Stewart LK, Flynn MG, Campbell WW, Craig BA, Robinson JP, Timmerman KL, McFarlin BK, Coen PM, Talbert E. The influence of exercise training on inflammatory cytokines and C-reactive protein. Med Sci Sports Exerc. 2007;39(10):1714–9.View ArticleGoogle Scholar
  26. Attia EF, Miller RF, Ferrand RA. Bronchiectasis and other chronic lung diseases in adolescents living with HIV. Curr Opin Infect Dis. 2017;30(1):21–30.PubMedPubMed CentralGoogle Scholar
  27. Saetta M, Baraldo S, Corbino L, Turato G, Braccioni F, Rea F, Cavallesco G, Tropeano G, Mapp CE, Maestrelli P, et al. CD8+VE cells in the lungs of smokers with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 1999;160:711–7.View ArticleGoogle Scholar
  28. Pinto-Plata VM, Mullerova H, Toso JF, Feudjo-Tepie M, Soriano JB, Vessey RS, Celli BR. C-reactive protein in patients with COPD, control smokers and non-smokers. Thorax. 2006;61:23–8.View ArticleGoogle Scholar
  29. Sin DD, Man SF. Commentary: fuelling the fire–systemic inflammation and development of lung disease in the general community. Int J Epidemiol. 2006;35:1008–10.View ArticleGoogle Scholar
  30. MacNee W. Oxidative stress and lung inflammation in airways disease. Eur J Pharmacol. 2001;429(1–3):195–207.View ArticleGoogle Scholar
  31. Lee IT, Yang CM. Role of NADPH oxidase/ROS in pro-inflammatory mediators-induced airway and pulmonary diseases. Biochem Pharmacol. 2012;84(5):581–90.View ArticleGoogle Scholar
  32. Perandini LA, de Sá-Pinto AL, Roschel H, Benatti FB, Lima FR, Bonfá E, Gualano B. Exercise as a therapeutic tool to counteract inflammation and clinical symptoms in autoimmune rheumatic diseases. Autoimmun Rev. 2012;12(2):218–24.View ArticleGoogle Scholar
  33. Ford ES. Does exercise reduce inflammation? Physical activity and C-reactive protein among US adults. Epidemiology. 2002;1:561–8.View ArticleGoogle Scholar
  34. O'Brien K, Nixon S, Tynan AM, Glazier R. Aerobic exercise interventions for adults living with HIV/AIDS; 2010.View ArticleGoogle Scholar
  35. Fillipas S, Oldmeadow LB, Bailey MJ, Cherry CL. A six-month, supervised, aerobic and resistance exercise program improves self-efficacy in people with human immunodeficiency virus: a randomised controlled trial. Aust J Physiother. 2006;52(3):185–90.View ArticleGoogle Scholar
  36. Dolan SE, Frontera W, Librizzi J, Ljungquist K, Juan S, Dorman R, Cole ME, Kanter JR, Grinspoon S. Effects of a supervised home-based aerobic and progressive resistance training regimen in women infected with human immunodeficiency virus: a randomized trial. Arch Intern Med. 2006;166(11):1225–31.View ArticleGoogle Scholar
  37. Yar’Zever IS, Abubakar U, Toriola AL, Igbokwe NU. Effects of 12 weeks cycle exercise programme on CD4 count and viral load in HIV sero-positive patients in Kano, Nigeria. J AIDS HIV Res. 2013;5(11):415–21.Google Scholar
  38. Tchernof A, Nolan A, Sites CK, Ades PA, Poehlman ET. Weight loss reduces C-reactive protein levels in obese postmenopausal women. Circulation. 2002;105(5):564–9.View ArticleGoogle Scholar
  39. Solis LE. The Effects of Exercise Training Intensities on Changes in Body Composition, Visceral Adipose Tissue, Adiponectin and C-Reactive Protein. Master of Science Thesis. Department of Biology & Chemistry,  Texas A&M International University. 2017. http://hdl.handle.net/2152.4/151. Accessed Mar 2018.
