Dynamic associations between anxiety, stress, physical activity, and eating regulation over the course of a behavioral weight loss intervention.

Negative emotional experiences are associated with dysregulated eating behaviors that impede weight management. While weight loss interventions promote physical activity and self-regulation of eating, no studies have examined how physical activity may directly influence eating by attenuating associations between negative emotions and eating. OBJECTIVE: The current study examined how momentary negative emotions (stress and anxiety), moderate-to-vigorous intensity physical activity (MVPA), and their interactions predict eating dysregulation (i.e., intensity of eating temptations, inability to resist eating tempting foods, overeating), as well as how these associations change during a weight loss intervention. METHODS: Women with overweight/obesity (N = 55) completed 14-day ecological momentary assessment (EMA) protocols with objective measurement of physical activity (i.e., bout-related MVPA time) before and after a three-month internet-based weight loss program. RESULTS: Three-way interactions emerged predicting overeating and eating tempting foods. When women experienced higher than usual levels of momentary anxiety or stress at end-of-treatment, they were less likely to subsequently overeat or eat tempting foods when they had recently engaged in more MVPA (relative to their usual level). No significant associations were found for ratings of temptation intensity. CONCLUSIONS: Findings suggest MVPA may exert direct effects on eating regulation. Specifically, MVPA appears to increasingly buffer the effect of negative emotional states on dysregulated eating behavior over the course of a weight loss intervention. Future work is needed to develop ways of communicating to patients how activity can have both indirect and direct effects on body weight, and examine whether such knowledge improves outcomes.

Intuitive eating buffers the link between internalized weight stigma and body mass index in stressed adults.

Internalized weight stigma (IWS) is independently associated with less intuitive eating (i.e., eating based on endogenous hunger/satiety cues) and higher Body Mass Index (BMI), and intuitive eating training is commonly conceptualized as protective against the effects of IWS on poor behavioral health. The 3-way relationship between IWS, intuitive eating, and BMI has yet to be examined, and it is unclear whether the link between IWS and BMI is buffered by high intuitive eating. This secondary preliminary analysis examined baseline data of stressed adults with poor diet (N = 75, 70% female, 64.1% White, 42.7% with overweight/obesity) in a parent clinical trial that tested the effects of yoga on diet and stress. Validated self-report surveys of IWS and intuitive eating were analyzed with objectively-assessed BMI. Moderated regression analyses using the SPSS PROCESS macro tested whether intuitive eating moderated the IWS-BMI link. The analysis revealed IWS was positively associated with BMI except among people with high intuitive eating. Results extend observational findings linking intuitive eating to lower BMI, and offer preliminary support for the hypothesis that this link may hold even among those with greater IWS. It's possible that individuals with lower BMI and greater IWS may gravitate more towards intuitive eating than those with greater BMI, and/or intuitive eating may be an important target for ameliorating the adverse association of IWS with behavioral and physical health indicators linked to BMI. Continued work is warranted in larger, more generalizable samples using causal and prospective designs.

Momentary affective response to bouts of moderate-to-vigorous physical activity predicts changes in physical activity and sedentary behavior during behavioral weight loss.

BACKGROUND: Affective responses are posited to be key predictors of the uptake and maintenance of health behaviors. However, few studies have examined how individuals' affective response to physical activity, as well as the degree to which their affect response changes, may predict changes in physical activity and sedentary time during behavioral weight loss treatment. PURPOSE: The current study examined how baseline momentary affective response (i.e., stress and anxiety) to moderate-to-vigorous physical activity (MVPA) and the degree of pre--post intervention change in this response predicted change in daily sedentary, light, and MVPA time during a three-month internet-based weight loss program. METHODS: Women with overweight/obesity (final N=37) completed 14-day ecological momentary assessment (EMA) protocols with objective measurement of physical activity (i.e., bout-related MVPA time) before and after the intervention. RESULTS: Women who had more reinforcing responses to MVPA (i.e., greater reductions in anxiety and stress response following MVPA bouts) at baseline had greater increases in overall MVPA at the end of the intervention. Those who had greater anxiety reductions after MVPA bouts at baseline also evidenced less sedentary time at the end of the intervention. Changes in affective responses across the intervention were not related to changes in physical activity levels. CONCLUSIONS: Findings suggest initial levels of affective reinforcement from MVPA bouts predict future change in MVPA and sedentary time during behavioral weight loss. Future work is needed to examine the utility of more precisely targeting affective responses to physical activity to optimize intervention approaches.

