| Literature DB >> 34567963 |
Arielle Kaim1,2, Maya Siman-Tov1,3, Eli Jaffe3, Bruria Adini1.
Abstract
INTRODUCTION: In the ongoing COVID-19 global pandemic, compliance to governmental orders is a challenge in the effort to contain the spread of the virus. A cross-sectional study of the Israeli population during the first wave of the outbreak is utilized to elucidate factors that enhance or impede public compliance to the governmental regulation of lockdown and illustrate the practical complexities of staying at home for an elongated time duration.Entities:
Keywords: COVID-19; Compliance; Lockdown; Pandemics; The public
Year: 2021 PMID: 34567963 PMCID: PMC8455356 DOI: 10.1016/j.ijdrr.2021.102596
Source DB: PubMed Journal: Int J Disaster Risk Reduct ISSN: 2212-4209 Impact factor: 4.320
Study population characteristics.
| N = 503 | |
|---|---|
| 40.5 ± 14.4 | |
| Sex | |
| Male | 246 (48.9 %) |
| Female | 257 (51.1 %) |
| Marital status | |
| In relationship without children | 100 (19.9 %) |
| In relationship with children | 264 (52.5 %) |
| Not in a relationship and without children | 97 (19.3 %) |
| Not in a relationship with children | 42 (8.3 %) |
| Religiosity | |
| Secular | 261 (51.9 %) |
| Traditional | 157 (31.2 %) |
| Religious | 71 (14.1 %) |
| Orthodox | 14 (2.8 %) |
| Children | |
| None | 186 (37.0 %) |
| 1–3 | 151 (50.0 %) |
| 4+ | 66 (13.0 %) |
| Level of education | |
| Elementary school | 5 (1.0 %) |
| 12 years | 121 (24.1 %) |
| Professional education | 132 (26.2 %) |
| Bachelor's Degree | 158 (31.4 %) |
| Master Degree or Higher | 87 (17.3 %) |
| Income Level | |
| Below average | 118 (43.3 %) |
| Average | 160 (31.8 %) |
| Above average | 125 (24.9 %) |
Fig. 1Factors that enhance compliance to governmental directives during COVID-19 pandemic (to a great extent - 5).
Fig. 2Factors that impede compliance with governmental directive during COVID-19 pandemic (to a great extent - 5).
Fig. 3Activities engaged in during home isolation (to a high or very high extent).
Correlations between resilience, distress symptoms, and factors that enhance or impede compliance with home isolation.1.
| Distress symptoms | Factors that enhance compliance | Factors that impede compliance | |
|---|---|---|---|
| Resilience | r = −.318 | r = .225 | r = .052 |
| p < .001 | p < .001 | p = .242 | |
| Distress symptoms | 1 | r = −.082 | r = .402 |
| p = .066 | p < .001 | ||
| Factors that enhance compliance | r = −.082 | 1 | r = .274 |
| p = .066 | p < .001 |
Notes: r value is the Pearson correlation coefficient measures that range from −1 to +1; p value or probability value of p < .05 indicates statistical significance.
Results of regression analysis for predicting a high compliance to the guidelines to stay home.1.
| OR (95 %CI) | p-value | |
|---|---|---|
| Age | .99 (.98–1.00) | .49 |
| Gender | .72 (.49–1.08) | .12 |
| Resilience | .87 (.63–1.21) | .43 |
| Negative feeling | .75 (.54–1.04) | .09 |
| Factors that enhance compliance | 1.49 (1.36–1.63) | <.001 |
| Factors that impede compliance | .96 (.83–1.10) | .54 |
Nagelkerke R Square = 0.28.
OR refers to Odds Ratio, which is a measure of strength of association between two events in a population; CI, refers to confidence interval, which is a range of values that is likely to include a population parameter within a certain degree of confidence.