Weight Gain Prevention Intervention Research Articles

Exploring potential reach and representativeness of a self-weighing weight gain prevention intervention in adults with overweight and obesity.

Most adults with obesity do not enrolin comprehensive weight loss interventions when offered. For these individuals, lower burden self-weighing interventions may offer an acceptable alternative, though data is lacking on the potential for reach and representativeness of such interventions. Health system patients with BMI ≥30 kg/m2 (or 25-30 kg/m2 with an obesity comorbidity) completed a general health survey. During the survey, patients were given information about comprehensive weight loss interventions. If they denied interest or did not enrol in a comprehensive intervention, they were offered enrolment in a low-burdenweight gain prevention intervention focused on daily self-weighing using a cellular network-connected in-home scale without any dietary or physical activity prescriptions. Enrolment in this program was documented. Among patients offered the self-weighing intervention (n = 85; 55.3% men; 58.8% White; BMI = 34.2 kg/m2), 44.2% enrolled. Compared to those who did not enrol, enrollers had higher educational attainment (57.1% vs. 42.9% with bachelor's degree p = .02), social anxiety (5.8 vs. 2.8, p < .001), and perceptions of the effectiveness of the self-weighing intervention (25.8 vs. 20.9 on 35, p = .007). The most highly endorsed reason for not enrolling in the self-weighing intervention was that it would make individuals overly focused on weight. A low-intensity weight gain prevention intervention may serve as a viable alternative to comprehensive weight loss interventions for the substantial portion of patients who are at risk for continued weight gain but would otherwise not enrol in a comprehensive intervention. Differential enrolment by education, however, suggests potential for inequitable uptake.

A randomised controlled trial to investigate the feasibility and acceptability of a small change approach to prevent weight gain

A weight gain prevention strategy showing merit is a small change approach (increase energy expenditure and/or decrease energy intake by 100–200 kcal/day). Studies have tested a small change approach in intensive interventions involving multiple contacts, unsuitable for delivery at scale. The aim here was to assess the feasibility and acceptability of a remote small change weight gain prevention intervention. A randomised controlled trial of 122 participants was conducted. The intervention was a remote 12-week small change weight gain prevention programme (targeting dietary and/or physical activity behaviours). The comparator group received a healthy lifestyle leaflet. Data were collected at baseline and 12-weeks. The primary outcome was the feasibility and acceptability, assessed against three stop–go traffic light criteria: retention, number of participants randomised per month and adherence to a small change approach. Participants’ opinions of a small change approach and weight change were also measured. The traffic light stop–go criteria results were green for recruitment (122 participants recruited in three months) and retention (91%) and red for intervention adherence. Most participants (62%) found a small change approach helpful for weight management and the mean difference in weight was − 1.1 kg (95% CI − 1.7, − 0.4), favouring the intervention group. Excluding intervention adherence, the trial was feasible and acceptable to participants. Despite adherence being lower than expected, participants found a small change approach useful for weight management and gained less weight than comparators. With refinement to increase intervention adherence, progress to an effectiveness trial is warranted.ISRCTN18309466: 12/04/2022 (retrospectively registered).