Associations between naturalistically assessed physical activity patterns, affect, and eating in youth with overweight and obesity.

Insufficient physical activity (PA) and excessive stationary behavior (SB) are contributors to pediatric obesity, though antecedents and consequences of these behaviors in this population are relatively unknown. This pilot study examined affect, loss of control eating (LOCE), overeating, and hunger surrounding PA and SB in 17 youth with overweight/obesity. Participants completed a 14-day ecological momentary assessment (EMA) wearing accelerometers. At the momentary level, higher negative affect and lower positive affect predicted SB increases and PA decreases following EMA prompts; higher PA and lower SB also predicted increases in positive affect. Higher LOCE predicted SB increases and PA decreases, while increases in PA and decreases in SB predicted short-term increases in LOCE and overeating. At the individual level, higher SB and lower PA were related to lower positive affect and higher negative affect, LOCE, overeating, and hunger. Findings suggest affect is a relevant antecedent and consequence of PA/SB, and dysregulated eating may acutely impact PA/SB.

Initial Weight Loss Response as an Indicator for Providing Early Rescue Efforts to Improve Long-term Treatment Outcomes.

PURPOSE OF REVIEW: There is a large variability in response to behavioral weight loss (WL) programs. Reducing rates of obesity and diabetes may require more individuals to achieve clinically significant WL post-treatment. Given that WL within the first 1-2 months of a WL program is associated with long-term WL, it may be possible to improve treatment outcomes by identifying and providing additional intervention to those with poor initial success (i.e., "early non-responders"). We review the current literature regarding early non-response to WL programs and discuss how adaptive interventions can be leveraged as a strategy to "rescue" early non-responders. RECENT FINDINGS: Preliminary findings suggest that adaptive interventions, specifically stepped care approaches, offer promise for improving outcomes among early non-responders. Future studies need to determine the optimal time point and threshold for intervening and the type of early intervention to employ. Clinicians and researchers should consider the discussed factors when making treatment decisions.

Objectively-assessed physical activity and weight change in young adults: a randomized controlled trial.

BACKGROUND: Reductions in physical activity (PA) are common throughout young adulthood and low PA is associated with weight gain. The SNAP Trial previously reported that two self-regulation approaches to weight gain prevention reduced weight gain over a 2-year period in 18-35 year olds. Presented here are secondary analyses examining changes in PA and the relationship between PA and weight change over 2 years. METHODS: 599 young adults (age: 27.4 ± 4.4 yrs.; BMI: 25.4 ± 2.6 kg/m2) were randomly assigned to 1 of 3 treatment arms: Small Changes (reduce calorie intake by 100 kcals/day & add 2000 steps/day), Large Changes (lose 2.3-4.5 kg initially & increase PA to ≥250 min/wk), or Self-guided (control condition). Small and Large Changes received 10, face-to-face group sessions (months 1-4), and two 4-week refresher courses each subsequent year. Body weight and PA were objectively-measured at baseline, 4 months, 1 and 2 years. Daily steps and bout-related moderate-to-vigorous intensity PA (MVPA: ≥3 METs, ≥10-min bouts) was calculated. RESULTS: Changes in bout-related MVPA and daily steps did not differ among treatment groups over the 2-year period (p's > 0.16). Collapsed across groups, participants gaining >1 lb. (n = 187; 39.6%) had smaller changes in bout-related MVPA at 4 months, 1 and 2 years relative to those maintaining or losing weight (≤1 lb. weight gain; n = 282, 60.4%, p's < 0.05). Averaged across time points, this difference equated to 47.8 min/week. Those gaining and not gaining >1 lb. did not differ on daily steps (p's > 0.10). Among participants engaging in ≥250 min/wk. of MVPA at 2 years (n = 181), 30% gained >1 lb. from baseline to 2 years, which was not different from those engaging in 150-250 min/wk. (n = 87; 36%; p = 0.40), but this percentage was significantly lower when compared to those engaging in <150 min/wk. (n = 176; 49%; p < 0.001). CONCLUSIONS: On average, PA differences were not observed between young adults assigned to small or large changes self-regulation interventions to prevent weight gain. Regardless of group assignment, higher levels of MVPA were associated with better weight gain prevention over 2 years. Our data suggest that achieving >150 min/week of MVPA is needed for weight gain prevention and that increasing MVPA, rather than steps, should be targeted. TRIAL REGISTRATION: www.clinicaltrials.gov (NCT01183689). Registered Aug 13, 2010.

