Early life risk factors of motor, cognitive and language development: a pooled analysis of studies from low/middle-income countries

Sania, Ayesha and Sudfeld, Christopher R. and Danaei, Goodarz and Fink, Günther and McCoy, Dana C. and Zhu, Zhaozhong and Fawzi, Mary C. Smith and Akman, Mehmet and Arifeen, Shams E. and Barros, Aluisio J. D. and Bellinger, David and Black, Maureen M. and Bogale, Alemtsehay and Braun, Joseph M. and van den Broek, Nynke and Carrara, Verena and Duazo, Paulita and Duggan, Christopher and Fernald, Lia C. H. and Gladstone, Melissa and Hamadani, Jena and Handal, Alexis J. and Harlow, Siobán and Hidrobo, Melissa and Kuzawa, Chris and Kvestad, Ingrid and Locks, Lindsey and Manji, Karim and Masanja, Honorati and Matijasevich, Alicia and McDonald, Christine and McGready, Rose and Rizvi, Arjumand and Santos, Darci and Santos, Leticia and Save, Dilsad and Shapiro, Roger and Stoecker, Barbara and Strand, Tor A. and Taneja, Sunita and Tellez-Rojo, Martha-Maria and Tofail, Fahmida and Yousafzai, Aisha K. and Ezzati, Majid and Fawzi, Wafaie. (2019) Early life risk factors of motor, cognitive and language development: a pooled analysis of studies from low/middle-income countries. BMJ Open, 9 (10). e026449.

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To determine the magnitude of relationships of early life factors with child development in low/middle-income countries (LMICs).; Meta-analyses of standardised mean differences (SMDs) estimated from published and unpublished data.; We searched Medline, bibliographies of key articles and reviews, and grey literature to identify studies from LMICs that collected data on early life exposures and child development. The most recent search was done on 4 November 2014. We then invited the first authors of the publications and investigators of unpublished studies to participate in the study.; Studies that assessed at least one domain of child development in at least 100 children under 7 years of age and collected at least one early life factor of interest were included in the study.; Linear regression models were used to assess SMDs in child development by parental and child factors within each study. We then produced pooled estimates across studies using random effects meta-analyses.; We retrieved data from 21 studies including 20 882 children across 13 LMICs, to assess the associations of exposure to 14 major risk factors with child development. Children of mothers with secondary schooling had 0.14 SD (95% CI 0.05 to 0.25) higher cognitive scores compared with children whose mothers had primary education. Preterm birth was associated with 0.14 SD (-0.24 to -0.05) and 0.23 SD (-0.42 to -0.03) reductions in cognitive and motor scores, respectively. Maternal short stature, anaemia in infancy and lack of access to clean water and sanitation had significant negative associations with cognitive and motor development with effects ranging from -0.18 to -0.10 SDs.; Differential parental, environmental and nutritional factors contribute to disparities in child development across LMICs. Targeting these factors from prepregnancy through childhood may improve health and development of children.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Household Economics and Health Systems Research > Epidemiology and Household Economics (Fink)
06 Faculty of Business and Economics > Departement Wirtschaftswissenschaften > Professuren Wirtschaftswissenschaften > Epidemiology and Household Economics (Fink)
UniBasel Contributors:Fink, Günther
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:BMJ Publishing Group
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:07 Apr 2020 12:23
Deposited On:07 Apr 2020 12:23

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