Female gender experiences
Atherton discusses the construction and socialization of the female gender experience, underscoring observed differences in toys, colors, expectations, and language used with female versus male children (2:15). She explains that females show more relational aggression (indirect) compared to males by age four (4:40) and tend to consider hierarchies and reputation in social interactions and communication from a very young age (6:15). These differences, the speaker continues, result, in part, from contrasting developmental pressures and environments between females and males.
Gender and autism
Historical descriptions of autism are skewed toward the male presentation due to classic gender biases (6:40). Atherton outlines two prominent hypotheses that aim to explain observed gender differences in autism: the Female Protective Effect (8:00) and the Male Brain Theory (10:10). While these theories have been widely investigated, contemporary understandings of gender and autism reveal them to be limited in scope and understanding.
Atherton cites research showing higher rates of gender diversity in autism, where transgender and gender-diverse people are three to four times more likely to be autistic than cisgender people (12:35). She discusses masking (16:20), or the process of copying other people and learning how to socialize, and how repetitive behaviors and other signs of autism can be easily mistaken for the expected “nice” “quiet” or “organized” qualities of girls and women (13:35).
Age of diagnosis and quality of life
The speaker details a recent investigation into the effect that age at autism diagnosis has on an individual’s quality of life (QoL) (18:50). The study found that women are significantly more likely to be diagnosed in adulthood compared to men and that women actually reported higher thresholds of autistic traits, but were still missed by practitioners (21:13). QoL scores were negatively associated with age of diagnosis and masking. In a subsequent interpretive phenomenological analysis of lived autistic experiences, participants reported that their gender kept them from receiving a diagnosis – that they would have received a diagnosis much younger if they were male (22:16). These findings suggest that women do have autism at least as frequently as men and that women are primarily underdiagnosed in adolescence, which leads to lower overall QoL (25:05).
A study by Rodgaard et al., 2021 found that women who received a late diagnosis were misdiagnosed at least once with depression, anxiety, sleep issues, etc. (28:35). Atherton underscores that without early diagnosis and proper medical care, individuals are more likely to develop co-occurring conditions. In fact, 26% of late-diagnosed women have co-occurring conditions compared to 13% of late-diagnosed males and 3% of the general population (26:10).
Implicit gender biases
The presenter outlines a study by Burrow et al., 2022 where researchers conducted direct assessments of autism symptoms at six to nine (6-9), twelve to fifteen (12-15), twenty-four (24), and thirty-six to sixty months (36-60) (30:00). Data revealed a 1:1 gender ratio of male/female children with “high concern” for autism – a stark contrast to the historically accepted 4:1 ratio. Clinician notes often referenced ‘monitoring’ girls over time but not needing a diagnosis in the same way as the boys did (33:00). These findings, Atherton asserts, suggest that although there is no biological bias, there seems to be different symptoms in females, perhaps as a result of female socialization, and subsequent bias in autism understandings and diagnosis.
To determine whether there are implicit biases held against female autism, Atherton and her team paired vignettes of autistic descriptors with male and female names and asked participants to say how autistic each vignette seemed (35:12). She explains that implicit biases may never be cognizantly acted upon, but that they still affect the way we understand and respond to information (38:15). Results from the study showed that participants were slower to respond and made more mistakes when autistic descriptors were paired with female names compared to male names. Item-by-item differences were also recorded, where words that were explicitly autistic were viewed as male, and those that were the opposite of autistic were considered female (40:11). The speaker asserts these findings show implicit biases associated with females being autistic.
Conceptualizing autism
To properly care for autistic individuals, it is critical to understand the zeitgeist or cultural climate around autism and gender. To test this, the speaker collected photos that represented autism from 163 people. Many participants sent pictures of females and wrote about the struggles that autistic women face. Many participants also noted that we need to reimagine autism in accordance with gender (42:40).
The speaker summarizes her presentation, highlighting the difficulties in diagnosis and care faced by autistic females, that women have the same amount or more autistic traits compared to men, that there are implicit biases against autism as a female experience, and that the cultural zeitgeist of autism and gender is changing according to the unique struggles and voices of autistic females (44:50). Atherton provides signup information for individuals interested in participating in future research projects about female autism trait presentation, gender diversity in autism, and adult experiences of neurodiverse people, specific to improving QoL (45:50). She provides references and thanks before the Q&A session (48:08).
