打算怀孕的坦桑尼亚育龄妇女中超重和肥胖的流行率日益上升:2004-2016年三次人口健康调查的证据

Amani I Kikula, Aline Semaan, Belinda Balandya, Naku K Makoko, Andrea B Pembe, José L Peñalvo, Lenka Beňová
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We estimated the prevalence of high BMI (being overweight [≥25 to <30 kg/m 2 ] and obesity [≥30kg/m 2 ) and trends in the prevalence of high BMI across the three surveys. Using survey-weighted multivariable logistic regression, we used the most recent 2015/16 survey data to identify factors associated with high BMI. Results Median BMI increased from 21.7kg/m 2 (inter-quartile range, IQR=19.9-24.1 kg/m 2 ) in 2004/5 to 22.0 kg/m 2 (IQR=20.0-24.8 kg/m 2 ) in 2010 to 22.7 kg/m 2 (IQR=20.4-26.0 kg/m 2 ) in 2015/16. The prevalence of overweight women increased from 11.1% in 2004/5 to 15.8% in 2015 (P <0.001). The prevalence of obesity increased from 3.1% in 2004/5 to 8.0% in 2015/16 (P<0.001). Women in the highest wealth quintile had higher odds (adjusted odds ratio, aOR= 4.5; 95%CI 3.4-6.3, P<0.001) of high BMI than women in the lowest quintile. The odds of high BMI were about four times greater (aOR=3.9; 95%CI=2.9-5.4, P<0.001) for women 40-44 years compared to 20–24-year-olds. Women in the high-paying occupations had greater odds of high BMI than those working in agriculture (aOR=1.5; 95% CI=1.1-2.2, P=0.002). Women residing in the Southern zone had 1.9 (95%CI=1.5-2.5, P<0.001) greater odds of high BMI than Lake zone residents. Conclusions In Tanzania, high BMI affects almost 1 in 4 women of reproductive age who intend to conceive. This contributes to the burden of poor maternal and reproductive health outcomes. 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引用次数: 0

摘要

超重或肥胖人群的患病率在全球范围内呈上升趋势,尤其是在低收入和中等收入国家。育龄妇女的高身体质量指数(BMI)是各种不良生殖和妊娠结局的危险因素。本研究旨在描述2004/5至2015/16年期间坦桑尼亚育龄妇女的BMI分布趋势,并确定与高BMI相关的因素。方法采用2004/5年、2010年和2015/16年坦桑尼亚人口与健康调查的20,819名育龄妇女(15-49岁)的资料。我们估计了三次调查中高BMI(超重[≥25至30kg/ m2]和肥胖[≥30kg/ m2])的患病率以及高BMI患病率的趋势。使用调查加权多变量逻辑回归,我们使用最新的2015/16调查数据来确定与高BMI相关的因素。结果BMI中位数由2004/5年度的21.7kg/ m2(四分位间IQR=19.9 ~ 24.1 kg/ m2)上升至2010年度的22.0 kg/ m2 (IQR=20.0 ~ 24.8 kg/ m2), 2015/16年度的22.7 kg/ m2 (IQR=20.4 ~ 26.0 kg/ m2)。超重女性患病率从2004/ 2005年的11.1%上升到2015年的15.8% (P <0.001)。肥胖患病率从2004/5年度的3.1%上升至2015/16年度的8.0% (P<0.001)。最高财富五分之一的女性有更高的几率(调整后的优势比,aOR= 4.5;95%CI 3.4-6.3, P<0.001)高BMI的女性比最低五分位数的女性多。高BMI的几率大约是四倍(aOR=3.9;95%CI=2.9-5.4, P<0.001), 40-44岁的女性与20 - 24岁的女性相比。从事高收入职业的女性比从事农业的女性有更高的BMI (aOR=1.5;95% ci =1.1-2.2, p =0.002)。居住在南区的妇女比湖区居民高BMI的几率高1.9 (95%CI=1.5-2.5, P<0.001)。在坦桑尼亚,高BMI影响了几乎四分之一打算怀孕的育龄妇女。这加剧了孕产妇健康和生殖健康结果不佳的负担。我们建议针对育龄妇女确定的可改变的危险因素,制定和实施针对高BMI的卫生系统战略。
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Increasing prevalence of overweight and obesity among Tanzanian women of reproductive age intending to conceive: evidence from three Demographic Health Surveys, 2004-2016
Background The prevalence of people who are overweight or obese is increasing globally, especially in low- and middle-income countries. High body mass index (BMI) among women of reproductive age is a risk factor for various adverse reproductive and pregnancy outcomes. This study aims to describe trends over time in the distribution of BMI among Tanzanian women of reproductive age intending to conceive between 2004/5 and 2015/16, and identify factors associated with high BMI. Methods We used data on 20,819 women of reproductive age (15-49 years) intending to conceive who participated in the Tanzania Demographic and Health Surveys in 2004/5, 2010 and 2015/16. We estimated the prevalence of high BMI (being overweight [≥25 to <30 kg/m 2 ] and obesity [≥30kg/m 2 ) and trends in the prevalence of high BMI across the three surveys. Using survey-weighted multivariable logistic regression, we used the most recent 2015/16 survey data to identify factors associated with high BMI. Results Median BMI increased from 21.7kg/m 2 (inter-quartile range, IQR=19.9-24.1 kg/m 2 ) in 2004/5 to 22.0 kg/m 2 (IQR=20.0-24.8 kg/m 2 ) in 2010 to 22.7 kg/m 2 (IQR=20.4-26.0 kg/m 2 ) in 2015/16. The prevalence of overweight women increased from 11.1% in 2004/5 to 15.8% in 2015 (P <0.001). The prevalence of obesity increased from 3.1% in 2004/5 to 8.0% in 2015/16 (P<0.001). Women in the highest wealth quintile had higher odds (adjusted odds ratio, aOR= 4.5; 95%CI 3.4-6.3, P<0.001) of high BMI than women in the lowest quintile. The odds of high BMI were about four times greater (aOR=3.9; 95%CI=2.9-5.4, P<0.001) for women 40-44 years compared to 20–24-year-olds. Women in the high-paying occupations had greater odds of high BMI than those working in agriculture (aOR=1.5; 95% CI=1.1-2.2, P=0.002). Women residing in the Southern zone had 1.9 (95%CI=1.5-2.5, P<0.001) greater odds of high BMI than Lake zone residents. Conclusions In Tanzania, high BMI affects almost 1 in 4 women of reproductive age who intend to conceive. This contributes to the burden of poor maternal and reproductive health outcomes. We recommend developing and implementing health-system strategies for addressing high BMI, tailored to the modifiable risk factors identified among women of reproductive age.
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