Literature DB >> 33893384

Acceptability of technology-based physical activity intervention profiles and their motivational factors in obesity care: a latent profile transition analysis.

Meggy Hayotte1, Guillaume Martinent2, Véronique Nègre3, Pierre Thérouanne4, Fabienne d'Arripe-Longueville5.   

Abstract

OBJECTIVES: This study aimed to: (a) identify the acceptability profiles for three technology-based physical activity interventions (TbPAI) in obesity treatment (active video games, mobile applications, telehealth), (b) examine the issues of consistency or change in these profiles for the same individual across technologies, and (c) determine whether acceptability profiles are related to motivational factors.
METHODS: Three hundred and twelve women (Mage = 30.7, SD = 7.1 years; MBMI = 34.5, SD = 7.8 kg/m²) using obesity services were recruited for this cross-sectional survey. They completed an online survey including sociodemographic data and measures related to physical activity: level, stage of change, motivation, and general causality orientations. The women read descriptions of the three technologies and rated their acceptability. We used a latent profile transition analysis (LPTA) approach.
RESULTS: A 2-class model (high and low acceptability) best described the profiles for each technology. Intra-individual analysis revealed that the profiles exhibited both changes and stability across TbPAI. Women with high scores on impersonal orientation were more likely to be in the high acceptability telehealth profile, whereas those reporting high scores on control orientation were more likely to be in the high acceptability active video games profile. Women with high scores on control orientation and low scores on impersonal orientation were more likely to be in the high acceptability mobile applications profile.
CONCLUSIONS: Results showed that the causality orientations were factors related to the TbPAI acceptability profiles, suggesting that clinicians should consider these psychological characteristics in TbPAI counseling.

Entities:  

Mesh:

Year:  2021        PMID: 33893384     DOI: 10.1038/s41366-021-00813-6

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  30 in total

1.  A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy.

Authors:  Susan Michie; Stefanie Ashford; Falko F Sniehotta; Stephan U Dombrowski; Alex Bishop; David P French
Journal:  Psychol Health       Date:  2011-06-28

2.  Introduction to the special issue on advancing assessment of, and interventions for, eating disorders via innovative uses of technology.

Authors:  Stephanie Bauer; Andrea B Goldschmidt
Journal:  Int J Eat Disord       Date:  2019-10-03       Impact factor: 4.861

3.  A Meta-analysis of Narrative Game-based Interventions for Promoting Healthy Behaviors.

Authors:  Chun Zhou; Aurora Occa; Soyoon Kim; Susan Morgan
Journal:  J Health Commun       Date:  2019-12-12

Review 4.  When and How Video Games Can Be Good: A Review of the Positive Effects of Video Games on Well-Being.

Authors:  Yemaya J Halbrook; Aisling T O'Donnell; Rachel M Msetfi
Journal:  Perspect Psychol Sci       Date:  2019-11

Review 5.  Interventions promoting physical activity among obese populations: a meta-analysis considering global effect, long-term maintenance, physical activity indicators and dose characteristics.

Authors:  M J Gourlan; D O Trouilloud; P G Sarrazin
Journal:  Obes Rev       Date:  2011-04-04       Impact factor: 9.213

Review 6.  The importance of preoperative and postoperative physical activity counseling in bariatric surgery.

Authors:  Wendy C King; Dale S Bond
Journal:  Exerc Sport Sci Rev       Date:  2013-01       Impact factor: 6.230

7.  Beliefs, Barriers and Facilitators to Physical Activity in Bariatric Surgery Candidates.

Authors:  Juliana Zabatiero; Kylie Hill; Daniel F Gucciardi; Jeffrey M Hamdorf; Susan F Taylor; Martin S Hagger; Anne Smith
Journal:  Obes Surg       Date:  2016-05       Impact factor: 4.129

8.  Patterns of sedentary behavior in overweight and obese women.

Authors:  Meghan Baruth; Patricia A Sharpe; Brent Hutto; Sara Wilcox; Tatiana Y Warren
Journal:  Ethn Dis       Date:  2013       Impact factor: 1.847

9.  The transtheoretical model (TTM) to gain insight into young women's long-term physical activity after bariatric surgery: a qualitative study.

Authors:  Meggy Hayotte; Véronique Nègre; Laura Gray; Jean-Louis Sadoul; Fabienne d'Arripe-Longueville
Journal:  Obes Surg       Date:  2020-02       Impact factor: 4.129

10.  Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1·9 million participants.

Authors:  Regina Guthold; Gretchen A Stevens; Leanne M Riley; Fiona C Bull
Journal:  Lancet Glob Health       Date:  2018-09-04       Impact factor: 26.763

View more
  1 in total

1.  Influencing Factors of College Students' Use of Sports Apps in Mandatory Situations: Based on UTAUT and SDT.

Authors:  Jian Guo
Journal:  Biomed Res Int       Date:  2022-09-22       Impact factor: 3.246

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.