scholarly journals Subjective Experiences of Physical Activity and Forecasting Bias During Behavioral Weight Loss

2021 ◽  
Author(s):  
Nicole T. Crane ◽  
Mary K. Martinelli ◽  
Evan M. Forman ◽  
Meghan L. Butryn
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Behavioral Weight Loss ◽  
Subjective Experiences

scholarly journals The association between negative affect and physical activity among adults in a behavioral weight loss treatment

2020 ◽  
Vol 47 ◽  
pp. 101507 ◽  
Author(s):  
Stephanie G. Kerrigan ◽  
Leah Schumacher ◽  
Stephanie M. Manasse ◽  
Caitlin Loyka ◽  
Meghan L. Butryn ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Negative Affect ◽  
Behavioral Weight Loss ◽  
Weight Loss Treatment ◽  
Behavioral Weight Loss Treatment

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 Physical Activity Enhancement to a Behavioral Weight Loss Program for Severely Obese Individuals: A Preliminary Investigation

ISRN Obesity ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Jessica L. Unick ◽  
Kevin C. O'Leary ◽  
Dale S. Bond ◽  
Rena R. Wing
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Preliminary Investigation ◽  
Weight Loss Program ◽  
Behavioral Weight Loss ◽  
Severely Obese ◽  
Vigorous Intensity ◽  
Activity Enhancement ◽  
The Difference

Severe obesity is characterized by low physical activity (PA) and interventions to enhance PA are needed. Participants (45.0 ± 3.9 kg/m2) were randomized to a 6-month standard behavioral weight loss program (SBWL; n = 14) or SBWL+technology (SBWL+TECH; n = 15). Both groups received identical SBWL treatment and SBWL+TECH also received a wearable PA monitor, providing “real-time” feedback, and website access to monitor energy balance. 6-month retention was similar between groups (SBWL: 12/13 versus SBWL+TECH: 11/14 completers; P = 0.19) and adherence to wearing the armband was excellent (91.3% of days). Although differences in PA between groups did not meet conventional thresholds of significance, SBWL+TECH increased their moderate-to-vigorous intensity PA by 132.9 ± 216.8 min/week, which was 3 times greater than SBWL (44.8 ± 124.3 min/week; P = 0.27; Cohen’s d = 0.50). There was a trend for SBWL+TECH to self-monitor for a greater proportion of days compared to SBWL (86.2 ± 21.4% versus 71.5 ± 19.4%; P = 0.098; Cohen’s d = 0.72). The difference in weight loss between groups was modest (SBWL+TECH: −10.0 ± 7.1% versus SBWL: −7.8 ± 6.7%; P = 0.46). These preliminary findings suggest that PA monitors may be one strategy for increasing PA among the severely obese. Larger, long-term trials are needed.

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 Changes in Dietary Intake with Varying Doses of Physical Activity Within a Weight Loss Intervention: The Heart Health Study

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1759-1759
Author(s):  
Carli Liguori ◽  
Renee Rogers ◽  
John Jakicic
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Dietary Intake ◽  
Health Study ◽  
High Dose ◽  
Fat Intake ◽  
Weight Loss Intervention ◽  
Behavioral Weight Loss ◽  
Behavioral Weight Loss Intervention ◽  
Successful Weight Loss

