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Résultat de la recherche
113 recherche sur le mot-clé 'gender'



Brief Report: Autistic Traits in Mothers and Children Associated with Child’s Gender Nonconformity / Daniel E. SHUMER in Journal of Autism and Developmental Disorders, 45-5 (May 2015)
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Titre : Brief Report: Autistic Traits in Mothers and Children Associated with Child’s Gender Nonconformity Type de document : Texte imprimé et/ou numérique Auteurs : Daniel E. SHUMER, Auteur ; Andrea L. ROBERTS, Auteur ; Sari L. REISNER, Auteur ; Kristen LYALL, Auteur ; S. Bryn AUSTIN, Auteur Article en page(s) : p.1489-1494 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Gender Gender identity Gender nonconformity Transgender Index. décimale : PER Périodiques Résumé : We examined relationships between autistic traits in children, mothers, and fathers and gender nonconformity (GNC) in children using data from the Nurses’ Health Study II and the Growing Up Today Study 1. Autistic traits of mothers, fathers and children were measured using the Social Responsiveness Scale (SRS). GNC in children was measured using questions from the Recalled Childhood Gender Identity/Gender Role Questionnaire. In multivariable analyses increase in child’s SRS score was associated with increased odds (OR 1.35; p = 0.03) of being in a higher GNC category. Increase in maternal SRS score was also associated with increased odds (OR 1.46; p = 0.005) of the child being in a higher GNC category. Paternal SRS scores were not related to child’s GNC category. En ligne : http://dx.doi.org/10.1007/s10803-014-2292-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1489-1494[article] Brief Report: Autistic Traits in Mothers and Children Associated with Child’s Gender Nonconformity [Texte imprimé et/ou numérique] / Daniel E. SHUMER, Auteur ; Andrea L. ROBERTS, Auteur ; Sari L. REISNER, Auteur ; Kristen LYALL, Auteur ; S. Bryn AUSTIN, Auteur . - p.1489-1494.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1489-1494
Mots-clés : Autism spectrum disorder Gender Gender identity Gender nonconformity Transgender Index. décimale : PER Périodiques Résumé : We examined relationships between autistic traits in children, mothers, and fathers and gender nonconformity (GNC) in children using data from the Nurses’ Health Study II and the Growing Up Today Study 1. Autistic traits of mothers, fathers and children were measured using the Social Responsiveness Scale (SRS). GNC in children was measured using questions from the Recalled Childhood Gender Identity/Gender Role Questionnaire. In multivariable analyses increase in child’s SRS score was associated with increased odds (OR 1.35; p = 0.03) of being in a higher GNC category. Increase in maternal SRS score was also associated with increased odds (OR 1.46; p = 0.005) of the child being in a higher GNC category. Paternal SRS scores were not related to child’s GNC category. En ligne : http://dx.doi.org/10.1007/s10803-014-2292-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 Gender and Age Differences in the Core Triad of Impairments in Autism Spectrum Disorders: A Systematic Review and Meta-analysis / Patricia J. M. WIJNGAARDEN-CREMERS in Journal of Autism and Developmental Disorders, 44-3 (March 2014)
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Titre : Gender and Age Differences in the Core Triad of Impairments in Autism Spectrum Disorders: A Systematic Review and Meta-analysis Type de document : Texte imprimé et/ou numérique Auteurs : Patricia J. M. WIJNGAARDEN-CREMERS, Auteur ; Evelien EETEN, Auteur ; Wouter B. GROEN, Auteur ; Patricia A. DEURZEN, Auteur ; Iris J. OOSTERLING, Auteur ; Rutger Jan VAN DER GAAG, Auteur Article en page(s) : p.627-635 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Gender Age Index. décimale : PER Périodiques Résumé : Autism is an extensively studied disorder in which the