A preliminary investigation into whether early intervention can improve weight loss among those initially non-responsive to an internet-based behavioral program.

This study examined whether providing additional support to individuals with poor initial weight loss improves 12-week outcomes. Participants were randomized to a 12-week internet-delivered behavioral weight loss program (IBWL; n = 50) or the identical internet program plus the possibility of extra support (IBWL + ES; n = 50). IBWL + ES participants losing <2.3% at Week 4 (early non-responders; n = 12) received one individual meeting and two follow-up phone calls with an interventionist, and were compared to IBWL 'early non-responders' who did not receive extra support (n = 21), and to 'early responders' in both treatment arms (i.e., 4-week weight loss ≥2.3%; n = 59). IBWL + ES early non-responders had greater program adherence (p's < 0.055) and lost twice as much weight (p = 0.036) compared to IBWL early non-responders. Program adherence did not differ between early responders and IBWL + ES early non-responders. However, 12-week weight loss was greater in the early responders compared to both early non-responder groups (p's > 0.05). Providing additional intervention to early non-responders in an Internet program improves treatment outcomes.

Consistency in compensatory eating responses following acute exercise in inactive, overweight and obese women.

It is often assumed that some individuals reliably increase energy intake (EI) post-exercise ('compensators') and some do not ('non-compensators'), leading researchers to examine the characteristics that distinguish these two groups. However, it is unclear whether EI post-exercise is stable over time. The present study examined whether compensatory eating responses to a single exercise bout are consistent within individuals across three pairs of trials. Physically inactive, overweight/obese women (n 28, BMI 30·3 (SD 2·9) kg/m²) participated in three pairs of testing sessions, with each pair consisting of an exercise (30 min of moderate-intensity walking) and resting testing day. EI was measured using a buffet meal 1 h post-exercise/rest. For each pair, the difference in EI (EIdiff = EIex - EIrest) was calculated, where EIex is the EI of the exercise session and EIrest is the EI of the resting session, and women were classified as a 'compensator' (EIex > EIrest) or 'non-compensator' (EIex ≤ EIrest). The average EI on exercise days (3328·0 (SD 1686·2) kJ) was similar to those on resting days (3269·4 (SD 1582·4) kJ) (P= 0·67). Although EI was reliable within individuals across the three resting days (intraclass correlation coefficient (ICC) 0·75, 95 % CI 0·60, 0·87; P< 0·001) and three exercise days (ICC 0·83, 95 % CI 0·70, 0·91; P< 0·001), the ICC for EIdiff across the three pairs of trials was low (ICC 0·20, 95 % CI -0·02, 0·45; P= 0·04), suggesting that compensatory eating post-exercise is not a stable construct. Moreover, the classification of 'compensators'/'non-compensators' was not reliable (κ = -0·048; P= 0·66). The results were unaltered when 'relative' EI was used, which considers the energy expenditure of the exercise/resting sessions. Acute compensatory EI following an exercise bout is not reliable in overweight women. Seeking to understand what distinguishes 'compensators' from 'non-compensators' based on a single eating episode post-exercise is not justified.

Examination of the Consistency in Affective Response to Acute Exercise in Overweight and Obese Women.

This study examined whether inactive, overweight/obese women experience consistent affective responses to moderate-intensity exercise. Twenty-eight women participated in 3 identical (same treadmill grade and speed within a subject) 30-min exercise sessions. The Feeling Scale (FS), Positive and Negative Affect Schedule and Subjective Exercise Experience Scale were administered pre- and postexercise and FS was also administered every 5 min during exercise. All measures exhibited less than optimal agreement in pre-to-postexercise change within an individual across the 3 sessions (ICCs = 0.02-0.60), even after controlling for within-subject variations in heart rate. Only FS exhibited "good" consistency when controlling for preexercise values (ICC = 0.72). However, the mean FS score during exercise was highly consistent within an individual (ICC = 0.83). Thus, an individual's affective response to an exercise session does not provide reliable information about how they will respond to subsequent exercise sessions. Taking the average of FS measurements during exercise may yield more consistent findings.

Perceived delivery of essential yoga properties within in-person and remote weight loss maintenance interventions.

