Role of Education in Indulgence of Substance Abuse Behaviour in Adults.
Published In: Indian Journal of Health & Wellbeing, 2025, v. 16, n. 4-II. P. 868 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sharma, Ritu; Kathuria, Ramya 3 of 3
Abstract
Education levels significantly influence substance abuse. Students' dropouts at high and elementary educational levels exhibit heightened vulnerability towards substance abuse. This study attempts to understand the impact of the educational level as a psychosocial factor that may predict the possibility of drug abuse in people. The objective of the study is to assess the level of education in the consumption behavior of substance abuse. The study included participants aged 18 and above, 200 participants, who are consuming one or other kind of substance, were selected by purposive sampling from rural and urban areas of Delhi and NCR. DAST-20 and Assessment of Psychosocial Factors of Substance Abuse (ASPFSA), a tailor-made test was used to assess the psycho-social predictors to collect data. Alcohol was the most commonly used substance in this study (21.6%), followed by smoking-based substances (21.1%). Opioids (3%) and amphetamine-type stimulants (0.5%) were less prevalent compared to alcohol and smoking-based substances. A t-test analysis identified media exposure, childhood trauma, and other psycho-social factors as significant predictors of substance use. These results highlight the need for targeted interventions addressing these risk factors to reduce substance use across diverse educational backgrounds. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Indian Journal of Health & Wellbeing. 2025/12, Vol. 16, Issue 4-II, p868
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:2229-5356
- Accession Number:190945688
- Copyright Statement:Copyright of Indian Journal of Health & Wellbeing is the property of Indian Association of Health, Research & Welfare and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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