Cognitive and motor outcomes in children born low birth weight: a systematic review and meta-analysis of studies from South Asia.


Journal

BMC pediatrics
ISSN: 1471-2431
Titre abrégé: BMC Pediatr
Pays: England
ID NLM: 100967804

Informations de publication

Date de publication:
29 01 2019
Historique:
received: 05 06 2018
accepted: 17 01 2019
entrez: 31 1 2019
pubmed: 31 1 2019
medline: 23 2 2020
Statut: epublish

Résumé

South Asia contributes substantially to global low birth weight population (i.e. those with birth weight < 2500 g). Synthesized evidence is lacking on magnitude of cognitive and motor deficits in low birth weight (LBW) children compared to those with normal birth weight (NBW) (i.e. birth weight ≥ 2500 g). The meta-analysis aimed to generate this essential evidence. Literature search was performed using PubMed and Google Scholar. Original research articles from south Asia that compared cognitive and/or motor scores among LBW and NBW individuals were included. Weighted mean differences (WMD) and pooled relative risks (RR) were calculated. All analyses were done using STATA 14 software. Nineteen articles (n = 5999) were included in the analysis. Children < 10 years of age born LBW had lower cognitive (WMD -4.56; 95% CI: -6.38, - 2.74) and motor scores (WMD -4.16; 95% CI: -5.42, - 2.89) compared to children with NBW. Within LBW children, those with birth weight < 2000 g had much lower cognitive (WMD -7.23, 95% CI; - 9.20, - 5.26) and motor scores (WMD -6.45, 95% CI; - 9.64, - 3.27). In south Asia, children born LBW, especially with < 2000 g birth weight, have substantial cognitive and motor impairment compared to children with NBW. Early child development interventions should lay emphasis to children born LBW.

Sections du résumé

BACKGROUND
South Asia contributes substantially to global low birth weight population (i.e. those with birth weight < 2500 g). Synthesized evidence is lacking on magnitude of cognitive and motor deficits in low birth weight (LBW) children compared to those with normal birth weight (NBW) (i.e. birth weight ≥ 2500 g). The meta-analysis aimed to generate this essential evidence.
METHODS
Literature search was performed using PubMed and Google Scholar. Original research articles from south Asia that compared cognitive and/or motor scores among LBW and NBW individuals were included. Weighted mean differences (WMD) and pooled relative risks (RR) were calculated. All analyses were done using STATA 14 software.
RESULTS
Nineteen articles (n = 5999) were included in the analysis. Children < 10 years of age born LBW had lower cognitive (WMD -4.56; 95% CI: -6.38, - 2.74) and motor scores (WMD -4.16; 95% CI: -5.42, - 2.89) compared to children with NBW. Within LBW children, those with birth weight < 2000 g had much lower cognitive (WMD -7.23, 95% CI; - 9.20, - 5.26) and motor scores (WMD -6.45, 95% CI; - 9.64, - 3.27).
CONCLUSIONS
In south Asia, children born LBW, especially with < 2000 g birth weight, have substantial cognitive and motor impairment compared to children with NBW. Early child development interventions should lay emphasis to children born LBW.

Identifiants

pubmed: 30696415
doi: 10.1186/s12887-019-1408-8
pii: 10.1186/s12887-019-1408-8
pmc: PMC6350290
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

35

Subventions

Organisme : World Health Organization
ID : 001
Pays : International

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Auteurs

Ravi Prakash Upadhyay (RP)

Knowledge Integration and Translational Platform (KnIT) at Centre for Health Research and Development, Society for Applied Studies, New Delhi, India. ravi.upadhyay@sas.org.in.

Gitismita Naik (G)

Knowledge Integration and Translational Platform (KnIT) at Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.

Tarun Shankar Choudhary (TS)

Knowledge Integration and Translational Platform (KnIT) at Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.

Ranadip Chowdhury (R)

Knowledge Integration and Translational Platform (KnIT) at Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.

Sunita Taneja (S)

Knowledge Integration and Translational Platform (KnIT) at Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.

Nita Bhandari (N)

Knowledge Integration and Translational Platform (KnIT) at Centre for Health Research and Development, Society for Applied Studies, New Delhi, India.

Jose Carlos Martines (JC)

Centre for Intervention Science in Maternal and Child Health, Centre for International Health, University of Bergen, Bergen, Norway.

Rajiv Bahl (R)

Department of Maternal, Newborn, Child and Adolescent Health, World Health Organization, Geneva, Switzerland.

Maharaj Kishan Bhan (MK)

Indian Institute of Technology (IIT), New Delhi, India.
Knowledge Integration and Translational Platform (KnIT), Biotechnology Industry Research Assistance Council (BIRAC), New Delhi, India.

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