JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Psychiatry Section DOI : 10.7860/JCDR/2016/16375.7491
Year : 2016 | Month : Mar | Volume : 10 | Issue : 03 Full Version Page : VC05 - VC08

Clinico-Epidemiological Profile of Psychiatric Disorders Among Children in a Tertiary Care Hospital of Southern India

Savindika Chamari Nawarathna1, Sonu Hangma Subba2, Arunav Guha3

1 Former Intern, Department of Community Medicine, Kasturba Medical College, Mangalore, India.
2 PGD Family Medicine, FAIMER Fellow 2011, Additional Professor, Department of Community Medicine & Family Medicine, AIIMS, Bhubaneshwar, India.
3 Intern, Department of Community Medicine, Kasturba Medical College, Mangalore, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Savindika Chamari Nawarathna, Assam Book Depot, 2nd Floor, M.L. Nehru Road, Panbazar, Guwahati-781001, Assam, India.
E-mail: savindin1@hotmail.com
Abstract

Introduction

According to the World Health Organization (WHO), mental health disorders are one of the leading causes of disability worldwide and it is as common in children. Anywhere between one to three children may be suffering from psychiatric disorders at any point in time.

Aim

This study intended to find the pattern of psychiatric disorders and associated sociodemographic factors among children attending the psychiatric department in a tertiary care hospital in Southern India.

Materials and Methods

An analysis was conducted of patients who attended the psychiatric clinic from April 2012 to March 2013. Disorders were classified according to International Classification of Diseases, 10th edition (ICD-10) criteria. Data obtained was analysed by SPSS 11.5 version. Chi-square test was used to see association and p<0.05 was taken as significant.

Results

The mean age of the children was 10.9 years (SD=4.3). Predominance of males was noticed. It was seen that the male children, mostly suffered from Pervasive and specific developmental disorders (n=105; 31.1%). While in the female children, a prominence of anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders was seen (n=52; 27.1%). Co-morbidity of psychiatric disorders was seen with intellectual disability and a seasonal predominance of psychiatric disorders was seen during autumn.

Conclusion

Children presenting with psychiatric disorders in the hospital showed a wide age range and among them, males outnumbered females. Psychiatric disorders showed seasonal variation and the types of disorder varied significantly with age, gender and religion.

Keywords

Introduction

Child and adolescent psychiatric disorders are an upcoming problem worldwide, but many times they go unobserved by a parent, especially in a developing country like India with a total fertility rate of 2.5 [1]. As much as 12% to 29% of the children aged 5-15 years have been found to be suffering from some kind of psychiatric morbidity in different countries including India [2]. Some of the commonest disorders among children who come to the psychiatric clinic have been found to be intellectual disability, emotional disorders and somatic complaints [1,3,4]. However, in community based studies, the most common disorder has been found to be conduct disorders [5,6]. Gender predilection seems to vary in different areas so did age-wise predominance of various disorders. One of the studies in Bangalore found the commonest diagnosis among children aged less than 5 years to be hyperkinetic disorder, among 6-11 year it was hysterical neurosis and among 12-16 years it was psychosis [7]. Thereby indicating that regional differences in psychiatric morbidity are expected, making it essential to trace a pattern in every region of the country. Such awareness can help the health care personnel to be alert, thus resulting in early & correct detection and proper management. It will also aid in formulating prevention and control programmes.

Aim

Hence this study was planned to find the pattern of psychiatric disorders and associated socio-demographic factors among children in the psychiatric clinic of a tertiary care hospital in Mangalore city, India.

Materials and Methods

This analytical study was conducted in a tertiary care hospital during the period of April 2012 to March 2013 from the case records of children visiting the psychiatric department. The records contained detailed histories obtained from the patient and the parents with relevant investigations done, wherever needed. Disorders were classified according to International Classification of Diseases, 10th edition (ICD-10) criteria [8]. Data obtained was analysed by SPSS 11.5 version. Descriptive analysis was done, Chi-square test was used to see association between psychiatric disorders and socio-demographic factors, and p<0.05 was taken as statistically significant.

