Nonacademic predictors of China medical licensing examination | BMC Medical Education

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Nonacademic predictors of China medical licensing examination | BMC Medical Education
  • Tamblyn R, Abrahamowicz M, Dauphinee WD, Hanley JA, Norcini J, Girard N, et al. Association between licensure examination scores and practice in primary care. JAMA. 2002;288(23):3019–26.

    Article 

    Google Scholar 

  • Papadakis MA, Arnold GK, Blank LL, Holmboe ES, Lipner RS. Performance during internal medicine residency training and subsequent disciplinary action by state licensing boards. Ann Intern Med. 2008;148(11):869–76.

    Article 

    Google Scholar 

  • West C, Kurz T, Smith S, Graham L. Are study strategies related to medical licensing exam performance? Int J Med Educ. 2014;5:199–204.

    Article 

    Google Scholar 

  • Yousem IJ, Liu L, Aygun N, Yousem DM. United states medical licensing examination step 1 and 2 scores predict neuroradiology fellowship success. J Am Coll Radiol. 2016;13(4):438–44 e432.

    Article 

    Google Scholar 

  • Jackson F, Duane E, Harmon R, Kollar RA, Rainville NM, Smith RM. Resources that improve medical board licensing examination performance. Cureus. 2019;11(10):e5927.

    Google Scholar 

  • Deng F, Gluckstein JA, Larsen DP. Student-directed retrieval practice is a predictor of medical licensing examination performance. Perspect Med Educ. 2015;4(6):308–13.

    Article 

    Google Scholar 

  • Gauer JL, Jackson JB. The association between United States Medical Licensing Examination scores and clinical performance in medical students. Adv Med Educ Pract. 2019;10:209–16.

    Article 

    Google Scholar 

  • Cortes-Penfield NW, Khazanchi R, Talmon G. Educational and personal opportunity costs of medical student preparation for the united states medical licensing examination step 1 exam: a single-center study. Cureus. 2020;12(10):e10938.

    Google Scholar 

  • Burk-Rafel J, Santen SA, Purkiss J. Study behaviors and USMLE step 1 performance: implications of a student self-directed parallel curriculum. Acad Med. 2017;92(11S Association of American Medical Colleges Learn Serve Lead: Proceedings of the 56th Annual Research in Medical Education Sessions):S67–74.

    Article 

    Google Scholar 

  • Berduzco-Torres N, Medina P, San-Martín M, Delgado Bolton RC, Vivanco L. Non-academic factors influencing the development of empathy in undergraduate nursing students: a cross-sectional study. BMC Nurs. 2021;20(1):245.

    Article 

    Google Scholar 

  • Anadi I, Havrda DE, Owens-Mosby D, Shelton CM. Evaluation of academic and nonacademic factors of first-generation students transitioning to a pharmacy program. Am J Pharm Educ. 2023;87(12):100598.

    Article 

    Google Scholar 

  • Bynum WET, Jackson JA, Varpio L, Teunissen PW. Shame at the gates of medicine: a hermeneutic exploration of premedical students’ experiences of shame. Acad Med. 2023;98(6):709–16.

    Article 

    Google Scholar 

  • Joseph J, Dao D, Hwang SM, Dotzler SM, Chesak SS, Weiskittel TM, et al. Perceptions of Barriers and Facilitators to Becoming a Medical Professional Among Underrepresented Undergraduate and Postbaccalaureate Learners. Mayo Clin Proc Innov Qual Outcomes. 2021;5(2):347–58.

    Article 

    Google Scholar 

  • Haight SJ, Chibnall JT, Schindler DL, Slavin SJ. Associations of medical student personality and health/wellness characteristics with their medical school performance across the curriculum. Acad Med. 2012;87(4):476–85.

    Article 

    Google Scholar 

  • Krupat E, Pelletier SR, Dienstag JL. Academic performance on first-year medical school exams: how well does it predict later performance on knowledge-based and clinical assessments? Teach Learn Med. 2017;29(2):181–7.

