Predictors of the Social Distancing Behaviors during COVID-19 Pandemic using Protection Motivation Theory in Iran: A cross sectional study
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Keywords

Prediction, Social Distancing, Protection Motivation Theory, COVID-19

Abstract

Background: Social distancing is a key behavior to minimize Coronavirus disease 2019 (COVID-19) infections. Since the change of behavior is the only way to prevent this pandemic, this study aimed to predict the social distancing behaviors during the COVID-19 pandemic using protection motivation theory (PMT).

Methods: This cross-sectional study was conducted through a convenience sampling method on 796 individuals over 15 years old from urban and rural areas of different cities in Iran during 2020. The data were collected online using demographic characteristics form, PMT and social distancing behaviors questionnaires. Afterward, the obtained data were analyzed in SPSS software (version 16) through linear correlation coefficient and hierarchical regression tests.

Results: The Mean±SD score of social distancing behaviors was obtained at 4.42±0.31. The results of the hierarchical linear regression model showed that after adjusting the effect of socio-demographic variables, self-efficacy (Beta=0.238, P<0.001) was the strongest predictor of social distancing behaviors during the COVID-19 pandemic, followed by intention (Beta=0.233, P<0.001) and perceived severity (Beta=0.083, P=0.028). PMT constructs and intention was able to predict 40% of social distancing behaviors in total.

Conclusions: In the prevalence of infectious diseases, individuals differ in adherence to social distancing behaviors. The PMT was a useful framework for prediction social distancing behaviors during the COVID-19 pandemic. Therefore, this theory can be used as a framework in designing educational programs to increase self-efficacy and encourage individuals to observe social distancing behaviors as a result.

https://doi.org/10.15167/2421-4248/jpmh2022.63.1.2228
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References

1- Coroiu A, Moran C, Campbell T, Geller AC (2020) Barriers and facilitators of adherence to social distancing recommendations during COVID- 19 among a large international sample of adults. PLoS ONE. 2020; 15(10): e0239795. https://doi.org/ 10.1371/journal.pone.0239795

2- Georges Adunlin , A. Christson A. Adedoyin , Oreoluwa O. Adedoyin , Anuli Njoku , Yemisi Bolade-Ogunfodun & Bolanle Bolaji .Using the protection motivation theory to examine the effects of fear arousal on the practice of social distancing during the COVID-19 outbreak in rural areas. Journal of Human Behavior in the Social Environment. 2020. DOI: 10.1080/10911359.2020.1783419

3- WHO (2020). WHO Coronavirus Disease (COVID-19) Dashboard . https://covid19.who.int/

4- Iwaya GH, Cardoso JG, Júnior JHDS, Steil AV. Predictors of the intention to maintain social distancing. Brazilian Journal of Public Administration. 2020; 54(4):714-734

5- Ebrahim SH, Ahmed QA, Gozzer E, et al. Covid-19 and community mitigation strategies in a pandemic. BMJ 2020; 368:m1066. doi:10.1136/bmj.m1066
6-Teasdale E, Yardley L, Schlotz W, & Michie S. The importance of coping appraisal in behavioural responses to pandemic flu. British Journal of Health Psychology 2012; 17: 44–59.
7- Meier K, Glatz T, Guijt MC, Piccininni M, Meulen MV, Atmar K, et al. Public perspectives on social distancing and other protective measures in Europe: a cross-sectional survey study during the COVID-19 pandemic. on behalf of the COVID-19 Survey Study group medRxiv 2020. DOI: 10.1101/2020.04.02.20049676 .
8- Centers for Disease Control and Prevention [CDC] (2020). Social distancing: Keep your distance to
slow the spread. Retrieved June 11, 2020 from https://www.cdc.gov/coronavirus/2019-ncov/pre
vent-getting-sick/social-distancing.html#:~:text=Social%20distancing%2C%20also%20called,)%
20from%20other%20people.

9-Ferguson NM, Laydon D, Nedjati-Gilani G, Imai N, Ainslie K, Baguelin M, et al. Impact of non- pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand. Available from www.imperial.ac.uk/media/imperial-college/ medicine/sph/ide/gida-fellowships/Imperial-College-COVID19- NPI-modelling-16-03-2020.pdf 2020.
10- Tara Rava Zolnikov & Frances Furio (2020): First responders and social distancing during the COVID-19 pandemic, Journal of Human Behavior in the Social Environment, DOI: 10.1080/10911359.2020.1811826

11- Abdi M, Mirzaei R. Iran Without Mandatory Quarantine and with Social Distancing Strategy Against Coronavirus Disease (COVID-19). Health Secur. 2020 May/Jun;18(3):257-259. doi: 10.1089/hs.2020.0041. Epub 2020 May 27. PMID: 32463735.

