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Title Social determinants of multimorbidity patterns: A systematic review
Authors ÁLVAREZ GÁLVEZ, JAVIER, Ortega-Martin, Esther , CARRETERO BRAVO, JESÚS ANGEL, Perez-Munoz, Celia , Suarez-Lledo, Victor , Ramos-Fiol, Begona
External publication Si
Means Front. Public Health
Scope Review
Nature Científica
JCR Quartile 2
SJR Quartile 1
JCR Impact 3
SJR Impact 0.895
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152325131&doi=10.3389%2ffpubh.2023.1081518&partnerID=40&md5=c3d5943863ba8a96d1d4945ae677156f
Publication date 27/03/2023
ISI 000966024300001
Scopus Id 2-s2.0-85152325131
DOI 10.3389/fpubh.2023.1081518
Abstract Social determinants of multimorbidity are poorly understood in clinical practice. This review aims to characterize the different multimorbidity patterns described in the literature while identifying the social and behavioral determinants that may affect their emergence and subsequent evolution. We searched PubMed, Embase, Scopus, Web of Science, Ovid MEDLINE, CINAHL Complete, PsycINFO and Google Scholar. In total, 97 studies were chosen from the 48,044 identified. Cardiometabolic, musculoskeletal, mental, and respiratory patterns were the most prevalent. Cardiometabolic multimorbidity profiles were common among men with low socioeconomic status, while musculoskeletal, mental and complex patterns were found to be more prevalent among women. Alcohol consumption and smoking increased the risk of multimorbidity, especially in men. While the association of multimorbidity with lower socioeconomic status is evident, patterns of mild multimorbidity, mental and respiratory related to middle and high socioeconomic status are also observed. The findings of the present review point to the need for further studies addressing the impact of multimorbidity and its social determinants in population groups where this problem remains invisible (e.g., women, children, adolescents and young adults, ethnic groups, disabled population, older people living alone and/or with few social relations), as well as further work with more heterogeneous samples (i.e., not only focusing on older people) and using more robust methodologies for better classification and subsequent understanding of multimorbidity patterns. Besides, more studies focusing on the social determinants of multimorbidity and its inequalities are urgently needed in low- and middle-income countries, where this problem is currently understudied.
Keywords multimorbidity; comorbidity; chronic conditions; chronicity; social determinants; behavioral determinants
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