| Literature DB >> 35232399 |
Tingting Yang1, Xin Shen2, Yongguang Yang3, Yong Gan2, Jing Feng2, Zihui Lei2, Weixin Zhang4, Yuxin Zhao5, Lijun Shen6.
Abstract
BACKGROUND: Only when people feel they have received timely disclosure will they have sufficient incentive to implement community prevention and control measures. The timely and standardized information published by authorities as a response to the crisis can better inform the public and enable better preparations for the pandemic during the low transmission period of COVID-19; however, there is limited evidence of whether people consent that information is disclosed timely and influencing factors.Entities:
Keywords: COVID-19; China; Disclosure; Health information; Information; Information disclosure; Low transmission period; Public attitudes
Mesh:
Year: 2022 PMID: 35232399 PMCID: PMC8887935 DOI: 10.1186/s12889-022-12804-x
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Statistical description of study samples: univariate Analysis of the differences of residents’ attitudes to consent COVID-19 information has been disclosed timely during the low transmission period
| Variables | N (%) | Evidence Degrees | ||
|---|---|---|---|---|
| Total | 2361 (100) | NA | NA | NA |
| Consent COVID-19 information has been disclosed timely | ||||
| Yes | 1704 (72.17) | NA | NA | NA |
| No | 657 (27.83) | |||
| Gender | ||||
| Male | 942 (39.90) | 0.415 | 0.520 | Low |
| Female | 1419 (61.10) | |||
| Age group, y | ||||
| 18–44 | 1845 (78.14) | 64.094 | High | |
| 45–59 | 369 (15.63) | |||
| > 60 | 111 (4.70) | |||
| Highest educational level | ||||
| Primary school or below | 68 (2.88) | 13.475 | 0.001 | High |
| Middle school | 186 (7.88) | |||
| College degree or above | 2107 (89.24) | |||
| Place of residence | ||||
| Urban | 1372 (58.11) | 5.762 | High | |
| Rural | 989 (41.89) | |||
| Region | ||||
| Eastern China | 421 (17.83) | 35.886 | High | |
| Central China | 1470 (62.26) | |||
| Western China | 470 (19.91) | |||
| Employment status | ||||
| Employed | 1014 (42.95) | 8.721 | High | |
| Unemployed | 1347 (57.05) | |||
| Have a chronic disease (diagnosed by a doctor) | ||||
| Yes | 1621 (68.66) | 0.093 | 0.761 | Low |
| No | 740 (31.34) | |||
| Marital status | ||||
| Unmarried | 1560 (66.07) | 5.929 | High | |
| Married | 801 (33.93) | |||
| The primary way to get information about the COVID-19 | ||||
| Traditional Media (Television, Radio and Newspapers) | 1361 (57.65) | 0.001 | 0.980 | Low |
| Emerging media (Weibo, WeChat and Interent news) | 1000 (42.35) | |||
| COVID-19 have a large impact on your life | ||||
| Strongly disagree | 620 (26.26) | 7.825 | 0.098 | Low |
| Disagree | 964 (40.83) | |||
| Not sure | 562 (23.80) | |||
| Agree | 124 (5.25) | |||
| Strongly agree | 91 (3.85) | |||
Univariate analysis of the differences in attitudes to consent COVID-19 information has been disclosed timely among the included residents stratified by geographic characteristics
| Variables | Eastern China | Central China | Western China | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N (%) | Evidence Degrees | N (%) | Evidence Degrees | N (%) | Evidence Degrees | |||||||
