No medication prescription and residential distance from the hospital are important factors associated with nonsurgical weight-loss treatment discontinuance in Japanese patients with high-degree obesity: a retrospective study.

BACKGROUND: Although the percentage of the population with a high degree of obesity (body mass index [BMI] ≥ 35 kg/m2) is low in Japan, the prevalence of obesity-related diseases in patients with high-degree obesity is greater than that in patients with a BMI < 35 kg/m2. Therefore, treatment for high-degree obesity is important. However, clinical studies have reported that 20-50% of patients with obesity discontinue weight-loss treatment in other countries. The circumstances surrounding antiobesity agents are quite different between Japan and other countries. In this study, we investigated the predictors of treatment discontinuation in Japanese patients with high-degree obesity. METHODS: We retrospectively reviewed the medical charts of 271 Japanese patients with high-degree obesity who presented at Toho University Sakura Medical Center for obesity treatment between April 1, 2014, and December 31, 2017. The patients were divided into non-dropout and dropout groups. Patients who discontinued weight-loss treatment within 24 months of the first visit were defined as "dropouts." Multivariate Cox proportional hazards regression analysis and Kaplan-Meier survival analysis were performed to examine the factors predicting treatment withdrawal. RESULTS: Among the 271 patients, 119 (43.9%) discontinued treatment within 24 months of the first visit. The decrease in BMI did not significantly differ between the two groups. No prescription of medication and residential distance from the hospital exceeding 15 km were the top contributors to treatment discontinuation, and the absence of prescription medication was the most important factor. The dropout-free rate was significantly higher in patients with medication prescriptions than in those without and in patients who lived within 15 km of the hospital than in those who lived farther than 15 km from the hospital. CONCLUSIONS: No medication prescription and longer residential distance from the hospital were associated with treatment dropout in Japanese patients with high-degree obesity; therefore, the addition of antiobesity medications and telemedicine may be necessary to prevent treatment discontinuation in such patients.

App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data.

BACKGROUND: Early weight loss is an established predictor for treatment outcomes in weight management interventions for people with obesity. However, there is a paucity of additional, reliable, and clinically actionable early predictors in weight management interventions. Novel blended-care weight management interventions combine coach and app support and afford new means of structured, continuous data collection, informing research on treatment adherence and outcome prediction. OBJECTIVE: Against this backdrop, this study analyzes app engagement as a predictor for weight loss in large-scale, real-world, blended-care interventions. We hypothesize that patients who engage more frequently in app usage in blended-care treatment (eg, higher logging activity) lose more weight than patients who engage comparably less frequently at 3 and 6 months of intervention. METHODS: Real-world data from 19,211 patients in obesity treatment were analyzed retrospectively. Patients were treated with 3 different blended-care weight management interventions, offered in Switzerland, the United Kingdom, and Germany by a digital behavior change provider. The principal component analysis identified an overarching metric for app engagement based on app usage. A median split informed a distinction in higher and lower engagers among the patients. Both groups were matched through optimal propensity score matching for relevant characteristics (eg, gender, age, and start weight). A linear regression model, combining patient characteristics and app-derived data, was applied to identify predictors for weight loss outcomes. RESULTS: For the entire sample (N=19,211), mean weight loss was -3.24% (SD 4.58%) at 3 months and -5.22% (SD 6.29%) at 6 months. Across countries, higher app engagement yielded more weight loss than lower engagement after 3 but not after 6 months of intervention (P3 months<.001 and P6 months=.59). Early app engagement within the first 3 months predicted percentage weight loss in Switzerland and Germany, but not in the United Kingdom (PSwitzerland<.001, PUnited Kingdom=.12, and PGermany=.005). Higher age was associated with stronger weight loss in the 3-month period (PSwitzerland=.001, PUnited Kingdom=.002, and PGermany<.001) and, for Germany, also in the 6-month period (PSwitzerland=.09, PUnited Kingdom=.46, and PGermany=.03). In Switzerland, higher numbers of patients' messages to coaches were associated with higher weight loss (P3 months<.001 and P6 months<.001). Messages from coaches were not significantly associated with weight loss (all P>.05). CONCLUSIONS: Early app engagement is a predictor of weight loss, with higher engagement yielding more weight loss than lower engagement in this analysis. This new predictor lends itself to automated monitoring and as a digital indicator for needed or adapted clinical action. Further research needs to establish the reliability of early app engagement as a predictor for treatment adherence and outcomes. In general, the obtained results testify to the potential of app-derived data to inform clinical monitoring practices and intervention design.

