Gender differences in high-functioning autism: implications in everyday life and clinical settings

Martina Micai1, Angela Caruso1, Laura Maria Fatta1,2, Francesca Fulceri1, Maria Luisa Scattoni1

1Research Coordination and Support Service, Italian National Institute of Health, Rome, Italy; 2Department of Developmental and Social Psychology, Sapienza University of Rome.

Received 4 January 2019; accepted 13 March 2019.

Summary. Gender differences in autism spectrum disorder have been extensively investigated; however, reviews on gender differences in individuals with high-functioning autism spectrum conditions are still limited. This review summarizes gender differences in intelligence quotient, functional adaptation, executive function, social and cultural expectations, language and pragmatic skills, core symptoms (communication/social interaction, and restricted/repetitive patterns of behavior, interests or activities), neurobiology and their implications on diagnosis and treatment selection. Current literature shows the need to identify precise diagnostic tools that may reduce the gender bias in the diagnosis of autism spectrum disorders. A lack of diagnosis or a misdiagnosis leads to inappropriate treatment that may have negative consequences on the individual’s development. Directions for future research focuses are provided and the implications in clinical settings are discussed with the aim of identifying points for consideration in order to improve the everyday life of females and males with a high-functioning autism spectrum condition.

Key words. Autism spectrum disorder, high functioning autism, Asperger syndrome, gender differences.

Differenze di genere nelle persone con autismo ad alto funzionamento: implicazioni nella vita quotidiana e nei contesti clinici

Riassunto. Le differenze di genere nel disturbo dello spettro autistico sono state ampiamente studiate, tuttavia sono ancora limitate le revisioni sulle differenze di genere nelle persone con autismo ad alto funzionamento. Questa review presenta i risultati e le implicazioni per clinici e ricercatori sulle differenze di genere negli individui con autismo ad alto funzionamento su quoziente intellettivo, funzionamento adattivo, funzioni esecutive, aspettative sociali e culturali, abilità linguistiche e pragmatiche, sintomi nucleari (comunicazione/interazione sociale, e comportamenti, interessi o attività ristretti/ripetitivi) e neurobiologia. Dalla letteratura attuale emerge la necessità di individuare precisi strumenti diagnostici che possano ridurre l’impatto delle differenze di genere nella diagnosi di disturbo dello spettro autistico. Una mancanza di diagnosi o una diagnosi errata porta ad un trattamento non appropriato che può avere conseguenze negative sullo sviluppo dell’individuo. Vengono fornite indicazioni per i futuri focus di ricerca e vengono discusse le implicazioni nei contesti clinici con l’obiettivo di raccogliere spunti di riflessione per migliorare la vita quotidiana di donne e uomini con autismo ad alto funzionamento.

Parole chiave. Disturbo dello spettro autistico, autismo ad alto funzionamento, sindrome di Asperger, differenze di genere.

Introduction

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with persistent deficits in social communication and social interaction and the presence of restricted, repetitive patterns of behavior, interests, or activities1. Clinical manifestations of ASD vary depending on the severity of core symptoms, developmental level, and chronological age1. Recent epidemiological data reported a prevalence rate of ASD in the USA and Europe ranging from 1:59 to 1:100 and that varies with sex and race/ethnicity2-5.

In this narrative review, we present gender differences in a subgroup of individuals with a high-functioning autism spectrum condition. Data included individuals with autism spectrum disorder but without cognitive impairments (according to DSM 51), and individuals diagnosed with Asperger syndrome and pervasive developmental disorder according to DSM IV-TR6.

Professionals should be aware of gender differences in high-functioning autism in order to improve diagnostic and treatment practices and the etiological understanding of the disorder.

Methods

A literature search was conducted between October 23 and November 22, 2018 using the PubMed electronic database. The search terms used were: (high functioning autism [Title/Abstract] OR PDD [Title/Abstract] OR child development disorders, pervasive [Title/Abstract] OR asperger syndrome [Title/Abstract]) AND (sex characteristics OR gender differences OR sex differences). The search was not limited by language or publication date. Given the narrative nature of this review, we selected the literature that we considered useful to describe the clinical and neurobiological aspects of the gender bias in the ASD population.

Prevalence of the gender bias

ASD occurs about 4 times more often in males than in females7, and in high-functioning autism (HFA) ranges from 6:18 to 10:19. Hiller, Young and Weber10 observed that pre-diagnosis concerns were also significantly different between the sexes, to the detriment of females. It is worth noticing that there is an underrepresentation of females with ASD in the scientific studies analyzed11. The several discrepancies in the gender ratio in pre-diagnosis concerns, diagnosis and research may in part due to false negatives or misdiagnosis of females with ASD, that are often classified as affective disorders, anxiety disorders, personality disorders or eating disorders12. Neurobiological factors may also play a role in the prevalence of the male:female ratio; possible implications are discussed in a dedicated paragraph below.

In addition, females with Asperger syndrome under 18 years of age tend to obtain a diagnosis later than their male peers13. One interpretation of this diagnosis gap between males and females with ASD is provided by the camouflage hypothesis14. Girls seem to be more capable than boys of masking ASD symptoms and in compensating social behavior flaws15-17. Dean and colleagues described the camouflage hypothesis in children with ASD without intellectual disabilities in the school setting14. Females tended to stay in closer proximity to peers and to be more involved in activities, whereas males tended to play alone (unlike typically developing children who played in organized games). In addition, females generally tended to play games that imply functional social skills such as dolls or that imitate complex behavioral schemes10.

