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Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight

There is substantial variability in weight loss outcomes. Psychosocial characteristics underlying outcomes require better understanding, particularly on self-managed digital programs. This cross-sectional study examines differences in psychosocial characteristics by weight loss and engagement outcom...

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Autores principales: Mitchell, Ellen S., Yang, Qiuchen, Behr, Heather, Ho, Annabell, DeLuca, Laura, May, Christine N., Michaelides, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916717/
https://www.ncbi.nlm.nih.gov/pubmed/33578975
http://dx.doi.org/10.3390/ijerph18041712
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author Mitchell, Ellen S.
Yang, Qiuchen
Behr, Heather
Ho, Annabell
DeLuca, Laura
May, Christine N.
Michaelides, Andreas
author_facet Mitchell, Ellen S.
Yang, Qiuchen
Behr, Heather
Ho, Annabell
DeLuca, Laura
May, Christine N.
Michaelides, Andreas
author_sort Mitchell, Ellen S.
collection PubMed
description There is substantial variability in weight loss outcomes. Psychosocial characteristics underlying outcomes require better understanding, particularly on self-managed digital programs. This cross-sectional study examines differences in psychosocial characteristics by weight loss and engagement outcome, and which characteristics are most associated with weight loss, on a self-managed digital weight loss program. Some underexplored psychosocial characteristics are included, such as flourishing, or a sense of meaning and purpose in life. A questionnaire was emailed to a random sample of 10,000 current users at week 5 in the program and 10,000 current users at week 17. The questionnaire was completed by 2225 users, and their self-reported weight and recorded program engagement data were extracted from the program’s database. Multiple comparison tests indicated that mental health quality of life, depression, anxiety, work-life balance, and flourishing differed by weight loss outcome at program end (week 17; ≥5%, 2–5%, below 2%) and by engagement tertile at program beginning and end (weeks 5 and 17). Only anxiety was associated with weight loss in a backward stepwise regression controlling for engagement and sociodemographic characteristics. Flourishing did not predict weight loss overall but predicted the weight loss outcome group. Our findings have implications for creating more effective interventions for individuals based on psychosocial characteristics and highlight the potential importance of anxiety in underexplored self-managed digital programs.
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spelling pubmed-79167172021-03-01 Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight Mitchell, Ellen S. Yang, Qiuchen Behr, Heather Ho, Annabell DeLuca, Laura May, Christine N. Michaelides, Andreas Int J Environ Res Public Health Article There is substantial variability in weight loss outcomes. Psychosocial characteristics underlying outcomes require better understanding, particularly on self-managed digital programs. This cross-sectional study examines differences in psychosocial characteristics by weight loss and engagement outcome, and which characteristics are most associated with weight loss, on a self-managed digital weight loss program. Some underexplored psychosocial characteristics are included, such as flourishing, or a sense of meaning and purpose in life. A questionnaire was emailed to a random sample of 10,000 current users at week 5 in the program and 10,000 current users at week 17. The questionnaire was completed by 2225 users, and their self-reported weight and recorded program engagement data were extracted from the program’s database. Multiple comparison tests indicated that mental health quality of life, depression, anxiety, work-life balance, and flourishing differed by weight loss outcome at program end (week 17; ≥5%, 2–5%, below 2%) and by engagement tertile at program beginning and end (weeks 5 and 17). Only anxiety was associated with weight loss in a backward stepwise regression controlling for engagement and sociodemographic characteristics. Flourishing did not predict weight loss overall but predicted the weight loss outcome group. Our findings have implications for creating more effective interventions for individuals based on psychosocial characteristics and highlight the potential importance of anxiety in underexplored self-managed digital programs. MDPI 2021-02-10 2021-02 /pmc/articles/PMC7916717/ /pubmed/33578975 http://dx.doi.org/10.3390/ijerph18041712 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mitchell, Ellen S.
Yang, Qiuchen
Behr, Heather
Ho, Annabell
DeLuca, Laura
May, Christine N.
Michaelides, Andreas
Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight
title Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight
title_full Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight
title_fullStr Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight
title_full_unstemmed Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight
title_short Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight
title_sort psychosocial characteristics by weight loss and engagement in a digital intervention supporting self-management of weight
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916717/
https://www.ncbi.nlm.nih.gov/pubmed/33578975
http://dx.doi.org/10.3390/ijerph18041712
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