Impact of a Mobile App-Based Health Coaching and Behavior Change Program on Participant Engagement and Weight Status of Overweight and Obese Children: Retrospective Cohort Study

Validation of remote child weight and height measurements within a weight management trial

OBJECTIVE

The aim of this substudy within the Treatment Efforts Addressing Child Weight Management by Unifying Patients, Parents, and Providers (TEAM UP) pragmatic clinical trial was to compare the validity of anthropometric measurements collected remotely versus in person (≤7 days apart) among youth with obesity who were 6 to 15 years of age.

METHODS

Child (n = 37) weight and height were measured in person by a trained data assessor. These were compared with measurements taken remotely by the child's parent with live videoconferencing observation by a study data assessor. In-person and remote measurements were compared using Bland-Altman plots, Pearson correlations, and two one-sided paired t tests. A priori bounds of acceptability were set at ±0.68 kg to allow for typical weight fluctuations within the 7-day comparison period.

RESULTS

Measurements were highly correlated (height: r = 0.991, p < 0.0001; weight: r = 0.999; p = 0.03). For height, two one-sided t tests for upper, t(36) = 3.95, and lower, t(36) = -2.63, bounds (-1, 1) revealed an overall p = 0.006; absolute error was 3.5 cm. For weight, two one-sided t tests for upper, t(36) = 1.93, and lower, t(36) = -7.91, bounds (-0.68, 0.68) revealed an overall p = 0.03; absolute error was 1.7 kg.

CONCLUSIONS

The present findings support the utility and interpretation of remotely assessed weight management outcomes for both research and clinical purposes. These procedures may offer greater accessibility to evidence-based measurement.

Significant effects of childhood obesity treatment with a web-based component in a randomised controlled study (Web-COP)

AIM

We evaluated the effect on body mass index standard deviation score (BMI-SDS) of a combined treatment (Web-COP) for children with obesity, including a web-based component targeting their parents.

METHODS

This randomised controlled trial recruited children 5-12 years of age with obesity (International Obesity Task Force BMI [IOTF-BMI] ≥30 kg/m2 ) from school health care and outpatient paediatric clinics in in Northern Sweden from 1 June 2019 to 21 June 2020. The children were randomised to Web-COP, an intervention with group sessions and a 12-week web-based component, or standard care. The primary outcome was the change in IOTF BMI-SDS after 6 months.

RESULTS

In total, 75 children (33 girls), mean age 9.5 years, were randomised, and 65/75 (87%) children and their parents completed the study, 35/39 (90%) in the Web-COP intervention and 30/36 (83%) in the standard care group. BMI-SDS at 6 months was changed from 3.08 to 2.81 in the intervention group compared to an increase from 3.07 to 3.16 in the standard care group, representing a significant difference between groups (p < 0.001). In the intervention group, 14/30 (47%) reduced their BMI-SDS ≥0.25, compared to none in the standard care group.

CONCLUSION

The parent-focused intervention significantly improved BMI-SDS in children with obesity as compared to children in standard care.

The Report of Access and Engagement With Digital Health Interventions Among Children and Young People: Systematic Review

BACKGROUND

Digital health interventions are increasingly used to deliver health-related interventions for children and young people to change health behaviors and improve health outcomes. Digital health interventions have the potential to enhance access to and engagement with children and young people; however, they may also increase the divide between those who can access technology and are supported to engage and those who are not. This review included studies that reported on the access to or engagement with digital health interventions among children and young people.

OBJECTIVE

This review aims to identify and report on access and engagement in studies involving digital health interventions among children and young people.

METHODS

A systematic review following the Joanna Briggs Institute methods for conducting systematic reviews was conducted. An electronic literature search was conducted for all studies published between January 1, 2010, and August 2022, across sources, including MEDLINE, CINAHL, and PsycINFO. Studies were included if they examined any aspect of access or engagement in relation to interventions among children and young people. The quality of the included papers was assessed, and data were extracted. Data were considered for meta-analysis, where possible.

RESULTS

A total of 3292 references were identified using search terms. Following the exclusion of duplicates and review by inclusion criteria, 40 studies were independently appraised for their methodological quality. A total of 16 studies were excluded owing to their low assessed quality and flawed critical elements in the study design. The studies focused on a variety of health conditions; type 1 diabetes, weight management and obesity, mental health issues, and sexual health were the predominant conditions. Most studies were conducted in developed countries, with most of them being conducted in the United States. Two studies reported data related to access and considered ethnicity and social determinants. No studies used strategies to enhance or increase access. All studies included in the review reported on at least 1 aspect of engagement. Engagement with interventions was measured in relation to frequency of engagement, with no reference to the concept of effective engagement.