OBJECTIVES: While previous research has utilized remote delivery of yoga interventions, no research has specifically interrogated the effectiveness of remote yoga intervention delivery. In this secondary analysis of weight-maintenance trial data, we examined participant perceptions of essential yoga properties across in-person and remote formats, hypothesizing that perceptions would not differ following remote delivery. METHODS: 24 women with overweight or obesity (34.6±4.1 kg/m2, 48.2±9.9 years) received a 12-week Iyengar yoga intervention (2x/week) following a 3-month behavioral weight loss program. Of 23 participants who completed follow-up questionnaires, 12 received the planned in-person intervention and 11 received a remote intervention (delivered live) due to the COVID-19 pandemic. The Essential Properties of Yoga Questionnaire (EPYQ) was completed online by participants and by the instructors to measure the perceptions of the relative emphasis placed on the essential components of the yoga intervention via 14 subscales. Linear regression models were used to compare perceptions of each EPYQ dimension across in-person and remote delivery methods, as well as between participants and instructors, independent of delivery method. RESULTS: 13 of the 14 subscales did not differ between delivery modalities (p>0.05). Participants perceived more individual attention within in-person yoga (p = 0.003). For both delivery methods, instructors perceived breathwork, restorative postures, and body locks to be incorporated to a lesser degree compared to participants (ß = -1.28, p = 0.003; ß = -1.57, p = 0.019; ß = -1.39, p = 0.036; respectively). No other significant differences across the participant and instructor scores were observed. CONCLUSIONS: Findings provide preliminary support for the use of live remote delivery of yoga, effectively communicating most essential yoga properties when compared to in-person classes. However, participants perceived more individual attention with in-person versus remote delivery; thus, future remote-based yoga interventions may benefit from providing additional individualized feedback.

Characterization of early non-responders within behavioral weight loss treatment.

Objective: Given that low early (4 weeks) weight loss (WL) predicts longer-term WL, the purpose of this study was to identify factors associated with poor early WL. Methods: 438 adults with overweight/obesity participating in an Internet-delivered behavioral WL program provided weights at baseline and 4 weeks. Participants were stratified by percent WL at 4 weeks: LOW: <2% WL, MEDIUM: 2 to <4% WL, HIGH: ≥4% WL and groups were compared on baseline variables (demographics, physical activity, and psychosocial measures) and 4-week intervention adherence. Results: 37.4%, 40.9%, and 21.7% of participants had LOW, MEDIUM, and HIGH early WL respectively. LOW was more likely to be female compared to HIGH and less likely to be non-Hispanic White compared to MEDIUM and HIGH (p's<0.05). After controlling for demographic differences, LOW had lower baseline physical activity compared to HIGH and watched fewer video lessons, self-monitored calorie intake and weight on fewer days, and were less likely to achieve the exercise goal compared to MEDIUM and HIGH (p's<0.05). Conclusion: Findings can inform future adaptive interventions which tailor treatment based upon early WL to improve WL outcomes for more individuals.

Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis.

Objective: There is substantial inter-individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer-term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit. Methods: Client charts of adults with overweight or obesity (N = 748) were analyzed. Clients were stratified into categories of weight loss at the week 4 (< and ≥2%, 3% and 4%) and final visits (< and ≥5% and 10%). Multivariate logistic regression was used to assess predictors of <5% and <10% final visit weight loss. Results: The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, p < 0.01) compared with those who did not meet the 2% threshold. Conclusions: Lower 4-week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals.

An Adaptive Telephone Coaching Intervention for Patients in an Online Weight Loss Program: A Randomized Clinical Trial.

