The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes

Body Fat and Obesity Rates, Cardiovascular Fitness, and the Feasibility of a Low-Intensity Non-Weight-Centric Educational Intervention Among Late Adolescents: Quasi-Experimental Study

Background

Obesity rates among Saudi adolescents are increasing, with regional variations highlighting the need for tailored interventions. School-based health programs in Saudi Arabia are limited and often emphasize weight and body size, potentially exacerbating body image dissatisfaction. There is limited knowledge on the feasibility of non-weight-centric educational programs in Saudi Arabia and their effects on health behaviors and body image.

objectives

This study aimed to (1) assess the prevalence of obesity using BMI-for-age z score (BAZ) and fat percentage among Saudi adolescents; (2) evaluate key health behaviors, cardiovascular fitness, and health literacy; and (3) assess the feasibility and impact of a low-intensity, non-weight-centric educational intervention designed to improve knowledge of macronutrients and metabolic diseases, while examining its safety on body image discrepancies.

Methods

A quasi-experimental, pre-post trial with a parallel, nonequivalent control group design was conducted among 95 adolescents (58 boys and 37 girls; mean age 16.18, SD 0.53 years) from 2 public high schools in Medina City, Saudi Arabia. Participants were randomly assigned to either the weight-neutral Macronutrient + Non-Communicable Diseases Health Education group or the weight-neutral Macronutrient Health Education group. Anthropometry (BAZ and fat percentage), cardiovascular fitness, physical activity, and eating behaviors were measured at baseline. Independent t tests and χ² tests were conducted to compare group differences, and a 2-way mixed ANOVA was used to evaluate the effect of the intervention on macronutrient knowledge and body image discrepancies. A total of 69 participants completed the postintervention assessments.

Results

The prevalence of overweight and obesity based on BAZ was 37.9% (36/95), while 50.5% (48/95) of participants were classified as overfat or obese based on fat percentage. Students with normal weight status were significantly more likely to have had prior exposure to health education related to metabolic diseases than students with higher weight status (P=.02). The intervention significantly improved macronutrient-metabolic knowledge (F1,64=23.452; P<.001), with a large effect size (partial η²=0.268). There was no significant change in students' body image from pre- to postintervention (P=.70), supporting the safety of these weight-neutral programs. The intervention demonstrated strong feasibility, with a recruitment rate of 82.6% and a retention rate of 72.6%.

Conclusions

This study reveals a high prevalence of obesity among Saudi adolescents, particularly when measured using fat percentage. The significant improvement in knowledge and the nonimpact on body image suggest that a non-weight-centric intervention can foster better health outcomes without exacerbating body image dissatisfaction. Region-specific strategies that prioritize metabolic health and macronutrient education over weight-centric messaging should be considered to address both obesity and body image concerns in adolescents.

Gamified Health Promotion in Schools: The Integration of Neuropsychological Aspects and CBT-A Systematic Review

Background and Objectives: This systematic review examines the integration of gamified health promotion strategies in school settings, with a focus on their potential to positively influence health behaviors and promote well-being among adolescents. This study explores the incorporation of cognitive behavioral therapy (CBT), artificial intelligence, and neuropsychological principles in gamified interventions, aiming to enhance engagement and effectiveness. Materials and Methods: A narrative synthesis of 56 studies, following PRISMA guidelines, underscores the significant impact of these gamified interventions on mental health outcomes, emphasizing reductions in anxiety, depression, and burnout while improving coping skills and lifestyle habits. The focus of key areas in mental health outcomes, emotional regulation, cognitive flexibility, and adherence mechanisms is explored through quantitative and qualitative syntheses to underscore intervention effectiveness and design principles. Results: This review highlights the high-quality evidence supporting the use of gamification in educational settings and calls for further research to optimize design elements and address implementation barriers. The findings propose that well-designed gamified health interventions can effectively engage students, promote healthy behaviors, and improve mental well-being while acknowledging the need for further studies to explore underlying mechanisms and long-term effects. Conclusions: Gamified health interventions that embed CBT and neuropsychological principles are promising for promoting the mental well-being of schoolchildren. Although the evidence indicates that they are effective in improving psychological and behavioral outcomes, further research is needed to optimize design features and overcome implementation challenges to ensure wider and more sustainable application.

