Self-reported and accelerometer-based assessment of physical activity in older adults: results from the Berlin Aging Study II.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
21 06 2023
Historique:
received: 09 12 2022
accepted: 12 06 2023
medline: 23 6 2023
pubmed: 22 6 2023
entrez: 21 6 2023
Statut: epublish

Résumé

Physical activity (PA) has a substantial impact on health and mortality. Besides questionnaires that rely on subjective assessment of activity levels, accelerometers can help to objectify an individual's PA. In this study, variables estimating PA and sleep time obtained through the wGT3X-BT activity monitor (ActiGraph LLC, USA) in 797 participants of the Berlin Aging Study II (BASE-II) were analyzed. Self-reports of PA and sleep time were recorded with Rapid Assessment of Physical Activity (RAPA) and the Pittsburgh Sleep Quality Index sleep questionnaire (PSQI). Total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), fasting glucose, and hemoglobin A1c (HbA1c) were determined in an accredited standard laboratory. Of all participants, 760 fulfilled the PA wear-time criteria. In this sample mean age was 75.6 years (SD: 3.8 years, range 66.0-94.1 years) and 53% of the included participants were women. Average wear time was 23.2 h/day (SD 1.3 h/day). Statistically significant differences between RAPA groups were found for all accelerometric variables except energy expenditure. Post-hoc analysis, however, suggested low agreement between subjective and device-based assessment of physical activity. TC, HDL-C, LDL-C, TG, fasting glucose and HbA1c were weakly correlated with accelerometric variables (Pearson's r ≤ 0.25). Device-based average sleep time per night (mean sleep time = 6.91 h, SD = 1.3, n = 720) and self-reported average sleep time per night (mean sleep time = 7.1 h, SD = 1.15 h, n = 410) were in a comparable range and moderately correlated (Pearson's r = 0.31, p < 0.001, n = 410). Results from this study suggest that self-reported PA obtained through the RAPA and device-based measures assessed by accelerometers are partially inconsistent in terms of the physical activity level of the participants. Self-reported and device-based measures of average sleep time per night, however, were comparable.

Identifiants

pubmed: 37344489
doi: 10.1038/s41598-023-36924-5
pii: 10.1038/s41598-023-36924-5
pmc: PMC10284919
doi:

Substances chimiques

Cholesterol, LDL 0
Glycated Hemoglobin 0
Triglycerides 0
Cholesterol, HDL 0
Glucose IY9XDZ35W2

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

10047

Informations de copyright

© 2023. The Author(s).

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Auteurs

Valentin Max Vetter (VM)

Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Lipid Clinic at the Interdisciplinary Metabolism Center, Biology of Aging Working Group, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.

Duygu Deniz Özince (DD)

Max-Planck Institut für Bildungsforschung, Berlin, Germany.

Jörn Kiselev (J)

Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Operative Intensive Care Medicine (CVK/CCM), Charité - Universitätsmedizin Berlin, Chariteplatz 1, 10117, Berlin, Germany.

Sandra Düzel (S)

Max-Planck Institut für Bildungsforschung, Berlin, Germany.
Department of Cardiology, Charité - Universitätsmedizin Berlin (CBF), Berlin, Germany.

Ilja Demuth (I)

Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Lipid Clinic at the Interdisciplinary Metabolism Center, Biology of Aging Working Group, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany. ilja.demuth@charite.de.
Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany. ilja.demuth@charite.de.

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Classifications MeSH