gender disparity in prevalence has received much attention. In contrast, only a few studies examine gender differences in symptomatology. This systematic review and meta-analysis of 22 peer reviewed original publications examines gender differences in the core triad of impairments in autism. Gender differences were transformed and concatenated using standardized mean differences, and analyses were stratified in five age categories (toddlerhood, preschool children, childhood, adolescence, young adulthood). Boys showed more repetitive and stereotyped behavior as from the age of six, but not below the age of six. Males and females did not differ in the domain of social behavior and communication. There is an underrepresentation of females with ASD an average to high intelligence. Females could present another autistic phenotype than males. As ASD is now defined according to the male phenotype this could imply that there is an ascertainment bias. More research is needed into the female phenotype of ASD with development of appropriate instruments to detect and ascertain them. En ligne : http://dx.doi.org/10.1007/s10803-013-1913-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=225
in Journal of Autism and Developmental Disorders > 44-3 (March 2014) . - p.627-635[article] Gender and Age Differences in the Core Triad of Impairments in Autism Spectrum Disorders: A Systematic Review and Meta-analysis [Texte imprimé et/ou numérique] / Patricia J. M. WIJNGAARDEN-CREMERS, Auteur ; Evelien EETEN, Auteur ; Wouter B. GROEN, Auteur ; Patricia A. DEURZEN, Auteur ; Iris J. OOSTERLING, Auteur ; Rutger Jan VAN DER GAAG, Auteur . - p.627-635.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 44-3 (March 2014) . - p.627-635
Mots-clés : Autism spectrum disorder Gender Age Index. décimale : PER Périodiques Résumé : Autism is an extensively studied disorder in which the gender disparity in prevalence has received much attention. In contrast, only a few studies examine gender differences in symptomatology. This systematic review and meta-analysis of 22 peer reviewed original publications examines gender differences in the core triad of impairments in autism. Gender differences were transformed and concatenated using standardized mean differences, and analyses were stratified in five age categories (toddlerhood, preschool children, childhood, adolescence, young adulthood). Boys showed more repetitive and stereotyped behavior as from the age of six, but not below the age of six. Males and females did not differ in the domain of social behavior and communication. There is an underrepresentation of females with ASD an average to high intelligence. Females could present another autistic phenotype than males. As ASD is now defined according to the male phenotype this could imply that there is an ascertainment bias. More research is needed into the female phenotype of ASD with development of appropriate instruments to detect and ascertain them. En ligne : http://dx.doi.org/10.1007/s10803-013-1913-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=225 Gender, assigned sex at birth, and gender diversity: Windows into diagnostic timing disparities in autism / Goldie A. MCQUAID in Autism, 28-11 (November 2024)
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Titre : Gender, assigned sex at birth, and gender diversity: Windows into diagnostic timing disparities in autism Type de document : Texte imprimé et/ou numérique Auteurs : Goldie A. MCQUAID, Auteur ; Allison B. RATTO, Auteur ; Allison JACK, Auteur ; Alexis KHUU, Auteur ; Jessica V. SMITH, Auteur ; Sean C. DUANE, Auteur ; Ann CLAWSON, Auteur ; Nancy Raitano LEE, Auteur ; Alyssa VERBALIS, Auteur ; Kevin A. PELPHREY, Auteur ; Lauren KENWORTHY, Auteur ; Gregory L. WALLACE, Auteur ; John F. STRANG, Auteur Article en page(s) : p.2806 - 2820 Langues : Anglais (eng) Mots-clés : age at diagnosis autism diagnosis gender sex Index. décimale : PER Périodiques