Students’ Depression and School Burnout in the Context of Family Network Acceptance and Deviation from Balanced Time Perspective
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Sample
2.2. Instruments
2.3. Statistical Data Analysis
3. Results
3.1. Preliminary Analyses
3.2. Predictors of Depression
3.3. Depression as a Function of the Interactions between Independent Variables (Student Burnout, Deviation from Balanced Time Perspective) and Moderators (Gender, Family Network Acceptance)
3.4. Simple Mediation Effect of DBPT on the Association between Student Burnout and Depression (Model 1)
3.5. The Moderation–Mediation Analysis (Model 2)
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Keyes, K.M.; Gary, D.; O’Malley, P.M.; Hamilton, A.; Schulenberg, J. Recent increases in depressive symptoms among US adolescents: Trends from 1991 to 2018. Soc. Psychiatry Psychiatr. Epidemiol. 2019, 54, 987–996. [Google Scholar] [CrossRef] [PubMed]
- Dudek, M. Depresja wśród młodzieży licealnej (Depression among high-school students). Rocz. Kom. Nauk Pedagog. 2014, 67, 139–151. Available online: https://journals.pan.pl/dlibra/publication/95219/edition/82113/content (accessed on 1 February 2022).
- Jacobs, S.R.; Dodd, D.K. Student Burnout as a Function of Personality, Social Support, and Workload. J. Coll. Stud. Dev. 2003, 44, 291–303. [Google Scholar] [CrossRef]
- Freudenberger, H.J. Staff Burn-Out. J. Soc. Issues 1974, 30, 159–165. [Google Scholar] [CrossRef]
- Maslach, C.H.; Jackson, S.; Leiter, M. The Maslach Burnout Inventory Manual. In Evaluating Stress: A Book of Resources; Zalaquett, C.P., Wood, R.J., Eds.; The Scarecrow Press: Lanham, MD, USA, 1997. [Google Scholar]
- Kiuru, N.; Aunola, K.; Nurmi, J.-E.; Leskinen, E.; Salmela-Aro, K. Peer group influence and selection in adolescents’ school burnout: A longitudinal study. Merrill-Palmer Q. 2008, 54, 23–55. [Google Scholar] [CrossRef]
- Salmela-Aro, K.; Vuori, J.; Koivisto, P. Adolescents’ motivational orientations, school-subject values, and well-being: A person-centered approach. Hell. J. Psychol. 2007, 4, 310–330. [Google Scholar]
- Tuominen, H.; Salmela-Aro, K.; Niemivirta, M. Achievement goal orientations and subjective well-being: A person-centred analysis. Learn. Instr. 2008, 18, 251–266. [Google Scholar] [CrossRef]
- Aypay, A.; Sever, M. School as if a workplace: Exploring burnout among high school students/Bir iş yeri gibi okul: Lise öğrencileri arasında tükenmişliğin keşfi. Eğitimde Kuram Uygul. 2015, 11, 460–472. [Google Scholar]
- Salmela-Aro, K.; Savolainen, H.; Holopainen, L. Depressive symptoms and school burnout during adolescence: Evidence from two cross-lagged longitudinal studies. J. Youth Adolesc. 2009, 38, 1316–1327. [Google Scholar] [CrossRef]
- Parker, P.D.; Salmela-Aro, K. Developmental processes in school burnout: A comparison of major developmental models. Learn. Individ. Differ. 2011, 21, 244–248. [Google Scholar] [CrossRef]
- Stolarski, M.; Matthews, G.; Postek, S.; Zimbardo, P.G.; Bitner, J. How we feel is a matter of time: Relationships be tween time perspectives and mood. J. Happiness Stud. 2014, 15, 809–827. [Google Scholar] [CrossRef]
