Factors associated with choice of behavioural weight loss program by adults with obesity.

We assessed the preference for two behavioural weight loss programs, Diabetes Prevention Program (DPP) and Healthy Weight for Living (HWL) in adults with obesity. A cross-sectional survey was fielded on the Amazon Mechanical Turk. Eligibility criteria included reporting BMI ≥30 and at least two chronic health conditions. Participants read about the programs, selected their preferred program, and answered follow-up questions. The estimated probability of choosing either program was not significantly different from .5 (N = 1005, 50.8% DPP and 49.2% HWL, p = .61). Participants' expectations about adherence, weight loss magnitude, and dropout likelihood were associated with their choice (p < .0001). Non-White participants (p = .040) and those with monthly income greater than $4999 (p = .002) were less likely to choose DPP. Participants who had postgraduate education (p = .007), did not report high serum cholesterol (p = .028), and reported not having tried losing weight before (p = .025) were more likely to choose DPP. Those who chose HWL were marginally more likely to report that being offered two different programs rather than one would likely affect their decision to enrol in one of the two (p = .052). The enrolment into DPP and HWL was balanced, but race, educational attainment, income, previous attempt to lose weight, and serum cholesterol levels had significant associations with the choice of weight loss program.

Effects of a group-based weight management programme on anxiety and depression: A randomised controlled trial (RCT).

OBJECTIVES: The aim was to investigate the impact of a group-based weight management programme on symptoms of depression and anxiety compared with self-help in a randomised controlled trial (RCT). METHOD: People with overweight (Body Mass Index [BMI]≥28kg/m2) were randomly allocated self-help (n = 211) or a group-based weight management programme for 12 weeks (n = 528) or 52 weeks (n = 528) between 18/10/2012 and 10/02/2014. Symptoms were assessed using the Hospital Anxiety and Depression Scale, at baseline, 3, 12 and 24 months. Linear regression modelling examined changes in Hospital Anxiety and Depression Scale between trial arms. RESULTS: At 3 months, there was a -0.6 point difference (95% confidence interval [CI], -1.1, -0.1) in depression score and -0.1 difference (95% CI, -0.7, 0.4) in anxiety score between group-based weight management programme and self-help. At subsequent time points there was no consistent evidence of a difference in depression or anxiety scores between trial arms. There was no evidence that depression or anxiety worsened at any time point. CONCLUSIONS: There was no evidence of harm to depression or anxiety symptoms as a result of attending a group-based weight loss programme. There was a transient reduction in symptoms of depression, but not anxiety, compared to self-help. This effect equates to less than 1 point out of 21 on the Hospital Anxiety and Depression Scale and is not clinically significant.

Individual and family characteristics associated with health indicators at entry into multidisciplinary pediatric weight management: findings from the CANadian Pediatric Weight management Registry (CANPWR).

OBJECTIVES: (1) To explore individual and family characteristics related to anthropometric and cardiometabolic health indicators and (2) examine whether characteristics that correlate with cardiometabolic health indicators differ across severity of obesity at time of entry to Canadian pediatric weight management clinics. METHODS: We conducted a cross-sectional analysis of 2-17 year olds with overweight or obesity who registered in the CANadian Pediatric Weight Management Registry (CANPWR) between May 2013 and October 2017 prior to their first clinic visit. Individual modifiable health behaviors included dietary intake, physical activity, screen time, and sleep. Family characteristics included parental BMI, family medical history, socioeconomic status and family structure. Linear mixed effects stepwise regression analysis was performed to determine which characteristics were related to each health indicator: BMI z-score; waist circumference; waist to height ratio; blood pressure; glycemia; HDL cholesterol; non-HDL cholesterol; triglycerides. RESULTS: This study included 1296 children (mean age ± standard deviation: 12.1 ± 3.5 years; BMI z-score: 3.55 ± 1.29; 95.3% with obesity). Hours spent sleeping (estimated ß = -0.10; 95% CI [-0.15, -0.05], p = 0.0001), hours per week of organized physical activity (estimated ß = -0.32; 95% CI [-0.53, -0.11], p = 0.0026), daily sugared drink intake (estimated ß = 0.06; 95% CI [0.01, 0.10], p = 0.0136) and maternal BMI (estimated ß = 0.03; 95% CI [0.02, 0.04], p < 0.0001) were associated with BMI z-score (adj. R2 = 0.2084), independent of other individual and family characteristics. Physical activity, total sugared drink intake and sleep duration were associated with glycemia and non-HDL cholesterol, independent of child BMI z-score. However, irrespective of obesity severity, little of the variance (0.86-11.1%) in cardiometabolic health indicators was explained by individual modifiable health behaviors. CONCLUSIONS: Physical activity, total sugared drink intake and hours spent sleeping were related to anthropometric and some cardiometabolic health indicators in children entering pediatric weight management programs. This highlights the importance of these modifiable health behaviors on multiple health indicators in children with obesity.