Results

There were a total of 530 patients who attended the psychiatry department, out of which there were 338 (63.8%) boys and 192 (36.2%) girls, most of which were referred from the paediatrics department. The mean age of the children was 10.9 years (SD=4.3) with the minimum age of 2 years and a maximum of 19 years. The socio-demographic profile of the patients showed that most of the children belonged to the age group of 10 and 12 years, were predominantly males and Hindu was the most common religion [Table/Fig-1].

Socio-demographic profile of the patients.

MaleFemaleTotal
Age group
<6years56(70.9)23 (19.1)79 (100)
6-9years86 (74.1)30 (25.9)116 (100)
10-12years91 (67.4)44 (32.6)135 (100)
13-15years66 (61.7)41 (38.3)107 (100)
16-19years39 (41.9)54 (58.1)93 (100)
Religion
Christian37 (56.9)28 (43.1)65 (100)
Hindu192 (61.5)120 (38.5)312 (100)
Muslim109 (71.2)44 (28.8)153 (100)
Total338 (63.8)192 (36.2)530 (100)

The most commonly seen disorder was specific developmental disorder of scholastic skills 15.8% (n=84) followed by intellectual disability 11.7% (n=62). Attention-deficit hyperactivity disorder was seen in 8.3% (n=44) and 7.4% (n=39) showed conduct disorder. A 13.4% (n=71) of the patients did not have specific diagnosis [Table/Fig-2].

Frequency of psychiatric morbidity according to ICD 10 classification.

ICD 10Diagnosisn%
F10-F19Mental and behavioural disorders due to psychoactive substance use
F17Nicotine dependence20.4
F20-F29Schizophrenia, schizotypal, delusional, and other non-mood psychotic disorders
F20Schizophrenia91.7
F22Delusional disorder10.2
F23Brief psychotic disorder61.1
F30-F39Mood [affective] disorders
F30Manic episode61.1
F31Bipolar disorder30.6
F32Major depressive disorder, single episode203.8
F40-F48Anxiety, dissociative, stress-related, somatoform and other nonpsychotic mental disorders
F40Phobic Anxiety disorder10.2
F41Other anxiety disorders193.6
F42Obsessive compulsive disorder214.0
F43Reaction to severe stress and adjustment disorder224.2
F44Dissociative and conversion disorder173.2
F44.5Conversion disorder with seizures/convulsions132.5
F45Somatoform disorder71.3
F50-59Behavioural syndromes associated with physiological disturbances and physical factors
F51Sleep disorder not due to substance abuse or physiological condition30.6
F60-F69Disorders of adult personality and behaviour
F60Specific personality disorder30.6
F60.3Borderline Personality disorder81.5
F65.3Voyeurism10.2
F70Intellectual disabilities
F70Intellectual disability6211.7
F80-F89Pervasive and specific developmental disorders
F80Specific developmental disorders of speech and language71.3
F81Specific developmental disorders of scholastic skills8415.8
F84Pervasive developmental disorders224.2
F84.9Pervasive developmental disorder, unspecified101.9
F90-F98Behavioural and emotional disorders with onset usually occurring in childhood and adolescence
F90Attention-deficit hyperactivity disorders448.3
F91Conduct disorder397.4
F93Emotional disorders with onset specific to childhood163.0
F95Tic disorder10.2
F98Other behavioural and emotional disorders with onset usually occurring in childhood and adolescence40.8
F98.3Pica of infancy and childhood10.2
F99Unspecified mental disorder
F99Undiagnosed7113.4
Others71.3
Total530100.0

Relationship of socio-demographic variables with Psychiatric Disorders. The study showed statistically significant association between the psychiatric disorders and factors such as age, sex, religion, seasons, number of sibling etc [Table/Fig-3,4,5 and 6].

Diagnosis according to age group.