Psychometric Properties of the Weight Loss Readiness Test in Active Duty Military Personnel Enrolled in a Weight Management Trial.

INTRODUCTION: The Weight Loss Readiness Test (WLRT) was developed to encourage consideration of factors influencing readiness to engage in weight loss. The WLRT is used clinically, most notably to assess motivation before initiating Navy weight management programs, yet little is known about its psychometric properties. MATERIALS AND METHODS: This study examined the reliability, convergent and predictive validity, and factor structure of the WLRT in a sample of active duty service members enrolling in a Navy-based weight management program (N = 178, identified as female = 61%, mean age = 29.7 years, mean baseline body mass index = 33.1 kg/m2). All procedures were approved by the respective Institutional Review Boards and research committees. RESULTS: Exploratory factor analysis revealed a 5-factor structure explaining 52% of the variance that best fit the data with low to moderate correlations between factors: (1) Motivation, (2) Exercise-Related Confidence, (3) Non-Exercise Confidence, (4) Cues, and (5) Anticipated Satisfaction. Internal reliability of subscales was acceptable to good (α = 0.755-0.903). Generally, convergent validity was found between the identified subscales and other measures of motivation, confidence, and disinhibited eating in expected directions. No relationships were found between the subscales and predictive validity outcomes (weight change, program attendance). CONCLUSIONS: Results indicate adequate structural and convergent validity in the WLRT, but that weight loss readiness, as measured by the WLRT, does not provide predictive validity regarding weight loss or attendance outcomes in this sample. Nonetheless, this measure offers clinical utility in fostering thoughtful conversations about weight loss. The WLRT uniquely focuses on long-term maintenance of behavior change and differentiates between exercise-related and non-exercise confidence. Future studies should further probe the utility of this measure in other populations and the contexts in which it is being used.

A Primary Care-Based Weight Navigation Program.

Importance: Evidence-based weight management treatments (WMTs) are underused; strategies are needed to increase WMT use and patients' weight loss. Objective: To evaluate the association of a primary care-based weight navigation program (WNP) with WMT use and weight loss. Design, Setting, and Participants: This cohort study comprised a retrospective evaluation of a quality improvement program conducted from October 1, 2020, to September 30, 2021. Data analysis was performed from August 2, 2022, to March 7, 2024. Adults with obesity and 1 or more weight-related condition from intervention and control sites in a large academic health system in the Midwestern US were propensity matched on sociodemographic and clinical factors. Exposure: WNP, in which American Board of Obesity Medicine-certified primary care physicians offered weight-focused visits and guided patients' selection of preference-sensitive WMTs. Main Outcomes and Measures: Primary outcomes were feasibility measures, including rates of referral to and engagement in the WNP. Secondary outcomes were mean weight loss, percentage of patients achieving 5% or more and 10% or more weight loss, referral to WMTs, and number of antiobesity medication prescriptions at 12 months. Results: Of 264 patients, 181 (68.6%) were female and mean (SD) age was 49.5 (13.0) years; there were no significant differences in demographic characteristics between WNP patients (n = 132) and matched controls (n = 132). Of 1159 WNP-eligible patients, 219 (18.9%) were referred to the WNP and 132 (11.4%) completed a visit. In a difference-in-differences analysis, WNP patients lost 4.9 kg more than matched controls (95% CI, 2.11-7.76; P < .001), had 4.4% greater weight loss (95% CI, 2.2%-6.4%; P < .001), and were more likely to achieve 5% or more weight loss (odds ratio [OR], 2.90; 95% CI, 1.54-5.58); average marginal effects, 21.2%; 95% CI, 8.8%-33.6%) and 10% or more weight loss (OR, 7.19; 95% CI, 2.55-25.9; average marginal effects, 17.4%; 95% CI, 8.7%-26.2%). Patients in the WNP group were referred at higher rates to WMTs, including bariatric surgery (18.9% vs 9.1%; P = .02), a low-calorie meal replacement program (16.7% vs 3.8%; P < .001), and a Mediterranean-style diet and activity program (10.6% vs 1.5%; P = .002). There were no between-group differences in antiobesity medication prescribing. Conclusions and Relevance: The findings of this cohort study suggest that WNP is feasible and associated with greater WMT use and weight loss than matched controls. The WNP warrants evaluation in a large-scale trial.

