Fear of Covid-19 and Compliance with Preventive Behaviours: Gender Differences among Youth in India

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DOI: 10.21522/TIJPH.2013.SE.22.01.Art003

Authors : Shruti Jhamb, Devashri Bhargava, Megha Dhillon

Abstract:

The Covid-19 pandemic has emerged as a gendered phenomenon in several ways, with women reporting greater risk aversion, perceived chances of infection and fear of family members getting sick compared to men. The present study aimed to investigate gender differences in fear of Covid-19 and compliance to preventive behaviour during the pandemic among young adults in the metropolitan cities of India. Although India has been one of the countries hardest hit by the pandemic, this remains an under-investigated area here. Data was collected from 159 participants (79 men and 80 women) on two variables: fear, measured by the Fear of Covid-19 Scale, and compliance, measured by the Preventive Behaviours Questionnaire. The results indicated no gender differences for both variables, thereby, rejecting the hypothesis of the study that women will be more fearful and compliant than men. Further, a content analysis designed to identify the reasons for low compliance among participants who reported the least levels of adherence to preventive Behaviours found the main factors to be high rates of vaccination and the presence of Covid fatigue. The lack of gender differences found in the study necessitates further research but may potentially be partly attributed to the severity of the pandemic in the country, supplemented by similar levels of exposure to information about the pandemic among men and women. The lack of gender differences in fear may explain the lack of differences found for compliance. Implications and strategies for tackling factors driving low compliance to preventive Behaviours are discussed.

Keywords: Fear of Covid, Gender differences, Health, Preventive behaviours.

References:

[1].   MoHFW | Home. (2020). Ministry of Health and Family Welfare. https://www.mohfw.gov.in/.

[2].   Dukhi, N., Mokhele, T., Parker, W. A., Ramlagan, S., Gaida, R. & Mabaso, M. et al. (2021). Compliance with lockdown regulations during the Covid-19 pandemic in South Africa: Findings from an online survey. The Open Public Health Journal, 14(1), 45–55. https://doi.org/10.2174/1874944502114010045.

[3].   Khare, B. V. (2021, April 17). India’s Kumbh festival attracts big crowds amid devastating second Covid wave. BBC News. https://www.bbc.com/news/world-asia-india-56770460.

[4].   Pandey, B. V. (2021, May 5). Coronavirus: How India descended into Covid-19 chaos. BBC News. https://www.bbc.com/news/world-asia-india-56977653.

[5].   Roy, S. (2022, January 5). Covid caution: 10k challans worth Rs 2 crore issued in Delhi in first 2 days of 2022. The Times of India. https://timesofindia.indiatimes.com/city/delhi/Covid-caution-10k-challans-worth-rs-2cr-issued-in-first-2-days-of-2022/articleshow/88698399.cms.

[6].   Salgado, S., & Berntsen, D. (2021). “It won’t happen to us”: Unrealistic optimism affects Covid-19 risk assessments and attitudes regarding protective behaviour. Journal of Applied Research in Memory and Cognition, 10(3), 368–380. https://doi.org/10.1016/j.jarmac.2021.07.006.

[7].   Cohn, L., & Esparza-Del Villar, O. (2015). Fatalism and health behavior: a meta-analytic review. http://doi.org/10.13140/RG.2.2.10843.98085.

[8].   Loke, A., Mak, Y., & Wu, C. (2016). The association of peer pressure and peer affiliation with the health risk Behaviours of secondary school students in Hong Kong. Public Health, 137, 113–123. https://doi.org/10.1016/j.puhe.2016.02.024.

[9].   SoleimanvandiAzar, N., Irandoost, S. F., Ahmadi, S., Xosravi, T., Ranjbar, H., Mansourian, M., & Yoosefi Lebni, J. (2021). Explaining the reasons for not maintaining the health guidelines to prevent Covid-19 in high-risk jobs: a qualitative study in Iran. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-10889-4.

[10].  Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988). Social Learning Theory and the Health Belief Model. Health Education Quarterly, 15(2), 175–183. https://doi.org/10.1177/109019818801500203.

[11].  Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t.

[12].  Wollast, R., Schmitz, M., Bigot, A., & Luminet, O. (2021). The Theory of Planned Behavior during the Covid-19 pandemic: A comparison of health Behaviours between Belgian and French residents. PLoS One, 16(11), e0258320. https://doi.org/10.1371/journal.pone.0258320

[13].  Rice, R. E. (2006). Influences, usage, and outcomes of Internet health information searching: Multivariate results from the Pew surveys. International Journal of Medical Informatics, 75(1), 8–28. https://doi.org/10.1016/j.ijmedinf.2005.07.032.

[14].  Galasso, V., Pons, V., Profeta, P., Becher, M., Brouard, S., & Foucault, M. (2020). Gender differences in Covid-19 attitudes and behavior: Panel evidence from eight countries. Proceedings of the National Academy of Sciences, 117(44), 27285–27291. https://doi.org/10.1073/pnas.2012520117.