An epigenetic aging analysis of randomized metformin and weight loss interventions in overweight postmenopausal breast cancer survivors.

Metformin and weight loss relationships with epigenetic age measures-biological aging biomarkers-remain understudied. We performed a post-hoc analysis of a randomized controlled trial among overweight/obese breast cancer survivors (N = 192) assigned to metformin, placebo, weight loss with metformin, or weight loss with placebo interventions for 6 months. Epigenetic age was correlated with chronological age (r = 0.20-0.86; P < 0.005). However, no significant epigenetic aging associations were observed by intervention arms. Consistent with published reports in non-cancer patients, 6 months of metformin therapy may be inadequate to observe expected epigenetic age deceleration. Longer duration studies are needed to better characterize these relationships.Trial Registration: Registry Name: ClincialTrials.Gov.Registration Number: NCT01302379.Date of Registration: February 2011.URL: https://clinicaltrials.gov/ct2/show/NCT01302379.

A staged approach to address youth unresponsive to initial obesity intervention: a randomized clinical trial.

BACKGROUND/OBJECTIVE: Maintenance interventions inherently require BMI improvement to maintain. This overlooks individuals initially unresponsive to obesity interventions. Staged pediatric clinical treatment guidelines were adapted to the school setting to develop an escalated treatment option for individuals initially unresponsive. This staged randomized controlled trial examined differences between escalated treatment (Take CHARGE!) and a maintenance program (PE Planners). Take CHARGE was hypothesized to have greater improvements in BMI as a percentage of the 95th BMI Percentile (%BMIp95) than PE Planners. SUBJECTS/METHODS: From 2018 to 2020, 171 middle and high schoolers (BMI Percentile ≥ 85) were recruited from a Houston school district to participate in a staged obesity intervention in their physical education (PE) class. After receiving a semester-long intensive lifestyle intervention (ILI) with established efficacy, all participants were randomized to Take CHARGE (n = 85) or PE Planners (n = 86). Take CHARGE escalated the behavioral treatment of obesity received in ILI with more frequent individual sessions, additional opportunities for parental and school staff involvement, and increased mentorship from trained college students. PE Planners allowed participants to decide how they wanted to be active in PE class. Mixed linear modeling examined %BMIp95 overtime between groups. This trial was registered at ClinicalTrials.gov (#NCT04362280). RESULTS: Participants were 13.63 ± 1.32 years old; 59% were female, and 85% were Hispanic. Among those initially unresponsive to ILI, Take CHARGE had significantly greater decreases in %BMIp95 than PE Planners (ß = -0.01, p < 0.01). Conversely, among those initially responsive, Take CHARGE had significantly smaller decreases in %BMIp95 than PE Planners (ß = 0.02, p < 0.05). Intention-to-treat analysis had similar results. CONCLUSIONS: Participant outcomes in semester two differed based on initial response. Individuals responsive to initial intervention were most likely to benefit from a maintenance intervention and those initially unresponsive benefited more from escalated treatment. This indicates the need for staged intervention protocols to better address obesity in the school setting.

The Doctor Will "Friend" You Now: A Qualitative Study on Adolescents' Preferences for Weight Management App Features.

