Dataset Information

Leisure time activities as mediating variables in functional disability progression: An application of parallel latent growth curve modeling.

ABSTRACT: OBJECTIVES:The aims of this study were to investigate (1) whether and (2) the extent to which Taiwanese older adults' leisure time activity (LTA) trajectories mediated the potential association between their sociodemographic factors and their functional disability trajectories. METHODS:Longitudinal data from four waves of the Taiwan Longitudinal Study on Aging (TLSA), collected between 1996 and 2007, were used for analysis (N = 3,429). Parallel-process latent growth curve modeling was adopted to evaluate the process by which LTA mediated between sociodemographic factors (age, gender, education, self-rated health, comorbidities, and depression) and the outcome process of functional disabilities. RESULTS:When mediated by baseline level of LTA, five sociodemographic factors-age, gender, education level, self-rated health, and number of comorbidities-had significant and negative mediating effects on baseline or change in functional disability, thus improving disability outcomes. However, four of the sociodemographic factors (age, education level, and number of comorbidities), when mediated through the rate of change in LTA, were found to have significant and positive mediating effects, which increased disability levels. The proportion of effects mediated by the LTA trajectory ranged from 0% to 194%. DISCUSSION:The large proportion of effects mediated through the LTA process underlines the importance of LTA to public health policy and health programs for older adults. The study's findings shed light on how to better target populations of older adults to promote an active lifestyle and achieve more successful aging in late life in Asian countries.

SUBMITTER: Chen YM

PROVIDER: S-EPMC6169861 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Leisure time activities as mediating variables in functional disability progression: An application of parallel latent growth curve modeling.

Chen Ya-Mei YM Tu Yu-Kang YK Yu Hsiao-Wei HW Chiu Tzu-Ying TY Chiang Tung-Liang TL Chen Duan-Rung DR Chang Ray-E RE

PloS one 20181003 10

<h4>Objectives</h4>The aims of this study were to investigate (1) whether and (2) the extent to which Taiwanese older adults' leisure time activity (LTA) trajectories mediated the potential association between their sociodemographic factors and their functional disability trajectories.<h4>Methods</h4>Longitudinal data from four waves of the Taiwan Longitudinal Study on Aging (TLSA), collected between 1996 and 2007, were used for analysis (N = 3,429). Parallel-process latent growth curve modeling ...[more]

PMID: 30281590

Similar Datasets

Project description:BACKGROUND: The ChIP-chip technology has been used in a wide range of biomedical studies, such as identification of human transcription factor binding sites, investigation of DNA methylation, and investigation of histone modifications in animals and plants. Various methods have been proposed in the literature for analyzing the ChIP-chip data, such as the sliding window methods, the hidden Markov model-based methods, and Bayesian methods. Although, due to the integrated consideration of uncertainty of the models and model parameters, Bayesian methods can potentially work better than the other two classes of methods, the existing Bayesian methods do not perform satisfactorily. They usually require multiple replicates or some extra experimental information to parametrize the model, and long CPU time due to involving of MCMC simulations. RESULTS: In this paper, we propose a Bayesian latent model for the ChIP-chip data. The new model mainly differs from the existing Bayesian models, such as the joint deconvolution model, the hierarchical gamma mixture model, and the Bayesian hierarchical model, in two respects. Firstly, it works on the difference between the averaged treatment and control samples. This enables the use of a simple model for the data, which avoids the probe-specific effect and the sample (control/treatment) effect. As a consequence, this enables an efficient MCMC simulation of the posterior distribution of the model, and also makes the model more robust to the outliers. Secondly, it models the neighboring dependence of probes by introducing a latent indicator vector. A truncated Poisson prior distribution is assumed for the latent indicator variable, with the rationale being justified at length. CONCLUSION: The Bayesian latent method is successfully applied to real and ten simulated datasets, with comparisons with some of the existing Bayesian methods, hidden Markov model methods, and sliding window methods. The numerical results indicate that the Bayesian latent method can outperform other methods, especially when the data contain outliers.

Project description:BackgroundThe relationship between leisure activities (LA) in old age and prevention of disability has not been fully investigated, and age and gender differences of these relationships are unknown. This study aimed to investigate whether physical and cognitive LA predicted incident disability among community-dwelling older adults by age and gender.MethodsWe prospectively observed 8,275 residents aged 65 or above without disability at baseline for 3 years. Incident disability was defined as a new certification of the public long-term care insurance system. LA were classified into two types: physical LA and cognitive LA. The frequency of LA was categorized into frequent (i.e., once a week or more), moderate (i.e., monthly or yearly), and non-engagement. Covariates included age, gender, family number, education, perceived economic situation, body mass index, chronic medical conditions, alcohol consumption, smoking status, regular dental visits, depression, cognitive functioning, and social participation. Multivariable Poisson regression models were used to estimate adjusted cumulative incidence ratio (CIR) and 95% confidence interval (CI) for incident disability. We performed stratified analyses by age groups (i.e., the young-old aged 65-74 and the old-old aged 75-97) and gender (i.e., men and women).ResultsThe 3-year cumulative incidence of disability was 7.5%. After adjustment for covariates and mutual adjustment for both types of LA, a significant dose-response relationship between more frequent LA and lower risk of incident disability was found in young-old physical LA (P-trend < 0.001), in old-old cognitive LA (P-trend = 0.012), in male cognitive LA (P-trend = 0.006), and in female physical LA (P-trend = 0.030). Compared with people without LA, adjusted CIR (95% CI) of frequent LA was 0.47 (0.30-0.74) in young-old physical, 0.75 (0.58-0.96) in old-old cognitive, 0.65 (0.46-0.89) in male cognitive, and 0.70 (0.52-0.95) in female physical. Regarding the effect modification according to age and gender, only interaction between age and physical LA significantly prevented incident disability (P for interaction = 0.019).ConclusionWe found age differences in the association of physical LA with incident disability among community-dwelling older adults. An effective measure to prevent long-term care in the community would be to recommend frequent physical LA for the young-old.

Dataset Information

Leisure time activities as mediating variables in functional disability progression: An application of parallel latent growth curve modeling.

Publications

Leisure time activities as mediating variables in functional disability progression: An application of parallel latent growth curve modeling.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure