"Healthier health in more ways than one": Perspectives on a program for changing both smoking and obesity-related health behaviors.

INTRODUCTION: Individuals with obesity who smoke cigarettes have increased risk of morbidity and mortality. The goal of the current study was to inform the development of a multiple health behavior change intervention designed to facilitate smoking cessation while also targeting weight gain. METHODS: Four qualitative focus groups were conducted with individuals who smoked cigarettes and had overweight or obesity (n = 16) to explore the combined effects of smoking and obesity, past attempts to quit smoking or lose weight, and preferences for a combined health intervention. RESULTS: Focus groups converged on five themes including: the interactive effects of weight and smoking; lack of experience with evidence-based weight loss approaches; a desire and expectation to lose weight quickly; rapid weight gain during past attempts at smoking cessation; and interest in a multiple health behavior change intervention with weight management preceding smoking cessation and an emphasis on planning for the future and receiving encouragement and support. CONCLUSIONS: Groups provided insight into key topics to highlight in a combined intervention and key issues that have interfered with success in both domains.

Child routines moderate a brief behavioral intervention to enhance sleep in school-aged children.

OBJECTIVE: To examine whether child routines (the consistency or variation in children's daily routines, household responsibilities, discipline routines, and homework routines) moderated the effectiveness of a brief behavioral intervention to enhance sleep in school-aged children. METHODS: Secondary analysis was conducted with a subset of 66 families with short sleeping (≤9.5 hr/day) children, 8-11 years old (female = 68%; mean age = 9.76, SD = 1.02) who completed the Child Routines Inventory at baseline and were then randomized to receive a behavioral sleep intervention (n = 32) or to control (n = 34). Sleep period was objectively measured using wrist actigraphy at baseline and 2 months post-randomization. Moderation analysis was performed using ordinary least squares regression using the PROCESS macro for SPSS. RESULTS: Controlling for sleep period at baseline, treatment condition was significantly related to the sleep period at 2 months post-randomization, with the intervention group achieving a longer sleep period compared to the usual sleep period group (control) (b = 46.30, p < .01). Intervention response was moderated by child routines (b = 1.43, p < .05). Specifically, the intervention produced the greatest change in sleep period for children who engaged in greater routine behaviors at baseline than those who engaged in fewer routine behaviors. CONCLUSIONS: Families that engage in routine behaviors may be better equipped to adopt the behavioral modifications required to get a good night's sleep. The findings highlight the importance of working with families to establish routine behaviors to improve responses to behavioral sleep interventions.

Pragmatic Implementation of Online Obesity Treatment and Maintenance Interventions in Primary Care: A Randomized Clinical Trial.