CONCLUSIONS

Most digital health interventions do not consider the factors that can affect access and engagement. Of those studies that measured either access or engagement or both, few sought to implement strategies to improve access or engagement to address potential disparities between groups. Although the literature to date provides some insight into access and engagement and how these are addressed in digital health interventions, there are major limitations in understanding how both can be enhanced to promote equity. Consideration of both access and engagement is vital to ensure that children and young people have the ability to participate in studies.

TRIAL REGISTRATION

PROSPERO CRD42020170874; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=170874.

The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data

BACKGROUND

Physical inactivity and a poor diet are modifiable behaviors that contribute to obesity. Obesity is a well-recognized risk factor for chronic diseases, including diabetes. Mobile health (mHealth) apps can play an important adjuvant role in preventing and treating chronic diseases and promoting positive health behavior change among people with obesity, and eHealth literacy skills have the potential to impact mHealth app use.

OBJECTIVE

The purpose of this study was to explore the associations between the 2 dimensions, access and application, of eHealth literacy skills and mHealth app use among US adults (≥18 years of age) with obesity (BMI ≥30 kg/m2).

METHODS

Data were obtained from February to June 2020 using the Health Information National Trends Survey 5. A total of 1079 respondents met the inclusion criteria of adults with obesity and owners of smartphones. Individual associations between mHealth app use and sociodemographic variables were explored using weighted chi-square and 2-tailed t tests. A multivariable weighted logistic regression model was fitted, and adjusted odds ratios (ORs) of using mHealth apps with corresponding 95% CIs were reported across multiple sociodemographic variables. An Ising model-weighted network visualization was produced. A receiver operating characteristic curve was calculated, and the area under the curve was reported with the corresponding Delong 95% CI.

RESULTS

A majority of respondents were female (550/923, 59.6%) or non-Hispanic White (543/923, 58.8%). Individuals in households earning less than US $50,000 comprised 41.4% (382/923) of the sample. All sociodemographic variables were found to be univariately significant at the 5% level, except employment and region. Results from the multivariable weighted logistic regression model showed that the adjusted odds of using an mHealth app are 3.13 (95% CI 1.69-5.80) and 2.99 (95% CI 1.67-5.37) times higher among those with an access eHealth literacy skill of using an electronic device to look for health or medical information for themselves and an application eHealth literacy skill of using electronic communications with a doctor or doctor's office, respectively. Several sociodemographic variables were found to be significant, such as education, where adjusted ORs comparing subgroups to the lowest educational attainment were substantial (ORs ≥7.77). The network visualization demonstrated that all eHealth literacy skills and the mHealth app use variable were positively associated to varying degrees.

CONCLUSIONS

This work provides an initial understanding of mHealth app use and eHealth literacy skills among people with obesity, identifying people with obesity subpopulations who are at risk of a digital health divide. Future studies should identify equitable solutions for people with obesity (as well as other groups) and their use of mHealth apps.

Effectiveness of a Scalable mHealth Intervention for Children With Overweight and Obesity

Background: Multicomponent interventions are the first line of treatment for pediatric obesity, but are challenging to access. Mobile health (mHealth) interventions hold promise as they address commonly cited barriers for attending in person programs and have potential for wide scale dissemination. Methods: This retrospective cohort study examined data from youth who enrolled in the Kurbo program, which includes personal health coaching and a mobile app. Hierarchical linear regression was used to examine the impact of baseline percentage of the 95th% percentile for body mass index (%BMIp95), number of coaching sessions, and length of time enrolled in the program on change in %BMIp95, controlling for baseline age and sex. Results: A total of 3500 youth (mean age of 12.79 years, 71.3% female) were included. Youth experienced a 0.70 U decrease in BMI [standard deviation (SD) = 2.19] and a 4.45% decrease (SD = 8.5) in %BMIp95 over a mean of 31.5 weeks. The overall regression model was significant, R2 = 0.066, F(3,3494) = 77.18, and p < 0.001. Predictors of decrease in weight status included being female (b = -1.11, p < 0.001), higher baseline %BMIp95, (b = -0.58, p < 0.001), and greater number of coaching sessions (b = -0.12, p < 0.001), while greater time enrolled in the program (b = 0.02, p < 0.001) was associated with less change. Conclusion: Findings suggest a scalable coaching program with integrated digital tools for monitoring diet and activity can lead to significant reductions in weight status. Findings need to be replicated with more rigorous study designs, including a comparison condition and verified assessment of height and weight.

Perceptions of registered nurses on facilitators and barriers of implementing the AI-IoT-based healthcare pilot project for older adults during the COVID-19 pandemic in South Korea

Objective

This study explored the perceptions of registered nurses on the facilitators and barriers to implementing an AI/IoT (Artificial Intelligence/Internet of Things)-based healthcare pilot project, designed to prevent frailty and improve health behaviors by providing Bluetooth-enabled smart devices (including blood pressure and blood glucose meters) for the older adults aged over 65 years and above in South Korea.

