Table 4.
Factors associated with BMI among women aged 40–60 years in Nairobi slums (2014–2015).
Model 1 |
Model 2 |
Model 3 |
||||
---|---|---|---|---|---|---|
Characteristics | Coeff | 95% CI | Coeff | 95% CI | Coeff | 95% CI |
Sociodemographic | ||||||
Household SES | ||||||
First Quintile (REF) | ||||||
Second Quintile | 0.061 | 0.020, 0.103 | 0.049 | 0.007, 0.091 | 0.053 | 0.008, 0.097 |
Third Quintile | 0.109 | 0.065, 0.151 | 0.101 | 0.058, 0.144 | 0.089 | 0.043, 0.135 |
Fourth Quintile | 0.164 | 0.120, 0.208 | 0.146 | 0.103, 0.190 | 0.131 | 0.084, 0.177 |
Fifth Quintile | 0.188 | 0.142, 0.234 | 0.172 | 0.126, 0.219 | 0.144 | 0.095, 0.193 |
Behavioural | ||||||
Tobacco use | ||||||
Never smoked (REF) | ||||||
Current smoker | −0.158 | −0.246, −0.071 | −0.175 | −0.264, −0.087 | ||
Former smoker | 0.013 | −0.047, 0.074 | 0.017 | −0.046, 0.079 | ||
Snuff use | 0.005 | −0.114, 0.124 | −0.018 | −0.140, 0.103 | ||
Chewing tobacco use | −0.016 | −0.220, 0.188 | 0.029 | −0.250, 0.308 | ||
Alcohol consumption | ||||||
Never consumed (REF) | ||||||
Current non-problematic | 0.075 | 0.003, 0.148 | 0.078 | 0.004, 0.151 | ||
Current problematic | −0.017 | −0.096, 0.062 | −0.028 | −0.110, 0.054 | ||
Former consumer | 0.01 | −0.022, 0.041 | 0.009 | −0.024, 0.041 | ||
Average sleep time per night | −0.015 | −0.023, −0.006 | −0.012 | −0.021, −0.003 | ||
Sedentary time (minutes/day | 0.001 | 0.001, 0.001 | 0.001 | 0.001, 0.001 | ||
Biological | ||||||
Ethnicity | ||||||
Kikuyu (REF) | ||||||
Kamba | −0.043 | −0.079, −0.007 | ||||
Luo | −0.070 | −0.110, −0.030 | ||||
Luhya | −0.072 | −0.113, −0.031 | ||||
Others | −0.085 | −0.131, −0.038 | ||||
HIV infection | −0.101 | −0.138, −0.064 | ||||
Tuberculosis infection | −0.077 | −0.120–0.034 | ||||
R2 | 0.104 | 0.124 | 0.189 | |||
∆R2 | 0.02 | 0.065 | ||||
F (p-value) | <0.001 | <0.001 | <0.001 | |||
BIC | −283.211 | −266.763 | −240.352 |
Only statistically significant factors in the final model are shown in the table. Other factors included are shown in the models.Model 1: Sociodemographic factors (Age, marital status, wealth index): Model 2: Model 1+ behavioural factors (Smoking, Alcohol, Diet) Model 3: Model 2+ Biological factors (Ethnicity, Diabetes, HIV, Tuberculosis).