key: cord-0819858-ymppaz7y authors: Das, Shyamanta; Ghosh, Soumitra; Bhuyan, Dhrubajyoti; Saikia, Hiranya; Goswami, Hiranya Kumar; Soren, Rupi Varsha; Bhandari, Samrat Singh title: Mental and Behavioural Disorders of Childhood and Adolescence: An Observational Study date: 2021-07-23 journal: J Adv Med Med Res DOI: 10.9734/jammr/2021/v33i1631015 sha: f6122d78e45b2f2253d84a5012fcf76e1205988d doc_id: 819858 cord_uid: ymppaz7y BACKGROUND: There is overlap of symptoms in psychiatric disorders, especially in mental and behavioural disorders of childhood and adolescence. Half of all lifetime psychiatric disorders tend to arise by age 14 years and three fourths of them arise by age 24 years. AIM: To study the various types of mental and behavioural disorders of childhood and adolescence, and to find out comorbidities within and across the types. METHODS: An observational cross-sectional study was carried out over a period of one year in the psychiatry department of a tertiary care general hospital. The psychiatric diagnoses according to the World Health Organization’s (WHO) tenth revision of the International Statistical Classification of Health and Related Problems (ICD-10) were categorised into type 1 (depression, anxiety, obsessive-compulsive disorder, and somatoform disorder), type 2 (attention-deficit/hyperactivity disorder, oppositional defiant disorder, and conduct disorder), type 3 (mental retardation, developmental disorders of speech and language, and scholastic skills, and pervasive developmental disorders). Descriptive statistics was used with frequency and percentage. RESULTS: Total sample size was 137. Children and adolescents were almost equally distributed. Boys were more than girls. Type 3 disorders were maximum. Adolescents had mostly type 1 disorders. Children had mostly type 3 disorders. Girls had almost same number of type 1 and type 3 disorders. Boys had mostly type 3 disorders. Within group comorbidity was mostly with type 3 disorders. Across group comorbidity was highest in type2-type 3 disorders. CONCLUSION: Mental and behavioural disorders in childhood and adolescence do vary according to age and sex, and their recognition will help in the early diagnosis and proper management. Mental and behavioural disorders of childhood and adolescence is a reality or is it a myth? Half of all lifetime psychiatric disorders tend to arise by age 14 years and three fourths of them arise by age 24 years [1] . It is a common observation that there is overlap of symptoms in psychiatric disorders. This is more seen, especially in mental and behavioural disorders of childhood and adolescence. For example, depression, anxiety, obsessive-compulsive disorder (OCD), and somatoform disorder have common features. Attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder also have common features. Similarly, mental retardation (MR), developmental disorders of speech and language, and scholastic skills, and pervasive developmental disorders (PDD) have common features. And finally, psychotic illnesses including the schizophrenia spectrum and mood disorders which may be unipolar or bipolar also have similar features. Therefore, in this study, we clubbed the different disorders into type 1 consisting of depression, anxiety, OCD, and somatoform disorder, type 2 consisting of ADHD, ODD, and conduct disorder, type 3 consisting of MR, developmental disorders of speech and language, and scholastic skills, and PDD, and type 4 consisting of psychotic illnesses including the schizophrenia spectrum and mood disorders which may be unipolar or bipolar. To study the various types of mental and behavioural disorders of childhood and adolescence. To find out comorbidities within and across the types. It was an observational cross-sectional study. The current study was conducted in Gauhati Medical College Hospital (GMCH), Guwahati, Assam, India. There is a 12-bedded child psychiatry unit (CPU) in GMCH with three beds for each sex in both age groups of up to 12 years and from 12 to 18 years. Also, there is the Child Guidance Clinic (CGC) within the out-patient department (OPD) of psychiatry. CPU and CGC of GMCH were the locations for the present study. The study was conducted over a period of one year from 7 September 2018 to 6 September 2019. Children and adolescents who were admitted in CPU and who attended CGC with an accompanying guardian giving written informed consent constituted the study participants. Both demographic and clinical variables were studied. Demographic variables included age and sex. Clinical variables were the diagnoses according to the World Health Organization's (WHO) tenth revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) [2] . The ICD-10 [2] diagnoses were categorised into type 1, type 2, type 3, and type 4. Within group and across groups comorbidities were noted. Diagnoses and comorbidities were analysed in relation to the demographic variables of age and sex. Sources of data: Proformas of patients admitted in CPU and attending CGC were the sources of data. Tools: Tools for the study were the demographic and clinical proformas, as well as ICD-10 [2] . Admitted patients in CPU and those attending CGC with their ascent wherever applicable and accompanied by a guardian who gave written informed consent over the study period were assessed and diagnosed according to ICD-10 [2] . Their demographic and clinical data were entered in the respective proformas prepared for the present study. The ICD-10 diagnoses were categorised into type 1, type 2, type 3, and type 4. Within group and across groups comorbidities were noted. Diagnoses and comorbidities were analysed by descriptive statistics in relation to the demographic variables. From the National