Importance: Weight loss (WL) during the first month of a behavioral program is associated with longer-term WL. Testing of translatable and adaptive obesity programs is needed. Objective: To compare brief, extended, and no telephone coaching for individuals with suboptimal response (ie, 1-month WL <4%) within an online WL program. Design, Setting, and Participants: This randomized clinical trial with enrollment between March 2019 and April 2022 (data collection completed May 2023) was conducted at an academic research center in the US. Eligible participants included adults aged 18 to 70 years with daily access to internet and a body mass index between 25 and 45. Interventions: All participants received an automated online WL program (4 months) and WL maintenance program (8 months), consisting of video lessons, self-monitoring, and personalized feedback. Participants were randomized, such that individuals with suboptimal response received either brief telephone coaching (3 calls during weeks 5-8), extended telephone coaching (12 calls during weeks 5-16), or no coaching (control). Coaching included education, problem solving, and goal setting, and promoted engagement with the online program. Main Outcomes and Measures: The primary outcomes were percent weight change and proportion of participants achieving 5% or greater WL at 4 and 12 months. A priori hypotheses for WL were that WL for extended coaching would be greater than for brief coaching, and both extended and brief coaching would be greater than no coaching (control). A longitudinal mixed-effects model with participant-specific intercept was used to examine intervention effects on percent WL at 4 and 12 months. Secondary analyses focused on program engagement and cost/kilogram of WL. Results: The study included a total of 437 participants who reported WL at 1 month (mean [SD] age, 50.8 [11.4] years; mean [SD] BMI, 34.6 [5.0]; 305 female [69.8%] and 132 male [30.2%]) with 148 randomized to extended coaching, 143 assigned to brief coaching, and 146 assigned to the control group. Of all participants, 346 (79.2%) were considered to have a suboptimal response. WL at 4 months was significantly greater in the extended coaching group (mean [SD] WL, -7.0% [5.1%]) and brief coaching group (mean [SD] WL, -6.2% [4.7%]) vs the control group (mean [SD] WL, -4.5% [4.7%]) (P < .001). Similarly, the proportion of participants achieving 5% or greater WL at 4 months was greater in the extended coaching group (89 participants [65.9%]) and brief coaching group (77 participants [58.5%]) vs control group (46 participants [36.5%]) (P < .001). At 12 months, a similar pattern was observed for achievement of 5% WL or greater (extended coaching, 63 participants [48.1%]; brief coaching, 58 participants [45.9%]; control, 38 participants [32.8%]; P = .03). Percent WL at 12 months was significantly higher in extended coaching vs control (mean [SD] WL for extended coaching, -5.5% [6.7%]; mean [SD] WL for control, -3.9% [7.4%]; P = .03) but not for brief coaching (mean [SD] WL, -4.9% [6.1%]).Both the brief and extended coaching groups watched more lessons and self-monitored on more days compared with the control group. The cost per additional kilogram of WL, beyond that of the control group, was $50.09 for brief coaching and $92.65 for extended coaching. Conclusions and Relevance: In this randomized clinical trial testing an adaptive intervention, the provision of coaching for individuals with suboptimal response improved WL and was cost-effective; further testing in clinical settings (eg, health care systems) is warranted. Trial Registration: ClinicalTrials.gov Identifier: NCT03867981.

Bad situation, treat yourself: a qualitative exploration of the factors influencing healthy eating habits during the COVID-19 pandemic.

Purpose: To explore barriers and facilitators to healthy eating during the COVID-19 pandemic among adults enrolled in an internet-based weight loss program. Methods: Adults in an internet-delivered weight loss program were recruited to participate. Participants completed online study surveys and a semi-structured interview via telephone between June 1, 2020 and June 22, 2020. The interview included questions to explore how the COVID-19 pandemic has influenced dietary behaviors. Constant comparative analysis was used to identify key themes. Results: Participants (n = 30) were primarily female (83%) and white (87%), 54.6 ± 10.0 years old, and had a mean body mass index of 31.1 ± 4.5 kg/m2. Barriers included snacking/ease of access to food, eating as a coping mechanism, and lack of routine/planning. Facilitators included calorie control, regular routine/scheduling, and self-monitoring. General themes with eating were a change in eating out frequency or modality, cooking more, and changes in alcohol consumption. Conclusion: Eating habits among adults enrolled in a weight loss program changed during the COVID-19 pandemic. Future weight loss programs and public health recommendations should consider modifying recommendations to place increased emphasis on strategies to overcome barriers to healthy eating and promote facilitators that may help with healthy eating, particularly during unexpected circumstances or events.

Weight changes during the COVID-19 shutdown in older individuals with type 2 diabetes: the Look AHEAD Study.