A recent systematic review approached this issue by analyzing 54 studies including 13,784,284 participants. Findings revealed that in children meeting the criteria for ASD, the true male-to-female ratio is closer to 3:1. Thus, girls who met the criteria for ASD had a disproportionate risk of not receiving a clinical diagnosis18.

Neuropsychological profile

The risk of females being underdiagnosed is particularly true for girls without intellectual disabilities or with an intelligent quotient (IQ) over 7019-21. However, the diagnosis of intellectual disability should be based on both clinical assessment and standardized testing of intellectual and adaptive functions1. Thus, although there is no evidence that adaptive skills differ with gender22,23, it is important to study these areas further, because they play a crucial role in programming an adequate support for individuals with ASD. The influence of higher IQs in the gender discrepancy of HFA diagnosis may be due to the previously described camouflage hypothesis: females with higher IQ, are more capable of adopting strategies that make them more socially functional.

The executive function (e.g. initiation, sustained attention, shifting, inhibition and planning skills) of females with ASD may contribute to a social functional advantage. There is a limited number of studies on gender differences in the executive function of individuals with HFA and the results vary greatly. Lehnhardt and colleagues24 showed that females diagnosed late in life had higher processing speed and executive function scores, whereas males had better verbal abilities. In addition, females with ASD scored better than males for attention to detail and dexterity involving executive function25. Again, these results may support the camouflage hypothesis. However, in other studies, executive function difficulties were observed more frequently in females than in males with HFA. Kiep and Spek26 observed that females with HFA performed worse than males for working memory and had more perseverative errors on the Wisconsin Card Sorting Test27, but fewer perseverative errors and completed more strategies in the same test. In addition, the same performance between genders was seen in planning abilities. Parents also reported deficits in executive function and everyday life skills more often for females with HFA than for males28. Inhibition skills have been observed to be poorer in females with HFA than in males29. The heterogeneity of these results urges further exploration considering that the methodology may have an impact on the performance of individuals with HFA. For example, they may benefit from using computerized executive function tests, or parent-reports may be biased by parent expectations that in turn may differ between the genders.

Language and pragmatic skills

The diagnosis of ASD is based on behavioral measurements that involve verbal, nonverbal and pragmatic skills. For this reason, it is fundamental to consider these skills when studying the gender gap in people with HFA. The previously cited camouflage hypothesis was also observed with regard to the linguistic and pragmatic skills in a recent study30 in which females with HFA used pragmatic expressions and conversational pauses in a more similar way to typical population compared to males with HFA. Pragmatic skills are also supported by better scores in verbal fluency in girls with HFA, with more detailed emotional autobiographical memories31 and more frequent use of internal state language32, and gestures33, abilities which are important for social functioning and provide a wealth of knowledge that is crucial to adequately address future social situations34, 35. Linguistic and pragmatic skills in ASD, and specifically in subjects with HFA, is a field of research that needs to be more widely investigated, because it may be one of the keys for understanding the gender bias in the diagnosis of ASD.

Social communication and social interaction

The results regarding ASD gender differences in social communication and interaction vary and few studies evaluate social skills in individuals with HFA. In these studies, the parents of girls with HFA reported more social problems than the parents of boys36, showing females to be more socially anxious37,38, to have greater difficulties making friends36,39, worse communication skills33, and to lack of a true understanding of interactional meaning when playing40. However, females with HFA tend to feel a stronger desire to develop friendships than their male peers41. These results may be partly due to the cultural expectations that society has of the female prototype36,39,42. Indeed, it may be useful to consider cultural backgrounds and social expectations when exploring gender differences in people with HFA in future research.

Sociocultural influences on ASD diagnosis also influence the gender ratio and delay in diagnosis. Females with HFA may be seen as ‘shy’, instead of considering their social flaws part of the symptoms of a developmental condition. This may explain why parents and teachers may ask for a clinical opinion later in time. In addition, consistently with the camouflage hypothesis, females with HFA may learn gender-related normative behavior, but they tend to maintain problems with the true understanding of the social meaning of context, rules, and relationships43. Not only the individual gender differences seem to have a fundamental influence on the gender bias in diagnosis, but also the social context plays an important role. Females tend to be accompanied by ‘protective same-age friendships’ that play an inclusive role. These behaviors would allow females with HFA to appear more socially included in the peer group43. Another important aspect is the clinician’s expectation bias: given the gender ratio of ASD, clinicians may expect to meet more males with ASD than females and this fact may influence the lower inclination to diagnose a girl with ASD44,45. Additionally, practitioners are using diagnostic criteria and interpreting the clinical signs on the basis of ASD research conducted on predominantly male samples12.

Restricted, repetitive patterns of behavior, interests or activities

Again, results are controversial when we talk about gender differences in individuals with a high functioning autism spectrum condition in restricted, repetitive patterns of behavior, interests or activities. On the one hand, it has been observed for males to adopt more frequent repetitive behaviors46,47 and restricted interests47 than females, and higher rates of support at school due to hyperactive behavior48. On the other hand, no gender differences have been observed for repetitive and restricted behaviors in HFA19,39 or stereotyped behaviors39, even when IQ was used as a covariate49. In another study, stereotyped behaviors in males decrease during their lifetime, whereas for females they remained constant33. To explain the gender bias in the repetitive and restricted behavior area, one recent hypothesis considers that females may display a different phenotype or different patterns of stereotyped behaviors50,51, with more socially appropriate interests, in line with the camouflage theory52. Future research should seek to pinpoint the reasons for these discrepancies (e.g. differences in restricted, repetitive patterns of behavior, interests or activity types between genders) and potentially identify an ad hoc assessment tools for evaluating female and male behaviors.