Importance: Behavioral weight loss interventions have achieved success in primary care; however, to our knowledge, pragmatic implementation of a fully automated treatment that requires little researcher oversight has not been tested. Moreover, weight loss maintenance remains a challenge. Objective: To evaluate the long-term effectiveness of an automated, online, behavioral obesity treatment program (Rx Weight Loss [RxWL]) at 12 months (primary end point) and 24 months when delivered pragmatically in primary care and to compare the effectiveness of 3 weight loss maintenance approaches. Design, Setting, and Participants: This randomized clinical trial of RxWL, an online weight loss program, recruited patients from a Rhode Island primary care network with approximately 60 practices and 100 physicians. Eligible participants were primary care patients aged 18 to 75 years with overweight or obesity who were referred by their nurse care manager and enrolled between 2018 and 2020. All participants were included in the intention-to-treat analysis, whereas only those who engaged with maintenance intervention were included in the per-protocol analysis. Data were analyzed from August 2022 to September 2023. Interventions: All participants were offered the same 3-month weight loss program, with randomization to one of three 9-month maintenance programs: control intervention (monthly online newsletters), monthly intervention (9 monthly video lessons and 1 week of self-monitoring per month), or refresher intervention (an introductory session and two 4-week periods of lessons and self-monitoring at 7 and 10 months). Main Outcomes and Measures: The primary outcome was weight change at 12 months using height and weight data collected from electronic medical records through 24 months. Results: Among the 540 participants (mean [SD] age, 52.8 [13.4] years; 384 females [71.1%]) in the intention-to-treat analysis, mean estimated 3-month weight loss was 3.60 (95% CI, -4.32 to -2.88) kg. At the 12-month primary end point, the amount of weight regained in the monthly (0.37 [95% CI, -0.06 to 0.81] kg) and refresher (0.45 [95% CI, 0.27 to 0.87] kg) maintenance groups was significantly less than that in the newsletter control maintenance group (1.28 [95% CI, 0.85 to 1.71] kg; P = .004). The difference in weight regain between the monthly and refresher maintenance groups was not statistically significant. This pattern persisted at 24 months. In the per-protocol analysis of 253 participants, mean weight loss at the end of the initial 3-month intervention was 6.19 (95% CI, -7.25 to -5.13) kg. Similarly, at 12 months there was less weight regain in the monthly (0.61 kg) and refresher (0.96 kg) maintenance groups than in the newsletter control maintenance group (1.86 kg). Conclusions and Relevance: Results of this randomized clinical trial indicate that pragmatic implementation of a 12-month automated, online, behavioral obesity treatment that includes 9 months of active maintenance produces clinically significant weight loss over 2 years in primary care patients with overweight or obesity. These findings underscore the importance of providing ongoing maintenance intervention to prevent weight regain. Trial Registration: ClinicalTrials.gov Identifier: NCT03488212.

Study design and methods: U.S. study to protect brain health through lifestyle intervention to reduce risk (U.S. POINTER).

INTRODUCTION: The U.S. study to protect brain health through lifestyle intervention to reduce risk (U.S. POINTER) is conducted to confirm and expand the results of the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) in Americans. METHODS: U.S. POINTER was planned as a 2-year randomized controlled trial of two lifestyle interventions in 2000 older adults at risk for dementia due to well-established factors. The primary outcome is a global cognition composite that permits harmonization with FINGER. RESULTS: U.S. POINTER is centrally coordinated and conducted at five clinical sites (ClinicalTrials.gov: NCT03688126). Outcomes assessments are completed at baseline and every 6 months. Both interventions focus on exercise, diet, cognitive/social stimulation, and cardiovascular health, but differ in intensity and accountability. The study partners with a worldwide network of similar trials for harmonization of methods and data sharing. DISCUSSION: U.S. POINTER is testing a potentially sustainable intervention to support brain health and Alzheimer's prevention for Americans. Impact is strengthened by the targeted participant diversity and expanded scientific scope through ancillary studies.

Associations that Cardiorespiratory Fitness and Body Mass Index Loss Have with Deficit Accumulation Frailty.

INTRODUCTION/PURPOSE: Lower cardiorespiratory fitness and obesity may accelerate aging processes. The degree to which changes in fitness and body mass index (BMI) may alter the rate of aging may be important for planning treatment. We assessed cross-sectional and longitudinal associations that cardiorespiratory fitness and BMI had with a deficit accumulation frailty index (FI). METHODS: Fitness, based on standardized graded exercise tests, and weight to calculate BMI at baseline and year 4 were collected from 3944 participants aged 45-76 yr in the Action for Health in Diabetes (Look AHEAD) randomized controlled clinical trial. A validated 38-item deficit accumulation FI was used as a marker of aging. Associations between baseline and changes in fitness and BMI with changes in FI were assessed using linear models. RESULTS: Both baseline and 4-yr changes in fitness and BMI were independently associated with 4-yr changes in frailty (all P < 0.001). Mean (95% confidence interval) changes in FI ranged from -0.019 (-0.024, -0.013) for participants in the group with the greatest fitness increase and BMI loss to 0.029 (0.024, 0.034) for participants in the group with the greatest fitness loss and BMI gain. Associations of 4-yr changes in fitness and BMI with FI changes were similar across subgroups based on age, sex, baseline BMI, diabetes duration, and cardiovascular disease history. Increased fitness across 4 yr was associated with less FI accumulation independent of baseline fitness. CONCLUSIONS: Adults with type 2 diabetes and overweight or obesity may slow aging processes captured by an FI by increasing their cardiorespiratory fitness and losing weight.

