Table of Contents
Abstract
medical education is universally recognized as a highly demanding pursuit, often placing immense psychological and emotional burdens on students. While broad psychological assessments can capture general distress, they frequently miss the nuanced, environment-specific pressures inherent to medical training. To address this measurement gap, researchers adapted the Perceived Medical School Stress (PMSS) scale for the Chinese cultural and educational context. This localized instrument provides a highly specialized psychometric tool designed to quantify the unique stressors encountered by medical students, such as intense academic competition, clinical expectations, and professional identity formation.
The PMSS functions as a vital diagnostic asset for educational administrators and mental health practitioners operating within medical institutions. By isolating stressors specific to the medical curriculum, the scale empowers institutions to identify vulnerable students before they succumb to severe burnout, depressive symptoms, or a loss of clinical empathy. The successful validation of the Chinese version holds particular importance given the vast scale of medical education in China and the distinct cultural expectations surrounding academic success and professional prestige in the region.
📊 Psychometric Scorecard
13
Multidimensional
0.91
0.91
📍 China
Authors
Purpose
The primary goal of the Chinese PMSS is to provide a targeted assessment mechanism that distinguishes the unique pressures of medical training from general life stress. Historically, researchers evaluating Chinese medical students have relied on broad-spectrum tools like the DASS-21 or the General Health Questionnaire. Unfortunately, these generalized instruments lack the specificity required to pinpoint pedagogical and environmental triggers unique to medical colleges. By establishing a validated, culturally adapted version of the PMSS, psychometricians and medical educators now have a precise metric to evaluate how intense curricula, peer competition, and faculty dynamics specifically impact student mental health. This level of precision is essential for developing tailored institutional support systems rather than relying on generic stress-management interventions.
Construct
The psychological construct measured by the PMSS centers on the subjective appraisal of environmental and academic demands within a medical school setting. Grounded in the transactional theory of stress, the instrument assumes that psychological distress occurs when a student perceives that the rigorous demands of their medical education exceed their personal coping resources. The scale captures a multifaceted experience, structurally dividing into two primary dimensions as revealed by reliability analyses. These underlying dimensions likely represent the dual burdens of academic overload and the complex social or professional role expectations placed upon future healthcare providers, reflecting the intense pressure to master extensive medical knowledge while simultaneously cultivating a professional clinical identity.
Validity
The validation framework for the Chinese PMSS revealed excellent psychometric properties across multiple evaluative dimensions. To establish construct validity, researchers analyzed the scale's relationship with established psychological metrics, yielding theoretically consistent results. Demonstrating strong convergent validity, the PMSS showed a robust positive correlation with sleep disturbances, specifically correlating with the Insomnia Severity Index at r = 0.504. Furthermore, it displayed a negative association with general self-efficacy (r = -0.108), supporting the hypothesis that intense academic stress can diminish a student's confidence in their own capabilities. Item analysis also confirmed strong discriminant validity, as the tool successfully differentiated between distinct high-stress and low-stress student cohorts using statistically derived cutoff thresholds.
Convergent & Discriminant Validation Correlations
| Reference Instrument | Correlation Coefficient (r) |
|---|---|
| Insomnia Severity Index | r=0.504 |
| General Self-Efficacy Scale | r=-0.108 |
Reliability
The internal consistency of the Chinese adaptation is exceptionally high, confirming that its 13 items reliably capture the unified construct of medical school stress. The complete scale achieved a Cronbach's alpha of 0.911, comfortably exceeding the standard psychometric threshold for excellent reliability. When evaluating its two underlying factors, the alpha coefficients remained strong at 0.899 and 0.851. To provide a more rigorous estimate of general factor saturation, researchers also calculated a McDonald's Omega, which yielded a highly satisfactory value of 0.914. Additionally, the instrument demonstrated excellent temporal stability; a three-week test-retest analysis produced a correlation coefficient of 0.794, indicating that the scale measures enduring appraisals of the educational environment rather than fleeting daily moods.
Factor Analysis
While the specific goodness-of-fit indices from the confirmatory factor analysis were not exhaustively detailed in the provided text, the structural evaluation confirmed that the 13-item instrument operates effectively across a two-factor model. This multidimensional architecture indicates that perceived stress among Chinese medical students is not a singular, monolithic experience, but rather consists of distinct thematic clusters. Item-total correlations were notably strong, ranging from 0.618 to 0.746, which demonstrates that each individual question contributes significantly to the overall measurement model without introducing unnecessary redundancy. Furthermore, the deletion of any single item resulted in alpha values between 0.902 and 0.909, proving that all 13 items are essential for maintaining the scale's optimal structural integrity.