OBJECTIVES: Primary care providers report a lack of resources as a barrier to managing adolescent obesity. Mobile health applications (apps) may be helpful in weight management; however, adolescents' preferences for weight management app features are unknown. Our objectives were to provide insight into adolescents' preferred weight management app features and elicit facilitators and barriers to app use. METHODS: Using the qualitative content analysis method, 14 interviews with adolescents with overweight/obesity were conducted in rural and urban pediatric offices in South Carolina. Eligibility criteria included being 13 to 17 years old, having a body mass index at or above the 85th percentile for age and sex, and having access to a smartphone or tablet. Semistructured key informant interviews were conducted from May to October 2017. Participants were presented with three popular mobile health apps and asked to complete tasks and comment on their various features and usability. Summative content analysis coding was performed on interview transcripts, and interviews were conducted until thematic saturation was reached. RESULTS: Seventy-one percent of participants were from a rural practice, 64% were White, and 86% had a body mass index higher than the 95th percentile. Familiarity with similar apps and accessibility of apps on their smartphones promoted app use. The need for wireless Internet, operating difficulties, or privacy concerns were barriers. Nutritional education, physical activity tracking, and social connection were desirable app features. CONCLUSIONS: Adolescents have expressed preferred app features to help them manage weight; however, further work is needed to see whether these features are effective.

Extended follow-up of a short total diet replacement programme: results of the Doctor Referral of Overweight People to Low Energy total diet replacement Treatment (DROPLET) randomised controlled trial at 3 years.

OBJECTIVES: To test the long-term effectiveness of a total diet replacement programme (TDR) for routine treatment of obesity in a primary care setting. METHODS: This study was a pragmatic, two-arm, parallel-group, open-label, individually randomised controlled trial in adults with obesity. The outcomes were change in weight and biomarkers of diabetes and cardiovascular disease risk from baseline to 3 years, analysed as intention-to-treat with mixed effects models. INTERVENTIONS: The intervention was TDR for 8 weeks, followed by food-reintroduction over 4 weeks. Behavioural support was provided weekly for 8 weeks, bi-weekly for the next 4 weeks, then monthly for 3 months after which no further support was provided. The usual care (UC) group received dietary advice and behavioural support from a practice nurse for up to 3 months. RESULTS: Outcome measures were collected from 179 (66%) participants. Compared with baseline, at 3 years the TDR group lost -6.2 kg (SD 9.1) and usual care -2.7 kg (SD 7.7); adjusted mean difference -3.3 kg (95% CI: -5.2, -1.5), p < 0.0001. Regain from programme end (6 months) to 3 years was greater in TDR group +8.9 kg (SD 9.4) than UC + 1.2, (SD 9.1); adjusted mean difference +6.9 kg (95% CI 4.2, 9.5) P < 0.001. At 3 years TDR led to greater reductions than UC in diastolic blood pressure (mean difference -3.3 mmHg (95% CI:-6.2; -0.4) P = 0.024), and systolic blood pressure (mean differences -3.7 mmHg (95% CI: -7.4; 0.1) P = 0.057). There was no evidence of differences between groups in the change from baseline to 3 years HbA1c (-1.9 mmol/mol (95% CI: -0.7; 4.5; P = 0.15), LDL cholesterol concentrations (0.2 mmol/L (95% CI -0.3, 0.7) P = 0.39), cardiovascular risk score (QRISK2) (-0.37 (95% CI -0.96; 0.22); P = 0.22). CONCLUSIONS: Treatment of people with obesity with a TDR programme compared with support from a practice nurse leads to greater weight loss which persists to at least 3 years, but there was only evidence of sustained improvements in BP and not in other aspects of cardiometabolic risk.

Temporal patterns of physical activity in successful weight loss maintainers.

