Hirko Kelly A, Lajous Martin, Ortiz-Panozo Eduardo, Lopez-Ridaura Ruy, Christine Paul J, Lȇ-Scherban Felice, Rice Megan S, Barrientos-Gutierrez Tonatiuh
Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, Traverse City, Michigan, USA.
Center for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico.
J Epidemiol Community Health. 2017 Aug 9. doi: 10.1136/jech-2017-209179.
Occupation is often used as an indicator of socioeconomic position (SEP) in epidemiological studies, although it is unclear whether variation in SEP within a single occupational group is associated with health outcomes, including adiposity measures.
We created a multidimensional SEP index using principal component analysis based on self-reported data from 36 704 female teachers in Mexico from 2008 to 2011. Multivariable Poisson regression models with robust variance were used to evaluate cross-sectional associations of SEP and markers of adiposity, including obesity (body mass index (BMI) ≥30 kg/m), elevated waist-to-hip ratio (WHR >85) and high waist circumference (WC >88 cm).
The most relevant indicators of SEP in this study were internet access and private health insurance. We observed significant inverse trends in obesity, WHR and WC in relation to SEP (all p<0.001). Compared with women with low SEP, women in the middle (prevalence ratio (PR) 0.97, 95% CI 0.93 to 1.02) and high (PR 0.85, 95% CI 0.81 to 0.90) SEP tertiles were less likely to be obese in multivariable models. Results were similar in models of WHR and WC adjusting for BMI. For example, women with high versus low SEP were 14% less likely to have an elevated WHR (PR 0.86, 95% CI 0.83 to 0.89) and 7% less likely to have a high WC (PR 0.93, 95% CI 0.89 to 0.97).
Our findings suggest that SEP remains relevant for adiposity within a single occupational setting and indicate that a stronger conceptualisation of SEP in epidemiological studies may be warranted.
在流行病学研究中,职业常被用作社会经济地位(SEP)的指标,不过尚不清楚单一职业群体内部的SEP差异是否与包括肥胖指标在内的健康结果相关。
我们基于2008年至2011年墨西哥36704名女教师的自我报告数据,采用主成分分析创建了一个多维SEP指数。使用具有稳健方差的多变量泊松回归模型来评估SEP与肥胖指标之间的横断面关联,这些指标包括肥胖(体重指数(BMI)≥30kg/m²)、腰臀比升高(WHR>0.85)和腰围增大(WC>88cm)。
本研究中SEP最相关的指标是互联网接入和私人医疗保险。我们观察到肥胖、WHR和WC与SEP之间存在显著的反向趋势(所有p<0.001)。在多变量模型中,与SEP低的女性相比,SEP处于中等(患病率比(PR)0.97,95%CI 0.93至1.02)和高(PR 0.85,95%CI 0.81至0.90)三分位数的女性肥胖的可能性较小。在调整BMI的WHR和WC模型中结果相似。例如,SEP高与低的女性WHR升高的可能性低14%(PR 0.86,95%CI 0.83至0.89),WC增大的可能性低7%(PR 0.93,95%CI 0.89至0.97)。
我们的研究结果表明,在单一职业环境中,SEP与肥胖仍然相关,并表明在流行病学研究中可能需要对SEP进行更深入的概念化。
需注意,原文中“≥30 kg/m”表述有误,应为“≥30kg/m²”,译文已修正。