Varieties of felt presence? Three surveys of presence phenomena and their relations to psychopathology.

BACKGROUND: Experiences of felt presence (FP) are well documented in neurology, neuropsychology and bereavement research, but systematic research in relation to psychopathology is limited. FP is a feature of sensorimotor disruption in psychosis, hypnagogic experiences, solo pursuits and spiritual encounters, but research comparing these phenomena remains rare. A comparative approach to the phenomenology of FP has the potential to identify shared and unique processes underlying the experience across these contexts, with implications for clinical understanding and intervention. METHODS: We present a mixed-methods analysis from three online surveys comparing FP across three diverse contexts: a population sample which included people with experience of psychosis and voice-hearing (study 1, N = 75), people with spiritual and spiritualist beliefs (study 2, N = 47) and practitioners of endurance/solo pursuits (study 3, N = 84). Participants were asked to provide descriptions of their FP experiences and completed questionnaires on FP frequency, hallucinatory experiences, dissociation, paranoia, social inner speech and sleep. Data and code for the study are available via OSF. RESULTS: Hierarchical linear regression analysis indicated that FP frequency was predicted by a general tendency to experience hallucinations in all three studies, although paranoia and gender (female > male) were also significant predictors in sample 1. Qualitative analysis highlighted shared and diverging phenomenology of FP experiences across the three studies, including a role for immersive states in FP. CONCLUSIONS: These data combine to provide the first picture of the potential shared mechanisms underlying different accounts of FP, supporting a unitary model of the experience.

Persistent, High Levels of Social Jetlag Predict Poor Weight Outcomes in a Weight Gain Prevention Study for Young adults.

INTRODUCTION: Social jetlag (SJL), the discrepancy in sleep timing between weekdays and weekends, is associated with higher BMI and cardiometabolic risk and is common in young adults. We examined whether chronic SJL impacts weight gain in young adults participating in a weight gain prevention trial. METHODS: Young adults (n = 599, age 18-35; BMI: 21.0-30.9 kg/m2) completed assessments at 0, 4, 12, and 24 months. Multilevel mixed growth models were used to examine (1) associations between demographics and longitudinal SJL and (2) longitudinal SJL as a predictor of weight change and cardiometabolic outcomes. SJL was assessed as a continuous and clinically-significant dichotomous (< vs. ≥2 h) variable. RESULTS: 38% of participants had clinically-significant SJL at ≥ 1 timepoints (Baseline M ± SD = 1.3±0.89). Younger (b=-0.05, p < 0.001), female (b = 0.18, p = 0.037) and Black (compared to White, b = 0.23, p = 0.045) participants were more likely to have greater SJL. Individuals with high SJL (≥ 2 h; between-person effect) were more likely to have greater weight gain over 2 years (b = 0.05, p = 0.028). High SJL did not affect the rate of change in waist circumference or cardiometabolic markers over time. CONCLUSIONS: High SJL is associated with greater weight gain over time. Reducing SJL may positively impact weight status in young adults.

Traumatic brain injury and post-traumatic stress disorder are not associated with Alzheimer's disease pathology measured with biomarkers.

INTRODUCTION: Epidemiological studies report an association between traumatic brain injury (TBI) and post-traumatic stress disorder (PTSD) and clinically diagnosed Alzheimer's disease (AD). We examined the association between TBI/PTSD and biomarker-defined AD. METHODS: We identified 289 non-demented veterans with TBI and/or PTSD and controls who underwent clinical evaluation, cerebrospinal fluid (CSF) collection, magnetic resonance imaging (MRI), amyloid beta (Aß) and tau positron emission tomography, and apolipoprotein E testing. Participants were followed for up to 5.2 years. RESULTS: Exposure groups (TBI, PTSD, and TBI + PTSD) had higher prevalence of mild cognitive impairment (MCI: P < .0001) and worse Mini-Mental State Examination scores (PTSD: P = .008; TBI & PTSD: P = .009) than controls. There were no significant differences in other cognitive scores, MRI volumes, Aß or tau accumulation, or in most longitudinal measures. DISCUSSION: TBI and/or PTSD were not associated with elevated AD biomarkers. The poorer cognitive status of exposed veterans may be due to other comorbid pathologies.

