Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Dec 20:15:1467821.
doi: 10.3389/fpsyt.2024.1467821. eCollection 2024.

Unveiling the influences of prenatal and maternal factors on the journey of an autistic child

Affiliations

Unveiling the influences of prenatal and maternal factors on the journey of an autistic child

Ahmed Abdelkader et al. Front Psychiatry. .

Abstract

Background: Autism Spectrum Disorder (ASD) is a complex lifelong neurodevelopmental disorder with a high and increasing global prevalence. Although the precise causes are unknown, both genetic and environmental factors, including maternal ones during pregnancy, significantly influence its development. Therefore, this study endeavors to explore the potential causes of autism, including maternal and paternal prenatal risk factors, as well as antenatal and natal maternal risk factors, and their associations with the severity of ASD in mothers of children with ASD, from February to May 2024.

Methods: At an autism center in Saudi Arabia, this cross-sectional study enrolled 168 mothers of children diagnosed with ASD. The web-based survey employs a structured questionnaire to gather comprehensive prenatal, natal, and demographic data. The collected data was coded and analyzed using suitable tests.

Results: The majority of the surveyed 168 mothers with autistic children reported having autism spectrum disorder (43.8%), moderate autism (31.9%), mild autism (15.6%), and severe autism (8.8%). Most autistic children had a history of one or both maternal and/or paternal antenatal exposures: 79.2% had soft drink consumption, 35.1% smoked, 24.4% had chronic physical diseases, and 20.8% had psychological disease. Regarding maternal antenatal conditions, 37% had a history of recurrent infection, 29.2% had anemia, 15.5% had a history of threatened abortion or bleeding, as well as exposure to air pollution, and 22 (13.1%) had a history of gestational diabetes. Significant (p <0.05) predictors of severe autism were gestational diabetes aOR 4.553 (95% CI: [1.518, 14.25], birth oxygen desaturation 4.142 (95% CI: [1.437, 12.45]. Furthermore, the likelihood of classifying a child's ASD as severe increases by 7.1% with each year of age1.071 (95% CI: [1.002, 1.15].

Conclusion: ASD is a prevalent health condition that has many interrelationships with prenatal, maternal (medical, environmental, and psychosocial factors), and natal conditions. Prospective studies are essential for understanding and addressing these ASD risk factors.

Keywords: Saudi Arabia; The LIVES Daily Hassles; antenatal; autism spectrum disorder; maternal lifestyle factors; natal; pregnancy; prenatal.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Similar articles

Cited by

References

    1. Muglia LJ, Benhalima K, Tong S, Ozanne S. Maternal factors during pregnancy influencing maternal, fetal, and childhood outcomes. BMC Med. (2022) 20(1):418. doi: 10.1186/s12916-022-02632-6 - DOI - PMC - PubMed
    1. Zhong C, Tessing J, Lee BK, Lyall K. Maternal dietary factors and the risk of autism spectrum disorders: a systematic review of existing evidence. Autism Research. (2020) 13(10):1634–1658. doi: 10.1002/aur.2402. - DOI - PMC - PubMed
    1. Centers for Disease Control and Prevention Autism spectrum disorder (ASD) data & statistics (2016). Available online at: https://www.cdc.gov/ncbddd/autism/data.html (Accessed April 11, 2017).
    1. Hyman SL, Levy SE, Myers SM. Identification, evaluation, and management of children with autism spectrum disorder. Pediatrics. (2020) 145:e20193447. doi: 10.1542/peds.2019-3447 - DOI - PubMed
    1. Gao Y, Yu Y, Xiao J, Luo J, Zhang Y, Tian Y, et al. . Association of grandparental and parental age at childbirth with autism spectrum disorder in children. JAMA network Open. (2020) 3:e202868. doi: 10.1001/jamanetworkopen.2020.2868 - DOI - PMC - PubMed

LinkOut - more resources