DisorderAge (years)
<66-910-1213-15>=16Total
Anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders7(7.0)10(10.0)27(27.0)28(28.0)28(28.0)100(100)
Intellectual Disability15(24.2)17(27.4)17(27.4)7(11.3)6(9.7)62(100)
Pervasive and specific developmental disorders22(17.9)34(27.6)38(30.9)24(19.5)5(4.1)123(100)
Behavioural and emotional disorders with onset usually occurring in childhood and adolescence24(22.9)31(29.5)29(27.6)14(13.3)7(6.7)105(100)
Others0(0)5(7.2)9(13.0)22(31.9)33(47.8)69(100)
Undiagnosed11(15.5)19(26.8)15(21.1)12(16.9)14(19.7)71(100)
Total79(14.9)116(21.9)135(25.5)107(20.2)93(17.5)530(100)

χ2=126.7, p<0.001


Diagnosis according to religion.

HinduMuslimChristianTotal
Anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders72(23.1)22(14.4)6(9.2)100(18.9)
Intellectual Disability33(10.6)24(15.7)5(7.7)62(11.7)
Pervasive and specific developmental disorders71(22.8)32(20.9)20(30.8)123(23.2)
Behavioural and emotional disorders with onset usually occurring in childhood and adolescence55(17.6)39(25.5)11(16.9)105(19.8)
Others46(14.7)13(8.5)10(15.4)69(13.0)
Undiagnosed35(11.2)23(15.0)13(20.0)71(13.4)
Total312(100)153(100)65(100)530(100)

χ2=23.5, p<0.009


Diagnosis according to gender.

MaleFemaleTotal
Anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders48(14.2)52(27.1)100(18.9)
Intellectual Disability33(9.8)29(15.1)62(11.7)
Pervasive and specific developmental disorders105(31.1)18(9.4)123(23.2)
Behavioural and emotional disorders with onset usually occurring in childhood and adolescence77(22.8)28(14.6)105(19.8)
Others31(9.2)38(19.8)69(13.0)
Undiagnosed44(13.0)27(14.1)71(13.4)
Total338(100)192(100)530(100)

χ2=53.4, p<0.001


Diagnosis according to season.

SpringSummerAutumnWinterTotal
Anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders23(20.2)25(16.8)26(17.4)26(22.0)100(18.9)
Intellectual Disability8(7.0)23(15.4)23(15.4)8(6.8)62(11.7)
Pervasive and specific developmental disorders29(25.4)28(18.8)31(20.8)35(29.7)123(23.2)
Behavioural and emotional disorders with onset usually occurring in childhood and adolescence24(21.2)27(18.1)33(22.1)21(17.8)105(19.8)
Others18(15.8)17(11.4)19(12.8)15(12.7)69(13.0)
Undiagnosed12(10.5)29(19.5)17(11.4)13(11.0)71(13.4)
Total114(100)149(100)149(100)118(100)530(100)

χ2=21.0, p<0.136


Among disorders, pervasive developmental disorder was most common in the age group of 10-12 years, anxiety and related disorders were most common among age group above 13 years and behavioural disorders was most common among the younger age group of 6-9 years. Intellectual disability was equally common among 6-9 and 10-12 years age group.

The most common religious background of the children who had reported to the psychiatric OPD was Hindu (58.9%), followed by Muslims (28.9%). Among Hindus, the most common disorders were anxiety and dissociative stress related, somatoform and other non-psychotic mental disorders at 23%; and among Muslim children, it was behavioural and emotional disorders at 25%. Among Christians, pervasive and specific developmental disorders were most common with 22.8%.

Most common disorders among male children were pervasive and specific developmental disorders (n=105; 31.1%), behavioural and emotional disorders (n=77; 22.8%) and anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders (n=48; 14.2%). While in the female children, a prominence of anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders was seen (n=52; 27.1%)

Overall, the number of cases reported in the summer and autumn months were higher as compared to winter and spring. Pervasive and specific developmental disorders were seen mostly in the winter and autumn. Autumn showed a peak in reports of behavioural and emotional disorders. Anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders were observed to be at a high in autumn and winter too. However, this difference was not statistically significant.

A total of 18 children were seen having two or more psychiatric disorders. A common co-morbidity accompanying psychiatric disorders was Intellectual disability, seen in 7 of the children; and it was commonly seen along with specific learning disorders. Emotional and conduct disorder were seen together in two children.

