TY - JOUR
T1 - Identifying the prevalence and correlates of multimorbidity in middle-aged men and women
T2 - a cross-sectional population-based study in four African countries
AU - Micklesfield, Lisa K.
AU - Munthali, Richard
AU - Agongo, Godfred
AU - Asiki, Gershim
AU - Boua, Palwende
AU - Choma, Solomon S.R.
AU - Crowther, Nigel J.
AU - Fabian, June
AU - Gómez-Olivé, Francesc Xavier
AU - Kabudula, Chodziwadziwa
AU - Maimela, Eric
AU - Mohamed, Shukri F.
AU - Nonterah, Engelbert A.
AU - Raal, Frederick J.
AU - Sorgho, Hermann
AU - Tluway, Furahini D.
AU - Wade, Alisha N.
AU - Norris, Shane A.
AU - Ramsay, Michele
N1 - Publisher Copyright:
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.
PY - 2023/3/14
Y1 - 2023/3/14
N2 - 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.
AB - 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.
KW - EPIDEMIOLOGY
KW - Lipid disorders
KW - PUBLIC HEALTH
UR - https://www.scopus.com/pages/publications/85150276088
U2 - 10.1136/bmjopen-2022-067788
DO - 10.1136/bmjopen-2022-067788
M3 - Article
C2 - 36918238
AN - SCOPUS:85150276088
SN - 2044-6055
VL - 13
JO - BMJ Open
JF - BMJ Open
IS - 3
M1 - e067788
ER -