Cross-sectional and prospective associations of sleep, sedentary and active behaviors with mental health in older people: a compositional data analysis from the Seniors-ENRICA-2 study.

Compositional data analysis Depression Elderly Happiness Loneliness Prospective

Journal

The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089

Informations de publication

Date de publication:
16 09 2021
Historique:
received: 12 03 2021
accepted: 23 08 2021
entrez: 17 9 2021
pubmed: 18 9 2021
medline: 26 10 2021
Statut: epublish

Résumé

Most studies on the effects of sleep, sedentary behavior (SB), and physical activity (PA) on mental health did not account for the intrinsically compositional nature of the time spent in several behaviors. Thus, we examined the cross-sectional and prospective associations of device-measured compositional time in sleep, SB, light PA (LPA) and moderate-to-vigorous PA (MVPA) with depression symptoms, loneliness, happiness, and global mental health in older people (≥ 65 years). Data were taken from the Seniors-ENRICA-2 study, with assessments in 2015-2017 (wave 0) and 2018-2019 (wave 1). Time spent in sleep, SB, LPA and MVPA was assessed by wrist-worn accelerometers. Depression symptoms, loneliness, happiness, and global mental health were self-reported using validated questionnaires. Analyses were performed using a compositional data analysis (CoDA) paradigm and adjusted for potential confounders. In cross-sectional analyses at wave 0 (n = 2489), time-use composition as a whole was associated with depression and happiness (all p < 0.01). The time spent in MVPA relative to other behaviors was beneficially associated with depression (γ = -0.397, p < 0.001), loneliness (γ = -0.124, p = 0.017) and happiness (γ = 0.243, p < 0.001). Hypothetically, replacing 30-min of Sleep, SB or LPA with MVPA was beneficially cross-sectionally related with depression (effect size [ES] ranged -0.326 to -0.246), loneliness (ES ranged -0.118 to -0.073), and happiness (ES ranged 0.152 to 0.172). In prospective analyses (n = 1679), MVPA relative to other behaviors at baseline, was associated with favorable changes in global mental health (γ = 0.892, p = 0.049). We observed a beneficial prospective effect on global mental health when 30-min of sleep (ES = 0.521), SB (ES = 0.479) or LPA (ES = 0.755) were theoretically replaced for MVPA. MVPA was cross-sectionally related with reduced depression symptoms and loneliness and elevated level of happiness, and prospectively related with enhanced global mental health. Compositional isotemporal analyses showed that hypothetically replacing sleep, SB or LPA with MVPA could result in modest but significantly improvements on mental health indicators. Our findings add evidence to the emerging body of research on 24-h time-use and health using CoDA and suggest an integrated role of daily behaviors on mental health in older people.

Sections du résumé

BACKGROUND
Most studies on the effects of sleep, sedentary behavior (SB), and physical activity (PA) on mental health did not account for the intrinsically compositional nature of the time spent in several behaviors. Thus, we examined the cross-sectional and prospective associations of device-measured compositional time in sleep, SB, light PA (LPA) and moderate-to-vigorous PA (MVPA) with depression symptoms, loneliness, happiness, and global mental health in older people (≥ 65 years).
METHODS
Data were taken from the Seniors-ENRICA-2 study, with assessments in 2015-2017 (wave 0) and 2018-2019 (wave 1). Time spent in sleep, SB, LPA and MVPA was assessed by wrist-worn accelerometers. Depression symptoms, loneliness, happiness, and global mental health were self-reported using validated questionnaires. Analyses were performed using a compositional data analysis (CoDA) paradigm and adjusted for potential confounders.
RESULTS
In cross-sectional analyses at wave 0 (n = 2489), time-use composition as a whole was associated with depression and happiness (all p < 0.01). The time spent in MVPA relative to other behaviors was beneficially associated with depression (γ = -0.397, p < 0.001), loneliness (γ = -0.124, p = 0.017) and happiness (γ = 0.243, p < 0.001). Hypothetically, replacing 30-min of Sleep, SB or LPA with MVPA was beneficially cross-sectionally related with depression (effect size [ES] ranged -0.326 to -0.246), loneliness (ES ranged -0.118 to -0.073), and happiness (ES ranged 0.152 to 0.172). In prospective analyses (n = 1679), MVPA relative to other behaviors at baseline, was associated with favorable changes in global mental health (γ = 0.892, p = 0.049). We observed a beneficial prospective effect on global mental health when 30-min of sleep (ES = 0.521), SB (ES = 0.479) or LPA (ES = 0.755) were theoretically replaced for MVPA.
CONCLUSIONS
MVPA was cross-sectionally related with reduced depression symptoms and loneliness and elevated level of happiness, and prospectively related with enhanced global mental health. Compositional isotemporal analyses showed that hypothetically replacing sleep, SB or LPA with MVPA could result in modest but significantly improvements on mental health indicators. Our findings add evidence to the emerging body of research on 24-h time-use and health using CoDA and suggest an integrated role of daily behaviors on mental health in older people.

Identifiants

pubmed: 34530862
doi: 10.1186/s12966-021-01194-9
pii: 10.1186/s12966-021-01194-9
pmc: PMC8444566
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

124

Informations de copyright

© 2021. The Author(s).

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Auteurs

Verónica Cabanas-Sánchez (V)

IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain. veronica.cabanas@imdea.org.

Irene Esteban-Cornejo (I)

PROFITH "PROmoting FITness and Health through physical activity" Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain.

Esther García-Esquinas (E)

Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Rosario Ortolá (R)

Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.

Ignacio Ara (I)

GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Toledo, Spain.
Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES), Madrid, Spain.

Irene Rodríguez-Gómez (I)

GENUD Toledo Research Group, Universidad de Castilla-La Mancha, Toledo, Spain.
Biomedical Research Networking Center on Frailty and Healthy Aging (CIBERFES), Madrid, Spain.

Sebastien F M Chastin (SFM)

School of Health and Life Science, Institute for Applied Health Research, Glasgow Caledonian University, Glasgow, UK.
Department of Movement and Sport Sciences, Ghent Univeristy, Ghent, Belgium.

Fernando Rodríguez-Artalejo (F)

IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain.
Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.

David Martínez-Gómez (D)

IMDEA Food Institute, CEI UAM+CSIC, Madrid, Spain.
Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid and Idipaz, Madrid, Spain.
CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.

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