Table 1

Gender differences in demographic and behavioral characteristics of participants

Male1 (n = 115)

Female1 (n = 94)

P-value2


Age (mean, years)

53

51

<0.001

Education

Higher Education (> 7 years)

31

17

Primary Education (≤ 7 years)

60

61

0.005

No Education

9

22

Administrative ward of residence

Mbagala

18.3

17.0

Mjimwema

9.6

16.0

0.43

Kimbiji

20.9

12.8

Kigamboni

26.1

28.7

Vituka

25.2

25.5

Individual income per month3

Low (≤50,000 Tshs/m)

56

71

Medium (>50,000–80,000 Tshs/m)

23

6

0.005

High (>80,000 Tshs/m)

21

22

Occupation

Not Employed

8

31

Public/Private Institutions

14

12

0.0001

Self Employed/Business

36

36

Farmers

42

21

Current Smoker

Yes

23

3

<0.0001

No

77

97

Current alcohol consumption

Yes

37

18

0.003

No

63

82

High alcohol intake (≥4 servings/day)

Yes

31

12

0.001

No

69

88

Physical activity4 (#MET-hours/day)

<26

34

33

26–37

39

26

>37

27

41

0.06


1Values are given as percentages (%) unless indicated

2Significance test: χ2-test for category variables and Kruskal-Wallis test for continuous variables

31300 Tshs = 1 US dollars

4Tertile cut-points was used to define physical activity categories

Njelekela et al. BMC Cardiovascular Disorders 2009 9:30   doi:10.1186/1471-2261-9-30

Open Data