133
Views
1
CrossRef citations to date
0
Altmetric
Original Research

The Prevention Behaviors and Impact Mechanisms Among Different Chinese Social Classes at the Early Stage of COVID-19 Pandemic

, ORCID Icon, , , , & ORCID Icon show all
Pages 711-723 | Published online: 20 Mar 2022

References

  • Lu R, Zhao X, Li J, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395(10224):565–574. doi:10.1016/S0140-6736(20)30251-8
  • World Health Organization. WHO coronavirus (COVID-19) dashboard. WHO; 2021. Available from: https://covid19.who.int/table. Accessed January 11, 2022.
  • World Health Organization. COVID-19 global risk communication and community engagement strategy, December 2020 – may 2021: interim guidance. World Health Organization; 2020.
  • Atchison CJ, Bowman L, Vrinten C, et al. Perceptions and behavioural responses of the general public during the COVID-19 pandemic: a cross-sectional survey of UK Adults. BMJ Open. 2021;11:e043577. doi:10.1136/bmjopen-2020-043577
  • Jay J, Bor J, Nsoesie E, et al. Neighbourhood income and physical distancing during the COVID-19 pandemic in the United States. Nat Hum Behav. 2020;4:1294–1302. doi:10.1038/s41562-020-00998-2
  • Centers for Disease Control and Prevention. Crisis and emergency risk communication:2014 edition. Centers for Disease Control and Prevention; 2018.
  • Centers for Disease Control and Prevention of People’s Republic of China. Epidemic prevention and control protocol of 2019 novel coronavirus (2nd edition). Available from: http://www.nhc.gov.cn/jkj/s3577/202001/c67cfe29ecf1470e8c7fc47d3b751e88.shtml. Accessed February 7, 2020.
  • National Health Commission of People’s Republic of China. Guidelines for public protection against novel coronavirus infection. Available from: http://www.nhc.gov.cn/jkj/s7915/202001/bc661e49b5bc487dba182f5c49ac445b.shtml. Accessed February 7, 2020.
  • Chen JT, Krieger N. Revealing the unequal burden of COVID-19 by income, race/ ethnicity, and household crowding: US county vs ZIP code analyses. Harvard Center for Population and Development Studies Working Paper Series; April 21, 2020. Available from: https://cdn1.sph.harvard.edu/wp-content/uploads/sites/1266/2020/04/HCPDS_Volume-19_No_1_20_covid19_RevealingUnequalBurden_HCPDSWorkingPaper_04212020-1.pdf. Accessed January 7, 2022.
  • Kraus MW, Piff PK, Mendoza-Denton R, Rheinschmidt ML, Keltner D. Social class, solipsism, and contextualism: how the rich are different from the poor. Psychol Rev. 2012;119(3):546–572. doi:10.1037/a0028756
  • Wardle J, Steptoe A. Socioeconomic differences in attitudes and beliefs about healthy lifestyle. J Epidemiol Community Health. 2003;57(6):440–443. doi:10.1136/jech.57.6.440
  • Hiscock R, Bauld L, Amos A, Fidler JA, Munafo M. Socioeconomic status and smoking: a review. Ann NY Acad Sci. 2012;1248:107–123. doi:10.1111/j.1749-6632.2011.06202.x
  • Allen LN, Townsend N, Williams J, Mikkelsen B, Roberts N, Wickramasinghe K. Socioeconomic status and alcohol use in low- and lower-middle income countries: a systematic review. Alcohol. 2018;70(1):23–31. doi:10.1016/j.alcohol.2017.12.002
  • Colgan F, Gospel A, Petrie J, Adams J, Heywood P, White M. Does rear seat belt use vary according to socioeconomic status? J Epidemiol Community Health. 2004;58(11):929–930. doi:10.1136/jech.2003.016972
  • Zhu Y, Minović I, Dekker LH, et al. Nutritional status and diet in elderly with low and high socioeconomic status. Eur J Public Health. 2020;30(Supplement_5):ckaa165.1018. doi:10.1093/eurpub/ckaa165.1018
