Please use this identifier to cite or link to this item: https://swslhd.intersearch.com.au/swslhdjspui/handle/1/13020
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dc.contributor.authorLin, P. I.-
dc.contributor.authorJohn, J. R.-
dc.contributor.authorMasi, A.-
dc.contributor.authorOng, L. K.-
dc.contributor.authorMathew, N. E.-
dc.contributor.authorMoni, M. A.-
dc.contributor.authorEapen, V.-
dc.contributor.authorWalker, A. K.-
dc.date.accessioned2024-09-02T05:57:22Z-
dc.date.available2024-09-02T05:57:22Z-
dc.date.issued2024-
dc.identifier.issn00223956 (ISSN)-
dc.identifier.urihttps://swslhd.intersearch.com.au/swslhdjspui/handle/1/13020-
dc.description.abstractBackground: Autistic children are prone to experience heightened levels of distress and physiological reactivity to a range of sensory, social, and emotional stimuli. In line with this, multiple studies have demonstrated that autistic children have higher acute cortisol stress responses to adverse or threatening stimuli and altered cortisol awakening responses. However, few studies have examined whether this sensitivity may relate to heightened levels of chronic stress and persistently elevated hypothalamic-pituitary-adrenal (HPA) axis activity. The measurement of cortisol accumulation in hair is considered a non-invasive biomarker of chronic stress and has been associated with several childhood diseases. Here, we investigated whether hair cortisol concentration in a large sample of autistic children differed from non-autistic children, and after accounting for a range of child, parental and family-level characteristics. Methods: Hair cortisol concentration was measured in 307 autistic children and 282 non-autistic controls aged between 2 and 17 years recruited from four Australian states who participated in providing hair samples and demographic data to the Australian Autism Biobank. Independent samples t-test or one-way analysis of variance (ANOVA) were conducted to determine significant differences in the mean hair cortisol concentration (pg/mg) between potential covariates. Primary analysis included multivariable regression modelling of the collapsed sample to identify variables that were significantly associated with hair cortisol concentration after controlling for covariates. We also accounted for the potential interaction of multiple biological (e.g., age, sex, BMI) and psychosocial characteristics at the level of the child, the mother and the father, and the family unit. Results: Our findings suggest that the diagnosis of autism was not a significant predictor of chronic stress, as measured by hair cortisol concentration. However, findings of the multivariable regression analysis showed that key factors such as area of residence (Queensland vs Victorian state of residence) and decrease in child's age were significantly associated with higher hair cortisol concentration whereas lower family income was significantly associated with higher hair cortisol concentration. Conclusion: To our knowledge, this is the first study to show that socioeconomic factors such as family annual income affect hair cortisol status in autistic children, indicating that the psychosocial environment may be a potential mediator for chronic stress in autistic children just as it has been demonstrated in non-autistic children. � 2024-
dc.publisherElsevier Ltd-
dc.subjectAge Autism Chronic stress Family income Hair cortisol Residence Adolescent Australia Autistic Disorder Biomarkers Child Child, Preschool Female Hair Humans Hydrocortisone Male Stress, Psychological biological marker Article controlled study hair analysis hair level human major clinical study chemistry diagnosis mental stress metabolism preschool child-
dc.titleThe relationship between hair cortisol concentration and autism diagnosis-
dc.typeJournal Article-
dc.description.affiliatesDiscipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, MO, United States Ingham Institute of Applied Medical Research, Liverpool, NSW, Australia School of Health and Medical Sciences & Centre for Health Research, University of Southern Queensland, Toowoomba, 4350, QLD, Australia School of Pharmacy, Monash University Malaysia, Selangor, Malaysia School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, NSW, Australia Heart and Stroke Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia Laboratory of ImmunoPsychiatry, Neuroscience Research Australia, Randwick, NSW, Australia School of Health and Rehabilitation Sciences, The University of Queensland, QLD, Australia Academic Unit of Child and Adolescent Psychiatry, South Western Sydney Local Health District (AUCS), Liverpool, NSW, Australia Drug Discovery Biology Theme, Monash Institute of Pharmaceutical Sciences, Parkville, VIC, Australia-
dc.identifier.doi10.1016/j.jpsychires.2024.05.052-
dc.type.studyortrialArticle-
dc.identifier.journaltitleJournal of Psychiatric Research-
Appears in Collections:South Western Sydney Local Health District

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