Evidence map›Paper›PMID 42552080›Full record

ArticleBMJ paediatrics open2026

Psychometric evidence for assessing early childhood development in Brazil: the Child Development Diagnostic Form in the Criança Feliz Program.

Ellayne Souza Cerqueira, Michael E Reichenheim, Ana Angélica Rodrigues Alves, Ricardo Rodrigues Dutra, Claudia Leite Moraes, Priscila Ribas de Farias Costa, Rita de Cássia Ribeiro-Silva, Mauricio L Barreto

Abstract read
In one paragraph

Article in BMJ paediatrics open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ellayne Souza CerqueiraPost-Graduation Program in Food, Nutrition and Health, School of Nutrition, Federal University of Bahia, Salvador, Brazil.ORCID http://orcid.org/0000-0002-3225-6647
Michael E ReichenheimDepartment of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-7232-6745
Ana Angélica Rodrigues AlvesUnited Nations Development Programme, Brasília, Distrito Federal, Brazil.ORCID http://orcid.org/0009-0005-6056-8348
Ricardo Rodrigues DutraMinistry of Development and Social Assistance, Family and Fight against Hunger, Brasília, Distrito Federal, Brazil.ORCID http://orcid.org/0009-0008-0698-0421
Claudia Leite MoraesDepartment of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-3223-1634
Priscila Ribas de Farias CostaPost-Graduation Program in Food, Nutrition and Health, School of Nutrition, Federal University of Bahia, Salvador, Brazil.ORCID http://orcid.org/0000-0003-3809-9037
Rita de Cássia Ribeiro-SilvaPost-Graduation Program in Food, Nutrition and Health, School of Nutrition, Federal University of Bahia, Salvador, Brazil.ORCID http://orcid.org/0000-0001-8476-5649
Mauricio L BarretoCenter for Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute (IGM), Oswaldo Cruz Foundation (Fiocruz), Salvador, Bahia, Brazil mauricio.barreto@fiocruz.br.ORCID http://orcid.org/0000-0002-0215-4930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChild development is a multidimensional process influenced by socioeconomic conditions. The Programa Criança Feliz (PCF), Brazil's largest home-visiting initiative, uses the Formulário de Observação Inicial do Desenvolvimento Infantil (FOIDI) to monitor developmental milestones. Despite being widely implemented, the FOIDI had not previously undergone formal validation. This study evaluated configural and metric validity of FOIDI in a representative sample of Brazilian children aged 0-36 months.

methodsA total of 183 974 assessments from 82 797 children in PCF (2020-2023) were analysed. Cohorts for seven age groups were divided into three independent partitions. Initially, Horn's parallel analysis determined the number of underlying factors. Confirmatory factor analyses followed, using weighted least-squares mean and variance adjusted estimator and polychoric correlation matrices. Model fit was evaluated using root mean square error of approximation, comparative fit index and Tucker-Lewis index. Items with factor loadings<0.40 were considered unreliable. Modification indices (MIs; univariate Lagrange multiplier) and expected parameter changes were used to identify potential cross-loadings and residual correlations. Convergent validity was estimated using average variance extracted (AVE≥0.50); discriminant validity was assessed by comparing the square root of AVE with factor correlations.

resultsModules exhibited unidimensional (M3-M7) or bidimensional structures (M1-M2), with factor loadings ranging from 0.519 to 0.903. AVE was≥0.50 for all factors evaluated, supporting convergent validity. Discriminant validity was confirmed within the bidimensional modules. The removal of redundant items increased model parsimony without compromising informativeness.

conclusionThe FOIDI demonstrated robust configural and metric validity, capturing core aspects of child development across different age groups in contexts of socioeconomic vulnerability. The refined instrument proved suitable for home-visiting programmes, offering a practical, reliable and scalable tool for developmental surveillance and the support of public policies.

Indexed as

Child DevelopmentPsychometricsBrazilChild, PreschoolFactor Analysis, StatisticalFemaleHumansInfantInfant, NewbornMaleReproducibility of ResultsChild HealthChildrenDeveloping CountriesEpidemiologyLow and Middle Income Countries

Identifiers

PMID42552080
PMCPMC13448607

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.