The food environment and adult obesity in US metropolitan areas.
نویسندگان
چکیده
This research examines the larger-scale associations between obesity and food environments in metropolitan areas in the United States (US). The US Census County Business Patterns dataset for 2011 was used to construct various indices of food environments for selected metropolitan areas. The numbers of employees engaged in supermarkets, convenience stores, full service restaurants, fast food restaurants, and snack/coffee shops were standardised using the location quotients, and factor analysis was used to produce two uncorrelated factors measuring food environments. Data on obesity were obtained from the 2011 Behavioral Risk Factor Surveillance System. Individual level obesity measures were linked to the metropolitan area level food environment factors. Models were fitted using generalised estimating equations to control for metropolitan area level intra-correlation and individual level sociodemographic characteristics. It was found that adults residing in cities with a large share of supermarket and full-service restaurant workers were less likely to be obese, while adults residing in cities with a large share of convenience store and fast food restaurant workers were more likely to be obese. Supermarkets and full-service restaurant workers are concentrated in the Northeast and West of the US, where obesity prevalence is relatively lower, while convenience stores and fast-food restaurant workers are concentrated in the South and Midwest, where obesity prevalence is relatively higher. The food environment landscapes measured at the metropolitan area level explain the continental-scale patterns of obesity prevalence. The types of food that are readily available and widely served may translate into obesity disparities across metropolitan areas.
منابع مشابه
Overweight, Obesity, and Its Associated Factors in Adult Women Referring to Health Centers in Shiraz in 2013-2014
Background: Obesity is one of the major health problems in the world; in this regard Iran is not an exception. The present study was conducted to investigate the overweight, obesity, and its related factors in adult women who referred to health centers in Shiraz, Iran. Methods: In this cross-sectional study, 240 women who referred to health centers and aged 18-65 years old were selected through...
متن کاملModeling of solid waste collection and transportation in metropolitan areas using WAGS model: implication of CO2 emission and external costs
Annually more than 80% of the overall budget of the uran solid waste management system in Iran is allotted to collection and transportation of the solid wastes. The main objective of the current study is to evaluate the external costs associated with solid waste collection, transfer, and transportation in Tehran for the period of 2018 to 2032 based on the current situation. Waste guidance syste...
متن کاملRelative Food Prices and Obesity in U.S. Metropolitan Areas: 1976-2001
This study investigates the impact of food price on obesity, by exploring the co-occurrence of obesity growth with relative food price reduction between 1976 and 2001. Analyses control for female labor participation and metropolitan outlet densities that might affect body weight. Both the first-difference and fixed effects approaches provide consistent evidence suggesting that relative food pri...
متن کاملSurvey of the Relationship Between Obesity Prevalence and Ambient Temperature: A Systematic Review
Introduction: Ambient temperature is considered as a factor affecting on the body's metabolism, So that increase or decrease ambient temperature to the range thermoneutral zone (TNZ) (This temperature is 20.3°C to 23°C for covered people) lead to body metabolic changes, and maybe effective on the increase or reduce the prevalence of obesity. Our aim of this study was to review ...
متن کاملDiet-related chronic disease in the northeastern United States: a model-based clustering approach
BACKGROUND Obesity and diabetes are global public health concerns. Studies indicate a relationship between socioeconomic, demographic and environmental variables and the spatial patterns of diet-related chronic disease. In this paper, we propose a methodology using model-based clustering and variable selection to predict rates of obesity and diabetes. We test this method through an application ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Geospatial health
دوره 10 2 شماره
صفحات -
تاریخ انتشار 2015