[15].  Frederiksen B., Gomez I., Salganicoff A., Ranji U. (2020, March 20). Coronavirus: A Look at Gender Differences in Awareness and Actions. KFF. https://www.kff.org/womens-health-policy/issue-brief/coronavirus-a-look-at-gender-differences-in-awareness-and-actions/.

[16].  Haischer, M. H., Beilfuss, R., Hart, M. R., Opielinski, L., Wrucke, D., Zirgaitis, G., Uhrich, T. D., & Hunter, S. K. (2020). Who is wearing a mask? Gender-, age-, and location-related differences during the Covid-19 pandemic. PLoS One, 15(10), e0240785. https://doi.org/10.1371/journal.pone.0240785.

[17].  Griffith, D. M., Sharma, G., Holliday, C. S., Enyia, O. K., Valliere, M., Semlow, A. R., Stewart, E. C., & Blumenthal, R. S. (2020). Men and Covid-19: A Biopsychosocial Approach to Understanding Sex Differences in Mortality and Recommendations for Practice and Policy Interventions. Preventing Chronic Disease, 17. https://doi.org/10.5888/pcd17.200247.

[18].  Peckham, H., de Gruijter, N. M., Raine, C., Radziszewska, A., Ciurtin, C., Wedderburn, L. R., Rosser, E. C., Webb, K., & Deakin, C. T. (2020). Male sex identified by global Covid-19 meta-analysis as a risk factor for death and ITU admission. Nature Communications, 11(1). https://doi.org/10.1038/s41467-020-19741-6.

[19].  Jin, J. M., Bai, P., He, W., Wu, F., Liu, X. F., Han, D. M., Liu, S., & Yang, J. K. (2020). Gender Differences in Patients with Covid-19: Focus on Severity and Mortality. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.00152.

[20].  Mangia, C., Russo, A., Civitelli, S., & Gianicolo, E. (2020). Differenze sesso/genere nella letalità Covid-19: cosa dicono e non dicono i dati [Sex/gender differences in Covid-19 lethality: what the data say, and do not say]. Epidemiologia e prevenzione, 44(5-6 Suppl 2), 400–406. https://doi.org/10.19191/EP20.5-6.S2.145.

[21].  Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The Fear of Covid-19 Scale: Development and Initial Validation. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-020-00270-8.

[22].  Firouzbakht, M., Omidvar, S., Firouzbakht, S., & Asadi-Amoli, A. (2021). Covid-19 preventive Behaviours and influencing factors in the Iranian population; a web-based survey. BMC Public Health, 21(1). https://doi.org/10.1186/s12889-021-10201-4

[23].  P. (2022, January 13). A deadly Delta wave stole 2,40,000 lives in India between April-June, “similar episodes” could take place in the Economic Times. https://economictimes.indiatimes.com/news/india/deadly-delta-wave-stole-240000-lives-in-india-between-april-june-similar-episodes-could-take-place-in-near-term-un-report/articleshow/88883714.cms?from=mdr.

[24].  Alsharawy, A., Spoon, R., Smith, A., & Ball, S. (2021). Gender Differences in Fear and Risk Perception During the Covid-19 Pandemic. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.689467.

[25].  Rattay, P., Michalski, N., Domanska, O. M., Kaltwasser, A., de Bock, F., Wieler, L. H., & Jordan, S. (2021). Differences in risk perception, knowledge, and protective behaviour regarding Covid-19 by education level among women and men in Germany. Results from the Covid-19 Snapshot Monitoring (COSMO) study. PLoS One, 16(5), e0251694. https://doi.org/10.1371/journal.pone.0251694.

[26].  Siegrist, M., Gutscher, H., & Earle, T. C. (2005). Perception of risk: the influence of general
trust, and general confidence. Journal of Risk Research, 8(2), 145–156. https://doi.org/10.1080/1366987032000105315.

[27].  YouGov. YouGov/ sky survey results, 2020. Available: https://docs.cdn.yougov.com/8jj48ajo8c/SKY_Vaccine_201203.pdf.

[28].  Wright, L., Steptoe, A., Mak, H. W., & Fancourt, D. (2021). Do people reduce compliance with Covid-19 guidelines following vaccination? A longitudinal analysis of matched UK adults. Journal of Epidemiology and Community Health, jech-2021. https://doi.org/10.1136/jech-2021-217179.

[29].  Hedlund, J. (2000). Risky business: safety regulations, risk compensation, and individual behavior. Injury Prevention, 6(2), 82–89. https://doi.org/10.1136/ip.6.2.82.

[30].  Andersson, O., Campos-Mercade, P., Meier, A. N., & Wengström, E. (2021). Anticipation of Covid-19 vaccines reduces willingness to socially distance. Journal of Health Economics, 80, 102530. https://doi.org/10.1016/j.jhealeco.2021.102530.

[31] Lilleholt, L., Zettler, I., Betsch, C., & Böhm, R. (2020). Pandemic Fatigue: Measurement, Correlates, and Consequences. PsyArXiv Preprints. https://doi.org/10.31234/osf.io/2xvbr.