BACKGROUND/OBJECTIVES: Individuals successful at weight loss maintenance engage in high amounts of physical activity (PA). Understanding how and when weight loss maintainers accumulate PA within a day and across the week may inform PA promotion strategies and recommendations for weight management. METHODS: We compared patterns of PA in a cohort of weight loss maintainers (WLM, n = 28, maintaining ≥13.6 kg weight loss for ≥1 year, BMI 23.6 ± 2.3 kg/m2), controls without obesity (NC, n = 30, BMI similar to current BMI of WLM, BMI 22.8 ± 1.9 kg/m2), and controls with overweight/obesity (OC, n = 26, BMI similar to pre-weight loss BMI of WLM, 33.6 ± 5.1 kg/m2). PA was assessed during 7 consecutive days using the activPALTM activity monitor. The following variables were quantified; sleep duration, sedentary time (SED), light-intensity PA (LPA), moderate-to-vigorous intensity PA (MVPA), and steps. Data were examined to determine differences in patterns of PA across the week and across the day using mixed effect models. RESULTS: Across the week, WLM engaged in ≥60 min of MVPA on 73% of days, significantly more than OC (36%, p < 0.001) and similar to NC (59%, p = 0.10). Across the day, WLM accumulated more MVPA in the morning (i.e., within 3 h of waking) compared to both NC and OC (p < 0.01). WLM engaged in significantly more MVPA accumulated in bouts ≥10 min compared to NC and OC (p < 0.05). Specifically, WLM engaged in more MVPA accumulated in bouts of ≥60 min compared to NC and OC (p < 0.05). CONCLUSIONS: WLM engage in high amounts of MVPA (≥60 min/d) on more days of the week, accumulate more MVPA in sustained bouts, and accumulate more MVPA in the morning compared to controls. Future research should investigate if these distinct patterns of PA help to promote weight loss maintenance.

Factors associated with patient weight loss and prescribed diet during hospitalization.

INTRODUCTION: Objective: the aim of this study was to assess weight loss, diet prescribed, and nutritional status in hospitalized patients, as well as their associated factors. Methods: weight loss during hospitalization, nutritional status, disease type, and prescribed diet were investigated in a retrospective study in 621 hospitalized patients. The chi-squared, Fisher's, Mann-Whitney, and Kruskal-Wallis tests were used for statistical analysis. To identify factors associated with weight loss a logistic regression analysis was performed. The significance level adopted for statistical tests was 5 %. Results: patients who experienced weight loss during hospitalization were associated with longer hospital stays (p < 0.0001; OR = 1.052; 95 % CI = 1.030 to 1.073), malnourishment according to the subjective global assessment (p = 0.0358; OR = 1.520; 95 % CI = 1,028 to 2,248), digestive disorders (p = 0.0081; OR = 3.177; 95 % CI = 1.351 to 7.469), and digestive neoplasms (p = 0.0407; OR = 2.410; 95 % CI = 1.038 to 5.597). Conclusion: weight loss during hospitalization was associated with neoplasms, digestive diseases, malnutrition, and length of stay.

INTRODUCCIÓN: Objetivo: el objetivo de este estudio fue evaluar la pérdida de peso, la dieta prescrita y el estado nutricional de pacientes hospitalizados y sus factores asociados. Métodos: se investigó la pérdida de peso durante la hospitalización, el estado nutricional, el tipo de enfermedad y la dieta prescrita en un estudio retrospectivo de 621 pacientes hospitalizados. Las pruebas del chi cuadrado, Fisher, Mann-Whitney y Kruskal-Wallis se utilizaron para el análisis estadístico. Para identificar los factores asociados con la pérdida de peso se utilizó la regresión logística. El nivel de significación adoptado para las pruebas estadísticas fue del 5 %. Resultados: los casos de pérdida de peso durante la hospitalización se asociaron a las estancias hospitalarias más largas (p < 0,0001; OR = 1,052; IC 95 % = 1,030; 1,073), la desnutrición según la evaluación global subjetiva (p = 0,0358; OR = 1,520; IC 95 % = 1,028; 2,248) los trastornos digestivos (p = 0,0081; OR = 3,177; IC 95 % = 1,351; 7,469) y las neoplasias digestivas (p = 0,0407; OR = 2,410; IC 95 % = 1,038; 5,597). Conclusión: la pérdida de peso durante la hospitalización se asoció con las neoplasias y las enfermedades digestivas, la desnutrición y la duración de la estancia.

Clinical management and treatment of obesity in China.

