OBJECTIVE: Although the relationship between area socioeconomic environment and obesity is known, previous research has measured area socioeconomic environment at only one point in time. This study evaluates the relationship of cumulative area-based adverse socioeconomic environment with body mass index (BMI) and overweight. DESIGN: Cross-sectional study. SETTING: Spain. PARTICIPANTS: 17 917 subjects in 2001. MAIN OUTCOME MEASURE: Information from 1980, 1990 and 2000 was used for the percentage of the population with low educational achievement, gross domestic product per capita (GDPpc), and Gini coefficient to estimate BMI and prevalence of overweight by the number of times each province had an adverse exposure to each of these measures of socioeconomic environment. RESULTS: After adjusting for individual variables and sports facilities in the area, the difference in BMI in residents of provinces with the highest percentage of population with low educational achievement in 1980, 1990 and 2000, compared with residents of provinces with no history of adverse socioeconomic environment based on this indicator, was 0.61 kg/m(2), whereas the prevalence of overweight was 1.46 times higher. Similar results were obtained for residents of provinces with cumulative low GDPpc versus residents of provinces that had never had low GDPpc. Neither BMI nor overweight were associated with cumulative income inequality based on the Gini coefficient. CONCLUSION: Cumulative adverse socioeconomic environment based on indicators of educational level or wealth, but not of income inequality, is positively associated with BMI and overweight. This association is not explained by individual characteristics or by the availability of sports facilities.
OBJECTIVE: Although the relationship between area socioeconomic environment and obesity is known, previous research has measured area socioeconomic environment at only one point in time. This study evaluates the relationship of cumulative area-based adverse socioeconomic environment with body mass index (BMI) and overweight. DESIGN: Cross-sectional study. SETTING: Spain. PARTICIPANTS: 17 917 subjects in 2001. MAIN OUTCOME MEASURE: Information from 1980, 1990 and 2000 was used for the percentage of the population with low educational achievement, gross domestic product per capita (GDPpc), and Gini coefficient to estimate BMI and prevalence of overweight by the number of times each province had an adverse exposure to each of these measures of socioeconomic environment. RESULTS: After adjusting for individual variables and sports facilities in the area, the difference in BMI in residents of provinces with the highest percentage of population with low educational achievement in 1980, 1990 and 2000, compared with residents of provinces with no history of adverse socioeconomic environment based on this indicator, was 0.61 kg/m(2), whereas the prevalence of overweight was 1.46 times higher. Similar results were obtained for residents of provinces with cumulative low GDPpc versus residents of provinces that had never had low GDPpc. Neither BMI nor overweight were associated with cumulative income inequality based on the Gini coefficient. CONCLUSION: Cumulative adverse socioeconomic environment based on indicators of educational level or wealth, but not of income inequality, is positively associated with BMI and overweight. This association is not explained by individual characteristics or by the availability of sports facilities.
Authors: Stephanie A Prince; Elizabeth A Kristjansson; Katherine Russell; Jean-Michel Billette; Michael C Sawada; Amira Ali; Mark S Tremblay; Denis Prud'homme Journal: Obesity (Silver Spring) Date: 2012-01-19 Impact factor: 5.002
Authors: Natalie Riedel; Kateryna Fuks; Barbara Hoffmann; Simone Weyers; Johannes Siegrist; Raimund Erbel; Anja Viehmann; Andreas Stang; Joachim Scheiner; Nico Dragano Journal: BMC Public Health Date: 2012-09-20 Impact factor: 3.295
Authors: Stephanie A Prince; Elizabeth A Kristjansson; Katherine Russell; Jean-Michel Billette; Michael Sawada; Amira Ali; Mark S Tremblay; Denis Prud'homme Journal: Int J Environ Res Public Health Date: 2011-10-14 Impact factor: 3.390