| Literature DB >> 34192604 |
I Buneviciene1, R Bunevicius2, S Bagdonas2, A Bunevicius3.
Abstract
OBJECTIVES: COVID-19-related news is important for adherence to public health measures. We examined predictors of interest and avoidance of COVID-19 news in Lithuania. STUDYEntities:
Keywords: Anxiety; Avoidance; COVID-19; Depression; Fear; News; Stress
Mesh:
Year: 2021 PMID: 34192604 PMCID: PMC8164337 DOI: 10.1016/j.puhe.2021.05.024
Source DB: PubMed Journal: Public Health ISSN: 0033-3506 Impact factor: 2.427
Demographic and clinical characteristics of the study participants.
| Characteristics | % | |
|---|---|---|
| Age | ||
| 18–25 years | 379 | 36.7 |
| 26–40 years | 270 | 26.1 |
| 41–60 years | 325 | 31.4 |
| ≥61 years | 60 | 5.8 |
| Gender | ||
| Men | 176 | 17.0 |
| Women | 858 | 83.0 |
| Living area | ||
| Urban | 756 | 73.1 |
| Rural | 278 | 26.9 |
| Perceived health status | ||
| Very good | 152 | 14.7 |
| Good | 532 | 51.5 |
| Fair | 303 | 29.3 |
| Bad | 41 | 4.0 |
| Very bad | 6 | 0.6 |
| Pre-existing conditions | ||
| None | 659 | 63.7 |
| Pulmonary | 120 | 11.6 |
| Obesity | 23 | 2.2 |
| Diabetes | 83 | 8.0 |
| Mental health | 8 | 0.8 |
| Other | 141 | 13.7 |
Interest in news about the COVID-19 pandemic.
| Interest level | % | |
|---|---|---|
| Losing interest in COVID-19 | ||
| Completely disagree | 66 | 6.4 |
| Disagree | 227 | 22.0 |
| Neither agree nor disagree | 355 | 34.3 |
| Agree | 254 | 24.6 |
| Completely agree | 132 | 12.8 |
| Started avoiding news about COVID-19 | ||
| Completely disagree | 105 | 10.2 |
| Disagree | 276 | 26.7 |
| Neither agree nor disagree | 319 | 30.9 |
| Agree | 224 | 21.7 |
| Completely agree | 110 | 10.6 |
| Stopped following news about COVID-19 | ||
| Completely disagree | 155 | 15.0 |
| Disagree | 342 | 33.1 |
| Neither agree nor disagree | 265 | 25.6 |
| Agree | 171 | 16.5 |
| Completely agree | 101 | 9.8 |
Predictors of changing interest in COVID-19–related news: multivariate stepwise regression.
| Predictor | Losing interest in COVID-19 news (OR [95% CI]) | Started to avoid news about COVID-19 (OR [95% CI]) | Stopped following news about COVID-19 (OR [95% CI]) |
|---|---|---|---|
| Gender | 0.366 | 0.958 | 0.433 |
| Age | |||
| Living area | 0.907 | 0.287 | 0.628 |
| Depression | 0.307 | 0.662 | 0.586 |
| Anxiety | 0.385 | 0.856 | 0.596 |
| Post-traumatic stress | |||
| Fear of COVID-19 | |||
| Poor perceived health | 0.284 | 0.862 | 0.941 |
| Pre-existing conditions | 0.844 | 0.519 | 0.121 |
| COVID-19 information channels | |||
| Friends and relatives | 0.121 | ||
| Healthcare professionals | |||
| Government institutions | 0.200 | 0.183 | 0.386 |
| Politicians | 0.901 | 0.737 | 0.292 |
| TV | 0.987 | 0.955 | 0.171 |
| Radio | 0.662 | 0.560 | 0.129 |
| Traditional press | 0.226 | 0.2755 | 0.696 |
| Internet news portals | 0.228 | ||
| Social networks | 0.699 | 0.429 | 0.665 |
| International organisations | 0.121 | 0.530 | 0.175 |
| Foreign press | 0.901 | 0.292 | 0.823 |
| Influencers | 0.987 | 0.996 | 0.286 |
Bold indicates significant association; 95% CI values and P-values are provided for these predictors.
CI, confidence interval; OR, odds ratio.