| Literature DB >> 32757087 |
Shaoting Yue1, Jun Zhang2, Mi Cao1, Bowen Chen3.
Abstract
This study aims to understand the knowledge, attitudes and practices of COVID-19 in the Chinese context and to provide insights for developing targeted outbreak prevention and control measures among the general public. We conducted an online survey of urban and rural residents in Henan Province. A total of 517 valid questionnaires were collected via the online platform. The mean scores for knowledge and practice were 5.57/9 and 2.04/3, respectively. More than 90% of the participants believed COVID-19 was serious and preventable, were concerned about the disease process, and actively engaged in learning related knowledge. Our results showed that the COVID-19 knowledge level was significantly different among groups with different ages, genders, education levels and marital statuses; COVID-19 practice was significantly different among different regions. Multiple linear regression analysis showed that education level, female sex, unmarried status, and health care worker status had a significant impact on COVID-19 knowledge; urban area was associated with a higher practice score; COVID-19 knowledge was significantly associated with residents' attitude toward preventive measures that can prevent COVID-19 infection; urban area was significantly related to the willingness to go to a fever clinic to check for suspected infection. We found that Chinese urban and rural residents held a moderate level of COVID-19 knowledge and practice and showed a positive attitude toward the disease. It is necessary to develop relevant education programs targeting the general population in China to improve COVID-19-related knowledge, attitudes and practices, particularly for rural and undereducated residents.Entities:
Keywords: Attitude; COVID-19; Knowledge; Practice; Residents
Mesh:
Year: 2021 PMID: 32757087 PMCID: PMC7403196 DOI: 10.1007/s10900-020-00877-x
Source DB: PubMed Journal: J Community Health ISSN: 0094-5145
Demographic characteristics of the participants (n = 517)
| Demographic characteristics | Number of participants (%) |
|---|---|
| Age (years) | |
| 15–20 | 73 (14.12%) |
| 21–30 | 272 (52.61%) |
| 31–40 | 5 (9.86%) |
| 41–50 | 83 (16.05%) |
| 51–60 | 38 (7.35%) |
| Gender | |
| Female | 278 (53.77%) |
| Male | 239 (46.23%) |
| Area of residence | |
| Urban | 158 (30.56%) |
| Rural | 359 (69.44%) |
| Occupation | |
| Student | 188 (36.40%) |
| Farmer | 94 (18.20%) |
| Worker | 49 (9.50%) |
| Teacher | 24 (4.64%) |
| Health care worker | 33 (6.38%) |
| Business/service personnel | 52 (10.06%) |
| Professional and technical personnel | 19 (3.68%) |
| Civil servants and related personnel | 5 (0.97%) |
| Government official | 3 (0.58%) |
| Production and transportation Equipment personnel | 2 (0.39%) |
| Retiree | 2 (0.39%) |
| Else | 47 (9.09%) |
| Education level | |
| Primary school and below | 37 (7.16%) |
| Middle school | 98 (18.96%) |
| Senior high school/vocational school | 132 (25.53%) |
| Junior college/bachelor’s degree | 197 (38.10%) |
| Master’s degree and above | 53 (10.25%) |
| Marital status | |
| Never married | 302 (58.41%) |
| Married | 204 (39.46%) |
| Divorced | 7 (1.35%) |
| Widowed | 4 (0.77%) |
Knowledge, attitude and practice of COVID-19 among the participants (n = 517)
| Items | Correct answer rate/choose “yes” (%) |
|---|---|
| Knowledge | |
| Name of COVID-19 | 49.00 |
| The cause of COVID-19 | 49.10 |
| How to properly wear a surgical mask/disposable surgical mask | 95.30 |
| The incubation period of COVID-19 | 84.30 |
| Clinical symptoms of COVID-19 | 41.90 |
| Is there any specific drug to treat COVID-19 | 74.60 |
| The transmission route of COVID-19 | 23.40 |
| Masks that can be used to prevent COVID-19 | 52.80 |
| Proper diet | 42.10 |
| Attitude | |
| Actively acquire COVID-19-related knowledge | 92.60 |
| Worried about infection | 95.70 |
| Concerned about the deterioration of the outbreak | 99.40 |
| Considered the outbreak to be very serious | 100.00 |
| Knew that preventive measures, such as reducing going out and washing hands frequently, can prevent it | 99.60 |
| Went to the hospital after suspecting infection | 66.30 |
| Immediately report or cut off contact with people returning from Wuhan or its surrounding areas | 99.60 |
| Practice | |
| Purchased a medical surgical mask/disposable surgical mask | 87.60 |
| Covered nose and mouth with tissues or arms while coughing or sneezing | 70.40 |
| Washed hands using 7-step protocol | 45.10 |
Multiple linear regression analysis of COVID-19 knowledge and related factors
| Variable | Partial regression coefficients | Standard error | Standardized regression coefficient | T | |
|---|---|---|---|---|---|
| Constant | 5.402 | 0.139 | – | 38.826 | 0.000 |
| Gender | − 0.273 | 0.125 | − 0.089 | − 2.174 | 0.030* |
| Education level (Junior college/bachelor’s degree vs. Primary school and below) | 0.724 | 0.148 | 0.230 | 4.901 | 0.000* |
| Education level (Master’s degree and above vs. Primary school and below) | 1.211 | 0.224 | 0.241 | 5.406 | 0.000* |
| Marital status | − 0.421 | 0.141 | − 0.135 | − 2.991 | 0.003 |
| Occupation | 0.904 | 0.258 | 0.145 | 3.501 | 0.001* |
*P < 0.05; F = 4.725, P = 0.030, R2 = 0.188, adjusted R2 = 0.180; adjusted R2 indicated that the equation had a predicted accuracy of 18.0%
Factors significantly associated with attitudes toward COVID-19
| Variable | OR | |
|---|---|---|
| Preventive measures, such as reducing going out and washing hands frequently, can prevent it | ||
| COVID-19 knowledge score | 0.571 | 0.041* |
| Went to the hospital after suspecting infection | ||
| Area (urban vs. rural) | 0.586 | 0.018* |
*P < 0.05; Note. COVID-19 attitude as dependent variable (binary)
COVID-19 practice and related factors
| Variable | Partial regression coefficients | Standard error | Standardized regression coefficient | T | |
|---|---|---|---|---|---|
| Constant | 1.980 | 0.043 | – | 46.349 | 0.000 |
| Area (urban vs. rural) | 0.183 | 0.077 | 0.104 | 2.376 | 0.018* |
*P < 0.05; F = 5.646, P = 0.018, R2 = 0.021, adjusted R2 = 0.017; adjusted R2 indicated that the equation had a predicted accuracy of 1.7%