School of Public Health, University of Alberta, 3-300 ECHA, 11405 87 Avenue, Edmonton, AB T6G 1C9, Canada.
MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 209 Victoria St, Toronto, ON M5B 1T8, Canada.
Int J Environ Res Public Health. 2022 Jun 25;19(13):7800. doi: 10.3390/ijerph19137800.
Capturing socioeconomic inequalities in relation to chronic disease is challenging since socioeconomic status (SES) encompasses many aspects. We constructed a comprehensive individual-level SES index based on a broad set of social and demographic indicators (gender, education, income adequacy, occupational prestige, employment status) and examined its relationship with smoking, a leading chronic disease risk factor. Analyses were based on baseline data from 17,371 participants of Alberta’s Tomorrow Project (ATP), a prospective cohort of adults aged 35−69 years with no prior personal history of cancer. To construct the SES index, we used principal component analysis (PCA) and to illustrate its utility, we examined the association with smoking intensity and smoking history using multiple regression models, adjusted for age and gender. Two components were retained from PCA, which explained 61% of the variation. The SES index was best aligned with educational attainment and occupational prestige, and to a lesser extent, with income adequacy. In the multiple regression analysis, the SES index was negatively associated with smoking intensity (p < 0.001). Study findings highlight the potential of using individual-level SES indices constructed from a broad set of social and demographic indicators in epidemiological research.
捕捉与慢性病相关的社会经济不平等是具有挑战性的,因为社会经济地位(SES)包含许多方面。我们基于广泛的社会和人口指标(性别、教育、收入充足度、职业声望、就业状况)构建了一个综合的个体 SES 指数,并研究了其与吸烟的关系,吸烟是主要的慢性病危险因素之一。分析基于艾伯塔省明天计划(ATP)的 17371 名参与者的基线数据,ATP 是一个 35-69 岁成年人的前瞻性队列,他们没有癌症的个人既往病史。为了构建 SES 指数,我们使用主成分分析(PCA),为了说明其效用,我们使用多元回归模型检查了与吸烟强度和吸烟史的关系,调整了年龄和性别。PCA 保留了两个分量,解释了 61%的变异。SES 指数与教育程度和职业声望最吻合,其次与收入充足度也有一定的吻合度。在多元回归分析中,SES 指数与吸烟强度呈负相关(p<0.001)。研究结果强调了在流行病学研究中使用基于广泛社会和人口指标构建的个体 SES 指数的潜力。