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.

Health, health behaviors, and medical care utilization among college students with obesity.

Objective: The study assessed perceived health, health behaviors and conditions, and medical care utilization among students of different weight categories. Participants: Participants were college students (n = 37,583) from 58 institutions who responded to a national survey of student health behaviors. Methods: Chi-squared and mixed model analyses were completed. Results: Compared to healthy weight students, those with obesity were less likely to report excellent health and meet dietary and physical activity recommendations, and more likely to have obesity-related chronic conditions and to have attended a medical appointment in the prior 12 months. Students with obesity (84%) and overweight (70%) were more likely to be attempting weight loss compared to students of healthy weight (35%). Conclusions: Students with obesity have poorer health and health behaviors relative to students of healthy weight; students with overweight were in between. Adapting and implementing evidence-based weight management programs within colleges/universities may be beneficial for student health.

Weight gain prevention interventions in the Study of Novel Approaches to Weight Gain Prevention (SNAP) trial promote ideal cardiovascular health in young adults.

OBJECTIVE: Cardiovascular health (CVH) declines in young adulthood. This study assessed whether weight gain prevention interventions promoted ideal CVH. METHODS: Young adults (n = 599; age 18-35 years; BMI: 21.0-30.9 kg/m2 ) from a randomized controlled trial comparing two weight gain prevention interventions (self-regulation with large or small changes) and a self-guided control group completed anthropometric and clinical assessments at baseline and 2 years. CVH was quantified via the American Heart Association's Life's Simple 7 (LS7) number of ideal components met. RESULTS: Both interventions showed significant improvements in the average number of ideal LS7 components met at 2 years compared with control (pre- to post-treatment means; large change: 0.24, small change: 0.34, control: -0.2, p < 0.05). Moreover, a greater percentage of participants in both interventions improved by ≥1 ideal component (large change: 35%, small change: 37%, control: 29%) and a smaller percentage declined by ≥1 ideal component (large change: 16%, small change: 20%, control: 30%) compared with control. For individual LS7 components, the odds of having an ideal BMI and glucose varied by treatment condition at 2 years. CONCLUSIONS: Two weight gain prevention interventions led to improvements in ideal CVH at 2 years. Interventions explicitly focused on a broader constellation of LS7 domains might lead to even greater changes in CVH.

Life events and stress among young adults in weight gain prevention trial.

OBJECTIVE: Young adults (YAs) are at high risk for weight gain and show high variability in treatment response. Life events and high perceived stress are common in YAs and could drive less favorable outcomes. The goal was to examine whether life events and stress were related to program engagement and weight outcomes in a weight gain prevention trial for YAs. METHOD: Secondary analysis from the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized clinical trial (N = 599, 18-35 years, BMI 21-30 kg/m²). Both intervention arms received 10 in-person sessions over 4 months, with long-term contact via web and SMS. Participants completed the CARDIA life events survey and Cohen Perceived Stress Scale-4 at 0 and 4 months; weight was objectively measured at 0, 4 months, and 1, 2, 3, and 4 years. RESULTS: Participants who experienced more life events prior to study entry had lower session attendance (p < .01) and retention (p < .01), although no differences in weight outcomes were observed (p = .39). Baseline perceived stress followed a similar pattern. Participants who experienced more life events and higher perceived stress during the initial in-person program (0-4 months) appeared to experience less favorable weight outcomes long-term (p = .05 for life events, p = .04 for stress). Very few associations differed by treatment arm. CONCLUSIONS: Experiencing more life events and stress was negatively associated with program engagement and may impair long-term weight outcomes for YAs. Future work should consider identifying YAs at highest risk and tailoring interventions to better meet their needs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Gestational Diabetes Is Characterized by Decreased Medium-Chain Acylcarnitines and Elevated Purine Degradation Metabolites across Pregnancy: A Case-Control Time-Course Analysis.