- Zimbardo, P.G.; Boyd, J.N. Putting time in perspective: A valid, reliable individual-difference metric. J. Personal. Soc. Psychol. 1999, 77, 1271–1288. [Google Scholar] [CrossRef]
- Zimbardo, P.G.; Boyd, J.N. The Time Paradox; Free Press: New York, NY, USA, 2008. [Google Scholar]
- Anagnostopoulos, F.; Griva, F. Exploring Time Perspective in Greek Young Adults: Validation of the Zimbardo Time Perspective Inventory and Relationships with Mental Health Indicators. Soc. Indic. Res. 2012, 106, 41–59. [Google Scholar] [CrossRef]
- Stolarski, M.; Bitner, J.; Zimbardo, P.G. Time perspective, emotional in telligence and discounting of delayed awards. Time Soc. 2011, 20, 346–363. [Google Scholar] [CrossRef]
- Zhang, J.W.; Howell, R.T. Do time perspectives predict unique variance in life satisfaction beyond personality traits? Personal. Individ. Differ. 2011, 50, 1261–1266. [Google Scholar] [CrossRef]
- Drake, L.; Duncan, E.; Sutherland, F.; Abernethy, C.; Henry, C. Time perspective and correlates of wellbeing. Time Soc. 2008, 17, 47–61. [Google Scholar] [CrossRef] [Green Version]
- Veenhoven, R. Hedonism and Happiness. J. Happiness Stud. Interdiscip. Forum Subj. Well-Being 2003, 4, 437–457. [Google Scholar] [CrossRef]
- Disabato, D.J.; Kashdan, T.B.; Short, J.L.; Jarden, A. What Predicts Positive Life Events that Influence the Course of Depression? A Longitudinal Examination of Gratitude and Meaning in Life. Cogn. Ther. Res. 2017, 41, 444–458. [Google Scholar] [CrossRef]
- Barnett, M.; Melugin, P.; Hernandez, J. Time Perspective, Intended Academic Engagement, and Academic Performance. Curr. Psychol. 2020, 39, 761–767. [Google Scholar] [CrossRef]
- Dollete, M.; Steese, S.; Phillips, W.; Matthews, G. Understanding girls’ circle as an intervention on perceived social support, body image, self-efficacy, locus of control and self-esteem. J. Psychol. 2004, 90, 204–215. [Google Scholar]
- Dafaalla, M.; Farah, A.; Bashir, S.; Khalil, A.; Abdulhamid, R.; Mokhtar, M.; Mahadi, M.; Omer, Z.; Suliman, A.; Elkhalifa, M.; et al. Depression, Anxiety, and Stress in Sudanese Medical Students: A Cross Sectional Study on Role of Quality of Life and Social Support. Am. J. Educ. Res. 2016, 4, 937–942. [Google Scholar] [CrossRef]
- Bowlby, J. Attachment and Loss: 1969/1982; Basic Books: New York, NY, USA, 1969; Volume 1. [Google Scholar]
- Friedlander, L.; Reid, G.; Shupak, N.; Cribbie, R. Social Support, Self-Esteem, and Stress as Predictors of Adjustment to University Among First-Year Undergraduates. J. Coll. Stud. Dev. 2007, 48, 259–274. [Google Scholar] [CrossRef] [Green Version]
- Awang, M.; Kutty, F.; Ahmad, A. Perceived Social Support and Well Being: First-Year Student Experience in University. Int. Educ. Stud. 2014, 7, 261–270. [Google Scholar] [CrossRef] [Green Version]
- Muchacka-Cymerman, A.; Tomaszek, K. Syndrom wypalenia w zawodzie nauczyciela i w roli ucznia. Przegląd literaturowy. Forum Oświatowe 2017, 29, 95–115. Available online: https://forumoswiatowe.pl/index.php/czasopismo/article/view/526 (accessed on 1 February 2022).