Weekly, Seasonal, and Festive Period Weight Gain Among Australian Adults

Obesity is a major global health concern. A better understanding of temporal patterns of weight gain will enable the design and implementation of interventions with potential to alter obesity trajectories. To describe changes in daily weight across 12 months among Australian adults. This cohort study conducted between December 1, 2019, and December 31, 2021 in Adelaide, South Australia, involved 375 community-dwelling adults aged 18 to 65 years. Participants wore a fitness tracker and were encouraged to weigh themselves, preferably daily but at least weekly, using a body weight scale. Data were remotely gathered using custom-developed software. Time assessed weekly, seasonally, and at Christmas/New Year and Easter. Data were visually inspected to assess the overall yearly pattern in weight change. Data were detrended (to remove systematic bias from intraindividual gradual increases or decreases in weight) by calculating a line of best fit for each individual's annual weight change relative to baseline and subtracting this from each participant's weight data. Multilevel mixed-effects linear regression analysis was used to compare weight across days of the week and seasons and at Christmas/New Year and Easter. Of 375 participants recruited, 368 (mean [SD] age, 40.2 [5.9] years; 209 [56.8%] female; mean [SD] baseline weight, 84.0 [20.5] kg) provided at least 7 days of weight data for inclusion in analyses. Across the 12-month period, participants gained a median of 0.26% body weight (218 g) (range, -29.4% to 24.0%). Weight fluctuated by approximately 0.3% (252 g) each week, with Mondays and Tuesdays being the heaviest days of the week. Relative to Monday, participants' weight gradually decreased from Tuesday, although not significantly so (mean [SE] weight change, 0.01% [0.03%]; P = .83), to Friday (mean [SE] weight change, -0.18% [0.03%]; P < .001) and increased across the weekend to Monday (mean [SE] weight change for Saturday, -0.16% [0.03%]; P < .001; mean [SE] weight change for Sunday, -0.10% [0.03%]; P < .001). Participants' weight increased sharply at Christmas/New Year (mean [SE] increase, 0.65% [0.03%]; z score, 25.30; P < .001) and Easter (mean [SE] weight change, 0.29% [0.02%], z score, 11.51; P < .001). Overall, participants were heaviest in summer (significantly heavier than in all other seasons), were lightest in autumn (mean [SE] weight change relative to summer, -0.47% [0.07%]; P < .001), regained some weight in winter (mean [SE] weight change relative to summer, -0.23% [0.07%]; P = .001), and became lighter in spring (mean [SE] weight change relative to summer, -0.27% [0.07%]; P < .001). In this cohort study of Australian adults with weekly and yearly patterns in weight gain observed across 12 months, high-risk times for weight gain were Christmas/New Year, weekends, and winter, suggesting that temporally targeted weight gain prevention interventions may be warranted.

Evaluating the Acceptance and Usability of an App Promoting Weight Gain Prevention and Healthy Behaviors Among Young Women With a Family History of Breast Cancer: Protocol for an Observational Study.

Breast cancer is the most common form of cancer in women, and around 20% of cases are associated with factors such as adult weight gain, overweight and obesity, and potentially modifiable health behaviors including high alcohol intake, smoking, lack of physical activity, and breastfeeding. Significant weight gain occurs between the ages of 18 and 35 years; hence, this age group could benefit from weight gain prevention interventions. Population studies have reported that women at increased risk of breast cancer account for a disproportionate amount of cases. Thus, there is a particular need to target weight gain prevention and other health behavior interventions for women at increased risk. A literature review identified no evidence-based apps that cover all relevant health behaviors. With patient and participant involvement from the target population, we have developed a new app to promote healthy behaviors among young women at increased risk of breast cancer. Alongside the app, a Facebook group provides peer support, and a virtual welcome event provides an overview of the project and the opportunity to meet the research team and other study participants. The aim of the intervention is to prevent weight gain via changes to eating habits and physical activity levels, and improve other health behaviors associated with breast cancer. The app includes goal setting and self-monitoring of health behaviors and provides education about breast cancer. This study aims to assess the acceptability and usability of the app in young women at increased risk of breast cancer, and the feasibility of the study procedures for a future, larger efficacy study. Young women (n=35, age 18-35 years) at increased risk of breast cancer (>17% lifetime risk) will be recruited via 2 recruitment procedures: mailed invite from the local breast cancer family history, risk and prevention clinic, and advertisements on social media and websites. Participants will have access to the app and the private Facebook group for 2 months. They will complete questionnaires regarding their health behaviors and breast cancer risk belief at the start and end of the study, complete app rating scales in the middle and at the end of the study, and be invited to give feedback on the app during the study period. Approximately 20 participants will have a semistructured interview at the end of the study regarding their views on the app and trial procedures. The trial is ongoing, and the publication of results is anticipated in 2023. The trial will provide evidence regarding the acceptability and usability of the newly developed app for young women at increased risk of breast cancer. Feedback obtained will be used to improve the app. The trial will also assess the feasibility of the study procedures and how these can be refined for a future efficacy study. ClinicalTrials.gov NCT05460650; https://clinicaltrials.gov/ct2/show/NCT05460650. PRR1-10.2196/41246.