| Total | 421 (100) | NA | NA | NA | 1470 (100) | NA | NA | NA | 470 (100) | NA | NA | NA |
| Consent COVID-19 information has been released timely. | ||||||||||||
| Yes | 277 (65.80) | NA | NA | NA | 1124 (76.46) | NA | NA | NA | 303 (64.47) | NA | NA | NA |
| No | 144 (34.20) | 346 (23.54) | 167 (35.53) | |||||||||
| Gender | ||||||||||||
| Male | 181 (42.99) | 5.126 | 0.024 | High | 558 (37.96) | 3.937 | 0.047 | High | 203 (43.19) | 0.048 | 0.826 | Low |
| Female | 240 (57.01) | 912 (62.04) | 267 (56.81) | |||||||||
| Age group, y | ||||||||||||
| 18–44 | 323 (76.72) | 18.673 | High | 1175 (79.93) | 18.164 | High | 347 (73.83) | 44.103 | High | |||
| 45–59 | 61 (14.49) | 232 (15.78) | 76 (16.17) | |||||||||
| > 60 | 37 (8.79) | 63 (4.29) | 47 (10.00) | |||||||||
| Highest educational level | ||||||||||||
| Primary school or below | 17 (4.04) | 1.302 | 0.522 | Low | 27 (1.84) | 8.786 | High | 24 (5.11) | 2.555 | 0.279 | Low | |
| Middle school | 24 (5.70) | 123 (8.37) | 39 (8.30) | |||||||||
| College degree or above | 380 (90.26) | 1320 (89.80) | 407 (86.60) | |||||||||
| Place of residence | ||||||||||||
| Urban | 288 (64.41) | 8.912 | 0.003 | High | 754 (51.29) | 15.953 | High | 330 (70.21) | 3.396 | 0.065 | Low | |
| Rural | 133 (31.59) | 716 (48.71) | 140 (29.79) | |||||||||
| Employment status | ||||||||||||
| Employed | 270 (64.13) | 0.006 | 0.940 | Low | 508 (34.56) | 3.078 | 0.079 | Low | 236 (50.21) | 38.391 | High | |
| Unemployed | 151 (35.87) | 962 (65.44) | 234 (49.79) | |||||||||
| Have a chronic disease (diagnosed by a doctor) | ||||||||||||
| Yes | 286 (67.93) | 3.773 | 0.052 | Low | 985 (67.01) | 0.012 | 0.912 | Low | 350 (74.47) | 0.647 | 0.421 | Low |
| No | 135 (32.07) | 485 (32.99) | 120 (25.53) | |||||||||
| Marital status | ||||||||||||
| Unmarried | 222 (52.73) | 1.491 | 0.222 | Low | 1061 (72.18) | 4.981 | High | 277 (58.94) | 24.806 | High | ||
| Married | 199 (47.27) | 409 (27.82) | 193 (41.06) | |||||||||
| The primary way to get information about the COVID-19 | ||||||||||||
| Traditional Media (Television, Radio and Newspapers) | 238 (56.53) | 0.249 | 0.618 | High | 850 (57.82) | 0.377 | 0.539 | High | 273 (58.09) | 0.153 | 0.696 | High |
| Emerging media (Weibo, WeChat and Interent news) | 183 (43.47) | 620 (42.18) | 197 (41.91) | |||||||||
| COVID-19 have a large impact on your life | ||||||||||||
| Strongly disagree | 103 (24.47) | 7.361 | 0.118 | Low | 395 (26.87) | 2.569 | 0.632 | Low | 122 (25.96) | 9.503 | High | |
| Disagree | 181 (42.99) | 596 (40.54) | 187 (39.79) | |||||||||
| Not sure | 105 (24.94) | 342 (23.27) | 155 (24.47) | |||||||||
| Agree | 16 (3.80) | 82 (5.58) | 26 (5.53) | |||||||||
| Strongly agree | 16 (3.80) | 55 (3.74) | 20 (4.26) | |||||||||
Mixed-Effect Logistic Regression Analysis on the Influencing Factors of Residents’ attitudes to consent COVID-19 information has been disclosed timely during the low transmission period of the COVID-19
| Variables | Coefficient | Evidence Degrees | 95% | |||
|---|---|---|---|---|---|---|
| Gender (Ref: Female) | ||||||
