| Literature DB >> 33406913 |
Carmina Castellano-Tejedor1,2,3, María Torres-Serrano2, Andrés Cencerrado1,4.
Abstract
The transformation that COVID-19 has brought upon the world is unparalleled. The impact on mental health is equally unprecedented and yet unexplored in depth. An online-based survey was administered to 413 community-based adults during COVID-19 confinement to explore psychological impact and identify high risk profiles. Young females concerned about the future, expressing high COVID-related distress, already following psychological therapy and suffering from pre-existing chronic conditions, were those at highest risk of psychological impact due to the COVID-19 situation. Findings could be employed to design tailored psychological interventions in the early stages of the outbreak to avoid the onset/exacerbation of psychopathology.Entities:
Keywords: COVID-19; cross-sectional survey; non-pharmaceutical interventions; online survey; pandemic; population mental health; psychological impact; quarantine
Mesh:
Year: 2021 PMID: 33406913 PMCID: PMC8685748 DOI: 10.1177/1359105320985580
Source DB: PubMed Journal: J Health Psychol ISSN: 1359-1053
Participants’ demographics (N = 413).
| Variables | |
|---|---|
| Gender | |
| Male | 121 (29.30%) |
| Female | 291 (70.50%) |
| Prefer not to label | 1 (0.20%) |
| Country of origin | |
| Spain | 410 (99.27%) |
| Other | 3 (0.73%) |
| Cohabiting | |
| Yes | 386 (93.46%) |
| No | 27 (6.54%) |
| Age | |
| 18–35 | 192 (46.49%) |
| 36–59 | 183 (44.31%) |
| >60 | 38 (9.20%) |
| Occupation | |
| Healthcare professionals | 98 (23.73%) |
| Non-healthcare professionals | 315 (76.27%) |
Figure 1.Main worries in different age groups.
Worries expressed by each gender.
| Main worries (affirmative responses are presented) | Times reported ( | Women | Men | ||
|---|---|---|---|---|---|
|
|
| ||||
| My health / Getting infected | 104 (25.18%) | 69 (23.71%) | 35 (28.93%) | 1.231 | 0.267 |
| Be a carrier and infect others | 145 (35.11%) | 103 (35.40%) | 42 (34.71%) | 0.018 | 0.895 |
| Health status of loved ones | 303 (73.36%) | 215 (73.88%) | 88 (72.73%) | 0.059 | 0.809 |
| Work concerns | 75 (18.16%) | 56 (19.24%) | 19 (15.70%) | 0.720 | 0.396 |
| Own economy | 79 (19.13%) | 55 (18.90%) | 24 (19.83%) | 0.048 | 0.826 |
| Economy of society | 133 (32.20%) | 95 (32.65%) | 38 (31.40%) | 0.060 | 0.806 |
| Social revolts | 15 (3.63%) | 11 (3.78%) | 4 (3.31%) | 0.055 | 1.000 |
| Not recovering previous normality (social & leisure life) | 120 (29.05%) | 90 (30.93%) | 30 (24.79%) | 1.558 | 0.212 |
| Uncertainty about the future | 166 (40.19%) | 127 (43.64%) | 39 (32.23%) | 4.626 | 0.031 |
| New coronavirus outbreaks | 123 (29.78%) | 88 (30.24%) | 35 (28.93%) | 0.071 | 0.791 |
| Other worries (not specified in the list) | 24 (5.81%) | 17 (5.84%) | 7 (5.79%) | 0.001 | 0.982 |
| No worries | 4 (0.97%) | 2 (0.69%) | 2 (1.65%) | 0.892 | 0.584 |
Statistical significant differences between genders according to the Chi squared test.
Number of times (%) reporting this concern on the survey.
Number of times (%) reporting this concern in the gender sub-sample.
Figure 2.COVID-19 related symptoms experienced in different age groups.