Uric acid as a predictor of weight gain and cardiometabolic health in the Study of Novel Approaches to Weight Gain Prevention (SNAP) study

Young adulthood is often a period of substantial weight gain increasing risk for obesity and cardiometabolic disease. Uric acid (UA), a clinical marker of oxidative stress, is associated with cardiometabolic dysfunction in established CVD, type 2 diabetes, and CKD. Yet, few trials have examined UA as a predictor of cardiometabolic risk in young, healthy populations, particularly in the context of weight gain prevention intervention. The purpose of this ancillary study was to examine UA in the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized, controlled trial of weight gain prevention strategies in young healthy adults. UA was examined as a predictor of weight and cardiometabolic outcomes over 6 years; the impact of weight gain prevention interventions on UA was also examined. We found that higher baseline UA was a significant predictor of less favorable BMI, triglycerides, HDL, glucose, insulin, and HOMA, independent of age, sex, baseline weight, baseline level of the outcome variable, and weight gain prevention intervention. Additionally, ≥1% weight loss was associated with lower UA. UA is a promising biomarker for future weight gain and cardiometabolic risk in young adults that may respond to weight gain prevention.Clinical trial registration: clinicaltrials.gov identifier NCT01183689.

Behaviour Change Techniques in Weight Gain Prevention Interventions in Adults of Reproductive Age: Meta-Analysis and Meta-Regression.

Weight gain prevention interventions are likely to be more effective with the inclusion of behaviour change techniques. However, evidence on which behaviour change techniques (BCT) are most effective for preventing weight gain and improving lifestyle (diet and physical activity) is limited, especially in reproductive-aged adults. This meta-analysis and meta-regression aimed to identify BCT associated with changes in weight, energy intake and physical activity in reproductive-aged adults. BCT were identified using the BCT Taxonomy (v1) from each intervention. Meta-regression analyses were used to identify BCT associated with change in weight, energy intake and physical activity. Thirty-four articles were included with twenty-nine articles for the meta-analysis. Forty-three of the ninety-three possible BCT listed in the taxonomy were identified in the included studies. Feedback on behaviour and Graded tasks were significantly associated with less weight gain, and Review behaviour goals was significantly associated with lower energy intake. No individual BCT were significantly associated with physical activity. Our analysis provides further evidence for which BCT are most effective in weight gain prevention interventions. The findings support that the use of key BCT within interventions can contribute to successful weight gain prevention in adults of reproductive age.

Patterns of weight change in a weight gain prevention study for young adults.

Recovery from weight regain is uncommon during weight loss treatment. This study examined whether participants in a weight gain prevention intervention similarly struggle to recover following weight gains and which factors predict transitions. This is a secondary analysis of data from the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized controlled trial comparing two weight gain prevention interventions with a control group. Young adults (n = 599; age 18-35 years) were followed over 3 years. Markov models identified transition rates in going above and returning below baseline weight across follow-up. Logistic regressions identified predictors of transitions. At each time point, approximately double the number of participants who transitioned from below to above baseline transitioned from above to below. The magnitude of weight changes from baseline and the number of weight loss strategies used predicted transitions from below to above and above to below baseline weight (with opposite relationships). Infrequent self-weighing and lower dietary restraint predicted transitions below to above baseline weight. Treatment arm, demographics, calorie consumption, and physical activity generally did not predict transitions. Young adults engaging in weight gain prevention struggle to lose gained weight. Alternative strategies are needed to address weight gains in weight gain prevention interventions.

Who loses weight in a weight gain prevention program? A comparison of weight losers and weight maintainers at 3 years.

Despite weight loss challenges in young adulthood, 17% of participants in the Study of Novel Approaches to Weight Gain Prevention (SNAP) weight gain prevention study lost ≥ 5% of their body weight at 3 years. These "weight losers" (n = 88) were compared to "weight maintainers" (n = 143), who successfully prevented weight gains by staying within ± 2.5% of their baseline weight at 3 years. Weight losers and maintainers (n = 231; 18-35 years old) were drawn from the SNAP randomized controlled trial (n = 599), which compared two weight gain prevention interventions with a control group. Participants completed anthropometric and psychosocial assessments at baseline, 4 months (end of face-to-face intervention), and 1, 2, and 3 years. Three-year weight losers had significantly greater weight losses than maintainers by 4 months, and weight trajectories continued to diverge. Three-year weight change group was not associated with treatment assignment. At pretreatment, weight losers were heavier, closer to their self-reported highest ever weight, and further away from their self-identified ideal weight. Across treatment, weight losers had greater dietary restraint and autonomous motivation, had lower disinhibition and self-identified ideal weight, and self-weighed more frequently than weight maintainers. Weight gain prevention messaging may be sufficient to initiate weight loss in a subset of young adults who are heavier and closer to their highest weight at baseline. Psychological and behavioral characteristics more consistent with weight loss may explain differences in weight outcomes between losers and maintainers at 3 years. Future studies may consider the effects of weight gain prevention versus weight loss messaging in tailoring weight control interventions for young adults. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Making large changes or small changes to prevent weight gain in young adulthood: which is preferred and by whom?

