D Jovic1, J Marinkovic2, D Vukovic3. 1. Institute of Public Health of Serbia, Centre for Hygiene and Human Ecology, Belgrade, Serbia. Electronic address: drdraganajovic@gmail.com. 2. Faculty of Medicine, Institute of Medical Statistics and Informatics, University of Belgrade, Belgrade, Serbia. 3. Faculty of Medicine, Institute of Social Medicine, University of Belgrade, Belgrade, Serbia.
Abstract
OBJECTIVES: To explore the prevalence of multimorbidity in Serbia according to sex and body mass index (BMI) categories, and to examine the association between BMI and multimorbidity. In addition, this study examined the relationships between the main demographic and socio-economic characteristics of the population (age, settlement, education) and multimorbidity. STUDY DESIGN: Secondary analysis of data from the 2013 Serbian National Health Survey. METHODS: This study analyzed data from 13,103 participants aged ≥20 years with BMI data. The associations between BMI, age, education and multimorbidity were analyzed by multivariate logistic regression. RESULTS: The overall prevalence of multimorbidity was higher than the overall prevalence of a single disease (26.9% vs 20.7%). The proportion of participants who reported two or more chronic diseases increased with each BMI category in both sexes, reaching the highest values in obese category III. Odds ratios (ORs) for the prevalence in all morbidity groups increased gradually with BMI category, and the highest OR values were found in obese category III. Males of obese category III were seven times more likely to have multimorbidity [OR 7.2, 95% confidence interval (CI) 4.2-12.6] than males of normal weight, whereas females of obese category III were nine and a half times more likely to have multimorbidity (OR 9.5, 95% CI 4.0-22.4) than females of normal weight. In the multivariable analysis, age (both sexes), low and middle level of education (males), and rural settlement and low level of education (females) were found to be predictors of multimorbidity. CONCLUSIONS: This study found positive associations between obesity and multimorbidity and between overweight and multimorbidity. Recognizing these associations is of great importance from both clinical and public health perspectives because this could lead to an integrated approach for patients.
OBJECTIVES: To explore the prevalence of multimorbidity in Serbia according to sex and body mass index (BMI) categories, and to examine the association between BMI and multimorbidity. In addition, this study examined the relationships between the main demographic and socio-economic characteristics of the population (age, settlement, education) and multimorbidity. STUDY DESIGN: Secondary analysis of data from the 2013 Serbian National Health Survey. METHODS: This study analyzed data from 13,103 participants aged ≥20 years with BMI data. The associations between BMI, age, education and multimorbidity were analyzed by multivariate logistic regression. RESULTS: The overall prevalence of multimorbidity was higher than the overall prevalence of a single disease (26.9% vs 20.7%). The proportion of participants who reported two or more chronic diseases increased with each BMI category in both sexes, reaching the highest values in obese category III. Odds ratios (ORs) for the prevalence in all morbidity groups increased gradually with BMI category, and the highest OR values were found in obese category III. Males of obese category III were seven times more likely to have multimorbidity [OR 7.2, 95% confidence interval (CI) 4.2-12.6] than males of normal weight, whereas females of obese category III were nine and a half times more likely to have multimorbidity (OR 9.5, 95% CI 4.0-22.4) than females of normal weight. In the multivariable analysis, age (both sexes), low and middle level of education (males), and rural settlement and low level of education (females) were found to be predictors of multimorbidity. CONCLUSIONS: This study found positive associations between obesity and multimorbidity and between overweight and multimorbidity. Recognizing these associations is of great importance from both clinical and public health perspectives because this could lead to an integrated approach for patients.
Authors: Teresa A Marshall; John M Van Buren; John J Warren; Joseph E Cavanaugh; Steven M Levy Journal: J Acad Nutr Diet Date: 2017-03-02 Impact factor: 4.910
Authors: A Calderón-Larrañaga; D L Vetrano; L Ferrucci; S W Mercer; A Marengoni; G Onder; M Eriksdotter; L Fratiglioni Journal: J Intern Med Date: 2018-11-22 Impact factor: 8.989
Authors: Fangfang Hu; Lingzhong Xu; Jinling Zhou; Jiao Zhang; Zhaorong Gao; Zhuang Hong Journal: Int J Environ Res Public Health Date: 2020-11-12 Impact factor: 3.390