scholarly journals Describing Transitions in Adherence to Physical Activity Self-monitoring and Goal Attainment in an Online Behavioral Weight Loss Program: Secondary Analysis of a Randomized Controlled Trial (Preprint)

10.2196/30673 ◽  
2021 ◽  
Author(s):  
Melissa Lee Stansbury ◽  
Jean R Harvey ◽  
Rebecca A Krukowski ◽  
Christine A Pellegrini ◽  
Xuewen Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Goal Attainment ◽  
Controlled Trial ◽  
Secondary Analysis ◽  
Weight Loss Program ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Randomized Controlled

scholarly journals Evaluation of a community-based behavioral weight loss program in Chinese adults: A randomized controlled trial

Obesity ◽  
2016 ◽  
Vol 24 (7) ◽  
pp. 1464-1470 ◽  
Author(s):  
Zhengxiong Yang ◽  
Zhiping Yu ◽  
Yingying Jiang ◽  
Yamin Bai ◽  
Karen Miller-Kovach ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Weight Loss Program ◽  
Behavioral Weight Loss ◽  
Chinese Adults ◽  
Community Based ◽  
Randomized Controlled

High and Low Responders in a Comprehensive Lifestyle Program for Weight Loss - Secondary Analysis of a Randomized Controlled Trial

2017 ◽  
Vol 24 (4) ◽  
pp. 232-239 ◽  
Author(s):  
Dieter Melchart ◽  
Erich Wühr ◽  
Wolfgang Weidenhammer
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Weight Reduction ◽  
Controlled Trial ◽  
Secondary Analysis ◽  
Overweight And Obesity ◽  
High Response ◽  
Self Monitoring ◽  
Randomized Controlled ◽  
Lifestyle Program

Background/Objectives: Unhealthy lifestyle is often related to overweight and obesity and thus to chronic diseases. Web-based programs might be an option for a comprehensive approach to improving long-term weight management. Data from a randomized controlled trial (RCT) evaluating the impact of a lifestyle program on weight reduction were used for a secondary analysis. The objectives were (a) to identify potential predictors for marked weight loss, (b) to explore associations of weight reduction with changes in health-related variables, and (c) to evaluate whether self-monitoring of the daily lifestyle is associated with weight loss. Methods: 67 subjects with a body mass index of 28-35 who underwent the 1-year ‘Individual Health Management' (IHM) program were included in the analysis (mean age 49.8 years, 79% female). Two subgroups (high response: ≥7.5% weight reduction vs. low response: <7.5%) were compared in terms of sociodemographic data, baseline values, and pre-post changes of various risk and protective factors. A logistic regression was performed to identify potential predictors of weight loss. Results: 70% of the subjects fulfilled the criterion of high response. There were no statistically significant differences between the two subgroups with respect to sociodemographic and baseline data. Regression analysis failed to identify any predictors for the amount of weight reduction. Subjects with high response showed a more distinct improvement in life satisfaction and neurovegetative stability. The findings indicated an association between the level of self-monitoring and weight loss. Conclusions: More research is needed to establish optimal strategies for maximizing the longer-term maintenance of weight loss and prevention effects. For weight reduction, support strategies like feedback learning through self-monitoring, reporting systems, and self-performance measurement with questionnaires might ameliorate high-intensity lifestyle modification programs.

scholarly journals Describing Transitions in Adherence to Physical Activity Self-monitoring and Goal Attainment in an Online Behavioral Weight Loss Program: Secondary Analysis of a Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Melissa Lee Stansbury ◽  
Jean R Harvey ◽  
Rebecca A Krukowski ◽  
Christine A Pellegrini ◽  
Xuewen Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Goal Attainment ◽  
Vigorous Physical Activity ◽  
Secondary Analysis ◽  
Individual Characteristics ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Program Goal ◽  
Monitoring Behavior