Methods

Using a qualitative descriptive methodology, interviews and qualitative surveys were conducted with 15 registered nurses from 11 public health centers. Data were analyzed using qualitative content analysis.

Results

The study found that the AI·IoT-based healthcare pilot project was well received by participants, leading to increased client satisfaction and improved health behaviors. Government support and funding were crucial facilitators of project implementation. However, technical challenges and disparities in digital literacy among older adults pose significant barriers.

Conclusion

The findings highlight the potential of AI·IoT technologies in improving the healthcare of older adults. Efforts to address technological challenges and enhance digital literacy among vulnerable populations are necessary for successfully implementing such interventions. Government support and ongoing training for healthcare professionals can help optimize the AI·IoT-based healthcare services for older adults.

Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review

Introduction

Lack of engagement is a common challenge for digital health interventions. To achieve their potential, it is necessary to understand how best to support users' engagement with interventions and target health behaviors. The aim of this systematic review was to identify the behavioral theories and behavior change techniques being incorporated into mobile health apps and how they are associated with the different components of engagement.

Methods

The review was structured using the PRISMA and PICOS frameworks and searched six databases in July 2022: PubMed, Embase, CINAHL, APA PsycArticles, ScienceDirect, and Web of Science. Risk of bias was evaluated using the Cochrane Collaboration Risk of Bias 2 and the Mixed Methods Appraisal Tools.

Analysis

A descriptive analysis provided an overview of study and app characteristics and evidence for potential associations between Behavior Change Techniques (BCTs) and engagement was examined.

Results

The final analysis included 28 studies. Six BCTs were repeatedly associated with user engagement: goal setting, self-monitoring of behavior, feedback on behavior, prompts/cues, rewards, and social support. There was insufficient data reported to examine associations with specific components of engagement, but the analysis indicated that the different components were being captured by various measures.

Conclusion

This review provides further evidence supporting the use of common BCTs in mobile health apps. To enable developers to leverage BCTs and other app features to optimize engagement in specific contexts and individual characteristics, we need a better understanding of how BCTs are associated with different components of engagement.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022312596.

Supplementing a widely available weight loss program with gamified inhibitory control training: A randomized pilot study

Background

Increasing evidence suggests that targeting self-regulatory processes may improve obesity treatment outcomes. Incorporating gamification principles in inhibitory control training may promote sustained training adherence and resulting benefits. This pilot study evaluated the preliminary efficacy of supplementing an evidence-based weight management program (WW) with sustained gamified inhibitory control training (PolyRules!) on change in Body Mass Index (BMI) among adults with overweight/obesity.

Methods

30 adults with overweight/obesity (M age 49.9 ± 12.4, 86.7% female; 23.3% Hispanic, mean BMI 35.3 ± 6.3) were randomly assigned to receive WW with or without PolyRules! for 12 weeks. The primary outcome was change in BMI from baseline to post-intervention across study arms. Implementation and process indicators were captured to inform larger trials.

Results

Average change in BMI was -0.9 in the WW arm and -1.2 in the WW + PolyRules! arm (Cohen's d = 0.26). In the WW + PolyRules! arm, increased training was associated with greater decreases in BMI (r = -0.506, p = 0.0454). WW + PolyRules! participants completed an average of 60.4% sessions and reported positive experiences. There was no difference in frequency of food (d = -0.02) and weight tracking (d = -0.19) between arms.

Conclusions

Studies in larger samples should evaluate training-related effects on weight. Supplementing WW with gamified inhibitory training appears feasible, with no detrimental effect on engagement.

A Rapid Review of the Impact of Family-Based Digital Interventions for Obesity Prevention and Treatment on Obesity-Related Outcomes in Primary School-Aged Children

Virtual delivery of obesity prevention and treatment programs may be effective for supporting children and families to adopt healthy lifestyle changes while enhancing program accessibility. This rapid review aimed to summarize the impact of family-based digital interventions for childhood obesity prevention and treatment. Four databases were searched up to February 2021 for trials of interactive digital programs aimed to prevent and/or treat obesity in children aged 5-12 years and reported diet, physical activity, sedentary behavior, sleep, or weight-related outcomes in children. A total of 23 publications (from 18 interventions) were included. Behavior change theories were used in 13 interventions with "Social Cognitive Theory" applied most frequently (n = 9). Interventions included websites (n = 11), text messaging (n = 5), video gaming (n = 2), Facebook (n = 3), and/or mobile applications (n = 2). Studies reported changes in body mass index (BMI; n = 11 studies), diet (n = 11), physical activity (n = 10), screen time (n = 6), and/or sleep (n = 1). Significant improvements were reported for diet (n = 5) or physical activity (n = 4). Two of the six interventions were effective in reducing screen time. Digital interventions have shown modest improvements in child BMI and significant effectiveness in diet and physical activity, with emerging evidence supporting the use of social media and video gaming to enhance program delivery.

Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults

BACKGROUND & AIMS

Visual body composition (VBC) estimates produced from smartphone-based artificial intelligence represent a user-friendly and convenient way to automate body composition remotely and without the inherent geographical and monetary restrictions of other body composition methods. However, there are limited studies that have assessed the reliability and agreement of this method and thus, the aim of this study was to evaluate VBC estimates compared to a 4-compartment (4C) criterion model.

METHODS

A variety of body composition assessments were conducted across 184 healthy adult participants (114 F, 70 M) including dual-energy X-ray absorptiometry and bioimpedance spectroscopy for utilization in the 4C model and automated assessments produced from two smartphone applications (Amazon Halo®, HALO; and myBVI®) using either Apple® or Samsung® phones. Body composition components were compared to a 4C model using equivalence testing, root mean square error (RMSE), and Bland-Altman analysis. Separate analyses by sex and racial/ethnic groups were conducted. Precision metrics were conducted for 183 participants using intraclass correlation coefficients (ICC), root mean squared coefficients of variation (RMS-%CV) and precision error (PE).

RESULTS

Only %fat produced from HALO devices demonstrated equivalence with the 4C model although mean differences for HALO were <±1.0 kg for FM and FFM. RMSEs ranged from 3.9% to 6.2% for %fat and 3.1-5.2 kg for FM and FFM. Proportional bias was apparent for %fat across all VBC applications but varied for FM and FFM. Validity metrics by sex and specific racial/ethnic groups varied across applications. All VBC applications were reliable for %fat, fat mass (FM), and fat-free mass (FFM) with ICCs ≥0.99, RMS-%CV between 0.7% and 4.3%, and PEs between 0.3% and 0.6% for %fat and 0.2-0.5 kg for FM and FFM including assessments between smartphone types.

CONCLUSIONS

Smartphone-based VBC estimates produce reliable body composition estimates but their equivalence with a 4C model varies by the body composition component being estimated and the VBC being employed. VBC estimates produced by HALO appear to have the lowest error, but proportional bias and estimates by sex and race vary across applications.

Employing Smartphone Health Apps in Weight Management for Adolescents: Analysis on Experiences and Perspectives From Pediatric Providers

The rising popularity of smartphone health applications (apps) offers great potential for facilitating pediatric weight management. Pediatric providers can determine health interventions for young patients with excess weight. We surveyed 51 pediatric providers at a Midwest academic medical institution and found that 78% thought currently available resources were not sufficient for pediatric weight management. In all, 76% of respondents reported use of at least one smartphone health app for their personal health. The quality of pediatric providers' experiences with their favorite app was strongly associated with their willingness to recommend the app to their patients (P < .001), but few of them have made such a recommendation in practice, mainly due to the lack of either personal knowledge about health apps or about evidence-based health apps for pediatric weight management. Moreover, respondents shared ideas about qualities for an effective health app, which shed new light on developing apps specifically for adolescents with excess weight.

The effectiveness of user-focused mobile health applications in paediatric chronic disease management: A systematic review

PROBLEM

This systematic review aims to evaluate the effectiveness of user-focused mobile health (mHealth) applications in paediatric chronic disease management.

ELIGIBILITY CRITERIA

Articles were included under the Population Intervention Comparator Outcome Study (PICOS) design framework for (P) children with a chronic disease, (I) mHealth user-focused apps, (C) usual care/control groups, (O) health outcomes related to chronic diseases, and (S) randomised controlled trials. This study followed the guidelines provided by Cochrane, Preferred Reporting Items for Systematic Reviews and Meta-Analysis, and Mobile Health Evidence Reporting and Assessment.

SAMPLE

A comprehensive literature search screening was conducted via CINAHL, PubMed, CENTRAL, ELSEVIER, SAGE, Science Direct, Scopus, Taylor Francis, WoS, and IEEE XPLORE from inception to November 15, 2020.

RESULTS

The review included seven articles, which combined provided data for a total of 755 children. The effects of the mHealth applications on the investigated 31 unique outcomes of five chronic paediatric diseases were mixed, ranging from effective to no effect. The risk of bias in the included studies was mostly either high or concerning according to Risk of Bias tool 2.0. The mobile apps that were evaluated were not standalone apps but were designed to interact with and provide data to healthcare providers.

CONCLUSION

Some mHealth interventions in this systematic review produced clinically meaningful and statistically relevant reductions in health outcomes related to chronic disease management. However, based on the available data, it is not possible to make definitive conclusions concerning the preferred target population of the interventions.

