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1.
Indian J Pediatr ; 2004 Jun; 71(6): 523-4
Article in English | IMSEAR | ID: sea-80629

ABSTRACT

OBJECTIVE: To find out the prevalence and pattern of depression among adolescents. METHODS: Adolescents of age group from 13 to 19 belonging to school/college students and school dropouts were assessed using Beck's Depression Inventory (BDI) by a team consisting of a pediatrician, psychologist and PGDCCD (Post Graduate Diploma in Clinical Child Development) students. RESULTS: 11.2% of school dropouts had severe and extreme grades of depression as against 3% among school going and nil among college going adolescents.


Subject(s)
Adolescent , Adult , Depression/epidemiology , Female , Humans , India/epidemiology , Male , Prevalence , Schools/statistics & numerical data , Students/psychology , Universities/statistics & numerical data
2.
Indian J Pediatr ; 2003 Aug; 70(8): 629-31
Article in English | IMSEAR | ID: sea-83109

ABSTRACT

OBJECTIVE: To find out the factors affecting scholastic performance of adolescents belonging to various groups and the determinants for poor scholastic performance. METHODS: 1892 adolescents of 13 to 19 years age group belonging to different category of schools were interviewed and assessed by a team consisting of pediatrician, psychologist and PG-DCCD* students using Teenage Screening Questionnaire--Trivandrum and Study Habit Rating Scale. Daily study pattern, Family environment, Education status of parents, Personal distractions, and Attitude towards studies were observed as factors affecting scholastic performance. RESULT: On multivariate analysis the predictor variables for poor scholastic performance were; lower studying daily lessons, poor concentration in studies, lower education status of father and unhappy family. CONCLUSION: It is feasible to identify determinants of scholstic performance and plan intervention strategies at school level.


Subject(s)
Adolescent , Adolescent Behavior , Adult , Education/standards , Educational Measurement/statistics & numerical data , Female , Humans , India , Male , Multivariate Analysis , Schools/classification , Socioeconomic Factors
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