Gestational Diabetes Mellitus (GDM) results in complications affecting both mothers and their offspring. Metabolomic analysis across pregnancy provides an opportunity to better understand GDM pathophysiology. The objective was to conduct a metabolomics analysis of first and third trimester plasma samples to identify metabolic differences associated with GDM development. Forty pregnant women with overweight/obesity from a multisite clinical trial of a lifestyle intervention were included. Participants who developed GDM (n = 20; GDM group) were matched with those who did not develop GDM (n = 20; Non-GDM group). Plasma samples collected at the first (10-16 weeks) and third (28-35 weeks) trimesters were analyzed with ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Cardiometabolic risk markers, dietary recalls, and physical activity metrics were also assessed. Four medium-chain acylcarnitines, lauroyl-, octanoyl-, decanoyl-, and decenoylcarnitine, significantly differed over the course of pregnancy in the GDM vs Non-GDM group in a group-by-time interaction (p < 0.05). Hypoxanthine and inosine monophosphate were elevated in the GDM group (p < 0.04). In both groups over time, bile acids and sorbitol increased while numerous acylcarnitines and α-hydroxybutyrate decreased (p < 0.05). Metabolites involved in fatty acid oxidation and purine degradation were altered across the first and third trimesters of GDM-affected pregnancies, providing insight into metabolites and metabolic pathways altered with GDM development.

Associations Between Technology Use, Responsive Feeding, and Child Temperament Among Prior Prenatal Intervention Participants.

OBJECTIVES: The primary objective was to examine associations between mothers' television and mobile device (TV/MD) use and responsive feeding during an observed mother-toddler mealtime interaction. The secondary objective was to assess whether dimensions of child temperament were associated with mothers' TV/MD use. METHODS: Participants from a prenatal lifestyle intervention trial to prevent excess gestational weight gain among women with overweight and obesity (N = 77) were observed during a dinner-time meal when their children were aged 19.4 ± 0.9 months. Trained video coders used the Responsiveness to Child Feeding Cues Scale to rate child strength of early/subtle, positive active, and negative active satiation cues and maternal responsiveness to these cues. Coders also recorded mothers' use of TV/MD. Child temperament was reported by mothers through the Infant Behavior Questionnaire-Revised Very Short Form. RESULTS: Twelve percent (n = 9) of mothers used TV/MD during the mealtime interaction. Children whose mothers used TV/MD exhibited stronger early/subtle cues (4.1 ± 0.4) compared with children whose mothers did not use TV/MD (3.4 ± 0.2; p = 0.04). Mothers who used TV/MD exhibited significantly lower responsiveness to child satiation cues (2.0 ± 0.4) than those who did not use TV/MD (3.4 ± 0.2; p = 0.001). Greater child temperamental negative affectivity was associated with a greater likelihood of maternal TV/MD use (OR = 4.80, 95% CI = 1.21, 19.03). CONCLUSION: Mothers' TV/MD use was associated with greater child temperamental negative affectivity and lower responsiveness to child cues.

Changes in body weight and glycemic control in association with COVID-19 Shutdown among 23,000 adults with type 2 diabetes.