Neurobiology

Since no single neurobiological marker is known to have an integral role, it has been hypothesized that an interplay between genetic alterations, prenatal environments and epigenetic effects may be responsible for the striking gender bias in ASD53-57. Here, we summarize the possible etiological protective and risk factors responsible for the gender bias in HFA.

A considerable number of studies report the “female protective effect” theory, according to which females with ASD carry a higher heritable mutational “load” than ASD males58. In favor of this, the siblings of females with ASD have higher autistic trait scores and a higher recurrence risk than the siblings of males with ASD59. Although some studies need to be replicated, other findings indicate that the male preponderance of ASD, including HFA, is linked to autosomal and sex-specific genetic alterations, such as single nucleotide polymorphisms (SNPs), single-nucleotide variants (SNVs) and copy number variants (CNVs)60-63. For example, Sato and colleagues64 discovered an inherited mutation with a clear male-biased penetrance in the SHANK1 gene that is involved in neuronal synaptic function and plays a role in mediating social behavior, particularly when it affects higher social cognitive functioning. They described HFA in males carrying a microdeletion in the SHANK1 gene, whereas female relatives carrying the same microdeletion show anxiety but did not meet the diagnostic criteria for ASD64. This sex-dependent genotype effect is in line with the data collected in ASD animal models: SHANK1 deletion causes specific ASD-related deficits, with a focus on social recognition and cognitive functioning, only in male mice, whereas females display severe social anxiety levels65.

Another phenomenon that could provide substantial information for understanding the biological basis of gender differences in ASD regards the genetic heterogeneity related to the X chromosome. As a part of this sex chromosome theory, two specific conditions have been proposed: in females, possessing an increased X-chromosome gene dosage is protective, whereas in males, the expression of Y-chromosome genes represents a higher risk factor for developing ASD. As females have double the dose of X-chromosome genes of males, humans have developed an X-inactivation process, which may or may not occur randomly. The possibility of a preferential X-inactivation chromosome may protect females from expressing X-linked mutations in genes associated with ASD66. In one study, an example of a lack of a protective effect associated with preferential X inactivation in females was observed. The authors hypothesized that mutations in the FMR1 allele, known to cause intellectual disability and autistic behavior, might also contribute to the etiology of HFA, especially in women67.

In males, the Y chromosome contains the SRY gene, which plays an important role during development because it regulates the production of testosterone, a key factor for the masculinization process68. Many studies have demonstrated that high levels of fetal testosterone are associated with the development of ASD, with some findings of higher levels of testosterone in autistic females than in typically developing peers69,70. Research by the Baron-Cohen group71 provided evidence that serum and amniotic levels of testosterone are higher in the ASD population, notably among females71,72. Moreover, they identified sex-specific biomarker fingerprints for males and females with HFA: males showed altered levels of cytokines and other inflammatory molecules, whereas females presented altered levels of several biomarkers, including growth factors and hormones73,74. These findings revealed the effect of prenatal sex hormones and the immune system associated with the development of ASD, assuming them to be secondary environmental candidates in modulating gender differences in HFA.

Human neuroimaging findings explore the brain characteristics of ASD, reporting substantial structural and functional differences between males and females75-77. The extreme male brain theory (EMB) describes the ‘ASD brain’ as an extreme and hypermasculinized variant of the male brain. According to this theory, males are better able to analyze or construct systems (systemizing quotient), whereas females achieve higher scores for empathy, language skills, and social cognition (empathy quotient)78. In support of the EMB theory, females characterized by a male-typical organization of brain anatomy were significantly more likely to be diagnosed with HFA than female individuals with a female-typical brain phenotype79. More specifically, when investigating the neuroanatomical features of the gray and white matter regions, suggestive evidence of neuroanatomical ‘masculinization’ was observed in some areas of the brain of females with HFA, compared to males76. Gender differences in the behavioral phenotype may also be explained by differences in brain connectivity. Nevertheless, the studies addressing structural connectivity and gender differences in HFA are limited and substantially controversial. Recently, Zeestraten and colleagues reported frontal lobe alterations in males with HFA that are not observed in females with HFA, which supports the disconnection of the frontal lobe from higher-order association areas in ASD80. Contrary to expectations, Kirkovski and collaborators found no effects of biological sex differences when investigating white matter integrity in individuals with HFA, thereby suggesting typical brain connectivity81.

There is also evidence of test-dependent differences between males and females diagnosed with HFA in terms of brain function. Beacher and colleagues observed greater temporal, parietal, middle frontal region activation in HFA males and typical females than in HFA females and typical males during mental rotation tasks, such as visuospatial processing82. Similarly, males and females with HFA differ in their neural activity during the processing of social understanding. Whole brain analysis reported that HFA and typical developing females show the same response when processing social information, whereas males with HFA have an atypical temporal lobe activation pattern83. Thus, for certain cognitive and social domains, males and females with HFA could be considered as two clinical sub-samples, as they behave differently. Interestingly, the anatomical specificity of the structural and functional studies described above is potentially important due to the involvement of the frontal and temporal lobe in higher-order cognitive functioning that appears to be atypical in ASD.