Instrument
| Test Type | Self-report questionnaire |
| Format | 13 items, Likert-type scale |
| Scoring | Total score is calculated by summing the items. Cutoff scores of 23 and 32 are utilized to categorize low and high stress subgroups. |
| Language | Chinese |
| Population | College students |
| Age Group | Mean age 20.2 years (SD = 2.1) |
| Administration | Online survey |
| Completion Time | 3-5 minutes |
Scoring & Interpretation Guidelines
| Cut-off Scores | Scores of 23 and 32 serve as cutoffs for low and high stress subgroups |
| Normative Reference Values | Mean = 27.22 (SD = 8.8) |
Perceived Medical School Stress Scale – Chinese version Items
Items are currently not available
The individual items of this scale are not publicly available. Researchers interested in using this instrument should contact the original authors directly to request the scale materials.
Sample
The study included 891 medical students (271 male, 620 female) recruited via convenience sampling from medical schools in Liaoning and Shandong Provinces, China. The sample comprised undergraduates, degree upgraders, and postgraduates across various majors, predominantly clinical medicine (41.8%) and nursing (35.2%).
Permissions & Test Year
Adapted with permission from the original scale developer, Prof. Vitaliano.
Test Year: 2025
Cite This Paper
Chunyan Zhang, Chunguang Liang, Fan Zhang, Qian Zhang, Kaiyan Xu (2025). Perceived Medical School Stress Scale – Chinese version. BMC psychology. https://doi.org/10.1186/s40359-025-02604-4
References
59 references
- Gardani M, Bradford DRR, Russell K et al. A systematic review and meta-analysis of poor sleep, insomnia symptoms and stress in undergraduate students [J]. Sleep Med Rev, 2022, 61. 🔗 https://doi.org/10.1016/j.smrv.2021.101565
- Kirby ED, Muroy SE, Sun WG et al. Acute stress enhances adult rat hippocampal neurogenesis and activation of newborn neurons via secreted astrocytic FGF2 [J]. Elife, 2013, 2. 🔗 https://doi.org/10.7554/eLife.00362
- Voltmer E, Koetter T. Perceived medical school stress and the development of behavior and experience patterns in German medical students [J]. Med Teach. 2012;34(10):840–7. 🔗 https://doi.org/10.3109/0142159X.2012.706339
- Dyrbye LN, Shanafelt TD. Medical student distress: A call to action [J]. Acad Med. 2011;86(7):801–3. 🔗 https://doi.org/10.1097/ACM.0b013e31821da481
- Hunt J. mental health problems and help-seeking behavior among College students [J]. J Adolesc Health. 2010;46(1):3–10. 🔗 https://doi.org/10.1016/j.jadohealth.2009.08.008
- Dyrbye LN, Thomas MR, Shanafelt TD. Systematic review of depression, anxiety, And other indicators of psychological distress among U.S. And Canadian medical students [J]. Acad Med. 2006;81(4):354–73. 🔗 https://doi.org/10.1097/00001888-200604000-00009
- Vitaliano PP, Maiuro RD Mitchelle, et al. Perceived stress in medical school: resistors, persistors, adaptors and maladaptors [J]. Soc Sci Med. 1989;28(12):1321–9. 🔗 https://doi.org/10.1016/0277-9536(89)90351-1
- Dyrbye LN, Thomas MR, Shanafelt TD. Medical student distress: causes, consequences, and proposed solutions [J]. Mayo Clin Proc. 2005;80(12):1613–22. 🔗 https://doi.org/10.4065/80.12.1613
- Marchewka W, Loster Z, Marchewka J, et al. Stress associated with undergraduate medical courses: A translation and validation of the perceived medical school stress instrument into Polish and its adaptation to the Polish environment [J]. Folia Med Cracov. 2020;60(2):55–66.
