Berner Karina, Bedada Diribsa Tsegaye, Strijdom Hans, Webster Ingrid, Louw Quinette
Division of Physiotherapy, Department of Health and Rehabilitation Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town 8000, South Africa.
Department of Statistics and Actuarial Science, University of Waterloo, P.O. Box 200, University Avenue West, Waterloo, ON N2L 3G1, Canada.
Int J Environ Res Public Health. 2025 May 14;22(5):780. doi: 10.3390/ijerph22050780.
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.
多重疾病给资源有限的医疗保健系统带来了重大挑战,尤其是在低收入和中等收入国家,慢性病的特定组合可能对功能产生不同影响。这项横断面研究调查了南非半农村地区初级医疗保健机构中165名成年人的多重疾病模式及其与功能的关联。参与者完成了基于表现的测量(握力、五次坐立试验、步速试验和运动处方工具[STEP]最大耗氧量)以及自我报告的功能(12项世界卫生组织残疾评定量表2.0)。探索性因素分析确定了三种多重疾病模式:艾滋病毒-高胆固醇血症-肥胖(模式1)、高血压-贫血-肺病(模式2)和中风-心脏病-高胆固醇血症(模式3)。模式1与有氧运动能力降低(β=-6.41,95%可信区间:-9.45,-3.36)和握力降低(β=-0.11,95%可信区间:-0.14,-0.07)相关。模式2与轻度(β=1.12,95%可信区间:0.28,1.97)和中度(β=1.48,95%可信区间:0.53,2.43)自我报告的功能问题以及握力降低(β=-0.05,95%可信区间:-0.09,-0.003)相关。模式3与所有自我报告的损伤水平相关,与严重损伤的关联最强(β=2.16,95%可信区间:0.32,4.01)。这些发现突出了在这种情况下传染病和非传染性疾病的汇聚。在存在疾病模式的情况下,握力和自我报告功能等简单临床测量方法可能具有作为筛查或监测工具的潜力,值得进一步研究。