    Article 

    Google Scholar 

  • Wood TJ, Humphrey-Murto S, Moineau G, Forgie M, Puddester D, Leddy JJ. Does emotional intelligence at medical school admission predict future licensing examination performance? Can Med Educ J. 2020;11(1):e35–45.

    Google Scholar 

  • Zheng A, Yu X, Fan L, Ma J, Jin F. Improving education about breast cancer for medical students in China. J Cancer Educ. 2020;35(5):871–5.

    Article 

    Google Scholar 

  • Xu Q, Guo L, Cheng J, Wang M, Geng Z, Zhu W, et al. CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research. Mol Psychiatry. 2020;25(3):517–29.

    Article 

    Google Scholar 

  • Bernstein D, Fink L, Bernstein D. Childhood trauma questionnaire: a retrospective self-report manual. 1998.

  • Jiang WJ, Zhong BL, Liu LZ, Zhou YJ, Hu XH, Li Y. Reliability and validity of the Chinese version of the childhood trauma questionnaire-short form for inpatients with schizophrenia. PLoS One. 2018;13(12):e0208779.

    Article 

    Google Scholar 

  • Parker G, Tupling H, Brown LB. Br J Med Psychol. 1979;52 (1):1–10.

  • Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30(6):473–83.

    Article 

    Google Scholar 

  • Beck AT, Steer RA, Brown GK. Manual for the Beck depression inventory-II. San Antonio: Psychological Corporation; 1996.

  • Spielberger CD, Gorsuch RL, Lushene R, Vagg PR, Jacobs GA. Manual for the State-Trait Anxiety Inventory (STAI). Palo Alto, CA: Consulting Psychologists Press; 1983.

  • Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol. 1995;51(6):768–74.

    Article 

    Google Scholar 

  • Duan M, Yang Y, Li B. Validity and reliability of tri-dimensional personality questionnaire. Chin Mental Health J. 2006;20(9):610–2.

  • Caprara GV, Barbaranelli C, Borgogni L, Perugini M. The” Big Five Questionnaire”: a new questionnaire to assess the Five Factor Model. Personality Individ Differ. 1993;15(3):281–8.

    Article 

    Google Scholar 

  • Crocker J, Canevello A. Creating and undermining social support in communal relationships: the role of compassionate and self-image goals. J Pers Soc Psychol. 2008;95(3):555–75.

    Article 

    Google Scholar 

  • O’Brien R. A caution regarding rules of thumb for variance inflation factors. Qual Quant. 2007;41(5):673–90.

    Article 

    Google Scholar 

  • Davis MH. A Multidimensional Approach to Individual Differences in Empathy. JSAS Cat Selected Documents in Psychology. 1980;10(85):1–19.

  • Donders J. A confirmatory factor analysis of the California Verbal Learning Test-Second Edition (CVLT-II) in the standardization sample. Assessment. 2008;15(2):123–31.

    Article 

    Google Scholar 

  • Braver TS, Cohen JD, Nystrom LE, Jonides J, Smith EE, Noll DC. A parametric study of prefrontal cortex involvement in human working memory. Neuroimage. 1997;5(1):49–62.

    Article 

    Google Scholar 

  • Loring DW, Martin RC, Meador KJ, Lee GP. Psychometric construction of the Rey-Osterrieth Complex Figure: methodological considerations and interrater reliability. Arch Clin Neuropsychol. 1990;5(1):1–14.

    Article 

    Google Scholar 

  • Smith A. Symbol Digit Modalities Test. New York: Springer; 1973.

    Google Scholar 

  • Kaufman JN, Ross TJ, Stein EA, Garavan H. Cingulate hypoactivity in cocaine users during a GO-NOGO task as revealed by event-related functional magnetic resonance imaging. J Neurosci. 2003;23(21):7839–43.

    Article 

    Google Scholar 

  • David N, Bewernick BH, Cohen MX, Newen A, Lux S, Fink GR, et al. Neural representations of self versus other: visual-spatial perspective taking and agency in a virtual ball-tossing game. J Cogn Neurosci. 2006;18(6):898–910.

    Article 

    Google Scholar 

  • Chan KY, Zhao FF, Meng S, Demaio AR, Reed C, Theodoratou E, et al. Urbanization and the prevalence of schizophrenia in China between 1990 and 2010. World Psychiatry. 2015;14(2):251–2.