Randomized Clinical Trial to Increase Self-Monitoring of Physical Activity and Eating Behaviors in Youth: A Feasibility Study

Introduction

Mobile health (mHealth) has the potential to reduce reliance on in-person healthcare visits, making monitoring of health, eating, and physical activity less burdensome. There is a great need to develop and test mHealth tools for pediatric weight loss programs to enhance clinical practice. This study aimed to test the feasibility of utilizing a tailored suite of mHealth components to augment an existing evidence-based in-person pediatric weight management program.

Method

Using a two-group randomized superiority trial design, participants who completed baseline measurement were randomized to Brenner Families in Training (Brenner FIT) or Brenner FIT + mHealth (Brenner mFIT)), and follow-up measures were completed at 3 and 6 months. Feasibility was assessed in terms of screening, recruitment, randomization, retention, and the assessment process. Acceptability was assessed in terms of program completion and implementation fidelity was assessed in terms of logging activity, frequency of self-monitoring, goal setting, and retention rate.

Results

Overall, 173 dyads were eligible for enrollment based on inclusion criteria. Twenty-five dyads consented to participate. Sixteen dyads completed baseline psychosocial questionnaires, eight dyads completed at least two 24-hour dietary recalls, and 20 (youth) participants returned accelerometers. Of the 14 dyads who completed enrollment, 7 dyads were each randomized into the intervention and control groups, with 10 and 5 dyads retained at three and six months, respectively. A total of four caregivers and two youth who utilized the website for goal setting set at least one goal, all seven youth linked their activity tracker, and most downloaded at least one video (two youth) or podcast (six caregivers).

Conclusions

Our results suggest that the assessment protocol was overly burdensome, the intervention had low acceptability, and the study as designed was not feasible to complete. Future studies should evaluate barriers and facilitators to the uptake of mHealth.

The impact of smartphone app-based interventions on adolescents' dietary intake: a systematic review and evaluation of equity factor reporting in intervention studies

CONTEXT

Adolescence is a critical stage for improving nutrition. The popularity of smartphones makes them an ideal platform for administering interventions to adolescents. A systematic review has yet to assess the impact of smartphone app-based interventions exclusively on adolescents' dietary intake. Furthermore, despite the impact of equity factors on dietary intake and the claim for mobile health of increased accessibility, there is minimal research on the reporting of equity factors in the evaluation of smartphone app-based nutrition-intervention research.

OBJECTIVES

This systematic review examines the effectiveness of smartphone app-based interventions on adolescents' dietary intake and the frequency with which equity factors and statistical analyses specific to equity factors are reported in these intervention studies.

DATA SOURCES

Databases (ie, Scopus, CINAHL, EMBASE, MEDLINE, PsycINFO, ERIC, and Cochrane Central Register for Randomized Control Trials) were searched for studies published from January 2008 to October 2022. Smartphone app-based intervention studies that were nutrition focused, evaluated at least 1 dietary intake variable, and included participants with a mean age between 10 and 19 years were included. All geographic locations were included.

DATA EXTRACTION AND ANALYSIS

Study characteristics, intervention results, and reported equity factors were extracted. Because of the heterogeneity of dietary outcomes, findings were reported as a narrative synthesis.

CONCLUSION

In total, 3087 studies were retrieved, 14 of which met the inclusion criteria. Eleven studies reported a statistically significant improvement in at least 1 dietary outcome because of the intervention. Reporting of at least 1 equity factor across articles' Introduction, Methods, Results, and Discussion sections was minimal (n = 5), and statistical analyses specific to equity factors were rare, occurring in only 4 of the 14 included studies. Future interventions should include a measurement of intervention adherence and report the impact of equity factors on the effectiveness and applicability of interventions for equity-deserving groups.

Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity

BACKGROUND

Obesity is considered to be a risk factor for various diseases, and its incidence has tripled worldwide since 1975. In addition to potentially being at risk for adverse health outcomes, people with overweight or obesity are often stigmatised. Behaviour change interventions are increasingly delivered as mobile health (m-health) interventions, using smartphone apps and wearables. They are believed to support healthy behaviours at the individual level in a low-threshold manner.

OBJECTIVES

To assess the effects of integrated smartphone applications for adolescents and adults with overweight or obesity.

SEARCH METHODS

We searched CENTRAL, MEDLINE, PsycINFO, CINAHL, and LILACS, as well as the trials registers ClinicalTrials.gov and World Health Organization International Clinical Trials Registry Platform on 2 October 2023 (date of last search for all databases). We placed no restrictions on the language of publication.

SELECTION CRITERIA

Participants were adolescents and adults with overweight or obesity. Eligible interventions were integrated smartphone apps using at least two behaviour change techniques. The intervention could target physical activity, cardiorespiratory fitness, weight loss, healthy diet, or self-efficacy. Comparators included no or minimal intervention (NMI), a different smartphone app, personal coaching, or usual care. Eligible studies were randomised controlled trials of any duration with a follow-up of at least three months.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methodology and the RoB 2 tool. Important outcomes were physical activity, body mass index (BMI) and weight, health-related quality of life, self-efficacy, well-being, change in dietary behaviour, and adverse events. We focused on presenting studies with medium- (6 to < 12 months) and long-term (≥ 12 months) outcomes in our summary of findings table, following recommendations in the core outcome set for behavioural weight management interventions.

MAIN RESULTS

We included 18 studies with 2703 participants. Interventions lasted from 2 to 24 months. The mean BMI in adults ranged from 27 to 50, and the median BMI z-score in adolescents ranged from 2.2 to 2.5. Smartphone app versus no or minimal intervention Thirteen studies compared a smartphone app versus NMI in adults; no studies were available for adolescents. The comparator comprised minimal health advice, handouts, food diaries, smartphone apps unrelated to weight loss, and waiting list. Measures of physical activity: at 12 months' follow-up, a smartphone app compared to NMI probably reduces moderate to vigorous physical activity (MVPA) slightly (mean difference (MD) -28.9 min/week (95% confidence interval (CI) -85.9 to 28; 1 study, 650 participants; moderate-certainty evidence)). We are very uncertain about the results of estimated energy expenditure and cardiorespiratory fitness at eight months' follow-up. A smartphone app compared with NMI probably results in little to no difference in changes in total activity time at 12 months' follow-up and leisure time physical activity at 24 months' follow-up. Anthropometric measures: a smartphone app compared with NMI may reduce BMI (MD of BMI change -2.6 kg/m2, 95% CI -6 to 0.8; 2 studies, 146 participants; very low-certainty evidence) at six to eight months' follow-up, but the evidence is very uncertain. At 12 months' follow-up, a smartphone app probably resulted in little to no difference in BMI change (MD -0.1 kg/m2, 95% CI -0.4 to 0.3; 1 study; 650 participants; moderate-certainty evidence). A smartphone app compared with NMI may result in little to no difference in body weight change (MD -2.5 kg, 95% CI -6.8 to 1.7; 3 studies, 1044 participants; low-certainty evidence) at 12 months' follow-up. At 24 months' follow-up, a smartphone app probably resulted in little to no difference in body weight change (MD 0.7 kg, 95% CI -1.2 to 2.6; 1 study, 245 participants; moderate-certainty evidence). A smartphone app compared with NMI may result in little to no difference in self-efficacy for a physical activity score at eight months' follow-up, but the results are very uncertain. A smartphone app probably results in little to no difference in quality of life and well-being at 12 months (moderate-certainty evidence) and in little to no difference in various measures used to inform dietary behaviour at 12 and 24 months' follow-up. We are very uncertain about adverse events, which were only reported narratively in two studies (very low-certainty evidence). Smartphone app versus another smartphone app Two studies compared different versions of the same app in adults, showing no or minimal differences in outcomes. One study in adults compared two different apps (calorie counting versus ketogenic diet) and suggested a slight reduction in body weight at six months in favour of the ketogenic diet app. No studies were available for adolescents. Smartphone app versus personal coaching Only one study compared a smartphone app with personal coaching in adults, presenting data at three months. Two studies compared these interventions in adolescents. A smartphone app resulted in little to no difference in BMI z-score compared to personal coaching at six months' follow-up (MD 0, 95% CI -0.2 to 0.2; 1 study; 107 participants). Smartphone app versus usual care Only one study compared an app with usual care in adults but only reported data at three months on participant satisfaction. No studies were available for adolescents. We identified 34 ongoing studies.

