Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context.
Neighbourhood environments and obesity among adults: A multilevel analysis of an urban Brazilian context.
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DOI：
10.1016/j.pmedr.2015.04.019
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发表时间：
2015
影响因子：
2.8
通讯作者：
Velasquez-Melendez G
中科院分区：
文献类型：
--
作者：
Matozinhos FP;Gomes CS;Andrade AC;Mendes LL;Pessoa MC;Friche AA;Velasquez-Melendez G
目标。这项研究确定了与巴西某城市成年人口肥胖相关的环境变量。方法：研究方法。2008年至2010年，使用慢性病风险和防护因素电话调查监测系统进行了这项调查。体重指数(BMI)是根据参与者自我报告的体重和身高计算出来的。肥胖被定义为≥为30千克/平方米的体重指数。食肆、有利于体力活动的地理参考区、邻里总收入、凶杀率和人口密度被用来描述环境。此外，还考虑了个体变量。进行多水平Logistic回归分析。结果。共有5273人接受了评估。研究发现，在不同的模式下，随着出售健康食品的机构数量、餐厅数量、体力活动场所数量和总收入的增加，肥胖的几率显著降低。此外，在对年龄、性别、教育程度和食用可见脂肪的肉类进行调整后，这些相关性仍然显著。结论。这项研究有助于更好地理解肥胖症的环境和个人决定因素之间的复杂相互作用，并可能有助于制定有效的干预措施，如扩大肥胖症控制方案。我们估计了环境和个人因素与肥胖的关联。肥胖的可能性随着环境因素的增加而降低。肥胖的环境决定因素之间存在复杂的相互作用。我们的发现为制定有效的战略提供了理由。
Objective. This study identified environmental variables associated with obesity in the adult population of a city in Brazil. Methods. It was conducted using the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey from 2008 to 2010. The body mass index (BMI) was calculated from the participants' self-reported weight and height. Obesity was defined as a BMI ≥ 30 kg/m2. The food establishments, georeferenced areas conducive to physical activity, total income of the neighbourhood, homicide rate and population density were used to characterise the environment. In addition, individual variables were considered. A multilevel logistic regression was performed. Results. A total of 5273 individuals were evaluated. The odds of obesity was found to be significantly decreased with increases in the number of establishments that sell healthy food, number of restaurants, number of places for physical activity and total income — in different models. In addition, these associations remained significant after adjustment for age, gender, education and consumption of meat with visible fat. Conclusions. This study contributes to a better understanding of the complex interaction between environmental and individual determinants of obesity and may aid in the development of effective interventions, such as the expansion of obesity control programmes. We estimated the association of environmental and individual factors with obesity. The likelihood of obesity decreased with increases of environmental factors. There is a complex interaction between environmental determinants of obesity. Our findings provide justification for the development of effective strategies.