Table 1 |
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|
Gender differences in demographic and behavioral characteristics of participants |
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|
Male1 (n = 115) |
Female1 (n = 94) |
P-value2 |
|
|
|
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|
Age (mean, years) |
53 |
51 |
<0.001 |
|
Education |
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|
Higher Education (> 7 years) |
31 |
17 |
|
|
Primary Education (≤ 7 years) |
60 |
61 |
0.005 |
|
No Education |
9 |
22 |
|
|
Administrative ward of residence |
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|
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 |
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|
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) |
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|
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 |
|
|
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|
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 |
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|
Njelekela et al. BMC Cardiovascular Disorders 2009 9:30 doi:10.1186/1471-2261-9-30 |
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