OpenLB
Open Library of Bioscience
Advanced Search
Annals of medicine
2023;55 (2): 2299574.

Cognition of the warning symptoms and risk factors for cancer among Chinese college students: a cross-sectional study based on a summer social practice activity.

Lin-Sen Feng, Qing-Li Li, Qing Yang, Yu-Lu Zhu, Fu-Lin Yin, Qi-Yao Wang, Wen-Jue Zhong, Xiao-Qian Wu, Ruo-Yu Yan, Zheng-Jiao Dong
Author Information
  1. Lin-Sen Feng: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), Yunnan, China. ORCID
  2. Qing-Li Li: The First School of Clinical Medicine, Kunming Medical University, Yunnan, China.
  3. Qing Yang: School of Public Health, Kunming Medical University, Yunnan, China.
  4. Yu-Lu Zhu: The First School of Clinical Medicine, Kunming Medical University, Yunnan, China.
  5. Fu-Lin Yin: The First School of Clinical Medicine, Kunming Medical University, Yunnan, China.
  6. Qi-Yao Wang: The First School of Clinical Medicine, Kunming Medical University, Yunnan, China.
  7. Wen-Jue Zhong: Graduate School, Chulalongkorn University, Bangkok, Thailand.
  8. Xiao-Qian Wu: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), Yunnan, China.
  9. Ruo-Yu Yan: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), Yunnan, China.
  10. Zheng-Jiao Dong: The Sixth Affiliated Hospital of Kunming Medical University (The People's Hospital of Yuxi City), Yunnan, China. ORCID
PMID: 38170847 DOI: 10.1080/07853890.2023.2299574

Abstract

BACKGROUND: To investigate the cognition of cancer warning symptoms and cancer risk factors among Chinese college students, analyze the influencing factors, and explain the correlations between cancer cognition and cancer symptom discrimination, cancer fear and psychological distress.
METHODS: Chinese college students were recruited in this cross-sectional study funded by a summer social practice activity in Yunnan Province, China. Cognition rates of cancer warning symptoms and cancer risk factors were evaluated using cancer Warning symptoms Cognition Questionnaire (CWSCQ) and cancer Risk Factors Cognition Questionnaire (CRFCQ), respectively. Factors associated with cognition of cancer warning symptoms, and factors associated with cognition of cancer risk factors were evaluated using multiple linear regression analysis. Interactions between cancer cognition, cancer symptom discrimination, psychological distress, and cancer fear were evaluated by structural equation modeling.
RESULTS: There were 846 effective samples, with an effective rate of 80.9%. The cognition rates of cancer warning symptoms were from 47.9% to 84.4%, which were affected by cancer symptom discrimination, education, attitudes towards cancer screening, living expenses, drinking history, and ways to obtain cancer knowledge ( < 0.05). The cognition rates of cancer risk factors were from 46.3% to 91.3% in participants, which were affected by education, cancer symptom discrimination, psychological distress, attitudes towards cancer screening, life satisfaction, cancer history in relatives and friends, ways to obtain cancer knowledge, smoking history, and nursing history for cancer patients ( < 0.05). cancer cognition and cancer symptom discrimination showed intermediary effects on psychological distress and cancer fear ( < 0.001).
CONCLUSIONS: The overall cancer cognition situation among Chinese college students is not optimistic, which highlights the necessity of improving the cancer health literacy among Chinese college students. With the increasing morbidity and mortality rates of cancer, it is necessary to raise awareness of early detection, and early treatment of cancer among the general public. Health education interventions are helpful to improve cancer health literacy.

