PREVALENCE AND DETERMINANTS OF DEPRESSION AMONG ADOLESCENT STUDENTS IN RURAL AREAS SURROUNDING BHUBANESWAR, ODISHA: A CROSS-SECTIONAL STUDY.

A STUDY OF DEPRESSION IN ADOLESCENT STUDENTS OF RURAL AREA SURROUNDING BHUBANESWAR, ODISHA

Authors

  • Dr. (Maj) Mohanty Rajesh Priyadarsan Paediatric Specialist, DHH, Jagatsinghpur
  • Dr . Aparna Aradhana Associate Professor, Department of Pediatrics, IMS and SUM Hospital, Bhubaneswar
  • Dr. Nitish Jena Assistant professor, Department of Paediatrics,IMS & SUM HOSPITAL,Bhubaneswar
  • Dr . Suchismita Panda Associate Professor , Department of Paediatrics,IMS & SUM HOSPITAL,Bhubaneswar

DOI:

https://doi.org/10.51168/sjhrafrica.v6i3.1513

Keywords:

Depression, Beck Depression Inventory, Behavior, Stress

Abstract

Introduction

Depression, a persistent low mood and aversion to activity, significantly affects thoughts, behavior, and well-being, often emerging during adolescence—a phase of rapid physical, emotional, and social changes. Globally, around 20% of adolescents experience psychological disorders, with depression being the most common.

Aim and objectives: To assess the prevalence and associated factors of depression among adolescent students in rural areas surrounding Bhubaneswar, Odisha.

 Material and methods

This community-based cross-sectional study was conducted at Ekamra College, Sundarpada, a rural area near Bhubaneswar, Odisha, targeting 11th and 12th-grade students. Exclusions included those with major physical illnesses or diagnosed psychiatric conditions. The study included 220 participants (110 males and 110 females) selected based on roll numbers. Depressive symptoms were assessed using the Beck Depression Inventory (BDI), with students completing the questionnaire based on their feelings over two weeks.

 Results

with a mean age of 17 years; the majority (44.54%) were 18 years old. Most participants (84.10%) were Hindus, with 77.29% belonging to the general caste and 22.71% to OBC, SC, or ST categories. The study revealed that 70% of male and 76% of female students experienced depression, ranging from borderline clinical depression to extreme depression.

 Conclusions

This study explores depression among rural adolescents in Odisha, identifying sleep duration, outdoor activities, socioeconomic status, parental conflicts, and education as key contributors. Addressing these stressors through improved habits, socioeconomic support, and healthier family dynamics could reduce depression, highlighting the need for targeted interventions in rural youth mental health.

 Recommendations

Regular mental health screening programs should be implemented in schools to identify adolescents at risk of depression. Teachers and school staff should be trained to recognize early signs of depression and refer students for further evaluation.

 

Author Biographies

Dr . Aparna Aradhana, Associate Professor, Department of Pediatrics, IMS and SUM Hospital, Bhubaneswar

Associate Professor, Dept of Pediatrics,  IMS and SUM Hospital, Bhubaneswar

Dr. Nitish Jena, Assistant professor, Department of Paediatrics,IMS & SUM HOSPITAL,Bhubaneswar

Assistant professor, Dept of Paediatrics,IMS & SUM HOSPITAL,Bhubaneswar

References

Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. Lancet. 2012;379(9820):1056-67.

https://doi.org/10.1016/S0140-6736(11)60871-4 PMid:22305766

Mkhize M, van der Westhuizen C, Sorsdahl K. Prevalence and factors associated with depression and anxiety among young school-going adolescents in the Western Cape Province of South Africa. Compr Psychiatry. 2024;131:152312. https://doi.org/10.1016/j.comppsych.2024.152469 PMid:38461564

Silva SA, Silva SU, Ronca DB, Goncalves VSS, Dutra ES, Carvalho KMB. Common mental disorders prevalence in adolescents: a systematic review and meta-analyses. PLoS One. 2020;15:e0234059. https://doi.org/10.1371/journal.pone.0232007 PMid:32324835 PMCid: PMC7179924

Cook MN, Peterson J, Sheldon C. Adolescent depression: an update and guide to clinical decision making. Psychiatry (Edgmont). 2009;6(9):17-31.

