Skip to main content

Table 1 Frequency and percentage distribution of overweight or obesity of Bangladeshi women and other selected variables

From: Determinants of overweight or obesity among ever-married adult women in Bangladesh

  Urban Rural
Variables with categories n % 95 % CI n % 95%CI
Overweight or obesity status of women       
 BMI < 25 (Not overweight or obese) 4083 24 · 75 24 · 09–25 · 41 9376 56 · 85 56 · 08–57 · 60
 BMI ≥ 25 & BMI < 30 (Overweight) 360 2 · 18 1 · 96–2 · 41 188 1 · 14 0 · 98–1 · 31
 BMI ≥ 30 (Obese) 1318 7 · 99 7 · 57–8 · 41 1168 7 · 08 6 · 68–7 · 48
Age (years) of women       
 18–22 1020 6 · 18 5 · 81–6 · 56 2069 12 · 55 12 · 03–13 · 06
 23–27 1194 7 · 24 6 · 84–7 · 64 2251 13 · 65 13 · 11–14 · 18
 28–32 1042 6 · 32 5 · 94–6 · 70 1861 11 · 28 10 · 79–11 · 78
 33–37 804 4 · 88 4 · 55–5 · 21 1530 9 · 28 8 · 83–9 · 73
 38–42 814 4 · 94 4 · 60–5 · 27 1451 8 · 80 8 · 36–9 · 24
 43+ 887 5 · 38 5 · 03–5 · 73 1570 9 · 52 9 · 06–9 · 98
Current marital status       
 Married and living with husband 5365 32 · 53 31 · 80–33 · 24 10060 60 · 99 60 · 24–61 · 74
 Widowed/divorced/separated 396 2 · 40 2 · 16–2 · 64 672 4 · 07 3 · 77–4 · 38
Division       
 Barisal 611 3 · 71 3 · 41–3 · 99 1252 7 · 59 7 · 18–8 · 00
 Chittagong 982 5 · 95 5 · 59–6 · 32 1694 10 · 27 9 · 80–10.74
 Dhaka 1235 7 · 49 7 · 08–7 · 90 1592 9 · 65 9 · 19–10 · 11
 Khulna 857 5 · 20 4 · 85–5 · 42 1613 9 · 78 9 · 32–10 · 24
 Rajshahi 800 4 · 85 4 · 52–5 · 19 1584 9 · 60 9 · 15–10 · 06
 Rangpur 656 3 · 98 3 · 67–4 · 28 1645 9 · 97 9 · 51–10 · 44
 Sylhet 620 3 · 76 3 · 46–4 · 06 1352 8 · 20 7 · 77–8 · 63
No · of household members       
 1–2 276 1 · 67 1 · 47–1 · 87 450 2 · 73 2 · 48–2 · 98
 3–4 2143 12 · 99 12 · 47–13 · 52 3648 22 · 12 21 · 49–22 · 75
 5+ 3342 20 · 26 19 · 64–20 · 89 6634 40 · 22 39 · 46–40 · 97
Wealth index of households       
 Poorest 411 2 · 49 2 · 25–2 · 74 2456 14 · 89 14 · 34–15 · 43
 Poorer 405 2 · 46 2 · 22–2 · 70 2629 15 · 94 15 · 37–16 · 51
 Middle 600 3 · 64 3 · 35–3 · 93 2527 15 · 32 14 · 76–15 · 88
 Richer 1450 8 · 79 8 · 35–9 · 23 2058 12 · 48 11 · 96–12 · 99
 Richest 2895 17 · 55 16 · 96–18 · 13 1062 6 · 44 6 · 06–6 · 82
Food-security status of households       
 Food insecure 1500 9.09 8.66– 9.53 4207 25.51 24.84–26.17
 Food secure 4261 25.84 25.17–26.50 6525 39.56 38.82–40.31
Patterns of contraceptive use       
 Never users 851 5 · 16 4 · 82–5 · 50 1991 12 · 07 11 · 56–12 · 58
 Current users 3473 21 · 06 20 · 44–21 · 69 6159 37 · 34 36 · 59–38 · 08
 Past users 1437 8 · 71 8 · 27–9 · 15 2582 15 · 66 15 · 09–16 · 22
Menopausal status of women       
 Not in menopause 4142 25 · 11 24 · 44–25 · 78 7307 44 · 30 43 · 55–45 · 06
 In menopause 1619 9 · 82 9 · 35–10 · 28 3425 20 · 77 20 · 14–21 · 40
Number of living children       
 0 532 3 · 23 2 · 95–3 · 50 789 4 · 78 4 · 45–5 · 12
 1–2 3218 19 · 51 18 · 91–20 · 13 5199 31 · 52 30 · 80–32 · 23
 3–4 1634 9 · 91 9 · 44–10 · 37 3542 21 · 48 2084–22 · 10
 5+ 377 2 · 29 2 · 05–2 · 52 1202 7 · 29 6 · 88–7 · 69
Educational status of women       
 No education 1146 6 · 95 6 · 55–7 · 34 3311 20 · 08 19 · 45–20 · 70
 Primary 1503 9 · 11 8 · 67–9 · 56 3436 20 · 83 20 · 20–21 · 45
 Secondary 2241 13 · 59 13 · 05–14 · 12 3506 21 · 26 20 · 62–21 · 88
 Higher 871 5 · 28 4 · 93–5 · 63 479 2 · 90 2 · 64–3 · 17
Age (years) of women at first birth       
 <=13 190 1 · 15 0 · 99–1 · 32 365 2 · 21 1 · 98–2 · 44
 13–17 2264 13 · 73 13 · 19–14 · 26 5021 30 · 44 29 · 73–31 · 16
 18–22 2648 16 · 06 15 · 50–16 · 63 4650 28 · 19 27 · 51–28 · 89
 > = 23 659 3 · 99 3 · 69–4 · 30 696 4 · 22 3 · 91–4 · 53
Watching TV at least once a week       
 No 1507 9.14 8.70– 9.58 6783 41.13 40.38–41.88
 Yes 4254 25.79 25.13–26.46 3949 23.94 23.29–24.59
Occupation of women       
 Jobs that required manual labor 846 5 · 13 4 · 79–5 · 47 889 5 · 39 5 · 04–5 · 74
 Jobs that required mostly sitting 335 2 · 03 1 · 81–2 · 25 438 2 · 66 2 · 41–2 · 91
 Unemployed/housewives 4580 27 · 77 27 · 09–28 · 45 9405 57 · 02 56 · 27–57 · 78