Abstract P118: Changes in Physical Activity by Self-Weighing Trajectory Groups

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Yaguang Zheng ◽  
Susan M Sereika ◽  
Linda J Ewing ◽  
Cynthia A Danford ◽  
Bonny Rockette-Wagner ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Lifestyle Changes ◽  
Future Research ◽  
Behavior Changes ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Consistent Group ◽  
Behavioral Weight Loss Intervention ◽  
Average Activity

Introduction: Numerous studies have established a significant association between regular self-weighing and weight loss; however, few studies have examined how self-weighing patterns are associated with lifestyle changes, e.g. physical activity (PA). The aim was to examine the association between frequency of self-weighing and changes in PA levels. Hypothesis: We hypothesized that higher frequencies of self-weighing are associated with greater increases in PA levels. Methods: This was an analysis of data from a 12-mo behavioral weight loss intervention study. Each subject was given a Wi-Fi scale and instructed to weigh daily. The scale transmitted weight values to a central server. PA was objectively assessed by an accelerometer (ActiGraph GT3x) at 0 and 6 mos. Participants were instructed to wear the accelerometer for ≥ 3 weekdays, one weekend day, ≥10 hours/day. General linear model was used for data analysis. Results: The sample (N=89) was largely female (89.9%), White (82%), with a mean age (±SD) of 51.9±9.3 years, and a mean BMI of 33.6±4.5 kg/m2. Our previous analysis using group-based trajectory modeling identified 3 self-weighing patterns: high/consistent (self-weighed 5-6 days/week regularly); moderate/declined (declined from 4-5 to 2 days/week); minimal/declined (declined from 5-6 to 0 days/week). As shown in the table, compared with minimal/declined self-weighing group, the high/consistent group had a significant increase in energy expenditure, steps, light and moderate PA levels as well as average activity/day, while the moderate/declined group had a significant increase in steps and average activity/day. Conclusions: The differences in PA level changes across the trajectory groups suggest that improved adherence to self-weighing carried over to improved PA behavior changes. It is unclear if self-monitoring weight and observing the results led participants to regulate their PA behavior accordingly. Future research needs to examine the mechanisms of how daily weighing impacts the level of daily PA.

scholarly journals Defining Valid Activity Monitor Data: A Multimethod Analysis of Weight-Loss Intervention Participants’ Barriers to Wear and First 100 Days of Physical Activity

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 39
Author(s):  
Stephanie L. Orstad ◽  
Lauren Gerchow ◽  
Nikhil R. Patel ◽  
Meghana Reddy ◽  
Christina Hernandez ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Low Income ◽  
Activity Monitor ◽  
Accelerometer Data ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Behavioral Weight Loss Intervention ◽  
Monitor Data

Despite the popularity of commercially available wearable activity monitors (WAMs), there is a paucity of consistent methodology for analyzing large amounts of accelerometer data from these devices. This multimethod study aimed to inform appropriate Fitbit wear thresholds for physical activity (PA) outcomes assessment in a sample of 616 low-income, majority Latina patients with obesity enrolled in a behavioral weight-loss intervention. Secondly, this study aimed to understand intervention participants’ barriers to Fitbit use. We applied a heart rate (HR) criterion (≥10 h/day) and a step count (SC) criterion (≥1000 steps/day) to 100 days of continuous activity monitor data. We examined the prevalence of valid wear and PA outcomes between analytic subgroups of participants who met the HR criterion, SC criterion, or both. We undertook qualitative analysis of research staff notes and participant interviews to explore barriers to valid Fitbit data collection. Overall, one in three participants did not meet the SC criterion for valid wear in Weeks 1 and 13; however, we found the SC criterion to be more inclusive of participants who did not use a smartphone than the HR criterion. Older age, higher body mass index (BMI), barriers to smartphone use, device storage issues, and negative emotional responses to WAM-based self-monitoring may predict higher proportions of invalid WAM data in weight-loss intervention research.