| Male | 0.109 | 0.097 | 0.262 | Low | 1.115 | 0.922 ~ 1.350 |
| Age group, y (Ref: 18–44) | ||||||
| 45–59 | − 0.648 | 0.144 | High | 0.523 | 0.394 ~ 0.694 | |
| > 60 | −2.378 | 0.394 | 0.093 | 0.043 ~ 0.201 | ||
| Highest educational level (Ref: Primary school or below) | ||||||
| Middle school | −0.202 | 0.306 | 0.509 | Low | 0.817 | 0.448 ~ 1.489 |
| College degree or above | −0.403 | 0.266 | 0.129 | Low | 0.668 | 0.397 ~ 1.125 |
| Place of residence (Ref: Rural) | ||||||
| Urban | −0.431 | 0.109 | High | 0.650 | 0.525 ~ 0.804 | |
| Region (Ref: Eastern China) | ||||||
| Central China | −0.578 | 0.128 | High | 0.561 | 0.437 ~ 0.720 | |
| Western China | 0.132 | 0.147 | 0.370 | Low | 1.141 | 0.855 ~ 1.523 |
| Employment status (Ref: Unemployed) | ||||||
| Employed | 0.232 | 0.134 | 0.083 | Low | 1.261 | 0.970 ~ 1.639 |
| Have a chronic disease (diagnosed by a doctor) (Ref: No) | ||||||
| Yes | −0.084 | 0.103 | 0.414 | Low | 0.92 | 0.752 ~ 1.124 |
| Marital status (Ref: Unmarried) | ||||||
| Married | 0.12 | 0.135 | 0.375 | Low | 1.128 | 0.865 ~ 1.471 |
| The primary way to get information about the COVID-19 [Ref: Traditional Media (Television, Radio and Newspapers)] | ||||||
| Emerging media (Weibo, WeChat and Interent news) | 0.008 | 0.096 | 0.932 | Low | 1.008 | 0.835 ~ 1.217 |
| COVID-19 have a large impact on your life (Ref: Strongly disagree) | ||||||
| Disagree | −0.164 | 0.117 | 0.162 | Low | 0.849 | 0.674 ~ 1.068 |
| Not sure | −0.125 | 0.133 | 0.347 | Low | 0.883 | 0.681 ~ 1.145 |
| Agree | −0.209 | 0.239 | 0.381 | Low | 0.811 | 0.508 ~ 1.296 |
| Strongly agree | −0.729 | 0.296 | High | 0.482 | 0.270 ~ 0.861 | |
Stepwise Multivariate Logistic Regression Analysis on the Influencing Factors of Residents’ attitudes to consent COVID-19 information has been disclosed timely during the low transmission period of the COVID-19
| Variables | Coefficient | Evidence Degrees | 95% | |||
|---|---|---|---|---|---|---|
| Age group, y (Ref: 18–44) | ||||||
| > 60 | −2.336 | 0.75 | 0.002 | High | 0.097 | 0.022 ~ 0.420 |
| Place of residence (Ref: Rural) | ||||||
| Urban | −0.698 | 0.259 | 0.007 | High | 0.498 | 0.299 ~ 0.828 |
| Gender (Ref: Female) | ||||||
| Male | 0.334 | 0.129 | 0.009 | High | 1.396 | 1.085 ~ 1.797 |
| Age group, y (Ref: 18–44) | ||||||
| 45–59 | −0.416 | 0.185 | 0.025 | High | 0.660 | 0.459 ~ 0.948 |
| > 60 | −1.826 | 0.600 | 0.002 | High | 0.161 | 0.050 ~ 0.522 |
| Highest educational level (Ref: Primary school or below) | ||||||
| College degree or above | −0.932 | 0.41 | 0.023 | High | 0.394 | 0.176 ~ 0.880 |
| Place of residence (Ref: Rural) | ||||||
| Urban | −0.431 | 0.14 | 0.002 | High | 0.65 | 0.494 ~ 0.856 |
| Age group, y (Ref: 18–44) | ||||||
| 45–59 | −1.155 | 0.348 | 0.001 | High | 0.315 | 0.159 ~ 0.623 |
| > 60 | −2.722 | 0.749 | < 0.001 | High | 0.066 | 0.015 ~ 0.286 |
| Employment status (Ref: Unemployed) | ||||||
| Employed | 1.014 | 0.278 | < 0.001 | High | 2.757 | 1.598 ~ 4.756 |
| COVID-19 have a large impact on your life (Ref: Strongly disagree) | ||||||
| Strongly agree | −2.157 | 1.068 | 0.043 | High | 0.116 | 0.014 ~ 0.939 |