Knowledge of participant treatment preferences can inform decision-making regarding treatment dissemination and future participant adoption. To compare participant perceptions of two evidence-based approaches for weight gain prevention in young adults to identify the intervention with the greatest likelihood of adoption. As part of a randomized trial (Study of Novel Approaches to Weight Gain Prevention [SNAP]; n = 599) testing weight gain prevention interventions in young adults (18-35 years), individuals assigned to self-regulation interventions using either large changes or small changes reported on perceived personal effectiveness and difficulty of treatment over 3 years. Treatment satisfaction at 2-year follow-up was also reported. Pre-randomization, participants believed the large change intervention would be more personally effective than the small change intervention, although they also considered it more complex. Older age, lower body mass index (p = 0.056), and desire to maintain versus lose weight predicted greater perceived effectiveness of the small change relative to large change intervention. Over follow-up, the large change intervention was no longer perceived as more effective, but perceived effectiveness aligned with assigned treatment. The small change intervention was rated as less complex than the large change intervention at 4 months, but not at other follow-ups. At study conclusion, participants were largely satisfied with both treatments; however, in the small change intervention, individuals who were not successful at preventing weight gain were less satisfied than individuals who were successful. The large and small change interventions are both appropriate for dissemination with no clear advantages based on the participant perceptions.

Capability, opportunity, and motivation: an across contexts empirical examination of the COM-B model

BackgroundThere is limited evidence for successful weight gain prevention interventions targeting young adults. Developing effective interventions necessitates a theoretical model that can identify barriers and enablers for healthy eating and physical activity among young adults to support weight management. This study empirically examines the utility of the COM-B model as a framework for intervention planning across two behavioural contexts: eating and physical activity.MethodsA cross-sectional survey research design was employed to empirically test the COM-B model in the contexts of young adult’s eating and physical activity behaviours. Informed by the Theoretical Domains Framework, pre-validated measures appropriate for capturing the latency of the COM (Capability, Opportunity, and Motivation) constructs were sourced. Both surveys (eating and physical activity) were administered online to two independent samples of young adults aged 18–35 years. Models were specified and tested using structural equation modelling.ResultsA total of 582 (mean age = 22.8 years; 80.3% female) and 455 (mean age = 24.9 years; 80.8% female) participants were included in the physical activity and eating analyses, respectively. The COM-B model explained 31% of variance in physical activity behaviour and 23% of variance in eating behaviour. In the physical activity model (N = 582), capability and opportunity were found to be associated with behaviour through the mediating effect of motivation. In the eating model (N = 455), capability was found to be associated with behaviour through the mediating effect of motivation. Capability was also found to mediate the association between opportunity and motivation. Consistencies and variations were observed across both models in terms of COM indicators.ConclusionsFindings support the COM-B model’s explanatory potential in the context of young adult’s physical activity and eating behaviours. Barriers and enablers underlying young adult’s physical activity and eating behaviours were identified that represent potential targets for future intervention design. Further research is needed to validate present study findings across different populations and settings.

Preventing weight gain in adults: A systematic review and meta-analysis of randomized controlled trials.

Weight gain prevention is a global public health priority to address escalating adiposity in adults. This review evaluates the efficacy of weight gain prevention trials targeting adults aged 18-50 years and adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Trials of any duration from inception to May 2020 that evaluated a weight gain prevention intervention (using either prescriptive diet, prescriptive physical activity, prescriptive diet, and/or physical activity or non-prescriptive lifestyle) and included weight or body mass index (weight [kg]/height [m2 ]) were eligible. Twenty-nine trials across 34 publications (participants n = 37,407) were included. Intervention resulted in less weight gain compared with controls (-1.15 kg [95% CI -1.50, -0.80 kg] p < 0.001). Subgroup analysis demonstrated greater effectiveness with prescriptive (-1.60 kg [95% CI -2.00, -1.19] p < 0.001) compared with non-prescriptive (-0.81 kg [95% CI 1.10, -0.53] p < 0.001) intervention types. Interventions had greatest impact in healthy weight (18.5-24.9kg/m2 ) (-0.82 kg [95% CI -1.5, -0.50] p < 0.001) or overweight (25.0-29.9kg/m2 ) (-1.48 kg [95% CI -1.85, -1.12] p < 0.001) compared with obese populations (≥30.0kg/m2 ) (-0.56 kg [95% CI -1.40, 0.27] p = 0.19). These findings demonstrate that lifestyle intervention prevents cumulative weight gain in non-obese adults, with future research required to inform cost-effectiveness and implementation feasibility.

