SynthesisInternational journal of environmental research and public health2022
Parents' Experiences Using Digital Health Technologies in Paediatric Overweight and Obesity Support: An Integrative Review.
Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Interventions to Reduce Screen Time in Preschool-Aged Children: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Pooled it
- Trial
- Parental needs and experiences with e-Health applications in chronic pediatric care - a scoping review.BMC pediatrics · 2026Article
- Integrating digital health into pediatric obesity management: Current practices and future perspectives.Obesity pillars · 2025Review
- The Good Start Matters mHealth Parenting Program: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Childhood obesity in South Asian population.Obesity pillars · 2024Article
- Time to act on childhood obesity: the use of technology.Frontiers in pediatrics · 2024Review
- Comparison of a Telehealth-Based Intensive Treatment Program with a Rewarding App vs. On-Site Care for Youth with Obesity: A Historical Cohort Study.Children (Basel, Switzerland) · 2023Article
- Relationship between Behavioural Intention for Using Food Mobile Applications and Obesity and Overweight among Adolescent Girls.International journal of environmental research and public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to explore parents' perspectives regarding the use of digital health technologies in paediatric overweight and obesity weight support. A systematic search in 'Academic Search Premier', 'British Nursing Index', 'Cumulative Index to Nursing and Allied Health', and 'Health Research Premium Collection' was conducted in November 2021. Inclusion criteria were English or Nordic peer-reviewed articles published after 2010, overweight and obese children aged 2-10, weight support using digital health technologies, and parental experiences examined. An integrative review was conducted using Joanna Briggs Institute quality appraisal checklists and a constant comparison analysis method. In total, 14 articles were analysed that included SMS, telephone, apps, websites, and social media as the main technology groups. A limitation of this review was the heterogenicity of the studies. The results indicate that parents, mostly mothers, had a positive experience, finding technologies helpful and easy to use, and expressed optimism toward future use. An option for interacting with others and the possibility of personalising support were enjoyed or requested. In conclusion, digital health technologies can be a suitable tool to empower the parents of children with overweight and obesity concerns, whose perspective should be considered during the design and support phases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.