ArticleBMC public health2025
Adaptation and validation of the Washington group/unicef child functioning module in a nationally representative sample of Canadian children and youth.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Exploring the Child Functioning Module in Multiple Surveys in Ghana and Niger.International journal of environmental research and public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundThe Washington Group/UNICEF Child Functioning Module (WG/UNICEF CFM) was developed to identify children and youth with disabilities by assessing functional difficulties. This study focuses on the cognitive, emotional, and behavioral components of the WG/UNICEF CFM, as these domains are particularly relevant to understanding child and youth mental health and developmental functioning. The objective of this study was to examine the latent structure of these domains using a graded response scale in a nationally representative sample of Canadian children and youth aged 5-17 years and to evaluate how this approach captures the dimensional nature of functional difficulties.
methodsData for analyses come from the 2019 Canadian Health Survey on Children and Youth (n = 33,420). Survey data were collected by Statistics Canada using an electronic questionnaire that was either self-completed online or interviewer-administered by telephone. To assess the latent structure of the WG/UNICEF CFM, analyses were conducted in four linked phases focusing on the following 9 domains: self-care, communication, learning, remembering, concentrating, accepting change, behavior, relationships, and emotions. An exploratory factor analysis (EFA) was conducted first, followed by, confirmatory factor analysis (CFA), then evaluations of measurement invariance across age and sex and external validity using structural equation modeling and instrumental variables.
resultsResults indicated that a two-factor model best described the data, χ2(26, N = 16,810) = 619.076, p < 0.002, CFI = 0.98, TLI = 0.97, RMSEA = 0.037). Factor one represented Cognitive, Behavioural and Interpersonal Functional Difficulties; while Factor two represented Emotional Functional Difficulties. The construct validity tests supported the distinction between the two factors by demonstrating stronger associations with instrumental variables measuring similar underlying constructs.
conclusionsThis study extends existing research by demonstrating the utility of the WG/UNICEF CFM in assessing cognitive, behavioral, interpersonal, and emotional functional difficulties at the population level in a high-income country. The measure's strong psychometric properties, ease of use, and cost-free administration support its applicability in general population health surveys of children and youth. Findings highlight the value of a dimensional approach to functional difficulties, offering a more comprehensive understanding of population-level variations in functioning. Integrating this measure into large-scale surveys can facilitate trend monitoring, improve data-driven policy interventions, and support strategic planning for education, healthcare, and social services. These insights contribute to optimizing resource allocation and ensuring equitable access to services that address the diverse functional needs of children and youth.
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.