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Table 3 Odds ratio of logistic regression assessing the impacts of selected variables on overweight or obesity of urban women in Bangladesh

From: Determinants of overweight or obesity among ever-married adult 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
  1. Ref.: Reference category