12- Bish A, Michie S. Demographic and attitudinal determinants of protective behaviours during a pandemic: a review. Br J Health Psychol 2010; 15(4):797‐824. doi:10.1348/135910710X485826
13- Williams L, Rasmussen S, Kleczkowski, Maharaj S & Cairns N. Protection motivation theory and social distancing behaviour in response to a simulated infectious disease epidemic. Psychology, Health & Medicine 2015; 20 (7). DOI: 10.1080/13548506.2015.1028946 .
14- Hosseini S S, Rahaei Z, Hekmatimoghaddam S, Sadeghian H A, Dehghani Tafti A. Protective Behavior of Medical Laboratories Personnel in Yazd City: Application of Protection Motivation Theory. J Mil Med. 2017; 19 (2) :143-151
15- Kleczkowski A, Maharaj S, Rasmussen S, Williams L, Cairns N. Spontaneous social distancing in response to a simulated epidemic: a virtual experiment. BMC Public Health 2015; 15: 973. doi.org/10.1186/s12889-015-2336-7
16- Milne S, Sheeran P, Orball SH. Prediction and intervention in Health-Related Behavior: A Meta-Analytic Review of Protection Motivation Theory. Journal of Applied Social Psychology 2000; 30(1): 106-43.
17- Paul, N., Henk, B. and Sydel, E.R., 2005. Protection Motivation Theory. In: Conner, M. and Norman, P. ed. Predicting health behavior. 2nd ed. Open university press, Berkshire, pp. 81-121.
18-Lawshe C. H. (1975) A quantitative approach to content validity. Personnel Psychology 28(4) , 563-575.
19-Hajizadeh A., Asghari M. (2011) Statistical methods and analyzes by looking at the research method in biological and health sciences. First Edition. Tehran, Jihad Daneshgahi Publishing Organization.
20- Munro BH. Statistical methods for health care research: lippincott williams & wilkins; 2005
21- Johnston R, Jones K, Manley D. Confounding and collinearity in regression analysis: a cautionary tale and an alternative procedure, illustrated by studies of British voting behaviour. Qual Quant. 2018;52(4):1957-1976. doi:10.1007/s11135-017-0584-6
22- Kaspar K. Motivations for Social Distancing and App Use as Complementary Measures to Combat the COVID-19 Pandemic: Quantitative Survey Study. J Med Internet Res. 2020; 22(8):e21613.. doi:10.2196/21613
23-Farooq A, Laato S, Islam AKMN. Impact of Online Information on Self-Isolation Intention During the COVID-19 Pandemic: Cross-Sectional Study. J Med Internet Res 2020;22(5):e19128. doi: 10.2196/19128 .
24- Bavel JJV, Baicker K, Boggio PS, Capraro V, Cichocka A, Cikara M, et al. Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav 2020 May;4(5):460-471. doi: 10.1038/s41562-020-0884-z
25- Al-Hasan A, Khuntia J, Yim D. Threat, Coping, and Social Distance Adherence During COVID-19: Cross-Continental Comparison Using an Online Cross-Sectional Survey. J Med Internet Res. 2020;22(11):e23019. DOI: 10.2196/23019
26- Timpka, T.; Spreco, A.; Gursky, E.; Eriksson, O.; Dahlström, Ö.; Strömgren, M.; Ekberg, J.; Pilemalm, S.; Karlsson, D.; Hinkula, J.; et al. Intentions to perform non-pharmaceutical protective behaviors during influenza outbreaks in Sweden: A cross-sectional study following a mass vaccination campaign. PLoS ONE 2014, 9, e91060.

27- Iorfa, S.K.; Ottu, I.F.A.; Oguntayo, R.; Ayandele, O.; Kolawole, S.O.; Gandi, J.C.; Dangiwa, A.L.; Olapegba, P.O. COVID-19knowledge, riskperception and precautionary behaviour among Nigerians: A moderated mediation approach. MedRxiv 2020.

28- Okuhara T, Okada H, Kiuchi T. Predictors of Staying at Home during the COVID-19 Pandemic and Social Lockdown based on Protection Motivation Theory: A Cross-Sectional Study in Japan. Healthcare (Basel). 2020;8(4):475. Published 2020 Nov 11. doi:10.3390/healthcare8040475 .
29- Jones, J.H.; Salathé, M. Early assessment of anxiety and behavioral response to novel swine-origin influenza a (H1N1). PLoS ONE 2009, 4, e8032.