Erskine HE, Moffitt TE, Copeland WE, Costello EJ, Ferrari AJ, Patton G, et al. A heavy burden on young minds: the global burden of mental and substance use disorders in children and youth. Psychol Med. 2015;45:1551-63. https://doi.org/10.1017/S0033291714002888 PMid:25534496 PMCid:PMC5922255

Mumang AA, Liaury K, Syamsuddin S, Maria IL, Tanra AJ, Ishida T, et al. Socio-economic-demographic determinants of depression in Indonesia: A hospital-based study. PLoS One. 2020;15:e0244108. https://doi.org/10.1371/journal.pone.0244108 PMid:33320917 PMCid: PMC7737985

Korczak DJ, Westwell-Roper C, Sassi R. Diagnosis and management of depression in adolescents. CMAJ. 2023;195(21):E739-E746. https://doi.org/10.1503/cmaj.220966 PMid:37247881 PMCid: PMC10228578

Bodicherla KP, Shah K, Singh R, Arinze NC, Chaudhari G. School-Based Approaches to Prevent Depression in Adolescents. Cureus. 2021;13(2):e13443. https://doi.org/10.7759/cureus.13443

Belfer ML. Child and adolescent mental disorders: the magnitude of the problem across the globe. J Child Psychol Psychiatry. 2008;49:226-36. https://doi.org/10.1111/j.1469-7610.2007.01855.x PMid:18221350

Sander JB, McCarty CA. Youth depression in the family context: familial risk factors and models of treatment. Clin Child Fam Psychol Rev. 2005;8(3):203-19. https://doi.org/10.1007/s10567-005-6666-3 PMid:16151618 PMCid: PMC1352328

Kirkbride JB, Anglin DM, Colman I, Dykxhoorn J, Jones PB, Patalay P, et al. The social determinants of mental health and disorder: evidence, prevention and recommendations. World Psychiatry. 2024;23(1):58-90. https://doi.org/10.1002/wps.21160 PMid:38214615 PMCid: PMC10786006

Domitrovich CE, Bradshaw CP, Greenberg MT, Embry D, Poduska JM, Ialongo NS. Integrated models of school-based prevention: logic and theory. Psychol Sch. 2010;47(1):71-88. https://doi.org/10.1002/pits.20452 PMid:27182089 PMCid: PMC4865396

Jayashree K, Mithra PP, Nair MK, Unnikrishnan B, Pai K. Depression and anxiety disorders among school-going adolescents in an Urban Area of South India. Indian J Community Med. 2018;43:28-32. https://doi.org/10.4103/ijcm.IJCM_209_18 PMid:30686871 PMCid:PMC6324034

Jha KK, Singh SK, Nirala SK, Kumar C, Kumar P, Aggrawal N. Prevalence of depression among school-going adolescents in an Urban Area of Bihar, India. Indian J. Psychol Med. 2017;39:287-92. https://doi.org/10.4103/0253-7176.207326 PMid:28615762 PMCid: PMC5461838

Shukla M, Ahmad S, Singh JV, Shukla NK, Shukla R. Factors associated with depression among school-going adolescent girls in a district of Northern India: A cross-sectional study. Indian J. Psychol Med. 2019;41(1):46-53. https://doi.org/10.4103/IJPSYM.IJPSYM_211_18 PMid:30783308 PMCid:PMC6337940

Umesh S, Social anhedonia and gamma band abnormalities as a composite/multivariate endophenotype for schizophrenia: a dense array EEG study. Early Interv Psychiatry. 2016;2(3):1-7. https://doi.org/10.1111/eip.12327 PMid:27001559

Chauhan D, Patel U, Rahul K, Patel M. Depression among higher secondary students of science stream of private schools of Rajkot. J Family Med Prim Care. 2022;11(7):3761-5. https://doi.org/10.4103/jfmpc.jfmpc_2077_21 PMid:36387693 PMCid: PMC9648285

Nair P, Bhanu C, Frost R, Buszewicz M, Walters KR. A systematic review of older adults' attitudes towards depression and its treatment. Gerontologist. 2020;60(1):e93-e104. https://doi.org/10.1093/geront/gnz048 PMid:31115449

Downloads

Published

2025-03-03

How to Cite

Dr. (Maj) Mohanty Rajesh Priyadarsan, Dr Aparna Aradhana, Dr Nitish Jena, & Panda, D. S. (2025). PREVALENCE AND DETERMINANTS OF DEPRESSION AMONG ADOLESCENT STUDENTS IN RURAL AREAS SURROUNDING BHUBANESWAR, ODISHA: A CROSS-SECTIONAL STUDY.: A STUDY OF DEPRESSION IN ADOLESCENT STUDENTS OF RURAL AREA SURROUNDING BHUBANESWAR, ODISHA. Student’s Journal of Health Research Africa, 6(3), 9. https://doi.org/10.51168/sjhrafrica.v6i3.1513

Issue

Section

Other Original Articles