Table 2.
Description of the samples from the included studies (N = 56)
| Study ID | Population | Gender | Age | Type of occupation |
|---|---|---|---|---|
| #361 | Corporate call center employees in Ohio | 83.8% F | 40 (M) | Office |
| #1378 | Essential workers or unemployed due to COVID-19 | 52.2% F | 31.9 (M) | Mixed |
| #799 | Office-based employees from two Fortune 500 companies | 59.2% F | 35.5 (M) | Office |
| #337 | Employees of care homes for people living with dementia | N.A | N.A | Healthcare |
| #3641 | Healthcare workers | 81.0% F | 43.6% between 36 and 45 | Healthcare |
| #2990 | Convenience sample of military providers—Nurses | 100.0% F | 35 and older | Healthcare |
| #1073 | University employees participating in the Desire2Move program | 80.0% F | 42.7 (M) | Education |
| #2986 | Substance abuse counselor | 100.0% F | 55 | Healthcare |
| #3556 | Texas public school principals | 69.2% F | 44.9% between 45 and 54 | Education |
| #1428 | Currently employed Australian residents | 67.9% F | 38.96 (M) | Mixed |
| #490 | Full-time working professionals | 60.0% F | 100% between 19 and 58 | Mixed |
| #1346 | Employed Australians in male-dominated industries | 25.8% F | 40.3 (M) | Mixed |
| #460 | Practicing psychologists | 98.8% F | 36.2 (M) | Healthcare |
| #3073 | Staff in animal shelters | 90.8% F | 36% between 31 and 40 | Other |
| #1037 | Healthcare workers providing care to Covid-19 patients | 83.2% F | 41.4 (M) | Healthcare |
| #3578 | Nurses from the Women and Infants Department | 100.0% F | 100% older than 21 | Healthcare |
| #2871 | Oncology nurses from oncology units | N.A | 35.4 (M) | Healthcare |
| #3761 | Early childhood professionals | 96.0% F | N.A | Education |
| #812 | Direct care workers, managerial/administrative roles | 85.7% F | 43.2 (M) | Healthcare |
| #3943 | Hospice and Palliative care/oncology professionals | N.A | N.A | Healthcare |
| #3753 | Professional caregivers of elderly patients | 65.0% F | 33.0 (M) | Healthcare |
| #1234 | First responders | 42.9% F | 43.8 (M) | First responders/police |
| #763 | Firefighters | 97.0% M | 43.7 (M) | First responders/police |
| #842 | Primary Rescue and Hazmat Stations Firefighters | 93–98% M | 43.9–41.4 (M) | First responders/police |
| #3662 | Healthcare employees from an ED department | 100.0% F | 55% 40 and older | Healthcare |
| #517 | Workers from the Academic Health Center* | 85.0% F | N.A | Healthcare |
| #880 | 911 telecommunicators | N.A | N.A | First responders/police |
| #2849 | Healthcare workers | 80.8% F | 41% between 22 and 36 | Healthcare |
| #2967 | Psychotherapists* | 94.0% F | 29 (Med) | Healthcare |
| #3289 | Registered nurses working in an designated cancer center | 100.0% F | 44.5 (Med) | Healthcare |
| #2286 | Active mental health care professionals* | N.A | N.A | Healthcare |
| #1484 | Emergency department staff | N.A | 100% between 18 and 75 | Healthcare |
| #2026 | Health authority employees | 89.3% F | 43.8 (M) | Healthcare |
| #730 | Palliative or hospice care employees | 90.9% F | 100% between 36 and 80 | Healthcare |
| #871 | Emergency medical dispatchers | 81.9% F | 33.6% between 26 and 35 | First responders/police |
| #1437 | Medical Staff | N.A | N.A | Healthcare |
| #1361 | Employees | 62.1% F | 35.7 (M) | Mixed |
| #1214 | Working executives | 50.5% F | N.A | Office |
| #2492 | Workers from various sectors | 71.1% F | 41.4 (M) | Mixed |
| #3747 | Workers from various sectors | 67.5% F | 41.1 (M) | Mixed |
| #1097 | Adults employed fulltime at a Fortune 100 company | 73.5% F | 63.8% between 40 and 59 | Office |
| #1305 | Chaplains working in hospices for older adults | 60.4–64.4% M | 42.4–44.2 (M) | Other |
| #520 | Health professionals* | 84.0% F | N.A | Healthcare |
| #331 | Radiologic technologists | 40.5% M | 37.6 (M) | Healthcare |
| #1002 | Physicians | 73.5% F | 45 (M) | Healthcare |
| #3666 | Advanced practice registered nurses | 100.0% F | 100% between 39 and 56 | Healthcare |
| #3125 | Employees from offices of LinkedIn Corp | 55.0% F | 33.2 (M) | Office |
| #4452 | Nurses from an inpatient palliative care practice | 91.7% F | 58.3% between 30 and 49 | Healthcare |
| #3210 | Police recruits, active-duty officers, detectives, and sergeants | 90.0% M | 31.8 (M) | First responders/police |
| #692 | Nurse midwives | 100.0% F | 40 (M) | Healthcare |
| #3229 | Psychiatric technicians | 75.4% F | 71% between 25 and 44 | Healthcare |
| #3096 | Customer service employees from Health Care Service Corporation | 88.0% F | N.A | Office |
| #974 | Employees with knowledge-intensive jobs and high-stress occupations | N.A | N.A | Mixed |
| #4457 | Healthcare system employees | 87.0–90.5% F | 44.1 (M) | Healthcare |
| #4462 | Legal professionals/Lawyers |
(1)82.2% F (2)65.6% F |
(1)46(M) (2)48.6(M) |
Office |
| #4463 | Law enforcement officers | 86.0% M | 36 (M) | First responders/police |
*Students in the sample. In the Gender column, M is used for Male and F for Female. In the age column, M is used for Mean and Med is used for Median. N.A. = Not available from the publication.