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1.
Int J Eat Disord ; 54(4): 492-505, 2021 04.
Article in English | MEDLINE | ID: mdl-33382143

ABSTRACT

OBJECTIVE: Binge-eating disorder (BED) was established as a diagnosis in 2013 with the DSM-5 and has been included in the ICD-11 in 2018. In adulthood, BED is prevalent and correlated with somatic and mental health problems. Less is known about BED in adolescence, although this age period could represent a window of opportunity for early intervention. This study aimed to investigate the 1-year prevalence, correlates, and impact of BED symptoms in a community sample of adolescents. METHOD: We included 1,404 girls and 1,105 boys from the 16-years-follow-up of the Copenhagen Child Cohort study, CCC2000. The adolescents self-reported on BED symptoms, weight-status, body perception, mental health problems, and self-rated impact of food and weight-related thoughts and behaviors. Information about socio-economic factors and hospital diagnosed psychiatric disorders were obtained from national registries. RESULTS: A total of 8.5% reported weekly overeating with loss of control (10.9% of girls, 4.8% of boys), and 2.6% (3.6% of girls, 1.2% of boys) reported symptoms consistent with BED according to the DSM-5. Regardless of sex, BED was correlated with concurrent overweight, body-dissatisfaction, low self-esteem, and mental health problems, especially emotional, but also with problems of behavior, inattention, and peer-relations, and with high self-rated impact on everyday life. Immigrant background and lower socio-economy were potential risk factors for BED in boys in this sample. DISCUSSION: BED was prevalent and correlated with mental health problems and overall impact among adolescents in this community sample, indicating the need for clinical attention and intervention towards binge-eating disorder in the adolescent period.


Subject(s)
Binge-Eating Disorder , Adolescent , Binge-Eating Disorder/diagnosis , Binge-Eating Disorder/epidemiology , Cohort Studies , Denmark/epidemiology , Female , Humans , Male , Prevalence , Self Report
2.
Eur Child Adolesc Psychiatry ; 30(8): 1251-1262, 2021 Aug.
Article in English | MEDLINE | ID: mdl-32815033

ABSTRACT

The epidemiology of mental disorders in early childhood is still under-researched. We aim to explore the incidence, comorbidities and risk factors of mental disorders in 0-3-year-olds referred to hospital settings. In a national cohort of 918,280 children born in 1997-2010, we calculated incidence rates per 1,000 person-years (IR) of first-time mental and developmental disorders diagnosed in hospitals before four years of age. Data were obtained from Danish population registries. We used logistic regression to analyse co-morbidity and Cox proportional hazard models to evaluate the influence of pre- and perinatal risk factors. A total of 16,164 children (1.76%) were diagnosed with a mental (0.90%) or developmental disorder (1.05%). Pervasive developmental disorders (PDD) and disorders of hyperactivity and inattention (ADHD) were increasingly diagnosed with age. Feeding and eating disorders and disorders of social functioning were most frequent among the youngest children. Comorbidity was found in 18%, e.g., between PDD and ADHD (OR 135.8; 95% CI 112.0-164.7) or between ADHD and disorders of social functioning (OR 148.0; 95% CI 106.4-205.7). Young maternal age, old paternal age, maternal smoking in pregnancy, boy sex, premature birth and being small for gestational age were associated with highly increased risk of mental and developmental disorders. Mental and developmental disorders diagnosed within the first four years of life show increasing incidence rates and a complex pattern of comorbidities. Study findings point to the need of clinical and research attention towards the manifestations of developmental psychopathology in very young children.