Mental Health Survey of India, [3] prevalence of mental health disorders in childhood and adolescence is 7.3%. So, considering this with five per cent absolute error (using formula = (Z (1-α)/2 ) 2 P(1-P)/d 2 ), the calculated sample size was 104. We have 104 as the minimum sample size but keeping the upper limit open till the study period. Total sample size was 137. Girls were more below 12 years while boys weremore in the 12 to 18 years age group (Fig. 1) . Most of the children and adolescent were having type 3 disorders, followed by type 1 and type 2 disorders (Fig. 2) . While majority had type 3 disorders below 12 years, type 1 disorders were highest in the 12 to 18 years age group ( Table 2) . Type 1 and type 3 disorders were almost equally distributed among girls, while boys predominantly had type 3 disorders (Table 3) . Within group comorbidity was maximum with type 3 disorders (Table 4 ). Across group comorbidity was found mostly in type 2-type 3 disorders (Table 5 ). We studied 137 children and adolescents having mental and behavioural disorders attending the psychiatry department of a tertiary care general hospital over a period of one year. In child psychiatry, developmental psychopathology contributed epidemiological data like age and sex as typical validating criteria. 'Childhood psychosis' was earlier considered a single entity. Evidence regarding age led to autism and schizophrenia being validated as two separate and distinct disorders. Similarly, sex determined the distinction between disruptive disorders and emotional disorders. Disruptive disorders are common in boys and emotional disorders in girls [4] . We found in girls, adolescents have more mental and behavioural disorders (<12 years : 12-18 years :: 20 : 29) while in boys, children have more mental and behavioural disorders (<12 years : 12-18 years :: 45 : 42). In children, type 3 disorders were more and in adolescents, type 1 and type 4 disorders were more while type 2 disorders were equally distributed. The United Kingdom national prevalence study found that almost one in ten children aged five to 15 years had psychiatric disorders based on ICD-10. Prevalence was higher in adolescents (11.2% at 11-15 years) than in children (8.2% at five to ten years) and in boys (11.4%) than girls (7.6%) [5, 6] . Other studies from around world usually generate prevalence rates of around 20% [7] . Internet use increased during the Coronavirus disease 2019 (COVID-19) epidemic. Dong et al [8] . enrolled 2050 participants with mean age of 12.34±4.67 years. 2.68% participants had addictive Internet use and 33.37% had problematic Internet use. Girl sex, age, depression, and stress were risks for internet addiction. Colizzi et al [9] . collected data on 114 children aged five to 15 years. Eighty three of them had neurodevelopmental disorders (NDD) and 31 were healthy controls. Boys had higher risk for NDD. Moreover, increasing level of intelligence protected from NDD. Within group comorbidity is commonplace compared to that of across group [4] . We found 30 within group comorbidity and 24 across groups comorbidity. But, there were 15 children with more than two comorbidities. Current classificatory systems, ICD-10 and the American Psychiatric Association's (APA) fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) [10] . Contain few emotional disorders for children and adolescents that are only anxiety-related. The same diagnostic criteria applied for adults for mood disorders is applied for children also. Mental and behavioural disorders in childhood and adolescence do vary according to age and sex, and their recognition will help in the early diagnosis and proper management. This will even help in keeping an eye for new approaches in childhood and adolescence mental and behavioural disorders. The sample was collected in a tertiary care hospital and thus, the findings cannot be generalised to the entire population. Table 3 . Table 5 . * Fifteen children and adolescents had more than two 'across groups' comorbidities (13 had three and two had four diagnoses); Type 1: Depression, anxiety, obsessive-compulsive disorder, and somatoform disorder; Type 2: Attention-deficit/hyperactivity disorder, oppositional defiant disorder, and conduct disorder; Type 3: Mental retardation, developmental disorders of speech and language, and scholastic skills, and pervasive developmental disorders; Type 4: schizophrenia spectrum disorders and mood disorders Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication World Health Organization. The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines. Geneva: World Health Organization prevalence, patterns and outcomes. Supported by Ministry of Health and Family Welfare, Government of India, and Implemented by National Institute of Mental Health and Neurosciences (NIMHANS) Scott SDevelopmental psychopathology and classification in childhood and adolescence Mental health of children and adolescents in Great Britain The British Child and Adolescent Mental Health Survey 1999: the prevalence of DSM-IV disorders Developmental epidemiology Internet addiction and related psychological factors among children and adolescents in China during the Coronavirus disease 2019 (COVID-19) epidemic. Front Psychiatry Investigating gait, movement, and coordination in children with neurodevelopmental disorders: is there a role for motor abnormalities in atypical neurodevelopment? American Psychiatric Association. Diagnostic and statistical manual of mental disorders manuscript; available in PMC <12 65 Boys 87Third gender 1Age-wise, the sample was almost equally distributed between those below 12 years and those in 12 to 18 years age group (Table 1) . Boys outnumbered girls.