Evidence map›Paper›PMID 37928328›Full record

ReviewDigital health

Risk factors for developmental vulnerability: Insight from population-level surveillance using the Early Development Instrument.

Fernanda Talarico, Yang S Liu, Dan Metes, Mengzhe Wang, Dori Wearmouth, Lawrence Kiyang, Yifeng Wei, Ashley Gaskin, Andrew Greenshaw, Magdalena Janus and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
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

11 authors at 3 institutions in 1 country.

Fernanda TalaricoDepartment of Psychiatry, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0001-6114-4233
Yang S LiuDepartment of Psychiatry, University of Alberta, Edmonton, Canada.ORCID https://orcid.org/0000-0003-0406-8056
Dan MetesMinistry of Health, Government of Alberta, Edmonton, Canada.
Mengzhe WangMinistry of Health, Government of Alberta, Edmonton, Canada.
Dori WearmouthMinistry of Health, Government of Alberta, Edmonton, Canada.
Lawrence KiyangMinistry of Health, Government of Alberta, Edmonton, Canada.
Yifeng WeiDepartment of Psychiatry, University of Alberta, Edmonton, Canada.
Ashley GaskinOfford Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada.
Andrew GreenshawDepartment of Psychiatry, University of Alberta, Edmonton, Canada.
Magdalena JanusOfford Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada.
Bo CaoDepartment of Psychiatry, University of Alberta, Edmonton, Canada.
University of Alberta · CAMinistry of Health · CAMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Population-level studies may elucidate the most promising intervention targets to prevent negative outcomes of developmental vulnerability in children. This study aims to bridge the current literature gap on identifying population-level developmental vulnerability risk factors using combined social and biological/health information. Methods: This study assessed developmental vulnerability among kindergarten children using the 2016 Early Development Instrument (EDI) and identified risk factors of developmental vulnerability using EDI data cross-linked to a population-wide administrative health dataset. A total number of 23,494 children aged 5-6 were included (48% female). Prenatal, neonatal, and early childhood risk factors for developmental vulnerability were investigated, highlighting the most important ones contributing to early development. Results: The main risk factors for developmental vulnerability were children with a history of mental health diagnosis (risk ratio  = 1.46), biological sex-male (risk ratio =  1.51), and poor socioeconomic status (risk ratio =  1.58). Conclusion: Our study encompasses both social and health information in a populational-level representative sample of Alberta, Canada. The results confirm evidence established in other geographic regions and jurisdictions and demonstrate the association between perinatal risk factors and developmental vulnerability. Based on these results, we argue that the health system should adopt a multilevel prevention and intervention strategy, targeting individual, family, and community together.

Indexed as

Early child developmentEarly Development Instrumentrisk factorsvulnerability

Identifiers

PMID37928328
PMCPMC10624014
OpenAlexW4388307258

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.