  • Smith SG, Mcgregor LM, Raine R, Wardle J, Wagner CV, Robb KA. Inequalities in cancer screening participation: examining differences in perceived benefits and barriers. Psycho‐Oncology. 2016;25:1168–1174. doi:10.1002/pon.4195
  • Jiang S, Velasquez-Garcia H. The role of education in colorectal cancer screening participation: updated evidence from Canadian Community Health Survey (2011–2012). Cancer Treat Res Commun. 2017;10:1–5. doi:10.1016/j.ctarc.2016.10.001
  • Rosenstock IM. The health belief model and preventive health behavior. Health Educ Monogr. 1974;2(4):354–386. doi:10.1177/109019817400200405
  • Floyd DL, Prentice‐Dunn S, Rogers RW. A meta-analysis of research on protection motivation theory. J Appl Soc Psychol. 2000;30(2):407–429. doi:10.1111/j.1559-1816.2000.tb02323.x
  • Villar ED, Montañez-Alvarado P, Gutiérrez-Vega M, et al. Factor structure and internal reliability of an exercise health belief model scale in a Mexican population. BMC Public Health. 2017;17(1):1–9. doi:10.1186/s12889-017-4150-x
  • Chen MS, Land KC. Socioeconomic status (SES) and the health belief model: LISREL analysis of unidimensional versus multidimensional formulations. J Soc Behav Pers. 1990;5:263–284.
  • Orbell S, Crombie I, Johnston G. Social cognition and social structure in the prediction of cervical screening uptake. Br J Health Psychol. 1996;1(1):35–50. doi:10.1111/j.2044-8287.1996.tb00490.x
  • Tang CSK, Wong CY. An outbreak of the severe acute respiratory syndrome: predictors of health behaviors and effect of community prevention measures in Hong Kong, China. Am J Public Health. 2003;93(11):1887–1888. doi:10.2105/AJPH.93.11.1887
  • Lau JTF, Yang X, Tsui HY, Pang E. SARS related preventive and risk behaviours practised by Hong Kong-mainland China cross border travellers during the outbreak of the SARS epidemic in Hong Kong. J Epidemiol Community Health. 2004;58(12):988–996. doi:10.1136/jech.2003.017483
  • Lau JTF, Yang X, Tsui H, Pang E, Kim JH. SARS preventive and risk behaviours of Hong Kong air travellers. Epidemiol Infect. 2004;132(4):727–736. doi:10.1017/S0950268804002225
  • Lau JTF, Yang X, Eric W, Tsui HY. Prevalence and factors associated with social avoidance of recovered SARS patients in the Hong Kong general population. Health Educ Res. 2006;21(5):662–673. doi:10.1093/her/cyl064
  • Seeger MW, Pechta LE, Price SM, Lubell KM, Smith BJ. A conceptual model for evaluating emergency risk communication in public health. Health Secur. 2018;16(3):193–203. doi:10.1089/hs.2018.0020
  • Gentili D, Bardin A, Ros E, Piovesan C, Cinquetti S. Impact of communication measures implemented during a school tuberculosis outbreak on risk perception among parents and school staff, Italy, 2019. Int J Environ Res Public Health. 2020;17:911. doi:10.3390/ijerph17030911
  • Ahluwalia SC, Edelen MO, Qureshi N, Etchegaray JM. Trust in experts, not trust in national leadership, leads to greater uptake of recommended actions during the COVID‐19 pandemic. Risk Hazards Crisis Public Policy. 2021;12:1–20. doi:10.1002/rhc3.12219
  • Menon KU, Goh KT. Transparency and trust: risk communications and the Singapore experience in managing SARS. J Commun Manage. 2005;9(4):375–383. doi:10.1108/13632540510621614
  • Peters RG, Covello VT, Mccallum DB. The determinants of trust and credibility in environmental risk communication: an empirical study. Risk Anal. 1997;17(1):43–54. doi:10.1111/j.1539-6924.1997.tb00842.x
