Predictors and Outcomes of Digital Weighing and Activity Tracking Lapses Among Young Adults During Weight Gain Prevention

Obesity ◽  
2021 ◽  
Vol 29 (4) ◽  
pp. 698-705
Author(s):  
Brooke T. Nezami ◽  
Carmina G. Valle ◽  
Alison K. Nulty ◽  
Mark Espeland ◽  
Rena R. Wing ◽  
...  
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Weight Gain Prevention ◽  
Activity Tracking

Patterns of weight change in a weight gain prevention study for young adults

Obesity ◽  
2021 ◽  
Author(s):  
Jacqueline F. Hayes ◽  
Deborah F. Tate ◽  
Mark A. Espeland ◽  
Jessica Gokee LaRose ◽  
Amy A. Gorin ◽  
...  
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Weight Change ◽  
Weight Gain Prevention ◽  
Prevention Study

scholarly journals Changes in Cardiovascular Risk Factors Over 6 Years in Young Adults in a Randomized Trial of Weight Gain Prevention

Obesity ◽  
2020 ◽  
Vol 28 (12) ◽  
pp. 2323-2330
Author(s):  
Rena R. Wing ◽  
Mark A. Espeland ◽  
Deborah F. Tate ◽  
Letitia H. Perdue ◽  
Judy Bahnson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Young Adults ◽  
Cardiovascular Risk ◽  
Weight Gain ◽  
Randomized Trial ◽  
Cardiovascular Risk Factors ◽  
Weight Gain Prevention

scholarly journals Recruiting and retaining young adults in a weight gain prevention trial: Lessons learned from the CHOICES study

2015 ◽  
Vol 13 (2) ◽  
pp. 205-213 ◽  
Author(s):  
Stacey G Moe ◽  
Leslie A Lytle ◽  
Marilyn S Nanney ◽  
Jennifer A Linde ◽  
Melissa N Laska
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Lessons Learned ◽  
Prevention Trial ◽  
Weight Gain Prevention

Findings From a Randomized Trial of Weight Gain Prevention Among Overweight Puerto Rican Young Adults

2019 ◽  
Vol 51 (2) ◽  
pp. 205-216 ◽  
Author(s):  
Daniel T. Halperin ◽  
Jeffrey Laux ◽  
Carlos LeFranc-García ◽  
Coloma Araujo ◽  
Cristina Palacios
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Randomized Trial ◽  
Puerto Rican ◽  
Weight Gain Prevention

Experiences of African American Breast Cancer Survivors Using Digital Scales and Activity Trackers in a Weight Gain Prevention Intervention: Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Julianne M Power ◽  
Deborah F Tate ◽  
Carmina G Valle
Keyword(s):  
Breast Cancer ◽  
African American ◽  
Weight Gain ◽  
Daily Activity ◽  
Weight Control ◽  
Breast Cancer Survivors ◽  
Digital Tools ◽  
Weight Gain Prevention ◽  
Activity Tracking ◽  
Activity Trackers

BACKGROUND The use of digital tools to promote daily self-weighing and daily activity tracking may be a promising strategy for weight control among African American breast cancer survivors (AABCS). There have been no studies exploring the acceptability and feasibility of using digital tools for weight control or qualitative studies characterizing perceptions of daily self-weighing and daily activity tracking among AABCS. OBJECTIVE This study aimed to explore the subjective experiences of daily self-weighing and daily activity tracking using digital tools, including wireless scales and activity trackers, in a sample of AABCS participating in two technology-based weight gain prevention interventions over 6 months. METHODS Semistructured interviews (N=21) were conducted in person or over the phone, were audio recorded, and then transcribed verbatim. Each transcript was read to identify key themes and develop a codebook. Each transcript was coded using Atlas.ti software, and code outputs were used to identify overarching themes and patterns in the data. RESULTS On average, participants were 52.6 (SD 8.3) years of age, with obesity at baseline (BMI 33.1 kg/m<sup>2</sup>, SD 5.9), and weighed on 123.4 (SD 48.0) days out of the 168 days (73.5%) in the study period. Women tended to attribute their weight gain to cancer treatment and framed program benefits in terms of improved quality of life and perceptions of prolonging their survival following treatment. Using the smart scale for daily self-weighing was viewed as the tool by which participants could control their weight and improve their health and well-being posttreatment. The activity tracker increased awareness of physical activity and motivated participants to be more active. CONCLUSIONS Participants reported positive experiences and benefits from daily self-weighing and daily activity tracking. Findings suggest that daily self-weighing and daily activity tracking using digital tools are well-received, acceptable, and feasible intervention strategies for AABCS in the context of posttreatment weight management.

scholarly journals Examining Heterogeneity of Outcomes in a Weight Gain Prevention Program for Young Adults

Obesity ◽  
2020 ◽  
Vol 28 (3) ◽  
pp. 521-528
Author(s):  
Rena R. Wing ◽  
Gregory B. Russell ◽  
Deborah F. Tate ◽  
Mark A. Espeland ◽  
Jessica Gokee LaRose ◽  
...  
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Prevention Program ◽  
Weight Gain Prevention

scholarly journals Making large changes or small changes to prevent weight gain in young adulthood: which is preferred and by whom?

2021 ◽  
Author(s):  
Jacqueline F Hayes ◽  
Deborah F Tate ◽  
Mark A Espeland ◽  
Jessica Gokee LaRose ◽  
Amy A Gorin ◽  
...  
Keyword(s):  
Young Adults ◽  
Weight Gain ◽  
Self Regulation ◽  
Large Change ◽  
Treatment Preferences ◽  
Weight Gain Prevention ◽  
Perceived Effectiveness ◽  
Prevention Interventions ◽  
Small Change

Abstract Knowledge of participant treatment preferences can inform decision-making regarding treatment dissemination and future participant adoption. To compare participant perceptions of two evidence-based approaches for weight gain prevention in young adults to identify the intervention with the greatest likelihood of adoption. As part of a randomized trial (Study of Novel Approaches to Weight Gain Prevention [SNAP]; n = 599) testing weight gain prevention interventions in young adults (18–35 years), individuals assigned to self-regulation interventions using either large changes or small changes reported on perceived personal effectiveness and difficulty of treatment over 3 years. Treatment satisfaction at 2-year follow-up was also reported. Pre-randomization, participants believed the large change intervention would be more personally effective than the small change intervention, although they also considered it more complex. Older age, lower body mass index (p = 0.056), and desire to maintain versus lose weight predicted greater perceived effectiveness of the small change relative to large change intervention. Over follow-up, the large change intervention was no longer perceived as more effective, but perceived effectiveness aligned with assigned treatment. The small change intervention was rated as less complex than the large change intervention at 4 months, but not at other follow-ups. At study conclusion, participants were largely satisfied with both treatments; however, in the small change intervention, individuals who were not successful at preventing weight gain were less satisfied than individuals who were successful. The large and small change interventions are both appropriate for dissemination with no clear advantages based on the participant perceptions.

Sign in / Sign up

Export Citation Format

Share Document