Combining diaries and accelerometers to explain change in physical activity during a lifestyle intervention for adults with pre-diabetes: A PREVIEW sub-study.

Bibliographic Details
Title: Combining diaries and accelerometers to explain change in physical activity during a lifestyle intervention for adults with pre-diabetes: A PREVIEW sub-study.
Authors: Leon Klos, Gareth Stratton, Kelly A Mackintosh, Melitta A McNarry, Mikael Fogelholm, Mathijs Drummen, Ian Macdonald, J Alfredo Martinez, Santiago Navas-Carretero, Teodora Handjieva-Darlenska, Georgi Bogdanov, Nicholas Gant, Sally D Poppitt, Marta P Silvestre, Jennie Brand-Miller, Roslyn Muirhead, Wolfgang Schlicht, Maija Huttunen-Lenz, Shannon Brodie, Elli Jalo, Margriet Westerterp-Plantenga, Tanja Adam, Pia Siig Vestentoft, Heikki Tikkanen, Jonas S Quist, Anne Raben, Nils Swindell
Source: PLoS ONE, Vol 19, Iss 3, p e0300646 (2024)
Publisher Information: Public Library of Science (PLoS), 2024.
Publication Year: 2024
Collection: LCC:Medicine
LCC:Science
Subject Terms: Medicine, Science
More Details: Self-report and device-based measures of physical activity (PA) both have unique strengths and limitations; combining these measures should provide complementary and comprehensive insights to PA behaviours. Therefore, we aim to 1) identify PA clusters and clusters of change in PA based on self-reported daily activities and 2) assess differences in device-based PA between clusters in a lifestyle intervention, the PREVIEW diabetes prevention study. In total, 232 participants with overweight and prediabetes (147 women; 55.9 ± 9.5yrs; BMI ≥25 kg·m-2; impaired fasting glucose and/or impaired glucose tolerance) were clustered using a partitioning around medoids algorithm based on self-reported daily activities before a lifestyle intervention and their changes after 6 and 12 months. Device-assessed PA levels (PAL), sedentary time (SED), light PA (LPA), and moderate-to-vigorous PA (MVPA) were assessed using ActiSleep+ accelerometers and compared between clusters using (multivariate) analyses of covariance. At baseline, the self-reported "walking and housework" cluster had significantly higher PAL, MVPA and LPA, and less SED than the "inactive" cluster. LPA was higher only among the "cycling" cluster. There was no difference in the device-based measures between the "social-sports" and "inactive" clusters. Looking at the changes after 6 months, the "increased walking" cluster showed the greatest increase in PAL while the "increased cycling" cluster accumulated the highest amount of LPA. The "increased housework" and "increased supervised sports" reported least favourable changes in device-based PA. After 12 months, there was only minor change in activities between the "increased walking and cycling", "no change" and "increased supervised sports" clusters, with no significant differences in device-based measures. Combining self-report and device-based measures provides better insights into the behaviours that change during an intervention. Walking and cycling may be suitable activities to increase PA in adults with prediabetes.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1932-6203
Relation: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0300646&type=printable; https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0300646&type=printable
DOI: 10.1371/journal.pone.0300646
Access URL: https://doaj.org/article/e37e99fba56a460b8d0153b26917657e
Accession Number: edsdoj.37e99fba56a460b8d0153b26917657e
Database: Directory of Open Access Journals
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More Details
ISSN:19326203
DOI:10.1371/journal.pone.0300646&type=printable
Published in:PLoS ONE
Language:English