与超重和肥胖相关的人口和社会决定因素之间的不平等分析。

IF 2
Pabyle Alves Flauzino, Ilana Nogueira Bezerra, Julia Sichieri Moura, Rosely Sichieri
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引用次数: 0

摘要

目的:从人口调查中评估与超重和肥胖患病率相关的人口统计学和社会决定因素。方法:对28153名参与2017-2018年家庭预算调查的成年人进行横断面研究。除了年龄(连续)、性别(男性/女性)、肤色或种族(白色、棕色和黑色)、居住地(城市或农村)和人均家庭收入(四分位数)等社会人口学特征信息外,还使用自我报告的体重和身高来估计超重和肥胖的患病率。使用线性回归模型评估每个地区(城市/农村)按年龄和收入,按性别和种族/肤色分层的平均BMI变化。结果:在男性中,超重和肥胖在城市地区比农村地区更普遍,但在女性中没有这种差异。在女性中,收入与平均BMI呈二次相关,而在男性中,患病率随着收入的增加而增加。在女性中,高收入与较低的体重指数相关,但黑人女性除外,她们的收入没有变化,肥胖的患病率最高。农村地区的男性BMI指数要低得多,肥胖率也要低得多。结论:我们发现在超重和肥胖方面,极端不平等群体之间没有差异。然而,男性I级肥胖的患病率因地区而异,城市地区的男性较高;在收入最高的四分之一的黑人女性中,种族/肤色的肥胖率最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of inequities between demographic and social determinants associated with overweight and obesity.

Analysis of inequities between demographic and social determinants associated with overweight and obesity.

Analysis of inequities between demographic and social determinants associated with overweight and obesity.

Objective: To assess demographic and social determinants associated with the prevalence of overweight and obesity from a population survey.

Methods: Cross-sectional study with 28,153 adults participating in the 2017-2018 Household Budget Survey. Self-reported weight and height were used to estimate the prevalence of overweight and obesity, in addition to information on sociodemographic characteristics such as age (continuous), sex (male/female), skin color or race (white, brown, and black), location of residence (urban or rural), and per capita family income (quartile). Linear regression models were used to assess changes in mean BMI according to age and income in each area (urban/rural), stratified by sex and race/skin color.

Results: In men, overweight and obesity were more prevalent in urban than rural areas, but there was no such difference in women. Income was quadratically related to the mean BMI among women, while in men the prevalence increased with income. In women, higher income was associated with lower BMI, except for black women, who did not show variation with income and were the ones with the highest prevalence of obesity. Men in rural areas had a much lower BMI and, respectively, a lower prevalence of obesity.

Conclusion: We found no difference between extreme groups of possible inequality with regard to overweight and obesity. However, the prevalence of grade I obesity in men was different according to the area, being higher in men living in urban areas; and the highest prevalence of obesity according to race/color occurred among black women in the highest income quartile.

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