key: cord-1043067-eqol9g0t
authors: Tang, Chia-Chun; Chen, Hsi; Wu, Wei-Wen
title: Factors influencing the protective behavior of individuals during COVID-19: a transnational survey
date: 2021-11-04
journal: Sci Rep
DOI: 10.1038/s41598-021-01239-w
sha: 3402e7a32205aa1ab6c5db97c001f7cdfa0c4f3f
doc_id: 1043067
cord_uid: eqol9g0t

To slow the spread of infectious disease, it is crucial to understand the engagement of protective behavior among individuals. The purpose of this study was to systematically examine individuals’ protective behaviors and the associated factors across countries during COVID-19. This causal-comparative study used a self-developed online survey to assess individuals’ level of engagement with six protective behaviors. Analysis of variance and McNemar’s test were employed for data analysis. Three hundred and eighty-four responses were analyzed. The majority of participants lived in three areas: Taiwan, Japan, and North America. Overall, the participants reported a high level of engagement in protective behaviors. However, engagement levels varied according to several demographic variables. Hand hygiene and cleaning/ventilation are two independent behaviors that differ from almost all other protective behaviors. There is a need to target the population at risk, which demonstrates low compliance. Different strategies are needed to promote specific protective behaviors.

Six hundred and twenty-nine responses returned with one duplicate response, 240 incomplete responses, and four responses failing attention check items, leaving 384 effective responses in the final analysis. Of the 384 responders (mean age = 39.92, SD = 14.65), 106 (27.6%) were healthcare professionals. The majority lived in Taiwan (n = 258, 67.19%), followed by Japan (n = 86, 33.33%), North America (n = 31, 8.07%), Europe (n = 5, 1.3%), and China (n = 4, 1.04%). Most respondents were women (n = 238, 62%) and had completed higher education (i.e., bachelor/associate degree or above, n = 352, 91.67%). While 182 (47.4%) of the responders were married, 297 did not have children (77.3%). Sixty-five (16.93%) responders had chronic diseases. Table 1 shows the detailed demographic information. (Table 2) . Overall, the participants reported a high level of engagement (i.e., often or always) of practicing each protective behavior. Most respondents indicated that they were often or always upholding cough etiquette (91.1%), wearing masks (70.1%), maintaining social distances (63.8%), washing hands (60.2%), avoiding travel (56.8%), and cleaning/ventilating environment (54.7%). Females engaged in more hand hygiene (p < 0.05), cough etiquette (p < 0.05), and cleaning and ventilation (p < 0.01) than males. People who had children, cleaned and ventilated their environment more often than those who did not (p < 0.05). People with chronic disease, traveled less than their healthy counterparts (p < 0.05).

When grouping individuals according to their residence, statistically significant results were obtained for most behaviors, including wearing facemasks (F (2,372) = 14.057, p < 0.001), avoiding traveling (F (2,372) = 10.161, p < 0.001), social distancing (Welch's F (2, 77.973) = 21.532, p < 0.001), washing hands (F (2,372) = 9.333, p < . 001), and upholding cough etiquette (F (2,372) = 3.167, p < 0.05). Post hoc analysis (Scheffe's test) revealed that people in Japan wore facemasks more frequently than those in Taiwan (p < 0.001) and North America (p < 0.05); people in Taiwan traveled more than people in Japan (p < 0.001) and North America (p < 0.001); people in Taiwan   Table 1 . Demographic information (n = 384). www.nature.com/scientificreports/ practiced social distancing less than people in Japan (p < 0.001), and in North America (p < 0.05). People in Taiwan observed less hand hygiene (p < 0.001) and cough etiquette (p < 0.05) than those in Japan. However, no statistically significant difference was found in terms of whether having a health-related profession background would have an influence on behavior.