- Salmela-Aro, K.; Kiuru, N.; Leskinen, E.; Nurmi, J.E. School burnout inventory (SBI) reliability and validity. Eur. J. Psychol. Assess. 2009, 25, 48–57. [Google Scholar] [CrossRef]
- Salmela-Aro, K.; Upadyaya, K.; Hakkarainen, K.; Lonka, K.; Alho, K. The dark side of internet use: Two longitudinal studies of excessive internet use, depressive symptoms, school burnout and engagement among Finnish early and late adolescents. J. Youth Adolesc. 2017, 46, 343–357. [Google Scholar] [CrossRef]
- Papastamatelou, J.; Unger, A. Differences in burnout proneness depend on time perspective–evidence from an occupational sample of industrial employees and MBA students. Dialogues Clin. Neurosci. Ment. Health 2018, 1, 52–57. [Google Scholar]
- Stolarski, M.; Zajenkowski, M.; Jankowski, K.; Szymaniak, K. Deviation from the balanced time perspective: A systematic review of empirical relationships with psychological variables. Personal. Individ. Differ. 2020, 156, 109772. [Google Scholar] [CrossRef]
- Tomaszek, K.; Muchacka-Cymerman, A. Polish Adaptation of the ESSBS School-Burnout Scale: Pilot Study Results. Hacet. Üniversitesi Eğitim Fakültesi Derg. 2019, 34, 418–433. [Google Scholar] [CrossRef]
- Aypay, A. Elementary School Student Burnout Scale for Grades 6-8: A Study of Validity and Reliability. Educ. Sci. Theory Pract. 2011, 11, 520–527. [Google Scholar]
- Mojs, E.; Bartkowska, W.; Kaczmarek, Ł.D.; Ziarko, M.; Bujacz, A.; Warchoł-Biedermann, K. Właściwości psychometryczne polskiej wersji skróconej Skali Depresji Kutchera dla Młodzieży (Kutcher Adolescent Depression Scale)– pomiar depresji w grupie studentów. Psychiatr. Pol. 2015, 49, 135–144. [Google Scholar] [CrossRef] [PubMed]
- Przepiórka, A. The Determinants of Realizing Entrepreneurial Goals. Ph.D. Thesis, Katolicki Uniwersytet Lubelski Jana Pawła II, Lublin, Poland, 2011, unpublished. [Google Scholar]
- Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis; Guilford Press: New York, NY, USA, 2017. [Google Scholar]
- Burns, E.C.; Martin, A.J.; Collie, R.J. A future time perspective of secondary school students’ academic engagement and disengagement: A longitudinal investigation. J. Sch. Psychol. 2021, 84, 109–123. [Google Scholar] [CrossRef]
- Fiorilli, C.; Albanese, O.; Gabola, P.; Pepe, A. Teachers’ emotional competence and social support: Assessing the mediating role of teacher burnout. Scand. J. Educ. Res. 2017, 61, 127–138. [Google Scholar] [CrossRef]
- Jankowski, K.S.; Zajenkowski, M.; Stolarski, M. What are the optimal levels of time perspectives? Deviation from the balanced time perspective-revisited (DBTP-r). Psychol. Belg. 2020, 60, 164–183. [Google Scholar] [CrossRef] [PubMed]
- McKay, M.T.; Cole, J.C. Does deviation from a balanced time perspective meaningfully relate to alcohol use and symptoms of anxiety and depression? Comparing results using DBTP and DBTP-r. Curr. Psychol. 2021. [Google Scholar] [CrossRef]
- Kruger, D.J.; Reischl, T.; Zimmerman, M.A. Time perspective as a mechanism for functional developmental adaptation. J. Soc. Evol. Cult. Psychol. 2008, 2, 1–22. [Google Scholar] [CrossRef] [Green Version]
- Sobol-Kwapińska, M. Calm down— It’s only neuroticism. Time perspectives as moderators and bmediators of the relationship between neuroticism and well-being. Personal. Individ. Differ. 2016, 94, 64–71. [Google Scholar] [CrossRef]
