You are viewing the site in preview mode

Skip to main content

Advertisement

Table 1 Personal and socio-demographic characteristics among study populations in the district of Kandy as a percentage (n = 200)

From: Socio-economic, Knowledge Attitude Practices (KAP), household related and demographic based appearance of non-dengue infected individuals in high dengue risk areas of Kandy District, Sri Lanka

Factors Study area χ2
Akurana KMC Gangawata Korale Kundasale Gampola
Age 15–35 20.0a 39.5b 17.5a 24.5a 39.5c χ2 = 87.87 (df = 8)
35–55 45.5 41.0 59.5 50.0 56.5
>  55 34.5 19.5 23.0 25.5 4.0
Sex M 98.5a 89.0b 91.0b 87.5b 85.5b χ2 = 28.29 (df = 4)
F 1.5 11 9 12.5 14.5
Family size 1 to 3 1.5a 16.5b 20.0c 25.5c 24.5c χ2 = 94.50 (df = 8)
4 to 6 42.0 51.5 71.5 70.0 62.0
>  7 56.5 32.0 8.5 4.5 13.5
Numbers of years residing in the house <  5 13.5a 7.0b 19.0a 15.0a 18.5a χ2 = 46.37 (df = 12)
6 to 25 37.5 20.0 23.0 24.0 30.0
26 to 50 32.0 44.0 42.5 41.5 37.0
>  50 17.0 29.0 15.5 19.5 14.5
Monthly income (LKR) ×  103 < 5 2.0a 0.0b 0.5c 1.0c 0.0c χ2 = 98.90 (df = 16)
5 to 10 5.5 2.0 2.0 2.5 1.0
10 to 20 30.0 8.0 12.0 10.0 5.0
20 to 30 24.0 86.0 64.0 58.0 65.5
> 30 38.5 4.0 21.5 28.5 28.5
  1. Different superscript letters (a, b, c and d) in the first row of each factor show significant dissimilarities among the study populations (p < 0.05) as a post-hoc comparison as suggested by “Chi-square test for Independence”, while similar superscript letters indicate significant similarities
  2. KMC Kandy Municipal Council area, df degree of freedom for each variable, χ2 Chi-square value. All contingency tests (χ2 tests) were significant at least at 0.05 probability level