The Impact of COVID-19 on Health Behavior Engagement and Psychological and Physical Health Among Active Duty Military Enrolled in a Weight Management Intervention: An Exploratory Study.

INTRODUCTION: The COVID-19 pandemic profoundly affected the health and well-being of people globally. Some studies suggest individuals with overweight or obesity may have been more adversely impacted by pandemic restrictions. Additionally, military personnel may have been more vulnerable to stress during the pandemic because of job demands (e.g., work in close quarters). Our research group was conducting a randomized clinical trial of a weight management intervention in active duty military personnel with overweight or obesity when the COVID-19 pandemic struck. Thus, we collected additional pandemic-related data from participants enrolled during the COVID-19 pandemic and conducted exploratory analyses to understand how the pandemic affected their stress levels and perceived abilities to engage in health behaviors like exercise and healthy eating. The aims of this exploratory study were to: (1) assess associations between pandemic-related stress and health behaviors with body fat percentage (BF%) and psychological and physical health, and (2) explore how pandemic-related stress and health behaviors affected BF% during and after the intervention. MATERIALS AND METHODS: A total of 29 active duty Navy personnel (55% female, 69% White) were enrolled after the onset of pandemic restrictions and completed measures assessing pandemic-related stress and health behaviors as well as measures of general psychological and physical health before the intervention. BF% was collected at 5 timepoints, including baseline, during, and following the intervention. Bivariate correlations assessed associations at baseline. Linearmixed-effects longitudinal models explored how pandemic-related stress and health behaviors affected BF%. Post-hoc analyses evaluated the effects of pandemic factors on BF% at each timepoint. RESULTS: Most participants perceived of the pandemic as increasing stress and detracting from their abilities to engage in health behaviors (i.e., exercise and healthy eating). Higher pandemic stress was significantly associated with reporting exercise and healthy eating as more difficult, worse overall health, and more anxiety and general stress. Reporting exercise as harder during the pandemic also was associated with more psychological distress at baseline. A linearmixed- effects model controlling for age, sex, and number of intervention sessions attended revealed endorsing "exercise as harder" was associated with higher BF%. Post-hoc regression analyses revealed rating "exercise as harder" significantly predicted higher BF% 3 months post-intervention (B = 0.65, P = .01), whereas pandemic stress was not significantly associated with higher BF% at 3 month (B =0.14, P = .08) or 6 month (B = 0.21, P = .09) follow-up. CONCLUSIONS: As expected, most participants perceived of the pandemic as heightening stress and interfering with engagement in health behaviors. It is possible that pandemic-related stress may have exacerbated weight gain-promoting behaviors and/or interfered with achievement of desired weight management outcomes. Outside the context of the pandemic, it may be beneficial for healthcare providers to screen individuals for stress and perceptions of ease of engagement in health behaviors before enrollment in a weight management intervention. Further, tailoring interventions to mitigate stress and promote perceptions of ease in engaging in health behaviors may promote better weight management outcomes.

Behavioral weight management use in the Veterans Health Administration: Sociodemographic and health correlates.

INTRODUCTION: Over 40 % of United States Veterans Health Administration (VHA) primary care patients have obesity. Few patients use VHA's flagship weight management program, MOVE! and there is little information on other behavioral weight management program use. METHODS: The national United States cohort included over 1.5 million primary care patients with obesity, age 18-79, based on VHA administrative data. Gender stratified multivariable logistic regression identified correlates of weight management use in the year after a patient's first primary care appointment (alpha of 0.05). Weight management use was defined as MOVE! or nutrition clinic visits. RESULTS: The cohort included 121,235 women and 1,521,547 men with 13 % and 7 % using weight management, respectively. Point estimates for specific correlates of use were similar between women and men, and across programs. Black patients were more likely to use weight management than White patients. Several physical and mental health diagnoses were also associated with increased use, such as sleep apnea and eating disorders. Age and distance from VHA were negatively associated with weight management use. CONCLUSIONS: When assessing multiple types of weight management visits, weight management care in VHA appears to be used more often by some populations at higher risk for obesity. Other groups may need additional outreach, such as those living far from VHA. Future work should focus on outreach and prevention efforts to increase overall use rates. This work could also examine the benefits of tailoring care for populations in greatest need.