- Stolarski, M.; Fieulaine, N.; Zimbardo, P.G. Putting time in a wider perspective: The past, the present, and the future of time perspective theory. In The SAGE Handbook of Personality and Individual Differences; Zeigler-Hill, V., Shackelford, T., Eds.; SAGE: Thousand Oakes, CA, USA, 2018; pp. 592–628. [Google Scholar]
- Schaufeli, W.B.; De Witte, H.; Desart, S. Manual Burnout Assessment Tool (BAT). Version 2.0; KU Leuven: Leuven, Belgium, 2020. [Google Scholar]
- Boniwell, I.; Osin, E.; Sircova, A. Introducing time perspective coaching: A new approach to improve time management and enhance well-being. Int. J. Evid. Based Coach. Mentor. 2014, 12, 24–40. [Google Scholar]
- Boniwell, I.; Zimbardo, P.G. Balancing time perspective in pursuit of opti mal functioning. In Positive Psychology in Practice; Linley, P.A., Joseph, S., Eds.; John Wiley & Sons: Hoboken, NJ, USA, 2004; pp. 165–178. [Google Scholar]
- Salk, R.H.; Hyde, J.S.; Abramson, L.Y. Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychol. Bull. 2017, 143, 783–822. [Google Scholar] [CrossRef]
- Slivar, B. The syndrome of burnout, self-image, and anxiety with grammar school students. Psihol. Obz. Horiz. Psychol. 2001, 10, 21–32. [Google Scholar]
- Bodecka, M.; Nowakowska, I.; Zajenkowska, A.; Rajchert, J.; Kaźmierczak IJelonkiewicz, I. Gender as a moderator between Present-Hedonistic time perspective and depressive symptoms or stress during COVID-19 lock-down. Personal. Individ. Differ. 2021, 168, 110395. [Google Scholar] [CrossRef] [PubMed]
Variables | Boys (n = 140) | Girls (n = 215) | t(353) | p | Cohen’s d | 1 | 2 | 3 | ||
---|---|---|---|---|---|---|---|---|---|---|
M | SD | M | SD | |||||||
1. DBTP | 2.94 | 0.62 | 2.91 | 0.71 | 0.40 | 0.693 | - | - | 0.27 ** (b) | 0.47 *** (b) |
2. SSBS | 87.79 | 12.80 | 87.01 | 13.16 | 0.55 | 0.580 | - | 0.45 *** (a) | - | 0.05 (b) |
3. DEP | 4.36 | 3.85 | 5.65 | 4.33 | −2.85 | 0.005 | 0.32 | 0.49 *** (a) | 0.40 *** (a) | - |
Variables | Low Family Network Acceptance (n = 171) | High Family Network Acceptance (n = 184) | t(353) | p | Cohen’s d | 1 | 2 | 3 | ||
---|---|---|---|---|---|---|---|---|---|---|
M | SD | M | SD | |||||||
1. DBTP | 3.11 | 0.65 | 2.75 | 0.66 | 5.29 | <0.0001 | 0.55 | - | 0.34 *** (b) | 0.46 *** (b) |
2. SSBS | 89.61 | 12.25 | 85.19 | 13.35 | 3.25 | 0.001 | 0.35 | 0.38 *** (a) | - | 0.35 *** (b) |
3. DEP | 6.37 | 4.16 | 4.00 | 3.90 | 5.54 | <0.0001 | 0.59 | 0.41 *** (a) | 0.11 (a) | - |
Variables | Beta | SE | ß | t | p | 95% CI | |
---|---|---|---|---|---|---|---|
LL | UL | ||||||
Gender | 1.47 | 0.38 | 0.17 | 3.80 | <0.001 | 0.67 | 2.18 |
Family network acceptance | −0.71 | 0.39 | −0.17 | −3.62 | <0.001 | −1.10 | −0.33 |
Student school burnout | 0.03 | 0.02 | 0.09 | 1.89 | 0.071 | −0.002 | 0.06 |
DBTP | 2.49 | 0.34 | 0.40 | 8.00 | <0.001 | 1.88 | 2.23 |
Statistics for regression model | F(350) = 35.61 | p < 0.0001 | R = 0.54 | R2 = 0.29 | ∆R2 = 0.28 |
Variables | Outcome | |||||
---|---|---|---|---|---|---|
Coefficient | SE | t | p | 95% CI | ||
LL | UL | |||||
Gender | 0.16 | 0.20 | 3.46 | 0.001 | 0.39 | 1.07 |
DBTP | 0.48 | 0.30 | 9.79 | <0.001 | 2.37 | 3.56 |
DBTP × Gender | 0.01 | 0.30 | 0.17 | 0.869 | −0.55 | 0.65 |
Model Summary | F(3351) = 39.83; p < 0.001; R = 0.50; R2 = 0.25; ∆R2 = 0.25; R2 change = 0.00 | |||||