Although the findings collected to date are not exhaustive, it could be postulated that HFA males and females appear to differ on a neurobiological level. Additional preclinical and clinical research is needed to investigate the substantial etiological gender diversity.

Discussion: implications for clinical settings and everyday life

As described previously, the diagnostic difficulties in identifying females with ASD without intellectual disability are due to supplementary compensatory strategies that are supported by the protective socio-cultural environment. However, it has been documented that the phenotypical representation of the symptoms of females is different to those of males with HFA84. Current literature shows that the clinical manifestation in the preschool age is similar for both genders85,86. During primary and middle school, the differences between girls and boys are minimal, but they increase in adolescence, when females try to compensate for their deficits with a greater determination to learn social norms87,14 at the cost of a greater effort and suffering, thereby demonstrating a greater interest in relationship and social cues to males with ASD.

One aspect worthy of consideration are the comorbidity differences between genders, as it is now less clear whether females with ASD have a different comorbidity profile compared to males with ASD. The current opinion is that females, beyond the misdiagnosis bias, tend to present concomitant internalizing disorders earlier, whereas males more often present externalizing problems46. Again, considering age is crucial, because the levels of depressive and anxiety symptoms become similar for both genders in late adolescence88. For females, adolescence can be a vulnerable period for the development of comorbidities because it is characterized by the challenges of puberty and changes in peer-to-peer relationships, which are based more on introspective and metacognitive styles89.

A gender and diagnosis interaction has been identified for externalizing problems, especially for the hyperactivity and inattention domains. In a recent study, May and collaborators90 found that younger males with HFA were more severely impaired than younger females with HFA, but these differences disappeared by the age of 10-12 years. Interestingly, individuals with ASD (regardless of gender) presented more hyperactive and inattention deficits than their typically-developing matched peers.

Gender differences in HFA have been also explored in certain aspects of everyday work life and sexuality. With regard to the workplace, it is not possible to define clear results due to the limited sample sizes and the presence of numerous qualitative studies91. One study showed that females experienced more challenges in multitasking and stress management92 whereas another showed no differences between genders at work93.

Sexuality is an important aspect that has been seen to vary between genders in individuals with high-functioning autism: females tended to be more exposed to adverse sexual experiences than males and typically developing people, but males reported a greater desire for and engagement in sexual contact94. Men with HFA tended to feel greater sexual anxiety, lower sexual arousability, lower dyadic desire, and fewer positive sexual cognitions95, more hypersexual and paraphilic fantasies96, but better sexual function95 and a greater interest in sexuality97 than women with HFA.

To conclude, diagnostic camouflaging, misdiagnosis or co-morbidities influence the timing and likelihood of autism identification in females, representing a challenge for the diagnosis54 and for the appropriate selection of the treatment program. Indeed, a misdiagnosis or incorrect diagnosis leads to unspecific intervention (either pharmacological or behavioral) that may not have the desired effect on the targeted competences/impairments and, in the worst-case scenario, could be even detrimental.




References

1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 5th Ed (DSM-5). Washington, DC: American Psychiatric Publishing; 2013.

2. Baio J, Wiggins L, Christensen DL, Maenner MJ, Daniels J, Warren Z, et al. Prevalence of autism spectrum disorder among children aged 8 years. Autism and developmental disabilities monitoring network, 11 sites, United States, 2014. MMWR Surveill Summ. 2018;67(6):1.

3. Baird G, Simonoff E, Pickles A, Chandler S, Loucas T, Meldrum D, et al. Prevalence of disorders of the autism spectrum in a population cohort of children in South Thames: the Special needs and autism project (SNAP). Lancet. 2006;368(9531):210-15. doi: 10.1016/S0140-6736(06)69041-7.

4. Brugha TS, McManus S, Bankart J, Scott F, Purdon S, Smith J, et al. Epidemiology of autism spectrum disorders in adults in the community in England. Arch Gen Psychiatry. 2011;68(5):459-65. doi:10.1001/archgenpsychiatry.2011.38

5. Christensen DL, Baio J, Braun KV, Bilder D, Charles J, Constantino JN, et al. Autism and developmental disabilities monitoring network, 11 sites, United States, 2012. MMWR Surveill Summ. 2016;65:1-23.

6. American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 4th Ed, Text Revision (DSM-IV-TR). Washington, DC: American Psychiatric Association Press; 2000.

7. Centers for Disease Control & Prevention [Internet]. Autism and developmental disabilities monitoring (ADDM) network [cited 2018 Nov 20]. Available from: https://www.cdc.gov/ncbddd/autism/addm.html

8. Fombonne E. Epidemiological surveys of autism and other pervasive developmental disorders: an update. J Autism Dev Disord. 2003;33(4):365-82.

9. Baron-Cohen S. The essential difference: male and female brains and the truth about autism. New York: Basic Books; 2004.

10. Hiller RM, Young RL, Weber N. Sex differences in pre-diagnosis concerns for children later diagnosed with autism spectrum disorder. Autism. 2015;20(1):75-84. doi: 10.1177/1362361314568899

11. Lai MC, Baron-Cohen S, Buxbaum JD. Understanding autism in the light of sex/gender. Mol Autism. 2015:24. doi: 10.1186/s13229-015-0021-4

12. Young H, Oreve MJ, Speranza M. Clinical characteristics and problems diagnosing autism spectrum disorder in girls. Arch Pediatr. 2018;25(6):399-40. doi: 10.1016/j.arcped.2018.06.008

13. Begeer S, Mandell D, Wijnker-Holmes B, Venderbosch S, Rem D, Stekelenburg F, et al. Sex differences in the timing of identification among children and adults with autism spectrum disorders. J Autism Dev Disord. 2013;43(5):1151-6.