Abstract Objectives Successful weight loss interventions often require a multipronged approach. The need for interventions that incorporate both physical activity and dietary methodologies is apparent. The present study aimed to assess whether there were differential effects on dietary change within the context of a behavioral weight loss intervention that included different doses of physical activity. Methods Participants (N = 383; Age = 44.7 ± 8.2 years, BMI = 32.4 ± 3.8 kg/m2) were randomized to a reduced calorie diet (DIET, N = 127), diet plus a moderate dose of physical activity (MOD-EX, N = 129), or diet plus a high dose of physical activity (HIGH-EX, N = 127). All groups received weekly in-person intervention sessions for months 1–6, with combined in-person and telephonic sessions for months 7–12. Diet was prescribed at 1200–1800 kcal/day. MOD-EX was prescribed physical activity that progressed to 150 min/wk and HIGH-EX progressed to 250 min/wk. Physical activity, weight, and dietary intake were assessed. Dietary intake was assessed using the DHQII questionnaire. Results Retention at 12 months was 86.6% in DIET, 80.6% in MOD-EX, and 83.5% in HIGH-EX. Physical activity at 0 and 12 months was 65.4 ± 73.8 and 88.2 ± 104.3 min/wk in DIET; 68.7 ± 93.8 and 179.1 ± 125.3 min/wk in MOD-EX; and 71.5 ± 84.4 and 228.8 ± 148.3 min/wk in HIGH-EX (Group X Time P < 0.001). Weight decreased at 12 months (DIET: −9.9 ± 8.3 kg, MOD-EX: −10.8 ± 8.2 kg, HIGH-EX: −9.5 ± 7.3 kg) (P < 0.001), with no difference between groups. Energy intake decreased from baseline in all groups (6 mo: −495 ± 25.8 kcal/day, 12 mo: −502 ± 25.0 kcal/day) (P < 0.001). Percent dietary fat intake decreased (6 mo: −5.0 ± 0.4%, 12 mo: −3.8 ± 0.4%) (P < 0.001), whereas there was a non-significant increase in % carbohydrate intake (6 mo: 3.5 ± 0.4%, 12 mo: 3.0 ± 0.5%) and % protein intake (6 mo: 1.3 ± 0.2%, 12 mo: 1.0 ± 0.2%), with no difference between groups. Conclusions Weight loss was observed in all the interventions and physical activity did not enhance the weight loss that was observed. Also, the changes in diet that included reducing calories and fat intake were not impacted by the addition of physical activity. These findings have implications for interventions for weight loss in adults with obesity. Funding Sources National Institutes of Health.

scholarly journals Weight-Related Information Avoidance Prospectively Predicts Poorer Self-Monitoring and Engagement in a Behavioral Weight Loss Intervention

2020 ◽  
Author(s):  
Leah M Schumacher ◽  
Mary K Martinelli ◽  
Alexandra D Convertino ◽  
Evan M Forman ◽  
Meghan L Butryn
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Weight ◽  
Treatment Engagement ◽  
Treatment Discontinuation ◽  
Behavioral Weight Loss ◽  
Self Monitoring ◽  
Information Avoidance ◽  
Related Information ◽  
Session Attendance

Abstract Background Self-monitoring is a key component of behavioral weight loss (BWL) interventions. Past research suggests that individuals may avoid self-monitoring in certain contexts (e.g., skipping self-weighing after higher-than-usual calorie intake). However, no studies have attempted to quantify individuals’ inclination to avoid information about their weight control (“weight-related information avoidance”; WIA) or prospectively examined its implications for treatment engagement and outcomes in BWL programs. Purpose Characterize WIA using a validated questionnaire among adults enrolled in BWL treatment and examine whether WIA prospectively predicts self-monitoring adherence, session attendance, treatment discontinuation, or weight loss. Methods Participants (N = 87; MBMI = 34.9 kg/m2, 83% female) completed a measure of WIA prior to starting a 12 week, group-based BWL intervention. Participants were given digital self-monitoring tools and instructed to self-monitor their food intake daily, physical activity daily, and body weight weekly (Weeks 1–10) and then daily (Weeks 11–12). Session attendance and treatment discontinuation were recorded. Weight was measured in-clinic pretreatment and posttreatment. Results While mean WIA was low (M = 2.23, standard deviation [SD] = 0.95; potential scale range: 1–7), greater WIA predicted poorer attendance (r = −.23; p = .03) and poorer self-monitoring of physical activity (r = −.28; p = .009) and body weight (r = −.32; p = .003). WIA did not predict food monitoring (p = .08), treatment discontinuation (p = .09), or 12 week weight loss (p = .91). Conclusions Greater WIA, as assessed via a brief questionnaire, may place individuals at risk for poorer self-monitoring and treatment engagement during BWL. Further research on the implications of WIA in the context of weight management is warranted, including evaluation of correlates, moderators, and mechanisms of action of WIA. Clinical Trial Registration NCT03337139.

Sign in / Sign up

Export Citation Format

Share Document