Bootstrap method | 0.05 | 0.869 | −0.51 | 0.68 | ||
Gender | 0.16 | 0.43 | 3.11 | 0.002 | 0.49 | 2.17 |
SSBS | 0.23 | 0.02 | 4.45 | <0.001 | 0.04 | 0.11 |
SSBS × Gender | 0.18 | 0.02 | 3.50 | 0.001 | 0.03 | 0.09 |
Model Summary | F(2352) = 16.97; p < 0.001; R = 0.36; R2 = 0.13; ∆R2 = 0.11; R2 change = 0.03 | |||||
Bootstrap method | 0.06 | 0.001 | 0.02 | 0.09 | ||
Family network acceptance | −0.17 | 0.20 | −3.46 | 0.001 | −1.09 | −0.30 |
DBTP | 0.43 | 0.30 | 9.02 | <0.001 | 2.10 | 3.27 |
DBTP × Family network acceptance | 0.01 | 0.30 | 0.22 | 0.828 | −0.52 | 0.65 |
Model Summary | F(2352) = 39. 80; p = <0.001; R = 0.50; R2 = 0.25; ∆R2 = 0.25; R2 change = 0.00 | |||||
Bootstrap method | 0.07 | 0.807 | −0.45 | 0.60 | ||
Family network acceptance | −0.25 | 0.21 | −4.92 | <0.001 | −1.45 | −0.62 |
SSBS | 0.21 | 0.02 | 4.21 | <0.001 | 0.04 | 0.10 |
SSBS × Family network acceptance | 0.10 | 0.02 | 2.01 | 0.045 | 0.001 | 0.07 |
Model Summary | F(2352)= 18.93; p = <0.001; R = 0.37; R2 = 0.14; ∆R2 = 0.13; R2 change = 0.01 | |||||
Bootstrap method | 0.03 | 0.067 | −0.001 | 0.07 |
Effect | Path | Unstandardized Effects | SE | Standardized Effects | t | p | 95%CI | |
---|---|---|---|---|---|---|---|---|
LL | UL | |||||||
Direct effects | SSBS→DEP(c) | 0.09 | 0.02 | 0.27 | 5.21 | <0.001 | 0.05 | 0.50 |
SSBS→DEP(c’) | 0.03 | 0.02 | 0.10 | 1.93 | 0.054 | −0.001 | 0.06 | |
SSBS→DBTP | 0.02 | 0.003 | 0.39 | 7.84 | <0.001 | 0.02 | 0.03 | |
DBTP→DEP | 2.73 | 0.31 | 0.44 | 8.72 | <0.001 | 2.11 | 3.35 | |
Indirect effect | SSBS→DBTP→DEP | 0.05 | 0.01 | 0.17 | 0.012 | 0.23 |
Path | Unstandardized Indirect Effects | SE | 95% CI | ||
---|---|---|---|---|---|
LL | UL | ||||
Direct effects | SSBS→DEP | 0.03 | 0.02 | −0.004 | 0.06 |
SSBS→DBTP | 0.02 | 0.003 | 0.02 | 0.03 | |
DBTP→DEP | 2.43 | 0.31 | 1.82 | 3.04 | |
Gender→DEP | 0.72 | 0.19 | 0.34 | 1.09 | |
Family network acceptance→DEP | −0.74 | 0.19 | −1.13 | −0.36 | |
Interaction effects | SSBS and Gender→DEP | 0.05 | 0.02 | 0.02 | 0.08 |
SSBS and Family network acceptance→DEP | 0.04 | 0.02 | 0.01 | 0.07 | |
DBTP and Gender→DEP | −0.35 | 0.31 | −0.96 | 0.26 | |
DBTP and Family network acceptance→DEP | −0.21 | 0.31 | −0.82 | 0.39 | |
Indirect effect | SSBS→DBPT→DEP | 0.06 | 0.02 | 0.03 | 0.10 |
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Macałka, E.; Tomaszek, K.; Kossewska, J. Students’ Depression and School Burnout in the Context of Family Network Acceptance and Deviation from Balanced Time Perspective. Educ. Sci. 2022, 12, 157. https://doi.org/10.3390/educsci12030157
Macałka E, Tomaszek K, Kossewska J. Students’ Depression and School Burnout in the Context of Family Network Acceptance and Deviation from Balanced Time Perspective. Education Sciences. 2022; 12(3):157. https://doi.org/10.3390/educsci12030157
Chicago/Turabian StyleMacałka, Emilia, Katarzyna Tomaszek, and Joanna Kossewska. 2022. "Students’ Depression and School Burnout in the Context of Family Network Acceptance and Deviation from Balanced Time Perspective" Education Sciences 12, no. 3: 157. https://doi.org/10.3390/educsci12030157
APA StyleMacałka, E., Tomaszek, K., & Kossewska, J. (2022). Students’ Depression and School Burnout in the Context of Family Network Acceptance and Deviation from Balanced Time Perspective. Education Sciences, 12(3), 157. https://doi.org/10.3390/educsci12030157