AUTHORS' CONCLUSIONS

The available evidence is limited and does not demonstrate a clear benefit of smartphone applications as interventions for adolescents or adults with overweight or obesity. While the number of studies is growing, the evidence remains incomplete due to the high variability of the apps' features, content and components, which complicates direct comparisons and assessment of their effectiveness. Comparisons with either no or minimal intervention or personal coaching show minor effects, which are mostly not clinically significant. Minimal data for adolescents also warrants further research. Evidence is also scarce for low- and middle-income countries as well as for people with different socio-economic and cultural backgrounds. The 34 ongoing studies suggest sustained interest in the topic, with new evidence expected to emerge within the next two years. In practice, clinicians and healthcare practitioners should carefully consider the potential benefits, limitations, and evolving research when recommending smartphone apps to adolescents and adults with overweight or obesity.

Time to act on childhood obesity: the use of technology

Childhood obesity is rapidly increasing worldwide and there is an urgent need to implement treatment and prevention programs. Over the last decade, in addition to increasing rates of childhood obesity, we have also observed rapid technological and digital development. The Covid-19 pandemic has largely contributed to both expansions but has also allowed an opening towards a broader vision of medicine, through new therapeutic opportunities such as mobile healthcare. The digital and technological delivery of obesity prevention and treatment programs can represent an innovative tool to support children and families to overcome some limitations and barriers such as the accessibility of programs that prevent them from adopting healthy lifestyle changes. This review aimed to summarize the impact of different digital interventions for children and adolescent affected by obesity.

Attrition rate and predictors of a monitoring mHealth application in adolescents with obesity

BACKGROUND

Integrating mobile health (mHealth) into paediatric obesity treatment can provide opportunities for more personalized and lifetime treatment. However, high attrition rates pose a significant challenge. The current study attempts to better understand attrition by exploring (1) attrition rates of a monitoring mHealth application for usage over 14 days and (2) testing predictors of attrition in adolescents with obesity.

METHODS

Participants were 69 adolescents between 12 and 16 years old who engaged in a multidisciplinary obesity treatment centre (either outpatient or inpatient) in two countries (Belgium and France). To assess the attrition rates, frequency distributions were used. To test the predictors of attrition, zero-inflated negative binomial regression was performed.

RESULTS

Attrition rates were high, in the outpatient group, more than half of the participants (53.3%) used the app for only 0-7 days. In the inpatient group, this percentage was 24.1%. Only deficits in initiating (a component of executive functions) were a negative predictor of attrition, indicating that deficits in initiating lead to lower attrition rates.

CONCLUSIONS

This study provides evidence for high attrition rates in mHealth interventions for adolescents with obesity and was the first to investigate psychological predictors of attrition to an mHealth monitoring tool in adolescents with obesity in treatment. Findings regarding predictors of attrition should be approached with caution due to the small sample size.

