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Abstract

Purpose

This study aimed to explore the association of total multidimensional activity participation and different types of activity on sleep health.

Design

Cohort study.

Setting

The study used Chinese Longitudinal Healthy Longevity Survey (CLHLS) sleep data collected from 2005 onward (2005-2018).

Sample

A total of 1038 older adults aged 60 and older.

Measures

Multidimensional activity participation was assessed across ten items. Sleep quality and sleep duration were assessed using a single item each. Sociodemographic variables were included as covariates.

Analysis

We used a generalized linear mixed effects model to analyze the relationship between total multidimensional activity participation, activity types, and sleep health.

Results

Physical activities were positively correlated with sleep quality (β = .010, P < .01). Moreover, cognitive activities were negatively correlated with short sleep duration (OR = .973, P < .05). In sleep quality, males (β = .224, P < .001), urban/town areas (β = .126, P < .01), high quality of life (β = .081, P < .01), health (β = .100, P < .001), and mental health (β = .014, P < .01) protected factors, while having heart disease (β = −.248, P < .001) was a risk factor. Regarding short sleep duration, urban/town areas (OR = .761, P < .01) and high health (OR = .808, P < .001) were negatively correlated with it. Heart disease (OR = 1.589, P < .01) was positively correlated with short sleep duration.

Conclusion

It is necessary to consider the role of multidimensional characteristics in promoting sleep health and active aging.

Keywords

multidimensional activity participation sleep quality sleep duration older adults CLHLS

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The Association Between Multidimensional Activity Participation and Sleep Health in the Context of Active Aging: A Cohort Study Based on the CLHLS From 2005 to 2018

Abstract

Purpose

Design

Setting

Sample

Measures

Analysis

Results

Conclusion

Keywords

Get full access to this article

References

Supplementary Material