Alaina P. Vidmar, Sarah J. Salvy, Choo Phei Wee, Robert Pretlow, D. Steven Fox, Jennifer K. Yee, Cambria Garell, Suzette Glasner, Steven D. Mittelman
{"title":"基于成瘾的数字减肥干预:一项多中心随机对照试验","authors":"Alaina P. Vidmar, Sarah J. Salvy, Choo Phei Wee, Robert Pretlow, D. Steven Fox, Jennifer K. Yee, Cambria Garell, Suzette Glasner, Steven D. Mittelman","doi":"10.1111/ijpo.12990","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>This randomized clinical trial tested the effectiveness of an addiction-based digital weight-loss intervention, focusing on withdrawal/abstinence from self-identified problem foods, snacking and excessive amounts at meals, and discomfort displacement, with and without coaching, compared to an in-person, multi-disciplinary, care model among adolescents with obesity. We hypothesized that the digital intervention with coaching would yield greater weight loss and lower delivery burden than the standard clinical arm, and greater participant engagement than the digital arm without coaching.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Adolescents were randomized to app intervention, with or without coaching, or in-person multidisciplinary obesity intervention for 6 months. The primary outcome was change in %BMI<sub>p95</sub> at weeks 12 and 24. A mixed-effects linear regression model was used to assess the association between change in %BMI<sub>p95</sub> and intervention arm. We were also interested in assessing delivery burden, participant engagement and evaluating the relationships between weight change and demographic characteristics, mood, executive function and eating behaviours.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>All adolescents (<i>n</i> = 161; BMI ≥95th%, age 16 ± 2.5 year; 47% Hispanic, 65% female, 59% publicly insured) lost weight over 24-weeks (−1.29%, [−1.82, −0.76], <i>p</i> < 0.0001), with no significant weight loss difference between groups (<i>p</i> = 0.3). Girls lost more weight than boys, whereas binge eating behaviour at baseline was associated with increase in %BMI<sub>p95</sub> when controlling for other covariates. There was no association between ethnicity, mood, timing of intervention in relation to the pandemic, or executive function and change in %BMI<sub>p95</sub>.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Contrary with our hypothesis, our results showed no difference in the change in BMI status between treatment arms. Since efficacy of this digital intervention was not inferior to in-person, multi-disciplinary care, this could offer a reasonable weight management option for clinicians, based on youth and family specific characteristics, such as accessibility, resources, and communication styles.</p>\n \n <p><b>Clinical Trial Registration</b>: ClinicalTrials.gov identifier: NCT035008353</p>\n </section>\n </div>","PeriodicalId":217,"journal":{"name":"Pediatric Obesity","volume":"18 3","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12990","citationCount":"0","resultStr":"{\"title\":\"An addiction-based digital weight loss intervention: A multi-centre randomized controlled trial\",\"authors\":\"Alaina P. Vidmar, Sarah J. Salvy, Choo Phei Wee, Robert Pretlow, D. Steven Fox, Jennifer K. Yee, Cambria Garell, Suzette Glasner, Steven D. Mittelman\",\"doi\":\"10.1111/ijpo.12990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>This randomized clinical trial tested the effectiveness of an addiction-based digital weight-loss intervention, focusing on withdrawal/abstinence from self-identified problem foods, snacking and excessive amounts at meals, and discomfort displacement, with and without coaching, compared to an in-person, multi-disciplinary, care model among adolescents with obesity. We hypothesized that the digital intervention with coaching would yield greater weight loss and lower delivery burden than the standard clinical arm, and greater participant engagement than the digital arm without coaching.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Adolescents were randomized to app intervention, with or without coaching, or in-person multidisciplinary obesity intervention for 6 months. The primary outcome was change in %BMI<sub>p95</sub> at weeks 12 and 24. A mixed-effects linear regression model was used to assess the association between change in %BMI<sub>p95</sub> and intervention arm. We were also interested in assessing delivery burden, participant engagement and evaluating the relationships between weight change and demographic characteristics, mood, executive function and eating behaviours.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>All adolescents (<i>n</i> = 161; BMI ≥95th%, age 16 ± 2.5 year; 47% Hispanic, 65% female, 59% publicly insured) lost weight over 24-weeks (−1.29%, [−1.82, −0.76], <i>p</i> < 0.0001), with no significant weight loss difference between groups (<i>p</i> = 0.3). Girls lost more weight than boys, whereas binge eating behaviour at baseline was associated with increase in %BMI<sub>p95</sub> when controlling for other covariates. There was no association between ethnicity, mood, timing of intervention in relation to the pandemic, or executive function and change in %BMI<sub>p95</sub>.