  40. Mora S, Cook N, Buring JE, Ridker PM, Lee IM. Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation. 2007;116(19):2110–8.View ArticleGoogle Scholar
  41. Levinger I, Goodman C, Peake J, Garnham A, Hare DL, Jerums G, Selig S. Inflammation, hepatic enzymes and resistance training in individuals with metabolic risk factors. Diabet Med. 2009;26(3):220–7.View ArticleGoogle Scholar
  42. Phillips MD, Patrizi RM, Cheek DJ, Wooten JS, Barbee JJ, Mitchell JB. Resistance training reduces subclinical inflammation in obese, postmenopausal women. Med Sci Sports Exerc. 2012;44(11):2099–110.View ArticleGoogle Scholar
  43. Neto MG, Conceição CS, Carvalho VO, Brites C. Effects of combined aerobic and resistance exercise on exercise capacity, muscle strength and quality of life in HIV-infected patients: a systematic review and meta-analysis. PLoS One. 2015;10(9):e0138066.View ArticleGoogle Scholar
  44. Zanetti HR, Cruz LG, Lourenço CL, Neves FD, Silva-Vergara ML, Mendes EL. Non-linear resistance training reduces inflammatory biomarkers in persons living with HIV: a randomized controlled trial. Eur J Sport Sci. 2016 Nov 16;16(8):1232–9.View ArticleGoogle Scholar
  45. Mora S, Lee IM, Buring JE, Ridker PM. Association of physical activity and body mass index with novel and traditional cardiovascular biomarkers in women. JAMA. 2006;295(12):1412–9.View ArticleGoogle Scholar
  46. Flynn MG, McFarlin BK, Markofski MM. The anti-inflammatory actions of exercise training. Am J Lifestyle Med. 2007;1(3):220–35.View ArticleGoogle Scholar
  47. Lambert CP, Wright NR, Finck BN, Villareal DT. Exercise but not diet-induced weight loss decreases skeletal muscle inflammatory gene expression in frail obese elderly persons. J Appl Physiol. 2008;105(2):473–8.View ArticleGoogle Scholar
  48. Pedersen BK. Natural immunity–effect of exercise. Neuro Immune Biol. 2005;5:263–88 Elsevier.View ArticleGoogle Scholar
  49. Kylasov A, Gavrov S. Diversity of sport: non-destructive evaluation. Enc Life Support Syst. 2011;2:462–91.Google Scholar
  50. Bruunsgaard H. Physical activity and modulation of systemic low-level inflammation. J Leukoc Biol. 2005;78(4):819–35.View ArticleGoogle Scholar
  51. Ortiz A. Exercise for adults living with human immunodeficiency virus infection in the era of highly active antiretroviral therapy. Int J Phys Med Rehabil. 2014;2:213. https://doi.org/10.4172/2329.9096.1000213.View ArticleGoogle Scholar
  52. Nicklas BJ, You T, Pahor M. Behavioural treatments for chronic systemic inflammation: effects of dietary weight loss and exercise training. Can Med Assoc J. 2005;172(9):1199–209.View ArticleGoogle Scholar
  53. Bruun JM, Helge JW, Richelsen B, Stallknecht B. Diet and exercise reduce low-grade inflammation and macrophage infiltration in adipose tissue but not in skeletal muscle in severely obese subjects. Am J Physiol Endocrinol Metab. 2006;290(5):E961–7.View ArticleGoogle Scholar
  54. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011], The Cochrane Collaboration. Available via https://www.radioterapiaitalia.it/wp-content/uploads/2017/01/cochrane-handbook-for-systematic-reviews-of-interventions.pdf. Accessed 14 June 2018.
  55. Akers J, Aguiar-Ibáñez R, Baba-Akbari SA. CRD’s Guidance for Undertaking Reviews in Health care. York: Centre for Reviews and Dissemination (CRD); 2009.Google Scholar