To further analyze the influences of demographic variables in area-specific samples, we found that, in Taiwan, health professionals practiced more social distancing (p < 0.05), hand hygiene behavior (p = 0.10), and cleaning and ventilation (p < 0.05) than non-health professionals. Females engaged more frequently in hand hygiene (p < 0.05) and cleaning and ventilation (p < 0.05) than males. People with children had more social distancing (p < 0.01), hand hygiene (p < 0.05), and cleaning and ventilation (p < 0.05) than those who did not. People with chronic disease cleaned and ventilated environments less than those without (p < 0.05). The only statistically significant difference observed in the Japanese sample was sex and cough etiquette; females engaged more in cough etiquette than males (p < 0.05). Table 3 ). The frequency of practicing each protective behavior were classified into lower and higher frequency groups, divided by the mean value of that behavior. Based on the results of McNemar's test, statistically significant differences were found between hand hygiene and all other behaviors (p < 0.001) and between social distancing and cough etiquette (p < 0.05). When focusing on specific areas, hand hygiene and cleaning/ventilation were both significantly different from all other protective behaviors in Taiwan. The responses from Japan showed similar results: cleaning and ventilation were significantly different from all behaviors except for hand hygiene. Hand hygiene was also significantly different from most behaviors, including wearing facemasks, avoiding nonessential travel, and social distancing. In addition, cough etiquette was significantly different from wearing facemasks and avoiding nonessential travel.

This study was guided by the HBM to structurally survey a set of protective behaviors and their associated factors across countries, several months after the onset of the COVID-19 pandemic. The validity and reliability of the author-established survey were good to excellent 14 . The 384 effective responses were mainly obtained from Table 2 . Post hoc (Scheffe's test) results: the differences of protective behavior engagement according to demographic variables. NA = North America, -= There is no significant difference between groups, ***p < 0.001, **p < 0.01, *p < 0.05. Table 3 . McNemar's test results: relationship among protective behaviors. All = all responses (including Taiwan, Japan, North America, and others, n = 384), Taiwan = Taiwan's responses (n = 258), Japan = Japan's responses (n = 86), ***p < 0.001, **p < 0.01, *p < 0.05. www.nature.com/scientificreports/ three countries or areas: Taiwan, Japan, and North America. The majority of the participants were middle-aged and highly educated.

The first aim of this study was to describe how individuals adopt protective behaviors concerning different demographic variables. We found that most individuals often or always engaged in protective behaviors, especially over 90% of them practiced cough etiquette and over 70% wore masks frequently. This result echoes the findings of other COVID-19 studies, which revealed that 70-90% of people adopted recommended behavior in the United States, Europe, Qatar, Veniamin, and India 6, 7, 11, 12, [15] [16] [17] [18] . That is, people were highly aware of and actively responded to the ongoing pandemic. However, our results revealed a lower adherence rate to hand washing than in almost all published studies. This difference may be due to the research period, while most relevant studies collected this information at the very beginning of the pandemic (March 2020) and observed an increasing trend of adopting protective measures over weeks 15, 16 , our survey was conducted later, and suggested a slight decrease in the adoption of protective measures. A decreasing trend in the adoption of protective measures was also observed by Dohle et. al., who followed up their survey (first conducted in March) in May 6 . This reflects that, regardless of the ongoing pandemic, the engagement of protective measures fluctuates, and when a pandemic lasts over 3 months, "behavioral fatigue" may be an issue calling more discussions and interventions 19 . While face masks still earn a high level of engagement because of government regulations in many countries, authorities may want to pay more attention to consistently promoting hand washing.

The levels of protective behavior engagement were affected by several demographic variables, including residence, health-related background, sex, and having children. Specifically, our results revealed that people living in Taiwan were less likely to engage in protective behaviors than those living in Japan or North America. In addition to different government support 18 , this may be associated with different disease situations in these areas. During the data collection period, Taiwan was in a more stable situation with about 447 COVID cases (incidence rate < 0.0019%) compared to Japan (18,476 cases, incident rate < 0.015%) and North America (> 2.6 million cases, > 0.8% incident rate) 2 . It is assumed that people living in an area with a more severe situation adhere more to protective behaviors than those living in areas with relatively stable situations. Because it is difficult to detect potential factors affecting behaviors under the ceiling effect of high adherence rate, the slightly lower adherence rate in Taiwan actually gives us more room to explore possible relationships between demographic variables and behavior. For example, Jose et al. 17 examined a group of people who highly adhered to protective behaviors and found no relationship between the level of behavioral engagement and if an individual has a health-related background, which is similar to our findings in a Japanese sample 17 . However, we observed significant differences in the frequencies of performing protective behaviors between the general population and individuals with health-related backgrounds. This suggests that while the general population may be alert to the pandemic and quickly change their behavior, the changes may last for only a limited period. On the other hand, individuals with a health-related background may sustain their behavioral changes longer. Future studies are needed to examine whether health-related backgrounds contribute to adoption of protective behavior.

