Índice de Massa Corporal como preditor de multimorbidade na população brasileira

Abstract

Overweight is a health risk indicator, but little is known about its influence on the chronic non-communicable diseases (NCD) multimorbidity. The aim of this study was to identify the predictive values and sociodemographic factors associated with Body Mass Index (BMI) as a determinant of the occurrence of NCD multimorbidity in Brazilian men and women. Data from the “Surveillance of risk and protection factors for chronic diseases by telephone survey” - 2013 national survey were used. The population was composed of ≥18 year-old individuals and those living in house with a fixed telephone line in the 27 Brazilian’s capitals. The outcome variables were BMI and its respective predictive value for the occurrence of multimorbidity (≥2 NCDs). The exposure was age, marital status and educational level. Inferential statistics included the construction of Receiver Operating Characteristic curves (cutoff point defined by sensibility [Se] and specificity [Sp]) and the association by Poisson Regression, stratified by sex. The values with the best predictive capacity for multimorbidity were 26.7 kg/m² (Se = 60.9%, Sp = 60.2%) for men and 25.7 kg/m² (Se = 61.8%, Sp = 61.1%) for women. The predictive multimorbidity value followed the progress of age groups up to 55 to 64 years for both groups. Women with higher educational level showed an inverse association for the presence of the outcome. BMI can be considered a predictor of the occurrence of multimorbidity, and sociodemographic profile associated with this predictive value was advancement age and inversely associated with educational level in women.

Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China

“…These studies come from different countries, including different data sources, data collection methods and the number of chronic diseases included in the analysis. As for the collection of data, some studies come from the general population [ 24 ], while others come from medical institutions databases [ 25 ]. Included in these, is a special study on multimorbidity in women [ 26 ].…”

Multimorbidity of chronic noncommunicable diseases: Data from the Brazilian National Health Survey

“…The dire c t relationship b e t we en age and multimorbidity of NCDs is well established in the literature 6,7,8,9,10,11,22,24,25,26,27,28,29,30,31 . The study by Violán et al 23 , in Spain, was the only one that reported a higher prevalence (60.5%) of multimorbidity among young adults (25-44 years) when compared with the elderly.…”

“…Both studies considered the occurrence of two or more concomitant diseases. Most studies that evaluated the clustering of NCDs included several other diseases, ranging from three 7,8,11 to 26 diseases 23 , which makes it difficult to compare the prevalence.…”

“…The analysis of multimorbidity is also important for health planning, as it allows the understanding of the relationship between the main NCDs that lead to high public expenditure, hospital demands and mortality 5 . Thus, some authors have been studying the topic to evaluate the concomitance of different NCDs among adults and the elderly 6,7,8,9,10 .…”