Résumé : Later autism diagnosis is associated with increased mental health risks. Understanding disparities in diagnostic timing is important to reduce psychiatric burden for autistic people. One characteristic associated with later autism diagnosis is female sex assigned at birth. However, literature to date does not characterize, differentiate, or account for gender identity beyond assigned sex at birth. Gender diversity may be more common in autistic relative to neurotypical people, and autism is proportionally overrepresented in gender-diverse populations. We examined age at autism diagnosis by assigned sex at birth, gender identity, and gender diversity (gender-diverse vs cisgender) status, separately. Three independent cohorts representing different ascertainments were examined: a research-recruited academic medical center sample (N = 193; 8.0 - 18.0?years); a clinic-based sample (N = 1550; 1.3 - 25.4?years); and a community-enriched sample (N = 244, 18.2 - 30.0?years). The clinic-based and community-enriched samples revealed disparities in diagnostic timing: people assigned female at birth, people of female gender, and gender-diverse people were diagnosed with autism significantly later than persons assigned male at birth, persons of male gender, and cisgender persons, respectively. Birth-sex, gender identity, and gender diversity may each uniquely relate to disparities in autism diagnostic timing. The influence of ascertainment strategies, particularly in studies examining assigned sex at birth or gender identity, should be considered. Lay Abstract Later autism diagnosis is associated with risk for mental health problems. Understanding factors related to later autism diagnosis may help reduce mental health risks for autistic people. One characteristic associated with later autism diagnosis is female sex. However, studies often do not distinguish sex assigned at birth and gender identity. Gender diversity may be more common in autistic relative to neurotypical people, and autism is more common in gender-diverse populations. We studied age at autism diagnosis by sex assigned at birth, gender identity, and gender diversity (gender-diverse vs cisgender) status, separately. We studied three separate autistic samples, each of which differed in how they were diagnosed and how they were recruited. The samples included 193 persons (8.0 - 18.0?years) from a research-recruited academic medical center sample; 1,550 people (1.3 - 25.4?years) from a clinic-based sample; and 244 people (18.2 - 30.0?years) from a community-enriched sample. We found significant differences in the clinic-based and community-enriched samples. People assigned female sex at birth were diagnosed with autism significantly later than people assigned male at birth. People of female gender were diagnosed significantly later than people of male gender. Gender-diverse people were diagnosed significantly later than cisgender people. Sex assigned at birth, gender identity, and gender diversity may each show unique relationships with age of autism diagnosis. Differences in how autistic people are diagnosed and recruited are important to consider in studies that examine sex assigned at birth or gender identity. More research into autism diagnosis in adulthood is needed. En ligne : https://dx.doi.org/10.1177/13623613241243117 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537
in Autism > 28-11 (November 2024) . - p.2806 - 2820[article] Gender, assigned sex at birth, and gender diversity: Windows into diagnostic timing disparities in autism [Texte imprimé et/ou numérique] / Goldie A. MCQUAID, Auteur ; Allison B. RATTO, Auteur ; Allison JACK, Auteur ; Alexis KHUU, Auteur ; Jessica V. SMITH, Auteur ; Sean C. DUANE, Auteur ; Ann CLAWSON, Auteur ; Nancy Raitano LEE, Auteur ; Alyssa VERBALIS, Auteur ; Kevin A. PELPHREY, Auteur ; Lauren KENWORTHY, Auteur ; Gregory L. WALLACE, Auteur ; John F. STRANG, Auteur . - p.2806 - 2820.
