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Academic stress among Indian adolescent girls

CONTEXT: Academic learning is the main source of stress among adolescents and is associated with mental health problems; finding its determinants helps to know the risk factors that influence stress. AIM: The main aim of the study was to assess the educational stress and their predictors among adole...

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Autores principales: Rentala, Sreevani, Nayak, Raghavendra Bheemappa, Patil, Sugnyani Devi, Hegde, Gayatri Subray, Aladakatti, Rajashree
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745887/
https://www.ncbi.nlm.nih.gov/pubmed/31544123
http://dx.doi.org/10.4103/jehp.jehp_116_19
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author Rentala, Sreevani
Nayak, Raghavendra Bheemappa
Patil, Sugnyani Devi
Hegde, Gayatri Subray
Aladakatti, Rajashree
author_facet Rentala, Sreevani
Nayak, Raghavendra Bheemappa
Patil, Sugnyani Devi
Hegde, Gayatri Subray
Aladakatti, Rajashree
author_sort Rentala, Sreevani
collection PubMed
description CONTEXT: Academic learning is the main source of stress among adolescents and is associated with mental health problems; finding its determinants helps to know the risk factors that influence stress. AIM: The main aim of the study was to assess the educational stress and their predictors among adolescent girls. SETTINGS AND DESIGN: A cross-sectional study was conducted in ten colleges involving adolescent girls pursuing preuniversity and university studies at Dharwad city, India. SUBJECTS AND METHODS: The study included 314 randomly selected adolescent girls aged between 16 and 19 years. The study was approved by the institutional ethics committee. Data were collected by employing random sampling technique. Self-administered questionnaires were administered which included sociodemographic data sheet, personality inventory, intelligence quotient (IQ) assessment, and educational stress scale for adolescents. RESULTS: Mean educational stress was 50.04 ± 10.82 (range 16–80). There was a significant association between educational stress and religion, father education, number of siblings, combination of subjects, type of personality, and IQ. Regression analysis revealed that number of siblings and extrovert neuroticism personality negatively predicted stress (beta = −0.115, P = 0.037; beta = −0.242, P = 0.001) and considered as protective factors. Introvert neuroticism, Hindu religion, illiterate father, and commerce combination of subjects positively predicted stress among adolescent girls (beta = 0.160, P = 0.026; beta = 0.119, P = 0.028; beta = 0.125, P = 0.017; and beta = 0.278, P < 0.001) and considered as risk factors. CONCLUSIONS: Findings help in better understanding of educational stress factors among adolescent girls and consider them while developing stress prevention programs.
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spelling pubmed-67458872019-09-20 Academic stress among Indian adolescent girls Rentala, Sreevani Nayak, Raghavendra Bheemappa Patil, Sugnyani Devi Hegde, Gayatri Subray Aladakatti, Rajashree J Educ Health Promot Original Article CONTEXT: Academic learning is the main source of stress among adolescents and is associated with mental health problems; finding its determinants helps to know the risk factors that influence stress. AIM: The main aim of the study was to assess the educational stress and their predictors among adolescent girls. SETTINGS AND DESIGN: A cross-sectional study was conducted in ten colleges involving adolescent girls pursuing preuniversity and university studies at Dharwad city, India. SUBJECTS AND METHODS: The study included 314 randomly selected adolescent girls aged between 16 and 19 years. The study was approved by the institutional ethics committee. Data were collected by employing random sampling technique. Self-administered questionnaires were administered which included sociodemographic data sheet, personality inventory, intelligence quotient (IQ) assessment, and educational stress scale for adolescents. RESULTS: Mean educational stress was 50.04 ± 10.82 (range 16–80). There was a significant association between educational stress and religion, father education, number of siblings, combination of subjects, type of personality, and IQ. Regression analysis revealed that number of siblings and extrovert neuroticism personality negatively predicted stress (beta = −0.115, P = 0.037; beta = −0.242, P = 0.001) and considered as protective factors. Introvert neuroticism, Hindu religion, illiterate father, and commerce combination of subjects positively predicted stress among adolescent girls (beta = 0.160, P = 0.026; beta = 0.119, P = 0.028; beta = 0.125, P = 0.017; and beta = 0.278, P < 0.001) and considered as risk factors. CONCLUSIONS: Findings help in better understanding of educational stress factors among adolescent girls and consider them while developing stress prevention programs. Wolters Kluwer - Medknow 2019-08-30 /pmc/articles/PMC6745887/ /pubmed/31544123 http://dx.doi.org/10.4103/jehp.jehp_116_19 Text en Copyright: © 2019 Journal of Education and Health Promotion http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Rentala, Sreevani
Nayak, Raghavendra Bheemappa
Patil, Sugnyani Devi
Hegde, Gayatri Subray
Aladakatti, Rajashree
Academic stress among Indian adolescent girls
title Academic stress among Indian adolescent girls
title_full Academic stress among Indian adolescent girls
title_fullStr Academic stress among Indian adolescent girls
title_full_unstemmed Academic stress among Indian adolescent girls
title_short Academic stress among Indian adolescent girls
title_sort academic stress among indian adolescent girls
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745887/
https://www.ncbi.nlm.nih.gov/pubmed/31544123
http://dx.doi.org/10.4103/jehp.jehp_116_19
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