IMPLICATION

mHealth apps may be beneficial in improving selected patient outcomes in chronic disease management. Our results may assist the digital health services of hospitals, paediatric nurses who are interested in mHealth, and children who have a chronic disease.

Traffic Light Diets for Childhood Obesity: Disambiguation of Terms and Critical Review of Application, Food Categorization, and Strength of Evidence

Traffic light labeling (TLL) of foods is a strategy often included in multicomponent behavioral interventions (MBIs) for childhood obesity. Traffic light labels categorize foods as "green" (no restrictions), "yellow" (moderation), and "red" (consume minimally). The body of research investigating the effects of TLL conflates the labeling itself with MBIs that include TLL as one component. For instance, the Academy of Nutrition and Dietetics' Evidence Analysis Library gave traffic light diets Grade I evidence for pediatric weight management. Yet, whether the term traffic light diet referenced TLL in isolation or as part of an MBI was ambiguous. Herein, we evaluate the evidence supporting TLL for childhood obesity as a stand-alone treatment and identify areas requiring further research. No articles from a PubMed search for TLL and weight-related outcomes tested TLL in isolation. One article was identified through reference lists that tested TLL mostly in isolation, which observed no significant differences between groups. TLL definitions and categorizations vary across studies and contexts, using average calories in categories of foods, energy density, or specific ingredients to determine labeling. Systematic reviews generally conclude TLL-based approaches affect food selection and consumption, but none studied obesity-related outcomes. We believe the evidence supports that: 1) there is a lack of standardization regarding TLL food classifications; 2) the term "traffic light diet" is inconsistently used to mean intensive lifestyle programs or TLL itself; and 3) there is insufficient evidence to understand the effects of TLL as an isolatable factor for childhood obesity. Importantly, limited evidence about TLL does not mean it is ineffective; TLL has been incorporated into successful childhood obesity intervention programs, but the unique causal contribution of TLL remains uncertain. Standardized definitions of traffic light labels for categorizing foods and trials with TLL alone are needed to test direct impacts of TLL on obesity-related outcomes.

Usability and Engagement Testing of mHealth Apps in Paediatric Obesity: A Narrative Review of Current Literature

Mobile health (mHealth) platforms have become increasingly popular for delivering health interventions in recent years and particularly in light of the COVID-19 pandemic. Childhood obesity treatment is an area where mHealth interventions may be useful due to the multidisciplinary nature of interventions and the need for long-term care. Many mHealth apps targeting youth exist but the evidence base underpinning the methods for assessing technical usability, user engagement and user satisfaction of such apps with target end-users or among clinical populations is unclear, including for those aimed at paediatric overweight and obesity management. This review aims to examine the current literature and provide an overview of the scientific methods employed to test usability and engagement with mHealth apps in children and adolescents with obesity. A narrative literature review was undertaken following a systematic search. Four academic databases were searched. Inclusion criteria were studies describing the usability of mHealth interventions for childhood obesity treatment. Following the application of inclusion and exclusion criteria, fifty-nine articles were included for full-text review, and seven studies met the criteria for usability and engagement in a clinical paediatric population with obesity. Six apps were tested for usability and one for engagement in childhood obesity treatment. Sample sizes ranged from 6–1120 participants. The included studies reported several heterogenous measurement instruments, data collection approaches, and outcomes. Recommendations for future research include the standardization and validation of instruments to measure usability and engagement within mHealth studies in this population.

Use of mobile app to monitoring growth outcome of children: A systematic literature review

Advances in knowledge and technology have created opportunities to help monitor child growth. Thus, we conducted a systematic review to determine if the use of mobile apps resulted in improved growth outcomes for children. We include articles published related to children's growth with poor nutritional status. The relevant articles were searched from PubMed, ScienceDirect, Scopus, ProQuest, and Google Scholar. Twelve studies were identified, which is the use of the mobile app to monitor growth in undernutrition and obesity in children. Six studies found that the use of mobile apps improved undernutrition child growth and improved parents' and/or front health workers' knowledge to prevent, treat, and monitor children with undernutrition. Six studies stated that the use of mobile app helps overweight/obese children lose weight and motivate them to achieve ideal body weight. Mobile apps for monitoring the growth of children with various standards are likely a promising means for early detection of growth failure and guiding overweight/obese children in gaining normal weight. Studies with large sample sizes and long-term interventions and follow-ups are needed to help assess the effectiveness of mobile app intervention programs and their impact on multiple growth outcomes more comprehensively and accurately.

