Summary: According to research reports, girls and boys show similar levels of anxiety for ASD and identify several perspectives that contribute to an increase in sexuality to diagnose autism. Research can help identify girls on the autism spectrum early.
A source: University of Minnesota
Published Biological psychiatryA multidisciplinary study led by the University of Minnesota found that an equal number of girls and boys were at risk for autism spectrum disorder (ASD), while correcting large gender differences in current diagnoses.
“Ordinary wisdom suggests that boys are more likely to suffer from ASD than girls,” says the study’s lead author Casey BurroughsPh.D., LP, assistant professor at the University of Minnesota Medical School and psychologist with M Health Fairview.
“Our research shows that girls and boys show the same level of anxiety for ASD and identify some of the negative factors that contribute to increased sexual activity. We hope that this study will help women and girls who are struggling socially without knowing why. ”
Use the information obtained Research in the description of the infant’s brainThe study used a less objective model that followed a group of children who were more likely to develop ASD (infant siblings of autistic children) between six months and 60 months of age.
The study found that the same number of girls were found to have ASD-related concerns when boys were screened early and sexual independence was corrected on diagnostic tools. This is in stark contrast to the current 4 to 1 sex ratio when performing standard clinical referral procedures.
“We know the screening processes and diagnostic tools for ASD, which are often missed by many girls who are diagnosed with ASD,” the doctor said. Burroughs, he is also a member The Masonic Institute of the Emerging Brain.
“This prevents many girls from receiving early intervention services at a time that has the greatest impact on their early childhood. Most ASD studies focus on children after diagnosis, and there is no information on symptoms in children who have passed as a result of general screening practices.
The study looked at whether girls and boys had similar symptoms and found subtle differences in the structure of the main symptoms of ASD. After correcting these differences, the subgroup analysis identified a group of “high anxiety” in which 1 to 1 had sexual intercourse between a man and a woman.
“This approach – providing an objective definition, ensuring that our instruments are as measurable as we think – can help address the current disproportions in autism detection,” he says. Jed AlisonCandidate of Philological Sciences, Associate Professor of the Institute of Child Development and Medical School and co-author on paper.
“It is necessary to recognize and understand the limitations of traditional diagnostic and screening methods and develop creative solutions to identify all children who will benefit from early intervention services.”
Researchers plan to continue this work by studying how children from high-risk groups read to children of primary and secondary school age. They are also studying group differences in brain structure and function.
Funding: This study was supported by grants from the National Institutes of Health (R01-HD055741, R01-MH118362-01, R01-MH118362-02S1, U54-HD079124, P50-HD103573 (project ID 808400), A848ut, A848ut). Supported by Dr. Burroughs NIH Career Development Award (K12-HD055887).
It’s about autism research news
Author: Kat Dodge
A source: University of Minnesota
The connection: Kat Dodge – University of Minnesota
Photo: Image in public domain
Original study: Closed access.
By Casey Burroughs et al., “An approach based on inconsistent sample data suggests an equivalent sex ratio of autism spectrum disorders associated with early childhood deterioration”. Biological psychiatry
An objective information-based approach reflects the equivalent sex ratio of autism spectrum disorders associated with early childhood disorders.
Gender differences in the prevalence of neurodevelopmental disorders are particularly pronounced in autism spectrum disorder (ASD). The presentation and measurement bias of heterogeneous symptoms prevent early detection of ASD in women and help to assess differences in prevalence. We reviewed the adjustment of social communication (SC) and limited and repetitive behavioral (RRBs) trajectories to measure age and sex in the model of infant siblings of autistic children. We hypothesized that the use of an increased family probability model, the acquisition of information-based behavioral constructs, and the measurement direction would reveal less inconsistent sex than observed in ASD.
We directly assessed 6-9, 12-15, 24, and 36-60 month ASD symptoms (total Nobservations= 1254) with infant siblings of autistic children (N = 377) and lower ASD-familial probability comparison group (N = 168; N)observations= 527). We set the age and sex measurement invariants for the SC and RRB separate models. We then conducted a model of a hidden class growth mix with longitudinal data and assessed gender differences in trajectory membership.
We identified two latent classes in SC and RRB models with equal sex ratios for SC and RRB. Gender differences were also observed in the risk cluster of SC, which girls classified as “high social anxiety” show milder symptoms than boys in this group.
This new approach to characterizing the progression of ASD symptoms emphasizes the usefulness of assessing and adjusting gender-related measurement trends and determining the sexual characteristics of the onset of symptoms.