    Article 

    Google Scholar 

  • Yaple ZA, Yu R. Functional and Structural Brain Correlates of Socioeconomic Status. Cerebral cortex (New York, NY : 1991). 2020;30(1):181–96.

    Google Scholar 

  • Chen B, Luo L, Wu X, Chen Y, Zhao Y. Are the Lower Class Really Unhappy? Social Class and Subjective Well-Being in Chinese Adolescents: Moderating Role of Sense of Control and Mediating Role of Self-Esteem. J Happiness Stud. 2021;22(2):825–43.

  • Zhu Y, Zhao Y, Ybarra O, Stephan WG, Yang Q. Enhanced memory for both threat and neutral information under conditions of intergroup threat. Front Psychol. 2015;6:1759.

    Article 

    Google Scholar 

  • Adler NE, Epel ES, Castellazzo G, Ickovics JR. Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychol. 2000;19(6):586–92.

    Article 

    Google Scholar 

  • Ostrove JM, Adler NE, Kuppermann M, Washington AE. Objective and subjective assessments of socioeconomic status and their relationship to self-rated health in an ethnically diverse sample of pregnant women. Health Psychol. 2000;19(6):613–8.

    Article 

    Google Scholar 

  • Diener E, Emmons RA, Larsen RJ, Griffin S. The Satisfaction With Life Scale. J Pers Assess. 1985;49(1):71–5.

    Article 

    Google Scholar 

  • Zimet GD, Powell SS, Farley GK, Werkman S, Berkoff KA. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess. 1990;55(3–4):610–7.

    Article 

    Google Scholar 

  • Sinisi SE, van der Laan MJ. Deletion/substitution/addition algorithm in learning with applications in genomics. Stat Appl Genet Mol Biol. 2004;3:18.

    Article 

    Google Scholar 

  • Nieuwenhuijsen MJ, Agier L, Basagaña X, Urquiza J, Tamayo-Uria I, Giorgis-Allemand L, et al. Influence of the urban exposome on birth weight. Environ Health Perspect. 2019;127(4):47007.

    Article 

    Google Scholar 

  • Rosseel Y. lavaan: An R package for structural equation modeling. 2011.

  • Little TD, Card NA. Longitudinal structural equation modeling. 2013.

  • Zhang H, Tong T, Gao Y, Liang C, Yu H, Li S, et al. Translation of the Chinese version of the modified Yale Food Addiction Scale 2.0 and its validation among college students. J Eat Disord. 2021;9(1):116.

    Article 

    Google Scholar 

  • Chen Y, Liu X, Yan N, Jia W, Fan Y, Yan H, et al. Higher Academic Stress Was Associated with Increased Risk of Overweight and Obesity among College Students in China. Int J Environ Res Public Health. 2020;17(15):5559.

  • Custers E, Vreeken D, Kleemann R, Kessels RPC, Duering M, Brouwer J, et al. Long-term brain structure and cognition following bariatric surgery. JAMA Netw Open. 2024;7(2):e2355380.

    Article 

    Google Scholar 

  • Haider ZF, von Stumm S. Predicting educational and social-emotional outcomes in emerging adulthood from intelligence, personality, and socioeconomic status. J Pers Soc Psychol. 2022;123(6):1386–406.

    Article 

    Google Scholar 

  • Morales-Rodríguez FM, Pérez-Mármol JM. The role of anxiety, coping strategies, and emotional intelligence on general perceived self-efficacy in university students. Front Psychol. 2019;10:1689.

    Article 

    Google Scholar 

  • Provencher V, Bégin C, Gagnon-Girouard MP, Tremblay A, Boivin S, Lemieux S. Personality traits in overweight and obese women: associations with BMI and eating behaviors. Eat Behav. 2008;9(3):294–302.

    Article 

    Google Scholar 

  • Diop M, Ruiz-Adame M, Gaggero A. Influence of personality traits, gender, and socio-economic factors in obesity in the english longitudinal study of ageing. Personal Ment Health. 2023;17(2):176–83.