  • Siegrist M, Cvetkovich G, Roth C. Salient value similarity, social trust, and risk/benefit perception. Risk Anal. 2010;20(3):353–362. doi:10.1111/0272-4332.203034
  • Min C, Shen F, Yu W, Chu Y. The relationship between government trust and preventive behaviors during the COVID-19 pandemic in China: exploring the roles of knowledge and negative emotion. Prev Med. 2020;141:106288. doi:10.1016/j.ypmed.2020.106288
  • Rubin GJ, Amlot R, Page L, Wessely S. Public perceptions, anxiety, and behaviour change in relation to the swine flu outbreak: cross sectional telephone survey. BMJ. 2009;339:b2651. doi:10.1136/bmj.b2651
  • Abunyewah M, Gajendran T, Maund K, Okyere SA. Linking information provision to behavioural intentions: moderating and mediating effects of message clarity and source credibility. Int J Disaster Resilience Built Environ. 2019;11(1):100–118. doi:10.1108/IJDRBE-08-2019-0059
  • Zhong BL, Luo W, Li HM, Zhang QQ, Li Y. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020;16(10):1745–1752. doi:10.7150/ijbs.45221
  • Renn O. Public responses to the Chernobyl accident. J Environ Psychol. 1990;10(2):151–167. doi:10.1016/S0272-4944(05)80125-2
  • Peters HP, Albrecht G, Hennen L, Stegelmann HU. ‘Chernobyl’ and the nuclear power issue in West German public opinion. J Environ Psychol. 1990;10(2):121–134. doi:10.1016/S0272-4944(05)80123-9
  • Tan JJ, Kraus MW. Lay theories about social class buffer lower-class individuals against poor self-rated health and negative affect. Pers Soc Psychol Bull. 2015;41(3):446–461. doi:10.1177/0146167215569705
  • Ferrer RA, Klein WM, Avishai A, Jones K, Villegas M, Sheeran P. When does risk perception predict protection motivation for health threats? A person-by-situation analysis. PLoS One. 2018;13(3):e0191994. doi:10.1371/journal.pone.0191994
  • Leppin A, Aro AR. Risk perceptions related to SARS and avian influenza: theoretical foundations of current empirical research. Int J Behav Med. 2009;16(1):7–29. doi:10.1007/s12529-008-9002-8
  • Naft MJ, Downey G. Rejection sensitivity as a determinant of well-being during reentry. In: Rubert S, Greifeneder R, Williams K, editors. Current Directions in Ostracism, Social Exclusion, and Rejection Research. New York: Routledge; 2019:190–204.
  • Hayes AF. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York: Guilford Press; 2013.
  • Lin HC, Chen CC. Disease prevention behavior during the COVID-19 pandemic and the role of self-esteem: an extended parallel process model. Psychol Res Behav Manage. 2021;14:123–135. doi:10.2147/PRBM.S291300
  • Edwards JR, Lambert LS. Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. Psychol Methods. 2007;12(1):1–22. doi:10.1037/1082-989X.12.1.1
  • Stringhini S, Sabia S, Shipley M, et al. Association of socioeconomic position with health behaviors and mortality. J Am Med Assoc. 2010;303(12):1159–1166. doi:10.1001/jama.2010.297
  • Piccinelli C, Carnà P, Stringhini S, et al. The contribution of behavioural and metabolic risk factors to socioeconomic inequalities in mortality: the Italian Longitudinal Study. Int J Public Health. 2018;63(5):325–335. doi:10.1007/s00038-018-1076-8
  • Al-Hanawi MK, Hashmi R, Almubark S, Qattan AMN, Pulok MH. Socioeconomic inequalities in uptake of breast cancer screening among Saudi women: a cross-sectional analysis of a National Survey. Int J Environ Res Public Health. 2020;17(6):2056–2068. doi:10.3390/ijerph17062056
  • Ye Y, Wu R, Ge Y, et al. Preventive behaviours and family inequalities during the COVID-19 pandemic: a cross-sectional study in China. Infect Dis Poverty. 2021;10(1):1–14. doi:10.1186/s40249-021-00884-7