China has one of the largest populations with obesity in the world, and obesity has become a major challenge for the country's health-care system. Current guidelines for obesity management are not adequately supported by evidence from clinical studies in Chinese populations. Effective lifestyle interventions suitable for Chinese populations are scarce, insufficient weight-loss medications have been approved by regulatory bodies, and there is low acceptance of non-lifestyle interventions (ie, medications and surgery) among both health-care providers and the general public. Large, well designed, and well implemented clinical trials are needed to strengthen the evidence base for the clinical management of obesity in China. Obesity management can be improved through use of a tiered system involving health management centres, integrated lifestyle interventions and medical treatments, strengthened obesity education and training, and use of advanced electronic health technologies. Resource mobilisation, support from major stakeholders for people with overweight or obesity, and education and changes to social norms among the wider public are also needed. National health policies should prioritise both obesity prevention and improvement of the treatment and management of obesity.

Halo effect of a Mediterranean-lifestyle weight-loss intervention on untreated family members' weight and physical activity: a prospective study.

OBJECTIVES: Obesity is subject to strong family clustering. The relatives of participants in weight-loss interventions may also modify their lifestyle and lose weight. The aim of this study was to examine the presence and magnitude of a halo effect in untreated family members of participants enrolled in a randomized, multi-component, lifestyle intervention. METHODS: A total of 148 untreated adult family members of participants in an intensive weight-loss lifestyle intervention (the PREDIMED-Plus study) were included. Changes at 1 and 2 years in body weight, physical activity, and adherence to a traditional Mediterranean diet (MedDiet) were measured. Generalized linear mixed models were used to assess whether the change differed between family members of the intervention group compared to the control. RESULTS: Untreated family members from the intervention group displayed a greater weight loss than those from the control after 1 and 2 years: adjusted 2-year weight change difference between groups was -3.98 (SE 1.10) kg (p < 0.001). There was a halo effect with regard to adherence to the MedDiet at one year which was sustained at two years: 2-year adjusted difference in MedDiet score change +3.25 (SE 0.46) (p < 0.001). In contrast, no halo effect was observed with regard to physical activity, as the untreated family members did not substantially modify their physical activity levels in either group, and the adjusted difference at two years between the 2 groups was -272 (SE 624) METs.min/week (p = 0.665). CONCLUSIONS: In the first prospective study to assess the influence on untreated family members of a diet and physical activity weight-loss intervention, we found evidence of a halo effect in relatives on weight loss and improvement in adherence to a MedDiet, but not on physical activity. The expansion of MedDiet changes from individuals involved in a weight-loss intervention to their family members can be a facilitator for obesity prevention.

Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.

OBJECTIVE: Self-monitoring is a core component of behavioral obesity treatment, but it is unknown how digital health has been used for self-monitoring, what engagement rates are achieved in these interventions, and how self-monitoring and weight loss are related. METHODS: This systematic review examined digital self-monitoring in behavioral weight loss interventions among adults with overweight or obesity. Six databases (PubMed, Embase, Scopus, PsycInfo, CINAHL, and ProQuest Dissertations & Theses) were searched for randomized controlled trials with interventions ≥ 12 weeks, weight outcomes ≥ 6 months, and outcomes on self-monitoring engagement and their relationship to weight loss. RESULTS: Thirty-nine studies from 2009 to 2019 met inclusion criteria. Among the 67 interventions with digital self-monitoring, weight was tracked in 72% of them, diet in 81%, and physical activity in 82%. Websites were the most common self-monitoring modality, followed by mobile applications, wearables, electronic scales, and, finally, text messaging. Few interventions had digital self-monitoring engagement rates ≥ 75% of days. Rates were higher in digital- than in paper-based arms in 21 out of 34 comparisons and lower in just 2. Interventions with counseling had similar rates to standalone interventions. Greater digital self-monitoring was linked to weight loss in 74% of occurrences. CONCLUSIONS: Self-monitoring via digital health is consistently associated with weight loss in behavioral obesity treatment.

Patients Desire Personalized, Specific, and Continuous Advice on Weight Management.

