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Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh

CONTEXT: Depressive disorders often start at a young age. There is a need for early identification of depression, anxiety, and stress (DAS) and prevention. The present study was undertaken to find the magnitude of DAS among adolescents. AIMS: To find the mental health status of school going adolesce...

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Autores principales: Sandal, Raman Kumar, Goel, Naveen Krishan, Sharma, Manoj Kumar, Bakshi, Ravleen Kaur, Singh, Navpreet, Kumar, Dinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749094/
https://www.ncbi.nlm.nih.gov/pubmed/29302555
http://dx.doi.org/10.4103/2249-4863.219988
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author Sandal, Raman Kumar
Goel, Naveen Krishan
Sharma, Manoj Kumar
Bakshi, Ravleen Kaur
Singh, Navpreet
Kumar, Dinesh
author_facet Sandal, Raman Kumar
Goel, Naveen Krishan
Sharma, Manoj Kumar
Bakshi, Ravleen Kaur
Singh, Navpreet
Kumar, Dinesh
author_sort Sandal, Raman Kumar
collection PubMed
description CONTEXT: Depressive disorders often start at a young age. There is a need for early identification of depression, anxiety, and stress (DAS) and prevention. The present study was undertaken to find the magnitude of DAS among adolescents. AIMS: To find the mental health status of school going adolescents in Chandigarh. The objectives were (i) to study the prevalence of DAS among school going adolescents and (ii) to study the correlates of DAS. SETTINGS AND DESIGN: A Cross-sectional survey of students of four classes from 9(th) to 12(th) studying in government schools. SUBJECTS AND METHODS: Ten government schools in Chandigarh were randomly selected through lottery method. In each school, for each of the four classes, a section was randomly selected again by the lottery method. Forty students were selected from each school reaching sample size of 470. DAS scale 21 questionnaires were used. STATISTICAL ANALYSIS USED: The data entry was done in MS Office Excel 2007. The analysis was done in the form of frequency tables, charts cross tables. For statistical significance, Chi-square test and correlation was found between various factors. RESULTS: The prevalence of DAS was 65.53%, 80.85%, and 47.02%, respectively. Overall, comorbidity between depression and anxiety was 57.65%. Extremely severe depression was very less (3%). The prevalence of DAS was higher in females. For depression and anxiety, the peak age was 18 years. CONCLUSIONS: The prevalence of DAS was high among school going adolescents in Chandigarh. There is a need for early and effective identification of DAS that can prevent many psychiatric disorders at their nascent stage.
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spelling pubmed-57490942018-01-04 Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh Sandal, Raman Kumar Goel, Naveen Krishan Sharma, Manoj Kumar Bakshi, Ravleen Kaur Singh, Navpreet Kumar, Dinesh J Family Med Prim Care Original Article CONTEXT: Depressive disorders often start at a young age. There is a need for early identification of depression, anxiety, and stress (DAS) and prevention. The present study was undertaken to find the magnitude of DAS among adolescents. AIMS: To find the mental health status of school going adolescents in Chandigarh. The objectives were (i) to study the prevalence of DAS among school going adolescents and (ii) to study the correlates of DAS. SETTINGS AND DESIGN: A Cross-sectional survey of students of four classes from 9(th) to 12(th) studying in government schools. SUBJECTS AND METHODS: Ten government schools in Chandigarh were randomly selected through lottery method. In each school, for each of the four classes, a section was randomly selected again by the lottery method. Forty students were selected from each school reaching sample size of 470. DAS scale 21 questionnaires were used. STATISTICAL ANALYSIS USED: The data entry was done in MS Office Excel 2007. The analysis was done in the form of frequency tables, charts cross tables. For statistical significance, Chi-square test and correlation was found between various factors. RESULTS: The prevalence of DAS was 65.53%, 80.85%, and 47.02%, respectively. Overall, comorbidity between depression and anxiety was 57.65%. Extremely severe depression was very less (3%). The prevalence of DAS was higher in females. For depression and anxiety, the peak age was 18 years. CONCLUSIONS: The prevalence of DAS was high among school going adolescents in Chandigarh. There is a need for early and effective identification of DAS that can prevent many psychiatric disorders at their nascent stage. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5749094/ /pubmed/29302555 http://dx.doi.org/10.4103/2249-4863.219988 Text en Copyright: © 2017 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Sandal, Raman Kumar
Goel, Naveen Krishan
Sharma, Manoj Kumar
Bakshi, Ravleen Kaur
Singh, Navpreet
Kumar, Dinesh
Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh
title Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh
title_full Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh
title_fullStr Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh
title_full_unstemmed Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh
title_short Prevalence of Depression, Anxiety and Stress among school going adolescent in Chandigarh
title_sort prevalence of depression, anxiety and stress among school going adolescent in chandigarh
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5749094/
https://www.ncbi.nlm.nih.gov/pubmed/29302555
http://dx.doi.org/10.4103/2249-4863.219988
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