ArticlePloS one2018
Lifestyle factors and high body mass index are associated with different multimorbidity clusters in the Brazilian population.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 29 citations in OpenAlex.
- Boosting Immunity Through Nutrition and Gut Health: A Narrative Review on Managing Allergies and Multimorbidity.Nutrients · 2025Review
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- Multimorbidity patterns as predictors of sleeping medication use: a population-based study in women in Southern Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024Article
- Quality of life and associated factors among community-dwelling adults with multimorbidity in Shanghai, China: A cross-sectional study.Nursing open · 2023Article
- Multimorbidity patterns: obesity as the main modifiable risk factor in adult women in Southern Brazil.Archives of endocrinology and metabolism · 2023Article
- Experience of living with multimorbidity and health workers perspectives on the organization of health services for people living with multiple chronic conditions in Bahir Dar, northwest Ethiopia: a qualitative study.BMC health services research · 2023Article
- Cross-sectional associations between body mass index, waist circumference, and multimorbidity:PeerJ · 2023Article
- An analysis of socioeconomic factors on multiple chronic conditions and its economic burden: evidence from the National Health Service Survey in Yunnan Province, China.Frontiers in public health · 2023Article
- Prevalence and factors associated with multimorbidity in adults in Brazil, according to sex: a population-based cross-sectional survey.Frontiers in public health · 2023Article
- Multimorbidity patterns across race/ethnicity as stratified by age and obesity.Scientific reports · 2022Article
- Prevalence of multimorbidity of cardiometabolic conditions and associated risk factors in a population-based sample of South Africans: A cross-sectional study.Public health in practice (Oxford, England) · 2021Article
- The Risk of Multimorbidity Associated with Overweight and Obesity: Data from the Brazilian National Health Survey 2013.Journal of obesity & metabolic syndrome · 2021Article
- Increases in multimorbidity with weight class in the United States.Clinical obesity · 2021Article
- Chronic disease multimorbidity among the Canadian population: prevalence and associated lifestyle factors.Archives of public health = Archives belges de sante publique · 2021Article
- Multimorbidity and its associated factors among adults aged 50 and over: A cross-sectional study in 17 European countries.PloS one · 2021Article
- Article
- Relationship between multimorbidity and composite lifestyle status in Shenzhen, China.Journal of multimorbidity and comorbidityArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimorbidity patterns of a population can be influenced by socioeconomic and lifestyle-related factors. Some of these factors are preventable when healthy habits are promoted to the population. This study analyzed the main grouping patterns of chronic diseases and the relationship with socioeconomic and lifestyle-related factors of the Brazilian population (over the age of 18), based on a population-based survey (2013 National Health Survey). A total of 60,202 participants were included. Cluster analysis was carried out to identify the combinations of chronic diseases. Bivariate and multivariate analyses were carried out to verify the relationship between disease clusters and independent variables, utilizing Poisson's regression with robust variance, considering a 95% confidence interval. Cluster analysis revealed four disease clusters:cardiometabolic diseases/cancer, mental/occupational diseases, musculoskeletal diseases and respiratory diseases, all significantly associated with the female gender, current/past smoking habits and overweight/obesity in multivariate analyses. These aspects must be considered when planning health services and developing strategies and guidelines for the prevention and treatment of multiple chronic conditions.
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