Discussion

The study was aimed at determining the clinical and epidemiological correlations of child psychiatric disorders to help clinicians and health care workers with the diagnostic process and management. The present study showed that the most common disorders were pervasive developmental disorders and behavioural & emotional disorders, whereas, a study conducted in Goa showed that the most common diagnoses were anxiety disorders, depressive disorder, behavioural disorder and attention-deficit hyperactivity disorder. This could be attributed to the difference in upbringing religious practices in that area [9]. Anxiety, dissociative and related disorders were more common among the age groups of 13 years and above, and this was seen in another study too where phobic disorders were most common among adolescents [10]. It has been stated that the behavioural and emotional problems in children may differ according to cultural context and the present study corroborates the same. The small number of cases witnessed below the age of six years could be attributed to the poorly developed psychiatric structure for those age groups in countries like India, unlike the West where a referral to the clinic from a preschool teacher, parent or paediatrician regarding an emotional or behavioural psychiatric disorder is considered normal. Moreover, the incapability of a child to communicate and express thoughts visibly during those ages may be an aspect as to why parents or teachers aren’t able to recognise an abnormality. A large number seen amongst adolescents may be due to the universal struggle of a teenager battling parents, peers and education, while trying to develop one’s own personality. While some parents manage the issue with skill, others do not understand the problem, thus leading to a visit to a counsellor/ psychiatrist [11]. Psychiatric disorders were seen more in the male child. This could be due to psychological and biological factors since attention is mostly concentrated to the male child in a typical Indian family and parents notice abnormal behaviour in them earlier than in female children, resulting in prompt identification [12,13].

Psychiatrist George Engel’s bio psychosocial model for medicine recommends that psychiatrists give attention to social and cultural dimensions of their patients’ illnesses [14]. Hindu predominance seen in the cases reporting to the OPD is reflective of the religious distribution of the general population in the city and the state. One limitation in our study was the inability to go to depths regarding the religious correlation of each patient’s problem mainly due to the record based nature of our study, considering some mental illnesses are known to be associated with hyper-religiosity and belief [15]. According to a study conducted in Korea, Catholics seemed to show an increase in depression and anxiety compared to Buddhists and Atheists [16]. Along with religion, socioeconomic status and poverty also plays an important role which is highly associated with schizophrenia and antisocial behaviour [5], which is a factor which hasn’t been considered in this study.

Seasonal variation of disorders showed that there was an increase in psychiatric diagnoses made during autumn. An association of weather and its effects on the child’s performance can be made, especially in terms of pervasive and specific developmental disorders. Most of the depression cases were in the adolescent age group and this may be indicative of starting of Seasonal Affective Disorder (SAD) in them. It is said to be present when there is seasonal pattern to depression at the same time every year and is it improves with light therapy [17].

The present study showing co-morbidity of psychiatric disorders with Intellectual disability was also found by other studies conducted by Shrestha and Emerson [18,19]. The high prevalence of behavioural and emotional disorder is in congruence with findings of Regmi et al., and Pokharel et al., who reported prevalence of 23.59% and 25.58% respectively [20,21]. In our study, 8.3% of patients received a diagnosis of ADHD, which was slightly lower than the number of children diagnosed in the study from Pune [20].

Limitations of The Study and Avenues for Further Research

Being a hospital based study; it has its limitations of not being representative of the community. Since it was a record based study; many factors could not be studied like socio-economic status, presence of a positive family history, previous stressors present in the child such as surgery or other diseases, which could have a relationship with the presence of a psychiatric condition.

Conclusion

The findings of this study from a tertiary care hospital in Mangalore showed that children of all ages came with psychiatric problems. There was a male predominance and the most common disorder was pervasive and specific developmental disorders prominently seen amongst adolescents. Seasonal increase of anxiety, dissociative, stress-related, somatoform and other non-psychotic mental disorders in autumn and winter was seen. These not only throws light on the variation of disorders pattern, but also help health care workers in further enhancing their skill for diagnosis of children.

