Abstract
Objective: Predictive testing for familial disorders can guide healthcare and reproductive decisions. Familial disorders with onset in childhood (e.g., autism spectrum disorder [ASD]) are promising targets for presymptomatic prediction; however, little is known about parent perceptions of risk to their children in the presymptomatic period. The current study examined risk perceptions in parents of infants at high familial risk for ASD enrolled in a longitudinal study of brain and behavior development. Methods: Semistructured interviews were conducted with 37 parents of high-risk infants during the presymptomatic window (3-15 months) that precedes an ASD diagnosis. Infants were identified as high familial risk due to having an older sibling with ASD. Parent interview responses were coded and interpreted to distill emerging themes. Results: The majority of parents were aware of the increased risk of ASD for their infants, and risk perceptions were influenced by comparisons to their older child with ASD. Parents reported a variety of negative emotions in response to perceived risk, including worry, fear, and sadness, and described impacts of perceived risk on their behavior: increased vigilance to emerging symptoms, altered reproductive and healthcare decisions, and seeking ongoing assessment through research. Conclusions: Parents of children at high familial risk for childhood-onset disorders like ASD face a period of challenging uncertainty during early development. In anticipation of a future in which presymptomatic testing for ASD is made available, it is important to understand how parents react to and cope with the elevated - but still highly uncertain - risk conveyed by family history.
Original language | English (US) |
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Pages (from-to) | 121-130 |
Number of pages | 10 |
Journal | Journal of pediatric psychology |
Volume | 45 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1 2020 |
Bibliographical note
Funding Information:This work was supported by a National Institutes of Health Autism Center of Excellence grant (National Institute of Mental Health and Eunice Kennedy Shriver National Institute of Child Health and Human Development grant number HD055741 to J.P.I.); Autism Speaks (grant number 6020); and the Simons Foundation (grant number 140209). Further support was provided by the National Institute of Mental Health of the National Institutes of Health (grant number F32MH118689 to K.E.M).
Funding Information:
1University of Washington Autism Center, Department of Speech & Hearing Sciences, 2University of North Carolina at Chapel Hill, TEACCH Autism Program, Department of Psychiatry, 3Seattle Children’s Hospital, Treuman Katz Center for Pediatric Bioethics, 4Department of Radiology, University of Washington, 5Children’s Hospital of Philadelphia, Center for Autism Research, 6University of Alberta, Faculty of Rehabilitation Medicine, 7Department of Psychiatry, Washington University School of Medicine in Saint Louis, 8Department of Psychiatry, University of North Carolina at Chapel Hill, and 9Research Triangle Institute, Center for Newborn Screening, Ethics, and Disability Studies All correspondence concerning this article should be addressed to Katherine E. MacDuffie, PhD, University of Washington Autism Center, 1701 NE Columbia Rd, Box 357920, Seattle, WA 98195, USA. E-mail: [email protected] *co-senior authors. **The Infant Brain Imaging Study (IBIS) Network is an NIH funded Autism Center of Excellence project and consists of a consortium of 8 universities in the U.S. and Canada. Clinical Sites: University of North Carolina: J. Piven (IBIS Network PI), H.C. Hazlett, C. Chappell; University of Washington: S. Dager, A. Estes, D. Shaw; Washington University: K. Botteron, R. McKinstry, J. Constantino, J. Pruett; Children’s Hospital of Philadelphia: R. Schultz, J. Pandey, S. Paterson; University of Alberta: L. Zwaigenbaum; University of Minnesota: J. Ellison, J. Wolff; Data Coordinating Center: Montreal Neurological Institute: A.C. Evans, D.L. Collins, G.B. Pike, V. Fonov, P. Kostopoulos, S. Das, L. MacIntyre; Image Processing Core: University of Utah: G. Gerig; University of North Carolina: M. Styner; Statistical Analysis Core: University of North Carolina: H. Gu.
Publisher Copyright:
© 2019 The Author(s).
Keywords
- autism spectrum
- ethical issues
- parents
- qualitative methods