14. Dean M, Harwood R, Kasari C. The art of camouflage: gender differences in the social behaviors of girls and boys with autism spectrum disorder. Autism. 2016;21(6):678-89. doi: 10.1177/1362361316671845

15. Dworzynski K, Ronald A, Bolton P, Happé F. How different are girls and boys above and below the diagnostic threshold for autism spectrum disorders? J Am Acad Child Adolesc Psychiatry. 2012;51(8):788-97. doi: 10.1016/j.jaac.2012.05.018.

16. Gould J, Ashton-Smith J. Missed diagnosis or misdiagnosis? Girls and women on the autism spectrum. Good Autism Practice (GAP). 2011;12(1):34-41.

17. Tierney S, Burns J, Kilbey E. Looking behind the mask: social coping strategies of girls on the autistic spectrum. Res Autism Spectr Disord. 2016;23:73-83. doi: 10.1016/j.rasd.2015.11.013

18. Loomes R, Hull L, Mandy WPL. What is the male-to-female ratio in autism spectrum disorder? A systematic review and meta-analysis. J Am Acad Child Adolesc Psychiatry. 2017;56:466-474. doi: 10.1016/j.jaac.2017.03.013

19. Rivet TT, Matson JL. Review of gender differences in core symptomatology in autism spectrum disorders. Res Autism Spectr Disord. 2011;5(3):957-76. doi:10.1016/j.rasd.2010.12.003

20. Bhasin TK, Schendel D. Sociodemographic risk factors for autism in a US metropolitan area. J Autism Dev Disord. 2007;37(4):667-77.

21. Giarelli E, Wiggins LD, Rice CE, Levy SE, Kirby RS, Pinto-Martin J, et al. Sex differences in the evaluation and diagnosis of autism spectrum disorders among children. Disabil Health J. 2010;3(2):107-116. doi:10.1016/j.dhjo.2009.07.001

22. Postorino V, Fatta LM, De Peppo L, Giovagnoli G, Armando M, Vicari S, et al. Longitudinal comparison between male and female preschool children with autism spectrum disorder. J Autism Dev Disord. 2015;45(7):2046-55.

23. Postorino V, Fatta LM, Sanges V, Giovagnoli G, De Peppo L, Vicari S, et al. Intellectual disability in autism spectrum disorder: investigation of prevalence in an Italian sample of children and adolescents. Res Dev Disabil. 2016;48:193-201. doi: 10.1016/j.ridd.2015.10.020

24. Lehnhardt FG, Falter CM, Gawronski A, Pfeiffer K, Tepest R, Franklin J, et al. Sex-related cognitive profile in autism spectrum disorders diagnosed late in life: implications for the female autistic phenotype. J Autism Dev Disord. 2016;46(1):139-54.

25. Lai MC, Lombardo MV, Ruigrok AN, Chakrabarti B, Wheelwright SJ, Auyeung B, et al. Cognition in males and females with autism: similarities and differences. PLoS One. 2012;7(10):e47198. doi: 10.1371/journal.pone.0047198

26. Kiep M, Spek AA. Executive functioning in men and women with an autism spectrum disorder. Autism Res. 2017;10(5):940-8. doi: 10.1002/aur.1721

27. Heaton RK, Chelune GJ, Talley KL, Kay GG, Curtiss G. Wisconsin card sorting test manual: revised and expanded. Odessa, USA: Psychological Assessment Resources; 1993.

28. White EI, Wallace GL, Bascom J, Armour AC, Register-Brown K, Popal H, et al. Sex differences in parent-reported executive functioning and adaptive behavior in children and young adults with autism spectrum disorder. Autism Res. 2017;10(10):1653-62. doi: https://doi.org/10.1002/aur.1811

29. Lemon JM, Gargaro B, Enticott PG, Rinehart NJ. Brief report: executive functioning in autism spectrum disorders: a gender comparison of response inhibition. J Autism Dev Disord. 2011;41(3):352-6.

30. Parish-Morris J, Liberman MY, Cieri C, Herrington JD, Yerys BE, Bateman L, et al. Linguistic camouflage in girls with autism spectrum disorder. Mol Autism. 2017;8(1):48. doi: 10.1186/s13229-017-0164-6

31. Goddard L, Dritschel B, Howlin P. A preliminary study of gender differences in autobiographical memory in children with an autism spectrum disorder. J Autism Dev Disord. 2014;44(9):2087-95.

32. Kauschke C, van der Beek B, Kamp-Becker I. Narratives of girls and boys with autism spectrum disorders: gender differences in narrative competence and internal state language. J Autism Dev Disord. 2016;46(3):840-852. doi: 10.1007/s10803-015-2620-5

33. Rynkiewicz A, Schuller B, Marchi E, Piana S, Camurri A, Lassalle A, et al. An investigation of the ‘female camouflage effect’ in autism using a computerized ADOS-2 and a test of sex/gender differences. Mol Autism. 2016;7(1):10. doi: 10.1186/s13229-016-0073-0

34. Goddard L, Dritschel B, Burton A. Role of autobiographical memory in social problem-solving and depression. J Abnorm Psychol. 1996;105:609-15.

