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Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India
BACKGROUND: Although existing research supports the correlation of hereditary and psychological factors with an adolescent’s deliberate self-harm, there is a dearth of research that focus on their socio-economic characteristics. This paper intends to identity the potential risk factors that influenc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684608/ https://www.ncbi.nlm.nih.gov/pubmed/34922635 http://dx.doi.org/10.1186/s40359-021-00705-4 |
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author | Sinha, Debashree Srivastava, Shobhit Mishra, Prem Shankar Kumar, Pradeep |
author_facet | Sinha, Debashree Srivastava, Shobhit Mishra, Prem Shankar Kumar, Pradeep |
author_sort | Sinha, Debashree |
collection | PubMed |
description | BACKGROUND: Although existing research supports the correlation of hereditary and psychological factors with an adolescent’s deliberate self-harm, there is a dearth of research that focus on their socio-economic characteristics. This paper intends to identity the potential risk factors that influence an adolescent’s deliberate self-harm. METHODS: Data for this study was obtained from Understanding the Lives of Adolescents and Young Adults (UDAYA) study conducted in 2015–16 with sample of 5,969 adolescent boys and 9,419 girls aged 10–19 years. The outcome variable was deliberate self-harm among adolescents. The explanatory variables added in the study were age, current schooling status, working status, media exposure, access to internet, parental abuse, involvement in fights, substance use, depressive symptoms, caste, religion, wealth index, residence and states. Bivariate analysis along with binary logistic regression analysis was done to fulfill the study objectives. RESULTS: About 4.5% and 3.2% of adolescent boys and girls, respectively had deliberate self-harm. The odds of deliberate self-harm were 50 per cent more likely among adolescent girls who had internet access [OR 1.50; CI 1.05–2.16]. The likelihood of deliberate self-harm was 49 per cent and 61 per cent significantly more likely among adolescent boys [OR 1.49; CI 1.11–2.0] and girls [OR 1.61; CI 1.27–2.04] who experienced parental physical abuse respectively. With reference to minimal/mild depressive symptoms, adolescents who had moderate [boys-OR 2.10; CI 1.29–3.4 and girls-OR 2.50; CI 1.774–3.59] or moderately high/severe [boys-OR 4.58; CI 2.88–7.29 and girls-OR 4.18; CI 3.1–5.63] depressive symptoms had significantly higher odds of deliberate self-harm. CONCLUSIONS: Internet access, parental abuse, involvement in fights, and depressive symptoms emerged as significant predictors of deliberate self-harm among adolescent boys and girls. Results suggest that an early identification of the predictors and intervention might prevent deliberate self-harm among adolescents. Since parents play a major role in the lives and development of adolescents, it is highly recommended that they initiate open and supportive communication with their children. |
format | Online Article Text |
id | pubmed-8684608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86846082021-12-20 Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India Sinha, Debashree Srivastava, Shobhit Mishra, Prem Shankar Kumar, Pradeep BMC Psychol Research BACKGROUND: Although existing research supports the correlation of hereditary and psychological factors with an adolescent’s deliberate self-harm, there is a dearth of research that focus on their socio-economic characteristics. This paper intends to identity the potential risk factors that influence an adolescent’s deliberate self-harm. METHODS: Data for this study was obtained from Understanding the Lives of Adolescents and Young Adults (UDAYA) study conducted in 2015–16 with sample of 5,969 adolescent boys and 9,419 girls aged 10–19 years. The outcome variable was deliberate self-harm among adolescents. The explanatory variables added in the study were age, current schooling status, working status, media exposure, access to internet, parental abuse, involvement in fights, substance use, depressive symptoms, caste, religion, wealth index, residence and states. Bivariate analysis along with binary logistic regression analysis was done to fulfill the study objectives. RESULTS: About 4.5% and 3.2% of adolescent boys and girls, respectively had deliberate self-harm. The odds of deliberate self-harm were 50 per cent more likely among adolescent girls who had internet access [OR 1.50; CI 1.05–2.16]. The likelihood of deliberate self-harm was 49 per cent and 61 per cent significantly more likely among adolescent boys [OR 1.49; CI 1.11–2.0] and girls [OR 1.61; CI 1.27–2.04] who experienced parental physical abuse respectively. With reference to minimal/mild depressive symptoms, adolescents who had moderate [boys-OR 2.10; CI 1.29–3.4 and girls-OR 2.50; CI 1.774–3.59] or moderately high/severe [boys-OR 4.58; CI 2.88–7.29 and girls-OR 4.18; CI 3.1–5.63] depressive symptoms had significantly higher odds of deliberate self-harm. CONCLUSIONS: Internet access, parental abuse, involvement in fights, and depressive symptoms emerged as significant predictors of deliberate self-harm among adolescent boys and girls. Results suggest that an early identification of the predictors and intervention might prevent deliberate self-harm among adolescents. Since parents play a major role in the lives and development of adolescents, it is highly recommended that they initiate open and supportive communication with their children. BioMed Central 2021-12-18 /pmc/articles/PMC8684608/ /pubmed/34922635 http://dx.doi.org/10.1186/s40359-021-00705-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sinha, Debashree Srivastava, Shobhit Mishra, Prem Shankar Kumar, Pradeep Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India |
title | Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India |
title_full | Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India |
title_fullStr | Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India |
title_full_unstemmed | Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India |
title_short | Predictors of deliberate self-harm among adolescents: Answers from a cross-sectional study on India |
title_sort | predictors of deliberate self-harm among adolescents: answers from a cross-sectional study on india |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684608/ https://www.ncbi.nlm.nih.gov/pubmed/34922635 http://dx.doi.org/10.1186/s40359-021-00705-4 |
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