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Contrary with our hypothesis, our results showed no difference in the change in BMI status between treatment arms. Since efficacy of this digital intervention was not inferior to in-person, multi-disciplinary care, this could offer a reasonable weight management option for clinicians, based on youth and family specific characteristics, such as accessibility, resources, and communication styles.</p>\\n \\n <p><b>Clinical Trial Registration</b>: ClinicalTrials.gov identifier: NCT035008353</p>\\n </section>\\n </div>\",\"PeriodicalId\":217,\"journal\":{\"name\":\"Pediatric Obesity\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ijpo.12990\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pediatric Obesity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ijpo.12990\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pediatric Obesity","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijpo.12990","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
An addiction-based digital weight loss intervention: A multi-centre randomized controlled trial
Objective
This randomized clinical trial tested the effectiveness of an addiction-based digital weight-loss intervention, focusing on withdrawal/abstinence from self-identified problem foods, snacking and excessive amounts at meals, and discomfort displacement, with and without coaching, compared to an in-person, multi-disciplinary, care model among adolescents with obesity. We hypothesized that the digital intervention with coaching would yield greater weight loss and lower delivery burden than the standard clinical arm, and greater participant engagement than the digital arm without coaching.
Methods
Adolescents were randomized to app intervention, with or without coaching, or in-person multidisciplinary obesity intervention for 6 months. The primary outcome was change in %BMIp95 at weeks 12 and 24. A mixed-effects linear regression model was used to assess the association between change in %BMIp95 and intervention arm. We were also interested in assessing delivery burden, participant engagement and evaluating the relationships between weight change and demographic characteristics, mood, executive function and eating behaviours.
Results
All adolescents (n = 161; BMI ≥95th%, age 16 ± 2.5 year; 47% Hispanic, 65% female, 59% publicly insured) lost weight over 24-weeks (−1.29%, [−1.82, −0.76], p < 0.0001), with no significant weight loss difference between groups (p = 0.3). Girls lost more weight than boys, whereas binge eating behaviour at baseline was associated with increase in %BMIp95 when controlling for other covariates. There was no association between ethnicity, mood, timing of intervention in relation to the pandemic, or executive function and change in %BMIp95.
Conclusions
Contrary with our hypothesis, our results showed no difference in the change in BMI status between treatment arms. Since efficacy of this digital intervention was not inferior to in-person, multi-disciplinary care, this could offer a reasonable weight management option for clinicians, based on youth and family specific characteristics, such as accessibility, resources, and communication styles.
期刊介绍:
Pediatric Obesity is a peer-reviewed, monthly journal devoted to research into obesity during childhood and adolescence. The topic is currently at the centre of intense interest in the scientific community, and is of increasing concern to health policy-makers and the public at large.
Pediatric Obesity has established itself as the leading journal for high quality papers in this field, including, but not limited to, the following:
Genetic, molecular, biochemical and physiological aspects of obesity – basic, applied and clinical studies relating to mechanisms of the development of obesity throughout the life course and the consequent effects of obesity on health outcomes
Metabolic consequences of child and adolescent obesity
Epidemiological and population-based studies of child and adolescent overweight and obesity
Measurement and diagnostic issues in assessing child and adolescent adiposity, physical activity and nutrition
Clinical management of children and adolescents with obesity including studies of treatment and prevention
Co-morbidities linked to child and adolescent obesity – mechanisms, assessment, and treatment
Life-cycle factors eg familial, intrauterine and developmental aspects of child and adolescent obesity
Nutrition security and the "double burden" of obesity and malnutrition
Health promotion strategies around the issues of obesity, nutrition and physical activity in children and adolescents
Community and public health measures to prevent overweight and obesity in children and adolescents.