- Puthran R, Zhang MW, Tam WW, et al. Prevalence of depression amongst medical students: a meta-analysis [J]. Med Educ. 2016;50(4):456–68. 🔗 https://doi.org/10.1111/medu.12962
- Dyrbye LN, Harper W, Durning SJ, et al. Patterns of distress in US medical students [J]. Med Teach. 2011;33(10):834–9. 🔗 https://doi.org/10.3109/0142159X.2010.531158
- Tjia J, Givens JL, Shea JA. Factors associated with undertreatment of medical student depression [J]. J Am Coll Health. 2005;53(5):219–24. 🔗 https://doi.org/10.3200/JACH.53.5.219-224
- Dunn LB, Moutier C, Green Hammond KA, et al. Personal health care of residents: preferences for care outside of the training institution [J]. Acad Psychiatry. 2008;32(1):20–30. 🔗 https://doi.org/10.1176/appi.ap.32.1.20
- Johnson JC, Degenhardt BF, Smith CK, et al. Tool for predicting medical student burnout from sustained stress levels: factor analysis of the medical education hassles Scale-R [J]. J Am Osteopath Assoc. 2018;118(3):170–80.
- Bramness JG, Fixdal TC Vaglump. Effect of medical school stress on the mental health of medical students in early and late clinical curriculum [J]. Acta Psychiatr Scand. 1991;84(4):340–5. 🔗 https://doi.org/10.1111/j.1600-0447.1991.tb03157.x
- Çınar Tanrıverdi E, Yılmaz S, Çayır Y. Evaluation the validity and reliability of the perceived medical school stress scale in Turkish medical students [J]. PLoS ONE. 2023;18(8):e0288769. 🔗 https://doi.org/10.1371/journal.pone.0288769
- Voltmer E, Kötter T. Perceived medical school stress and the development of behavior and experience patterns in German medical students [J]. Med Teach. 2012;34(10):840–7. 🔗 https://doi.org/10.3109/0142159X.2012.706339
- Bartlett J, Fowler K. Beyond the curriculum: a cross-sectional study of medical student psychological distress, and health care needs, practices and barriers [J]. Soc Psychiatry Psychiatr Epidemiol. 2020;55(9):1215–21. 🔗 https://doi.org/10.1007/s00127-019-01771-1
- Sousa VD, Rojjanasrirat W. Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: a clear and user-friendly guideline [J]. J Eval Clin Pract, 2011, 17(2): 268–74. 🔗 https://doi.org/10.1111/j.1365-2753.2010.01434.x
- Yu DS, Lee DT Wooj. Issues and challenges of instrument translation [J]. West J Nurs Res. 2004;26(3):307–20. 🔗 https://doi.org/10.1177/0193945903260554
- Bastien CH, VallièRes A, Morin CM. Validation of the insomnia severity index as an outcome measure for insomnia research [J]. Sleep Med. 2001;2(4):297–307. 🔗 https://doi.org/10.1016/S1389-9457(00)00065-4
- Chung KF, Kan KK. Yeung WF. Assessing insomnia in adolescents: comparison of insomnia severity index, Athens insomnia scale and sleep quality index [J]. Sleep Med. 2011;12(5):463–70. 🔗 https://doi.org/10.1016/j.sleep.2010.09.019
- Cheung SK, Sun SY. Assessment of optimistic self-beliefs: further validation of the Chinese version of the general Self-Efficacy scale [J]. Psychol Rep. 1999;85(3 Pt 2):1221–4. 🔗 https://doi.org/10.2466/pr0.1999.85.3f.1221
- Meng R, Li J, Wang Z, et al. The Chinese version of the perceived stress questionnaire: development and validation amongst medical students and workers [J]. Health Qual Life Outcomes. 2020;18(1):70. 🔗 https://doi.org/10.1186/s12955-020-01307-1
- Jia G, Dai H, Chu Y, et al. Psychometric evaluation of the Chinese version of social anxiety scale for social media users and cross-sectional investigation into this disorder among College students [J]. Compr Psychiatry. 2022;116:152328. 🔗 https://doi.org/10.1016/j.comppsych.2022.152328
- Thorndike RM, Book, Review. Psychometric Theory (3rd ed.) by Jum Nunnally and Ira Bernstein New York: McGraw-Hill, 1994, xxiv + 752 pp [J]. Applied Psychological Measurement. 1995;19(3):303–5. 🔗 https://doi.org/10.1177/014662169501900308
- Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research [J]. J Chiropr Med. 2016;15(2):155–63. 🔗 https://doi.org/10.1016/j.jcm.2016.02.012