Keywords

Cancer warning symptoms Chinese college students cancer risk factors cognition

References

  1. BMJ Open. 2021 Jul 12;11(7):e045168 [PMID: 34253663]
  2. PLoS One. 2021 Dec 16;16(12):e0261590 [PMID: 34914811]
  3. BMC Cancer. 2015 Jun 02;15:449 [PMID: 26031666]
  4. Cancer Rep (Hoboken). 2021 Oct;4(5):e1382 [PMID: 33934571]
  5. J Oral Biol Craniofac Res. 2022 Jan-Feb;12(1):154-160 [PMID: 34824968]
  6. J Public Health (Oxf). 2018 Dec 1;40(4):e560-e570 [PMID: 29741646]
  7. Chin Med J (Engl). 2021 Mar 17;134(7):783-791 [PMID: 33734139]
  8. Zhonghua Zhong Liu Za Zhi. 2023 Mar 23;45(3):212-220 [PMID: 36944542]
  9. Front Psychol. 2020 Sep 24;11:550533 [PMID: 33071867]
  10. Am J Prev Med. 2015 Dec;49(6):952-60 [PMID: 26590941]
  11. Dig Dis. 2022;40(4):409-416 [PMID: 34348279]
  12. BMC Nephrol. 2021 Mar 27;22(1):112 [PMID: 33773596]
  13. BMC Public Health. 2021 Apr 23;21(1):775 [PMID: 33888094]
  14. J Skin Cancer. 2021 Dec 29;2021:5558694 [PMID: 35003809]
  15. J Sch Health. 2017 Dec;87(12):968-974 [PMID: 29096417]
  16. BMC Palliat Care. 2020 Oct 12;19(1):156 [PMID: 33046031]
  17. Int J Med Educ. 2011 Jun 27;2:53-55 [PMID: 28029643]
  18. J Gen Fam Med. 2019 Sep 19;20(6):260-263 [PMID: 31788406]
  19. Health Expect. 2016 Apr;19(2):288-98 [PMID: 25639789]
  20. Eur Respir Rev. 2021 Apr 13;30(160): [PMID: 33853886]
  21. Ann Med. 2022 Dec;54(1):2354-2362 [PMID: 36066037]
  22. Cancer Nurs. 2004 Sep-Oct;27(5):364-9 [PMID: 15525863]
  23. Int J Environ Res Public Health. 2020 Feb 12;17(4): [PMID: 32059587]
  24. BMC Cancer. 2020 Jun 17;20(1):563 [PMID: 32552740]
  25. Health Care Women Int. 2018 May;39(5):571-583 [PMID: 28850299]
  26. Asian Pac J Cancer Prev. 2011;12(9):2189-92 [PMID: 22296354]
  27. BMJ Open. 2019 Jul 23;9(7):e029638 [PMID: 31340970]
  28. Oncoscience. 2015 Nov 10;2(10):849-56 [PMID: 26682276]
  29. J Am Coll Health. 2020 Aug-Sep;68(6):587-592 [PMID: 30849021]
  30. Cad Saude Publica. 2017 Sep 28;33(9):e00212716 [PMID: 28977285]
  31. J Cancer Educ. 2023 Apr;38(2):538-544 [PMID: 35254629]
  32. J Public Health (Oxf). 2021 Sep 22;43(3):618-624 [PMID: 31974552]
  33. Am J Nephrol. 2019;50(1):37-47 [PMID: 31167183]
  34. Epidemiol Health. 2019;41:e2019027 [PMID: 31208191]
  35. J Pain Symptom Manage. 2021 Jan;61(1):167-189.e14 [PMID: 32768552]
  36. Clin Gastroenterol Hepatol. 2022 Jun;20(6):1416 [PMID: 34302985]
  37. Zhonghua Yu Fang Yi Xue Za Zhi. 2023 Jan 6;57(1):22-28 [PMID: 36655253]
  38. J Public Health (Oxf). 2018 Sep 1;40(3):e343-e350 [PMID: 29294055]
  39. Am J Ind Med. 2022 Nov;65(11):832-839 [PMID: 34669194]
  40. Cancer Res Treat. 2020 Jan;52(1):207-217 [PMID: 31291712]
  41. BMC Public Health. 2020 Apr 6;20(1):464 [PMID: 32252721]
  42. Int J Environ Res Public Health. 2022 Jan 07;19(2): [PMID: 35055491]
  43. Aliment Pharmacol Ther. 2005 Apr 1;21(7):813-20 [PMID: 15801916]
  44. J Breast Health. 2017 Apr 01;13(2):62-66 [PMID: 28435747]
  45. Int Arch Occup Environ Health. 2019 Nov;92(8):1151-1157 [PMID: 31270593]
  46. Clin Rheumatol. 2016 Feb;35(2):409-15 [PMID: 26272057]
  47. Asian Pac J Cancer Prev. 2016;17(1):305-10 [PMID: 26838229]
  48. Gynecol Oncol. 2022 Mar;164(3):675-690 [PMID: 34998599]
  49. J Stroke Cerebrovasc Dis. 2021 Sep;30(9):105964 [PMID: 34245946]
  50. J Nurs Scholarsh. 2022 Sep;54(5):546-553 [PMID: 34958178]
  51. Multivariate Behav Res. 2023 Jan-Feb;58(1):195-219 [PMID: 36787523]
  52. Glob Health Res Policy. 2021 Sep 30;6(1):37 [PMID: 34593054]
  53. BMC Public Health. 2020 Feb 11;20(1):209 [PMID: 32046681]
  54. Eur J Cancer. 2009 Mar;45(5):827-36 [PMID: 19054666]
  55. Tob Control. 2020 Mar;29(2):191-199 [PMID: 31073096]
  56. J Cancer Educ. 2019 Oct;34(5):865-870 [PMID: 29951902]

MeSH Term

Humans
Cross-Sectional Studies
China
Students
Neoplasms
Surveys and Questionnaires
Risk Factors
Cognition
Health Knowledge, Attitudes, Practice
Journal Article Research Support, Non-U.S. Gov't
Article has an altmetric score of 1

Word Cloud

Created with Highcharts 10.0.0cancercognitionfactorssymptomswarningriskChinesecollegeamongstudentssymptomdiscriminationpsychologicaldistressCognitionratesCancerhistoryfearevaluatededucation< 0cross-sectionalstudysummersocialpracticeactivityusingQuestionnaireFactorsassociatedeffective9%affectedattitudestowardsscreeningwaysobtainknowledge053%healthliteracyearlyBACKGROUND:investigateanalyzeinfluencingexplaincorrelationsMETHODS:recruitedfundedYunnanProvinceChinaWarningCWSCQRiskCRFCQrespectivelymultiplelinearregressionanalysisInteractionsstructuralequationmodelingRESULTS:846samplesrate8047844%livingexpensesdrinking4691participantslifesatisfactionrelativesfriendssmokingnursingpatientsshowedintermediaryeffects001CONCLUSIONS:overallsituationoptimistichighlightsnecessityimprovingincreasingmorbiditymortalitynecessaryraiseawarenessdetectiontreatmentgeneralpublicHealthinterventionshelpfulimprovestudents:based

Similar Articles

Cited By (1)