An addiction model‐based mobile health weight loss intervention in adolescents with obesity

Vidmar, Alaina P.; Pretlow, Robert A.; Borzutzky, Claudia; Wee, Choo Phei; Fox, David; Fink, Cassandra; Mittelman, Steven D.

doi:10.1111/ijpo.12464

Cited by 58 publications

(152 citation statements)

References 29 publications

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“…Three studies (Mameli et al, ; Nguyen et al, ; Vidmar et al, ) evaluated the effects of mobile phone intervention on changes in body weight, and all studies were included for the meta‐analysis (Figure ). On pooling data from three studies, the results favored mobile phone interventions; however, the results were not statistically significant (SMD = −0.043, 95% CI = −0.322 to 0.236).…”

Section: Resultsmentioning

confidence: 99%

“…Proper application of health behavior theories and intervention strategies tailored to specific population groups may produce optimal outcomes (Nightingale et al, ; Schoeppe et al, ). Furthermore, although mobile phone interventions are cost‐effective, only one of the included studies (Vidmar et al, ) conducted an economic evaluation. However, the economic benefits of mobile phone interventions are not confirmed due to lack of evidence, thereby hindering the broader application (Badawy & Kuhns, ; Iribarren, Cato, Falzon, & Stone, ).…”

Section: Discussionmentioning

confidence: 99%

“…An e‐health application named W8loss2GO granted access to real‐time data and storage, thereby enabling timely feedback. Furthermore, compared with regular clinical visits (control group), text and weekly phone sessions with a mentor resulted in a statistically significant change in physical fitness indices (BMI score and body weight) (Vidmar et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Mobile phone interventions to improve adolescents' physical health: A systematic review and meta‐analysis

Shin

Kim

Lee

2019

Public Health Nursing

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Background We conducted a systematic review and meta‐analysis to evaluate the effectiveness of mobile phone intervention in promoting a healthy lifestyle among adolescents. Methods Six databases were used for literature searches: MEDLINE, Embase, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, KoreaMed, and Research Information Sharing Service. The keywords used were “adolescents,” “mobile phone,” “smartphone,” “mHealth,” “application,” and “text message.” The search was restricted to intervention studies using randomized controlled studies and pre‐ and post‐control group studies targeting adolescents, all written in English and Korean. Results Eleven intervention studies, including 1,472 adolescents, were included. Included studies published between 2013 and 2018 used various mobile phone features: four studies utilized phone call and text messaging, whereas seven studies used health applications. Methodological quality was assessed and the overall quality of the studies was mid to low. The pooled data favored intervention in improving physical activity and reducing sugar‐sweetened beverage intake and screen time. In a pooled data analysis, the effectiveness of mobile phone intervention on body mass index and weight loss was not statistically significant. Conclusion This study provided evidence that mobile phone intervention improved physical health and fitness among adolescents. More beneficial effects can be guaranteed when interventions involve informative and motivational messages. Strategies to ensure the durability of such interventions are needed to promote active and continuous engagement.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobile phone interventions to improve adolescents' physical health: A systematic review and meta‐analysis

Shin

Kim

Lee

2019

Public Health Nursing

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“…Recently, there have been recommendations for interventions among adolescents that promote executive functioning in the context of salience and reward processing [ 196 ]. Among adolescents with obesity ( n = 18), an FA-informed mobile health (app) intervention reduced zBMI in a more cost-effective manner than the in-clinic intervention, and there is currently an RCT underway in a larger sample using this approach [ 229 , 230 ]. It has been suggested that the more interactive, engaging and person centered a mobile health treatment is, the more appealing it will be to those suffering from compulsive overeating [ 231 ].…”

Section: Interventions For Food Addictionmentioning

confidence: 99%

Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint

Wiss

Brewerton

2020

Nutrients

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Converging evidence from both animal and human studies have implicated hedonic eating as a driver of both binge eating and obesity. The construct of food addiction has been used to capture pathological eating across clinical and non-clinical populations. There is an ongoing debate regarding the value of a food addiction “diagnosis” among those with eating disorders such as anorexia nervosa binge/purge-type, bulimia nervosa, and binge eating disorder. Much of the food addiction research in eating disorder populations has failed to account for dietary restraint, which can increase addiction-like eating behaviors and may even lead to false positives. Some have argued that the concept of food addiction does more harm than good by encouraging restrictive approaches to eating. Others have shown that a better understanding of the food addiction model can reduce stigma associated with obesity. What is lacking in the literature is a description of a more comprehensive approach to the assessment of food addiction. This should include consideration of dietary restraint, and the presence of symptoms of other psychiatric disorders (substance use, posttraumatic stress, depressive, anxiety, attention deficit hyperactivity) to guide treatments including nutrition interventions. The purpose of this review is to help clinicians identify the symptoms of food addiction (true positives, or “the signal”) from the more classic eating pathology (true negatives, or “restraint”) that can potentially elevate food addiction scores (false positives, or “the noise”). Three clinical vignettes are presented, designed to aid with the assessment process, case conceptualization, and treatment strategies. The review summarizes logical steps that clinicians can take to contextualize elevated food addiction scores, even when the use of validated research instruments is not practical.

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“…Some evidence supports the use of telehealth or mobile health interventions as an adjunct to pediatric weight management as feasible and cost-effective, 8,9 but little data exists on the efficacy or effectiveness of exclusive telehealth for pediatric weight management. In the time of COVID-19 closures and physical distancing, telehealth has become a necessary default.…”

Section: Accepted Articlementioning

confidence: 99%

Zooming Toward a Telehealth Solution for Vulnerable Children with Obesity During Coronavirus Disease 2019

Baidal

Chang

Hulse

et al. 2020

Obesity

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Health inequities exist throughout the life course, resulting in racial/ethnic and socioeconomic disparities in obesity and obesity-related health complications. Obesity and its co-morbidities appear linked to COVID-19 mortality. Approaches to reduce obesity in the time of COVID-19 closures are urgently needed and should start early in life. In New York City, we developed a telehealth pediatric weight management collaborative spanning NewYork-Presbyterian, Columbia University Vagelos College of Physicians and Surgeons, and Weill Cornell Medicine during COVID-19 with show rates 76-89%. To stave off the impending exacerbation of health disparities related to obesity risk factors in the aftermath of the COVID-19 pandemic, effective interventions that can be delivered remotely are urgently needed among vulnerable children with obesity. Challenges in digital technology access, social and linguistic differences, privacy security, and reimbursement must be overcome to realize the full potential of telehealth for pediatric weight management among low-income and racial/ethnic minority children. Accepted Article

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An addiction model‐based mobile health weight loss intervention in adolescents with obesity

Cited by 58 publications

References 29 publications

Mobile phone interventions to improve adolescents' physical health: A systematic review and meta‐analysis

Mobile phone interventions to improve adolescents' physical health: A systematic review and meta‐analysis

Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint

Zooming Toward a Telehealth Solution for Vulnerable Children with Obesity During Coronavirus Disease 2019

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