Author Interviews, Autism, JAMA, Pediatrics, UCSD / 08.02.2023
Toddlers Who Lack Attention to Mother’s Speech More Likely to Be Diagnosed with Autism
MedicalResearch.com Interview with:
[caption id="attachment_59999" align="alignleft" width="150"]
Dr. Pierce[/caption]
Karen Pierce, Ph.D.
Professor, Department of Neurosciences, UCSD
Co-Director, Autism Center of Excellence, UCSD
MedicalResearch.com: What is the background for this study?
Response: The mean age of ASD diagnosis and eventual treatment remains at ~52 months in the United States1 - years beyond the disorder’s prenatal origins2, and beyond the age when it can be reliably diagnosed in many cases3.
Currently the only way to determine if a child has autism spectrum disorder (ASD) is to receive a developmental evaluation from an experienced clinician (usually a licensed clinical psychologist). There are often long waiting lists, and only a small number of clinicians have the experience required to make early-age (i.e., between 12-36 months) diagnoses of ASD. Thus, there are many places in the country as well as world wide wherein children wait months or years to receive a formal diagnosis due to a lack of available expertise. Moreover, diagnostic evaluations are expensive and usually cost the parent and/or insurance approximately ~$2,000 or more per evaluation. Finally, clinical evaluations usually take between 2-3 hours to complete and result in fatigue for both the parent and toddler.
Eye-tracking, which generates biologically-relevant, objective, and quantifiable metrics of both visual and auditory preference profiles in babies and toddlers in just minutes, is a technology that can dramatically change how ASD is diagnosed.
Dr. Pierce[/caption]
Karen Pierce, Ph.D.
Professor, Department of Neurosciences, UCSD
Co-Director, Autism Center of Excellence, UCSD
MedicalResearch.com: What is the background for this study?
Response: The mean age of ASD diagnosis and eventual treatment remains at ~52 months in the United States1 - years beyond the disorder’s prenatal origins2, and beyond the age when it can be reliably diagnosed in many cases3.
Currently the only way to determine if a child has autism spectrum disorder (ASD) is to receive a developmental evaluation from an experienced clinician (usually a licensed clinical psychologist). There are often long waiting lists, and only a small number of clinicians have the experience required to make early-age (i.e., between 12-36 months) diagnoses of ASD. Thus, there are many places in the country as well as world wide wherein children wait months or years to receive a formal diagnosis due to a lack of available expertise. Moreover, diagnostic evaluations are expensive and usually cost the parent and/or insurance approximately ~$2,000 or more per evaluation. Finally, clinical evaluations usually take between 2-3 hours to complete and result in fatigue for both the parent and toddler.
Eye-tracking, which generates biologically-relevant, objective, and quantifiable metrics of both visual and auditory preference profiles in babies and toddlers in just minutes, is a technology that can dramatically change how ASD is diagnosed.
Dr. Ratnasiri[/caption]
Anura Ratnasiri PhD
Senior Research Scientist
(Epidemiology and Biostatistics) Benefits Division
Department of Health Care Services
Sacramento, CA 95899-7417
MedicalResearch.com: What is the background for this study?
Response: Infant mortality rate (IMR) is a widely-reported indicator of population health and is used as a standardized measurement of deaths in the first year of life per thousand live births. While IMR has been steadily declining in the United States, it remains relatively high compared with other developed countries.
Even though significant improvements have been made in the quality and access to neonatal and infant care during the past decade, large educational, socioeconomic, racial, ethnic, geographic and behavioral disparities persist, and appear to be responsible for significant differences in IMR among different subgroups. Certain maternal and infant characteristics have important associations with IMR, and this study attempted to quantify major maternal and infant predictors, and trace associated mortality trends during the study period.
There were no recent studies on infant mortality using a large data set such as California State. Moreover, gestational age based on obstetric estimates from fetal ultrasound, prepregnancy obesity, and smoking during pregnancy were not available in prior population-based studies in California.



