Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

ACC 2024 Congress

Catch up on all the top stories and latest evidence in cardiology research with our ACC 2024 Congress hub page.
ADVANCED SEARCH
Log in
Top
Child and Adolescent Psychiatry and Mental Health
Published in: Child and Adolescent Psychiatry and Mental Health 1/2018

Open Access 01-12-2018 | Research article

Prevalence and correlates of burnout among collegiate cycle students in Sri Lanka: a school-based cross-sectional study

Authors: Nuwan Darshana Wickramasinghe, Devani Sakunthala Dissanayake, Gihan Sajiwa Abeywardena

Published in: Child and Adolescent Psychiatry and Mental Health | Issue 1/2018

Login to get access

Abstract

Background

Even though the concept of burnout has been widely explored across the globe, the evidence base on burnout among high school students in the South Asian context is scanty. Against the backdrop of ever-increasing educational demands and expectations, the present study was designed to determine the prevalence and correlates of burnout among collegiate cycle students in Sri Lanka.

Methods

A school-based cross-sectional study was conducted among 872 grade thirteen students in 15 government schools in an educational zone, Kegalle district, Sri Lanka selected by a stratified cluster sampling technique. The validated Sinhala version of the 15-item Maslach Burnout Inventory-Student Survey (MBI-SS) was used to assess burnout. The adjusted prevalence of burnout was computed based on the clinically validated cut-off values using the “exhaustion + 1” criterion. Multivariable logistic regression was carried out using backward elimination method to quantify the association between burnout and selected correlates identified at bivariate analysis at p value less than 0.05.

Results

The response rate was 91.3% (n = 796). The adjusted prevalence of burnout among grade thirteen students was 28.8% (95% CI = 25.0–32.7%). Multivariable analysis elicited a multitude of statistically significant associations with burnout when controlled for other factors included in the model (p < 0.05). Perceived satisfaction related to the school environment (classroom and library facilities), school curriculum (scope, relevance, and difficulty of the subject content), study enthusiasm (preferred subject stream), study support (support from parents to teachers), and future expectations (personal and parental expectations) emerged as statistically significant negative associations with burnout, whereas having to encounter disturbances while studying and being subjected to bullying at school emerged as statistically significant positive associations with burnout.

