1.11 ADULTHOOD GENDER VARIANCE IN MALES AND FEMALES WITH AUTISM SPECTRUM DISORDER

2016 ◽  
Vol 55 (10) ◽  
pp. S102-S103
Author(s):  
Meng-Chuan Lai ◽  
Amber N.V. Ruigrok ◽  
Andrew S. Baron ◽  
Michael V. Lombardo ◽  
Bhismadev Chakrabarti ◽  
...  
2016 ◽  
Vol 21 ◽  
pp. 51-60 ◽  
Author(s):  
Mieke P. Ketelaars ◽  
Anne In’t Velt ◽  
Audrey Mol ◽  
Hanna Swaab ◽  
Sophie van Rijn

2015 ◽  
Vol 18 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Henri V Pesonen ◽  
Elina K Kontu ◽  
Raija A Pirttimaa

AbstractSense of belonging refers to the degree to which individuals feel included, accepted, and supported by others in a variety of social settings. This study, based on the narratives of two females (ages 26 and 29) with Autism Spectrum Disorder (ASD), examines sense of belonging and various life transition issues that may appear throughout childhood, adolescence, and adulthood in the absence of appropriate social supports. Hearing the voices of females with autism is important, because the number of girls diagnosed with ASD has grown. Women on the spectrum can potentially provide significant insights into the services required to feel a sense of belonging to society. Qualitative analysis of semi-structured interviews and document data revealed that a lack of social support can increase the number of transitions and cause biases in forming a sense of belonging. The findings suggest that a sense of belonging can fade or simmer (evolving through a person's life), and that providing social assistance and positive life experiences during emerging adulthood (ages 18-25) seems to matter most in forming a strong sense of belonging. The narrative accounts of the participants hypothetically suggest that adapting one's behavior in order to feel a sense of belonging might be associated with hiding the unique characteristics of one's ASD. The findings also highlight the need to develop social supports and make these more visible to individuals with ASD, as well as to the entire community. More specific practical implications are discussed.


2019 ◽  
Vol 10 ◽  
Author(s):  
Sanna Stroth ◽  
Lena Paye ◽  
Inge Kamp-Becker ◽  
Anne-Kathrin Wermter ◽  
Sören Krach ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Ivan Kramer ◽  
Paul H. Lipkin ◽  
Alison R. Marvin ◽  
Paul A. Law

Whether autism spectrum disorder (ASD) is caused by genetics, environmental factors, or a combination of both is still being debated today. To help resolve this issue, a genetic multimutation model of ASD development was applied to a wide variety of age-of-onset data from the USA and Canada, and the model is shown to fit all the data. Included in this analysis is new, updated data from the Interactive Autism Network (IAN) of the Kennedy Krieger Institute in Baltimore, Maryland. We find that the age-of-onset distribution for males and females is identical, suggesting that ASD may be an autosomal disorder. The ASD monozygote concordance rate in twin data predicted by the genetic multimutation model is shown to be compatible with the observed rates. If ASD is caused entirely by genetics, then the ASD concordance rate of a cohort of monozygote twins should approach 100% as the youngest pair of twins in the cohort passes 10 years of age, a prediction that constitutes a critical test of the genetic hypothesis. Thus, by measuring the ASD concordance rate as a cohort of monozygote twins age, the hypothesis that this disorder is caused entirely by genetic mutations can be tested.


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