Greater Average Meal Planning Frequency Predicts Greater Weight Loss Outcomes in a Worksite-Based Behavioral Weight Loss Program.

BACKGROUND: Planning in behavioral weight loss (BWL) programs helps participants enact changes in eating and exercise, although the direct impact on weight loss is unclear. PURPOSE: To examine how meal and exercise planning frequencies change in a BWL program and their relations to weight loss outcomes. METHODS: Participants (N = 139) in a 40 week worksite-based BWL program completed a questionnaire regarding meal and exercise planning frequency at Weeks 0, 10, 20, 30, and 40 and were weighed weekly. Growth curve models were used to determine trajectories in meal and exercise planning frequency and to assess the role of an individual's average meal and exercise planning (between-person effect) and individual variation in planning (within-person effect) on body mass index (BMI). RESULTS: The best-fitting model, a linear random effect with a quadratic fixed-effect model, demonstrated that meal and exercise planning frequency increased over the course of the program with slowing growth rates. Between participants, higher average meal planning frequency (B = -0.029, t = -3.60), but not exercise planning frequency, was associated with greater weight loss. Within participants, exercise planning, but not meal planning, predicted a higher than expected BMI (B = 3.17, t = 4.21). CONCLUSIONS: Frequent meal planning should be emphasized as a continued, as opposed to intermittent, goal in BWL programs to enhance weight loss. Average exercise planning frequency does not impact weight loss in BWL programs; however, acute increases in exercise planning frequency may be a popular coping strategy during a weight loss setback or, alternatively, may lead to increased calorie consumption and weight gain.

The impact of a needs-based model of care on accessibility and quality of care within children's mental health services: A qualitative investigation of the UK i-THRIVE Programme.

BACKGROUND: The i-THRIVE Programme is a needs-based model of care, based on the THRIVE Framework, that is being implemented across the United Kingdom with the aim of improving outcomes for children and young people's mental health and wellbeing. This study aimed to investigate the impact that this programme has on accessibility and quality of care, as viewed by key stakeholders. METHODS: Interviews with professionals and service users were conducted during the implementation of the THRIVE Framework in four sites of one mental health and community service provider. RESULTS: Three themes are identified: 'impact of needs-based groupings on referral', 'impact of collaborative and interagency approach' and 'impact of i-THRIVE on clinical practice'. Findings suggest that accessibility was seen to be promoted through the integration of a needs-based approach, flexible re-referral, signposting and information sharing, the use of goal-orientated interventions and collaboration over risk and treatment endings. Shared decision making was perceived to improve the experience of care for young people, as was interagency working. Goal-focused interventions and upfront discussion of treatment endings were seen to help clinicians manage expectations and discharge but could also compromise effectiveness and engagement. Obstacles to impact were resistance to interagency working and a shortage of resources across the system. CONCLUSIONS: i-THRIVE is a promising approach with the potential to facilitate the accessibility and quality of mental health care. However, a tension exists between enhancing accessibility and quality of care, which points towards the importance of outcome and satisfaction monitoring. Obstacles to impact point to the importance of a whole-system approach supported by sufficient resources across the locality.

Executive function in childhood obesity: Promising intervention strategies to optimize treatment outcomes.

Executive functions (EFs) are hypothesized to play a role in the development and maintenance of obesity due to their role in self-regulatory processes that manage energy-balance behaviors. Children with obesity have well-documented deficits in EF, which may impede effectiveness of current, evidence-based treatments. This review examines top-down EF processes (e.g., inhibitory control, working memory, cognitive flexibility), as well as bottom-up automatic processes that interact with EFs (e.g., attentional bias, delay discounting) and their relation to weight-loss treatment success in children. It then evaluates EF-related interventions that may improve treatment response. Empirical studies that included an intervention purported to affect EF processes as well as pre-post measurements of EF and/or relative weight in populations ages 19 or younger with overweight/obesity were reviewed. Findings indicate that poorer EF may hinder treatment response. Moreover, there is preliminary evidence that behavioral weight loss intervention and physical activity may positively affect EF and that improvements in EF are related to enhanced weight loss. Finally, novel intervention strategies, such as computer training of core EFs, attention modification programs, and episodic future thinking, show promise in influencing both EFs and EF-related skills and weight. Further research is needed to provide more conclusive evidence of the efficacy of these interventions and additional applications and settings should be considered.

