OBJECTIVE: To identify the factors associated with geographic variations in Body Mass Index (BMI) and obesity in Spain. DESIGN: Cross-sectional, ecological analysis using data on illiteracy rate (per 1000 population), energy intake (kcal/person/d), sedentary population (%), smoking population (%), alcohol consumption (g/person/d), and percentage of population aged 65 y or over, for Spain's 50 provinces. SUBJECTS: Non-institutionalized population aged 16y or over. MEASUREMENTS: Median BMI and percentage of population with obesity, defined as BMI > 30 kg/m2. RESULTS: There was a clear geographical pattern, with some areas in the south and north-west of the country registering the highest BMI and prevalence of obesity and a north-south pattern on illiteracy per 1000 population. Multivariate regression analysis showed that illiteracy, sedentary lifestyle and energy intake explain 35% and 14% of the variation in BMI and obesity, respectively. Illiteracy proved to be the variable most associated with both BMI (regression coefficient (beta = 0.01; P = 0.005) and obesity (beta = 0.05; P = 0.013). Sedentary lifestyle showed a statistically significant relationship with BMI (beta = 0.01; P = 0.03), but not with obesity (beta = 0.03; P = 0.581). Energy intake exhibited a relationship with BMI (beta < 0.01 P = 0.03) that lost statistical significance when adjusted for age. CONCLUSION: Geographical variations in BMI in Spain are partly explained by illiteracy, sedentary lifestyle and, to a lesser extent, energy intake, whereas regional variations in obesity are related only to the educational level of the population.
OBJECTIVE: To identify the factors associated with geographic variations in Body Mass Index (BMI) and obesity in Spain. DESIGN: Cross-sectional, ecological analysis using data on illiteracy rate (per 1000 population), energy intake (kcal/person/d), sedentary population (%), smoking population (%), alcohol consumption (g/person/d), and percentage of population aged 65 y or over, for Spain's 50 provinces. SUBJECTS: Non-institutionalized population aged 16y or over. MEASUREMENTS: Median BMI and percentage of population with obesity, defined as BMI > 30 kg/m2. RESULTS: There was a clear geographical pattern, with some areas in the south and north-west of the country registering the highest BMI and prevalence of obesity and a north-south pattern on illiteracy per 1000 population. Multivariate regression analysis showed that illiteracy, sedentary lifestyle and energy intake explain 35% and 14% of the variation in BMI and obesity, respectively. Illiteracy proved to be the variable most associated with both BMI (regression coefficient (beta = 0.01; P = 0.005) and obesity (beta = 0.05; P = 0.013). Sedentary lifestyle showed a statistically significant relationship with BMI (beta = 0.01; P = 0.03), but not with obesity (beta = 0.03; P = 0.581). Energy intake exhibited a relationship with BMI (beta < 0.01 P = 0.03) that lost statistical significance when adjusted for age. CONCLUSION: Geographical variations in BMI in Spain are partly explained by illiteracy, sedentary lifestyle and, to a lesser extent, energy intake, whereas regional variations in obesity are related only to the educational level of the population.
Authors: F Soriguer; G Rojo-Martínez; I Esteva de Antonio; M S Ruiz de Adana; M Catalá; M J Merelo; M Beltrán; F J Tinahones Journal: Eur J Epidemiol Date: 2004 Impact factor: 8.082
Authors: Enrique Regidor; Laura Reques; Carolina Giráldez-García; Estrella Miqueleiz; Juana M Santos; David Martínez; Luis de la Fuente Journal: PLoS One Date: 2015-07-24 Impact factor: 3.240
Authors: Darren J Mayne; Geoffrey G Morgan; Bin B Jalaludin; Adrian E Bauman Journal: Int J Environ Res Public Health Date: 2019-02-24 Impact factor: 3.390