Multimorbidity in adults from a southern Brazilian city: occurrence and patterns

Bruno Pereira Nunes (), Fabio Alberto Camargo-Figuera, Marília Guttier, Paula Duarte Oliveira, Tiago N. Munhoz, Alicia Matijasevich, Andréa Dâmaso Bertoldi, Fernando César Wehrmeister, Marysabel Pinto Telis Silveira, Elaine Thumé and Luiz Augusto Facchini
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Bruno Pereira Nunes: Federal University of Pelotas
Fabio Alberto Camargo-Figuera: Federal University of Pelotas
Marília Guttier: Federal University of Pelotas
Paula Duarte Oliveira: Federal University of Pelotas
Tiago N. Munhoz: Federal University of Pelotas
Alicia Matijasevich: Federal University of Pelotas
Andréa Dâmaso Bertoldi: Federal University of Pelotas
Fernando César Wehrmeister: Federal University of Pelotas
Marysabel Pinto Telis Silveira: Federal University of Pelotas
Elaine Thumé: Federal University of Pelotas
Luiz Augusto Facchini: Federal University of Pelotas

International Journal of Public Health, 2016, vol. 61, issue 9, No 4, 1013-1020

Abstract: Abstract Objectives The aim of this study was to evaluate occurrences and patterns of multimorbidity in adults from a southern Brazilian city. Methods A population-based cross-sectional study was carried out in 2012 through face-to-face interviews with adults (20 or more years) living in Pelotas, southern Brazil. Multimorbidity was evaluated by a list of 11 morbidities (based on medical diagnosis; Patient Health Questionnaire 9 for depression; and Anatomical Therapeutic Chemical index) and operationalized according to two cutoff points: ≥2 and ≥3 morbidities. Descriptive analysis and factor analysis (FA) were performed. Results The sample was made up of 2927 adults. Multimorbidity reached 29.1 % (95 % CI: 27.1; 31.1) for ≥2, and 14.3 % (95 % CI: 12.8; 15.8) for ≥3 morbidities and was greater in females, older people, those with less schooling and those from lower economic classes. Four pairs (frequency ≥5 %) and four triplets (frequency ≥2 %) were observed. Two patterns of morbidities (cardiometabolic and joint problems; and respiratory diseases) explained 93 % of total variance. Conclusions Multimorbidity was common in the studied population. The observed patterns may be used to generate and improve Brazilian diseases guidelines.

Keywords: Comorbidity; Multimorbidity; Chronic diseases; Statistical disease clustering; Elderly; Brazil (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s00038-016-0819-7

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