Effects of traumatic brain injury and posttraumatic stress disorder on Alzheimer's disease in veterans, using the Alzheimer's Disease Neuroimaging Initiative.

Both traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are common problems resulting from military service, and both have been associated with increased risk of cognitive decline and dementia resulting from Alzheimer's disease (AD) or other causes. This study aims to use imaging techniques and biomarker analysis to determine whether traumatic brain injury (TBI) and/or PTSD resulting from combat or other traumas increase the risk for AD and decrease cognitive reserve in Veteran subjects, after accounting for age. Using military and Department of Veterans Affairs records, 65 Vietnam War veterans with a history of moderate or severe TBI with or without PTSD, 65 with ongoing PTSD without TBI, and 65 control subjects are being enrolled in this study at 19 sites. The study aims to select subject groups that are comparable in age, gender, ethnicity, and education. Subjects with mild cognitive impairment (MCI) or dementia are being excluded. However, a new study just beginning, and similar in size, will study subjects with TBI, subjects with PTSD, and control subjects with MCI. Baseline measurements of cognition, function, blood, and cerebrospinal fluid biomarkers; magnetic resonance images (structural, diffusion tensor, and resting state blood-level oxygen dependent (BOLD) functional magnetic resonance imaging); and amyloid positron emission tomographic (PET) images with florbetapir are being obtained. One-year follow-up measurements will be collected for most of the baseline procedures, with the exception of the lumbar puncture, the PET imaging, and apolipoprotein E genotyping. To date, 19 subjects with TBI only, 46 with PTSD only, and 15 with TBI and PTSD have been recruited and referred to 13 clinics to undergo the study protocol. It is expected that cohorts will be fully recruited by October 2014. This study is a first step toward the design and statistical powering of an AD prevention trial using at-risk veterans as subjects, and provides the basis for a larger, more comprehensive study of dementia risk factors in veterans.

Health screenings in college health centers: Variations in practice.

Objective: The purpose of this study was to examine the routine screening of female students in college health centers for six priority health-related behaviors and experiences (tobacco use, alcohol use, eating disorders [EDs], obesity, anxiety and depression, intimate partner violence/sexual violence [IPV/SV]), and to identify variations in practice. Participants: A nationally representative sample of 1,221 healthcare providers (HCPs), including nurse practitioners, physicians, and physician assistants, from 471 U.S. college health centers. Methods: HCPs completed surveys (on-line or paper) and reported on routine screening of female college students. Results: HCPs reported consistently high rates (75-85%) of screening for tobacco use, alcohol use, and anxiety/depression. Rates of screening for IPV/SV, obesity and EDs were much lower. Nurse practitioners reported the highest IPV/SV screening rates. Conclusions: College health centers present unique opportunities for screening, case-finding and intervening to reduce long-term sequelae. Providers are well-positioned to lead initiatives to improve screening practices.

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.

Swimmer illness associated with marine water exposure and water quality indicators: impact of widely used assumptions.

BACKGROUND: Studies of health risks associated with recreational water exposure require investigators to make choices about water quality indicator averaging techniques, exposure definitions, follow-up periods, and model specifications; however, investigators seldom describe the impact of these choices on reported results. Our objectives are to report illness risk from swimming at a marine beach affected by nonpoint sources of urban runoff, measure associations between fecal indicator bacteria levels and subsequent illness among swimmers, and investigate the sensitivity of results to a range of exposure and outcome definitions. METHODS: In 2009, we enrolled 5674 people in a prospective cohort at Malibu Beach, a coastal marine beach in California, and measured daily health symptoms 10-19 days later. Concurrent water quality samples were analyzed for indicator bacteria using culture and molecular methods. We compared illness risk between nonswimmers and swimmers, and among swimmers exposed to various levels of fecal indicator bacteria. RESULTS: Diarrhea was more common among swimmers than nonswimmers (adjusted odds ratio = 1.88 [95% confidence interval = 1.09-3.24]) within 3 days of the beach visit. Water quality was generally good (fecal indicator bacteria levels exceeded water quality guidelines for only 7% of study samples). Fecal indicator bacteria levels were not consistently associated with swimmer illness. Sensitivity analyses demonstrated that overall inference was not substantially affected by the choice of exposure and outcome definitions. CONCLUSIONS: This study suggests that the 3 days following a beach visit may be the most relevant period for health outcome measurement in recreational water studies. Under the water quality conditions observed in this study, fecal indicator bacteria levels were not associated with swimmer illness.

