A Risk Profile of Sociodemographic Factors in the Onset of Academic Burnout Syndrome in a Sample of University Students

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Abstract

Studying for a university degree can be very demanding, as students must cope with a variety of academic, social and personal challenges. If these demands persist, and if there are insufficient resources with which to address them, they will eventually provoke stress. When stress is present for long periods of time, it can lead to academic burnout syndrome, the signs of which are emotional exhaustion, depersonalisation and inadequate personal accomplishment. This paper considers certain sociodemographic factors (age, sex, children, marital status, employment status, degree subject, faculty, academic year) in the identification of a risk profile of developing burnout syndrome. This study is cross-sectional, associative and ex post facto. The Maslach Burnout Inventory-Student Survey was administered to 445 students in the University of Granada. According to the risk profile obtained, first-year male students in Primary Education and Social Education courses are at risk of developing burnout syndrome.

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How Many Subjects Does It Take To Do A Regression Analysis.

S Green (1991)

Numerous rules-of-thumb have been suggested for determining the minimum number of subjects required to conduct multiple regression analyses. These rules-of-thumb are evaluated by comparing their results against those based on power analyses for tests of hypotheses of multiple and partial correlations. The results did not support the use of rules-of-thumb that simply specify some constant (e.g., 100 subjects) as the minimum number of subjects or a minimum ratio of number of subjects (N) to number of predictors (m). Some support was obtained for a rule-of-thumb that N ≥ 50 + 8 m for the multiple correlation and N ≥104 + m for the partial correlation. However, the rule-of-thumb for the multiple correlation yields values too large for N when m ≥ 7, and both rules-of-thumb assume all studies have a medium-size relationship between criterion and predictors. Accordingly, a slightly more complex rule-of thumb is introduced that estimates minimum sample size as function of effect size as well as the number of predictors. It is argued that researchers should use methods to determine sample size that incorporate effect size.

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School Burnout Inventory (SBI)

Katariina Salmela-Aro, Noona Kiuru, Esko Leskinen … (2009)

This study introduces a measure for school burnout and examines its validity and reliability among students in upper secondary high schools and vocational schools by using confirmatory factor analysis. School-related burnout comprises three dimensions: (a) exhaustion at school, (b) cynicism toward the meaning of school, and (c) sense of inadequacy at school. A total of 1418 (709 girls, 709 boys) adolescents from 13 postcomprehensive schools (6 upper secondary high schools, 7 vocational schools) filled in a questionnaire concerning their school burnout and background variables. The results showed that the three-factor solution, compared to one- or two-factor solutions, fit the data best and also gave the best reliability indices. The three theoretically-derived dimensions of school burnout were closely related but separate constructs. Finally, concurrent validity for the School-Burnout Inventory (SBI) was found when the correlations of depressive symptoms, school engagement, and academic achievement with each of the three dimensions of school burnout were examined: The more depressive symptoms adolescents suffered, the more exhaustion, cynicism, and inadequacy they reported; and the lower their academic achievement and school engagement, the more cynicism and inadequacy they reported.

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Is Open Access

Gender, Marital Status, and Children as Risk Factors for Burnout in Nurses: A Meta-Analytic Study

Guillermo A. Cañadas-De la Fuente, Elena Ortega, Lucia Ramirez-Baena … (2018)

The correlation between the burnout syndrome and sociodemographic variables in nursing professionals has been widely studied though research results are contradictory. The aim of this study was to assess the impact of gender, marital status, and children on the dimensions of the burnout syndrome (emotional exhaustion, depersonalization, and personal accomplishment) in nursing professionals, as measured with the Maslach Burnout Inventory. The search was performed in May 2018 in the next databases: CINAHL, CUIDEN, Dialnet, Psicodoc, ProQuest Platform, OVID Platform, and Scopus with the search equation (“Maslach Burnout Inventory” OR “MBI”) AND “nurs*”, without using any search restriction. The sample was n = 78 studies: 57 studies for gender; 32 for marital status; 13 for having children. A statistically significant relation between depersonalization and gender (r = 0.078), marital status (r = 0.047), and children (r = 0.053) was found. A significant relation was also found between emotional exhaustion and children (r = 0.048). The results showed that being male, being single or divorced, and not having children were related to the highest levels of burnout in nurses. Moreover, these relations could be accentuated by the influence of moderator variables (age, seniority, job satisfaction, etc.), which, in combination with the previously mentioned significant relations, should be evaluated in the design burnout risk profiles for nursing professionals.

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Author and article information

Journal

Journal ID (nlm-ta): Int J Environ Res Public Health

Journal ID (iso-abbrev): Int J Environ Res Public Health

Journal ID (publisher-id): ijerph

Title: International Journal of Environmental Research and Public Health

Publisher: MDPI

ISSN (Print): 1661-7827

ISSN (Electronic): 1660-4601

Publication date (Electronic): 27 February 2019

Publication date (Print): March 2019

Volume: 16

Issue: 5

Electronic Location Identifier: 707

Affiliations

[1 ]Campus Universitario de Cartuja, Faculty of Psychology, University of Granada, 18071 Granada, Spain; raguayo@ 123456ugr.es

[2 ]Campus Universitario de la Cartuja, Department of Didactic of Mathematics, Faculty of Education, University of Granada, 18071 Granada, Spain; grcanadas@ 123456ugr.es

[3 ]Social Psychology Department, Faculty of Social Sciences, University of Granada, Santander, 1, 52005 Melilla, Spain; latifaassbaa@ 123456correo.ugr.es

[4 ]Nursing Department, Faculty of Health Sciences, University of Granada, Avenida de la Ilustración, 60, 18016 Granada, Spain

[5 ]Campus Universitario de Cartuja, Brain, Mind and Behaviour Research Center (CIMCYC), University of Granada, 18071 Granada, Spain; luciarb@ 123456correo.ugr.es

[6 ]Faculty of Psychology, University of Almería, Carretera de Sacramento s/n, 04120 Almería, Spain; elenaortega@ 123456ugr.es

Author notes

[* ]Correspondence: gacf@ 123456ugr.es ; Tel.: +34-958-248759

Author information

Raimundo Aguayo https://orcid.org/0000-0001-7276-9394

Guillermo A. Cañadas-De la Fuente https://orcid.org/0000-0002-3012-3410

Lucía Ramírez-Baena https://orcid.org/0000-0001-8787-9887

Article

Publisher ID: ijerph-16-00707

DOI: 10.3390/ijerph16050707

PMC ID: 6427695

PubMed ID: 30818820

SO-VID: a3c1289b-c17b-424a-a63f-6a8ded8b6225

License:

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

A Risk Profile of Sociodemographic Factors in the Onset of Academic Burnout Syndrome in a Sample of University Students

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Most cited references 30

How Many Subjects Does It Take To Do A Regression Analysis.

School Burnout Inventory (SBI)

Gender, Marital Status, and Children as Risk Factors for Burnout in Nurses: A Meta-Analytic Study

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