Langues : Anglais (eng)
in Autism > 28-11 (November 2024) . - p.2806 - 2820
Mots-clés : age at diagnosis autism diagnosis gender sex Index. décimale : PER Périodiques Résumé : Later autism diagnosis is associated with increased mental health risks. Understanding disparities in diagnostic timing is important to reduce psychiatric burden for autistic people. One characteristic associated with later autism diagnosis is female sex assigned at birth. However, literature to date does not characterize, differentiate, or account for gender identity beyond assigned sex at birth. Gender diversity may be more common in autistic relative to neurotypical people, and autism is proportionally overrepresented in gender-diverse populations. We examined age at autism diagnosis by assigned sex at birth, gender identity, and gender diversity (gender-diverse vs cisgender) status, separately. Three independent cohorts representing different ascertainments were examined: a research-recruited academic medical center sample (N = 193; 8.0 - 18.0?years); a clinic-based sample (N = 1550; 1.3 - 25.4?years); and a community-enriched sample (N = 244, 18.2 - 30.0?years). The clinic-based and community-enriched samples revealed disparities in diagnostic timing: people assigned female at birth, people of female gender, and gender-diverse people were diagnosed with autism significantly later than persons assigned male at birth, persons of male gender, and cisgender persons, respectively. Birth-sex, gender identity, and gender diversity may each uniquely relate to disparities in autism diagnostic timing. The influence of ascertainment strategies, particularly in studies examining assigned sex at birth or gender identity, should be considered. Lay Abstract Later autism diagnosis is associated with risk for mental health problems. Understanding factors related to later autism diagnosis may help reduce mental health risks for autistic people. One characteristic associated with later autism diagnosis is female sex. However, studies often do not distinguish sex assigned at birth and gender identity. Gender diversity may be more common in autistic relative to neurotypical people, and autism is more common in gender-diverse populations. We studied age at autism diagnosis by sex assigned at birth, gender identity, and gender diversity (gender-diverse vs cisgender) status, separately. We studied three separate autistic samples, each of which differed in how they were diagnosed and how they were recruited. The samples included 193 persons (8.0 - 18.0?years) from a research-recruited academic medical center sample; 1,550 people (1.3 - 25.4?years) from a clinic-based sample; and 244 people (18.2 - 30.0?years) from a community-enriched sample. We found significant differences in the clinic-based and community-enriched samples. People assigned female sex at birth were diagnosed with autism significantly later than people assigned male at birth. People of female gender were diagnosed significantly later than people of male gender. Gender-diverse people were diagnosed significantly later than cisgender people. Sex assigned at birth, gender identity, and gender diversity may each show unique relationships with age of autism diagnosis. Differences in how autistic people are diagnosed and recruited are important to consider in studies that examine sex assigned at birth or gender identity. More research into autism diagnosis in adulthood is needed. En ligne : https://dx.doi.org/10.1177/13623613241243117 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 Gender-based differential item functioning on the child behavior checklist in youth on the autism spectrum: A brief report / Hillary K. SCHILTZ in Research in Autism Spectrum Disorders, 79 (November 2020)
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Titre : Gender-based differential item functioning on the child behavior checklist in youth on the autism spectrum: A brief report Type de document : Texte imprimé et/ou numérique Auteurs : Hillary K. SCHILTZ, Auteur ; Brooke E. MAGNUS, Auteur Article en page(s) : 101669 Langues : Anglais (eng) Mots-clés : Differential item Functioning Autism Co-occurring symptoms Child behavior checklist Females Gender Index. décimale : PER Périodiques Résumé : Background Given the call for gender-informed autism research (Mandy & Lai, 2017), understanding the presentation and measurement of commonly co-occurring behavioral and emotional concerns among males and females on the autism spectrum is paramount. The validity of conclusions in this area of research necessitates that questionnaires capture true differences in constructs rather than systematic gender-based differences in measurement, an assumption which may be violated due to differential item functioning (DIF). Method In the present study, caregiver-report data on the Child Behavior Checklist (CBCL) (N = 502) were gathered across multiple studies from the