Similar to the findings of many studies 6, 7, [9] [10] [11] 15 , our results indicate that women are more likely to adopt protective behaviors. Although the reason for this is not clear, it may be associated with different beliefs. In their study, Wise et al. pointed out that 'females thought that they were more likely to pass on the virus if infected than males could' 16 ; Pagnini et al. 's findings also indicated that women were more worried about the pandemic 10 . Interestingly, based on the results from a study focused on the influenza pandemic, men tended to wear fewer masks but were more willing to be vaccinated compared to women 20 . To uncover why sex causes differences in behavior engagement is an important topic for future studies to target specific populations with lower compliance.

In line with another study 6 , it was observed that people who have children, follow protective measures more often and people with chronic disease travel less, and when caring for such vulnerable populations, one should be more careful about using protective measures. In contrast, a surprising finding about individuals with chronic disease was that they cleaned and ventilated environments significantly less than those without chronic disease in Taiwan. A similar situation was observed in the USA, where health status seems to be unrelated to protective behavior 15 . Another German study mentioned that health status has a small correlation with behavioral acceptance but is not associated with behavioral adoption 6 . Although there is no explanation for this phenomenon, some relevant information may be considered. For instance, based on our clinical experiences, some patients with cancer described that the environment is friendlier to them now, because more people are aware of disinfecting the environment. A study conducted in Italy indicated that physical status was not related to worry about the pandemic 10 . These clues suggest that some vulnerable people have a more relaxed attitude toward the pandemic and are worth investigating in order to protect the population at risk for infectious diseases.

In response to the second aim regarding the relationship among protective behaviors, it was found that hand hygiene and cleaning/ventilation are two independent behaviors that differ from almost all other protective behaviors regionally and internationally. This result stimulated considerations when promoting a set of protective measures to stop the spread of disease. It seems that the knowledge, perception, and decision making of practicing hand hygiene or cleaning/ventilation may differ from those of adopting other protective behaviors. Factors, such as different promotion strategies, advertisement, regulation, and evidence level of each protective measure may contribute to these differences. We certainly cannot expect individuals who wash their hands frequently also put on their masks. Authorities may want to provide sufficient information and enhance the motivation for each desired behavior separately. There are limitations to this study that should be considered. Similar to other online surveys, our population was young, with a high education level. This may raise concerns of collider bias 21 and limit the generalizability of our results. However, our results were similar to other studies that have included samples with diverse educational background and age groups. For example, a German study (n = 3189) which ensured equal distribution of educational level and age group also suggested that female gender was associated with higher odds of adopting protective behavior 22 

This study investigated the status of the engagement of a set of protective measures and their relationship with each other and with demographic variables across different countries during the COVID-19 pandemic. The established survey can be utilized to investigate individuals' behavior and perception of infectious diseases or public health events in the future. Our results showed the need to target a particular population that is at risk and demonstrates low compliance. It also suggests that authorities may want to design specific strategies for different protective behaviors and sustain the adoption of behavior during the ongoing pandemic. Future studies are needed to confirm the factors that contribute to a low compliance rate.

This was a causal-comparative study 23 with a cross-sectional design. The study was reviewed and approved by the research ethics committee of the National Taiwan University Hospital. All methods have been performed in accordance with the Declaration of Helsinki. Electronic informed consent was obtained from all participants.