  56. Microsoft. Microsoft Excel. Redmond: Microsoft, Computer Software; 2013.Google Scholar
  57. The physiotherapy evidence database. https://www.pedro.org.au/. Accessed June 2018. 
  58. Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P, Schünemann HJ. Rating quality of evidence and strength of recommendations: GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650):924.View ArticleGoogle Scholar
  59. Bonato M, Galli L, Passeri L, Longo V, Pavei G, Bossolasco S, Bertocchi C, Cernuschi M, Balconi G, Merati G, Lazzarin A. A pilot study of brisk walking in sedentary combination antiretroviral treatment (cART)-treated patients: benefit on soluble and cell inflammatory markers. BMC Infect Dis. 2017;17(1):61.View ArticleGoogle Scholar
  60. Dudgeon WD, Jaggers JR, Phillips KD, Durstine JL, Burgess SE, Lyerly GW, Davis JM, Hand GA. Moderate-intensity exercise improves body composition and improves physiological markers of stress in HIV-infected men. Isrn aids; 2012. p. 2012.Google Scholar
  61. Dudgeon WD, Phillips KD, Durstine JL, Burgess SE, Lyerly GW, Davis JM, Hand GA. Individual exercise sessions alter circulating hormones and cytokines in HIV-infected men. Appl Physiol Nutr Metab. 2010;35(4):560–8.View ArticleGoogle Scholar
  62. Pedro RE, Candido N, Guariglia DA, Melo BP, Bertolini DA, Peres SB, de Moraes SM. Exercise improves cytokine profile in HIV-infected people: a randomized clinical trial. Cytokine. 2017;99:18–23.View ArticleGoogle Scholar
  63. Roos R, Myezwa H, van Aswegen H, Musenge E. Effects of an education and home-based pedometer walking program on ischemic heart disease risk factors in people infected with HIV: a randomized trial. JAIDS. 2014;67(3):268–76.PubMedGoogle Scholar
  64. Vingren JL, Curtis JH, Levitt DE, Duplanty AA, Lee EC, McFarlin BK, Hill DW. Adding resistance training to the standard of care for inpatient substance abuse treatment in men with human immunodeficiency virus improves skeletal muscle health without altering cytokine concentrations. J Strength Cond Res. 2018;32(1):76–82.View ArticleGoogle Scholar
  65. McDermott A, Zaporojan L, McNamara P, Doherty CP, Redmond J, Forde C, Gormley J, Egaña M, Bergin C. The effects of a 16-week aerobic exercise programme on cognitive function in people living with HIV. AIDS Care. 2017;29(6):667–74.View ArticleGoogle Scholar
  66. Aweto HA, Aiyegbusi AI, Ugonabo AJ, Adeyemo TA. Effects of aerobic exercise on the pulmonary functions, respiratory symptoms and psychological status of people living with HIV. J Res Health Sci. 2016;16(1):17–21.PubMedGoogle Scholar
  67. Ezema CI, Onwunali AA, Lamina S, Ezugwu UA, Amaeze AA, Nwankwo MJ. Effect of aerobic exercise training on cardiovascular parameters and CD4 cell count of people living with human immunodeficiency virus/acquired immune deficiency syndrome: a randomized controlled trial. Niger J Clin Pract. 2014;17(5):543–8.View ArticleGoogle Scholar
  68. Farinatti PT, Borges JP, Gomes RD, Lima D, Fleck SJ. Effects of a supervised exercise program on the physical fitness and immunological function of HIV-infected patients. J Sports Med Phys Fitness. 2010;50(4):511.PubMedGoogle Scholar
  69. Hand GA, Phillips KD, Dudgeon WD, William Lyerly G, Larry Durstine J, Burgess SE. Moderate intensity exercise training reverses functional aerobic impairment in HIV-infected individuals. AIDS Care. 2008;20(9):1066–74.View ArticleGoogle Scholar
  70. Mangona L, Daca T, Tchonga F, Bule O, Bhatt N, Jani I, Damasceno A, Prista A. Suppl 1: M5: effect of different types of exercise in HIV+ Mozambican women using antiretroviral therapy. Open AIDS J. 2015;9:89.View ArticleGoogle Scholar
  71. Smith BA, Neidig JL, Nickel JT, Mitchell GL, Para MF, Fass RJ. Aerobic exercise: effects on parameters related to fatigue, dyspnea, weight and body composition in HIV-infected adults. Aids. 2001;15(6):693–701.View ArticleGoogle Scholar
