| Literature DB >> 33936931 |
Sigrid Stjernswärd1, Anna-Karin Ivert2, Stinne Glasdam3.
Abstract
AIM: Extensive COVID-19 information can generate information overload and confusion. Denmark and Sweden adopted different COVID-19 management strategies. AIM: This study aimed to compare search strategies, perceptions and effects of COVID-19 information, in general and specifically in social media, in residents in Denmark and Sweden. SUBJECT AND METHODS: Quantitative data from a sample of respondents (n = 616) from Denmark and Sweden on an international web-based survey was analysed using descriptive and analytical statistics.Entities:
Keywords: COVID-19 information; Denmark; Psychosocial effects; Social media; Survey; Sweden
Year: 2021 PMID: 33936931 PMCID: PMC8071611 DOI: 10.1007/s10389-021-01539-5
Source DB: PubMed Journal: Z Gesundh Wiss ISSN: 0943-1853
Distribution of sociodemographic variables by country of residence (percentages)
| Total sample ( | Sweden (n = 304) | Denmark (n = 312) | |
|---|---|---|---|
| % | % | % | |
| Gender | |||
| Females | 75.4 | 74.2 | 76.6 |
| Males | 23.8 | 24.2 | 23.4 |
| Age | |||
| 18–29 years | 13.1 | 6.9 | 19.2 |
| 30–39 years | 14.9 | 19.1 | 10.9 |
| 40–49 years | 22.6 | 27.0 | 18.3 |
| 50–59 years | 30.8 | 31.6 | 30.1 |
| 60–69 years | 12.0 | 11.8 | 12.2 |
| 70 years or older | 6.5 | 3.6 | 9.3 |
| Educational level | |||
| Upper secondary school or less | 15.0 | 11.1 | 18.9 |
| Shorter post-secondary education | 13.6 | 11.4 | 15.6 |
| University education at bachelor level or above | 71.4 | 77.5 | 65.5 |
| Employment status pre coronavirus | |||
| (Self) Employed | 72.7 | 84.0 | 61.5 |
| Unemployed | 2.1 | 0.7 | 3.5 |
| Homemaker | 0.8 | 0.7 | 1.0 |
| Student | 9.5 | 6.5 | 12.5 |
| Retired | 11.2 | 6.2 | 16.0 |
| Unfit for work | 1.6 | 0.7 | 2.6 |
| Other | 1.9 | 1.0 | 2.9 |
Logistic regression predicting main source of information. Odds ratios (OR) with 95% confidence intervals (CI) in brackets. N = 616 (Sweden n = 304; Denmark n = 312)
| TV | Radio | Employer | Newspapers | Social media | Friends | Family | Colleagues/classmates | Other sources | |
|---|---|---|---|---|---|---|---|---|---|
| OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | |
| Sweden (ref) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Denmark | 2.64 (1.73–4.03) | 1.49 (1.06–2.06) | 1.18 (0.84–1.65) | 0.70 (0.50–0.98) | 2.08 (1.49–2.90) | 2.32 (1.59–3.39) | 2.16 (1.52–3.07) | 1.30 (0.89–1.91) | 0.52 (0.34–0-79) |
Logistic regression predicting reliable sources of information. Odds ratios (OR) with 95% confidence intervals (CI) in brackets. N = 611 (Sweden n = 302; Denmark n = 309)
| TV | Radio | Employer | Newspapers | Social media | Friends | Family | Colleagues/ | None of the above | I do not care | I do not know | Other sources | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | OR (CI) | |
| Sweden (ref) | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Denmark | 1.50 (1.03–2.19) | 1.01 (0.73–1.38) | 0.74 (0.52–1.06) | 0.71 (0.52–0.98) | 1.70 (1.09–2.66) | 1.63 (0.80–3.32) | 1.72 (0.90–3.27) | 0.98 (0.53–1.84) | 1.71 (0.67–4.42) | – | 1.80 (0.59–5.42) | 0.41 (0.27–0.62) |
Ordinary least square regression of the association between country of residence and reported effects of information about COVID-19 in social media
| Negative emotions (min: 0, max: 16) | Positive effect (min: 0, max: 10) | Changed social behaviour (min: 0, max:12) | Attention to physical health (min: 0, max:4) | |||||
|---|---|---|---|---|---|---|---|---|
| Country of residence (Sweden = 0, Denmark =1). | −.231 | .382 | .789*** | .200 | .077 | .331 | −.281* | .121 |
* = p < .05, ** = p < .01, *** = p < .001