Effectiveness of mobile application on changing weight, healthy eating habits, and quality of life in children and adolescents with obesity: a randomized controlled trial

BACKGROUND

A technology-based intervention, such as a mobile application, was a growing interest and potentially effective modality for treating obesity. The study aimed to evaluate the effectiveness of the OBEST, a new mobile/tablet-based application in reducing weight and encouraging healthy eating behaviors and quality of life in children with obesity. The application could assist healthcare professionals to treat children and adolescents with obesity.

METHODS

A randomized controlled trial was conducted in the hospital and school settings in Chiang Mai, Thailand. Seventy-seven children and adolescents with obesity were randomized into two groups; one received standard care combined with the OBEST application, and the other received only standard care. The outcomes were changes in weight, healthy eating behaviors, and quality of life assessed by the Pediatric Quality of Life Inventory (PedsQL) from baseline to six-month follow-up between the two groups.

RESULTS

The results showed that the intervention group reduced more body mass index (BMI) and had a higher number of participants engaging in healthy eating behaviors than the standard care group but did not reach a statistically significant level, except for less frequent consumption of fast food. The participants in the intervention group had 4.5 times higher odds of decreased engaging in fast-food consumption than the standard care group at 6 months follow-up (odds ratio, 4.5 [95% CI, 1.41 to 14.35]). There were no statistically significant changes in PedsQL scores over 6 months in between groups.

CONCLUSIONS

The current study was unable to detect a significant effect of the OBEST application as an adjunct tool to the standard treatment on reducing weight in obese children and adolescents. However, the mobile application might help to increase engaging in healthy eating behaviors. Further studies with a larger sample are needed to confirm our findings.

TRIAL REGISTRATION

The trial was retrospectively registered at the Thai Clinical Trials Registry (trial registration number: TCTR20200604008 , on June 4, 2020).

Use of a Mobile Lifestyle Intervention App as an Early Intervention for Adolescents With Obesity: Single-Cohort Study

Background

Effective, resource-efficient treatment is urgently needed to address the high rates of pediatric and adolescent obesity. This need has been accelerated by the COVID-19 pandemic. The use of a mobile health tool as an early intervention before a clinic-based multidisciplinary weight management program could be an effective treatment strategy that is appropriate during a pandemic.

Objective

This study aims to assess the effectiveness of and adolescent engagement with a mobile app–based lifestyle intervention program as an early intervention before enrollment in a clinic-based multidisciplinary weight management program.

Methods

This prospective single-cohort study involved adolescents, aged 10-16 years, who were overweight and obese (defined as BMI percentile above the 85th percentile). Participants used the mobile Kurbo app as an early intervention before enrolling in a clinic-based multidisciplinary weight management program. Kurbo’s health coaches provided weekly individual coaching informed by a model of supportive accountability via video chat, and participants self-monitored their health behavior. The implementation of Kurbo as an early intervention was evaluated using the reach, effectiveness, adoption, implementation, and maintenance framework by reach (number who consented to participate out of all patients approached), implementation (Kurbo engagement and evaluation), and effectiveness as measured by the primary outcome of the BMI z-score at 3 months. Secondary outcome measures included changes in body fat percentage, nutrition and physical activity levels, and quality of life at 3 months. Maintenance was defined as the outcome measures at 6-month follow-up.

Results

Of the 73 adolescents who were approached for enrollment, 40 (55%) of adolescents were recruited. The mean age was 13.8 (SD 1.7) years, and the mean BMI z-score was 2.07 (SD 0.30). In the multiethnic Asian sample, 83% (33/40) of the participants had household incomes below the national median. Kurbo engagement was high, with 83% (33/40) of participants completing at least 7 coaching sessions. In total, 78% (18/23) of participants rated the app as good to excellent and 70% (16/23) stated that they would recommend it to others. There were no statistically significant changes in BMI z-scores at 3 months (P=.19) or 6 months (P=.27). Participants showed statistically significant improvements in measured body fat percentage, self-reported quality of life, and self-reported caloric intake from the 3-day food diaries at 3 and 6 months.

Conclusions

The use of Kurbo before enrollment in an outpatient multidisciplinary clinical care intervention is a feasible strategy to expand the reach of adolescent obesity management services to a low-income and racially diverse population. Although there was no significant change in BMI z-scores, the use of Kurbo as an early intervention could help to improve quality of life and reduce body fat percentage and total caloric intake.

Pediatric Obesity Treatment via Telehealth: Current Evidence and Future Directions

PURPOSE OF REVIEW

Telehealth delivery of pediatric weight management interventions may address time, travel, and cost barriers to in-person interventions, thus improving accessibility. This narrative review highlights findings from the past 5 years of pediatric lifestyle interventions for weight management that utilize telehealth for treatment delivery. We describe impressions and future directions.

