Mental health characteristics of re-entering dropout Indian students.

IF 1.9
Bioinformation Pub Date : 2024-09-30 eCollection Date: 2024-01-01 DOI:10.6026/9732063002001034
Baskaran M
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Abstract

Education plays a pivotal role in shaping individual development and societal progress, yet dropout rates remain a significant challenge, particularly in developing countries like India. Dropout decisions often stem from complex social, economic and psychological factors, impacting students' mental health. This comparative descriptive study assessed and compared the mental health characteristics of 30 re-entering dropout students and 30 regular students from Integral Coach Factory (ICF) Hr. Sec. School, Ayanavaram, Chennai. Data collection utilized a structured questionnaire capturing demographic variables and the modified Abraham and Prasanna Mental Health Characteristics Scale. Re-entering dropout students exhibited lower mental health scores across physical, intellectual, familial, social, and psychological dimensions compared to regular students (p < 0.001). Significant associations were observed between mental health and father's education level among re-entering dropouts (p < 0.001), emphasizing its influence on well-being The study underscores disparities in mental health between re-entering dropout students and their peers, highlighting the need for targeted interventions and supportive environments in educational settings. Addressing these disparities can enhance overall well-being and academic success among re-entering dropout students.

印度辍学生再入学的心理健康特征。
教育在塑造个人发展和社会进步方面发挥着关键作用,但辍学率仍然是一个重大挑战,特别是在印度等发展中国家。退学决定往往源于复杂的社会、经济和心理因素,影响着学生的心理健康。本研究采用描述性比较研究的方法,评估和比较了30名再入学的中途退学学生和30名正常学生的心理健康特征。金奈Ayanavaram第二学校数据收集采用结构化问卷获取人口统计变量和修改的Abraham和Prasanna心理健康特征量表。与普通学生相比,重新入学的辍学学生在身体、智力、家庭、社会和心理方面的心理健康得分较低(p < 0.001)。在重新入学的辍学学生中,心理健康与父亲的受教育水平之间存在显著关联(p < 0.001),强调了其对幸福感的影响。研究强调了重新入学的辍学学生与其同龄人在心理健康方面的差异,强调了在教育环境中有针对性的干预和支持性环境的必要性。解决这些差异可以提高重新入学的辍学学生的整体福祉和学业成就。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioinformation
Bioinformation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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