Related Experiment Videos
Multimorbidity Patterns and Functioning Associations Among Adults in a Local South African Setting: A Cross-Sectional
Karina Berner1, Diribsa Tsegaye Bedada2, Hans Strijdom3
1Division of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa.
None:
Multimorbidity poses significant challenges for resource-constrained healthcare systems, particularly in low and middle income countries where specific combinations of chronic conditions may differentially impact function. This cross-sectional study examined multimorbidity patterns and associations with functioning among 165 adults attending semi-rural primary healthcare facilities in South Africa. Participants completed performance-based measures (handgrip strength, five-times sit-to-stand test, step test and exercise prescription tool [STEP] maximum oxygen consumption) and self-reported function (12-item WHODAS 2.0). Exploratory factor analysis identified three multimorbidity patterns: HIV-hypercholesterolaemia-obesity (Pattern 1), hypertension-anaemia-lung disease (Pattern 2), and stroke-heart disease-hypercholesterolaemia (Pattern 3). Pattern 1 was associated with reduced aerobic capacity (β = -6.41, 95% CI: -9.45, -3.36) and grip strength (β = -0.11, 95% CI: -0.14, -0.07). Pattern 2 showed associations with mild (β = 1.12, 95% CI: 0.28, 1.97) and moderate (β = 1.48, 95% CI: 0.53, 2.43) self-reported functional problems and reduced grip strength (β = -0.05, 95% CI: -0.09, -0.003). Pattern 3 was associated with all self-reported impairment levels, with the strongest association for severe impairment (β = 2.16, 95% CI: 0.32, 4.01). These findings highlight the convergence of infectious and non-communicable diseases in this setting. Simple clinical measures like grip strength and self-reported function may hold potential as screening or monitoring tools in the presence of disease patterns, warranting further research.
Related Concept Videos
Cross-Sectional Research
Longitudinal Research