Conclusions

The burnout prevalence among grade thirteen students in the selected educational zone, Sri Lanka is high. Most of the significant correlates of burnout are directly related to the academic endeavours. It is recommended to strengthen the counseling services at the school level to rectify the problems related to burnout among collegiate cycle students in Sri Lanka.
Literature
1.
Schaufeli WB, Martinez IM, Pinto AM, Salanova M, Bakker AB. Burnout and engagement in university students: a cross-national study. J Cross Cult Psychol. 2002;33:464–81.CrossRef
2.
Yavuz G, Dogan N. Maslach Burnout Inventory-Student Survey (MBI-SS): a validity study. Procedia Soc Behav Sci. 2014;116:2453–7.CrossRef
3.
Hu Q, Schaufeli WB. The factorial validity of the Maslach Burnout Inventory-Student Survey in China. Psychol Rep. 2009;105:394–408.CrossRefPubMed
4.
Rostami Z, Abedi MR, Schaufeli WB, Ahmadi SA, Sadeghi AH. The psychometric characteristics of Maslach Burnout Inventory Student Survey: a study students of Isfahan University. Zahedan J Res Med Sci. 2014;16:55–8.
5.
Ilic M, Todorovic Z, Jovanovic M, Ilic I. Burnout syndrome among medical students at one university in Serbia: validity and reliability of the Maslach Burnout Inventory-Student Survey. Behav Med. 2017;43:323–8.CrossRefPubMed
6.
Maroco J, Tecedeiro M. Maslach Burnout Inventory-Student Survey: Portugal-Brazil cross-cultural adaptation. Psicol Saúde Doenças. 2009;10:227–35.
7.
Galán F, Sanmartín A, Polo J, Giner L. Burnout risk in medical students in Spain using the Maslach Burnout Inventory-Student Survey. Int Arch Occup Environ Health. 2011;84:453–9.CrossRefPubMed
8.
Oliva Costa E, Santos A, Abreu Santos A, Melo E, Andrade T. Burnout Syndrome and associated factors among medical students: a cross-sectional study. Clinics. 2012;67:573–9.CrossRefPubMedCentral
9.
Virtanen T, Lerkkanen MK, Poikkeus AM, Kuorelahti M. Student behavioral disengagement, school truancy and burnout in Finnish junior high schools: latent profile analysis. Presented at ECER 2014, The Past, the Present and the Future of Educational Research, Porto, 2014. Portugal.
10.
Tuominen-Soini H, Salmela-Aro K. Schoolwork engagement and burnout among Finnish high school students and young adults: profiles, progressions, and educational outcomes. Dev Psychol. 2014;50(3):649–62.CrossRefPubMed
11.
Schraml K, Perski A, Grossi G, Simonsson-Sarnecki M. Stress symptoms among adolescents: the role of subjective psychosocial conditions, lifestyle, and self-esteem. J Adolesc. 2011;34(5):987–96.CrossRefPubMed
12.
Yang HJ. Factors affecting student burnout and academic achievement in multiple enrollment programs in Taiwan’s technical-vocational colleges. Int J Educ Dev. 2004;24(3):283–301.CrossRef
13.
Yang HJ, Farn CK. An investigation the factors affecting MIS student burnout in technical-vocational college. Comput Human Behav. 2005;21(6):917–32.CrossRef
14.
Zhang Y, Gan Y, Cham H. Perfectionism, academic burnout and engagement among Chinese college students: a structural equation modeling analysis. Personal Individ Differ. 2007;43(6):1529–40.CrossRef
15.
Jacobs SR, Dodd D. Student burnout as a function of personality, social support, and workload. J Coll Stud Dev. 2003;44(3):291–303.CrossRef
16.
Slivar B. The syndrome of burnout, self-image, and anxiety with grammar school students. Horizons Psychol. 2001;10:21–32.
17.
Salmela-Aro K, Kiuru N, Leskinen E, Nurmi JE. School burnout inventory (SBI) reliability and validity. Eur J Psychol Assess. 2009;25(1):48–57.CrossRef
18.
Salmela-Aro K, Kiuru N, Pietikïnen M, Jokela J. Does school matter? The role of school context in adolescents’ school-related burnout? Eur Psychol. 2008;13:12–23.CrossRef
19.
Shetty A, Shetty A, Hegde MN, Narasimhan D, Shetty S. Stress and burnout assessment among post graduate dental students. Nitte Univ J Health Sci. 2015;5(1):31–6.
20.
21.
22.
23.
Perera H. Mental health of adolescent schoolchildren in Sri Lanka—a national survey. Sri Lanka J Child Health. 2004;33:78–81.CrossRef
24.
Rodrigo C, Welgama S, Gurusinghe J, Wijeratne T, Jayananda G, Rajapakse S. Symptoms of anxiety and depression in adolescent students; a perspective from Sri Lanka. Child Adolesc Psychiatry Ment Health. 2010;4:10.CrossRefPubMedPubMedCentral
25.
26.
Shin H, Puig A, Lee J, Lee JH, Lee SM. Cultural validation of the Maslach Burnout Inventory for Korean students. Asia Pacific Educ Rev. 2011;12(4):633–9.CrossRef
27.
Aypay A. Elementary School Student Burnout Scale for Grades 6–8: a study of validity and reliability. Kuram ve Uygulamada Egit Bilim. 2011;11(2):520–7.
28.
Lee J, Puig A, Kim YB, Shin H, Lee JH, Lee SM. Academic burnout profiles in Korean adolescents. Stress Health. 2010;26(5):404–16.CrossRef
29.
Wickramasinghe ND, Dissanayake DS, Abeywardena GS. Factorial structure, reliability and validity evidence of the Maslach Burnout Inventory-Student Survey in Sri Lanka. Manuscript submitted for publication. 2017.
30.
Maslach C, Leiter MP, Schaufeli W. Measuring burnout. In: Cooper CL, Cartwright S, editors. The Oxford handbook of organizational well-being. Oxford: Oxford University; 2009.
31.
32.
