Social class, family, and life-style factors associated with overweight and obesity among adults in Peruvian cities
Social class, family, and life-style factors associated with overweight and obesity among adults in Peruvian cities
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DOI：
10.1016/s0091-7435(03)00159-2
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发表时间：
2003-11-01
影响因子：
5.1
通讯作者：
López, T
中科院分区：
文献类型：
--
作者：
Jacoby, E;Goldstein, J;López, T
背景。超重和肥胖在拉丁美洲已达到流行病的程度。 目的。本研究的目的是探讨秘鲁城市与肥胖相关的社会和行为因素。设计。 1998年至2000年间，对六个城市的1176个家庭的成年人进行了健康检查调查。按社会阶层分层，采用多阶段随机抽样。采用体重指数（体重（kg）/身高（M）（2）），将男性和女性分为正常体重（BMI < 25）、超重（BMI 25-29）或肥胖（BMI大于或等于30）；腹围（男性大于或等于94厘米，女性大于或等于84厘米）进一步确定了发病风险。按照标准化程序收集了一些人口统计、社会和行为变量。结果。调整年龄后，37% 的女性体重正常，40% 超重，23% 肥胖；男性的相应数字分别为 40%、44% 和 16%。较发达的城市，例如利马、阿雷基帕和伊卡，男性和女性的超重和肥胖患病率最高。调整后的logistic模型显示，BMI大于或等于25与年龄呈正相关；然而，教育程度呈负相关，仅在女性中如此。超重的其他重要相关因素包括居住城市、女性每天看电视 4 小时以及低估体重状况。结论。研究显示，不同收入水平的超重率均有所上升。城市发展阶段、收入、教育和性别等因素与超重风险存在差异关系，在设计未来的公共卫生干预措施时必须予以考虑。低估体重状况和久坐行为也可能构成特定的干预领域。 (C) 2003 美国健康基金会和 Elsevier Inc. 保留所有权利。
Background. Overweight and obesity have reached epidemic proportions in Latin America.Objective. The purpose of this study was to explore social and behavioral factors associated with obesity in Peruvian cities.Design. Between 1998 and 2000 health examination surveys were conducted among adults in 1176 families identified in six cities. Stratified by social class, multistaged random sampling was used. Using body mass index (weight (kg)/height (M)(2)), men and women were classified into normal weight (BMI < 25), overweight (BMI 25-29), or obese (BMI greater than or equal to 30); abdominal circumference (greater than or equal to 94 cm in men and 84 cm in women) further identified morbidity risk. Several demographic, social, and behavioral variables were collected following standardized procedures.Results. Adjusting for age, 37% of women were categorized as normal weight, 40% overweight, and 23% obese; corresponding figures for men were 40, 44, and 16%. More developed cities, e.g., Lima, Arequipa, and Ica, had the largest prevalence of overweight and obesity for both men and women. Adjusted logistic models showed that BMI greater than or equal to 25 was positively correlated with age; whereas, education was negatively associated, only among women. Other significant associated factors of overweight included city of residence, television viewing :4 h daily in women, and underestimation of body weight status.Conclusions. The study showed elevated rates of overweight across the income level spectrum. Factors such as urban development stage, income, education, and gender posed differential relationships with the risk of overweight and must be considered in designing future public health interventions. Underestimation of body weight status and sedentary behavior may also constitute specific areas of intervention. (C) 2003 American Health Foundation and Elsevier Inc. All rights reserved.