A study on the academic innovation ability and influencing factors of public health graduate students based on nomograms: a cross-sectional survey from Shandong, China.

Xinyu Wang, Pengxin Geng, Xingyue Chen, Weiqin Cai, Hongqing An
Author Information
  1. Xinyu Wang: School of Public Health, Shandong Second Medical University, Weifang, China.
  2. Pengxin Geng: School of Public Health, Shandong Second Medical University, Weifang, China.
  3. Xingyue Chen: School of Public Health, Shandong Second Medical University, Weifang, China.
  4. Weiqin Cai: Institute of Public Health Crisis Management, Shandong Second Medical University, Weifang, China.
  5. Hongqing An: School of Public Health, Shandong Second Medical University, Weifang, China.

Abstract

Background: In recent years, the impact of the COVID-19 pandemic and various public crises has highlighted the importance of cultivating high-quality public health talents, especially those with innovative capabilities. This study focuses on the academic innovation ability of public health postgraduate students, which can provide important theoretical support for the cultivation of more public health workers with high innovative capabilities.
Methods: From May to October 2022, a cluster sampling method was used to select 1,076 public health postgraduate students from five universities in Shandong Province. A self-designed questionnaire survey was conducted. A chi-square test and binary logistic regression analysis were used to analyze the influencing factors of students' academic innovation ability. Based on these factors, a nomogram was constructed to intuitively demonstrate the impact of these complex factors on students' innovation ability.
Results: The results showed that gender, whether serving as a student leader, teacher-student relationship, academic motivation, learning style, academic environment, and teaching mode were the influencing factors of postgraduate students' academic innovation ability. The column-line diagram (AUC���=���0.892, 95% CI���=���0.803���~���0.833) constructed based on the above influencing factors has good differentiation. The area under the ROC curve is 0.892 (95% CI���=���0.803���~���0.833), and the calibration curve shows that the predicted value is the same as the measured value.
Conclusion: The nomogram constructed in this study can be used to predict the academic innovation level of public health graduate students, which is helpful for university education administrators to evaluate students' academic innovation ability based on nomogram scores and carry out accurate and efficient training.

Keywords

References

  1. Front Psychol. 2022 Jun 17;13:875266 [PMID: 35783747]
  2. J Appl Psychol. 2012 Nov;97(6):1282-90 [PMID: 22800186]
  3. J Affect Disord. 2023 Jun 1;330:148-157 [PMID: 36801419]
  4. Nurse Educ Today. 2022 Jan;108:105216 [PMID: 34798475]
  5. Psychol Bull. 2012 Jul;138(4):809-830 [PMID: 22409506]
  6. Front Public Health. 2024 Mar 14;12:1295975 [PMID: 38550327]
  7. Psychol Sci. 2017 Jul;28(7):1016-1026 [PMID: 28488927]
  8. BMC Psychol. 2022 Apr 6;10(1):90 [PMID: 35387684]
  9. Lancet Oncol. 2015 Apr;16(4):e173-80 [PMID: 25846097]
  10. Annu Rev Public Health. 2023 Apr 3;44:55-74 [PMID: 36626834]
  11. Front Public Health. 2021 Apr 28;9:631717 [PMID: 33996716]
  12. Int J Environ Res Public Health. 2022 Jan 31;19(3): [PMID: 35162653]
  13. Nurse Educ Today. 2018 Dec;71:40-47 [PMID: 30223169]
  14. J Appl Psychol. 2022 Nov;107(11):1926-1950 [PMID: 34968076]
  15. BMC Med Educ. 2023 Sep 3;23(1):627 [PMID: 37661266]
  16. Am J Public Health. 2020 Jul;110(7):976-977 [PMID: 32407134]
  17. Psychol Bull. 1999 Jul;125(4):470-500 [PMID: 10414226]
  18. Front Psychol. 2020 Jan 15;10:2858 [PMID: 32010007]
  19. Proc Natl Acad Sci U S A. 2022 Sep 6;119(36):e2200841119 [PMID: 36037387]
  20. BMJ Glob Health. 2022 Feb;7(2): [PMID: 35168932]
  21. BMC Med Educ. 2023 Jun 16;23(1):444 [PMID: 37328847]
  22. Front Psychol. 2021 May 20;12:666071 [PMID: 34093361]
  23. Ann Surg. 2016 Jul;264(1):39-40 [PMID: 26835984]
  24. Front Public Health. 2021 Aug 16;9:700638 [PMID: 34490185]
  25. Trends Cogn Sci. 2022 Oct;26(10):849-859 [PMID: 35868956]
  26. Nat Rev Cancer. 2019 Sep;19(9):489-493 [PMID: 31358894]
  27. Acad Med. 2013 Feb;88(2):185-91 [PMID: 23269302]
  28. J Affect Disord. 2022 Apr 15;303:264-272 [PMID: 35176341]
  29. J Bus Res. 2020 Aug;116:351-355 [PMID: 32372773]
  30. Nat Hum Behav. 2018 Oct;2(10):726-734 [PMID: 31406295]

MeSH Term

Humans
China
Male
Cross-Sectional Studies
Female
Surveys and Questionnaires
Nomograms
Students, Public Health
Adult
COVID-19
Public Health
Education, Graduate
Young Adult
Motivation

Word Cloud

Created with Highcharts 10.0.0academicpublicinnovationhealthabilityfactorsstudystudentsinfluencingstudents'nomogrampostgraduateusedconstructedbasedgraduateimpactinnovativecapabilitiescanShandongsurveystudent89295%CI���=���0803���~���0833curvevalueeducationcross-sectionalChinaBackground:recentyearsCOVID-19pandemicvariouscriseshighlightedimportancecultivatinghigh-qualitytalentsespeciallyfocusesprovideimportanttheoreticalsupportcultivationworkershighMethods:MayOctober2022clustersamplingmethodselect1076fiveuniversitiesProvinceself-designedquestionnaireconductedchi-squaretestbinarylogisticregressionanalysisanalyzeBasedintuitivelydemonstratecomplexResults:resultsshowedgenderwhetherservingleaderteacher-studentrelationshipmotivationlearningstyleenvironmentteachingmodecolumn-linediagramAUC���=���0gooddifferentiationareaROC0calibrationshowspredictedmeasuredConclusion:predictlevelhelpfuluniversityadministratorsevaluatescorescarryaccurateefficienttrainingnomograms:medicalreform

Similar Articles

Cited By