  72. Perna FM, LaPERRIERE AR, Klimas N, Ironson G, Perry A, Pavone J, Goldstein A, Majors P, Makemson D, Talutto C, Schneiderman N. Cardiopulmonary and CD4 cell changes in response to exercise training in early symptomatic HIV infection. Med Sci Sports Exerc. 1999;31(7):973–9.View ArticleGoogle Scholar
  73. Patil R, Shimpi A, Rairikar S, Shyam A, Sancheti P. Effects of fitness training on physical fitness parameters and quality of life in human immunodeficiency virus-positive Indian females. Indian J Sex Transm Dis. 2017;38(1):47.View ArticleGoogle Scholar
  74. Terry L, Sprinz E, Stein R, Medeiros NB, Oliveira J, Ribeiro JP. Exercise training in HIV-1-infected individuals with dyslipidemia and lipodystrophy. Med Sci Sports Exerc. 2006;38(3):411–7.View ArticleGoogle Scholar
  75. Stringer WW, Berezovskaya M, O'brien WA, Beck CK, Casaburi R. The effect of exercise training on aerobic fitness, immune indices, and quality of life in HIV+ patients. Medicine & Science in Sports & Exercise; 1998.Google Scholar
  76. Pedro RE, Guariglia DA, Okuno NM, Deminice R, Peres SB, Moraes SM. Effects of 16 weeks of concurrent training on resting heart rate variability and cardiorespiratory fitness in people living with HIV/aids using antiretroviral therapy: a randomized clinical trial. J Strength Cond Res. 2016;30(12):3494–502.View ArticleGoogle Scholar
  77. Mutimura E, Crowther NJ, Cade TW, Yarasheski KE, Stewart A. Exercise training reduces central adiposity and improves metabolic indices in HAART-treated HIV-positive subjects in Rwanda: a randomized controlled trial. AIDS Res Hum Retrovir. 2008;24(1):15–23.View ArticleGoogle Scholar
  78. Trøseid M, Ditlevsen S, Hvid T, Gerstoft J, Grøndahl T, Pedersen BK, Nielsen SD, Lindegaard B. Reduced trunk fat and triglycerides after strength training are associated with reduced LPS levels in HIV-infected individuals. JAIDS. 2014;66(2):e52–4.PubMedGoogle Scholar
  79. Lindegaard B, Hansen T, Hvid T, Van Hall G, Plomgaard P, Ditlevsen S, Gerstoft J, Pedersen BK. The effect of strength and endurance training on insulin sensitivity and fat distribution in human immunodeficiency virus-infected patients with lipodystrophy. J Clin Endocrinol Metab. 2008;93(10):3860–9.View ArticleGoogle Scholar
  80. Zanetti HR, da Cruz LG, Lourenço CL, Ribeiro GC, de Jesus Leite MA, Neves FF, Silva-Vergara ML, Mendes EL. Nonlinear resistance training enhances the lipid profile and reduces inflammation marker in people living with HIV: a randomized clinical trial. J Phys Act Health. 2016;13(7):765–70.View ArticleGoogle Scholar
  81. Jaggers JR, Hand GA. Health benefits of exercise for people living with HIV: A review of the literature. American journal of lifestyle medicine. 2016;10(3):184–92. https://doi.org/10.1177/1559827614538750. Accessed Dec 2017.View ArticleGoogle Scholar
  82. Nixon  S, O'Brien  K, Glazier  R, Tynan  AM. Aerobic exercise interventions for adults living with HIV/AIDS. Cochrane Database of Systematic Reviews. 2005. Issue 2. Art. No.: CD001796. https://doi.org/10.1002/14651858.CD001796.pub2.
  83. Brien K, Nixon S, Tynan AM, Glazier RH. Effectiveness of aerobic exercise in adults living with HIV/AIDS: systematic review. Med Sci Sports Exerc. 2004;36:1659–66.View ArticleGoogle Scholar
  84. O'Brien  K, Nixon  S, Tynan  AM, Glazier  R. Aerobic exercise interventions for adults living with HIV/AIDS. Cochrane Database of Systematic Reviews 2010, Issue 8. Art. No.: CD001796. https://doi.org/10.1002/14651858.CD001796.pub3.
  85. O’Brien KK, Tynan AM, Nixon SA, Glazier RH. Effectiveness of aerobic exercise for adults living with HIV: systematic review and meta-analysis using the Cochrane collaboration protocol. BMC Infect Dis. 2016;16(1):182.View ArticleGoogle Scholar
  86. Anandh V, Peter I, Alagesan J, Rajendran K. Effect of progressive resistance training on functional capacity, quality of life and CD4 count in people with HIV/AIDS. Int J Physiother Res. 2014;2(4):626–30.Google Scholar

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