Table 3.
Odds ratio of logistic regression assessing the impacts of selected variables on overweight or obesity of urban women in Bangladesh
| Variables with categories | Status of overweight or obesity of women | |||||
|---|---|---|---|---|---|---|
| Simple logistic regression | Multiple logistic regression | |||||
| Division | OR | 95 % CI | p value | OR | 95 % CI | p value |
| Rangpur (Ref.) | 1 | 1 | ||||
| Dhaka | 1 · 59 | 1 · 28–1 · 98 | <0 · 001 | 0 · 95 | 0 · 74–1 · 21 | 0 · 65 |
| Chittagong | 1 · 19 | 0 · 95–1 · 51 | 0 · 13 | 0 · 99 | 0 · 77–1 · 28 | 0 · 96 |
| Khulna | 1 · 69 | 1 · 34–2 · 13 | <0 · 001 | 1 · 32 | 1 · 02–1 · 70 | <0 · 05 |
| Rajshahi | 1 · 43 | 1 · 13–1 · 82 | <0 · 01 | 1 · 09 | 0 · 84–1 · 41 | 0 · 52 |
| Barisal | 1 · 35 | 1 · 05–1 · 75 | <0 · 05 | 1 · 07 | 0 · 81–1 · 42 | 0 · 62 |
| Sylhet | 1 · 46 | 1 · 14–1 · 88 | <0 · 01 | 0 · 95 | 0 · 72–1 · 26 | 0 · 74 |
| No · of household members | ||||||
| 1–2 (Ref.) | 1 | - | ||||
| 3–4 | 1 · 20 | 0 · 91–1 · 61 | 0 · 21 | - | - | - |
| 5+ | 1 · 19 | 0 · 91–1 · 59 | 0 · 22 | - | - | - |
| Wealth index of households | ||||||
| Poorest (Ref.) | 1 | 1 | ||||
| Poorer | 1 · 67 | 0 · 99–2 · 87 | 0 · 06 | 1 · 55 | 0 · 89–2 · 76 | 0 · 13 |
| Middle | 2 · 88 | 1 · 83–4 · 70 | <0 · 001 | 2 · 45 | 1 · 51–4 · 15 | <0 · 001 |
| Richer | 4 · 59 | 3 · 04–7 · 23 | <0 · 001 | 3 · 32 | 2 · 11–5.49 | <0 · 001 |
| Richest | 11 · 48 | 7 · 72–17 · 92 | <0 · 001 | 6.36 | 4.02–10 · 55 | <0 · 001 |
| Food-security status of households | ||||||
| Food insecure (Ref.) | 1 | 1 | ||||
| Food secure | 2 · 22 | 1.92–2 · 59 | <0 · 001 | 1 · 25 | 1 · 05–1 · 49 | <0 · 01 |
| Patterns of contraceptive use | ||||||
| Never users (Ref.) | 1 | - | ||||
| Current users | 1 · 11 | 0 · 94–1 · 32 | 0 · 21 | - | - | - |
| Past users | 1 · 12 | 0 · 93–1 · 35 | 0 · 25 | - | - | - |
| Menopausal status of women | ||||||
| Not in menopause (Ref.) | 1 | - | ||||
| In menopause | 0 · 91 | 0 · 80–1 · 03 | 0 · 15 | - | - | - |
| Number of living children | ||||||
| 0 (Ref.) | 1 | - | ||||
| 1-2 | 1 · 49 | 1 · 20–1 · 87 | <0 · 001 | - | - | - |
| 3-4 | 1 · 59 | 1 · 27–2 · 01 | <0 · 001 | – | - | - |
| 5+ | 1 · 30 | 0 · 95–1 · 76 | 0 · 09 | - | - | - |
| Current marital status | ||||||
| Married and living with husband (Ref.) | 1 | - | ||||
| Widowed/divorced/separated | 0 · 79 | 0 · 62–0 · 99 | 0 · 05 | - | - | - |
| Educational status of women | ||||||
| No education (Ref.) | 1 | 1 | ||||
| Primary | 1 · 16 | 0 · 96–1 · 40 | 0 · 13 | 1 · 20 | 0 · 97–1 · 47 | 0 · 09 |
| Secondary | 1 · 87 | 1 · 58–2 · 21 | <0 · 001 | 1 · 50 | 1 · 23–1 · 84 | <0 · 001 |
| Higher | 2 · 93 | 2 · 41–3 · 57 | <0 · 001 | 1 · 60 | 1 · 26–2.03 | <0 · 001 |
| Age (years) of women | ||||||
| 18–22 (Ref.) | 1 | 1 | ||||
| 23–27 | 2 · 15 | 1 · 72–2 · 70 | <0 · 001 | 2 · 12 | 1 · 69–2 · 68 | <0 · 001 |
| 28–32 | 3 · 11 | 2 · 49–3 · 89 | <0 · 001 | 2 · 97 | 2 · 35–3 · 76 | <0 · 001 |
| 33–37 | 3 · 75 | 2 · 98–4 · 74 | <0 · 001 | 3 · 70 | 2 · 90–4 · 74 | <0 · 001 |
| 38–42 | 4 · 09 | 3 · 25–5 · 16 | <0 · 001 | 4 · 56 | 3 · 57–5 · 86 | <0 · 001 |
| 43+ | 3 · 66 | 2 · 92–4 · 61 | <0 · 001 | 4.06 | 3.18–5.21 | <0 · 001 |
| Age (years) of women at first birth | ||||||
| <=13 (Ref.) | 1 | - | ||||
| 13–17 | 1 · 15 | 0 · 82–1 · 65 | 0 · 42 | - | - | - |
| 18–22 | 1 · 40 | 0 · 99–2 · 00 | 0 · 06 | - | - | - |
| > = 23 | 2 · 25 | 1 · 56–3 · 29 | <0 · 001 | - | - | - |
| Watching TV at least once a week | ||||||
| No | 1 | 1 | ||||
| Yes | 3.01 | 2 · 58–3.53 | <0 · 001 | 1 · 49 | 1 · 24–1 · 80 | <0 · 001 |
| Occupation status of women | ||||||
| Jobs that required manual labor (Ref.) | 1 | 1 | ||||
| Jobs that required mostly sitting | 2 · 33 | 1 · 75–3 · 08 | <0 · 001 | 1 · 33 | 0 · 97–1 · 82 | 0 · 08 |
| Unemployed/Housewife | 1 · 85 | 1 · 55–2 · 23 | <0 · 001 | 1 · 44 | 1 · 18–1 · 76 | <0 · 001 |
Ref.: Reference category