RECENT FINDINGS

We identified and included 20 studies that described unique interventions from the past 5 years. The majority of reviewed studies indicated statistically significant reductions in BMI z-scores, high retention and attendance, and high satisfaction. However, mean decreases in BMI z-scores were marginal (approximately 0.10) in all but two studies. Studies did not often report effect sizes. Pediatric telehealth weight management interventions demonstrate good feasibility and acceptability. Improvement in reporting results and more rigorous research, including use of randomized designs, recruitment of larger samples, and incorporation of extended follow-up is needed to determine clinical impact and magnitude of effects.

Feasibility and Preliminary Efficacy of a Multimodal Approach to Increase Physical Activity in Older Adults With Memory Complaints: The Education for Action Study

In this randomized controlled pilot trial, the authors explored the feasibility, technology compliance, and preliminary efficacy of the Education for Action (EDU-ACT), a multimodal intervention combining evidence-based strategies of physical activity (PA) education and coaching in PA levels over 4 weeks between EDU-ACT and control groups. The authors also assessed pre-post changes in neurocognitive function, functional mobility and dual-task performance, sleep and quality of life. Thirty-two sedentary older adults with memory complaints (age = 66 ± 5.3) completed the study (EDU-ACT = 18 and control = 14). The EDU-ACT adherence rate was 95%, and compliance of daily PA reporting was, on average, 22.7 days (94.6%). The EDU-ACT group demonstrated a significantly greater number of steps, processing speed, and dual-task performance when compared with controls (p < .05). In this study, a multimodal, evidence-based, low-cost intervention was feasible, well-accepted, with high adherence and compliance rates, and effective at promoting clinically meaningful increases in PA, for at least 1 month postintervention, in older adults with memory complaints.

Implementing Goal Mama: Barriers and Facilitators to Introducing Mobile Health Technology in a Public Health Nurse Home-Visiting Program

The present study explores barriers and facilitators experienced by public health nurses introducing a mobile health technology platform (Goal Mama) to the Nurse-Family Partnership home-visiting program. Goal Mama is a HIPAA-compliant goal-coaching and visit preparation platform that clients and nurses use together to set and track goals. Forty-two nurses across five sites, including urban, suburban, and rural communities, piloted the platform with clients for 6 months. The mixed method, QUAL+quan pilot evaluation focused on deeply understanding the implementation process. Data were analyzed via iterative content analysis and multivariate regression analysis, and triangulated to identify salient findings. Over 6 months of use participants identified critical areas for product and implementation improvement, but still viewed the platform favorably. Key opportunities for improving sustained use revolved around supporting the technological and programmatic integration needed to lower key barriers and further facilitate implementation.

Digital Tools to Support Family-Based Weight Management for Children: Mixed Methods Pilot and Feasibility Study

BACKGROUND

Family-based behavioral therapy is an efficacious approach to deliver weight management counseling to children and their parents. However, most families do not have access to in-person, evidence-based treatment. We previously developed and tested DRIVE (Developing Relationships that Include Values of Eating and Exercise), a home-based parent training program to maintain body weight among children at risk for obesity, with the intent to eventually disseminate it nationally alongside SafeCare, a parent support program that focuses on parent-child interactions. Currently the DRIVE program has only been tested independently of SafeCare. This study created the "mHealth DRIVE" program by further adapting DRIVE to incorporate digital and mobile health tools, including remotely delivered sessions, a wireless scale that enabled a child-tailored weight graph, and a pedometer. Telehealth delivery via mHealth platforms and other digital tools can improve program cost-effectiveness, deliver long-term care, and directly support both families and care providers.

OBJECTIVE

The objective of this study was to examine preliminary acceptability and effectiveness of the mHealth DRIVE program among children and parents who received it and among SafeCare providers who potentially could deliver it.

METHODS

Study 1 was a 13-week pilot study of a remotely delivered mHealth family-based weight management program. Satisfaction surveys were administered, and height and weight were measured pre- and post-study. Study 2 was a feasibility/acceptability survey administered to SafeCare providers.

RESULTS

Parental and child satisfaction (mean of 4.9/6.0 and 3.8/5.0, respectively) were high, and children's (N=10) BMI z-scores significantly decreased (mean -0.14, SD 0.17; P=.025). Over 90% of SafeCare providers (N=74) indicated that SafeCare families would benefit from learning how to eat healthily and be more active, and 80% of providers reported that they and the families would benefit from digital tools to support child weight management.

CONCLUSIONS

Pediatric mHealth weight management interventions show promise for effectiveness and acceptability by families and providers.

TRIAL REGISTRATION

Clinicaltrials.gov NCT03297541, https://clinicaltrials.gov/ct2/show/NCT03297541.

