Trends of self-rated health in relation to overweight in the adult population in Brazilian Midwest capitals.
Autor: | Souza LSPL; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Mato Grosso - Cuiabá (MT), Brasil., Brunken GS; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Mato Grosso - Cuiabá (MT), Brasil., Segri NJ; Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Mato Grosso - Cuiabá (MT), Brasil., Malta DC; Secretaria de Vigilância em Saúde do Ministério da Saúde - Brasília (DF), Brasil. |
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Jazyk: | Portuguese; English |
Zdroj: | Revista brasileira de epidemiologia = Brazilian journal of epidemiology [Rev Bras Epidemiol] 2017 Apr-Jun; Vol. 20 (2), pp. 299-309. |
DOI: | 10.1590/1980-5497201700020010 |
Abstrakt: | Objective:: To estimate the trends of self-rated health in relation to overweight in the adult population of the capitals of the Brazilian Midwest region and the Federal District. Methods:: Cross-sectional study with a population aged 20 to 59 years, using data from the Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases (VIGITEL), performed between 2008 and 2014. The estimates using the complex sampling design were made using simple linear regression, trend graphs and Boxplot. Results:: The categories "poor" and "very poor" didn't increase in the analyzed period. There was an average increase of 0.5 percentage point per year in the categories "fair" and "good" and an average decrease of 1.0 percentage point in the category "very good". The trend analysis of mean body mass index found there was a progressive growth in all cities. The worst health perceptions showed higher values of body mass index in both sexes. We observed the existence of obese people assessing their health positively. Conclusion:: Self-rated health remained relatively constant whereas the body mass index continued to grow between 2008 and 2014. The self-rated health of individuals with high body mass index (>30 kg/m2) does not seem to be directly related to their weight. Therefore, it is important to analyze the association of these two variables controlling for morbidity, health behaviors (smoking and alcohol consumption, physical activity and diet), and sociodemographic factors. |
Databáze: | MEDLINE |
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