Prevalence of multimorbidity of cardiometabolic conditions and associated risk factors in a population-based sample of South Africans: A cross-sectional study

Ageing populations have led to a growing prevalence of multimorbidity. Cardiometabolic multimorbidity (CM), the co-existence of two or more cardiometabolic disorders in the same person, is rapidly increasing. We examined the prevalence and risk factors associated with CM in a population-based sample of South African adults. Data were analysed on individuals aged 15 years from the South African National Health and Nutrition Examination Survey (SANHANES), a cross sectional population-based survey conducted in 2011 - 2012. Methods: CM was defined as having 2 of hypertension, diabetes, stroke and angina. Hypertension was defined as blood pressure 140/90 mmHg or self-reported antihypertensive medication use. Diabetes was defined by HbA1c 6.5% or self-reported medication use. Stroke and angina were assessed by self-report. Multivariable logistic regression was used to investigate the sociodemographic and modifiable risk factors associated with CM. The association of CM with the functional status of individuals was examined using logistic regression, where functional status was measured by the WHO DAS 2.0 12-item instrument. Of the 3832 individuals analysed, the mean age was 40.8 years (S.D. 18.3), 64.5% were female and 18% were 60 years. The prevalence of CM was 10.5%. The most prevalent CM cluster was hypertension and diabetes (7.3%), followed by hypertension and angina (2.6%) and hypertension and stroke (1.9%). Of the individuals with diabetes, nearly three quarters had multimorbidity from co-occurring hypertension, angina and/or stroke and of those with hypertension, 30% had co-occurring diabetes, angina and/or stroke. Age (30-44 years Adjusted Odds Ratio (AOR) = 2.68, 95% CI: 1.15- 6.26), 45 - 59 years AOR = 16.32 (7.38 - 36.06), 60 - 74 years AOR = 40.14 (17.86 - 90.19), and 75 years AOR = 49.54 (19.25 - 127.50) compared with 15 - 29 years); Indian ethnicity (AOR = 2.58 (1.1 - 6.04) compared with black African ethnicity), overweight (AOR = 2.73 (1.84 - 4.07)) and obesity (AOR = 4.20 (2.75 - 6.40)) compared with normal or underweight) were associated with increased odds of CM. When controlling for age, sex and ethnicity, having 2 conditions was associated with significantly higher WHO DAS percentage scores ( = 5.4, S.E. = 1.1, p < 0.001). A tenth of South Africans have two or more cardiometabolic conditions. The findings call for immediate prioritisation of prevention, screening and management of cardiometabolic conditions and their risk factors to avert large scale health care costs and adverse health outcomes associated with multimorbidity.

Publication Details

Journal
Human Science Research Council SA
Published
2025-12-09
DOI
https://doi.org/10.14749/30830765
Primary Topic
Chronic Disease Management Strategies
Type
article
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article

Prevalence of multimorbidity of cardiometabolic conditions and associated risk factors in a population-based sample of South Africans: A cross-sectional study

Human Science Research Council SA
Chronic Disease Management Strategies
article

Prevalence of multimorbidity of cardiometabolic conditions and associated risk factors in a population-based sample of South Africans: A cross-sectional study

article en

Abstract

Ageing populations have led to a growing prevalence of multimorbidity. Cardiometabolic multimorbidity (CM), the co-existence of two or more cardiometabolic disorders in the same person, is rapidly increasing. We examined the prevalence and risk factors associated with CM in a population-based sample of South African adults. Data were analysed on individuals aged 15 years from the South African National Health and Nutrition Examination Survey (SANHANES), a cross sectional population-based survey conducted in 2011 - 2012. Methods: CM was defined as having 2 of hypertension, diabetes, stroke and angina. Hypertension was defined as blood pressure 140/90 mmHg or self-reported antihypertensive medication use. Diabetes was defined by HbA1c 6.5% or self-reported medication use. Stroke and angina were assessed by self-report. Multivariable logistic regression was used to investigate the sociodemographic and modifiable risk factors associated with CM. The association of CM with the functional status of individuals was examined using logistic regression, where functional status was measured by the WHO DAS 2.0 12-item instrument. Of the 3832 individuals analysed, the mean age was 40.8 years (S.D. 18.3), 64.5% were female and 18% were 60 years. The prevalence of CM was 10.5%. The most prevalent CM cluster was hypertension and diabetes (7.3%), followed by hypertension and angina (2.6%) and hypertension and stroke (1.9%). Of the individuals with diabetes, nearly three quarters had multimorbidity from co-occurring hypertension, angina and/or stroke and of those with hypertension, 30% had co-occurring diabetes, angina and/or stroke. Age (30-44 years Adjusted Odds Ratio (AOR) = 2.68, 95% CI: 1.15- 6.26), 45 - 59 years AOR = 16.32 (7.38 - 36.06), 60 - 74 years AOR = 40.14 (17.86 - 90.19), and 75 years AOR = 49.54 (19.25 - 127.50) compared with 15 - 29 years); Indian ethnicity (AOR = 2.58 (1.1 - 6.04) compared with black African ethnicity), overweight (AOR = 2.73 (1.84 - 4.07)) and obesity (AOR = 4.20 (2.75 - 6.40)) compared with normal or underweight) were associated with increased odds of CM. When controlling for age, sex and ethnicity, having 2 conditions was associated with significantly higher WHO DAS percentage scores ( = 5.4, S.E. = 1.1, p < 0.001). A tenth of South Africans have two or more cardiometabolic conditions. The findings call for immediate prioritisation of prevention, screening and management of cardiometabolic conditions and their risk factors to avert large scale health care costs and adverse health outcomes associated with multimorbidity.

Human Science Research Council SA
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Chronic Disease Management Strategies
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