Why the study?
How do different multimorbidity patterns affect health-related quality of life in adults aged 55 years or older?
How do different multimorbidity patterns affect health-related quality of life in adults aged 55 years or older?
Different multimorbidity patterns differentially impact health-related quality of life in older adults, with cardiovascular/metabolic disorders primarily affecting physical health, while mental/bone impairments affect both physical and mental health.
Supports considering multimorbidity patterns in HRQoL assessment for older adults; leaves open causal effects and intervention targets.
INTRODUCTION: Multimorbid chronic diseases are usually considered separately in trials. Here, we aimed to describe overall multimorbidity patterns in adults aged 55 years or older and assess their effect on health-related quality of life (HRQoL). METHODS: We used data for 5,647 participants included in the SUpplémentation en VItamines et Minéraux AntioXydants 2 (SU.VI.MAX 2) population-based trial. HRQoL was assessed by the French versions of the Medical Outcome Study Short Form 36 and the Duke Health Profile. An exploratory factor analysis was used to determine multimorbidity patterns, and a multimorbidity score for each resulting pattern was calculated. Adjusted multiple linear regression was used to examine the association between the identified multimorbidity and HRQoL scores by gender and for each age group (55-59, 60-64, 65-69, ≥ 70 years). RESULTS: More than 63% of the sample reported two or more chronic conditions (from 55.8% for those 55-59 years to 74.4% for those ≥ 70 years). Multimorbidity was more common among women than men (67.3% vs 60%). Two different multimorbidity patterns were identified. Pattern A was represented mainly by mental illness and bone impairments. Pattern B was represented mainly by cardiovascular and metabolic disorders. After adjusting for covariates, a high pattern A score was associated with reduced HRQoL for the physical and mental components of each HRQoL questionnaire, and a high pattern B score was associated with reduced HRQoL for only the physical component of each questionnaire. These multimorbidity scores affected HRQoL differently by age group. CONCLUSION: Our study used a novel methodological approach to account for multimorbidity patterns in determining the link with chronic conditions. These multimorbidity scores (counted and weighted) can be used in clinical research to control for the effect of multimorbidity on patients' HRQoL and may be useful for clinical practice. CLINICAL TRIAL REGISTRATION: Clinicaltrial.gov (number NCT00272428).
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Walker et al. (2016) studied this question.
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