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城市生活与肥胖:它是否独立于其人口和生活方式特征?

Urban living and obesity: is it independent of its population and lifestyle characteristics?

作者信息

Arambepola Carukshi, Allender Steven, Ekanayake Ruvan, Fernando Dulitha

机构信息

Department of Community Medicine, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.

出版信息

Trop Med Int Health. 2008 Apr;13(4):448-57. doi: 10.1111/j.1365-3156.2008.02021.x. Epub 2008 Mar 10.

Abstract

OBJECTIVES

Living in an urban area influences obesity. However, little is known about whether this relationship is truly independent of, or merely mediated through, the demographic, socio-economic and lifestyle characteristics of urban populations. We aimed to identify and quantify the magnitude of this relationship in a Sri Lankan population.

METHODS

Cross-sectional study of adults aged 20-64 years representing the urban (n = 770) and rural (n = 630) populations, in the district of Colombo in 2004. Obesity was measured as a continuous variable using body mass index (BMI). Demographic, socio-economic and lifestyle factors were assessed. Gender-specific multivariable regression models were developed to quantify the independent effect of urban/ rural living and other variables on increased BMI.

RESULTS

The BMI (mean; 95% confidence interval) differed significantly between urban (men: 23.3; 22.8-23.8; women: 24.2; 23.7-24.7) and rural (men: 22.3; 21.9-22.7; women: 23.2; 22.7-23.7) sectors (P < 0.01). The observed association remained stable independently of all other variables in the regression models among both men (coefficient = 0.64) and women (coefficient = 0.95). These coefficients equated to 2.2 kg weight for the average man and 1.7 kg for the average woman. Other independent associations of BMI were with income (coefficient = 1.74), marital status (1.48), meal size (1.53) and religion (1.20) among men, and with age (0.87), marital status (2.25) and physical activity (0.96) among women.

CONCLUSIONS

Urban living is associated with obesity independently of most other demographic, socio-economic and lifestyle characteristics of the population. Targeting urban populations may be useful for consideration when developing strategies to reduce the prevalence of obesity.

摘要

目的

生活在城市地区会影响肥胖状况。然而,对于这种关系是真正独立于城市人口的人口统计学、社会经济和生活方式特征,还是仅仅通过这些特征介导的,我们了解甚少。我们旨在确定并量化斯里兰卡人群中这种关系的程度。

方法

2004年在科伦坡地区对年龄在20 - 64岁的成年人进行横断面研究,其中城市人群(n = 770),农村人群(n = 630)。肥胖程度用体重指数(BMI)作为连续变量进行测量。评估人口统计学、社会经济和生活方式因素。建立了按性别分类的多变量回归模型,以量化城乡居住及其他变量对BMI升高的独立影响。

结果

城市(男性:23.3;95%置信区间为22.8 - 23.8;女性:24.2;95%置信区间为23.7 - 24.7)和农村(男性:22.3;95%置信区间为21.9 - 22.7;女性:23.2;95%置信区间为22.7 - 23.7)地区的BMI(均值;95%置信区间)存在显著差异(P < 0.01)。在回归模型中,观察到的这种关联在男性(系数 = 0.64)和女性(系数 = 0.95)中独立于所有其他变量保持稳定。这些系数相当于平均男性体重增加2.2千克,平均女性体重增加1.7千克。男性中BMI的其他独立关联因素包括收入(系数 = 1.74)、婚姻状况(1.48)、餐量(1.53)和宗教信仰(1.20),女性中包括年龄(0.87)、婚姻状况(2.25)和身体活动(0.96)。

结论

城市生活与肥胖有关,独立于人群的大多数其他人口统计学、社会经济和生活方式特征。在制定降低肥胖患病率的策略时,考虑针对城市人群可能会有所帮助。

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