Background: Multicomponent family interventions underline current best practice in childhood obesity treatment. Mobile health (mHealth) adjuncts that address eating and physical activity behaviors have shown promise in clinical studies.
Objective: This study aimed to describe process methods for applying an mHealth intervention to reduce the rate of eating and monitor physical activity among children with obesity.
Methods: The study protocol was designed to incorporate 2 mHealth apps as an adjunct to usual care treatment for obesity. Children and adolescents (aged 9-16 years) with obesity (BMI ≥98th centile) were recruited in person from a weight management service at a tertiary health care center in the Republic of Ireland. Eligible participants and their parents received information leaflets, and informed consent and assent were signed. Participants completed 2 weeks of baseline testing, including behavioral and quality of life questionnaires, anthropometry, rate of eating by Mandolean, and physical activity level using a smart watch and the myBigO smartphone app. Thereafter, participants were randomized to the (1) intervention (usual clinical care+Mandolean training to reduce the rate of eating) or (2) control (usual clinical care) groups. Gender and age group (9.0-12.9 years and 13.0-16.9 years) stratifications were applied. At the end of a 4-week treatment period, participants repeated the 2-week testing period. Process evaluation measures included recruitment, study retention, fidelity parameters, acceptability, and user satisfaction.
Results: A total of 20 participants were enrolled in the study. A web-based randomization system assigned 8 participants to the intervention group and 12 participants to the control group. Attrition rates were higher among the participants in the intervention group (5/8, 63%) than those in the control group (3/12, 25%). Intervention participants undertook a median of 1.0 training meal using Mandolean (25th centile 0, 75th centile 9.3), which represented 19.2% of planned intervention exposure. Only 50% (9/18) of participants with smart watches logged physical activity data. Significant differences in psychosocial profile were observed at baseline between the groups. The Child Behavior Checklist (CBCL) mean total score was 71.7 (SD 3.1) in the intervention group vs 57.6 (SD 6.6) in the control group, t-test P<.001, and also different among those who completed the planned protocol compared with those who withdrew early (CBCL mean total score 59.0, SD 9.3, vs 67.9, SD 5.6, respectively; t-test P=.04).
Conclusions: A high early attrition rate was a key barrier to full study implementation. Perceived task burden in combination with behavioral issues may have contributed to attrition. Low exposure to the experimental intervention was explained by poor acceptability of Mandolean as a home-based tool for treatment. Self-monitoring using myBigO and the smartwatch was acceptable among this cohort. Further technical and usability studies are needed to improve adherence in our patient group in the tertiary setting.
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http://dx.doi.org/10.2196/16925 | DOI Listing |
Physiother Res Int
January 2025
College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Background: Proprioceptive deficits are common among stroke survivors and can negatively impact their balance and postural control. However, there has been little evaluation of the change in proprioceptive deficits in the lower limbs over time after stroke. This study aimed to examine proprioceptive deficits over time after stroke in both the affected and "unaffected" lower limbs.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Sports Studies, Faculty of Educational Studies, University Putra Malaysia, Serdang, 43400, Selangor, Malaysia.
This review aims to conduct a meta-analysis of the impact of high-intensity training (HIT) on athlete jumping performance. As of May 2024, we conducted a comprehensive search on PubMed, Web of Science, SCOPUS, and EBSCOhost databases in accordance with the PRISMA guidelines. Use the PEDro scale to evaluate the methodological quality of the included study.
View Article and Find Full Text PDFBMC Pulm Med
January 2025
Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Background: This study investigated the acute effects of inspiratory muscle warm-up (IWU) on vocal performance in singers. Proper vocal and respiratory warm-up can enhance vocal range, quality, and endurance. The aim was to determine whether IWU improves maximum phonation time and pitch range, contributing to better voice production efficiency (vocal efficiency) and reduced fatigue.
View Article and Find Full Text PDFGeriatr Gerontol Int
January 2025
Department of Urology, College of Medicine and Shu-Tien Urological Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Aim: Adequate pelvic floor support for the urethra is crucial for preventing stress urinary incontinence (SUI). Obesity is an established risk factor for SUI. This study aimed to explore the relationship between SUI and body composition, specifically focusing on muscle and fat mass.
View Article and Find Full Text PDFJ Prev Alzheimers Dis
January 2025
School of Psychology, University of New South Wales, Sydney, NSW 2057, Australia; Neuroscience Research Australia, Margarete Ainsworth Building, 139 Barker St, Randwick NSW 2031, Australia. Electronic address:
Background: A brain healthy lifestyle, consisting of good cardiometabolic health and being cognitively and socially active in midlife, is associated with a lower risk of cognitive decline years later. However, it is unclear whether lifestyle changes over time also affect the risk for mild cognitive impairment (MCI)/dementia, and rate of cognitive decline.
Objectives: To investigate if lifestyle changes over time are associated with incident MCI/dementia risk and rate of cognitive decline.
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