Perceiving those who are gone: Cultural research on post-bereavement perception or hallucination of the deceased.

Experiencing the continued presence of the deceased is common among the bereaved, whether as a sensory perception or as a felt presence. This phenomenon has been researched from psychological and psychiatric perspectives during the last five decades. Such experiences have been also documented in the ethnographic literature but, despite the extensive cross-cultural research in the area, anthropological data has generally not been considered in the psychological literature about this phenomenon. This paper provides an overview aimed at bridging these two areas of knowledge, and approaches the post-bereavement perception or hallucination of the deceased in cultural context. Ongoing debates are addressed from the vantage point of ethnographic and clinical case study research focusing on the cultural repertoires (in constant flux as cultures change) from which these experiences are labelled as desirable and normal, on the one hand, or as dangerous and pathological, on the other.

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.

Engaging Stakeholders to Adapt an Evidence-Based Family Healthy Weight Program.

Childhood obesity is associated with negative physical and psychosocial outcomes, especially for children from low-income backgrounds. It is critical to adapt evidence-based family healthy weight programs to meet the needs of this population. The Framework for Reporting Adaptations and Modifications to Evidence-Based Interventions was used to describe the process of using qualitative data from community and intervention stakeholders, children with overweight or obesity from low-income backgrounds, and caregivers to guide adaptations to the JOIN for ME pediatric weight management intervention. Qualitative interviews were conducted with key community and intervention stakeholders (e.g., nurse care managers, prior JOIN for ME coaches; N = 21). Focus groups were conducted in both Spanish and English with children with overweight or obesity from low-income backgrounds (N = 35) and caregivers of children with overweight or obesity from low-income backgrounds (N = 71). Qualitative data analysis informed modifications including content adaptations to simplify and tailor materials, contextual adaptations to improve intervention engagement and framing, resource awareness, and modality of delivery, training adaptations, and implementation/scale-up activities to increase connections with community partners. The process of engaging multiple stakeholder perspectives to tailor an existing intervention can provide a model for future researchers to improve the potential disseminability of an intervention.

Obesity during childhood is related to a number of negative outcomes for youth, with children from low-income backgrounds at especially high risk for obesity and related negative outcomes. There is a pressing need for programs to address weight in children and families that meet the needs of families from low-income backgrounds. This study outlines adaptations made to an evidence-based family healthy weight program to increase the likelihood of dissemination in low-income communities. Interviews were conducted with community stakeholders, children with overweight or obesity from low-income backgrounds, and caregivers of children with overweight or obesity from low-income backgrounds. These interviews led to simplification and tailoring of curriculum materials, changes to framing of weight management, increased information about available resources, remote intervention delivery, and changes to scale-up activities.

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.

Leveraging seasonality and timing to optimize pediatric weight management interventions: Novel directions for future research.

National estimates suggest that more than 35% of American children, ages 2-19 years, are overweight or obese, which increases their risk for weight-related comorbidities including diabetes, cancer, cardiovascular disease risk factors, depression, and anxiety. While obesity prevention is most cost-effective, for youth with existing obesity, the United States Preventive Services Task Force recommends ≥26 h of comprehensive lifestyle intervention over 6-12 months. This include standard behavioral therapy, dietary counseling, and an emphasis on physical activity. Although such programs are effective in reducing weight status, there are many barriers to completing these programs. A novel consideration for both the prevention and treatment of childhood obesity is the recognition that the timing of intervention, both duration and time of the year, can impact family engagement and intervention effectiveness. This paper discusses the potential of targeting high-risk periods for weight gain and offering brief behavioral intervention, in hopes of inspiring research on novel approaches to the prevention and treatment of childhood obesity.

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.

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).

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).

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.

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.