The Impact of Self-monitoring of Blood Glucose on a Behavioral Weight Loss Intervention for Patients With Type 2 Diabetes

2012 ◽  
Vol 39 (3) ◽  
pp. 397-405 ◽  
Author(s):  
Lisa M. McAndrew ◽  
Melissa A. Napolitano ◽  
Leonard M. Pogach ◽  
Karen S. Quigley ◽  
Kerri Leh Shantz ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Blood Glucose ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Behavioral Weight Loss Intervention ◽  
The Impact

Discrepancies Between Clinician and Participant Intervention Adherence Ratings Predict Percent Weight Change During a Six-Month Behavioral Weight Loss Intervention

2021 ◽  
Vol 11 (4) ◽  
pp. 1006-1014
Author(s):  
Michael P Berry ◽  
Elisabeth M Seburg ◽  
Meghan L Butryn ◽  
Robert W Jeffery ◽  
Melissa M Crane ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Weight Control ◽  
Calorie Intake ◽  
Behavioral Weight Loss ◽  
Weight Loss Treatment ◽  
Self Monitoring ◽  
Weight Control Behaviors ◽  
Behavioral Weight Loss Intervention ◽  
Behavioral Weight Loss Treatment

Abstract Background Individuals receiving behavioral weight loss treatment frequently fail to adhere to prescribed dietary and self-monitoring instructions, resulting in weight loss clinicians often needing to assess and intervene in these important weight control behaviors. A significant obstacle to improving adherence is that clinicians and clients sometimes disagree on the degree to which clients are actually adherent. However, prior research has not examined how clinicians and clients differ in their perceptions of client adherence to weight control behaviors, nor the implications for treatment outcomes. Purpose In the context of a 6-month weight-loss treatment, we examined differences between participants and clinicians when rating adherence to weight control behaviors (dietary self-monitoring; limiting calorie intake) and evaluated the hypothesis that rating one’s own adherence more highly than one’s clinician would predict less weight loss during treatment. Methods Using clinician and participant-reported measures of self-monitoring and calorie intake adherence, each assessed using a single item with a 7- or 8-point scale, we characterized discrepancies between participant and clinician adherence and examined associations with percent weight change over 6 months using linear mixed-effects models. Results Results indicated that ratings of adherence were higher when reported by participants and supported the hypothesis that participants who provided higher adherence ratings relative to their clinicians lost less weight during treatment (p < 0.001). Conclusions These findings suggest that participants in weight loss treatment frequently appraise their own adherence more highly than their clinicians and that participants who do so to a greater degree tend to lose less weight.

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).

Abstract P338: Adults With Obstructive Sleep Apnea Have Lower Adherence to Weight Loss Behaviors in a Behavioral Weight Loss Intervention

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Christopher E Kline ◽  
Lora E Burke ◽  
Yaguang Zheng ◽  
Susan M Sereika ◽  
Christopher C Imes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Caloric Intake ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Obstructive Sleep ◽  
Behavioral Weight Loss Intervention ◽  
Lower Adherence

Introduction: Obesity is a primary risk factor for obstructive sleep apnea (OSA), and weight loss is a common recommendation for adults with OSA. However, we previously found that adults with OSA lost less weight than those without OSA during a 12-month behavioral weight loss intervention. The potential mechanisms underlying the blunted weight loss among those with OSA are currently unclear; however, one potential explanation may be lower adherence to the intervention and its prescribed behaviors. Purpose: These analyses examined whether measures of adherence to a behavioral weight loss intervention differed between adults with and without OSA. Methods: The sample was comprised of adults who were overweight or obese (N=114; 50.4±10.5 y, body mass index [BMI]: 34.0±4.6 kg/m 2 ; 90.4% female, 82.5% white) who participated in a 12-mo behavioral weight loss intervention study. Participants wore a home sleep testing device (ResMed ApneaLink Plus) for one night at baseline (BL), 6 mo (6M), and 12 mo (12M). Those with an apnea-hypopnea index ≥ 5 were categorized as having OSA. Adherence to the intervention was assessed by: 1) attendance at group intervention sessions over 12 mo; 2) frequency of meeting daily caloric intake goals over 12 mo; 3) objectively-measured changes from BL in physical activity (steps/day, sedentary time, moderate-vigorous physical activity [MVPA]). Linear mixed models estimated the impact of OSA on these measures of intervention adherence following adjustment for sex, age, race, marital status, smoking status, and baseline BMI, while considering participant to be a random effect. Results: About half (52%) of the participants had OSA at BL, while 41 % had OSA at 6M. Attendance at group sessions did not differ between those with and without OSA over 12 mo (74.5 vs. 75.7%; P=.72). However, adults with OSA met their caloric intake goal less frequently than those without OSA (25.2 vs. 34.8%; P=.006), and adults with OSA increased their steps/day (+378.3 vs. 1060.1; P=.047) and MVPA min/day (+2.1 vs. +6.4; P=.056) less than those without OSA. Reductions in sedentary behavior (min/day) did not differ between those with and without OSA (-7.1 vs. -9.1; P=.81). Conclusions: These data suggest that the blunted weight loss observed among adults with OSA may be at least partially attributable to lower levels of adherence to prescribed goals for caloric intake and physical activity. Additional strategies (e.g., OSA screening and treatment referral, supplemental sessions on diet and MVPA) may be needed to achieve improved adherence to the lifestyle behaviors that lead to weight loss among adults with OSA.