AIMS: To examine the association between COVID-19 Shutdown and within-subjects changes in body weight, body mass index (BMI), and glycemic parameters using electronic health record (EHR) data from 23,000 adults with type 2 diabetes (T2DM). METHODS: Patients with T2DM with outpatient visit data on body weight, BMI, hemoglobin A1c (HbA1c), and blood glucose (≥ 2 measures before and after 3/16/2020) recorded in the EHR at the University of Pittsburgh Medical Center were included. A within-subjects analysis compared average and clinically significant changes in weight, BMI, HbA1c, and blood glucose during the year POST-Shutdown (Time 2-3) compared to the same interval during the PRE-Shutdown year (Time 0-1) using paired samples t-tests and the McNemar-Bowker test. RESULTS: We studied 23,697 adults with T2DM (51% female; 89% White; mean age = 66 ± 13 years; mean BMI = 34 ± 7 kg/m2; mean HbA1c = 7 ± 2% [53 ± 21.9 mmol/mol]). Weight and BMI decreased during both the PRE- and POST-Shutdown intervals, but the changes were statistically smaller during the year POST-Shutdown relative to PRE (0.32 kg and 0.11 units, p < 0.0001). HbA1c showed statistically greater improvements during the POST-Shutdown interval compared to PRE (- 0.18% [-2 mmol/mol], p < 0.0001), but changes in glucose did not differ for the two intervals. CONCLUSIONS: Despite widespread discussion of weight gain in association with the COVID-19 Shutdown, study data showed no evidence of adverse effects of Shutdown on body weight, BMI, HbA1C, or blood glucose in a large sample of adults with T2DM. This information may help to inform future public health decision-making.

Randomized controlled trial of prepregnancy lifestyle intervention to reduce recurrence of gestational diabetes mellitus.

BACKGROUND: Preconception lifestyle intervention holds potential for reducing gestational diabetes mellitus, but clinical trial data are lacking. OBJECTIVE: This study aimed to determine the effects of a prepregnancy weight loss intervention on gestational diabetes mellitus recurrence in women with overweight/obesity and previous gestational diabetes mellitus. STUDY DESIGN: A 2-site, randomized controlled trial comparing a prepregnancy lifestyle intervention with educational control was conducted between December 2017 and February 2022. A total of 199 English- and Spanish-speaking adults with overweight/obesity and previous gestational diabetes mellitus were randomized to a 16-week prepregnancy lifestyle intervention with ongoing treatment until conception or educational control. The primary outcome was gestational diabetes mellitus recurrence. Analyses excluded 6 participants who conceived but did not have gestational diabetes mellitus ascertained by standard methods. RESULTS: In the 63 (33%) women who conceived and had gestational diabetes mellitus ascertained (Ns=38/102 [37%] intervention vs 25/91 [28.0%] control; P=.17), those in the intervention group had significantly greater weight loss at 16 weeks compared with controls (4.8 [3.4-6.0] vs 0.7 [-0.9 to 2.3] kg; P=.001) and a greater proportion lost ≥5% of body weight (50.0% [17/34] vs 13.6% [3/22]; P=.005). There was no significant difference in the incidence of gestational diabetes mellitus recurrence between the intervention (57.9% [ns=23/38]) and the control group (44.0% [ns=11/25]; odds ratio, 1.8 [0.59-5.8]). Independent of group, greater prepregnancy weight loss predicted 21% lower odds of gestational diabetes mellitus recurrence (odds ratio, 0.79 [0.66-0.94]; P=.008). A ≥5% weight loss before conception reduced the odds of gestational diabetes mellitus recurrence by 82% (odds ratio, 0.18 [0.04-0.88]; P=.03). CONCLUSION: Lifestyle intervention produced considerable prepregnancy weight loss but did not affect gestational diabetes mellitus rates. Given that the conception rate was 50% lower than expected, this study was underpowered.

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.

Association of Weight-Related Stigmas With Daily Pain Symptoms Among Individuals With Obesity.

BACKGROUND: Individuals with obesity are disproportionately impacted by pain-related symptoms. PURPOSE: This study evaluated experienced weight stigma and internalized weight bias (IWB) as predictors of pain symptoms in daily life among individuals with obesity. METHODS: Adults with obesity (n = 39; 51% female, 67% White, 43.8 ± 11.6 years old, BMI = 36.8 ± 6.7 kg/m2) completed a baseline assessment (demographics, experienced weight stigma, IWB) and a 14-day Ecological Momentary Assessment (EMA) period involving five daily prompts of pain/aches/joint pain, muscle soreness, experienced weight stigma, and IWB. Generalized linear models were used to assess experienced weight stigma and IWB at baseline as prospective predictors of EMA pain/soreness symptoms. Multi-level models were used to test the association of momentary weight stigma experiences and IWB with pain/soreness at the same and subsequent EMA prompts. RESULTS: IWB at baseline, but not experienced weight stigma, was associated with more frequent pain symptoms (p < .05) and muscle soreness (p < .01) during EMA. Momentary IWB (but not experienced stigma) was associated with more pain/aches/joint pain and muscle soreness at the same and subsequent prompt. CONCLUSIONS: Internalized (but not experienced) weight bias was prospectively associated with pain symptoms in daily life among individuals with obesity. Results are consistent with growing evidence that weight-related stigmas represent psychosocial factors that contribute to weight-related morbidity typically attributed to body size.

