UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.
Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, P.O. Box 7057, Amsterdam 1007MB, The Netherlands.
Int J Environ Res Public Health. 2017 Oct 25;14(11):1290. doi: 10.3390/ijerph14111290.
U.S. policy initiatives have sought to improve health through attracting neighborhood supermarket investment. Little evidence exists to suggest that these policies will be effective, in particular where there are socioeconomic barriers to healthy eating. We measured the independent associations and combined interplay of supermarket access and socioeconomic status with obesity. Using data on 9702 UK adults, we employed adjusted regression analyses to estimate measured BMI (kg/m²), overweight (25 ≥ BMI < 30) and obesity (≥30), across participants' highest educational attainment (three groups) and tertiles of street network distance (km) from home location to nearest supermarket. Jointly-classified models estimated combined associations of education and supermarket distance, and relative excess risk due to interaction (RERI). Participants farthest away from their nearest supermarket had higher odds of obesity (OR 1.33, 95% CI: 1.11, 1.58), relative to those living closest. Lower education was also associated with higher odds of obesity. Those least-educated and living farthest away had 3.39 (2.46-4.65) times the odds of being obese, compared to those highest-educated and living closest, with an excess obesity risk (RERI = 0.09); results were similar for overweight. Our results suggest that public health can be improved through planning better access to supermarkets, in combination with interventions to address socioeconomic barriers.
美国的政策举措旨在通过吸引社区超市投资来改善健康状况。几乎没有证据表明这些政策将是有效的,特别是在存在健康饮食的社会经济障碍的情况下。我们衡量了超市可达性和社会经济地位与肥胖之间的独立关联及其综合相互作用。使用英国 9702 名成年人的数据,我们采用调整后的回归分析来估计参与者最高教育程度(三组)和离家位置到最近超市的街道网络距离(公里)三分位数之间的测量体重指数(kg/m²)、超重(25 ≥ BMI < 30)和肥胖(≥30)。联合分类模型估计了教育和超市距离的综合关联以及交互的相对超额风险(RERI)。离最近超市最远的参与者肥胖的几率更高(OR 1.33,95%CI:1.11,1.58),而离家最近的参与者则较低。较低的教育程度也与肥胖几率较高相关。受教育程度最低且居住距离最远的人肥胖的几率是受教育程度最高且居住距离最近的人的 3.39 倍(2.46-4.65),而且肥胖的风险更高(RERI = 0.09);超重的结果也类似。我们的研究结果表明,通过规划更好地获得超市,结合解决社会经济障碍的干预措施,可以改善公共卫生。