OBJECTIVE: To deliver effective care, healthcare systems should understand patients' preferences for weight management across a spectrum of needs. Our objective was to describe patients' perceptions of what helps or hinders weight loss and maintenance. METHODS: Semistructured interviews were conducted with patients who accessed weight management services at a large integrated health system in 2018. The interview guide was developed and iteratively refined through a literature search and by consulting experts. Questions included the respondent's weight history, interactions with the health system, and current health status. The analysis used a grounded theory approach, and each transcript was double-coded in 2019. Codes were sorted into themes. All discrepancies were resolved through team discussion. RESULTS: Fifteen patients were interviewed. The majority of respondents (87%) reported multiple weight loss attempts. Three themes were identified. First, advice should be matched to a patient's knowledge and prior experience (eg, using bariatric deck cards). As patients progressed, clinician advice also needed to advance (eg, explaining how to expand food options instead of defining a healthy diet). Second, respondents had a variety of motivating factors, and understanding where motivation is generated from can inform how to design a weight management approach. Third, patients need continual and long-term advice. Some respondents feared becoming ineligible for services if their weight dropped too much. CONCLUSIONS: Health systems can support patients by developing processes for identifying the extent of a patient's knowledge and giving personalized advice based on the patient's preferences and experiences. Reassessing needs at defined intervals may help patients attain and sustain their goals.

Socio-demographic predictors of uptake of a virtual group weight management program during the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has had a significant adverse impact on the delivery of weight management programmes (WMPs), in order to ensure the safety of patients and healthcare professionals. Videoconferencing could provide safe remote access to group WMPs during the COVID-19 pandemic. The objectives of this study were to determine the uptake of a virtual group WMP and its predictors. METHODS: All patients enrolled on a face-to-face group WMP, which constitutes part of a Tier 3 WMP delivered by the NHS, at the time of the COVID-19 pandemic lockdown were invited to transfer to a virtual format of the group WMP. Baseline data included weight, BMI, age, gender, ethnicity and Index of Multiple Deprivation (IMD) quintile score. The outcomes were accept/decline transfer to the virtual group WMP. Logistic regression was performed to assess for predictors of uptake. RESULTS: The 315 participants were included, of which 72.1% (n = 227) accepted. After adjusting for gender, deprivation and BMI; older patients (OR 0.966, [95% CI 0.944, 0.989]; p = 0.003) and Black, Asian and Minority Ethnicity (BAME) patients (OR 0.460 [95% 0.248, 0.851]; p = 0.023) were less likely to accept the virtual group WMP. CONCLUSION: Strategies aimed at improving uptake of group WMP among BAME and older adult groups are needed, particularly considering the increased risk of severe COVID-19 in these two groups, and the links between obesity and poor COVID-19 outcomes.

Changes in the Prevalence and Correlates of Weight-Control Behaviors and Weight Perception in Adolescents in the UK, 1986-2015.

