Evidence map›Paper›PMID 39500616›Full record

ArticleBMJ paediatrics open2024

What factors are associated with early childhood development in Thailand? A cross-sectional analysis using the 2022 Multiple Indicator Cluster Survey.

Thitikorn Topothai, Napat Phisanbut, Chompoonut Topothai, Rapeepong Suphanchaimat, Falk Müller-Riemenschneider, Nisachol Cetthakrikul, Viroj Tangcharoensathien

Abstract read
In one paragraph

Article in BMJ paediatrics open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

7 authors.

Thitikorn TopothaiNational University Singapore Saw Swee Hock School of Public Health, Singapore e0919694@u.nus.edu.ORCID 0000-0003-0355-4386
Napat PhisanbutUNICEF Thailand, Bangkok, Thailand.
Chompoonut TopothaiNational University Singapore Saw Swee Hock School of Public Health, Singapore.
Rapeepong SuphanchaimatInternational Health Policy Program, Nonthaburi, Nonthaburi, Thailand.
Falk Müller-RiemenschneiderNational University Singapore Saw Swee Hock School of Public Health, Singapore.
Nisachol CetthakrikulInternational Health Policy Program, Nonthaburi, Nonthaburi, Thailand.
Viroj TangcharoensathienInternational Health Policy Program, Nonthaburi, Nonthaburi, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly childhood development is essential for lifelong health and well-being. This study aims to assess the proportion of children aged 24-59 months in Thailand who are developmentally on track using the Early Childhood Development Index 2030 (ECDI2030) and to explore associations with household socioeconomic characteristics and environments.

methodsA cross-sectional analysis was conducted using data from the 2022 Multiple Indicator Cluster Survey by the Thailand National Statistical Office. The developmental progress of 6557 children was evaluated across health, learning and psychosocial domains using ECDI2030 criteria. Multivariable logistic regression was used to assess associations between developmental status and household and participant characteristics.

resultsThe study found that 81.3% of children were developmentally on track. Factors positively associated with being on track included being female (adjusted OR (AOR)=1.49), higher maternal education (AOR=2.02 for above secondary education), more books at home (AOR=1.59 for 3-9 books; AOR=2.40 for 10+ books) and increased screen time (AOR=1.68). Living in the Northern (AOR=0.45) and Northeastern (AOR=0.56) regions decreased the likelihood of being on track.

conclusionAround 20% of children did not meet ECDI2030 milestones, highlighting the need for targeted policy interventions. Gender, region, maternal education, access to books and screen time were significant factors for developmental outcomes. Policies should prioritise support for parents, nurturing care and educational resources, particularly for socioeconomically disadvantaged groups.

Indexed as

Child DevelopmentChild, PreschoolCross-Sectional StudiesFemaleHumansMaleSocioeconomic FactorsSurveys and QuestionnairesThailandChild HealthDeveloping CountriesGrowthHealth Policy

Identifiers

PMID39500616
PMCPMC11552567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.