ArticleFamily practice2023
Determinants of dropout and compliance of children participating in a multidisciplinary intervention programme for overweight and obesity in socially deprived areas.
Article in Family practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 5 citations in OpenAlex.
- Who Benefited Most? Identifying Parent-Child Dyads With Improved Weight Outcomes in the Feel4Diabetes Study.Pediatric obesity · 2026Article
- Obesity Phenotyping in Children and Adolescents: Next Steps Towards Precision Medicine in Pediatric Obesity.Nutrients · 2026Review
- Article
- Effectiveness of Smartphone App for the Treatment of Pediatric Obesity: A Randomized Controlled Trial.Children (Basel, Switzerland) · 2024Article
- Treating Children and Adolescents with Obesity: Predictors of Early Dropout in Pediatric Weight-Management Programs.Children (Basel, Switzerland) · 2024Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChildren with overweight and obesity in socially deprived areas (SDAs) are less likely to complete and be compliant to a weight-loss programme.
objectivesTo identify factors associated with dropout and compliance of a multidisciplinary weight-loss programme in SDA.
methodsThis prospective longitudinal cohort study included children (6-12 years) with overweight and obesity in a 12-week multidisciplinary intervention living in SDA in Rotterdam, the Netherlands. Potential predictive variables for dropout and compliance included were age, sex, the weight of the child and parents, quality of life, and referral status (self-registration or referral). A Cox proportional hazards model was performed to study the association between dropout and its potential predictive variables, whereas logistic regression analyses were used for the potential predictors for compliance.
resultsA total of 121 children started the intervention programme. Forty-one (33.9%) children dropped out and 68 (56.2%) were compliant with the intervention. The risk of dropping out of the intervention was significantly lower for a child with overweight parents than for those with parents with normal weight (adjusted hazard ratio [HR] 0.22 [95% confidence interval, CI 0.063-0.75]), and for those with parents with obesity (adjusted HR 0.18 [95% CI 0.060-0.52]). No other potential predictive variables were associated with dropout or compliance.
conclusionChildren from SDA participating in a weight-loss programme have a relatively high dropout and a low compliance rate. Parental weight seems to be an important predictor for dropout of children from SDA, where children with normal weight or obese parents have the highest risk of dropout compared with children of overweight parents.
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.