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Title

Mental health characteristics of re-entering dropout Indian students

 

Authors

M. Baskaran*

 

Affiliation

Department of Mental Health Nursing, PSG college of Nursing, Coimbatore, Tamil Nadu - 641004; The Tamil Nadu Dr. M.G.R. Medical University, Chennai, India; *Corresponding author

 

Email

M. Baskaran - E - mail: baskirathi@gamil.com; baskaranm@psgnursing.ac.in

 

Article Type

Research Article

 

Date

Received September 1, 2024; Revised September 30, 2024; Accepted September 30, 2024, Published September 30, 2024

 

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.

 

Keywords

Dropout, re-entering students, mental health, educational settings.

 

Citation

Baskaran, Bioinformation 20(9): 1034-1037 (2024)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.