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1.
J Pediatr ; 241: 147-153.e1, 2022 02.
Article in English | MEDLINE | ID: mdl-34571022

ABSTRACT

OBJECTIVE: To assess the odds of a psychiatric or neurodevelopmental diagnosis among youth with a diagnosis of gender dysphoria compared with matched controls in a large electronic health record dataset from 6 pediatric health systems, PEDSnet. We hypothesized that youth with gender dysphoria would have higher odds of having psychiatric and neurodevelopmental diagnoses than controls. STUDY DESIGN: All youth with a diagnosis of gender dysphoria (n = 4173 age at last visit 16.2 ± 3.4) and at least 1 outpatient encounter were extracted from the PEDSnet database and propensity-score matched on 8 variables to controls without gender dysphoria (n = 16 648, age at last visit 16.2 ± 4.8) using multivariable logistic regression. The odds of having psychiatric and neurodevelopmental diagnoses were examined using generalized estimating equations. RESULTS: Youth with gender dysphoria had higher odds of psychiatric (OR 4.0 [95% CI 3.8, 4.3] P < .0001) and neurodevelopmental diagnoses (1.9 [1.7, 2.0], P < .0001). Youth with gender dysphoria were more likely to have a diagnosis across all psychiatric disorder subcategories, with particularly high odds of mood disorder (7.3 [6.8, 7.9], P < .0001) and anxiety (5.5 [5.1, 5.9], P < .0001). Youth with gender dysphoria had a greater odds of autism spectrum disorder (2.6, [2.2, 3.0], P < .0001). CONCLUSIONS: Youth with gender dysphoria at large pediatric health systems have greater odds of psychiatric and several neurodevelopmental diagnoses compared with youth without gender dysphoria. Further studies are needed to evaluate changes in mental health over time with access to gender affirming care.


Subject(s)
Anxiety/etiology , Gender Dysphoria/complications , Mood Disorders/etiology , Neurodevelopmental Disorders/etiology , Adolescent , Anxiety/epidemiology , Case-Control Studies , Child , Female , Gender Dysphoria/psychology , Humans , Logistic Models , Male , Mood Disorders/epidemiology , Neurodevelopmental Disorders/epidemiology , Odds Ratio , Propensity Score , Risk Factors , Young Adult
2.
J Pediatr ; 239: 175-181.e2, 2021 12.
Article in English | MEDLINE | ID: mdl-34461062

ABSTRACT

OBJECTIVE: To evaluate the odds of a behavioral health diagnosis among youth with differences of sex development (DSD) or congenital adrenal hyperplasia (CAH) compared with matched controls in the PEDSnet database. STUDY DESIGN: All youth with a diagnosis of DSD (n = 1216) or CAH (n = 1647) and at least 1 outpatient encounter were extracted from the PEDSnet database and propensity-score matched on 8 variables (1:4) with controls (n = 4864 and 6588, respectively) using multivariable logistic regression. The likelihood of having behavioral health diagnoses was examined using generalized estimating equations. RESULTS: Youth with DSD had higher odds of a behavioral health diagnosis (OR, 1.7; 95% CI, 1.4-2.1; P < .0001) and neurodevelopmental diagnosis (OR, 1.7; 95% CI, 1.4, 2.0; P < .0001) compared with matched controls. Youth with CAH did not have an increased odds of a behavioral health diagnosis (OR, 1.0; 95% CI, 0.9, 1.1; P = .9) compared with matched controls but did have higher odds of developmental delay (OR, 1.8; 95% CI, 1.4, 2.4; P < .0001). CONCLUSIONS: Youth with DSD diagnosis have higher odds of a behavioral health or neurodevelopmental diagnosis compared with matched controls. Youth with CAH have higher odds of developmental delay, highlighting the need for screening in both groups.


Subject(s)
Adrenal Hyperplasia, Congenital/psychology , Disorders of Sex Development/psychology , Mental Disorders/etiology , Adolescent , Adrenal Hyperplasia, Congenital/complications , Case-Control Studies , Child , Child Behavior Disorders/diagnosis , Child Behavior Disorders/epidemiology , Child Behavior Disorders/etiology , Child, Preschool , Databases, Factual , Developmental Disabilities/diagnosis , Developmental Disabilities/epidemiology , Developmental Disabilities/etiology , Disorders of Sex Development/complications , Electronic Health Records , Female , Humans , Infant , Infant, Newborn , Logistic Models , Male , Mental Disorders/diagnosis , Mental Disorders/epidemiology , Neurodevelopmental Disorders/diagnosis , Neurodevelopmental Disorders/epidemiology , Neurodevelopmental Disorders/etiology , Odds Ratio , Propensity Score , Risk Factors
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