Do Individual Characteristics and Social Support Increase Children's Use of an MHealth Intervention? Findings from the Evaluation of a Behavior Change MHealth App, Aim2Be

Purpose: Mobile health (mHealth) apps may support improved health behavior practice among youth living in larger bodies. However, long-term use is low, limiting effectiveness. This study evaluated whether youths' motivation, satisfaction, engagement with social features, or parent co-participation supported long-term use of an app named Aim2Be. Methods: A secondary analysis of two versions of Aim2Be (preteen and teen versions) using covariate-adjusted multivariable regression was conducted. We evaluated associations between social support features (a virtual coach, a social poll, or a social wall), parent co-participation (time spent in the parent app), and app satisfaction on use (time spent in Aim2Be). Models were stratified by age and satisfaction was explored as a moderator. Results: Preteens (n = 83) engagement with the social poll (β = 0.26, p < 0.001), virtual health coach (β = 0.24, p = 0.01), app satisfaction (β = 0.31, p = 0.01), and parent co-participation (β = 0.24, p = 0.01) predicted use. In teens (n = 90), engagement with the virtual coach (β = 0.31, p < 0.001) and full utilization of social wall features (β = 0.41, p < 0.001) predicted use. Furthermore, satisfaction moderated the effects of partial utilization of the social wall among teens (β = 0.32 p = 0.02). Conclusion: Social support in mHealth apps may impact users differently depending on age. Features that include health professionals or peers may be more advantageous across ages. App developers should consider age when designing interventions. Clinical Trial Registration NCT03651284.

Recruiting families using social media versus pediatric obesity clinics: A secondary analysis of the Aim2Be RCT

BACKGROUND

Recruitment of participants continues to be a challenge that researchers must overcome to yield successful study results. Over the past decade, there has been a dramatic increase in the use of social media platforms to recruit research participants. We conducted a secondary analysis of the Aim2Be randomized controlled trial (RCT) to examine if there was variability between participants recruited via social media versus pediatric obesity clinics.

METHODS

Parents and their children living with overweight or obesity were recruited through social media (i.e., Facebook advertisements) (n = 119) or pediatric obesity management clinics (n = 95) to participate in the Aim2Be RCT. We compared recruitment costs, recruitment rate, participant retention, intervention engagement, obesity-related risk factors, and behavioral habits.

RESULTS

Facebook recruitment resulted in more participant contacts, but higher attrition during 'high effort' stages of the recruitment process. Group differences emerged regarding costs (Facebook: $407 versus clinics: $699). There were no group differences in participant retention or intervention engagement. Families recruited from Facebook were younger parents (42.6 versus 46.0 years; p < 0.001) and children (12.2 versus 13.9 years; p < 0.001), a higher percentage male children, and fewer had previously participated in a pediatric weight management program. Parents recruited from Facebook self-reported greater screen time for themselves, and their children reported lower physical activity levels and higher caloric and sugar intake.

CONCLUSIONS

Social media and clinical site recruitment are complementary strategies that appear to draw in families with different profiles, but regardless of how they were recruited, all families had the potential to benefit from pediatric obesity management.

V-care: An application to support lifestyle improvement in children with obesity

BACKGROUND

Obesity is increasing in the pediatric population, and it represents an important risk factor for the life-long development of several diseases. Although health promotion represents the mainstay of obesity prevention and treatment, lifestyle modification programs are often unsuccessful.

OBJECTIVES

The purpose of this article is to introduce the V-care app, a mobile health platform specifically developed to offer effective interaction and support young people in a long-term obesity treatment, combining different strategies to maximize the results of the lifestyle modification program and minimize the possibility of dropouts.

METHODS

The V-care app is based on a conventional client-server architecture, but novelties of our approach are the involvement of families in the lifestyle modification program, and the design inspired to psychological/behavioral change theories, with the aim of raising the chance of patients' compliance to the program. V-care implements a goal-based behavioral intervention, providing specific feedbacks according to the patient's performance. A pilot usability and acceptability study was performed on a sample of thirteen children aged 6-12 years, using a questionnaire with a 5-points Likert scale to evaluate eight system features, identified as essential requirements based on the analysis of strengths and weaknesses of similar systems in literature.