An exploration of extreme obesity and weight loss management for adults in rural, remote, and regional areas: a systematic review.

BACKGROUND: Extreme obesity is a global health issue impacting health and related health outcomes. Although extreme obesity is prevalent across all geographical settings, the condition is more common in geographically isolated locations. The success of mainstream weight loss strategies such as surgery, exercise, and dietary information within these communities remains unknown, and it is unclear if isolation facilitates or hinders treatment for weight management. AIM: This review aimed to identify common themes around weight loss and health and social impacts for extremely obese adults living in rural, remote, and regional locations. METHODS: A systematic literature review of peer-reviewed publications from May 2013 to May 2023 was undertaken and appraised using the Mixed Method Appraisal Tool (MMAT). Sequential synthesis was thematically analysed and described within a narrative account. Earlier dates were not included as initial research indicated a global surge in obesity within the early 2010s (Wang, Y., Beydoun, M. A., Min, J., Xue, H., Kaminsky, L. A., & Cheskin, L. J. (2020). Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. International Journal of Epidemiology, 49(3), 810-823) and a surge in bariatric treatments for the management of extreme obesity was noted around the same time (Mocanu, V., Dang, J. T., Sun, W., Birch, D. W., Karmali, S., & Switzer, N. J. (2020). An evaluation of the modern North American bariatric surgery landscape: current trends and predictors of procedure selection. Obesity Surgery, 30, 3064-3072). RESULTS: This review identified 13 studies that reported negative trends in extreme obesity for isolated locations linked to gender, culture, and poor mental health. Individualised and community models of weight loss support can be positive for certain demographic groups, specifically females, through the promotion of cost-effective, and locally available traditional food choices. CONCLUSION: Living with extreme obesity within geographically isolated locations and losing weight is challenging for women, Indigenous peoples, and people with low literacy and those from lower socio-economic backgrounds. Generalised advice about weight loss is often unsuccessful; however, weight loss is achievable with consumer engagement which considers the influence and impact of rurality. Further research focusing on individualised nursing models for managing morbid obesity within isolated locations is required.

Assessment of Adverse Childhood Experiences and Social Determinants of Health: A Survey of Practices in Pediatric Weight Management Programs.

Introduction: Adverse childhood experiences (ACEs) and social determinants of health (SDoH) are associated with increased incidence of pediatric obesity. Recent literature highlights an imperative need to assess ACEs and SDoH among youth and families with obesity to identify those individuals requiring targeted interventions. The primary objective of the present study was to examine the frequency, methodology, and barriers in evaluation of ACEs and SDoH within pediatric weight management programs (PWMPs). Methods: Invitations were e-mailed to a comprehensive directory of 92 PWMPs in the United States with a link to complete an electronic survey. Results: Forty-one PWMPs from 26 states completed the survey. Assessment of one or more ACEs and SDoH was common and typically took place during the initial patient visit by the psychologist or medical practitioner through unstructured conversations. Reported barriers to assessment included lack of time to assess and to follow-up, lack of clinic protocols, and inadequate referral resources. Programs offering bariatric surgery and those with embedded mental health clinicians reported fewer barriers to ACEs/SDoH referral resources, while family-based and healthy lifestyle-focused programs perceived more barriers related to insufficient support staff and time to follow-up with families. Conclusions: Most PWMPs assess a subset of ACEs and SDoH; however, approaches to assessment vary, are often unstructured, and several barriers remain to optimizing assessment and follow-up. Future research should evaluate standardized ACEs/SDoH assessment protocols, ideal workflow, and their impact on obesity treatment and related health outcomes.

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.