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The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study
BACKGROUND: Technology-mediated obesity treatments are commonly affected by poor long-term adherence. Supportive Accountability Theory suggests that the provision of social support and oversight toward goals may help to maintain adherence in technology-mediated treatments. However, no tool exists to...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420735/ https://www.ncbi.nlm.nih.gov/pubmed/32720911 http://dx.doi.org/10.2196/17967 |
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author | Chhabria, Karishma Ross, Kathryn M Sacco, Shane J Leahey, Tricia M |
author_facet | Chhabria, Karishma Ross, Kathryn M Sacco, Shane J Leahey, Tricia M |
author_sort | Chhabria, Karishma |
collection | PubMed |
description | BACKGROUND: Technology-mediated obesity treatments are commonly affected by poor long-term adherence. Supportive Accountability Theory suggests that the provision of social support and oversight toward goals may help to maintain adherence in technology-mediated treatments. However, no tool exists to measure the construct of supportive accountability. OBJECTIVE: This study aimed to develop and psychometrically validate a supportive accountability measure (SAM) by examining its performance in technology-mediated obesity treatment. METHODS: Secondary data analyses were conducted in 2 obesity treatment studies to validate the SAM (20 items). Study 1 examined reliability, criterion validity, and construct validity using an exploratory factor analysis in individuals seeking obesity treatment. Study 2 examined the construct validity of SAM in technology-mediated interventions involving different self-monitoring tools and varying amounts of phone-based interventionist support. Participants received traditional self-monitoring tools (standard, in-home self-monitoring scale [SC group]), newer, technology-based self-monitoring tools (TECH group), or these newer technology tools plus additional phone-based support (TECH+PHONE group). Given that the TECH+PHONE group involves more interventionist support, we hypothesized that this group would have greater supportive accountability than the other 2 arms. RESULTS: In Study 1 (n=353), the SAM showed strong reliability (Cronbach α=.92). A factor analysis revealed a 3-factor solution (representing Support for Healthy Eating Habits, Support for Exercise Habits, and Perceptions of Accountability) that explained 69% of the variance. Convergent validity was established using items from the motivation for weight loss scale, specifically the social regulation subscale (r=0.33; P<.001) and social pressure for weight loss subscale (r=0.23; P<.001). In Study 2 (n=80), the TECH+PHONE group reported significantly higher SAM scores at 6 months compared with the SC and TECH groups (r(2)=0.45; P<.001). Higher SAM scores were associated with higher adherence to weight management behaviors, including higher scores on subscales representing healthy dietary choices, the use of self-monitoring strategies, and positive psychological coping with weight management challenges. The association between total SAM scores and percent weight change was in the expected direction but not statistically significant (r=−0.26; P=.06). CONCLUSIONS: The SAM has strong reliability and validity across the 2 studies. Future studies may consider using the SAM in technology-mediated weight loss treatment to better understand whether support and accountability are adequately represented and how supportive accountability impacts treatment adherence and outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT01999244; https://clinicaltrials.gov/ct2/show/NCT01999244 |
format | Online Article Text |
id | pubmed-7420735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74207352020-08-20 The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study Chhabria, Karishma Ross, Kathryn M Sacco, Shane J Leahey, Tricia M J Med Internet Res Original Paper BACKGROUND: Technology-mediated obesity treatments are commonly affected by poor long-term adherence. Supportive Accountability Theory suggests that the provision of social support and oversight toward goals may help to maintain adherence in technology-mediated treatments. However, no tool exists to measure the construct of supportive accountability. OBJECTIVE: This study aimed to develop and psychometrically validate a supportive accountability measure (SAM) by examining its performance in technology-mediated obesity treatment. METHODS: Secondary data analyses were conducted in 2 obesity treatment studies to validate the SAM (20 items). Study 1 examined reliability, criterion validity, and construct validity using an exploratory factor analysis in individuals seeking obesity treatment. Study 2 examined the construct validity of SAM in technology-mediated interventions involving different self-monitoring tools and varying amounts of phone-based interventionist support. Participants received traditional self-monitoring tools (standard, in-home self-monitoring scale [SC group]), newer, technology-based self-monitoring tools (TECH group), or these newer technology tools plus additional phone-based support (TECH+PHONE group). Given that the TECH+PHONE group involves more interventionist support, we hypothesized that this group would have greater supportive accountability than the other 2 arms. RESULTS: In Study 1 (n=353), the SAM showed strong reliability (Cronbach α=.92). A factor analysis revealed a 3-factor solution (representing Support for Healthy Eating Habits, Support for Exercise Habits, and Perceptions of Accountability) that explained 69% of the variance. Convergent validity was established using items from the motivation for weight loss scale, specifically the social regulation subscale (r=0.33; P<.001) and social pressure for weight loss subscale (r=0.23; P<.001). In Study 2 (n=80), the TECH+PHONE group reported significantly higher SAM scores at 6 months compared with the SC and TECH groups (r(2)=0.45; P<.001). Higher SAM scores were associated with higher adherence to weight management behaviors, including higher scores on subscales representing healthy dietary choices, the use of self-monitoring strategies, and positive psychological coping with weight management challenges. The association between total SAM scores and percent weight change was in the expected direction but not statistically significant (r=−0.26; P=.06). CONCLUSIONS: The SAM has strong reliability and validity across the 2 studies. Future studies may consider using the SAM in technology-mediated weight loss treatment to better understand whether support and accountability are adequately represented and how supportive accountability impacts treatment adherence and outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT01999244; https://clinicaltrials.gov/ct2/show/NCT01999244 JMIR Publications 2020-07-28 /pmc/articles/PMC7420735/ /pubmed/32720911 http://dx.doi.org/10.2196/17967 Text en ©Karishma Chhabria, Kathryn M Ross, Shane J Sacco, Tricia M Leahey. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.07.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Chhabria, Karishma Ross, Kathryn M Sacco, Shane J Leahey, Tricia M The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study |
title | The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study |
title_full | The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study |
title_fullStr | The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study |
title_full_unstemmed | The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study |
title_short | The Assessment of Supportive Accountability in Adults Seeking Obesity Treatment: Psychometric Validation Study |
title_sort | assessment of supportive accountability in adults seeking obesity treatment: psychometric validation study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420735/ https://www.ncbi.nlm.nih.gov/pubmed/32720911 http://dx.doi.org/10.2196/17967 |
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