Subject(s)
Attention Deficit Disorder with Hyperactivity , Autism Spectrum Disorder , Child Development Disorders, Pervasive , Mental Disorders , Adult , Attention Deficit Disorder with Hyperactivity/epidemiology , Child , Child, Preschool , Comorbidity , Female , Humans , Incidence , Male , Mental Disorders/epidemiology , Pregnancy , Risk Factors , Young Adult
3.
BMJ Open ; 7(9): e017172, 2017 09 18.
Article in English | MEDLINE | ID: mdl-28928194

ABSTRACT

OBJECTIVES: Employing national registers for research purposes depends on a high diagnostic validity. The aim of the present study was to examine the diagnostic validity of recorded diagnoses of early-onset obsessive-compulsive disorder (OCD) in the Danish Psychiatric Central Register (DPCR). DESIGN: Review of patient journals selected randomly through the DPCR. METHOD: One hundred cases of OCD were randomly selected from DPCR. Using a predefined coding scheme based on the Children's Yale Brown Obsessive Compulsive Scale (CYBOCS), experienced research nurse or child and adolescent psychiatrists assessed each journal to determine the presence/absence of OCD diagnostic criteria. The detailed assessments were reviewed by two senior child and adolescent psychiatrists to determine if diagnostic criteria were met. PRIMARY OUTCOME MEASUREMENTS: Positive predictive value (PPV) was used as the primary outcome measurement. RESULTS: A total of 3462 children/adolescents received an OCD diagnosis as the main diagnosis between 1 January 1995 and 31 December 2015. The average age at diagnosis was 13.21±2.89 years. The most frequent registered OCD subcode was the combined diagnosis DF42.2. Of the 100 cases we examined, 35 had at least one registered comorbidity. For OCD, the PPV was good (PPV 0.85). Excluding journals with insufficient information, the PPV was 0.96. For the subcode F42.2 the PPV was 0.77. The inter-rater reliability was 0.94. The presence of the CYBOCS in the journal significantly increased the PPV for the OCD diagnosis altogether and for the subcode DF42.2. CONCLUSION: The validity and reliability of International Classification of Disease 10th revision codes for OCD in the DPCR is generally high. The subcodes for predominant obsessions/predominant compulsions are less certain and should be used with caution. The results apply for both children and adolescents and for both older and more recent cases. Altogether, the study suggests that there is a high validity of the OCD diagnosis in the Danish National Registers.


Subject(s)
Obsessive-Compulsive Disorder/diagnosis , Registries , Adolescent , Age of Onset , Child , Compulsive Personality Disorder/diagnosis , Denmark , Female , Humans , International Classification of Diseases , Male , Medical Audit , Medical Records , Observer Variation , Obsessive Behavior/diagnosis , Predictive Value of Tests , Psychiatric Status Rating Scales
4.
Br J Psychiatry ; 206(5): 401-7, 2015 May.
Article in English | MEDLINE | ID: mdl-25657359

ABSTRACT

BACKGROUND: Clinical and population-based studies report increased prevalence of autism spectrum disorders (ASD) in individuals with anorexia nervosa and in their relatives. No nationwide study has yet been published on co-occurrence of these disorders. AIMS: To investigate comorbidity of ASD in individuals with anorexia nervosa, and aggregation of ASD and anorexia nervosa in their relatives. METHOD: In Danish registers we identified all individuals born in 1981-2008, their parents, and full and half siblings, and linked them to data on hospital admissions for psychiatric disorders. RESULTS: Risk of comorbidity of ASD in probands with anorexia nervosa and aggregation of ASD in families of anorexia nervosa probands were increased. However, the risk of comorbid and familial ASD did not differ significantly from comorbid and familial major depression or any psychiatric disorder in anorexia nervosa probands. CONCLUSIONS: We confirm aggregation of ASD in probands with anorexia nervosa and in their relatives; however, the relationship between anorexia nervosa and ASD appears to be non-specific.


Subject(s)
Anorexia Nervosa/epidemiology , Autism Spectrum Disorder/epidemiology , Depressive Disorder, Major/epidemiology , Family/psychology , Siblings/psychology , Adolescent , Cohort Studies , Comorbidity , Denmark/epidemiology , Female , Humans , Male , Regression Analysis , Risk Factors , Sex Distribution
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