Importance: In the context of the growing prevalence of childhood obesity, behaviors aimed at weight loss and their psychological burden might be increasing. Objective: To investigate whether the prevalence of weight-control behaviors and weight perception, including their association with depressive symptoms, has changed in the 3 decades between 1986 and 2015. Design, Setting, and Participants: This study used data from repeated cross-sections from successive longitudinal birth cohort studies. These included general population samples of UK adolescents aged 14 to 16 years from 3 ongoing birth cohorts: the British Cohort Study 1970 (children born between April 5 and 11, 1970; data collected in 1986), the Avon Longitudinal Study of Parents and Children (mothers with expected delivery between April 1, 1991, and December 21, 1992; data collected in 2005), and the Millennium Cohort Study (children born between September 1, 2000, and January 11, 2002; data collected in 2015). A total of 22 503 adolescents with data available on at least 1 weight-control or weight-perception variable in midadolescence were included in the study. Data were analyzed from August 1, 2019, to January 15, 2020. Main Outcomes and Measures: Self-reported lifetime dieting and exercise for weight loss, current intentions about weight (doing nothing, lose weight, stay the same, gain weight), and weight perception (underweight, about the right weight, overweight) adjusted for body mass index. The secondary outcome was depressive symptoms. Exposures: The main exposure was time (ie, cohort); secondary exposures were weight-change behaviors and weight perception. Results: The study cohort included 22 503 adolescents (mean [SD] age, 14.8 [0.3] years; 12 061 girls [53.6%]; and 19 942 White individuals [89.9%]). A total of 5878 participants were from the British Cohort Study, 5832 were from the Avon Longitudinal Study of Parents and Children, and 10 793 were from the Millennium Cohort Study. In 2015, 4809 participants (44.4%) had dieted and 6514 (60.5%) had exercised to lose weight compared with 1952 (37.7%) and 344 (6.8%) in 1986. Furthermore, 4539 (42.2%) were trying to lose weight in 2015 compared with 1767 (28.6%) in 2005. Although girls were more likely to report these behaviors in all years, their prevalence increased more in boys over time (lifetime dieting in boys: odds ratio [OR], 1.79; 95% CI, 1.24-2.59; in girls: OR, 1.23; 95% CI, 0.91-1.66; currently trying to lose weight in boys: OR, 2.75; 95% CI, 2.38-3.19; in girls: OR, 1.70; 95% CI, 1.50-1.92). Adolescents also became more likely to overestimate their weight (boys describing themselves as overweight adjusting for body mass index, 2005 vs 1985 OR, 1.60; 95% CI, 1.17-2.19; 2015 vs 1985 OR, 1.36; 95% CI, 1.04-1.80; girls describing themselves as underweight, after adjusting for body mass index, 2015 vs 1986 OR, 0.51; 95% CI, 0.28-0.91). Girls who described themselves as overweight experienced increasingly greater depressive symptoms over time compared to girls who described their weight as about right (mean difference 1986, 0.32; 95% CI, 0.22-0.41; mean difference 2005, 0.33; 95% CI, 0.24-0.42; mean difference 2015, 0.56; 95% CI, 0.49-0.62). Conclusions and Relevance: These findings suggest that the growing focus on obesity prevention might have had unintended consequences related to weight-control behaviors and poor mental health. Public health campaigns addressing obesity should include prevention of disordered eating behaviors and be sensitive to negative impact on mental health.

A qualitative study of men's behavioural changes during weight loss maintenance.

AIM: This study aims to understand the behaviour changes men who attended a weight loss programme engage in during weight maintenance. Understanding the needs of men in the context of weight loss maintenance is important, as they are underrepresented in this body of literature. METHOD: Given its focus on personal experience, this study adopted a qualitative design. Semi-structured interviews supported by participant-generated photo-elicitation techniques to explore the behavioural changes 12 men engaged in 6 months after attending a men-only weight loss programme. Data analysis was undertaken through thematic analysis and Gleeson's polytextual thematic analysis. RESULTS: This study suggests that the key behaviours men engaged in to maintain weight loss can be classified into four categories: (1) 'Small' changes, (2) Informed decisions, (3) Monitoring of behaviours, and (4) Dealing with ambivalence. CONCLUSION: This study makes an original contribution to knowledge and can have important implications for practice in the area of men's health, particularly with regard to the long-term impact of weight loss interventions.

Nocturnal eating but not binge eating disorder is related to less 12 months' weight loss in men and women with severe obesity: A retrospective cohort study.

There is a paucity of studies on the frequency of binge-eating disorder (BED) and nocturnal eating (NE) and their potential role as barriers in non-surgical weight loss treatment in subjects with severe obesity (body mass index [BMI] ≥35 kg m2 ). The aim was to identify BED and NE, and their effect on weight loss treatment. In total, 1132 (727 women, 405 men), BMI ~41 kg/m2 were patients in a 12-month weight loss programme at a specialist clinic. The questionnaire for eating and weight patterns-revised was completed by the patients before start of treatment. BED was diagnosed in 5.1% of men and 12.4% of women. NE prevalence was 13.5% and 12.7%, respectively. Mean (±SEM) 12-month weight loss was less in patients with NE compared to those without (-11.0 ± 1.5 vs -14.6 ± 0.7 kg, P = .008) but did not differ in patients with and without BED, (-12.3 ± 1.9 vs -14.2 ± 0.6 kg, P = .24). Factors associated with dropout were BED (odds ratio, OR 1.57, 95% confidence interval (CI) 1.14-2.17; P = .006) and previous weight loss attempts (OR 1.35, 95% CI 1.0-1.7; P = .02). BED did not seem to hinder weight loss whereas NE resulted in less weight loss in patients with severe obesity who completed a 12-month treatment programme. Previous weight loss attempts affect both dropout and ability to lose weight.