Changes in Cardiovascular Risk Factors Over 6 Years in Young Adults in a Randomized Trial of Weight Gain Prevention.

This study aimed to determine the impact of weight gain prevention interventions on changes in cardiovascular risk factors over 6 years. The Study of Novel Approaches to Weight Gain Prevention (SNAP) randomized 599 participants (ages 18-35; 46% with BMI 21-25; 54% with BMI 25-30) to Large Changes (produce buffer by losing 5-10 pounds initially), Small Changes (daily small changes in intake and activity) or Control and followed 355 participants with ongoing intervention and assessments through 6 years. There were no significant differences among interventions for changes in weight or cardiovascular disease (CVD) risk factors from baseline to 6 years. However, 44% of participants gained ≥5%, and only 14% lost ≥5% over 6 years. Weight changes, from baseline to year 6, were significantly associated with changes in risk factors, especially insulin and high-density lipoprotein cholesterol. Earlier weight changes (e.g., weight cycling) had no beneficial or adverse effect on changes in CVD risk factors at 6 years, independent of 6-year weight changes. Despite participation in a weight gain prevention trial, almost half of these young adults gained ≥5% or more over 6 years, with significant worsening in CVD risk factors. Greater attention to long-term weight gain prevention in young adults is needed.

Experiences of African American Breast Cancer Survivors Using Digital Scales and Activity Trackers in a Weight Gain Prevention Intervention: Qualitative Study.

BackgroundThe use of digital tools to promote daily self-weighing and daily activity tracking may be a promising strategy for weight control among African American breast cancer survivors (AABCS). There have been no studies exploring the acceptability and feasibility of using digital tools for weight control or qualitative studies characterizing perceptions of daily self-weighing and daily activity tracking among AABCS.ObjectiveThis study aimed to explore the subjective experiences of daily self-weighing and daily activity tracking using digital tools, including wireless scales and activity trackers, in a sample of AABCS participating in two technology-based weight gain prevention interventions over 6 months.MethodsSemistructured interviews (N=21) were conducted in person or over the phone, were audio recorded, and then transcribed verbatim. Each transcript was read to identify key themes and develop a codebook. Each transcript was coded using Atlas.ti software, and code outputs were used to identify overarching themes and patterns in the data.ResultsOn average, participants were 52.6 (SD 8.3) years of age, with obesity at baseline (BMI 33.1 kg/m2, SD 5.9), and weighed on 123.4 (SD 48.0) days out of the 168 days (73.5%) in the study period. Women tended to attribute their weight gain to cancer treatment and framed program benefits in terms of improved quality of life and perceptions of prolonging their survival following treatment. Using the smart scale for daily self-weighing was viewed as the tool by which participants could control their weight and improve their health and well-being posttreatment. The activity tracker increased awareness of physical activity and motivated participants to be more active.ConclusionsParticipants reported positive experiences and benefits from daily self-weighing and daily activity tracking. Findings suggest that daily self-weighing and daily activity tracking using digital tools are well-received, acceptable, and feasible intervention strategies for AABCS in the context of posttreatment weight management.

Evaluating an Interactive Digital Intervention for College Weight Gain Prevention

ObjectivePilot a digital interactive intervention for weight gain prevention among college students. MethodsOne sample pre-post study reporting on initial usability and changes in theoretical constructs (ie, self-efficacy, behavioral capability, elaboration) and program acceptability. Twenty college freshmen (mean age, 18.25 ± 0.72 years) reviewed a digital program providing self-assessment and brief tailored feedback on 8 behaviors that relate to a healthy weight: physical activity, sedentary behavior, and consumption of sugary beverages, high fat snacks, breakfast, fried foods, fruits and vegetables, and pizza. ResultsAt posttest, improvements in self-efficacy were found for 5 behaviors (ie, physical activity, high fat snacks, breakfast, fried foods, fruits and vegetables); improvements in behavioral capability were found for 3 behaviors (ie, high fat snacks, fried foods, and fruits and vegetables). Acceptability benchmarks included: positive impression (60%), relevance (95%), and ease of comprehension (75%). Conclusions and ImplicationsThis program demonstrates acceptability for a digital weight gain prevention intervention, with improvements in behavioral mediators of change. Suggestions to simplify messaging and allowing for user control may enhance acceptability and comprehension. There is a need for further testing with larger more diverse populations before broader implementation by universities to address student health.