The survey. The survey was developed based on a literature review and the HBM model by the research team, consisting of professionals with nursing and psychological backgrounds. A couple of medical experts were invited to review the content validity and 30 individuals were recruited to fill out the questionnaire as a pilot. The results were analyzed using factor analysis to verify the construct validity. The finalized items were translated and back-translated to confirm the English and Japanese versions. Cronbach's alpha ranged from 0.66 to 0.85 for all subscales in the main study. The final survey can be found in the supporting information.

In this study, we employed the survey to collect demographic data and assess the frequency of practicing protective behaviors using a five-point Likert-type scale. Specifically, we investigated six protective behaviors, which were suggested across countries during the COVID-19 pandemic 24-26 : wearing facemasks, avoiding nonessential travel, social distancing, hand hygiene, cough etiquette, and cleaning and ventilation.

Sampling and survey distribution. The survey was advertised on social media (Facebook, Instagram) and search engine (Google) from June 8th 2020 to June 22nd 2020. The target population included individuals who lived in Taiwan, the United States, Canada, and Japan at the time when the study was conducted. Despite the 2-week advertising period, the survey was kept open for 3 weeks. Participants were required to be at least 20 years old and be able to read and understand the provided language in the survey.

Descriptive analysis was used to analyze the demographic data of the participants.

Analysis of variance (ANOVA) was applied to test if the frequency of engaging in behaviors differed according to (1) residence, (2) health profession-related background, (3) sex, (4) having children or not, and (5) having chronic disease or not. Homogeneity of variance was tested by Levene's test, and if variance was not homogeneous, Welch's test was applied instead. McNemar's test was used to analyze the relationship between protective behaviors.

WHO. Coronavirus disease (COVID-19) outbreak situation

A cross-country database of COVID-19 testing

An interactive web-based dashboard to track COVID-19 in real time

Simulating influenza pandemic dynamics with public risk communication and individual responsive behavior

Community knowledge, behaviours and attitudes about the 2009 H1N1 influenza pandemic: A systematic review

Acceptance and adoption of protective measures during the Covid-19 pandemic: The role of trust in politics and trust in science

Masks, gloves, and the COVID-19 pandemic: Rapid assessment of public behaviors in the United States

Knowledge, behavior and precautionary measures related to COVID-19 pandemic among the general public of Punjab province

Compliance without fear: Individual-level protective behavior during the first wave of the COVID-19 pandemic

Knowledge, concerns, and behaviors of individuals during the first week of the coronavirus disease 2019 pandemic in Italy

Personality traits, risk perception, and protective behaviors of Arab residents of Qatar during the COVID-19 pandemic

Preventive behavior of Vietnamese people in response to the COVID-19 pandemic

Relationships between health protective behaviors

The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability

Socio-demographic factors associated with self-protecting behavior during the COVID-19 pandemic

Changes in risk perception and protective behavior during the first week of the COVID-19 pandemic in the United States

Public perception and preparedness for the pandemic COVID 19: A health belief model approach

Public perspectives on protective measures during the COVID-19 pandemic in the Netherlands, Germany and Italy: A survey study

Social capital and health-protective behavior intentions in an influenza pandemic

Collider bias undermines our understanding of COVID-19 disease risk and severity

Protective behavior in course of the COVID-19 outbreak-Survey results from Germany. Front

Encyclopedia of Research Design

COVID-19) Protect Yourself

Guidelines for the use of non-pharmaceutical measures to delay and mitigate the impact of 2019-nCoV

The authors would like to thank Mr. Hsu-Chiang Pan for survey validation; thank Dr. Winne Tung, Mr. William Lin, Mrs. Juri Matsuda, and Mr. Feng Chen for survey translation; and thank National Taiwan University Hospital-Statistical Consulting Unit (NTUH-SCU), and Dr. Chieh-Yu Liu for statistic consultation.

Conceptualization, All authors; methodology, C.T. and W. W.; software, C.T. and H.C.; validation, C.T. and W.W.; formal analysis, C.T. and H.C; investigation, C.T. and H.C.; resources, C.T.; data curation, C.H.; writing-original draft preparation, C.T. and H.C.; writing-review and editing, C.T. and W.W.; supervision, W.W.; project administration, C.T.; All authors have read and agreed to the published version of the manuscript.

The authors declare no competing interests.

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