    Article 

    Google Scholar 

  • Onken LS, Nielsen L. Targeting psychological processes related to personality facets to promote healthy aging. Personal Disord. 2019;10(1):1–3.

    Article 

    Google Scholar 

  • Lopez-Doriga Ruiz P, Tapia G, Bakken IJ, Håberg SE, Gulseth HL, Skrivarhaug T, et al. Parental education and occupation in relation to childhood type 1 diabetes: nationwide cohort study. J Epidemiol Community Health. 2024;78(5):319–25.

    Article 

    Google Scholar 

  • Khundrakpam B, Choudhury S, Vainik U, Al-Sharif N, Bhutani N, Jeon S, et al. Distinct influence of parental occupation on cortical thickness and surface area in children and adolescents: relation to self-esteem. Hum Brain Mapp. 2020;41(18):5097–113.

    Article 

    Google Scholar 

  • Kerr JA, Dumuid D, Downes M, Lange K, O’Connor M, Thornton L, et al. Socioeconomic disadvantage and polygenic risk for high BMI magnify obesity risk across childhood: a longitudinal, population, cohort study. Lancet Glob Health. 2023;11(Suppl 1):S9-s10.

    Article 

    Google Scholar 

  • Feldstein Ewing SW, Dash GF, Thompson WK, Reuter C, Diaz VG, Anokhin A, et al. Measuring retention within the adolescent brain cognitive development (ABCD)(SM) study. Dev Cogn Neurosci. 2022;54:101081.

    Article 

    Google Scholar 

  • Ren Y, Fang X, Fang H, Pang G, Cai J, Wang S, et al. Predicting the adult clinical and academic outcomes in boys with adhd: a 7- to 10-year follow-up study in China. Front Pediatr. 2021;9:634633.

    Article 

    Google Scholar 

  • Kulkarni S, Parry J, Sitch A. An assessment of the impact of formal preparation activities on performance in the University Clinical Aptitude Test (UCAT): a national study. BMC Med Educ. 2022;22(1):747.

    Article 

    Google Scholar 

  • Abonassir AA, Siddiqui AF, Abadi SA, Al-Garni AM, Alhumayed RS, Tirad RS, et al. Mental health literacy among secondary school female students in Abha, Saudi Arabia. J Family Med Prim Care. 2021;10(2):1015–20.

    Article 

    Google Scholar 

  • Luo J, Zhang B, Antonoplis S, Mroczek DK. The effects of socioeconomic status on personality development in adulthood and aging. J Pers. 2024;92(1):243–60.

    Article 

    Google Scholar 

  • Lazaratou H, Anagnostopoulos DC, Vlassopoulos M, Charbilas D, Rotsika V, Tsakanikos E, et al. Predictors and characteristics of anxiety among adolescent students: a Greek sample. Psychiatriki. 2013;24(1):27–36.

    Google Scholar 

  • Oberauer K. Working memory and attention – a conceptual analysis and review. J Cogn. 2019;2(1):36.

    Article 

    Google Scholar 

  • Cortés Pascual A, Moyano Muñoz N, Quílez RA. The Relationship between executive functions and academic performance in primary education: review and meta-analysis. Front Psychol. 2019;10:1582.

    Article 

    Google Scholar 

  • Aronen ET, Vuontela V, Steenari MR, Salmi J, Carlson S. Working memory, psychiatric symptoms, and academic performance at school. Neurobiol Learn Mem. 2005;83(1):33–42.

    Article 

    Google Scholar 

  • Zhang Q, Li Y, Zhao W, Chen X, Li X, Du B, et al. ERP evidence for the effect of working memory span training on working memory maintenance: a randomized controlled trial. Neurobiol Learn Mem. 2020;167:107129.

    Article 

    Google Scholar 

  • Bergman Nutley S, Söderqvist S. How is working memory training likely to influence academic performance? Current evidence and methodological considerations. Front Psychol. 2017;8:69.

    Article 

    Google Scholar 

  • Titz C, Karbach J. Working memory and executive functions: effects of training on academic achievement. Psychol Res. 2014;78(6):852–68.

    Article 

    Google Scholar 

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