- Mcneish D. Thanks coefficient alpha, we’ll take it from here [J]. Psychol Methods. 2018;23(3):412–33. 🔗 https://doi.org/10.1037/met0000144
- Leonhard C. Review of statistical and methodological issues in the forensic prediction of malingering from validity tests: part II-Methodological issues [J]. Neuropsychol Rev, 2023, 33(3): 604–23. 🔗 https://doi.org/10.1007/s11065-023-09602-6
- Lynn MR. Determination and quantification of content validity [J]. Nurs Res. 1986;35(6):382–5. 🔗 https://doi.org/10.1097/00006199-198611000-00017
- Polit DF, Beck CT. The content validity index: are you sure you know what’s being reported? Critique and recommendations [J]. Res Nurs Health. 2006;29(5):489–97. 🔗 https://doi.org/10.1002/nur.20147
- Kaiser HF, Cerny BA. Factor analysis of the image correlation matrix [J]. Educ Psychol Meas. 1979;39(4):711–4. 🔗 https://doi.org/10.1177/001316447903900402
- Bartlett MS. A note on the multiplying factors for various Χ2 approximations [J]. J Roy Stat Soc: Ser B (Methodol). 1954;16(2):296–8. 🔗 https://doi.org/10.1111/j.2517-6161.1954.tb00174.x
- Lorenzo-Seva U. Solomon: a method for splitting a sample into equivalent subsamples in factor analysis [J]. Behav Res Methods. 2022;54(6):2665–77. 🔗 https://doi.org/10.3758/s13428-021-01750-y
- Marsh HW, Guo J, Dicke T, et al. Confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), and Set-ESEM: optimal balance between goodness of fit and parsimony [J]. Multivar Behav Res. 2020;55(1):102–19. 🔗 https://doi.org/10.1080/00273171.2019.1602503
- van Zyl LE, Ten Klooster PM. Exploratory structural equation modeling: practical guidelines and tutorial with a convenient online tool for Mplus [J]. Front Psychiatry. 2021;12:795672. 🔗 https://doi.org/10.3389/fpsyt.2021.795672
- Quek TT, Tam WW, Tran B, X et al. The global prevalence of anxiety among medical students: A Meta-Analysis [J]. Int J Environ Res Public Health, 2019, 16(15). 🔗 https://doi.org/10.3390/ijerph16152735
- Moir F, Yielder J, Sanson J, et al. Depression in medical students: current insights [J]. Adv Med Educ Pract. 2018;9:323–33. 🔗 https://doi.org/10.2147/AMEP.S137384
- Khess C Sahoos. Prevalence of depression, anxiety, and stress among young male adults in India: a dimensional and categorical diagnoses-based study [J]. J Nerv Ment Dis. 2010;198(12):901–4. 🔗 https://doi.org/10.1097/NMD.0b013e3181fe75dc
- Vanmeter F. Resilience [J]. Handb Clin Neurol. 2020;173:67–73. 🔗 https://doi.org/10.1016/B978-0-444-64150-2.00008-3
- Cui M. COVID-19 and mental health of young adult children in China: economic impact, family dynamics, and resilience [J]. Fam Relat. 2021;70(5):1358–68. 🔗 https://doi.org/10.1111/fare.12573
- Roberts LW, Warner TD, Lyketsos C, et al. Perceptions of academic vulnerability associated with personal illness: a study of 1,027 students at nine medical schools. Collaborative Res Group Med Student Health [J] Compr Psychiatry. 2001;42(1):1–15.
- Iqbal S, Gupta S. Stress, anxiety and depression among medical undergraduate students and their socio-demographic correlates [J]. Indian J Med Res. 2015;141(3):354–7. 🔗 https://doi.org/10.4103/0971-5916.156571
- Kulsoom B, Afsar NA. Stress, anxiety, and depression among medical students in a multiethnic setting [J]. Neuropsychiatr Dis Treat. 2015;11:1713–22.
- Ibrahim N, Al-Kharboush D, El-Khatib L, et al. Prevalence and predictors of anxiety and depression among female medical students in King Abdulaziz university, Jeddah, Saudi Arabia [J]. Iran J Public Health. 2013;42(7):726–36.
- Sidana S, Kishore J, Ghosh V, et al. Prevalence of depression in students of a medical college in new Delhi: A cross-sectional study [J]. Australas Med J. 2012;5(5):247–50. 🔗 https://doi.org/10.4066/AMJ.2012.750
- Inam SN Saqiba, Alam E. Prevalence of anxiety and depression among medical students of private university [J]. J Pak Med Assoc. 2003;53(2):44–7.
