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. 2023 Oct 24;23:2083. doi: 10.1186/s12889-023-17029-0

Table 2.

Summary statistics on study variables between flat and hilly neighbourhoods

Variable Category Flat neighbourhood (n = 704) Hilly neighbourhood (n = 505)
n/Mean %/SD n/Mean %/SD
Categorical variables
 Gender Men 368 52.27 220 43.56
Women 332 47.16 285 56.44
Missing 4 0.57 0 0
Total 704 100 505 100
 Chronic disease status None 187 26.56 250 49.5
One or more 517 73.44 250 49.5
Missing 0 0 5 0.99
Total 704 100 505 100
 Relationship status In a relationship 235 33.38 145 28.71
Not in a relationship 376 53.41 360 71.29
Missing 93 13.21 0 0
Total 704 100 505 100
 Self-reported health Poor health 191 27.13 115 22.77
Good health 513 72.87 390 77.23
Total 704 100 505 100
Discrete/continuous variables
 Income (₵) 922.77 510.46 1407.21 948.01
 Education (yrs) 12.12 3.21 18.22 4.32
 Age (yrs) 62.91 9.29 61.31 9.95
 Frailty 6.23 3.76 21.44 2.27
 Sedentary behaviour (mins) 88.74 43.8 1032.36 1086.78

Findings from the t-test on sedentary behaviour: t = -18.10; df = 434.87; p < 0.001; 95% CI = ± 204.93; SD Standard deviation, n Frequency, % Percent, n and % apply to categorical variables whereas the mean and SD apply to discrete or continuous variables