OBJECTIVE: The aims of this study were as follows: 1) examine weight changes in older adults (mean age = 76 years) with type 2 diabetes and overweight or obesity during the COVID-19 shutdown; and 2) compare the behavioral and psychosocial effects of the shutdown in those who had large weight losses (>5%), those who had small weight losses (2%-5%), those who remained weight stable (±2%), or those who gained weight (>2%). METHODS: Look AHEAD (Action for Health in Diabetes) participants (N = 2544) were surveyed during the COVID-19 shutdown (2020), and they self-reported their current weight, reasons for weight change, weight-related behaviors, psychosocial measures, and negative and positive effects of the pandemic on their lives. RESULTS: Comparing self-reported weight during the COVID-19 shutdown with earlier measured weight, Look AHEAD participants lost, on average, 2.2 kg during the COVID-19 shutdown: 47% lost >2%, and only 18% gained >2% (p < 0.0001). Decreases in physical activity and increases in screen time were reported frequently in all weight-change categories. Similarly, there were few differences among the categories on standardized psychosocial measures or self-reported effects of the shutdown on participants' lives. However, when differences were seen, the most negative impact was in those who gained weight. CONCLUSIONS: Although weight loss appeared more common than weight gain during the shutdown, the weight-change groups did not differ on most psychosocial and behavioral variables.

A randomized trial examining the effect of yoga on dietary lapses and lapse triggers following behavioral weight loss treatment.

Background: Dietary lapses can hinder weight loss and yoga can improve self-regulation, which may protect against lapses. This study examined the effect of yoga on dietary lapses, potential lapse triggers (e.g., affective states, cravings, dietary temptations), and reasons for initiating eating following weight loss treatment. Methods: Sixty women with overweight/obesity (34.3 ± 3.9 kg/m2) were randomized to a 12 week yoga intervention (2x/week; YOGA) or contact-matched control (cooking/nutrition classes; CON) following a 12-week behavioral weight loss program. Participants responded to smartphone surveys (5x/day) over a 10-day period at baseline, 12, and 24 weeks to assess lapses and triggers. Results: At 24 weeks, YOGA and CON differed on several types of lapses (i.e., less eating past full, eating more than usual, loss of control when eating, self-identified overeating, difficulty stopping eating in YOGA), and YOGA was less likely to eat to feel better or in response to stress (ps < 0.05). YOGA also reported less stress and anxiety and more positive affect (ps < 0.01); dietary temptations and cravings did not differ from CON. Conclusion: Yoga resulted in fewer dietary lapses and improved affect among women with overweight/obesity following weight loss. While preliminary, findings suggest that yoga should be considered as a potential component of weight loss treatment to target dietary lapses.

Physical activity and quality of life in severely obese individuals seeking bariatric surgery or lifestyle intervention.

BACKGROUND: Given that bariatric surgery (BS) and lifestyle intervention (LI) represent two vastly different approaches to treating severe obesity, there is growing interest in whether individuals who seek BS versus LI also differ on weight-related behaviors. In the present study, we compared BS- and LI-seekers on physical activity (PA) and sedentary behaviors (SB), and examined between-group differences in health-related quality of life (HRQoL), while controlling for PA. FINDINGS: A sample of 34 LI-seekers were matched with 34 BS-seekers on gender, age, BMI, and PA monitor-daily wear time (age: 42.1±10.0 years; BMI: 45.6±6.5 kg/m2). PA and SB were assessed over a 7-day period via the SenseWear Armband (SWA). HRQoL was measured using the SF-36, with scores standardized to a population normal distribution (M=50, SD=10). Participants wore the SWA for 13.7±1.6 h/day. BS-seekers did not differ from LI-seekers on average min/d over the wear period spent in SB (641±117.1 vs. 638.4±133.4, p=0.62) or light (136.4±76.1 vs. 145.5±72.5, p=0.59) and moderate-to-vigorous (>1-min bouts=36.4±26.2 vs. 40.2±31.3, p=0.59; ≥10-min bouts=5.7±8.3 vs. 10.2±17.0, p=0.17) PA. BS-seekers reported significantly lower SF-36 physical functioning (42.4±10.9 vs. 49.0±6.8, p=0.004) and physical component summary (43.9±10.1 vs. 48.9±7.0) scores versus LI-seekers. BS-seeker group status was related to lower physical functioning (ß=0.30, p=0.009), independent of gender, age, BMI, and daily PA. CONCLUSIONS: Findings suggest that seeking BS versus LI is not related to patterns of PA or SB, and that lower subjective physical functioning is not associated with lower overall PA levels in BS-seekers.

Affective responses to exercise in overweight women: Initial insight and possible influence on energy intake.