- Abdulghani HM, Alkanhal AA, Mahmoud ES, et al. Stress and its effects on medical students: a cross-sectional study at a college of medicine in Saudi Arabia [J]. J Health Popul Nutr. 2011;29(5):516–22. 🔗 https://doi.org/10.3329/jhpn.v29i5.8906
- Baldassin S, Alves TC, de Andrade AG, et al. The characteristics of depressive symptoms in medical students during medical education and training: a cross-sectional study [J]. BMC Med Educ. 2008;8:60. 🔗 https://doi.org/10.1186/1472-6920-8-60
- Bassols AM, Okabayashi LS, Silva AB, et al. First- and last-year medical students: is there a difference in the prevalence and intensity of anxiety and depressive symptoms? [J]. Braz J Psychiatry. 2014;36(3):233–40. 🔗 https://doi.org/10.1590/1516-4446-2013-1183
- Fawzy M, Hamed SA. Prevalence of psychological stress, depression and anxiety among medical students in Egypt [J]. Psychiatry Res. 2017;255:186–94. 🔗 https://doi.org/10.1016/j.psychres.2017.05.027
- Dahlin M, Joneborg N. Stress and depression among medical students: a cross-sectional study [J]. Med Educ. 2005;39(6):594–604. 🔗 https://doi.org/10.1111/j.1365-2929.2005.02176.x
- Almojali AI, Almalki SA, Alothman AS, et al. The prevalence and association of stress with sleep quality among medical students [J]. J Epidemiol Glob Health. 2017;7(3):169–74. 🔗 https://doi.org/10.1016/j.jegh.2017.04.005
- Lo Martire V, Caruso D. Stress & sleep: A relationship lasting a lifetime [J]. Neurosci Biobehav Rev. 2020;117:65–77. 🔗 https://doi.org/10.1016/j.neubiorev.2019.08.024
- Antila H, Kwak I, Choi A, et al. A noradrenergic-hypothalamic neural substrate for stress-induced sleep disturbances [J]. Proc Natl Acad Sci U S A. 2022;119(45):e2123528119. 🔗 https://doi.org/10.1073/pnas.2123528119
- Joolaee S, Jafarian Amiri SR, Farahani MA, et al. Iranian nursing students’ preparedness for clinical training: A qualitative study [J]. Nurse Educ Today. 2015;35(10):e13–7. 🔗 https://doi.org/10.1016/j.nedt.2015.07.026
- Backović DV, Zivojinović JI, Maksimović J, et al. Gender differences in academic stress and burnout among medical students in final years of education [J]. Psychiatr Danub. 2012;24(2):175–81.
- Heinen I, Bullinger M, Kocalevent RD. Perceived stress in first year medical students – associations with personal resources and emotional distress [J]. BMC Med Educ. 2017;17(1):4. 🔗 https://doi.org/10.1186/s12909-016-0841-8
- Slavin SJ, Schindler DL, Chibnall JT. Medical student mental health 3.0: improving student wellness through curricular changes [J]. Acad Med. 2014;89(4):573–7. 🔗 https://doi.org/10.1097/ACM.0000000000000166
Cite this article
Mohammed looti (2026). Perceived Medical School Stress Scale – Chinese version. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/s/perceived-medical-school-stress-scale-chinese-version/
Mohammed looti. "Perceived Medical School Stress Scale – Chinese version." PSYCHOLOGICAL SCALES, 13 Aug. 2026, https://scales.arabpsychology.com/s/perceived-medical-school-stress-scale-chinese-version/.
Mohammed looti. "Perceived Medical School Stress Scale – Chinese version." PSYCHOLOGICAL SCALES, 2026. https://scales.arabpsychology.com/s/perceived-medical-school-stress-scale-chinese-version/.
Mohammed looti (2026) 'Perceived Medical School Stress Scale – Chinese version', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/s/perceived-medical-school-stress-scale-chinese-version/.
[1] Mohammed looti, "Perceived Medical School Stress Scale – Chinese version," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, August, 2026.
Mohammed looti. Perceived Medical School Stress Scale – Chinese version. PSYCHOLOGICAL SCALES. 2026;vol(issue):pages.