| Literature DB >> 31807591 |
Pardis Rahmatpour1, Minoomitra Chehrzad2, Atefeh Ghanbari2, Seyyed-Reza Sadat-Ebrahimi3.
Abstract
BACKGROUND: Academic burnout is a worldwide problem that troubles students at all academic levels. Despite the significant effects of this problem on students' mental health and academic achievements, yet, it has not been adequately studied in Iranian system of academic education. Therefore, we aimed to explore the incidence of academic burnout status and its associated factors among the students at Guilan University of Medical Sciences. SUBJECTS AND METHODS: This cross-sectional study was conducted over a number of 303 students at Guilan University of Medical Sciences during 2016. Study samples were selected through the stratified random sampling method, and a set of data including sociodemographic information, educational status, study habits, and burnout inventory status was collected for each sample. Items of burnout inventory status were based on the Maslach Burnout Inventory. Data were analyzed using descriptive and inferential statistics including t-test and linear regression.Entities:
Keywords: Academic burnout; Maslach Burnout Inventory; educational psychology; undergraduate students
Year: 2019 PMID: 31807591 PMCID: PMC6852272 DOI: 10.4103/jehp.jehp_165_19
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Sociodemographic and educational features and study habits of included students
| Variables | |
|---|---|
| Marital status | |
| Single | 261 (87.3) |
| Married | 38 (12.7) |
| Socioeconomic status | |
| Good | 87 (28.8) |
| Moderate | 201 (66.6) |
| Poor | 14 (4.6) |
| Academic field | |
| Nursing | 89 (29.4) |
| Midwifery | 56 (18.5) |
| Health | 70 (23.1) |
| EMT | 10 (3.3) |
| Paramedical | 78 (25.7) |
| Interest in field of study | |
| High | 103 (34.0) |
| Moderate | 159 (52.5) |
| Low | 33 (10.9) |
| No interest | 8 (2.6) |
| GPA | |
| <16 | 107 (45.0) |
| ≥16 | 131 (55.0) |
| Place of study | |
| Personal room | 213 (70.3) |
| Library | 34 (11.2) |
| Dormitory | 50 (16.5) |
| Other | 6 (2.0) |
| Study condition | |
| Quiet | 282 (93.0) |
| Busy | 15 (5.0) |
| Both | 6 (2.0) |
| Time of study | |
| During the semester | 124 (40.9) |
| 2 weeks before examination | 71 (23.4) |
| 1 week before examination | 53 (17.5) |
| Night before examination | 55 (18.2) |
GPA=Grade point average, EMT=Emergency medical technician
Comparison of academic burnout subscales and students’ gender
| Subscale | Mean±SD | ||||
|---|---|---|---|---|---|
| Total | Female | Male | |||
| Exhaustion | 2.41±1.3 | 2.41±1.4 | 2.41±1.2 | −0.03 | 0.97 |
| Cynicism | 2.03±1.5 | 1.96±1.5 | 2.25±1.4 | −1.48 | 0.15 |
| Academic inefficacy | 2.52±1.1 | 2.48±1.2 | 2.64±1.0 | −1.14 | 0.25 |
| MBI-SS total | 2.53±0.7 | 2.35±0.5 | 2.87±0.9 | −1.5 | 0.13 |
SD=Standard deviation, MBI-SS=Maslach Burnout Inventory-Student Survey
Multivariate linear regression of factors associated with academic burnout
| Evaluated factor | SE | β | CI | Adjusted | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||||
| Marital status | −0.33 | 0.15 | −0.12 | −2.19 | 0.02 | −0.63 | −0.03 | 0.55 | 0.31 | 0.30 |
| Time of study | 0.19 | 0.22 | 0.234 | 4.07 | 0.000 | 0.10 | 0.28 | |||
| GPA | −0.33 | 0.10 | −1.17 | −3.08 | 0.002 | −0.54 | −0.12 | |||
| Interest in field | −0.56 | 0.07 | −0.42 | −7.69 | 0.000 | −0.71 | −0.42 | |||
GPA=Grade point average, SE=Standard error, CI=Confidence interval