Lifestyle intervention using mobile technology and smart devices in patients with high cardiovascular risk: A pragmatic randomised clinical trial

BACKGROUND AND AIMS

Mobile technology-based solutions present promising effects against cardiovascular diseases. Long-term follow-up in mobile phone-based interventions has not yet been elucidated as a primary prevention technique for cardiovascular diseases. The objective of the present trial is to evaluate the effectiveness of lifestyle intervention on the change in the atherosclerotic cardiovascular disease (ASCVD) risk score in a 1-year follow-up using smart phone technology in patients with high cardiovascular risk.

METHODS

This prospective, randomised, single-centre clinical investigation enrolled 242 and 241 patients to the intervention plus usual care and usual care arms, respectively. The primary outcome of this study was the 1-year ASCVD risk score adjusted to baseline ASCVD risk score. ASCVD risk scores were calculated for every study participant at the randomisation and final stages.

RESULTS

After a 1-year follow-up, the intervention plus usual care reduced the ASCVD score by 2.7% (adjusted treatment effect -2.7, 95% confidence interval (CI): -2.2,-3.3, p<0.0001). An improvement was observed in favour of the intervention plus usual care arm in the majority of the pre-specified secondary endpoints. The high sensitive troponin and high sensitive C-reactive protein levels at 1 year were similar between the two arms. The treatment effect was homogenous for diabetes mellitus, gender, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides and body mass index; however, heterogeneity in the treatment effect was observed for age.

CONCLUSIONS

The lifestyle intervention using smart phone technology compared to usual care alone in patients with high cardiovascular risk reduced the ASCVD score at 1-year follow-up.

Description of an mHealth tool for breastfeeding support: LactApp. Analysis of how lactating mothers seek support at critical breastfeeding points and according to their infant's age

Interventions in mHealth have had positive effects on establishing and maintaining breastfeeding, but we still do not know what content women consult when downloading a breastfeeding mobile application. We conducted an observational, descriptive, and retrospective study using the data recorded by LactApp in 2019. The most frequently consulted topics were those related to breastfeeding technique, infant sleep, human milk management and storage, breastfeeding myths, breastfeeding stages, complementary feeding, infant care, and returning to work. Our study results suggest that LactApp's support seems to develop with mothers' needs according to their infant's development stage. The first breastfeeding days include more physiological answers. Between 15 days and 3 months, mothers look for support in topics like breastfeeding crisis/complications and returning to work. At 3 months to 1 year, answers are related to complementary feeding and weaning. When the user's infant is 1 year of age, mothers seek support for weaning, weaning management, and tandem breastfeeding.

Design, Adoption, Implementation, Scalability, and Sustainability of Telehealth Programs

Telehealth and telemedicine services can be a solution for improving accessibility and reducing the cost of health care. Challenges remain in designing, implementing, and sustainably scaling telehealth solutions. Research is lacking on the health impacts and cost-effectiveness of telehealth; more data are needed in the evaluation of telehealth programs, adjusting for potential participant bias and extending the time frame of evaluating impact. In addition, rethinking and addressing the economic incentives and payment for telehealth services, as well as the medical-legal framework for provider competition across geographic regions (and jurisdictions), are needed for greater adoption of telehealth services.

Telehealth Opportunities and Challenges for Managing Pediatric Obesity

Telehealth is well positioned to address the common challenges of providing high-quality care to children and adolescents with obesity. The potential benefits of telehealth for pediatric obesity are applicable across the full spectrum of care from diagnosis and assessment to ongoing management. This article reviews the emerging field of telehealth for the treatment of pediatric obesity. The challenges of the current approach to pediatric obesity care are explored, and the potential benefits of incorporating and implementing telehealth in this field are presented. The care of pediatric patients with obesity is particularly well suited for telehealth.

Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice

Over the last decade, mobile technology has emerged as a potentially useful platform to facilitate weight management and tackle the current obesity epidemic. Clinicians are being more frequently asked to give advice about the usefulness of mobile apps and many individuals have already integrated apps into their attempts to manage weight. Hence, it is imperative for clinicians involved in weight management to be aware of the latest developments and knowledge about available mobile apps and their usefulness in this field. A number of newly published studies have demonstrated promising results of mobile-based interventions for weight management across different populations, but the extent of their effectiveness remains widely debated. This narrative literature review synthesizes the latest evidence, primarily from randomized controlled trials (RCTs), regarding the clinical use of mobile applications for weight management, as well as highlight key limitations associated with their use and directions for future research and practice. Overall, evidence suggests that mobile applications may be useful as low-intensity approaches or adjuncts to conventional weight management strategies. However, there is insufficient evidence to support their use as stand-alone intensive approaches to weight management. Further research is needed to clarify the extent of utility of these applications, as well as the measures required to maximize their potential both as stand-alone approaches and adjuncts to more intensive programs.