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Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes

Background: Physical activity is critical for preventing and treating Type 2 diabetes (T2D). It is important to identify different profiles of physical activity change among those participating in behavioral interventions to optimize intervention-person fit. Methods: This study analyzes longitudinal...

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Autores principales: Millstein, Rachel A., Golden, Julia, Healy, Brian C., Amonoo, Hermioni L., Harnedy, Lauren E., Carrillo, Alba, Celano, Christopher M., Huffman, Jeff C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Routledge 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359186/
https://www.ncbi.nlm.nih.gov/pubmed/35957957
http://dx.doi.org/10.1080/21642850.2022.2104724
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author Millstein, Rachel A.
Golden, Julia
Healy, Brian C.
Amonoo, Hermioni L.
Harnedy, Lauren E.
Carrillo, Alba
Celano, Christopher M.
Huffman, Jeff C.
author_facet Millstein, Rachel A.
Golden, Julia
Healy, Brian C.
Amonoo, Hermioni L.
Harnedy, Lauren E.
Carrillo, Alba
Celano, Christopher M.
Huffman, Jeff C.
author_sort Millstein, Rachel A.
collection PubMed
description Background: Physical activity is critical for preventing and treating Type 2 diabetes (T2D). It is important to identify different profiles of physical activity change among those participating in behavioral interventions to optimize intervention-person fit. Methods: This study analyzes longitudinal trajectories of change in moderate-to-vigorous physical activity (MVPA) in a positive psychology (PP) and motivational interviewing (MI) intervention for T2D, using latent growth curve modeling (LGCM). Objective measures of MVPA were collected using accelerometers at three time points: pre-intervention, immediately post-intervention, and eight weeks post-intervention. LGCM analyses identified subpopulations of participants who responded similarly to the intervention and examined if sociodemographic, medical and psychosocial characteristics were associated with MVPA trajectories. Results: Analyses included 47 participants with complete follow-ups: 49% male, 81% non-Hispanic white, average age 66.1 (SD = 10.1). Overall, 36% of the participants increased MVPA while 57% did not. LGCM identified three profiles with distinct MVPA trajectories. Profile 1 (‘Started Low, No Change’; 65.8% of participants) with a starting mean of 4.54 min of MVPA/day and decreased by −3.36 min. Profile 2 (‘Moderate-High Start, Minimal Change,’ 27.4% of participants) and had a starting mean of 22.86 min/day of MVPA with an average increase of 1.03 min. Profile 3 (‘Moderate Start, Ended High’; 6.8% of participants), had a starting mean of 7.33 min MVPA/day, and increased by 28.4 min. Being male, younger, having fewer medical and psychiatric comorbidities were associated with increases in MVPA. Conclusions: This secondary analysis detected three distinct physical activity profiles during and after a PP-MI intervention. Future interventions can target individuals with characteristics that showed the greatest benefit and add additional supports to people in groups that did not increase physical activity as much. These findings show a need for targeted and sustained behavior change strategies during and after physical activity interventions. Trial registration: ClinicalTrials.gov; identifier: NCT03001999.
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spelling pubmed-93591862022-08-10 Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes Millstein, Rachel A. Golden, Julia Healy, Brian C. Amonoo, Hermioni L. Harnedy, Lauren E. Carrillo, Alba Celano, Christopher M. Huffman, Jeff C. Health Psychol Behav Med Research Article Background: Physical activity is critical for preventing and treating Type 2 diabetes (T2D). It is important to identify different profiles of physical activity change among those participating in behavioral interventions to optimize intervention-person fit. Methods: This study analyzes longitudinal trajectories of change in moderate-to-vigorous physical activity (MVPA) in a positive psychology (PP) and motivational interviewing (MI) intervention for T2D, using latent growth curve modeling (LGCM). Objective measures of MVPA were collected using accelerometers at three time points: pre-intervention, immediately post-intervention, and eight weeks post-intervention. LGCM analyses identified subpopulations of participants who responded similarly to the intervention and examined if sociodemographic, medical and psychosocial characteristics were associated with MVPA trajectories. Results: Analyses included 47 participants with complete follow-ups: 49% male, 81% non-Hispanic white, average age 66.1 (SD = 10.1). Overall, 36% of the participants increased MVPA while 57% did not. LGCM identified three profiles with distinct MVPA trajectories. Profile 1 (‘Started Low, No Change’; 65.8% of participants) with a starting mean of 4.54 min of MVPA/day and decreased by −3.36 min. Profile 2 (‘Moderate-High Start, Minimal Change,’ 27.4% of participants) and had a starting mean of 22.86 min/day of MVPA with an average increase of 1.03 min. Profile 3 (‘Moderate Start, Ended High’; 6.8% of participants), had a starting mean of 7.33 min MVPA/day, and increased by 28.4 min. Being male, younger, having fewer medical and psychiatric comorbidities were associated with increases in MVPA. Conclusions: This secondary analysis detected three distinct physical activity profiles during and after a PP-MI intervention. Future interventions can target individuals with characteristics that showed the greatest benefit and add additional supports to people in groups that did not increase physical activity as much. These findings show a need for targeted and sustained behavior change strategies during and after physical activity interventions. Trial registration: ClinicalTrials.gov; identifier: NCT03001999. Routledge 2022-08-04 /pmc/articles/PMC9359186/ /pubmed/35957957 http://dx.doi.org/10.1080/21642850.2022.2104724 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Millstein, Rachel A.
Golden, Julia
Healy, Brian C.
Amonoo, Hermioni L.
Harnedy, Lauren E.
Carrillo, Alba
Celano, Christopher M.
Huffman, Jeff C.
Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
title Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
title_full Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
title_fullStr Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
title_full_unstemmed Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
title_short Latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
title_sort latent growth curve modeling of physical activity trajectories in a positive-psychology and motivational interviewing intervention for people with type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359186/
https://www.ncbi.nlm.nih.gov/pubmed/35957957
http://dx.doi.org/10.1080/21642850.2022.2104724
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