Table 3.
Adjusted odds ratios in interaction models for underweight and overweight among men and women, Bangladesh Demographic and Health Survey 2011
| Adjusted | Overall test of interaction | |||||
|---|---|---|---|---|---|---|
| Underweight | Overweight | Underweight | Overweight | |||
| OR | 95 % CI | OR | 95 % CI | P value | P value | |
| Model 1: age×gender | 0·7048 | 0·3024 | ||||
| Gender (ref.: women) | ||||||
| Men | 1·15 | 0·95, 1·37 | 0·40*** | 0·30, 0·53 | ||
| Age category (ref.: 19–34 years) | ||||||
| 35–49 years | 0·86*** | 0·78, 0·95 | 1·69*** | 1·51, 1·88 | ||
| ≥50 years | 1·32*** | 1·12, 1·55 | 1·59*** | 1·26, 2·00 | ||
| (Men v. women)×35–49 years | 1·10 | 0·92, 1·31 | 0·44*** | 0·36, 0·55 | ||
| (Men v. women)×≥50 years | 1·21 | 0·99, 1·47 | 0·35*** | 0·26, 0·46 | ||
| Model 2: residence×gender | 0·131 | 0·085 | ||||
| Gender (ref.: women) | ||||||
| Men | 1·11 | 0·96, 1·27 | 0·37*** | 0·30, 0·46 | ||
| Residence (ref.: rural) | ||||||
| Urban | 0·73*** | 0·64, 0·84 | 1·55*** | 1·34, 1·78 | ||
| (Men v. women)×urban | 1·33*** | 1·07, 1·64 | 0·46*** | 0·37, 0·57 | ||
| Model 3: education×gender | 0·165 | 0·004*** | ||||
| Gender (ref.: women) | ||||||
| Men | 1·27*** | 1·07, 1·51 | 0·25*** | 0·17, 0·27 | ||
| Education (ref.: no education) | ||||||
| Primary | 0·88*** | 0·78, 0·99 | 1·3*** | 1·12, 1·52 | ||
| Secondary or higher | 0·75*** | 0·66, 0·85 | 1·69*** | 1·48, 1·95 | ||
| (Men v. women)×primary | 1·07 | 0·89, 1·28 | 0·37*** | 0·28, 0·49 | ||
| (Men v. women)×secondary or higher | 1·04 | 0·85, 1·28 | 0·48*** | 0·39, 0·58 | ||
| Model 4: wealth×gender | 0·549 | 0·02*** | ||||
| Gender (ref,: women) | ||||||
| Men | 1·09 | 0·93, 1·27 | 0·24*** | 0·15, 0·37 | ||
| Wealth (ref.: poor) | ||||||
| Middle | 0·73*** | 0·64, 0·83 | 1·50*** | 1·23, 1·81 | ||
| Rich | 0·48*** | 0·42, 0·54 | 3·20*** | 2·76, 3·71 | ||
| (Men v. women)×middle | 1·20 | 0·97, 1·47 | 0·41*** | 0·29, 0·59 | ||
| (Men v. women)×rich | 1·20 | 0·99, 1·46 | 0·45*** | 0·37, 0·54 | ||
Ref., reference category.
Model 1 adjusts for residence, education, wealth tertile, marital status, region, working status plus two-way interaction between age and gender.
Model 2 adjusts for age, education, wealth tertile, marital status, region, working status plus two-way interaction between residence and gender.
Model 3 adjusts for age, residence, wealth tertile, marital status, region, working status plus two-way interactions between education and gender.
Model 4 adjusts for age, residence, education, marital status, region, working status plus two-way interaction between wealth tertile and gender.
***P<0·001.