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Article

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

1
Academic Research, Noom, 229 W 28th St., New York, NY 10001, USA
2
Department of Integrative Health, Saybrook University, 55 W Eureka St, Pasadena, CA 91103, USA
3
Ferkauf Graduate School of Psychology, Yeshiva University, 1165 Morris Park Ave, Bronx, NY 10461, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Sharon Lawn
Int. J. Environ. Res. Public Health 2021, 18(4), 1712; https://doi.org/10.3390/ijerph18041712
Received: 22 December 2020 / Revised: 3 February 2021 / Accepted: 4 February 2021 / Published: 10 February 2021
(This article belongs to the Special Issue Digital Intervention and Self-Management)
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. View Full-Text
Keywords: self-managed digital program; digital health; demographics; weight loss self-managed digital program; digital health; demographics; weight loss
MDPI and ACS Style

Mitchell, E.S.; Yang, Q.; Behr, H.; Ho, A.; DeLuca, L.; May, C.N.; Michaelides, A. Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight. Int. J. Environ. Res. Public Health 2021, 18, 1712. https://doi.org/10.3390/ijerph18041712

AMA Style

Mitchell ES, Yang Q, Behr H, Ho A, DeLuca L, May CN, Michaelides A. Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight. International Journal of Environmental Research and Public Health. 2021; 18(4):1712. https://doi.org/10.3390/ijerph18041712

Chicago/Turabian Style

Mitchell, Ellen S., Qiuchen Yang, Heather Behr, Annabell Ho, Laura DeLuca, Christine N. May, and Andreas Michaelides. 2021. "Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight" International Journal of Environmental Research and Public Health 18, no. 4: 1712. https://doi.org/10.3390/ijerph18041712

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