A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours.

The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness of e- and m-Health interventions designed to improve physical activity, sedentary behaviour, healthy eating and sleep. Nine electronic databases were searched for eligible studies published from inception to 1 June 2023. Systematic reviews with meta-analyses of RCTs that evaluate e- and m-Health interventions designed to improve physical activity, sedentary behaviour, sleep and healthy eating in any adult population were included. Forty-seven meta-analyses were included, comprising of 507 RCTs and 206,873 participants. Interventions involved mobile apps, web-based and SMS interventions, with 14 focused on physical activity, 3 for diet, 4 for sleep and 26 evaluating multiple behaviours. Meta-meta-analyses showed that e- and m-Health interventions resulted in improvements in steps/day (mean difference, MD = 1329 [95% CI = 593.9, 2065.7] steps/day), moderate-to-vigorous physical activity (MD = 55.1 [95% CI = 13.8, 96.4] min/week), total physical activity (MD = 44.8 [95% CI = 21.6, 67.9] min/week), sedentary behaviour (MD = -426.3 [95% CI = -850.2, -2.3] min/week), fruit and vegetable consumption (MD = 0.57 [95% CI = 0.11, 1.02] servings/day), energy intake (MD = -102.9 kcals/day), saturated fat consumption (MD = -5.5 grams/day), and bodyweight (MD = -1.89 [95% CI = -2.42, -1.36] kg). Analyses based on standardised mean differences (SMD) showed improvements in sleep quality (SMD = 0.56, 95% CI = 0.40, 0.72) and insomnia severity (SMD = -0.90, 95% CI = -1.14, -0.65). Most subgroup analyses were not significant, suggesting that a variety of e- and m-Health interventions are effective across diverse age and health populations. These interventions offer scalable and accessible approaches to help individuals adopt and sustain healthier behaviours, with implications for broader public health and healthcare challenges.

A pragmatic trial of a family-centered approach to childhood obesity treatment: Rationale and study design.

BACKGROUND: Family-based behavioral treatment (FBT) is an effective intensive health behavior and lifestyle treatment for obesity reduction in children and adolescents, but families have limited access. The purpose of this randomized, pragmatic, comparative effectiveness trial was to examine changes in child relative weight in a 12-month, enhanced standard of care (eSOC) intervention combined with FBT (eSOC+FBT) vs. eSOC alone. METHODS: Children aged 6 to 15 years with obesity, and their primary caregiver, were recruited from primary care clinics. Families were randomized 1:1 to eSOC, a staged approach led by the primary care provider that gradually intensified dependent on a child's response to care and aligns with the American Medical Association guidelines, or the eSOC+FBT arm, which included regular meetings with a health coach for healthy eating, physical activity, positive parenting strategies, and managing social and environmental cues. Both treatments align with the 2023 American Academy of Pediatrics clinical practice guidelines. Assessments occurred at baseline, midpoint (month 6), end-of-intervention (month 12), and follow-up (month 18). Primary outcome was change from baseline to 12 months in child percent overweight (percentage above the median body mass index in the general US population normalized for age and sex). Secondary outcomes were parent weight, child psychosocial factors, heterogeneity of treatment effects, and cardiometabolic risk factors. Exploratory outcomes assessed reach, effectiveness, adoption, implementation, and maintenance. CONCLUSION: This pragmatic trial will generate evidence for the comparative effectiveness of implementing two guidelines-based approaches in primary care for obesity reduction in children and adolescents. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03843424.

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.

Adolescent Diet Quality, Cardiometabolic Risk, and Adiposity: A Prospective Cohort.

OBJECTIVE: Examine the prospective association among diet with adolescent cardiometabolic risk (CMR) and anthropometrics. METHODS: Secondary analysis of an observational study of adolescents aged 10-16 years. Twenty-four-hour food recalls were used to calculate Healthy Eating Index-2015 (HEI-2015) scores. Anthropometrics were assessed using magnetic resonance imaging, dual-energy x-ray absorptiometry, and height/weight measurements. CMR included mean arterial pressure, homeostatic model assessment for insulin resistance, high-density lipoprotein cholesterol, and triglycerides. Associations between HEI-2015 score at baseline with follow-up adiposity and CMR were examined using regression models. RESULTS: A total of 192 adolescents were included. Baseline HEI-2015 scores were inversely associated with follow-up total CMR z-score (P = 0.01), homeostatic model assessment for insulin resistance (P < 0.01), waist circumference z-score (P = 0.02), body mass index percentile (P = 0.01), fat mass (P = 0.04), lean mass (P = 0.02), and visceral adipose tissue mass (P = 0.01). CONCLUSIONS AND IMPLICATIONS: Adolescents with lower adherence to dietary guidelines and greater CMR and anthropometry measurements at baseline continued this trajectory across the observation.

Parents, but not their children, demonstrate greater delay discounting with resource scarcity.

BACKGROUND: Individuals with obesity tend to discount the future (delay discounting), focusing on immediate gratification. Delay discounting is reliably related to indicators of economic scarcity (i.e., insufficient resources), including lower income and decreased educational attainment in adults. It is unclear whether the impact of these factors experienced by parents also influence child delay discounting between the ages of 8 and 12-years in families with obesity. METHODS: The relationship between indices of family income and delay discounting was studied in 452 families with parents and 6-12-year-old children with obesity. Differences in the relationships between parent economic, educational and Medicaid status, and parent and child delay discounting were tested. RESULTS: Results showed lower parent income (p = 0.019) and Medicaid status (p = 0.021) were differentially related to greater parent but not child delay discounting among systematic responders. CONCLUSIONS: These data suggest differences in how indicators of scarcity influence delay discounting for parents and children, indicating that adults with scarce resources may be shaped to focus on immediate needs instead of long-term goals. It is possible that parents can reduce the impact of economic scarcity on their children during preadolescent years. These findings suggest a need for policy change to alleviate the burden of scarce conditions and intervention to modify delay discounting rate and to improve health-related choices and to address weight disparities.

Validation of remote assessment of preschool children's anthropometrics and motor skills.

Introduction: Remotely delivered treatment and research procedures were rapidly adopted in response to the COVID-19 pandemic. However, it is unclear if these measures are valid. The purpose of this study was to compare the validity of anthropometry and motor skill proficiency measurements collected in a remote-setting to in-person setting among a sample of children ages 3-4 years. Methods: Child anthropometry and motor skill performance were measured in-person by trained assessors and by parents at home with remote supervision via videoconference by trained assessors. The following measures from the National Institutes of Health Toolbox were collected: anthropometry (height and weight), manual dexterity/manipulation (9-hole pegboard), motor coordination and agility (supine timed up and go), lower body strength (standing long jump), and postural stability (one-leg standing balance). Differences in expert and parent-based measurements were assessed using Bland-Altman plots, paired samples t-tests, and Pearson correlations. Results: A total of n = 14 children completed the assessments. No significant differences were observed between measurement locations for weight and motor skills (p > .05). Remote measurement of height (M = 101.1 cm, SD = 5.40) was significantly greater than in-person measurements (M = 98.2 cm, SD = 5.16); p < .0001. Discussion: Remote measurements of motor skills and weight are valid assessments for researchers and clinicians to utilize in young children. Remote assessment with guidance offers comparable and valid estimates as in-person assessment, potentially offering a solution to resource-constricted barriers in research and access to care. There is an opportunity for researchers to fine-tune remote height and individual-level assessment strategies.