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Differences in calorie prescriptions between approaches were significant; however, it remains to be determined whether measuring RMR is worth the cost, time, and participant burden. It may be the case that this consideration has greater impact for certain subgroups-namely, women and Black participants.

Differences in calorie prescriptions between approaches were significant; however, it remains to be determined whether measuring RMR is worth the cost, time, and participant burden. It may be the case that this consideration has greater impact for certain subgroups-namely, women and Black participants.

Parents are increasingly pursuing weight loss in medical weight management programs, yet little is known about the presenting behaviors and practices of children who have parents initiating these programs.

To describe congruence in weight control practices, sedentary and screen time behaviors, and family functioning and communication between parents initiating a medical weight management program and their children (ages 7-18).

Twenty-three dyads were enrolled and had measured height/weight and research packets completed including perceived weight status, weight control practices, sedentary and screen-time behaviors, and family functioning and communication. Paired

-tests and intraclass correlations assessed congruence; independent

-tests determined differences based on child demographics (age, sex, and weight status).

Parents underestimated children's use of weight control practices compared to child reports. Children with overweight, males, and older in age had increased weight control practices and sedentary and screen-time behaviors. Children who perceived themselves to have overweight reported more impaired family communication than children perceived to be a healthy weight.

This study highlights the discrepancy between dyads' reports of children's behaviors, and identifies that specific child populations with overweight, older in age, and males are at-risk of experiencing less healthy behaviors and impaired family communication. Future research should monitor changes over time in parental weight management programs to determine effects based on parental weight loss.

This study highlights the discrepancy between dyads' reports of children's behaviors, and identifies that specific child populations with overweight, older in age, and males are at-risk of experiencing less healthy behaviors and impaired family communication. Future research should monitor changes over time in parental weight management programs to determine effects based on parental weight loss.

Long-term effects of behavioral weight loss maintenance interventions need to be assessed in order to understand their durability of effects. This can be evaluated with the use of weights recorded in the electronic medical record. The goal of this study was to use electronic health record (EHR)-recorded weight to examine outcomes 2 years beyond the completion of a trial in which participants were randomized to receive a weight maintenance intervention or usual care after required initial weight loss.

Weights collected in the Veteran's Affairs national EHR were obtained for 2 years following trial completion. Outliers and implausible weights were identified and removed prior to analysis. Mixed-effects models with quadratic time were fit to estimate between-arm differences in weight change.

Model-estimated weight at trial completion was 109.7kg for usual care and 106.8kg for intervention, estimated difference of -2.9kg (95% confidence interval [CI] -8.8, 3.0;

=0.34). Two years later, estimated mean weight collected from (

=211) participants with available EMR weights was 111.5kg for usual care and 108.0kg for intervention, estimated difference -3.4kg (95% CI -9.3, 2.4kg;

=0.35).

While not statistically significant, weights from the EHR suggest the possibility of a clinically meaningful difference that should be confirmed by future adequately powered studies.

While not statistically significant, weights from the EHR suggest the possibility of a clinically meaningful difference that should be confirmed by future adequately powered studies.

Many countries have implemented various levels of lockdown to mitigate the spread of the global SARS-CoV-2 pandemic. In the United Kingdom, the national lockdown restrictions were implemented between 26 March 2020 and 4 July 2020. learn more These restrictions required all restaurants to close except for takeaway and delivery services. Moreover, individuals were instructed to largely stay in their homes, unless they were identified as essential workers, and to only leave home once per day for exercise. These restrictions might have an impact on energy intake and expenditure, thereby affecting their body weight.

The aim of this study was to investigate the impact of the movement restrictions in the United Kingdom on food outlet usage and body mass index (BMI).

Food outlet usage surveys were filled out for 7 consecutive days before and during the lockdown. Changes in BMI and food outlet usage before and during the lockdown were measured. A total of 206 participants were included in this study.

The mean overall BMIs.

Behavioral obesity interventions using an acceptance-based therapy (ABT) approach have demonstrated efficacy for adults, yet feasibility and acceptability of tailoring an ABT intervention for adolescents remains unknown.

This study assessed the feasibility and acceptability of an ABT healthy lifestyle intervention among diverse adolescent cisgender girls with overweight/obesity (OW/OB).

Adolescent cisgender girls aged 14-19 with a BMI of ≥85th percentile-for-sex-and-age were recruited for participation in a single-arm feasibility study. The primary outcomes were recruitment and retention while the secondary outcome was change in BMI Z-score over the 6-month intervention. Exploratory outcomes included obesity-related factors, health-related behaviors, and psychological factors.

Recruitment goals were achieved; 13 adolescents (>60% racial/ethnic minorities) participated in the intervention, and 11 completed the intervention (85% retention). In completers (

=11), a mean decrease in BMI Z-score of -0.