Trial reportEuropean journal of sport science2025
Effectiveness of a High-Intensity Interval Games Program in Extra-Curricular Context (MOVI-daFIT!) on Gross Motor Competence and Health-Related Quality of Life in Primary Schoolchildren: Cluster-Randomized Trial.
Trial report in European journal of sport science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- School-based physical activity interventions for mental health promotion and mental disease prevention in children and adolescents in high-income countries: a systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026Pooled it
- Effects of different types of physical activities on self-esteem in typically developing children and adolescents: a systematic review and network meta-analysis.Frontiers in public health · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
High-intensity interval training (HIIT) has emerged as a time-efficient approach to improve aerobic capacity, cardiovascular health, and cognitive functioning in children and adolescents. However, evidence regarding the impact of school-based HIIT programs on motor competence and health-related quality of life in children is limited. This study evaluated the effectiveness of a HIIT intervention, based on playground games on gross motor competence and health-related quality of life in schoolchildren aged 9-11 years. A cluster-randomized controlled trial was conducted with 562 participants. The intervention involved four weekly 60 min sessions of extracurricular physical activity using traditional games adapted to a HIIT protocol. Gross motor competence and health-related quality of life were assessed using the Movement Assessment Battery for Children-Second Edition (MABC-2) and the KIDSCREEN-27 questionnaire, respectively. Analyzes were conducted on an intention-to-treat basis using mixed linear regression models to compare changes from baseline to postintervention between the intervention and control groups. No significant improvements in gross motor competence or health-related quality of life were observed after adjusting for baseline variables, age, sex, and school. The results suggest that this HIIT-based program was not effective in enhancing gross motor competence or in improving health-related quality of life. Future programs could improve effectiveness by optimizing the balance between movement intensity and quality, aligning activities with gross motor competence assessment tools, emphasizing health-related quality of life components, training educators to enhance quality of life, extending intervention duration to impact self-esteem and psychological well-being, and improving adherence rates.
Indexed as
Identifiers
What OpenQuestion holds
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.