χ2=126.7, p<0.001χ2=23.5, p<0.009χ2=53.4, p<0.001χ2=21.0, p<0.136

References

[1]United Nations Population Division  [Google Scholar]

[2]mhGAP: Mental Health Gap Action Programme : scaling up care for mental, neurological and substance use disorders. World Health Organization 2008. http://www.who.int/mental_health/mhgap_final_english.pdf  [Google Scholar]

[3]Shakya DR, Psychiatric Morbidity Profiles of Child and Adolescent Psychiatry Out-Patients in a Tertiary-Care Hospital J. Nepal Paediatr Soc 2010 30(2):79-84.  [Google Scholar]

[4]Al-Sharbati MM, Ala’Aldin A, Al-Hussaini, Antony SX. Profile of child and adolescent psychiatry in Oman Saudi Med J 2003 24(4):391-95.  [Google Scholar]

[5]Anita Gaur DR, Vohra AK, Subash S, Khurana H, Prevalence of Psychiatric Morbidity Among 6 to 14 Year old Children Indian J Community Med 2003 28(3):133-37.  [Google Scholar]

[6]Butter M, Cox A, Tupling C, The prevalence of psychiatric disorders Br J Psychiatry 1975 126:493-509.  [Google Scholar]

[7]Shah B, Parhee R, Kumar N, Khanna T, Singh R, Mental Health Research in India (Technical Monograph on ICMR Mental Health Studies) Indian Council of Medical Research 2005   [Google Scholar]

[8]International Statistical Classification of Diseases and Related Health Problems. 10th Revision. 2010 edition. World Health Organization. http://www.who.int/classifications/icd/ICD10Volume2_en_2010.pdf  [Google Scholar]

[9]Pillai A, Patel V, Cardozo P, Goodman R, Weiss HA, Andrew G, Non-traditional lifestyles and prevalence of mental disorders in adolescents in Goa, India The British Journal of Psychiatry 2008 192:45-51.  [Google Scholar]

[10]Girimaji SC, Gururaj G, Seshadri S, Subbakrishna DK, Bhola P, Epidemiological study of child and adolescent psychiatric disorders in urban and rural areas of Bangalore, India Indian J Med Res 2005 122:67-79.  [Google Scholar]

[11]Banerjee T, Psychiatric morbidity among rural primary school children in West Bengal Indian Journal of Psychiatry 1997 39:130-35.  [Google Scholar]

[12]Rahi M, Kumavat AP, Garg S, Singh MM, Socio-demographic co-relates of psychiatric disorders Indian J Pediatr 2005 72:395-98.  [Google Scholar]

[13]Chaudhury S, Prasad PL, Zacharias R, Madhusudan T, Saini R, Psychiatric morbidity pattern in a Child Guidance Clinic MJAFI 2007 63:144-46.  [Google Scholar]

[14]Engel GL, The need for a new medical model: A challenge for biomedicine Science 1977 196:129-36.  [Google Scholar]

[15]Stotland NL, When religion collides with medicine Am J Psychiatry 1999 156:304-07.  [Google Scholar]

[16]Park J, Hong J, Park S, Cho M, The Relationship between Religion and Mental Disorders in a Korean Population Psychiatry Investig 2012 9(1):29-35.  [Google Scholar]

[17]Kurlansik SL, Ibay AD, Seasonal Affective Disorder American Family Physician 2012 86(11):1037-41.  [Google Scholar]

[18]Shrestha DM, Neuropsychiatric problems in children attending a general psychiatric clinic in Nepal Nepal Pediatric Society Journal 1986 5:97-101.  [Google Scholar]

[19]Emerson E, Prevalence of psychiatric disorders in children and adolescents with and without intellectual disability J Intellect Disabil Res 2003 47:51-58.  [Google Scholar]

[20]Regmi SK, Nepal MK, Khalid A, Sinha UK, Kiljunen R, Pokharel A, A study of children and adolescents attending the child guidance clinic of a general hospital Nepalese Journal of Psychiatry 2000 1:90-97.  [Google Scholar]

[21]Pokharel A, Ojha SP, Koirala NR, Regmi SK, Pradhan SN, Sharma VD, A profile of children and adolescents referred by paediatricians to the child guidance clinic of Tribhuban University teaching hospital Nepalese Journal of Psychiatry 2001 2:116-22.  [Google Scholar]