Literature DB >> 26874928

Identification of neurodevelopmental trajectories in infancy and of risk factors affecting deviant development: a longitudinal birth cohort study.

Tomoko Nishimura1, Nori Takei2, Kenji J Tsuchiya3, Ryosuke Asano3, Norio Mori4.   

Abstract

BACKGROUND: We investigate patterns of neurodevelopmental trajectories in infants, using a representative population, and identify risk factors that predict delayed growth.
METHODS: Participating infants (n = 952; 82.8% of the total sample) were assessed by Mullen Scales of Early Learning at seven time points, from 1 month to 24 months of age. Mothers were recruited in early pregnancy and data on demographic characteristics were collected during pregnancy. Trajectory patterns were investigated using latent class growth analysis, and risk factors for the derived trajectory classes were investigated by multinomial logistic regression.
RESULTS: Participants were found to be a fairly representative sample with respect to their demographic characteristics. Five classes of high normal (11.5%), normal (49.2%), low normal (21.2%), delayed (14.1%), and markedly delayed (4.0%) were identified. The markedly delayed class was characterized by overall delay from the early developmental stages; notably, such delay first became salient in motor domains and was then exceeded by language domains, especially receptive language. This class was predicted by male sex (odds ratio 4.0; 95% confidence interval 1.7-9.1), small for gestational age (2.8; 1.0-7.5), low placenta-to-birthweight ratio (2.8; 1.2-6.4) and low maternal education (4.7; 1.2-19.0). The delayed class was characterized by gradual downward deviation after the first birthday, and was predicted by male sex (2.5; 1.5-4.2), preterm birth (4.4; 1.6-12.6) and advanced paternal age (1.9; 1.0-3.5).
CONCLUSIONS: Our results demonstrate that about 1 out of 5 infants exhibits delayed neurodevelopment. Infants with distinct patterns of delayed trajectories and varying risk factors are considered to have different pathophysiological mechanisms.
© The Author 2016; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.

Entities:  

Keywords:  Neurodevelopment; birth cohort; delayed growth; risk factor; small placenta; trajectory

Mesh:

Year:  2016        PMID: 26874928     DOI: 10.1093/ije/dyv363

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  15 in total

1.  Gestational Age and Kindergarten School Readiness in a National Sample of Preterm Infants.

Authors:  Prachi E Shah; Niko Kaciroti; Blair Richards; Julie C Lumeng
Journal:  J Pediatr       Date:  2016-07-25       Impact factor: 4.406

Review 2.  Machine learning for understanding and predicting neurodevelopmental outcomes in premature infants: a systematic review.

Authors:  Stephanie Baker; Yogavijayan Kandasamy
Journal:  Pediatr Res       Date:  2022-05-31       Impact factor: 3.953

3.  Placental morphology in association with autism-related traits in the EARLI study.

Authors:  Carolyn M Salafia; Kristen Lyall; Caichen Zhong; Ruchit Shah; Juliette Rando; Bo Park; Theresa Girardi; Cheryl K Walker; Lisa A Croen; M Daniele Fallin; Irva Hertz-Picciotto; Brian K Lee; Rebecca J Schmidt; Heather E Volk; Craig J Newschaffer
Journal:  BMC Pregnancy Childbirth       Date:  2022-06-28       Impact factor: 3.105

4.  Clinical, Cognitive, and Neuroimaging Evidence of a Neurodevelopmental Continuum in Offspring of Probands With Schizophrenia and Bipolar Disorder.

Authors:  Gisela Sugranyes; Elena de la Serna; Roger Borras; Vanessa Sanchez-Gistau; Jose C Pariente; Soledad Romero; Inmaculada Baeza; Covadonga M Díaz-Caneja; Elisa Rodriguez-Toscano; Carmen Moreno; Miguel Bernardo; Dolores Moreno; Eduard Vieta; Josefina Castro-Fornieles
Journal:  Schizophr Bull       Date:  2017-10-21       Impact factor: 9.306

5.  Trajectories of cognitive development in toddlers with language delays.

Authors:  Laura Henry; Cristan Farmer; Stacy S Manwaring; Lauren Swineford; Audrey Thurm
Journal:  Res Dev Disabil       Date:  2018-04-24

6.  Association of late-onset postpartum depression of mothers with expressive language development during infancy and early childhood: the HBC study.

Authors:  Sona-Sanae Aoyagi; Nori Takei; Tomoko Nishimura; Yoko Nomura; Kenji J Tsuchiya
Journal:  PeerJ       Date:  2019-03-06       Impact factor: 2.984

7.  Adaptation of the Mullen Scales of Early Learning for use among infants aged 5- to 24-months in rural Gambia.

Authors:  Bosiljka Milosavljevic; Perijne Vellekoop; Helen Maris; Drew Halliday; Saikou Drammeh; Lamin Sanyang; Momodou K Darboe; Clare Elwell; Sophie E Moore; Sarah Lloyd-Fox
Journal:  Dev Sci       Date:  2019-03-10

Review 8.  Advanced paternal age: effects on sperm parameters, assisted reproduction outcomes and offspring health.

Authors:  Iman Halvaei; Julia Litzky; Navid Esfandiari
Journal:  Reprod Biol Endocrinol       Date:  2020-11-13       Impact factor: 5.211

9.  Early detection of Australian Aboriginal and Torres Strait Islander infants at high risk of adverse neurodevelopmental outcomes at 12 months corrected age: LEAP-CP prospective cohort study protocol.

Authors:  Carly R Luke; Katherine Benfer; Leeann Mick-Ramsamy; Robert S Ware; Natasha Reid; Arend F Bos; Margot Bosanquet; Roslyn N Boyd
Journal:  BMJ Open       Date:  2022-01-07       Impact factor: 2.692

10.  Child development in the context of biological and psychosocial hazards among poor families in Bangladesh.

Authors:  Sarah K G Jensen; Fahmida Tofail; Rashidul Haque; William A Petri; Charles A Nelson
Journal:  PLoS One       Date:  2019-05-06       Impact factor: 3.240

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