Table 2. BMI values in different population sub-groups for each gender.
Variables | Males | Females | |||||
---|---|---|---|---|---|---|---|
BMI | β-value (%) | n | BMI | β-value (%) | n | ||
Sleep in the day | No | 23.2 (21.0, 26.9) | - | 296 | 28.6 (23.5, 35.0) | - | 569 |
Yes | 22.4 (19.9, 25.3)* | -2.49±1.17 | 116 | 27.2 (23.1, 33.6) | -1.58±0.92 | 237 | |
Smoking status | Current | 21.9 (19.6, 24.1) | - | 157 | 24.9 (21.5, 29.7) | - | 82 |
Former | 22.3 (20.5, 25.4) | 1.45±1.77 | 46 | 30.7 (25.2, 36.3)*** | 7.81±2.25 | 40 | |
Never | 24.2 (21.5, 27.7)*** | 5.34±1.10 | 226 | 28.6 (23.6, 34.7)*** | 5.76±1.36 | 711 | |
Smoke exposed | No | 24.5 (21.3, 30.6) | - | 79 | 30.7 (26.1, 36.3) | - | 225 |
Yes | 22.8 (20.3, 26.1)*** | -4.86±1.33 | 347 | 27.2 (22.8, 33.3)*** | -4.36±4.79 | 607 | |
High school graduate | No | 23.3 (21.2, 27.3) | - | 232 | 29.8 (24.8, 36.0) | - | 485 |
Yes | 22.2 (20.1, 26.2)* | -2.00±1.05 | 195 | 26.3 (22.2, 32.0)*** | -4.46±0.82 | 341 | |
Employed | No | 23.2 (21.0, 27.0) | - | 242 | 28.3 (23.7, 35.0) | - | 591 |
Yes | 22.5 920.6, 26.0) | -1.55±1.14 | 149 | 28.6 (23.6, 34.4) | 0.05±0.96 | 207 | |
Walk > 2km/day | No | 23.5 (21.1, 27.6) | - | 101 | 30.0 (23.1, 35.0) | - | 233 |
Yes | 22.8 (20.3, 26.2) | -1.84±1.23 | 319 | 27.7 (23.6, 34.4) | -1.43±0.91 | 593 | |
HIV status | Negative | 22.8 (20.5, 26.5) | - | 407 | 28.6 (23.6, 35.0) | - | 777 |
Positive | 24.7 (20.3, 29.9)* | 5.48±2.26 | 24 | 25.5 (22.8, 30.7)* | -4.46±1.61 | 57 | |
TB status | Negative | 22.9 (20.6, 26.6) | - | 418 | 28.4 (23.5, 34.7) | - | 813 |
Positive | 20.8 (19.0, 28.6) | 4.74±3.04 | 13 | 24.8 (21.9, 27.3)** | -7.45±2.60 | 21 |
Data is expressed as median (interquartile range)
*p≤0.05
**p<0.01
***p<0.001
BMI was logged; β-values (effect sizes) were multiplied by 100 to give percentage values (± SD) and were generated from regression models with “No” or “Negative” coded as 0 and “Yes” or “Positive” coded as 1 and for smoking status, “Former” and “Never” were both compared against”Current”.