  • Berhanu L, Berihun G, Walle Z, et al. COVID-19 prevention practices and associated factors among farmers in Peri-Urban areas of Northeastern Ethiopia. J Multidiscip Healthcare. 2021;14:1843–1852. doi:10.2147/JMDH.S321456
  • Gudrun B, Wang J, Östberg AL, et al. Socio-economic and demographic determinants affecting participation in the Swedish cervical screening program: a population-based case-control study. PLoS One. 2018;13(1):e0190171. doi:10.1371/journal.pone.0190171
  • Turnek M, Brumen B, Rangus M, Gorenak M, Tuhec TL, Lešnik štuhec T. Perceived threat of COVID-19 and future travel avoidance: results from an early convenient sample in Slovenia. Acad Turistica. 2020;13(1):3–19. doi:10.26493/2335-4194.13.3-19
  • Jahangiry L, Bakhtari F, Sohrabi Z, et al. Risk perception related to COVID-19 among the Iranian general population: an application of the extended parallel process model. BMC Public Health. 2020;20(1):1571–1578. doi:10.1186/s12889-020-09681-7
  • Kraus MW, Horberg EJ, Goetz JL, Keltner D. Social class rank, threat vigilance, and hostile reactivity. Pers Soc Psychol Bull. 2011;37(10):1376–1388. doi:10.1177/0146167211410987
  • Wise T, Zbozinek T, Michelini G, Hagan CC, Mobbs D. Changes in risk perception and protective behavior during the first week of the COVID-19 pandemic in the United States. R Soc Open Sci. 2020;7:200742. doi:10.1098/rsos.200742
  • Cypryańska M, Nezlek JB, Capraro V. Anxiety as a mediator of relationships between perceptions of the threat of COVID-19 and coping behaviors during the onset of the pandemic in Poland. PLoS One. 2020;15(10):e0241464. doi:10.1371/journal.pone.0241464
  • Kachanoff FJ, Bigman YE, Kapsaskis K, Gray K. Measuring realistic and symbolic threats of COVID-19 and their unique impacts on well-being and adherence to public health behaviors. Soc Psychol Pers Sci. 2020;12(5):603–611. doi:10.1177/1948550620931634
  • Lalot F, Abrams D, Travaglino GA. Aversion amplification in the emerging COVID-19 pandemic: the impact of political trust and subjective uncertainty on perceived threat. J Community Appl Soc Psychol. 2020;31(2):213–222. doi:10.1002/casp.2490
  • Abraham C, Sheeran P. The health belief model. In: Conner M, Norman P, editors. Predicting and Changing Health Behavior. 3 ed. New York: McGraw-Hill; 2015:30–74.
  • Ryan MJ, Giles-Vernick T, Graham JE. Technologies of trust in epidemic response: openness, reflexivity and accountability during the 2014–2016 Ebola outbreak in West Africa. BMJ Glob Health. 2019;4(4):e001272. doi:10.1136/bmjgh-2018-001272
  • Ranjit YS, Shin H, First JM, Houston JB. COVID-19 protective model: the role of threat perceptions and informational cues in influencing behavior. J Risk Res. 2021;24(2):449–465. doi:10.1080/13669877.2021.1887328
  • Goldberg MH, Gustafson A, Maibach E, Ballew MT, Leiserowitz A. Mask-wearing increased after a government recommendation: a natural experiment in the US during the COVID-19 pandemic. Front in Commun. 2020;5:44. doi:10.3389/fcomm.2020.00044
  • Dryhurst S, Schneider CR, Kerr J, et al. Risk perceptions of COVID-19 around the world. J Risk Res. 2020;23(7–8):994–1006. doi:10.1080/13669877.2020.1758193
  • Bults M, Beaujean D, Richardus JH, Voeten H. Perceptions and behavioral responses of the general public during the 2009 Influenza A (H1N1) pandemic: a systematic review. Disaster Med Public Health Preparedness. 2015;9(2):207–219. doi:10.1017/dmp.2014.160