Schaufeli WB, Bakker AB, Hoogduin K, Schaap C, Kladler A. On the clinical validity of the Maslach Burnout Inventory and the burnout measure. Psychol Health. 2001;16:565–82.CrossRefPubMed
33.
Schaufeli WB, Leiter MP, Maslach C, Michael PL, Christina M. Burnout: 35 years of research and practice. Career Dev Int. 2009;14:204–20.CrossRef
34.
Roelofs J, Verbraak M, Keijsers GPJ, de Bruin MBN, Schmidt AJM. Psychometric properties of a Dutch version of the Maslach Burnout Inventory General Survey (MBI-DV) in individuals with and without clinical burnout. Stress Health. 2005;21:17–25.CrossRef
35.
36.
Kitaoka-Higashiguchi K, Morikawa Y, Miura K, Sakurai M, Ishizaki M, Kido T, et al. Burnout and risk factors for arteriosclerotic disease: follow-up study. J Occup Health. 2009;51:123–31.CrossRefPubMed
37.
Brenninkmeijer V. How to conduct research on burnout: advantages and disadvantages of a unidimensional approach in burnout research. Occup Environ Med. 2003;60:16i–20i.CrossRef
38.
Wickramasinghe ND, Dissanayake DS, Abeywardena GS. Clinical validity and diagnostic accuracy of the Maslach Burnout Inventory-Student Survey. Manuscript submitted for publication. 2017.
39.
Maslach C, Jackson SE, Leiter MP. Maslach burnout inventory manual. 3rd ed. Palo Alto: Consulting Psychologists Press; 1996.
40.
Lumley T. Analysis of complex survey samples. J Stat Softw. 2004;9(1):1–19.
41.
42.
Speybroeck N, Devleesschauwer B, Joseph L, Berkvens D. Misclassification errors in prevalence estimation: bayesian handling with care. Int J Public Health. 2013;58(5):791–5.CrossRefPubMed
43.
Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–9.CrossRefPubMed
44.
Zhang X, Klassen RM, Wang Y. Academic burnout and motivation of Chinese secondary students. Int J of Soc Sci Human. 2013;3(2):134–8.CrossRef
45.
Farber BA. Stress and burnout in suburban teachers. J Educ Res. 1984;77(6):325–31.CrossRef
46.
Jackson SE, Schwab RL, Schuler RS. Toward an understanding of the burnout phenomenon. J Appl Psychol. 1986;71(4):630–40.CrossRefPubMed
47.
Russell DW, Altmaier E, Van Velzen D. Job-related stress, social support, and burnout among classroom teachers. J Appl Psychol. 1987;72(2):269–74.CrossRefPubMed
48.
Pines A, Maslach C. Characteristics of staff burnout in mental health settings. Psychiatr Serv. 1978;29(4):233–7.CrossRef
49.
Vasalampi K, Salmela-Aro K, Nurmi JE. Adolescents’ self-concordance, school engagement, and burnout predict their educational trajectories. Eur Psychol. 2009;14(4):332–41.CrossRef
50.
Ryan RM, Connell JP. Perceived locus of causality and internalization: examining reasons for acting in two domains. J Pers Soc Psychol. 1989;57(5):749–61.CrossRefPubMed
51.
Sheldon KM, Elliot AJ. Goal striving, need satisfaction, and longitudinal well-being: the self-concordance model. J Pers Soc Psychol. 1999;76(3):482–97.CrossRefPubMed
52.
Sheldon KM, Elliot AJ. Not all personal goals are personal: comparing autonomous and controlled reasons for goals as predictors of effort and attainment. Pers Soc Psychol Bull. 1998;24(5):546–57.CrossRef
53.
Sheldon KM, Ryan RM, Deci EL, Kasser T. The independent effects of goal contents and motives on well-being: it’s both what you pursue and why you pursue it. Pers Soc Psychol Bull. 2004;30(4):475–86.CrossRefPubMed
54.
Bonell C, Fletcher A, Fitzgerald-Yau N, Hale D, Allen E, Elbourne D, Legood R. Initiating change locally in bullying and aggression through the school environment (INCLUSIVE): a pilot randomised controlled trial. Health Technol Assess. 2015;19(53):1–10.CrossRefPubMedPubMedCentral
55.
Sampasa-Kanyinga H, Roumeliotis P, Xu H. Associations between cyberbullying and school bullying victimization and suicidal ideation, plans and attempts among Canadian schoolchildren. PLoS ONE. 2014;9(7):e102145.CrossRefPubMedPubMedCentral
Metadata
Title
Prevalence and correlates of burnout among collegiate cycle students in Sri Lanka: a school-based cross-sectional study
Authors
Nuwan Darshana Wickramasinghe
Devani Sakunthala Dissanayake
Gihan Sajiwa Abeywardena
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Child and Adolescent Psychiatry and Mental Health / Issue 1/2018
Electronic ISSN: 1753-2000
DOI
https://doi.org/10.1186/s13034-018-0238-z

Other articles of this Issue 1/2018

Child and Adolescent Psychiatry and Mental Health 1/2018 Go to the issue

Research article

The role of attachment relationship in adolescents’ problem behavior development: a cross-sectional study of Kenyan adolescents in Nairobi city

Research Article

RETRACTED ARTICLE: Mental health status, and suicidal thoughts and behaviors of migrant children in eastern coastal China in comparison to urban children: a cross-sectional survey

Research article

The relationship between the development of social competence and sleep in infants: a longitudinal study

Review

A systematic review of wellbeing in children: a comparison of military and civilian families

Research article

Global burden of mental disorders among children aged 5–14 years

Research article

Somatic symptom and related disorders in children and adolescents: evaluation of a naturalistic inpatient multidisciplinary treatment