It is unclear how exercise influences affect in overweight and obese individuals. OBJECTIVES: To examine the effect of a single exercise session on positive and negative affect and examine whether pre- to post-exercise changes in affect influence subsequent energy intake (EI). METHODS: Nineteen sedentary, overweight/obese women walked for ~40 minutes at a moderate-intensity on one day and rested for a similar duration on a separate day. Positive (PA) and negative affect (NA) were assessed pre-testing, post-testing, 60, and 120 minutes post-testing using the Positive and Negative Affect Schedule. Energy intake was determined by measuring food intake before and after a buffet meal 1-2 hours post-exercise/rest. RESULTS: For PA, the time x condition interaction was significant (p<0.05). There was a trend for those subjects with improved PA from pre to post-exercise (58%) to consume fewer calories post-exercise (524 ± 260.9 kcal) compared to post-rest (566.1 ± 303.0 kcal), while those who had a worsening or no change in PA (42%) had a higher EI following exercise (588.0 ± 233.7 kcal) compared to rest (524.6 ± 281.7 kcal; p=0.08). NA was not significantly altered by exercise. CONCLUSIONS: Some overweight/obese individuals appear to experience an increase in positive affect with exercise; however, there is a high degree of individual variability in responses that warrants further examination. This study also provides initial evidence that a worsening in affect following exercise may unfavorably impact eating behaviors. These preliminary findings have the potential to enhance our understanding of factors mediating the relationship between exercise and EI.

Behaviors and psychological states associated with transitions from regaining to losing weight.

OBJECTIVE: Little is known about week-to-week recovery from regains following a behavioral weight loss intervention (BWLI). This study examined changes in behaviors, cognitions, and moods associated with transitioning from weight regain to weight loss during the nine-month weight loss maintenance period after a three-month Internet-based BWLI. METHOD: Participants (n = 68) self-weighed daily via "smart" scales and answered 40 weekly questionnaires about their weight-related behaviors and psychological states. Mixed models were used to (a) determine whether weight gain in a given week predicted changes in weight, behaviors (e.g., self-monitoring), and psychological states (e.g., mood, temptation) the following week and to (b) compare back-to-back weeks when individuals recovered from weight gain (gained in the first week and lost in the second) versus those in which they gained both weeks. RESULTS: Weight gain in a given week predicted greater weight gain and greater report of behaviors and psychological states associated with weight gain the following week. Back-to-back weeks when individuals switched from gaining to losing were few (5%) compared with weeks when individuals continued gaining (60%). Switching from gaining to losing was associated with greater physical activity during the initial weight gain week and greater self-reported behaviors/cognitions consistent with weight loss (e.g., greater calorie self-monitoring, greater importance of "staying on track") during the following week. CONCLUSIONS: Engagement in more weight loss consistent behaviors and more favorable ratings of key psychological variables were associated with the rare shifts from gaining to losing. Future research should investigate interventions to help individuals quickly recover from weight regain. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Affective responses to overeating episodes in women participating in a behavioral weight loss program.

BACKGROUND: Much research has focused on precursors to dietary lapses in weight loss programs, but less is known about how individual responses to lapses may influence future non-adherence and program success. The current study examined affective responses to overeating lapses and their influence on subsequent overeating and overall weight loss. METHODS: Women (n = 60) with overweight or obesity (BMI (mean ± SD): 34.3 ± 3.9 kg/m2; age: 48.1 ± 10.1 years) participated in a 3-month group behavioral weight loss intervention (BWLI). At baseline and 3 months, participants completed anthropometric assessments and a 10-day ecological momentary assessment protocol sent 5 times per day reporting on overeating and affect (stress, shame, anxiety, and feeling good about oneself). Across time points, multilevel models were used to examine affective responses to overeating and to predict likelihood of subsequent overeating. Linear regression models were used to examine the effect of affective responses to overeating (at baseline and collapsed across time points) on weight loss. RESULTS: Following self-reported overeating episodes, compared to non-overeating episodes, feeling good about oneself decreased. These decreases lessened with time from overeating. Overeating predicted subsequent overeating episodes, with decreases in feeling good about oneself following overeating marginally predicting increased likelihood (p = 0.065). Neither overeating frequency at baseline nor change in overeating frequency predicted weight loss; however, greater decreases in anxiety following overeating were associated with less weight loss. CONCLUSIONS: Self-reported overeating during a BWLI was associated with negative affective responses and may have increased the likelihood of subsequent overeating, but did not affect overall weight loss in this sample.