Ajita Nayak1, Bijal Sangoi1, Hrishikesh Nachane2. 1. Department of Psychiatry, KEM Hospital and Seth GS Medical College, Acharya Donde Marg, Parel, Mumbai, 400012, India. 2. Department of Psychiatry, KEM Hospital and Seth GS Medical College, Acharya Donde Marg, Parel, Mumbai, 400012, India. hbnachane@gmail.com.
Abstract
OBJECTIVES: School refusal is seen as an emergency in child psychiatry and various risk factors have been analyzed. Children who present with school refusal have been shown to have several associated psychiatric comorbidities. However, risk assessment of psychiatric comorbidities is lacking, particularly in the Indian context. The authors aimed to study the sociodemographic profile and associated psychopathology in children with school refusal. They compared the prevalence rates of psychiatric illnesses to that of the community. A best-fit model for risk assessment of psychopathology was formulated. METHODS: Past records of children aged 5-16 y, who presented with school refusal in the period from June 2013 through June 2015 to authors' Child Guidance Clinic were studied and their sociodemographic details, symptoms and diagnoses were obtained. Chi square test of proportion was used to compare the prevalence rates between the study population and community. Multinomial analysis was used to elucidate a best-fit model of risk assessment. RESULTS: School refusal was seen in 3.6% of children. 77.8% of the children had a psychiatric diagnosis, most common being depression (26.7%), followed by anxiety (17.7%). Prevalence of psychiatric disorders was significantly higher in the study population than community (p < 0.05). A best-fit model of 4 factors: academic difficulties, adjustment problems at school, behavioral problems and parental conflicts is suggested (p < 0.05). CONCLUSIONS: School refusal is associated with significant psychopathology, most commonly depression, followed by anxiety. The best-fit model for risk assessment can predict the likelihood of psychopathology and help in early diagnosis.
OBJECTIVES: School refusal is seen as an emergency in child psychiatry and various risk factors have been analyzed. Children who present with school refusal have been shown to have several associated psychiatric comorbidities. However, risk assessment of psychiatric comorbidities is lacking, particularly in the Indian context. The authors aimed to study the sociodemographic profile and associated psychopathology in children with school refusal. They compared the prevalence rates of psychiatric illnesses to that of the community. A best-fit model for risk assessment of psychopathology was formulated. METHODS: Past records of children aged 5-16 y, who presented with school refusal in the period from June 2013 through June 2015 to authors' Child Guidance Clinic were studied and their sociodemographic details, symptoms and diagnoses were obtained. Chi square test of proportion was used to compare the prevalence rates between the study population and community. Multinomial analysis was used to elucidate a best-fit model of risk assessment. RESULTS: School refusal was seen in 3.6% of children. 77.8% of the children had a psychiatric diagnosis, most common being depression (26.7%), followed by anxiety (17.7%). Prevalence of psychiatric disorders was significantly higher in the study population than community (p < 0.05). A best-fit model of 4 factors: academic difficulties, adjustment problems at school, behavioral problems and parental conflicts is suggested (p < 0.05). CONCLUSIONS: School refusal is associated with significant psychopathology, most commonly depression, followed by anxiety. The best-fit model for risk assessment can predict the likelihood of psychopathology and help in early diagnosis.
Entities:
Keywords:
Best-fit model; Psychopathology; School refusal
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