RESULTS

The pilot study highlighted very high rate of overall friendliness and perceived utility evaluation, while some critical issues emerged especially for the chatbot section, which may be due to the novelty of the technology. The positive evaluation of the design choices is confirmed by the average score greater than 3 for all the questions.

CONCLUSIONS

The V-care app represents a digital innovation in the pediatric healthcare, and it could be introduced in children's primary healthcare nationwide, with the aim to offer an intervention program for controlling and preventing childhood obesity.

Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours

Chatbots (also known as conversational agents and virtual assistants) offer the potential to deliver healthcare in an efficient, appealing and personalised manner. The purpose of this systematic review and meta-analysis was to evaluate the efficacy of chatbot interventions designed to improve physical activity, diet and sleep. Electronic databases were searched for randomised and non-randomised controlled trials, and pre-post trials that evaluated chatbot interventions targeting physical activity, diet and/or sleep, published before 1 September 2022. Outcomes were total physical activity, steps, moderate-to-vigorous physical activity (MVPA), fruit and vegetable consumption, sleep quality and sleep duration. Standardised mean differences (SMD) were calculated to compare intervention effects. Subgroup analyses were conducted to assess chatbot type, intervention type, duration, output and use of artificial intelligence. Risk of bias was assessed using the Effective Public Health Practice Project Quality Assessment tool. Nineteen trials were included. Sample sizes ranged between 25-958, and mean participant age ranged between 9-71 years. Most interventions (n = 15, 79%) targeted physical activity, and most trials had a low-quality rating (n = 14, 74%). Meta-analysis results showed significant effects (all p < 0.05) of chatbots for increasing total physical activity (SMD = 0.28 [95% CI = 0.16, 0.40]), daily steps (SMD = 0.28 [95% CI = 0.17, 0.39]), MVPA (SMD = 0.53 [95% CI = 0.24, 0.83]), fruit and vegetable consumption (SMD = 0.59 [95% CI = 0.25, 0.93]), sleep duration (SMD = 0.44 [95% CI = 0.32, 0.55]) and sleep quality (SMD = 0.50 [95% CI = 0.09, 0.90]). Subgroup analyses showed that text-based, and artificial intelligence chatbots were more efficacious than speech/voice chatbots for fruit and vegetable consumption, and multicomponent interventions were more efficacious than chatbot-only interventions for sleep duration and sleep quality (all p < 0.05). Findings from this systematic review and meta-analysis indicate that chatbot interventions are efficacious for increasing physical activity, fruit and vegetable consumption, sleep duration and sleep quality. Chatbot interventions were efficacious across a range of populations and age groups, with both short- and longer-term interventions, and chatbot only and multicomponent interventions being efficacious.

Telehealth als Therapieoption in der juvenilen Adipositasprävention

Übergewicht und Adipositas im Kindes- und Jugendalter gehen nicht nur mit ausgeprägten medizinischen und psychologischen Begleit- und Folgeerkrankungen einher, sondern stellen auch aus ökonomischer Sicht eine der größten Herausforderungen für das Gesundheitssystem dar. Die Beschränkungen im Rahmen der weltweiten COVID-19-Pandemie (COVID-19: „coronavirus disease 2019“) führten zu einer weiteren Aggravierung der vorbestehend hohen Prävalenz an juvenilem Übergewicht. Da pharmakologische Behandlungsmöglichkeiten im Kindes‑/Jugendalter im Allgemeinen nicht zugelassen sind und daher keine Option darstellen, spielt die Lebensstilveränderung aus therapeutischer Sicht eine gesonderte Rolle. Dabei haben multimodale Beschulungskonzepte mit Beratungen durch Mitarbeitende verschiedener Fachbereiche (beispielsweise Psychologie, Ernährung, Sport, Medizin) aktuell die besten Erfolgsaussichten. Durch den gezielten Transfer dieser Schulungsprogramme in telemedizinische Konzepte könnten deren Wirkungsgrad nachhaltig verbessert und dabei Ressourcen sowohl auf therapeutischer Seite als auch der der Betroffenen geschont werden.