| Literature DB >> 35586941 |
Abstract
AIM: The study aims to investigate the effect of the level of fear experienced by individuals during the COVID-19 pandemic on their application to health institutions.Entities:
Keywords: COVID-19; fear; healthcare institutions; new coronavirus
Year: 2022 PMID: 35586941 PMCID: PMC9121142 DOI: 10.1177/00302228221103105
Source DB: PubMed Journal: Omega (Westport) ISSN: 0030-2228
Distribution of Sociodemographic Characteristics of Individuals (n = 577).
| Average Age (year)
| ||
|---|---|---|
| Characteristics | % | |
| Gender | ||
| Female | 449 | 77.8 |
| Male | 128 | 22.2 |
| Educational status | ||
| Primary school | 9 | 1.6 |
| High school | 75 | 13.0 |
| University | 381 | 66.0 |
| Postgraduate | 112 | 19.4 |
| Marital status | ||
| Married | 260 | 45.1 |
| Single | 317 | 54.9 |
| Having a child | ||
| Yes | 237 | 41.1 |
| No | 340 | 58.9 |
| Employment status | ||
| Employed | 360 | 62.4 |
| Unemployed | 217 | 37.6 |
| Profession | ||
| Civil servant | 306 | 53.0 |
| Worker | 18 | 3.1 |
| Housewife | 37 | 6.4 |
| Retired | 21 | 3.6 |
| Private sector | 39 | 6.8 |
| Student | 156 | 27.0 |
| Social security presence | ||
| Yes | 496 | 86.0 |
| No | 81 | 14.0 |
| Income level | ||
| Low | 52 | 9.0 |
| Moderate | 489 | 84.7 |
| High | 36 | 6.2 |
| Family type | ||
| Nuclear family | 488 | 84.6 |
| Large family | 66 | 11.4 |
| Broken family | 23 | 4.0 |
| People they live with | ||
| Family | 479 | 83.0 |
| Friend | 18 | 3.1 |
| Alone | 80 | 13.9 |
| Place of residence | ||
| City | 424 | 73.5 |
| District | 125 | 21.7 |
| Village | 28 | 4.9 |
Distribution of Characteristics of Individuals Related to Coronavirus Disease.
| Characteristics | % | |
|---|---|---|
| Sleep situations of at least 7 hours a day | ||
| Sleeping | 389 | 67.4 |
| Not sleeping | 188 | 32.6 |
| Smoking status | ||
| Smoker | 114 | 19.8 |
| Non smoker | 463 | 80.2 |
| Presence of chronic disease | ||
| Yes | 84 | 14.6 |
| No | 493 | 85.4 |
| Presence of psychological disease | ||
| Yes | 32 | 5.5 |
| No | 545 | 94.5 |
| The situation of witnessing an individual diagnosed with coronavirus in the neighborhood | ||
| Witness | 147 | 25.5 |
| Unwitnessed | 430 | 74.5 |
| Constantly following the agenda regarding the coronavirus | ||
| Followers | 470 | 81.5 |
| Unfollowers | 107 | 18.5 |
| Application status to health institutions during the coronavirus process | ||
| Applicant | 124 | 21.5 |
| Non-applicant | 453 | 78.5 |
| Health institutions preferences of individuals in the coronavirus process | ||
| State hospitals | 246 | 42.6 |
| Faculty hospitals | 76 | 13.2 |
| Private hospitals | 153 | 26.5 |
| Family health centers | 102 | 17.7 |
| Cases of postponing application to health institutions in emergency situations due to the fear of contagion of the coronavirus | ||
| Postponed | 342 | 59.3 |
| Not postponed | 235 | 40.7 |
Distribution of the total mean scores of the COVID-19 Fear Scale according to the sociodemographic characteristics of the individuals.
| Characteristics | COVID-19 Fear Scale Total Score Median (Min-Max) |
|---|---|
| Gender | |
| Female | 18 (7–34) |
| Male | 13 (7–28) |
| Statistics | |
| Educational status | |
| Primary school | 19 (11–28) |
| High school | 16 (7–34) |
| University | 17 (7–34) |
| Postgraduate | 16 (7–33) |
| Statistics | KW = 2.555; |
| Marital status | |
| Married | 16 (7–34) |
| Single | 16 (7–32) |
| Statistics | U = 42237.500;
|
| Having a child | |
| Yes | 16.5 (7–34) |
| No | 16 (7–34) |
| Statistics | U = 39692.500; |
| Employment status | |
| Employed | 16 (7–34) |
| Unemployed | 17 (7–31) |
| Statistics | U = 40678.000;
|
| Social security presence | |
| Yes | 16 (7–34) |
| No | 16 (7–28) |
| Statistics | U = 19409.000;
|
| Income level | |
| Low | 14 (7–31) |
| Moderate | 17 (7–34) |
| High | 17.5 (7–28) |
| Statistics | |
| Family type | |
| Nuclear family | 17 (7–34) |
| Large family | 16 (7–28) |
| Broken family | 15 (7–28) |
| Statistics | KW = 0.164;
|
| People they live with | |
| Family | 17 (7–34) |
| Friend | 15.5 (7–31) |
| Alone | 14.5 (7–28) |
| Statistics | |
| Place of residence | |
| City | 16 (7–34) |
| District | 16 (7–28) |
| Village | 17 (8–28) |
| Statistics | KW = 0.328;
|
Distribution of the Total Mean Scores of the COVID-19 Fear Scale According to the Characteristics of Individuals Regarding the Coronavirus Disease.
| Characteristics | COVID-19 Fear Scale Total Score Median (Min-Max) |
|---|---|
| Sleep situations of at least 7 hours a day | |
| Sleeping | 16 (7–34) |
| Not sleeping | 17 (7–34) |
| Statistics | |
| Smoking status | |
| Smoker | 15 (7–34) |
| Non smoker | 17 (7–33) |
| Statistics | U = 28475.500; |
| Presence of chronic disease | |
| Yes | 19 (7–33) |
| No | 16 (7–34) |
| Statistics | U = 18156.500;
|
| Presence of psychological disease | |
| Yes | 19.5 (7–34) |
| No | 16 (7–34) |
| Statistics | |
| The situation of witnessing an individual diagnosed with coronavirus in the neighborhood | |
| Witness | 17 (7–33) |
| Unwitnessed | 16 (7–34) |
| Statistics | U = 29799.000; |
| Constantly following the agenda regarding the coronavirus | |
| Followers | 17 (7–34) |
| Unfollowers | 15 (7–28) |
| Statistics | U = 22178.000; |
| Application status to health institutions during the coronavirus process | |
| Applicant | 18.5 (7–32) |
| Non-applicant | 16 (7–34) |
| Statistics | |
| Health institutions preferences of individuals in the coronavirus process | |
| State hospitals | 17 (7–34) |
| Faculty hospitals | 17 (7–31) |
| Private hospitals | 16 (7–34) |
| Family health centers | 16.5 (7–31) |
| Statistics | KW = 0.537;
|
| Cases of postponing application to health institutions in emergency situations due to the fear of contagion of the coronavirus | |
| Postponed | 18 (7–34) |
| Not postponed | 15 (7–34) |
| Statistics | |