Temporal changes in mental response and prevention patterns, and their impact from uncertainty stress during the transition in China from the COVID-19 epidemic to sporadic infection.

Sihui Peng, Tingzhong Yang, Weifang Zhang, Randall R Cottrell
Author Information
  1. Sihui Peng: School of Medicine, Jinan University, Guangzhou, China, No. 601 Huangpudadaoxi, Guangzhou, 510632, China.
  2. Tingzhong Yang: Women's Hospital/Center for Tobacco Control Research, Zhejiang University School of Medicine, Hangzhou, No. 1 Xueshi Road, Hangzhou, 310006, China.
  3. Weifang Zhang: The Affiliated Hospital of Stomatology, Zhejiang University School of Medicine, Hangzhou, No. 166 Qiutao North Road, Hangzhou, 310016, China.
  4. Randall R Cottrell: Public Health Program, University of North Carolina Wilmington, Wilmington, NC, United States, 601 S. College Road, Wilmington, NC, 28403, United States.

Abstract

An epidemic of a highly lethal disease can overwhelm people emotionally and physically. Little is known about how public mental and preventive patterns changed during the transition from the COVID-19 epidemic to sporadic infection. This study examined changing trends of metal response and behavioral variables, and their impact from uncertainty stress in this process in China. A prospective longitudinal observation design was utilized. There were 7 waves of surveys from COVID-19 epidemic status to the sporadic infection period. Sixty-two participants completed all observation points and were included in the study. The Mann-Kendall Test was used to assess changing trends across the seven observation points. The nonparametric linear mixed effects model was used to examine the association between uncertainty stress and mental and behavioral responses. The mean uncertainty stress did not change significantly over the observation period (Z: -0.911, p > 0.05). This trend was also true for perceived risk, perceived severity, self-efficacy for prevention, and prevention behavior. There was a statistically significant downward trend in irrational beliefs about prevention (Z: -4.993, p < 0.01), sleep (Z: -2.499, p < 0.05), emotions (Z: -5.650, p < 0.01), and lifestyle (Z: -5.978, p < 0.01). The results showed that uncertainty stress was positively associated with irrational beliefs (β: 0.16298, p < 0.01), their sleep (β: 0.02070, p < 0.05), emotions (β: 0.03462, p < 0.01), and lifestyle (β: 0.02056, p < 0.05). High levels of uncertainty stress were negatively associated with self-efficacy for prevention and prevention behavior, β was -1.33210 (p < 0.01) and -0.82742 (p < 0.01). These results may have important policy and disease prevention in post-epidemic times.

Keywords

References

  1. Front Psychol. 2020 Aug 11;11:1821 [PMID: 32849073]
  2. QJM. 2020 May 1;113(5):311-312 [PMID: 32227218]
  3. Zhonghua Liu Xing Bing Xue Za Zhi. 2003 Sep;24(9):760-4 [PMID: 14521764]
  4. Infect Genet Evol. 2020 Oct;84:104384 [PMID: 32473976]
  5. J Nerv Ment Dis. 1995 Feb;183(2):78-85 [PMID: 7844581]
  6. J Child Adolesc Psychiatr Nurs. 2023 Feb;36(1):44-54 [PMID: 36336402]
  7. Am J Health Behav. 2021 Mar 1;45(2):334-341 [PMID: 33888193]
  8. Asian J Psychiatr. 2017 Oct;29:129-133 [PMID: 29061409]
  9. J Clin Nurs. 2021 Feb;30(3-4):397-405 [PMID: 33141987]
  10. Asia Pac J Public Health. 2023 May;35(4):315-317 [PMID: 37070631]
  11. J Ration Emot Cogn Behav Ther. 2023;41(1):144-161 [PMID: 35600236]
  12. Health Educ Res. 2021 Apr 12;36(2):151-158 [PMID: 33724361]
  13. BMC Psychol. 2022 Mar 15;10(1):66 [PMID: 35292110]
  14. Health Place. 2019 Sep;59:102199 [PMID: 31514059]
  15. Appl Cogn Psychol. 2021 Mar-Apr;35(2):486-496 [PMID: 33362344]
  16. Pers Individ Dif. 2021 Sep;179:110893 [PMID: 36540084]
  17. Int J Behav Med. 2009;16(1):30-40 [PMID: 19125335]
  18. Medicine (Baltimore). 2021 Mar 19;100(11):e25210 [PMID: 33726016]
  19. Front Psychol. 2020 Mar 10;11:243 [PMID: 32210868]
  20. Patient Educ Couns. 2022 Feb;105(2):277-283 [PMID: 34565643]
  21. J Pediatr Nurs. 2022 Jan-Feb;62:e69-e76 [PMID: 34301442]
  22. Disaster Med Public Health Prep. 2021 Aug 09;17:e32 [PMID: 34369342]
  23. BMJ. 2020 Mar 26;368:m1211 [PMID: 32217624]
  24. R Soc Open Sci. 2020 Sep 16;7(9):200742 [PMID: 33047037]
  25. SAGE Open Med. 2022 Jul 22;10:20503121221113668 [PMID: 35898953]
  26. J Gen Psychol. 2023 Apr-Jun;150(2):143-170 [PMID: 34006200]
  27. Death Stud. 2022;46(4):979-986 [PMID: 32673183]
  28. Br J Health Psychol. 2010 Nov;15(Pt 4):797-824 [PMID: 20109274]
  29. Front Psychiatry. 2020 Jun 10;11:556 [PMID: 32587539]
  30. BMC Public Health. 2020 Oct 21;20(1):1589 [PMID: 33087109]

Word Cloud

Created with Highcharts 10.0.0p < 0stressprevention01uncertaintyZ:epidemicobservation05β:0mentalpatternsCOVID-19sporadicinfectionbeliefsdiseasetransitionstudychangingtrendsresponsebehavioralimpactChinaperiodpointsused-0trendperceivedself-efficacybehaviorirrationalsleepemotions-5lifestyleresultsassociatedhighlylethalcanoverwhelmpeopleemotionallyphysicallyLittleknownpublicpreventivechangedexaminedmetalvariablesprocessprospectivelongitudinaldesignutilized7wavessurveysstatusSixty-twoparticipantscompletedincludedMann-KendallTestassessacrosssevennonparametriclinearmixedeffectsmodelexamineassociationresponsesmeanchangesignificantly911p > 0alsotrueriskseveritystatisticallysignificantdownward-4993-2499650978showedpositively16298020700346202056Highlevelsnegativelyβ-13321082742mayimportantpolicypost-epidemictimesTemporalchangesIrrationalPreventionSporadicinfectioUncertainty

Similar Articles

Cited By

No available data.