Departments of Society, Human Development, and Health, Harvard School of Public Health, Boston, MA 02115, USA.
Am J Clin Nutr. 2013 Feb;97(2):428-36. doi: 10.3945/ajcn.112.045997. Epub 2013 Jan 2.
Urbanization is often cited as a main cause of increasing BMIs in low- and middle-income countries (LMICs), and urban residents in LMICs tend to have higher BMIs than do rural residents. However, urban-rural differences may be driven by differences in socioeconomic status (SES).
Using nationally representative data collected at 2 time points in 38 LMICs, we assessed the association between urban residence and BMI before and after adjustment for measures of individual- and household-level SES.
We conducted a cross-sectional analysis of nationally representative samples of 678,471 nonpregnant women aged 15-49 y, with 225,312 women in the earlier round of surveys conducted between 1991 and 2004 and 453,159 women in the later round conducted between 1998 and 2010. We used linear and ordered multinomial analysis with a country fixed effect to obtain a pooled estimate and a country-stratified analysis.
We found that mean BMI (kg/m²) in less-developed countries was generally higher within urban areas (excess BMI associated with urban residence before wealth index adjustment: 1.55; 95% CI: 1.52, 1.57). However, the urban association was attenuated after SES was accounted for (association after adjustment: 0.44; 95% CI: 0.41, 0.47). Individual- and household-level SES measures were independently and positively associated with BMI.
The association between urban residence and obesity in LMICs is driven largely by higher individual- and community-level SES in urban areas, which suggests that urban residence alone may not cause increased body weight in developing countries.
城市化通常被认为是低收入和中等收入国家(LMICs)BMI 增加的主要原因,而 LMICs 的城市居民的 BMI 往往高于农村居民。然而,城乡差异可能是由社会经济地位(SES)的差异驱动的。
利用在 38 个 LMICs 中两次收集的具有代表性的数据,我们评估了城市居住与 BMI 之间的关联,在调整个体和家庭层面 SES 措施前后。
我们对来自 678471 名 15-49 岁非孕妇的全国代表性样本进行了横断面分析,其中 225312 名女性参加了 1991 年至 2004 年期间进行的早期调查,453159 名女性参加了 1998 年至 2010 年期间进行的后期调查。我们使用具有国家固定效应的线性和有序多项分析来获得汇总估计和国家分层分析。
我们发现,欠发达国家的城市地区的平均 BMI(kg/m²)普遍较高(在财富指数调整之前,与城市居住相关的 BMI 高出 1.55;95%CI:1.52,1.57)。然而,在 SES 得到解释后,城市关联减弱(调整后的关联:0.44;95%CI:0.41,0.47)。个体和家庭层面 SES 措施与 BMI 独立且呈正相关。
在 LMICs 中,城市居住与肥胖之间的关联主要是由城市地区较高的个体和社区 SES 驱动的,这表明城市居住本身在发展中国家可能不会导致体重增加。