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A national cross-sectional study was conducted with 11,177 Brazilian older adults to evaluate the occurrence of MM and related clusters in Brazilians aged \u2265 60 years old. MM was assessed by a list of 16 physical and mental morbidities and it was defined considering \u2265 2 morbidities. The frequencies of MM and its associated factors were analyzed. After this initial approach, a network analysis was performed to verify the occurrence of clusters of MM and the network of interactions between coexisting morbidities. The occurrence of MM was 58.6% (95% confidence interval [CI]: 57.0\u201360.2). Hypertension (50.6%) was the most frequent morbidity and it was present all combinations of morbidities. Network analysis has demonstrated 4 MM clusters: 1) cardiometabolic; 2) respiratory + cancer; 3) musculoskeletal; and 4) a mixed mental illness + other diseases. Depression was the most central morbidity in the model according to nodes\u2019 centrality measures (strength, closeness, and betweenness) followed by heart disease, and low back pain. Similarity in male and female networks was observed with a conformation of four clusters of MM and cancer as an isolated morbidity. The prevalence of MM in the older Brazilians was high, especially in female sex and persons living in the South region of Brazil. Use of network analysis could be an important tool for identifying MM clusters and address the appropriate health care, research, and medical education for older adults in Brazil.<\/jats:p>","DOI":"10.1371\/journal.pone.0271639","type":"journal-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T17:32:47Z","timestamp":1658338367000},"page":"e0271639","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":13,"title":["Identifying multimorbidity clusters among Brazilian older adults using network analysis: Findings and perspectives"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7356-522X","authenticated-orcid":true,"given":"Sandro Rodrigues","family":"Batista","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana Luiza Lima","family":"Sousa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruno Pereira","family":"Nunes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renato Rodrigues","family":"Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paulo C\u00e9sar Brand\u00e3o Veiga","family":"Jardim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"for the Brazilian Group of Studies on Multimorbidity (GBEM)","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2022,7,20]]},"reference":[{"issue":"10053","key":"pone.0271639.ref001","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1016\/S0140-6736(16)31012-1","article-title":"Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980\u20132015: a systematic analysis for the Global Burden of Disease Study 2015","volume":"388","author":"H Wang","year":"2016","journal-title":"The Lancet"},{"issue":"10033","key":"pone.0271639.ref002","doi-asserted-by":"crossref","first-page":"2145","DOI":"10.1016\/S0140-6736(15)00516-4","article-title":"The World report on ageing and health: a policy framework for healthy ageing","volume":"387","author":"JR Beard","year":"2016","journal-title":"The Lancet"},{"issue":"9781","key":"pone.0271639.ref003","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1016\/S0140-6736(11)60135-9","article-title":"Chronic non-communicable diseases in Brazil: burden and current challenges","volume":"377","author":"MI Schmidt","year":"2011","journal-title":"The Lancet"},{"issue":"9836","key":"pone.0271639.ref004","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0140-6736(12)60240-2","article-title":"Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study","volume":"380","author":"K Barnett","year":"2012","journal-title":"The Lancet"},{"issue":"10","key":"pone.0271639.ref005","doi-asserted-by":"crossref","first-page":"1350","DOI":"10.1093\/gerona\/glx178","article-title":"An international perspective on chronic multimorbidity: approaching the elephant in the room","volume":"73","author":"DL Vetrano","year":"2018","journal-title":"j Gerontol Ser A"},{"issue":"2","key":"pone.0271639.ref006","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1370\/afm.1363","article-title":"Measures of multimorbidity and morbidity burden for use in primary care and community settings: a systematic review and guide","volume":"10","author":"AL Huntley","year":"2012","journal-title":"Ann Fam Med"},{"key":"pone.0271639.ref007","unstructured":"World Health Organization (WHO). 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