Identifying the prevalence and correlates of multimorbidity in middle-aged men and women: a cross-sectional population-based study in four African countries.

Autor:	Micklesfield LK; SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa Lisa.Micklesfield@wits.ac.za., Munthali R; SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Agongo G; Department of Biochemistry and Forensic Sciences, School of Chemical and Biochemical Sciences, C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.; Navrongo Health Research Centre, Ghana Health Service, Accra, Ghana., Asiki G; African Population and Health Research Center, Nairobi, Kenya., Boua P; Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso.; Sydney Brenner Institute of Molecular Bioscience, University of the Witwatersrand, Johannesburg, South Africa., Choma SS; Department of Public Health, University of Limpopo, Sovenga, South Africa., Crowther NJ; Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Fabian J; Wits Donald Gordon Medical Centre, University of the Witwatersrand, Johannesburg, South Africa., Gómez-Olivé FX; South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Kabudula C; South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Maimela E; Department of Public Health, University of Limpopo, Sovenga, South Africa., Mohamed SF; Health and Systems for Health, African Population and Health Research Center, Nairobi, Kenya., Nonterah EA; Navrongo Health Research Centre, Ghana Health Service, Accra, Ghana.; Julius Global Health, Julius Centre for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands., Raal FJ; Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Sorgho H; Institut de Recherche en Sciences de la Santé, Ouagadougou, Burkina Faso., Tluway FD; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Wade AN; South African Medical Research Council/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa., Norris SA; SAMRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; School of Human Development and Health, University of Southampton, Southampton, UK., Ramsay M; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Jazyk:	angličtina
Zdroj:	BMJ open [BMJ Open] 2023 Mar 14; Vol. 13 (3), pp. e067788. Date of Electronic Publication: 2023 Mar 14.
DOI:	10.1136/bmjopen-2022-067788
Abstrakt:	Objectives: To determine the prevalence of multimorbidity, to identify which chronic conditions cluster together and to identify factors associated with a greater risk for multimorbidity in sub-Saharan Africa (SSA). Design: Cross-sectional, multicentre, population-based study. Setting: Six urban and rural communities in four sub-Saharan African countries. Participants: Men (n=4808) and women (n=5892) between the ages of 40 and 60 years from the AWI-Gen study. Measures: Sociodemographic and anthropometric data, and multimorbidity as defined by the presence of two or more of the following conditions: HIV infection, cardiovascular disease, chronic kidney disease, asthma, diabetes, dyslipidaemia, hypertension. Results: Multimorbidity prevalence was higher in women compared with men (47.2% vs 35%), and higher in South African men and women compared with their East and West African counterparts. The most common disease combination at all sites was dyslipidaemia and hypertension, with this combination being more prevalent in South African women than any single disease (25% vs 21.6%). Age and body mass index were associated with a higher risk of multimorbidity in men and women; however, lifestyle correlates such as smoking and physical activity were different between the sexes. Conclusions: The high prevalence of multimorbidity in middle-aged adults in SSA is of concern, with women currently at higher risk. This prevalence is expected to increase in men, as well as in the East and West African region with the ongoing epidemiological transition. Identifying common disease clusters and correlates of multimorbidity is critical to providing effective interventions. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.)
Databáze:	MEDLINE
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