Applying RE-AIM to Evaluate the External Validity of Weight Gain Prevention Interventions in Young Adults: A Systematic Review.

The purpose of this review was to use RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) to assess the extent to which weight gain prevention studies targeting young adults reported on elements of external validity. Systematic review. Articles of interest included a lifestyle/behavioral intervention targeting weight gain prevention. Eligibility criteria included the following: study design of randomized controlled trials, quasi-randomized control trials, or natural experiments; average participant age between 18 and 35 years; study duration of at least 12 months; and published in English between January 2008 and May 2018. Studies had to report weight or body mass index as a measured outcome and were excluded if they were paired with smoking cessation programs, were conducted in specific groups (ie, pregnant women, breast cancer survivors), or were follow-ups to weight loss studies. After removing duplicates, the search yielded 11426 articles. Titles and abstracts were screened by 1 reviewer; 144 articles were assessed in a full-text review by 2 reviewers. Discrepancies were resolved by consensus. Nine studies (13 articles) were included in the review. Reported elements of the RE-AIM framework. A total of 9 studies met the selection criteria. All studies lacked full reporting on external validity elements. Of the total of 60 RE-AIM reporting criteria, 8 were reported by all 9 studies, 26 criteria were reported by fewer than 4 studies, and 22 criteria were not reported by any of the studies. There remains inadequate reporting of elements of external validity and generalizability in weight gain prevention studies. This is a significant scientific constraint that limits the information required to disseminate and implement prevention of weight gain interventions for population impact. Standardized reporting may be needed to ensure results that demonstrate not only internal validity but also external validity and generalizability are needed to promote public health impact.

Feasibility and efficacy of a weight gain prevention intervention for breast cancer patients receiving neoadjuvant chemotherapy: a randomized controlled pilot study.

Weight gain is common among breast cancer patients and may contribute to poorer treatment outcomes. Most programs target breast cancer survivors after the completion of therapy and focus on weight reduction. This study examined the feasibility and preliminary efficacy of an intervention designed to prevent primary weight gain among women receiving neoadjuvant chemotherapy for breast cancer. Thirty-eight newly diagnosed stage II or III breast cancer patients were randomized to the BALANCE intervention or usual care within 3weeks of starting neoadjuvant chemotherapy. The intervention used a size acceptance-based approach and encouraged home-based resistance and moderate-intensity aerobic exercise as well as a low energy-dense diet to prevent weight gain. Assessments were conducted at baseline, mid-chemotherapy (3months), and post-chemotherapy (6months). Intervention feasibility, acceptability, and preliminary effects on anthropometric, quality of life, and circulating biomarker measures were evaluated. Intervention participant retention (100%) and in-person session attendance (80%) were high during the intervention period, although attendance dropped to 43% for telephone-delivered sessions. The majority of participants reported being satisfied with the intervention during chemotherapy (88%). Participants in the intervention group had greater reductions in waist circumference (p = .03) and greater improvements in self-reported vitality scores (p = .03) than the control group at the end of chemotherapy. Significant effects on biomarkers were not observed. A size acceptance weight management program is feasible during neoadjuvant chemotherapy among breast cancer patients and may have beneficial effects on waist circumference and patient vitality. This study was registered as a clinical trial at www.clinicaltrials.gov (NCT00533338).

Which behaviour change techniques within interventions to prevent weight gain and/or initiate weight loss improve adiposity outcomes in young adults? A systematic review and meta-analysis of randomized controlled trials.

