Literature DB >> 36066648

Prevalence of autism spectrum disorder diagnosis by birth weight, gestational age, and size for gestational age: a systematic review, meta-analysis, and meta-regression.

Bao-Qiang Guo1, Hong-Bin Li2, De-Sheng Zhai2, Li-Qiang Yang2.   

Abstract

We aimed to comprehensively pool the prevalence of autism spectrum disorder (ASD) diagnosis by birth weight, gestational age, and size for gestational age. PubMed, EMBASE, Web of Science, Ovid PsycINFO, and Cochrane Library were searched up to December 22, 2021. We pooled data using the random-effects model and quantified heterogeneity using the I2 statistic. Of 66 643 records initially identified, 75 studies were included in the meta-analysis. The pooled prevalence estimates of ASD diagnosis are as follows: very-low-birth weight, 3.1% (912 ASD/66,445 individuals); low-birth weight, 2.3% (5672 ASD/593,927 individuals); normal-birth weight, 0.5% (17,361 ASD/2,378,933 individuals); high-birth weight, 0.6% (4505 ASD/430,699 individuals); very preterm, 2.8% (2113 ASD/128,513 individuals); preterm, 2.1% (19 672 ASD/1 725 244 individuals); term, 0.6% (113,261 ASD/15,297,259 individuals); postterm, 0.6% (9419 ASD/1,138,215 individuals); small-for-gestational-age, 1.9% (6314 ASD/796,550 individuals); appropriate-for-gestational-age, 0.7% (21,026 ASD/5,936,704 individuals); and large-for-gestational-age, 0.6% (2607 ASD/635,666 individuals). Compared with the reference prevalence (those in normal-birth weight, term, and appropriate-for-gestational-age individuals), the prevalence estimates of ASD diagnosis in very-low-birth weight, low-birth weight, very preterm, preterm, and small-for-gestational-age individuals increased significantly, while those in high-birth weight, postterm, and large-for-gestational-age individuals did not change significantly. There were geographical differences in the prevalence estimates. This meta-analysis provided reliable estimates of the prevalence of ASD diagnosis by birth weight, gestational age, and size for gestational age, and suggested that low-birth weight (especially very-low-birth weight), preterm (especially very preterm), and small-for-gestational-age births, rather than high-birth weight, postterm, and large-for-gestational-age births, were associated with increased risk of ASD diagnosis. However, in view of marked between-study heterogeneity in most conditions, unknown effects of certain important confounders associated with ASD due to limited information in original articles, and included studies from a relatively small number of countries, the findings of this study should be interpreted with caution.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Entities:  

Keywords:  Autism spectrum disorder; Birth weight; Gestational age; Prevalence; Size for gestational age

Year:  2022        PMID: 36066648     DOI: 10.1007/s00787-022-02078-4

Source DB:  PubMed          Journal:  Eur Child Adolesc Psychiatry        ISSN: 1018-8827            Impact factor:   5.349


  69 in total

Review 1.  The Changing Epidemiology of Autism Spectrum Disorders.

Authors:  Kristen Lyall; Lisa Croen; Julie Daniels; M Daniele Fallin; Christine Ladd-Acosta; Brian K Lee; Bo Y Park; Nathaniel W Snyder; Diana Schendel; Heather Volk; Gayle C Windham; Craig Newschaffer
Journal:  Annu Rev Public Health       Date:  2016-12-21       Impact factor: 21.981

Review 2.  Meta-analysis: Pharmacologic Treatment of Restricted and Repetitive Behaviors in Autism Spectrum Disorders.

Authors:  Melissa S Zhou; Madeeha Nasir; Luis C Farhat; Minjee Kook; Bekir B Artukoglu; Michael H Bloch
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2020-05-06       Impact factor: 8.829

3.  Prenatal and infant exposure to thimerosal from vaccines and immunoglobulins and risk of autism.

Authors:  Cristofer S Price; William W Thompson; Barbara Goodson; Eric S Weintraub; Lisa A Croen; Virginia L Hinrichsen; Michael Marcy; Anne Robertson; Eileen Eriksen; Edwin Lewis; Pilar Bernal; David Shay; Robert L Davis; Frank DeStefano
Journal:  Pediatrics       Date:  2010-09-13       Impact factor: 7.124

Review 4.  The epidemiology and global burden of autism spectrum disorders.

Authors:  A J Baxter; T S Brugha; H E Erskine; R W Scheurer; T Vos; J G Scott
Journal:  Psychol Med       Date:  2014-08-11       Impact factor: 7.723

Review 5.  Autism spectrum disorder and pupillometry: A systematic review and meta-analysis.

Authors:  Lyssa de Vries; Iris Fouquaet; Bart Boets; Gunnar Naulaers; Jean Steyaert
Journal:  Neurosci Biobehav Rev       Date:  2020-10-22       Impact factor: 8.989

6.  Prenatal and perinatal risk and protective factors for psychosis: a systematic review and meta-analysis.

Authors:  Cathy Davies; Giulia Segre; Andrés Estradé; Joaquim Radua; Andrea De Micheli; Umberto Provenzani; Dominic Oliver; Gonzalo Salazar de Pablo; Valentina Ramella-Cravaro; Maria Besozzi; Paola Dazzan; Maddalena Miele; Gianluigi Caputo; Cecilia Spallarossa; Georgia Crossland; Athif Ilyas; Giulia Spada; Pierluigi Politi; Robin M Murray; Philip McGuire; Paolo Fusar-Poli
Journal:  Lancet Psychiatry       Date:  2020-03-24       Impact factor: 27.083

Review 7.  Prevalence of autism spectrum disorder phenomenology in genetic disorders: a systematic review and meta-analysis.

Authors:  Caroline Richards; Christopher Jones; Laura Groves; Jo Moss; Chris Oliver
Journal:  Lancet Psychiatry       Date:  2015-09-01       Impact factor: 27.083

8.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.

Authors:  Larissa Shamseer; David Moher; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  BMJ       Date:  2015-01-02

9.  Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016.

Authors:  Matthew J Maenner; Kelly A Shaw; Jon Baio; Anita Washington; Mary Patrick; Monica DiRienzo; Deborah L Christensen; Lisa D Wiggins; Sydney Pettygrove; Jennifer G Andrews; Maya Lopez; Allison Hudson; Thaer Baroud; Yvette Schwenk; Tiffany White; Cordelia Robinson Rosenberg; Li-Ching Lee; Rebecca A Harrington; Margaret Huston; Amy Hewitt; Amy Esler; Jennifer Hall-Lande; Jenny N Poynter; Libby Hallas-Muchow; John N Constantino; Robert T Fitzgerald; Walter Zahorodny; Josephine Shenouda; Julie L Daniels; Zachary Warren; Alison Vehorn; Angelica Salinas; Maureen S Durkin; Patricia M Dietz
Journal:  MMWR Surveill Summ       Date:  2020-03-27

Review 10.  Autism spectrum disorder.

Authors:  Catherine Lord; Traolach S Brugha; Tony Charman; James Cusack; Guillaume Dumas; Thomas Frazier; Emily J H Jones; Rebecca M Jones; Andrew Pickles; Matthew W State; Julie Lounds Taylor; Jeremy Veenstra-VanderWeele
Journal:  Nat Rev Dis Primers       Date:  2020-01-16       Impact factor: 52.329

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