Chronic disease profiles of subjective memory complaints: a latent class analysis of older people in a rural Malaysian community
Yap, Kwong Hsia, Allotey, Pascale, Reidpath, Daniel D. and Warren, Narelle, (2020). Chronic disease profiles of subjective memory complaints: a latent class analysis of older people in a rural Malaysian community. Aging and Mental Health, 24(5), 709-716
Document type:
Article
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Sub-type Journal article Author Yap, Kwong Hsia
Allotey, Pascale
Reidpath, Daniel D.
Warren, NarelleTitle Chronic disease profiles of subjective memory complaints: a latent class analysis of older people in a rural Malaysian community Appearing in Aging and Mental Health Volume 24 Issue No. 5 Publication Date 2020 Place of Publication London Publisher Taylor & Francis Start page 709 End page 716 Language eng Abstract Background: Subjective memory complaints (SMC) are common in the elderly and have been suggested as the first subtle sign of decline which can predict dementia. Cognitive decline is thought to be related to inflammatory processes similarly found in other chronic diseases and conditions such as stroke, heart disease and arthritis. This study aimed to examine the association of SMC with chronic diseases and the profile of these health conditions reported by a group of older adults. Methods: Data from a cross-sectional survey conducted from August 2013 and March 2014 was drawn from 6179 individuals aged 56 years and above. Multivariable logistic regression analyses were used to examine SMC’s relationship with individual chronic diseases (asthma, kidney disease, heart disease, stroke, arthritis, hypertension and diabetes) and multimorbidity. Latent class analysis (LCA) was used to identify the profile of health conditions. The effect of SMC was estimated in a multinomial logistic regression as part of the latent class model. Results: SMC was statistically significant in its association with asthma, stroke, heart disease, arthritis and multimorbidity in the fully controlled multivariable logistic regression models. Three health profiles were identified: low comorbidity (n = 4136, low rates in all health conditions), arthritis group (n = 860) and diabetes and hypertension group (n = 1183). SMC was associated with arthritis group (OR = 2.04, 95% CI = 1.51–2.75) and diabetes and hypertension group (OR = 1.22, 95% CI = 1.03–1.46). Conclusion: Adapting a combination of analytical approaches allows a better understanding in the assessment of SMC’s relationship with chronic diseases and the patterns of distribution of these health conditions. Keyword Health profile
Subjective memory complaints
Latent class analysis
Population-based studyCopyright Holder Taylor & Francis Copyright Year 2020 Copyright type All rights reserved ISSN 13646915 DOI https://doi.org/10.1080/13607863.2018.1550632 -
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