Pineda Elisa, Stockton Jemima, Mindell Jennifer S
The George Institute for Global Health UK, London, United Kingdom.
School of Public Health, Imperial College London, London, United Kingdom.
PLOS Glob Public Health. 2024 Oct 10;4(10):e0003819. doi: 10.1371/journal.pgph.0003819. eCollection 2024.
In Mexico, 75% of the population are affected by overweight or obesity, and the availability and affordability of high-calorie-dense foods and beverages are high. This study tested the association between the retail food environment index (RFEI), dietary patterns, body mass index (BMI), and socioeconomic position (SEP) in Mexico. Cross-sectional diet, health, and sociodemographic population-based secondary data analyses were conducted. The RFEI was calculated by dividing the total number of fast-food outlets and convenience stores by the total number of supermarkets and fruit and vegetable stores per census tract area. Associations between BMI, dietary patterns, SEP and the RFEI were tested using multilevel linear regression, including interactions of the RFEI with SEP, gender, and age. Living in neighbourhoods with a higher RFEI was associated with a 0.01kg/m2 higher BMI (β = 0.01, 95%CI: 0.0005, 0.02, p = 0.04), equivalent to a mean 0.046 weight gain for a 1.60m tall person per 10% higher RFEI. Unhealthy dietary patterns were more likely in neighbourhoods with a higher RFEI (β = 0.100, 95%CI: 0.03, 0.12, p = 0.001). Multilevel linear regression showed that lower SEP households had a higher RFEI compared to higher SEP households (β = 0.020, 95% CI: -0.006 to 0.04, p = 0.10). Generalised structural equation models revealed a graded relationship between RFEI and SEP, showing that lower SEP households were exposed to a higher RFEI (β = 0.060, 95% CI: 0.05 to 0.07, p < 0.001.) The study identified significant associations between higher proportions of fast-food outlets and convenience stores, higher BMI, and unhealthy dietary patterns. It was particularly evident that low-income populations are more likely to be exposed to obesogenic food environments.
在墨西哥,75%的人口受到超重或肥胖问题的影响,高热量密集型食品和饮料的可获得性及可承受性都很高。本研究测试了墨西哥零售食品环境指数(RFEI)、饮食模式、体重指数(BMI)和社会经济地位(SEP)之间的关联。进行了基于人群的横断面饮食、健康和社会人口统计学二次数据分析。RFEI的计算方法是,将每个普查区的快餐店和便利店总数除以超市及果蔬店总数。使用多级线性回归测试了BMI、饮食模式、SEP与RFEI之间的关联,包括RFEI与SEP、性别和年龄的相互作用。生活在RFEI较高社区的人群,其BMI高出0.01kg/m²(β = 0.01,95%置信区间:0.0005,0.02,p = 0.04),相当于身高1.60米的人,RFEI每升高10%,平均体重增加0.046千克。在RFEI较高的社区,不健康饮食模式更为常见(β = 0.100,95%置信区间:0.03,0.12,p = 0.001)。多级线性回归显示,与高SEP家庭相比,低SEP家庭的RFEI更高(β =