ArticleBMJ open2021
Identifying co-occurrence and clustering of chronic diseases using latent class analysis: cross-sectional findings from SAGE South Africa Wave 2.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social determinants of multimorbidity patterns: A systematic review.Frontiers in public health · 2023Pooled it
- Association between multimorbidity and disability among elderly with chronic obstructive pulmonary disease in Shanghai, China: a cross-sectional study.BMC geriatrics · 2025Article
- Caring for the "Osteo-Cardiovascular Faller": Associations between Multimorbidity and Fall Transitions among Middle-Aged and Older Chinese.Health data science · 2025Article
- Latent class analysis of chronic disease co-occurrence, clustering and their determinants in India using Study on global AGEing and adult health (SAGE) India Wave-2.Journal of global health · 2024Article
- A pathological convergence theory for non-communicable diseases.Aging medicine (Milton (N.S.W)) · 2023Review
- Associations between multimorbidity and frailty transitions among older Americans.Journal of cachexia, sarcopenia and muscle · 2023Article
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- Article
- Cardiometabolic multimorbidity and associated patterns of healthcare utilization and quality of life: Results from the Study on Global AGEing and Adult Health (SAGE) Wave 2 in Ghana.PLOS global public health · 2023Article
- One in five South Africans are multimorbid: An analysis of the 2016 demographic and health survey.PloS one · 2022Article
- Multimorbidity patterns in South Africa: A latent class analysis.Frontiers in public health · 2022Article
- Inequity in the Distribution of Non-Communicable Disease Multimorbidity in Adults in South Africa: An Analysis of Prevalence and Patterns.International journal of public health · 2022Article
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Authors and funding
7 authors.
Funding
Abstract
objectivesTo classify South African adults with chronic health conditions for multimorbidity (MM) risk, and to determine sociodemographic, anthropometric and behavioural factors associated with identified patterns of MM, using data from the WHO's Study on global AGEing and adult health South Africa Wave 2.
designNationally representative (for ≥50-year-old adults) cross-sectional study.
settingAdults in South Africa between 2014 and 2015.
participants1967 individuals (men: 623 and women: 1344) aged ≥45 years for whom data on all seven health conditions and socioeconomic, demographic, behavioural, and anthropological information were available. MEASURES: MM latent classes.
resultsThe prevalence of MM (coexistence of two or more non-communicable diseases (NCDs)) was 21%. The latent class analysis identified three groups namely: minimal MM risk (83%), concordant (hypertension and diabetes) MM (11%) and discordant (angina, asthma, chronic lung disease, arthritis and depression) MM (6%). Using the minimal MM risk group as the reference, female (relative risk ratio (RRR)=4.57; 95% CI (1.64 to 12.75); p =0.004) and older (RRR=1.08; 95% CI (1.04 to 1.12); p<0.001) participants were more likely to belong to the concordant MM group, while tobacco users (RRR=8.41; 95% CI (1.93 to 36.69); p=0.005) and older (RRR=1.09; 95% CI (1.03 to 1.15); p=0.002) participants had a high likelihood of belonging to the discordant MM group.
conclusionNCDs with similar pathophysiological risk profiles tend to cluster together in older people. Risk factors for MM in South African adults include sex, age and tobacco use.
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