Dataset Information

Determinants of Health Trajectories in England and the United States: An Approach to Identify Different Patterns of Healthy Aging.

ABSTRACT:

Background

Aging is a multidimensional process with a remarkable interindividual variability. This study is focused on identifying groups of population with similar aging patterns, and to define the health trajectories of these groups. Sociodemographic and health determinants of these trajectories are also identified.

Methods

Data from the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) were used. A set of self-reported health items and measured tests were used to generate a latent health metric by means of a Bayesian multilevel IRT model, assessing the ability of the metric to predict mortality. Then, a Growth Mixture Model (GMM) was conducted in each study to identify latent classes and assess health trajectories. Kaplan-Meier survival curves were obtained for each class and a multinomial logistic regression was used to identify determinants of these trajectories.

Results

The health score generated showed an adequate ability to predict mortality over 10 years in ELSA (AUC = 0.74; 95% CI: 0.72, 0.75) and HRS (AUC = 0.74; 95% CI: 0.73, 0.75). By means of GMM, four latent classes were identified in ELSA and five in HRS. Chronic conditions, no qualification and low level of household wealth were associated to the classes which showed a higher mortality in both studies.

Conclusion

The method based on the creation of a common metric of health and the use of GMM to identify similar patterns of aging, allows for the comparison of trajectories of health across longitudinal surveys. Multimorbidity, educational level, and household wealth could be considered as determinants associated to these trajectories.

SUBMITTER: de la Fuente J

PROVIDER: S-EPMC6175023 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Publications

Determinants of Health Trajectories in England and the United States: An Approach to Identify Different Patterns of Healthy Aging.

de la Fuente Javier J Caballero Francisco Félix FF Sánchez-Niubó Albert A Panagiotakos Demosthenes B DB Prina A Matthew AM Arndt Holger H Haro Josep Maria JM Chatterji Somnath S Ayuso-Mateos José Luis JL

The journals of gerontology. Series A, Biological sciences and medical sciences 20181001 11

<h4>Background</h4>Aging is a multidimensional process with a remarkable interindividual variability. This study is focused on identifying groups of population with similar aging patterns, and to define the health trajectories of these groups. Sociodemographic and health determinants of these trajectories are also identified.<h4>Methods</h4>Data from the English Longitudinal Study of Aging (ELSA) and the Health and Retirement Study (HRS) were used. A set of self-reported health items and measure ...[more]

PMID: 29346518

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Dataset Information

Determinants of Health Trajectories in England and the United States: An Approach to Identify Different Patterns of Healthy Aging.

Background

Methods

Results

Conclusion

Publications

Determinants of Health Trajectories in England and the United States: An Approach to Identify Different Patterns of Healthy Aging.

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