Autistic identity: A systematic review of quantitative research
Jade Davies,
Kate Cooper,
Estelle Killick
et al.
Abstract:Autism can be considered both a personal and social identity. Identifying the factors contributing to positive Autistic identity development is crucial given the potential implications for mental health and wellbeing. In this systematic review, we aimed to synthesize quantitative literature on Autistic identity to identify the (individual and environmental) factors associated with Autistic identity, and to ascertain the relationship between Autistic identity and mental health and wellbeing. A total of 3,617 st… Show more
“…Recognising the high degree of similarity between diagnosed and self-identifying autistic people brings benefits that extend beyond research feasibility. The formation of an autistic identity, either through self-identification or diagnosis, contributes positively to the mental health and wellbeing of autistic people (Bervoets & Hens, 2020;Davies et al, 2023;Fletcher-Watson, 2023;Leedham et al, 2019;Lewis, 2016;Lilley et al, 2021), facilitating access to appropriate support that can improve quality of life, and shifting perceptions from negative labelling to a more nuanced understanding of personal identity (Arnold et al, 2020;Cerda et al, 2023;Davies et al, 2023;Huang et al, 2022bHuang et al, , 2022aHume & Burgess, 2021;McDonald, 2020;Smith-Young et al, 2020). It is possible, of course, that our self-identifying autistic people may have extensively researched what constitutes autism before/during self-identification.…”
Section: Similarity Of Formally Diagnosed and Self-identifying Autist...mentioning
confidence: 99%
“…However, not all autistic people can (or want to) receive a formal diagnosis, and this seems especially so for specific groups: females, those without intellectual disabilities, multiply marginalised people, people suffering poor access to resources or funding for services or those less likely to be diagnosed in childhood (Anderson et al, 2018;Dababnah et al, 2018;Davis et al, 2022;Lockwood Estrin et al, 2021;Malik-Soni et al, 2022). When access to formal diagnosis is unavailable, autistic trait measures could help people embrace an autistic identity or navigate towards a formal diagnosis (Botha et al, 2020;Crawshaw, 2023;Davies et al, 2023).…”
Autistic traits may be assessed for a variety of purposes including as a screener before seeking autism assessment, and as a measure of autistic-like traits as expressed in the general population for use in research. For such tools to be useful in research and clinical contexts, it is paramount that autistic trait inventories efficiently and accurately assess autism as it is currently defined and that they are valid in different demographic groups. The present study assesses the psychometric properties of the Comprehensive Autistic Trait Inventory (CATI), a relatively recently developed measure of autistic traits that examines six trait domains, including sensory sensitivity and social camouflage) using 42 self-report statements. To properly examine the CATI, we recruited large samples of autistic (n = 1,322) and non-autistic (n = 1,279) participants to complete the scale. Factor fit for the six subscale factor structure was appropriate as was total-scale and subscale reliability. Sensitivity and specificity supported the use of the CATI to discriminate autistic and non-autistic participants and total-scale classification threshold developed. Additional analyses examined differences between diagnosed (n = 737) and self-identifying (n = 585) autistic participants, with little to differentiate the groups. Gender differences for the subscales were noted across both autistic and non-autistic groups with a trend for higher scores to be observed in participants of a gender minority (n = 336) compared to cis-males (n = 1,205) and cis-females (n = 1,059), and gender-specific thresholds additionally computed. Lastly, the effect of age on autistic traits was examined with traits in non-autistic participants generally decreasing in older age groups and more complex pattern across the subscales noted for autistic participants. Overall, our results indicate that the CATI is a practical measure of autistic traits in both non-autistic and autistic participants and should be of use to researchers, clinicians, and the general public alike.
“…Recognising the high degree of similarity between diagnosed and self-identifying autistic people brings benefits that extend beyond research feasibility. The formation of an autistic identity, either through self-identification or diagnosis, contributes positively to the mental health and wellbeing of autistic people (Bervoets & Hens, 2020;Davies et al, 2023;Fletcher-Watson, 2023;Leedham et al, 2019;Lewis, 2016;Lilley et al, 2021), facilitating access to appropriate support that can improve quality of life, and shifting perceptions from negative labelling to a more nuanced understanding of personal identity (Arnold et al, 2020;Cerda et al, 2023;Davies et al, 2023;Huang et al, 2022bHuang et al, , 2022aHume & Burgess, 2021;McDonald, 2020;Smith-Young et al, 2020). It is possible, of course, that our self-identifying autistic people may have extensively researched what constitutes autism before/during self-identification.…”
Section: Similarity Of Formally Diagnosed and Self-identifying Autist...mentioning
confidence: 99%
“…However, not all autistic people can (or want to) receive a formal diagnosis, and this seems especially so for specific groups: females, those without intellectual disabilities, multiply marginalised people, people suffering poor access to resources or funding for services or those less likely to be diagnosed in childhood (Anderson et al, 2018;Dababnah et al, 2018;Davis et al, 2022;Lockwood Estrin et al, 2021;Malik-Soni et al, 2022). When access to formal diagnosis is unavailable, autistic trait measures could help people embrace an autistic identity or navigate towards a formal diagnosis (Botha et al, 2020;Crawshaw, 2023;Davies et al, 2023).…”
Autistic traits may be assessed for a variety of purposes including as a screener before seeking autism assessment, and as a measure of autistic-like traits as expressed in the general population for use in research. For such tools to be useful in research and clinical contexts, it is paramount that autistic trait inventories efficiently and accurately assess autism as it is currently defined and that they are valid in different demographic groups. The present study assesses the psychometric properties of the Comprehensive Autistic Trait Inventory (CATI), a relatively recently developed measure of autistic traits that examines six trait domains, including sensory sensitivity and social camouflage) using 42 self-report statements. To properly examine the CATI, we recruited large samples of autistic (n = 1,322) and non-autistic (n = 1,279) participants to complete the scale. Factor fit for the six subscale factor structure was appropriate as was total-scale and subscale reliability. Sensitivity and specificity supported the use of the CATI to discriminate autistic and non-autistic participants and total-scale classification threshold developed. Additional analyses examined differences between diagnosed (n = 737) and self-identifying (n = 585) autistic participants, with little to differentiate the groups. Gender differences for the subscales were noted across both autistic and non-autistic groups with a trend for higher scores to be observed in participants of a gender minority (n = 336) compared to cis-males (n = 1,205) and cis-females (n = 1,059), and gender-specific thresholds additionally computed. Lastly, the effect of age on autistic traits was examined with traits in non-autistic participants generally decreasing in older age groups and more complex pattern across the subscales noted for autistic participants. Overall, our results indicate that the CATI is a practical measure of autistic traits in both non-autistic and autistic participants and should be of use to researchers, clinicians, and the general public alike.
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