| Literature DB >> 33973931 |
Tahira M Probst1, Hyun Jung Lee, Andrea Bazzoli, Melissa R Jenkins, Erica L Bettac.
Abstract
OBJECTIVE: To test the role of workplace coronavirus disease (COVID-19) climate in shaping employee attitudes toward the CDC prevention guidelines and subsequent levels of work and non-work sickness presenteeism.Entities:
Mesh:
Year: 2021 PMID: 33973931 PMCID: PMC8327763 DOI: 10.1097/JOM.0000000000002240
Source DB: PubMed Journal: J Occup Environ Med ISSN: 1076-2752 Impact factor: 2.306
FIGURE 1Proposed model.
Participants Characteristics
| Variable | Percentage | n |
| Gender | ||
| Male | 59% | 178 |
| Female | 41% | 125 |
| Other | <1% | 1 |
| Age | ||
| Younger than 25 | 4% | 12 |
| 26–35 years old | 34% | 104 |
| 36–45 years old | 35% | 106 |
| 46–55 years old | 16% | 48 |
| Older than 56 | 10% | 31 |
| Missing | 1% | 3 |
| Race | ||
| African American or Black | 7% | 22 |
| Asian or Pacific Islander | 10% | 30 |
| Anglo/White | 76% | 231 |
| Hispanic or Latinx | 6% | 17 |
| Other Minorities | 1% | 4 |
| Work status | ||
| On-site | 50% | 151 |
| Work from home | 50% | 153 |
| Essential worker status | ||
| Nonessential worker | 65% | 197 |
| Essential worker | 30% | 92 |
| Does not know/missing | 5% | 15 |
| Industry | ||
| Administration and support services | 7% | 20 |
| Educational services | 10% | 31 |
| Finance | 10% | 30 |
| Healthcare or social assistance | 10% | 30 |
| Manufacturing | 7% | 21 |
| Professional, scientific, or technical services | 19% | 58 |
| Retail | 10% | 34 |
| Other | 28% | 85 |
Correlations Among Study Variables
| M | SD | 1 | 2 | 3 | 4 | |
| 1. Workplace COVID-19 climate | 5.38 | 1.05 | 0.39∗ | −0.05 | −0.18‡ | |
| 2. COVID-19 attitudes | 6.14 | 0.99 | .35∗ | −0.20‡ | −0.24† | |
| 3. Non-work sickness presenteeism | 1.26 | 0.71 | −0.01 | −0.22∗ | 0.65∗ | |
| 4. Work presenteeism | 1.19 | 0.58 | – | – | – |
Correlations below the diagonal are based on the full sample, whereas correlations above the diagonal represent only on-site workers (N = 150). Means and SDs are based on the full sample except work presenteeism, which is derived from the on-site workers only.
P < .001.
P < .01.
P < .05.
Parameter Estimates for Models Predicting Sickness Presenteeism
| Full Sample (N = 304) | On-site Workers (N = 151) | |||||||
| 95% CI | 95% CI | |||||||
| Variables | Parameter Estimate | SE | LL | UL | Parameter Estimate | SE | LL | UL |
| Outcome: COVID-19 attitudes | ||||||||
| Workplace COVID-19 climate | 0.32∗ | 0.05 | 0.22 | 0.42 | 0.38∗ | 0.05 | 0.23 | 0.52 |
| 0.12 | 0.16 | |||||||
| Outcome: Non-work presenteeism | ||||||||
| COVID-19 attitudes | −0.15∗ | 0.03 | −0.22 | −0.08 | ||||
| Workplace COVID-19 climate | 0.04 | 0.03 | −0.02 | 0.11 | ||||
| 0.06 | ||||||||
| Indirect effect | −0.05∗ | 0.01 | −0.07 | −0.02 | ||||
| Outcome: Work presenteeism | ||||||||
| COVID-19 attitudes | −0.13‡ | 0.06 | −0.24 | −0.02 | ||||
| Workplace COVID-19 climate | −0.06 | 0.05 | −0.17 | 0.07 | ||||
| 0.07 | ||||||||
| Indirect effect | −0.06‡ | 0.02 | −0.10 | −0.004 | ||||
95% confidence intervals refer to the normal theory confidence intervals.
P < 0.001.
†P < 0.01.
P < 0.05.