National Database for Autism Research (NDAR), an NIH-funded data repository. Results Confirmatory factor analysis initially revealed poor to acceptable fit across subscales, suggesting a lack of unidimensionality. Fit was acceptable on all subscales following modifications for low factor loadings or highly correlated residuals. Multiple indicator multiple cause (MIMIC) models indicated that the majority of items did not show substantial DIF, with no items flagged for gender-based DIF on the Attention Problems, Withdrawn/Depressed, and Somatic Problems subscales. Items were flagged for gender-based DIF, however, on the Social Problems, Anxious/ Depressed, Aggressive Behavior, and Thought Problems subscales. Conclusions These findings indicate that few items on a measure of emotional and behavioral problems (Child Behavior Checklist; CBCL) function differently for male and female youth on the autism spectrum. This study has implications for future autism research aiming to accurately capture co-occurring emotional or behavioral problems and examine the etiology, trajectory, and ultimately treatment for males and females on the autism spectrum. En ligne : https://doi.org/10.1016/j.rasd.2020.101669 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101669[article] Gender-based differential item functioning on the child behavior checklist in youth on the autism spectrum: A brief report [Texte imprimé et/ou numérique] / Hillary K. SCHILTZ, Auteur ; Brooke E. MAGNUS, Auteur . - 101669.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101669
Mots-clés : Differential item Functioning Autism Co-occurring symptoms Child behavior checklist Females Gender Index. décimale : PER Périodiques Résumé : Background Given the call for gender-informed autism research (Mandy & Lai, 2017), understanding the presentation and measurement of commonly co-occurring behavioral and emotional concerns among males and females on the autism spectrum is paramount. The validity of conclusions in this area of research necessitates that questionnaires capture true differences in constructs rather than systematic gender-based differences in measurement, an assumption which may be violated due to differential item functioning (DIF). Method In the present study, caregiver-report data on the Child Behavior Checklist (CBCL) (N = 502) were gathered across multiple studies from the National Database for Autism Research (NDAR), an NIH-funded data repository. Results Confirmatory factor analysis initially revealed poor to acceptable fit across subscales, suggesting a lack of unidimensionality. Fit was acceptable on all subscales following modifications for low factor loadings or highly correlated residuals. Multiple indicator multiple cause (MIMIC) models indicated that the majority of items did not show substantial DIF, with no items flagged for gender-based DIF on the Attention Problems, Withdrawn/Depressed, and Somatic Problems subscales. Items were flagged for gender-based DIF, however, on the Social Problems, Anxious/ Depressed, Aggressive Behavior, and Thought Problems subscales. Conclusions These findings indicate that few items on a measure of emotional and behavioral problems (Child Behavior Checklist; CBCL) function differently for male and female youth on the autism spectrum. This study has implications for future autism research aiming to accurately capture co-occurring emotional or behavioral problems and examine the etiology, trajectory, and ultimately treatment for males and females on the autism spectrum. En ligne : https://doi.org/10.1016/j.rasd.2020.101669 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 Gender differences in autism spectrum disorders: Divergence among specific core symptoms / Anita BEGGIATO in Autism Research, 10-4 (April 2017)
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Titre : Gender differences in autism spectrum disorders: Divergence among specific core symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Anita BEGGIATO, Auteur ; Hugo PEYRE, Auteur ; Anna MARUANI, Auteur ; Isabelle SCHEID, Auteur ; Maria RASTAM, Auteur ; Frédérique AMSELLEM, Auteur ; Carina I. GILLBERG, Auteur ; Marion LEBOYER, Auteur ; Thomas BOURGERON, Auteur ; Christopher GILLBERG, Auteur ; Richard DELORME, Auteur Article en page(s) : p.680-689 Langues : Anglais (eng) Mots-clés : autism spectrum disorders sex gender autism diagnosis interview-revised Index. décimale : PER Périodiques Résumé : Community-based studies have consistently shown a sex ratio heavily skewed towards males in autism spectrum disorders (ASD). The factors underlying this predominance of males are largely unknown, but the way girls score on standardized categorical diagnostic tools might account for the underrecognition of ASD in girls. Despite the existence of different norms for boys and girls with ASD on several major screening tests, the algorithm of the Autism Diagnosis Interview-Revised (ADI-R) has not been reformulated. The aim of our study was to investigate which ADI-R items discriminate between males and females, and to evaluate their weighting in the final diagnosis of autism. We then conducted discriminant analysis (DA) on a sample of 594 probands including 129 females with ASD, recruited by the Paris Autism Research International Sibpair (PARIS) Study. A replication analysis was run on an independent sample of 1716 probands including 338 females with ASD, recruited through the Autism Genetics Resource Exchange (AGRE) program. Entering the raw scores for all ADI-R items as independent variables, the DA correctly classified 78.9% of males and 72.9% of females (P?0.001) in the PARIS cohort, and 72.2% of males and 68.3% of females (P?0.0001) in the AGRE cohort. Among the items extracted by the stepwise DA, four belonged to the ADI-R algorithm used for the final diagnosis of ASD. In conclusion, several items of the ADI-R that are taken into account in the diagnosis of autism significantly differentiates between males and females. The potential gender bias thus induced may participate in the underestimation of the prevalence of ASD in females. En ligne : http://dx.doi.org/10.1002/aur.1715 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=307
in Autism Research > 10-4 (April 2017) . - p.680-689[article] Gender differences in autism spectrum disorders: Divergence among specific core symptoms [Texte imprimé et/ou numérique] / Anita BEGGIATO, Auteur ; Hugo PEYRE, Auteur ; Anna MARUANI, Auteur ; Isabelle SCHEID, Auteur ; Maria RASTAM, Auteur ; Frédérique AMSELLEM, Auteur ; Carina I. GILLBERG, Auteur ; Marion LEBOYER, Auteur ; Thomas BOURGERON, Auteur ; Christopher GILLBERG, Auteur ; Richard DELORME, Auteur . - p.680-689.
Langues : Anglais (eng)
in Autism Research > 10-4 (April 2017) . - p.680-689
Mots-clés : autism spectrum disorders sex gender autism diagnosis interview-revised Index. décimale : PER Périodiques Résumé : Community-based studies have consistently shown a sex ratio heavily skewed towards males in autism spectrum disorders (ASD). The factors underlying this predominance of males are largely unknown, but the way girls score on standardized categorical diagnostic tools might account for the underrecognition of ASD in girls. Despite the existence of different norms for boys and girls with ASD on several major screening tests, the algorithm of the Autism Diagnosis Interview-Revised (ADI-R) has not been reformulated. The aim of our study was to investigate which ADI-R items discriminate between males and females, and to evaluate their weighting in the final diagnosis of autism. We then conducted discriminant analysis (DA) on a sample of 594 probands including 129 females with ASD, recruited by the Paris Autism Research International Sibpair (PARIS) Study. A replication analysis was run on an independent sample of 1716 probands including 338 females with ASD, recruited through the Autism Genetics Resource Exchange (AGRE) program. Entering the raw scores for all ADI-R items as independent variables, the DA correctly classified 78.9% of males and 72.9% of females (P?0.001) in the PARIS cohort, and 72.2% of males and 68.3% of females (P?0.0001) in the AGRE cohort. Among the items extracted by the stepwise DA, four belonged to the ADI-R algorithm used for the final diagnosis of ASD. In conclusion, several items of the ADI-R that are taken into account in the diagnosis of autism significantly differentiates between males and females. The potential gender bias thus induced may participate in the underestimation of the prevalence of ASD in females. En ligne : http://dx.doi.org/10.1002/aur.1715 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=307 Gender differences in parent-reported age at diagnosis of children with autism spectrum disorder / Alexandra M. PETROU in Research in Autism Spectrum Disorders, 50 (June 2018)
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PermalinkGender Differences in Pragmatic Communication in School-Aged Children with Autism Spectrum Disorder (ASD) / O. CONLON in Journal of Autism and Developmental Disorders, 49-5 (May 2019)
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PermalinkGender Differences in the Social Motivation and Friendship Experiences of Autistic and Non-autistic Adolescents / Felicity SEDGEWICK in Journal of Autism and Developmental Disorders, 46-4 (April 2016)
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PermalinkGender effects on challenging behaviors in children with autism spectrum disorders / Alison M. KOZLOWSKI in Research in Autism Spectrum Disorders, 6-2 (April-June 2012)
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PermalinkGender Identity in Autism: Sex Differences in Social Affiliation with Gender Groups / Kate COOPER in Journal of Autism and Developmental Disorders, 48-12 (December 2018)
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