35. Goddard L, Dritschel B, Burton A. The effect of specific retrieval instruction on social problem-solving in depression. Br J of Clin Psychol. 2010;40:297-308. doi: 10.1348/014466501163706

36. Holtmann M, Bölte S, Poustka F. Autism spectrum disorders: sex differences in autistic behaviour domains and coexisting psychopathology. Dev Med Child Neurol. 2007;49(5):361-366. doi: 10.1111/j.1469-8749.2007.00361

37. May T, Cornish K, Rinehart N. Does gender matter? A one year follow-up of autistic, attention and anxiety symptoms in high-functioning children with autism spectrum disorder. J Autism Dev Disord. 2014;44(5):1077-86.

38. Miller M, Bales KL, Taylor S, Yoon J, Hostetler CM, Carter CS, et al. Oxytocin and vasopressin in children and adolescents with autism spectrum disorders: sex differences and associations with symptoms. Autism Res. 2013;6(2):91-102. doi: doi.org/10.1002/aur.1270

39. McLennan JD, Lord C, Schopler E. Sex differences in higher functioning people with autism. J Autism Dev Disord. 1993;23(2):217-27.

40. Kopp S, Gillberg C. Girls with social deficits and learning problems: autism, atypical Asperger syndrome or a variant of these conditions. Eur Child & Adolesc Psychiatry. 1992;1(2):89-99.

41. Bauminger N, Kasari C. Loneliness and friendship in high-functioning children with autism. Child Dev. 2000;71(2):447-56. doi: 10.1111/1467-8624.00156

42. Cheslack-Postava K, Jordan-Young RM. Autism spectrum disorders: toward a gendered embodiment model. Soc Sci Med. 2012;74(11):1667-74. doi: 10.1016/j.socscimed.2011.06.013

43. Kreiser NL, White SW. ASD in females: are we overstating the gender difference in diagnosis? Clin Child and Fam Psychol Rev. 2014;17(1):67-84.

44. Hartung CM, Widiger TA. Gender differences in the diagnosis of mental disorders: conclusions and controversies of the DSM-IV. Psychol Bull. 1998;123(3):260. doi: 10.1037/0033-2909.123.3.260

45. Rutter M, Caspi A, Moffitt TE. Using sex differences in psychopathology to study causal mechanisms: unifying issues and research strategies. J Child Psychol Psychiatry. 2003;44(8):1092-115. doi: 10.1111/1469-7610.00194

46. Mandy W, Chilvers R, Chowdhury U, Salter GH, Seigal A, Skuse D. Sex differences in autism spectrum disorder: evidence from a large sample of children and adolescents. J Autism Dev Disord. 2012;42(7):1304-13.

47. Wilson CE, Murphy C M, McAlonan G, Robertson DM, Spain D, Hayward H, et al. Does sex influence the diagnostic evaluation of autism spectrum disorder in adults? Autism. 2016;20(7):808-19. doi: 10.1177/1362361315611381

48. May T, Rinehart N, Wilding J, Cornish K. The role of attention in the academic attainment of children with autism spectrum disorder. J Autism Dev Disord. 2013;43(9):2147-58.

49. Banach R, Thompson A, Szatmari P, Goldberg J, Tuff L, Zwaigenbaum L, et al. Brief report: relationship between non-verbal IQ and gender in autism. J Autism Dev Disord. 2009;39(1):188.

50. Kirkovski M, Enticott PG, Fitzgerald PB. A review of the role of female gender in autism spectrum disorders. J Autism Dev Disord. 2013;43(11):2584-603.

51. Van Wijngaarden-Cremers PJM, van Eeten E, Groen WB, Van Deurzen PA, Oosterling IJ, Van der Gaag RJ. Gender and age differences in the core triad of impairments in autism spectrum disorders: a systematic review and meta-analysis. J Autism Dev Disord. 2014;44(3):627-35.

52. Mattila ML, Hurtig T, Haapsamo H, Jussila K, Kuusikko-Gauffin S, Kielinen M, et al. Comorbid psychiatric disorders associated with Asperger syndrome/high-functioning autism: a community and clinic-based study. J Autism Dev Disord. 2010;40:1080-93. doi: /10.1016/j.ridd.2015.10.020

53. Chen C, Van Horn JD. GENDAAR Research Consortium. Developmental neurogenetics and multimodal neuroimaging of sex differences in autism. Brain Imaging Behav. 2017;11(1):38-61. doi: 10.1007/s11682-015-9504-3

54. Lai MC, Lombardo MV, Auyeung B, Chakrabarti B, Baron-Cohen S. Sex/gender differences and autism: setting the scene for future research. J Am Acad Child Adolesc Psychiatry. 2015;54(1):11-24. doi: 10.1016/j.jaac.2014.10.003

55. Schaafsma SM, Pfaff DW. Etiologies underlying sex differences in autism spectrum disorders. Front Neuroendocrinol. 2014;35(3):255-71. doi: 10.1016/j.yfrne.2014.03.006

56. Schaafsma SM, Gagnidze K, Reyes A, Norstedt N, Månsson K, Francis K, et al. Sex-specific gene-environment interactions underlying ASD-like behaviors. Proc of the Natl Acad Sci USA. 2017;114(6):1383-8. doi: 10.1073/pnas.1619312114

57. Werling DM, Geschwind DH. Sex differences in autism spectrum disorders. Curr Opin Neurol. 2013;26(2):146-53. doi: 10.1097/WCO.0b013e32835ee548

58. Gockley J, Willsey AJ, Dong S, Dougherty JD, Constantino JN, Sanders SJ. The female protective effect in autism spectrum disorder is not mediated by a single genetic locus. Mol Autism. 2015;6:25. doi: 10.1186/s13229-015-0014-3.eCollection 2015

59. Palmer N, Beam A, Agniel D, Eran A, Manrai A, Spettell C, et al. Association of sex with recurrence of autism spectrum disorder among siblings. JAMA Pediatr. 2017;171(11):1107-12. doi: 10.1001/jamapediatrics.2017.2832.