Young adulthood is associated with the highest rate of weight gain compared with any other adult age group. This review evaluates the effectiveness of interventions with adiposity outcomes among young adults and identifies which behaviour change techniques (BCTs) are most effective. BCT utilization was assessed using Michie's 93-item BCT Taxonomy v1. Six electronic databases were searched for randomized controlled trials assessing change in adiposity in young adults (17-35 years) until December 2019; identifying 21,582 articles. Fifty-one studies were included. Meta-analyses for weight (n=19 studies), body mass index (BMI) (n=20 studies), and waist circumference (n=10 studies) demonstrated no significant between-group differences at ≤3 or >3 months. There were no differences between interventions focusing on weight loss or weight-gain prevention. Narrative synthesis showed significant between-group differences in weight change, favouring the intervention in 14/43 (33%) studies. In studies assessing BMI and waist circumference, this was 31% (11/36) and 25% (4/16). Two BCTs had a percentage effectiveness ratio >50% in weight loss interventions; social support (unspecified) and self-monitoring behaviour, and one in weight-gain prevention interventions; and goal-setting (outcome). Findings demonstrate initial potential for these types of BCTs and can help build cumulative evidence towards delivering effective, cost-efficient, and replicable interventions.

The efficacy of electronic health interventions targeting improved sleep for achieving prevention of weight gain in adolescents and young to middle-aged adults: A systematic review.

Sleep is emerging as a modifiable risk factor in counteracting harmful weight gain. Electronic and mobile devices offer a channel for wide-reaching intervention delivery. This systematic review aimed to determine the efficacy of interventions that included sleep behaviour as part of health promotion for preventing weight gain. Seven databases were searched from 1 January 2000 until 28 June 2019. Eligible studies were controlled trials of weight gain prevention programs that addressed sleep in healthy participants aged 13 to 44 years of age. The primary outcome was change in measured or self-reported weight. From 824 publications located, only six eligible trials with a total of 3,277 participants were identified and all addressed multiple behaviours. One study demonstrated a decrease in weight for the intervention group, and two other studies showed a decreased prevalence of overweight and obesity. Only one trial showed improved sleep duration but failed to show differences in weight. No definitive conclusions concerning the efficacy of electronic weight gain prevention interventions that include sleep can be made, but future trials should provide more detail about intervention techniques used, employ objective sleep and physical activity measures and undertake mediation analysis to judge the contributions of changes in sleep to study outcomes. PROSPERO REGISTRATION: CRD42019121879.

The Relationship Between Feasting Periods and Weight Gain: a Systematic Scoping Review

Whilst evidence indicates that weight gain occurs over holidays, the contribution of specific festive periods and celebrations to eating behaviour and weight gain is unclear. We aimed to synthesise literature on how festive periods and celebrations contribute to population weight gain and weight-related outcomes. Thirty-nine studies examining (i) body weight changes, (ii) determinants of eating behaviour or (iii) weight-gain prevention interventions during festive periods were systematically reviewed. Of the 23 observational studies examining changes in body weight during festive periods, 70% found significant increases (mean 0.7kg). Only four studies investigated exposure to food cues and overeating during these periods, with heterogeneous results. All six intervention studies found that weight gain can be mitigated by self-weighing/self-monitoring and intermittent fasting. Interventions targeting festive periods could have a significant impact on population weight gain. The scalability and sustainability of such interventions require further investigation, as do the broader socioecological factors driving unhealthy eating during festive periods.

Chaos and psychosocial health in low-income overweight or obese women.

Using baseline data from a community-based weight-gain prevention intervention study, the authors examined whether coping self-efficacy moderated the associations between chaotic home environment and psychosocial health (perceived psychosocial stress, depressive symptoms, and positive and negative affect) in low-income women who are overweight or obese. Participants (N = 740; Mage = 28.06 ± 5.12) completed validated self-report measures of coping self-efficacy, chaotic home environment, perceived psychosocial stress, depressive symptoms, and positive and negative affect. Composite indicator structural equation modeling was used to test the moderation effects. Effect size was calculated using proportion of maximum possible (POMP) scores in the endogenous variables per unit change in the exogenous variable. Coping self-efficacy significantly moderated the associations between chaotic home environment and depressive symptoms (p < .001, POMP = -0.62%) and between chaotic home environment and negative affect (p < .01, POMP = -0.36%). However, coping self-efficacy did not moderate the association between chaotic home environment and perceived psychosocial stress or positive affect. This study suggests that coping self-efficacy could explain some individual differences in responses to home chaos or to interventions aimed at alleviating depressive symptoms and negative affect in low-income women who are overweight or obese and who experience chaos at home. (PsycINFO Database Record (c) 2019 APA, all rights reserved).