Relationship between Socio-Demographic Factors and Adherence to Social Distancing Recommendations During Covid-19 Pandemic in Gonabad, Iran: A Cross-Sectional Study

Determinants of social distancing adherence

Introduction

Governments and public health authorities across many jurisdictions implemented social (physical) distancing measures to contain the spread of the 2019 novel coronavirus disease (COVID-19). Adherence to these measures is variable and likely influenced by various factors. This study aimed to 1) identify the individual sociodemographic, COVID-19 and social distancing related, and psychological determinants of social distancing adherence, and 2) explore regional differences in social distancing adherence in the United States (U.S.) and English-speaking Canada based on each region's discrepant response to social distancing restrictions.

Methods

A web-based repeated cross-sectional survey was conducted in 4,942 English-speaking participants from the four most populous U.S. states, specifically New York, California, Texas, and Florida, and Canada (www.covid19-database.com). The study was conducted at two timepoints, from May 1 to 5, 2020 (n = 1,019, Canadian participants only) and from July 6 to 10, 2020 (n = 3,923). Separate univariate models were computed for individual sociodemographic, COVID-19 and social distancing related, and psychological determinants of social distancing adherence. To determine the total variance explained, a univariate analysis including all of the determinants was performed. Regional differences in social distancing were compared between the four U.S. states and Canada, and between the U.S. as a whole and Canada.

Results

Adherence to social distancing was higher in May (mean = 4.4/5.0±0.7) compared to July (mean = 4.3/5.0±0.7) [t ₍₄₉₄₀₎ = 6.96, p < 0.001], likely a reflection of relaxing restrictions. There were no regional differences in adherence. Sociodemographic, COVID-19 and social distancing related, and psychological determinants explained 10, 36, and 23% of the variance of social distancing adherence, respectively. Higher perceived seriousness of COVID-19 [β (SE) = 0.39 (0.01), p < 0.001, partial η² = 0.22], lower risk propensity [β (SE) = -0.15 (0.01), p < 0.001, partial η² = 0.06], germ aversion [β (SE) = 0.12 (0.01), p < 0.001, partial η² = 0.03], age [β (SE) = 0.01 (0.00), p < 0.001, partial η² = 0.02], and greater social support [β (SE) = 0.03 (0.00), p < 0.001, partial η² = 0.02] had the largest effects on social distancing adherence.

Conclusion

Public service initiatives to emphasize the serious consequences of infection and targeted interventions toward certain sociodemographic groups, such as younger adults and vulnerable individuals in greater need of social support, may help enhance the public's adherence to social distancing measures during subsequent waves of COVID-19 and future pandemics.

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

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.