60. Desachy G, Croen LA, Torres AR, Kharrazi M, Delorenze GN, Windham GC, et al. Increased female autosomal burden of rare copy number variants in human populations and in autism families. Mol Psychiatry. 2015;20(2):170-5. doi: 10.1038/mp.2014.179

61. Di Napoli A, Warrier V, Baron-Cohen S, Chakrabarti B. Genetic variant rs17225178 in the ARNT2 gene is associated with Asperger syndrome. Mol Autism. 2015;6:9. doi: 10.1186/s13229-015-0009-0

62. Kilpinen H, Ylisaukko-Oja T, Hennah W, Palo OM, Varilo T, Vanhala R, et al. Association of DISC1 with autism and Asperger syndrome. Mol Psychiatry. 2008;13(2):187-96.

63. Tropeano M, Ahn JW, Dobson RJ, Breen G, Rucker J, Dixit A, et al. Male-biased autosomal effect of 16p13.11 copy number variation in neurodevelopmental disorders. PLoS One. 2013;8(4):e61365. doi: 10.1371/journal.pone.0061365

64. Sato D, Lionel AC, Leblond CS, Prasad A, Pinto D, Walker S, et al. SHANK1 deletions in males with autism spectrum disorder. Am J of Hum Genet. 2012;90(5):879-87. doi: 10.1016/j.ajhg.2012.03.017

65. Sungur AÖ, Jochner MCE, Harb H, Kiliç A, Garn H, Schwarting RKW, et al. Aberrant cognitive phenotypes and altered hippocampal BDNF expression related to epigenetic modifications in mice lacking the post-synaptic scaffolding protein SHANK1: implications for autism spectrum disorder. Hippocampus. 2017;27(8):906-19. doi: 10.1002/hipo.22741

66. Kirkovski M, Enticott PG, Fitzgerald PB. A review of the role of female gender in autism spectrum disorders. J Autism Dev Disord. 2013;43(11):2584-603. doi: 10.1007/s10803-013-1811-1

67. Chaste P, Betancur C, Gérard-Blanluet M, Bargiacchi A, Kuzbari S, Drunat S, et al. High-functioning autism spectrum disorder and fragile X syndrome: report of two affected sisters. Mol Autism. 2012;3(1):5. doi: 10.1186/2040-2392-3-5

68. Loke H, Harley V, Lee J. Biological factors underlying sex differences in neurological disorders. Int J of Biochem Cell Biol. 2015;65:139-50. doi: 10.1016/j.biocel.2015.05.024

69. Auyeung B, Baron-Cohen S, Ashwin E, Knickmeyer R, Taylor K, Hackett G. Fetal testosterone and autistic traits. Br J of Clin Psychol. 2009;100(Pt 1):1-22. doi: 10.1348/000712608X311731

70. Knickmeyer RC, Baron-Cohen S. Fetal testosterone and sex differences in typical social development and in autism. J Child Neurol. 2006;21(10):825-45.

71. Baron-Cohen S, Auyeung B, Nørgaard-Pedersen B, Hougaard DM, Abdallah MW, Melgaard L, et al. Elevated fetal steroidogenic activity in autism. Mol Psychiatry. 2015;20(3):369-76. doi: 10.1038/mp.2014.48

72. Ruta L, Ingudomnukul E, Taylor K, Chakrabarti B, Baron-Cohen S. Increased serum androstenedione in adults with autism spectrum conditions. Psychoneuroendocrinology. 2011;36(8):1154-63. doi: 10.1016/j.psyneuen.2011.02.007

73. Schwarz E, Guest PC, Rahmoune H, Wang L, Levin Y, Ingudomnukul E, et al. Sex-specific serum biomarker patterns in adults with Asperger’s syndrome. Mol Psychiatry. 2011;16(12):1213-20. doi: 10.1038/mp.2010.102

74. Steeb H, Ramsey JM, Guest PC, Stocki P, Cooper JD, Rahmoune H, et al. Serum proteomic analysis identifies sex-specific differences in lipid metabolism and inflammation profiles in adults diagnosed with Asperger syndrome. Mol Autism. 2014;5(1):4. doi:10.1186/2040-2392-5-4

75. Lai MC, Lerch JP, Floris DL, Ruigrok AN, Pohl A, Lombardo MV, et al. Imaging sex/gender and autism in the brain: etiological implications. J Neuroscience Res. 2017;95(1-2):380-397. doi: 10.1002/jnr.23948

76. Lai MC, Lombardo MV, Suckling J, Ruigrok AN, Chakrabarti B, Ecker C, et al. Biological sex affects the neurobiology of autism. Brain. 2013;136(9):2799-2815. doi: 10.1093/brain/awt216

