Diurnal patterns of sedentary behavior and changes in physical function over time among older women: a prospective cohort study.


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:
09 07 2020
Historique:
received: 06 04 2020
accepted: 29 06 2020
entrez: 11 7 2020
pubmed: 11 7 2020
medline: 11 11 2020
Statut: epublish

Résumé

Sedentary behavior (SB) is linked to negative health outcomes in older adults. Most studies use summary values, e.g., total sedentary minutes/day. Diurnal timing of SB accumulation may further elucidate SB-health associations. Six thousand two hundred four US women (mean age = 79 ± 7; 50% White, 34% African-American) wore accelerometers for 7-days at baseline, yielding 41,356 person-days with > 600 min/day of data. Annual follow-up assessments of health, including physical functioning, were collected from participants for 6 years. A novel two-phase clustering procedure discriminated participants' diurnal SB patterns: phase I grouped day-level SB trajectories using longitudinal k-means; phase II determined diurnal SB patterns based on proportion of phase I trajectories using hierarchical clustering. Mixed models tested associations between SB patterns and longitudinal physical functioning, adjusted for covariates including total sedentary time. Effect modification by moderate-vigorous-physical activity (MVPA) was tested. Four diurnal SB patterns were identified: p1 = high-SB-throughout-the-day; p2 = moderate-SB-with-lower-morning-SB; p3 = moderate-SB-with-higher-morning-SB; p4 = low-SB-throughout-the-day. High MVPA mitigated physical functioning decline and correlated with better baseline and 6-year trajectory of physical functioning across patterns. In low MVPA, p2 had worse 6-year physical functioning decline compared to p1 and p4. In high MVPA, p2 had similar 6-year physical functioning decline compared to p1, p3, and p4. In a large cohort of older women, diurnal SB patterns were associated with rates of physical functioning decline, independent of total sedentary time. In particular, we identified a specific diurnal SB subtype defined by less SB earlier and more SB later in the day, which had the steepest decline in physical functioning among participants with low baseline MVPA. Thus, diurnal timing of SB, complementary to total sedentary time and MVPA, may offer additional insights into associations between SB and physical health, and provide physicians with early warning of patients at high-risk of physical function decline.

Sections du résumé

BACKGROUND
Sedentary behavior (SB) is linked to negative health outcomes in older adults. Most studies use summary values, e.g., total sedentary minutes/day. Diurnal timing of SB accumulation may further elucidate SB-health associations.
METHODS
Six thousand two hundred four US women (mean age = 79 ± 7; 50% White, 34% African-American) wore accelerometers for 7-days at baseline, yielding 41,356 person-days with > 600 min/day of data. Annual follow-up assessments of health, including physical functioning, were collected from participants for 6 years. A novel two-phase clustering procedure discriminated participants' diurnal SB patterns: phase I grouped day-level SB trajectories using longitudinal k-means; phase II determined diurnal SB patterns based on proportion of phase I trajectories using hierarchical clustering. Mixed models tested associations between SB patterns and longitudinal physical functioning, adjusted for covariates including total sedentary time. Effect modification by moderate-vigorous-physical activity (MVPA) was tested.
RESULTS
Four diurnal SB patterns were identified: p1 = high-SB-throughout-the-day; p2 = moderate-SB-with-lower-morning-SB; p3 = moderate-SB-with-higher-morning-SB; p4 = low-SB-throughout-the-day. High MVPA mitigated physical functioning decline and correlated with better baseline and 6-year trajectory of physical functioning across patterns. In low MVPA, p2 had worse 6-year physical functioning decline compared to p1 and p4. In high MVPA, p2 had similar 6-year physical functioning decline compared to p1, p3, and p4.
CONCLUSIONS
In a large cohort of older women, diurnal SB patterns were associated with rates of physical functioning decline, independent of total sedentary time. In particular, we identified a specific diurnal SB subtype defined by less SB earlier and more SB later in the day, which had the steepest decline in physical functioning among participants with low baseline MVPA. Thus, diurnal timing of SB, complementary to total sedentary time and MVPA, may offer additional insights into associations between SB and physical health, and provide physicians with early warning of patients at high-risk of physical function decline.

Identifiants

pubmed: 32646435
doi: 10.1186/s12966-020-00992-x
pii: 10.1186/s12966-020-00992-x
pmc: PMC7346671
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

88

Subventions

Organisme : NHLBI NIH HHS
ID : HHSN268201600001C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600003C
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001412
Pays : United States
Organisme : NHLBI NIH HHS
ID : RO1 HL105065
Pays : United States
Organisme : NIA NIH HHS
ID : 1P01AG052352-01A1
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL130483
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600018C
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG052352
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201600002C
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL079891
Pays : United States

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Auteurs

Chase Reuter (C)

Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, 92093, USA.

John Bellettiere (J)

Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, 92093, USA.
Center for Behavioral Epidemiology and Community Health (CBEACH), San Diego State University, San Diego, CA, 92123, USA.

Sandy Liles (S)

Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, 92093, USA.
Center for Behavioral Epidemiology and Community Health (CBEACH), San Diego State University, San Diego, CA, 92123, USA.

Chongzhi Di (C)

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.

Dorothy D Sears (DD)

Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, 92093, USA.
College of Health Solutions, Arizona State University, Phoenix, AZ, 85004, USA.
Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr, La Jolla, CA, 92037, USA.

Michael J LaMonte (MJ)

Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo-SUNY, New York, NY, 14214, USA.

Marcia L Stefanick (ML)

Stanford Prevention Research Center, Stanford University School of Medicine, Stanford University, Stanford, CA, 94305, USA.

Andrea Z LaCroix (AZ)

Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, 92093, USA.

Loki Natarajan (L)

Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, 92093, USA. lnatarajan@health.ucsd.edu.
Moores Cancer Center, University of California San Diego, 3855 Health Sciences Dr, La Jolla, CA, 92037, USA. lnatarajan@health.ucsd.edu.

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Classifications MeSH