| Literature DB >> 34084837 |
Maryam Jahanbakhsh1, Hossein Bagherian1, Nahid Tavakoli1, Asghar Ehteshami1, Mohammad Sattari1, Sakineh Saghaeian Nejad Isfahani1, Majid Jangi1.
Abstract
BACKGROUND: The widespread occurrence of COVID-19 has caused people to seek information from various sources such as virtual social networks, which can positively or negatively affect one's mental status. In this article, we present the role of virtual social networks in shaping people's attitudes toward COVID-19 in Iran.Entities:
Keywords: Attitude; COVID-19; virtual social network
Year: 2021 PMID: 34084837 PMCID: PMC8150059 DOI: 10.4103/jehp.jehp_642_20
Source DB: PubMed Journal: J Educ Health Promot ISSN: 2277-9531
Demographic data of participants
| Frequency (%) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Age group (years) | Marital status | Sex | |||||||
| ≤25 | 26-35 | 36-45 | 46-55 | ≥56 | Married | Single | Others | Female | Male |
| 145 (14.35) | 349 (34.55) | 321 (31.78) | 129 (12.77) | 66 (6.53) | 716 (70.9) | 281 (27.8) | 13 (1.28) | 578 (57.2) | 432 (42.8) |
Figure 1Participants’ occupation and education degree
Psychological effects of virtual social networks on participants regarding COVID-19*
| Effect | Inducing anxiety | Confusion | Excessive fear | Inducing relaxation | Ineffective |
|---|---|---|---|---|---|
| Frequency (%) | 469 (46.43) | 332 (32.87) | 192 (19) | 174 (17.22) | 162 (16.03) |
*There was more than one choice available
Most used areas of virtual social networks regarding COVID-19
| Most used areas | Prevention and treatment learning | Statistics of incidence and death in Iran | COVID-19 municipal news | Statistics of incidence and death in other countries | Search for health-related products |
|---|---|---|---|---|---|
| Frequency (%) | 700 (69.3) | 569 (56.33) | 452 (44.75) | 199 (19.7) | 83 (8.21) |
Mean differences test between the questionnaire’s dimensions and “marital status,” “age group” and “education degree” with the Kruskal-Wallis test
| Hypothesis | Kruskal-Wallis H-test | df | Asymptotic significant |
|---|---|---|---|
| Equality/difference of mean awareness in different marital statuses | 0.334 | 2 | 0.846 |
| Equality/difference of mean “behavior intention” in different marital statuses | 0.256 | 2 | 0.880 |
| Equality/difference of mean “attitude” and “trust” in different marital statuses | 3.250 | 2 | 0.197 |
| Equality/difference of mean awareness in different age group | 4.165 | 7 | 0.761 |
| Equality/difference of mean behavior intention in different age group | 4.662 | 7 | 0.701 |
| Equality/difference of mean attitude and trust in different age group | 7.617 | 7 | 0.368 |
| Equality/difference of mean awareness in different education degree | 5.537 | 5 | 0.354 |
| Equality/difference of mean behavior intention in different education degree | 5.144 | 5 | 0.399 |
| Equality/difference of mean attitude and trust in different education degree | 2.604 | 5 | 0.761 |
Mean differences test between the questionnaire’s dimensions and “sex” with the Mann-Whitney test
| Hypothesis | Mann-Whitney U-test | Wilcoxon | Asymptotic significant | |
|---|---|---|---|---|
| Equality/difference of mean awareness in different sex groups | 124,811.000 | 218,339.000 | -0.058 | 0.954 |
| Equality/difference of mean behavior intention in different sex groups | 122,787.500 | 216,315.500 | -0.527 | 0.598 |
| Equality/difference of mean attitude and trust in different sex groups | 120,491.000 | 214,019.000 | -1.045 | 0.296 |