Literature DB >> 25623331

Prenatal and neonatal risk factors associated with children's developmental status at ages 4-7: lessons from the Jiangsu China birth defects prevention cohort.

Y Liu1, X-N Li2, X-R Sun1, Q-L Liu1, S-W Zha1, Y-H Chen2, C-T Mao2, X-Y Xu1.   

Abstract

BACKGROUND: There is limited information involving population data about the role of maternal health, fetal growth and neonatal health on children's developmental status at ages 4-7 years. Our aim was to determine the contribution of maternal, fetal and neonatal health to developmental status at ages 4-7 years.
METHODS: In this 7-year follow-up prospective cohort study, a sample of 26,803 mothers participated in the beginning. Among their children, 19,187 voluntarily completed the development screening test or the social life ability survey, which were designed for two different age groups (<6 or ≥ 6 years old, respectively). Logistic regression analysis was used to link the data with the prenatal outcome card and interview questionnaire applied to pregnant women in previous study, to the analysis of various related factors such as demographic, socio-economic, disease and menstrual history, marriage and pregnancy care. RESULT: Univariate and multivariate logistic regression analysis were used separately in two age groups [4-6 (n = 8439) and 6-7 (n = 10,748) years old] to analyse relative factors. Maternal age of 25-30 years, maternal education of high school and greater, family income and not drinking during pregnancy were associated with higher scores in development.
CONCLUSION: Both preconception and pregnancy health education and health care are the important maternal factors closely associated with children's cognitive and social competence. Public health policies for preconception care and public welfare for high-quality childcare are essential for improving children's life.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  7 years follow-up; cognitive and social competence; logistic regression analysis; population-based; preschool child

Mesh:

Year:  2015        PMID: 25623331     DOI: 10.1111/cch.12225

Source DB:  PubMed          Journal:  Child Care Health Dev        ISSN: 0305-1862            Impact factor:   2.508


  1 in total

1.  Severity of ASD symptoms and their correlation with the presence of copy number variations and exposure to first trimester ultrasound.

Authors:  Sara Jane Webb; Michelle M Garrison; Raphael Bernier; Abbi M McClintic; Bryan H King; Pierre D Mourad
Journal:  Autism Res       Date:  2016-09-01       Impact factor: 5.216

  1 in total

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