BACKGROUND Standard behavioral weight loss interventions often set uniform physical activity (PA) goals and promote PA self-monitoring; however, adherence remains a challenge and recommendations may not accommodate all individuals. Identifying patterns of PA goal attainment and self-monitoring behavior will offer a deeper understanding of how individuals adhere to different types of commonly prescribed PA recommendations (ie., minutes of moderate-to-vigorous physical activity [MVPA] and daily steps) and guide future recommendations for improved intervention effectiveness. OBJECTIVE This study examined weekly patterns of adherence to steps-based and minutes-based PA goals and self-monitoring behavior during a 6-month online behavioral weight loss intervention. METHODS Participants were prescribed weekly PA goals for steps (7,000 to 10,000 steps/day) and minutes of MVPA (50 to 200 minutes/week) as part of a lifestyle program. Goals gradually increased during the initial 2 months, followed by 4 months of fixed goals. PA was self-reported daily on the study website. For each week, participants were categorized as “adherent” if they self-monitored their PA and met the program PA goal, “suboptimally adherent” if they self-monitored but did not meet the program goal, or “nonadherent” if they did not self-monitor. The probability of transitioning into a less adherent status was examined using multinomial logistic regression. RESULTS Individuals (N=212) were predominantly middle-aged females with obesity, and 31.6% self-identified as a racial/ethnic minority. Initially, 34.4% were categorized as “adherent” to steps-based goals (51.9% “suboptimally adherent” and 13.7% “nonadherent”), and there was a high probability of either remaining “suboptimally adherent” from week-to-week or transitioning to a “nonadherent” status. On the other hand, 70.3% of individuals started out “adherent” to minutes-based goals (16.0% “suboptimally adherent” and 13.7% “nonadherent”), with “suboptimally adherent” seen as the most variable status. During the graded goal phase, individuals were more likely to transition to a less adherent status for minutes-based goals (OR 1.39, 95% CI 1.31-1.48) compared to steps-based goals (OR 1.24, 95% CI 1.17-1.30); however, no differences were seen during the fixed goal phase (minutes-based goals: OR 1.06, 95% CI 1.05, 1.08 versus steps-based goals: OR 1.07, 95% CI 1.05, 1.08). CONCLUSIONS States of vulnerability to poor PA adherence can emerge rapidly and early in obesity treatment. There is a window of opportunity within the initial two months to bring more people towards “adherent” behavior, especially those who fail to meet the prescribed goals but engage in self-monitoring. While this study describes the probability of adhering to steps-based and minutes-based targets, it will be prudent to determine how individual characteristics and contextual states relate to these behavioral patterns, which can inform how best to adapt interventions. CLINICALTRIAL This study was a secondary analysis of a pre-registered randomized trial (Trial Registration: ClinicalTrials.gov NCT02688621).

scholarly journals The Tracking Study: description of a randomized controlled trial of variations on weight tracking frequency in a behavioral weight loss program

2015 ◽  
Vol 40 ◽  
pp. 199-211 ◽  
Author(s):  
Jennifer A. Linde ◽  
Robert W. Jeffery ◽  
Scott J. Crow ◽  
Kerrin L. Brelje ◽  
Carly R. Pacanowski ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Weight Loss Program ◽  
Behavioral Weight Loss ◽  
Randomized Controlled

scholarly journals Comparing Self-Monitoring Strategies for Weight Loss in a Smartphone App: Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Michele L Patel ◽  
Christina M Hopkins ◽  
Taylor L Brooks ◽  
Gary G Bennett
Keyword(s):  
Weight Loss ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Mobile App ◽  
Self Report ◽  
Smartphone App ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Randomized Controlled

BACKGROUND Self-monitoring of dietary intake is a valuable component of behavioral weight loss treatment; however, it declines quickly, thereby resulting in suboptimal treatment outcomes. OBJECTIVE This study aimed to examine a novel behavioral weight loss intervention that aims to attenuate the decline in dietary self-monitoring engagement. METHODS GoalTracker was an automated randomized controlled trial. Participants were adults with overweight or obesity (n=105; aged 21-65 years; body mass index, BMI, 25-45 kg/m2) and were randomized to a 12-week stand-alone weight loss intervention using the MyFitnessPal smartphone app for daily self-monitoring of either (1) both weight and diet, with weekly lessons, action plans, and feedback (Simultaneous); (2) weight through week 4, then added diet, with the same behavioral components (Sequential); or (3) only diet (App-Only). All groups received a goal to lose 5% of initial weight by 12 weeks, a tailored calorie goal, and automated in-app reminders. Participants were recruited via online and offline methods. Weight was collected in-person at baseline, 1 month, and 3 months using calibrated scales and via self-report at 6 months. We retrieved objective self-monitoring engagement data from MyFitnessPal using an application programming interface. Engagement was defined as the number of days per week in which tracking occurred, with diet entries counted if ≥800 kcal per day. Other assessment data were collected in-person via online self-report questionnaires. RESULTS At baseline, participants (84/100 female) had a mean age (SD) of 42.7 (11.7) years and a BMI of 31.9 (SD 4.5) kg/m2. One-third (33/100) were from racial or ethnic minority groups. During the trial, 5 participants became ineligible. Of the remaining 100 participants, 84% (84/100) and 76% (76/100) completed the 1-month and 3-month visits, respectively. In intent-to-treat analyses, there was no difference in weight change at 3 months between the Sequential arm (mean −2.7 kg, 95% CI −3.9 to −1.5) and either the App-Only arm (−2.4 kg, −3.7 to −1.2; P=.78) or the Simultaneous arm (−2.8 kg, −4.0 to −1.5; P=.72). The median number of days of self-monitoring diet per week was 1.9 (interquartile range [IQR] 0.3-5.5) in Sequential (once began), 5.3 (IQR 1.8-6.7) in Simultaneous, and 2.9 (IQR 1.2-5.2) in App-Only. Weight was tracked 4.8 (IQR 1.9-6.3) days per week in Sequential and 5.1 (IQR 1.8-6.3) days per week in Simultaneous. Engagement in neither diet nor weight tracking differed between arms. CONCLUSIONS Regardless of the order in which diet is tracked, using tailored goals and a commercial mobile app can produce clinically significant weight loss. Stand-alone digital health treatments may be a viable option for those looking for a lower intensity approach. CLINICALTRIAL ClinicalTrials.gov NCT03254953; https://clinicaltrials.gov/ct2/show/NCT03254953 (Archived by WebCite at http://www.webcitation.org/72PyQrFjn).

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