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Social Patterning of Chronic Disease Risk Factors in a Latin American City

机译:拉丁美洲城市慢性病危险因素的社会形态

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摘要

Most studies of socioeconomic status (SES) and chronic disease risk factors have been conducted in high-income countries, and most show inverse social gradients. Few studies examine these patterns in lower- or middle-income countries. Using cross-sectional data from a 2005 national risk factor survey in Argentina (a middle-income country), we investigated the associations of individual- and area-level SES with chronic disease risk factors (body mass index [BMI], hypertension, and diabetes) among residents of Buenos Aires. Associations of risk factors with income and education were estimated after adjusting for age, sex (except in sex-stratified models), and the other socioeconomic indicators. BMI and obesity were inversely associated with education and income for women, but not for men (e.g., mean differences in BMI for lowest versus highest education level were 1.55 kg/m2, 95%CI = 0.72–2.37 in women and 0.17 kg/m2, 95%CI = −0.72–1.06 in men). Low education and income were also associated with increased odds of hypertension diagnosis in all adults (adjusted odds ratio [AOR] = 1.48, 95%CI = 0.99–2.20 and AOR = 1.50, 95%CI = 0.99–2.26 for the lowest compared to the highest education and income categories, respectively). Lower education was strongly associated with increased odds of diabetes diagnosis (AOR = 4.12, 95%CI = 1.85–9.18 and AOR = 2.43, 95%CI = 1.14–5.20 for the lowest and middle education categories compared to highest, respectively). Area-level education also showed an inverse relationship with BMI and obesity; these results did not vary by sex as they did at the individual level. This cross-sectional study of a major urban area provides some insight into the global transition with a trend toward concentrations of risk factors in poorer populations.
机译:大多数社会经济状况(SES)和慢性病危险因素的研究都是在高收入国家进行的,大多数研究显示出反向的社会梯度。很少有研究在中低收入国家检查这些模式。使用2005年阿根廷(一个中等收入国家)国家危险因素调查的横截面数据,我们调查了个体和区域一级SES与慢性病危险因素(体重指数[BMI],高血压和糖尿病)在布宜诺斯艾利斯的居民中。在调整了年龄,性别(按性别分层的模型除外)和其他社会经济指标后,估计了风险因素与收入和教育的关联。女性的BMI和肥胖与教育和收入成反比,而男性则与BMI无关(例如,最低和最高教育水平的BMI平均差异为1.55 kg / m 2 ,95%CI = 0.72–女性为2.37,而女性为0.17 kg / m 2 ,男性为95%CI = -0.72-1.06。较低的教育程度和收入也与所有成年人中高血压诊断几率的增加相关(最低比最高的教育和收入类别)。较低的教育水平与糖尿病诊断几率的增加密切相关(最低和中等教育类别与最高教育类别相比,AOR = 4.12,95%CI = 1.85-9.18,AOR = 2.43,95%CI = 1.14-5.20)。区域教育也显示出与BMI和肥胖症成反比关系。这些结果在性别上并没有像在个体水平上那样有所不同。这项针对主要城市地区的横断面研究为全球转型提供了一些见识,并向贫困人口中的危险因素集中趋势发展。

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