77. Retico A, Giuliano A, Tancredi R, Cosenza A, Apicella F, Narzisi A, et al. The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study. Mol Autism. 2016;7:5. doi: 10.1186/s13229-015-0067-3

78. Greenberg DM, Warrier V, Allison C, Baron-Cohen S. Testing the empathizing-systemizing theory of sex differences and the extreme male brain theory of autism in half a million people. Proc the Natl Acad Sci USA. 2018;115(48):12152-12157. doi: 10.1073/pnas.1811032115

79. Ecker C, Andrews DS, Gudbrandsen CM, Marquand AF, Ginestet CE, Daly EM, et al. Association between the probability of autism spectrum disorder and normative sex-related phenotypic diversity in brain structure. JAMA Psychiatry. 2017;74(4):329-38. doi: 10.1001/jamapsychiatry.2016.3990

80. Zeestraten EA, Gudbrandsen MC, Daly E, de Schotten MT, Catani M, Dell’Acqua F, et al. Sex differences in frontal lobe connectivity in adults with autism spectrum conditions. Transl Psychiatry. 2017;7(4):e1090. doi: 10.1038/tp.2017.9

81. Kirkovski M, Enticott PG, Maller JJ, Rossell SL, Fitzgerald PB. Diffusion tensor imaging reveals no white matter impairments among adults with autism spectrum disorder. Psychiatry Res. 2015;233(1):64-72. doi: 10.1016/j.pscychresns.2015.05.003

82. Beacher FD, Radulescu E, Minati L, Baron-Cohen S, Lombardo MV, Lai MC, et al. Sex differences and autism: brain function during verbal fluency and mental rotation. PLoS One. 2012;7(6):e38355. doi: 10.1371/journal.pone.0038355

83. Kirkovski M, Enticott PG, Hughes ME, Rossell SL, Fitzgerald PB. Atypical neural activity in males but not females with autism spectrum disorder. J Autism Dev Disord. 2016;46(3):954-63. doi: 10.1007/s10803-015-2639-7

84. Werling DM, Geschwind DH. Sex differences in autism spectrum disorders. Curr Opin Neurol. 2013;26(2):146-153. doi: 10.1097/WCO.0b013e32835ee548

85. Pilowsky T, Yirmiya N, Shulman C, Dover R. The autism diagnostic interview revised and the childhood autism rating scale: differences between diagnostic systems and comparison between genders. J Atten Disord. 1998;28:143-51.

86. Mandic-Maravic V, Pejovic-Milovancevic M, Mitkovic-Voncina M, Kostic M, Aleksic-Hil O, Radosavljev-Kircanski J, et al. Sex differences in autism spectrum disorders: does sex moderate the pathway from clinical symptoms to adaptive behavior? Sci Rep. 2015;5:10418.

87. Bargiela S, Steward R, Mandy W. The experiences of late-diagnosed women with autism spectrum conditions: an investigation of the female autism phenotype. J Autism Dev Disord. 2016;46:3281-94.

88. Oswald TM, Winter-Messiers MA, Gibson B, Schmidt AM, Herr CM, Solomon M. Sex differences in internalizing problems during adolescence in autism spectrum disorder. J Autism Dev Disord. 2016;46(2):624-36.

89. Jamison R, Bishop SL, Huerta M, Halladay AK. The clinician perspective on sex differences in autism spectrum disorders. Autism. 2017; 21:772-84. doi: 10.1177/1362361316681481

90. May T, Cornish K, Rinehart NJ. Gender profiles of behavioral attention in children with autism spectrum disorder. J Atten Disord. 2016;20(7):627-635. doi: 10.1177/1087054712455502

91. Hayward SM, McVilly KR, Stokes MA. Challenges for females with high functioning autism in the workplace: a systematic review. Disabil Rehabil. 2016;40(3):249-258. doi: 10.1080/09638288.2016.1254284

92. Cookson S. My own home: journey to independence. Housing, care and support. 2009;12:36-37.

93. Baldwin S, Costley D. The experiences and needs of female adults with high-functioning autism spectrum disorder. Autism. 2016;20(4):483-95. doi: 10.1177/1362361315590805

94. Pecora LA, Mesibov GB, Stokes MA. Sexuality in high-functioning autism: a systematic review and meta-analysis. J Autism Dev Disord. 2016;46(11):3519-56.

95. Byers ES, Nichols S, Voyer SD. Challenging stereotypes: sexual functioning of single adults with high functioning autism spectrum disorder. J Autism Dev Disord. 2013;43(11):2617-27.

96. Schöttle D, Briken P, Tüscher O, Turner D. Sexuality in autism: hypersexual and paraphilic behavior in women and men with high-functioning autism spectrum disorder. Dialogues Clin Neurosci. 2017;19(4):381.

97. Ousley OY, Mesibov GB. Sexual attitudes and knowledge of high-functioning adolescents and adults with autism. J Autism Dev Disord. 1991;21(4):471-81.

Acknowledgments
This project received funding from the Ministry of Health Project 2S57: I disturbi dello spettro autistico: attività previste dal decreto ministeriale del 30.12.2016 and the Ministry of Health - Network Project NET-2013-02355263 - Italian autism spectrum disorders network: filling the gaps in the national health system care.

Conflict of interest statement: the Authors declare no conflicts of interest.

Correspondence to:

Maria Luisa Scattoni

Italian National Istitute of Health

Research Coordination and Support Service

Viale Regina Elena 299

00161 Rome, Italy

email marialuisa.scattoni@iss.it