Psychological resilience in older adults with type 2 diabetes from the Look AHEAD Trial.

BACKGROUND: There is growing interest in identifying factors associated with healthy aging. This cross-sectional study evaluated associations of psychological resilience with factors associated with aging in older adults with type 2 diabetes mellitus (T2DM). METHODS: Participants were 3199 adults (72.2 ± 6.2 years of age, 61% female, 61% White, body mass index [BMI] = 34.2 ± 8.2 kg/m2 ) with T2DM enrolled in Look AHEAD (a multi-site randomized clinical trial comparing an intensive lifestyle intervention for weight loss to diabetes education and support). Participants were followed observationally after the 10-year intervention was discontinued. The following items were assessed approximately 14.4 years post-randomization in a cross-sectional analysis: Brief Resilience Scale; overnight hospitalizations in past year; physical functioning measured objectively (gait speed, grip strength) and via self-report (Pepper Assessment Tool for Disability; physical quality of life [QOL; SF-36]); a measure of phenotypic frailty based on having ≥3 of unintentional weight loss, low energy, slow gait, reduced grip strength, and physical inactivity. Depressive symptoms (PHQ-9) and mental QOL (SF-36) were also measured. Logistic/linear/multinomial regression was used to evaluate the association of variables with resilience adjusted for age, race/ethnicity, and gender. RESULTS: Greater psychological resilience was associated with lower BMI, fewer hospitalizations, better physical functioning (i.e., lower self-reported disability, better physical QOL, faster gait speed, greater grip strength, lower likelihood of frailty), fewer depressive symptoms, and greater mental QOL (all p < 0.05). Psychological resilience moderated the relationship of number of hospitalizations in the past year with self-reported disability and grip strength. CONCLUSIONS: Psychological resilience is associated with better physical function and QOL among older adults. Results should be interpreted cautiously given cross-sectional nature of analyses. Exploring the clinical benefits of resilience is consistent with efforts to shift the narrative on aging beyond "loss and decline" to highlight opportunities to facilitate healthy aging.

Recovery from weight regain among long-term weight loss maintainers in WW.

OBJECTIVE: This study sought to understand the process and strategies to recover from regain among weight loss maintainers. METHODS: Participants in WeightWatchers (WW; n = 2457) had lost ≥9 kg for ≥1 year and were grouped based on self-reported weight change after maximum loss: sustained maintenance ("Stable"), ups and downs ("Gain-Lose"), and regain ("Gain"). The groups were compared on weight control strategies, and the Gain-Lose and Gain groups reported on attempts to reverse weight regain. RESULTS: Mean weight loss was 28.5 kg and duration of ≥9 kg loss was 3.5 years. During this time, 48% reported weight stability, and the remaining reported some regain (Gain-Lose, 29% or Gain, 23%). Among Gain and Gain-Lose, action to lose regained weight occurred after gaining >4 kg. Compared with Gain, Gain-Lose sustained reengagement efforts longer (16 vs. 10 weeks) and had better dietary choices (3.4 vs. 3.2), self-monitoring (2.9 vs. 2.7), and psychological coping (2.5 vs. 2.4) scores. Among Gain-Lose, the most successful (< 2.3 kg vs. >2.3 kg regain) initiated weight loss efforts after less regain (2.3 vs. 4.5 kg). CONCLUSIONS: Reengaging with weight loss after regains may be most successful if focused on diet, self-monitoring, and psychological coping and initiated with less regain.

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).