12 Month Behavioral Weight Loss Intervention With Varying Doses Of Physical Activity

2016 ◽  
Vol 48 ◽  
pp. 155
Author(s):  
Renee J. Rogers ◽  
Erik B. Schelbert ◽  
Bethany Barone Gibbs ◽  
Meghan R. McGuire ◽  
Seth A. Creasy ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention

scholarly journals Effects of Dietary Self-Monitoring, Physical Activity, Liraglutide 3.0 mg, and Placebo on Weight Loss in the SCALE IBT Trial

Obesity Facts ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 572-583
Author(s):  
Jena S. Tronieri ◽  
Anthony N. Fabricatore ◽  
Thomas A. Wadden ◽  
Pernille Auerbach ◽  
Lars Endahl ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Controlled Trial ◽  
Lifestyle Changes ◽  
Weight Changes ◽  
Medication Regimen ◽  
Self Monitoring ◽  
Multicenter Randomized Controlled Trial ◽  
Physical Activity Recommendations ◽  
Activity Recommendations

<b><i>Introduction:</i></b> Individuals who enroll in intensive behavioral therapy (IBT) programs are asked to make several lifestyle changes simultaneously. However, few studies have examined the relative effects of adherence to different treatment components on weight loss. <b><i>Objective:</i></b> This secondary analysis of the SCALE IBT trial assessed adherence to the medication regimen, dietary self-monitoring, and physical activity recommendations and their relative contributions to weight change in individuals with obesity who were provided with IBT combined with either liraglutide 3.0 mg or placebo. <b><i>Methods:</i></b> SCALE IBT was a double-blinded, multicenter, randomized controlled trial comparing 56-week weight losses in individuals with obesity who received liraglutide 3.0 mg (<i>n</i> = 142) or placebo (<i>n</i> = 140), as an adjunct to IBT. Adherence to dietary self-monitoring, physical activity, and medication usage (liraglutide or placebo) were measured during the 56-week treatment period. A regression model was used to estimate the relative contribution of adherence to each treatment component to weight loss at week 56. <b><i>Results:</i></b> The proportion of individuals who adhered to each intervention component decreased over time. Compared with non-adherence, complete adherence to dietary self-monitoring and physical activity recommendations were associated with estimated weight changes of −7.2% (95% CI –10.4 to –4.0; <i>p</i> &#x3c; 0.0001) and –2.0% (95% CI –3.2 to –0.8; <i>p</i> = 0.0009), respectively. Complete adherence to liraglutide predicted an additional weight loss of –6.5% (95% CI –10.2 to –2.9; <i>p</i> = 0.0005) relative to individuals who did not adhere to the medication regimen, while adherence to placebo did not have a statistically significant effect on weight loss (<i>p</i> = 0.33). <b><i>Conclusions:</i></b> High adherence to dietary self-monitoring and use of liraglutide 3.0 mg was associated with clinically relevant weight loss with IBT and adjunctive pharmacotherapy. The effect of adherence to physical activity was significant but smaller.

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