ArticleBMC geriatrics2024
Latent transition analysis of instrumental activities of daily living in Chinese elderly: based on the 2014-2018 wave of the Chinese Longitudinal Healthy Longevity Survey.
Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- A latent transition analysis of longitudinal stability of post-stroke fatigue.Social psychiatry and psychiatric epidemiology · 2026Article
- Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study.JMIR medical informatics · 2026Article
- How dietary habits and behaviors safeguard daily living activities among the elderly - novel insights from a decade-long longitudinal study.BMC public health · 2026Article
- Six-year transition patterns of activities of daily living in octogenarians: Tokyo oldest old in total health study.BMC geriatrics · 2025Article
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9 authors at 1 institution in 1 country.
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Abstract
backgroundThe instrumental activities of daily living (IADL) among the elderly have been found to be heterogeneous, with different trajectories. However, the transition of the IADL over time remains unclear. We aimed to explore the transition probabilities and the predictors of IADL among the elderly.
methodsLongitudinal data from the 2014 (T1) and 2018 (T2) waves of the Chinese Longitudinal Healthy Longevity Survey were extracted. A sample of 2,944 participants aged 65 years or older, with complete responses to the IADL scale, was included. Latent profile analysis (LPA) and latent transition analysis (LTA) were employed to identify latent profiles of IADL and investigate the transition probabilities between profiles from T1 to T2. The predictors of latent profiles and transition probabilities were examined using multinomial regression analysis.
resultsThe results of LPA at both T1 and T2 supported a 4-profile model solution. They were labeled as the "Normal function profile," "Mildly impaired profile," "Moderately impaired profile," and "Highly impaired profile". The Normal function profile and Highly impaired profile were characterized by maintaining stability rather than transitioning over time, with transition probabilities of 0.71 and 0.68, respectively, for maintaining stability. The Mildly impaired profile and Moderately impaired profile were characterized by a stronger tendency towards transition rather than stability, with transition probabilities of 0.29 and 0.45, respectively, of transitioning to the Highly impaired profile. The transition probabilities from the three impaired function profiles to the Normal function profile ranged from 0.05 to 0.19. Age, gender, place of residence, and social participation were significant predictors of profile attribution at T1 and transition probabilities over time.
conclusionsThis study employed the LTA to examine the transition probability of IADL among the Chinese elderly. By recognizing the different profiles of IADL and understanding the factors associated with transitions among the elderly, interventions can be tailored to improve their functional independence and successful reintegration into families and society.
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