| Literature DB >> 33970270 |
Silvia Gianola1, Silvia Bargeri1, Isabella Campanini2, Davide Corbetta3,4, Simone Gambazza5,6, Tiziano Innocenti7, Roberto Meroni8, Greta Castellini1, Andrea Turolla9.
Abstract
OBJECTIVES: The purpose of this study was to explore the prevalence, personal- and work-related exposures, and signs and symptoms among physical therapists during the first wave of coronavirus disease 2019 (COVID-19) in Italy.Entities:
Keywords: COVID–19; Coronavirus; Coronavirus Infections; Disease Outbreaks; Pandemics; Physical Therapy; Physiotherapy; Prevention & Control; SARS-CoV-2; Surveys and Questionnaires; Transmission
Year: 2021 PMID: 33970270 PMCID: PMC8136025 DOI: 10.1093/ptj/pzab123
Source DB: PubMed Journal: Phys Ther ISSN: 0031-9023
Figure 1Flow diagram of the study. *, Some sections included conditional branching logic items.
Characteristics of Overall Responders
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|---|---|---|
| Demographic characteristics | ||
| Overall | 14,607 | 100 |
| Sex | ||
| Men | 5405 | 37 |
| Women | 9202 | 63 |
| Age group (y) | ||
| 20–29 | 2737 | 19 |
| 30–39 | 4301 | 29 |
| 40–49 | 3493 | 24 |
| 50–59 | 3222 | 22 |
| 60–69 | 803 | 6 |
| >70 | 51 | 0 |
| Smoking status | ||
| >5 cigarettes/d | 1294 | 9 |
| <5 cigarettes/d | 1167 | 8 |
| Ex | 2754 | 19 |
| Never | 8906 | 61 |
| No reply | 486 | 3 |
| BMI (kg/m2) | ||
| <18.5 | 440 | 3 |
| 18.5–24.9 | 9760 | 67 |
| 25–29.9 | 3156 | 22 |
| 30–39.9 | 649 | 4 |
| >40 | 26 | 0 |
| Unavailable | 576 | 4 |
| Physical activity (min/wk) | ||
| ≥150 | 6211 | 43 |
| <150 | 5208 | 36 |
| 0 | 2702 | 19 |
| No reply | 486 | 3 |
| Flu vaccination (last 12 mo) | ||
| Yes | 1992 | 14 |
| No | 12,129 | 83 |
| No reply | 486 | 3 |
| Health status | ||
| Pulmonary diseases | 624 | 4 |
| Cardiac diseases | 221 | 2 |
| Hypertension | 1000 | 7 |
| Kidney diseases | 121 | 1 |
| Immune system disorders | 1798 | 12 |
| Rheumatic diseases | 345 | 2 |
| Oncology diseases | 286 | 2 |
| Metabolic diseases | 345 | 2 |
| Depression/anxiety | 414 | 3 |
| Pregnancy | 273 | 2 |
| Other (surgery…) | 819 | 6 |
| Nothing | 9791 | 67 |
| Occupational characteristics | ||
| Overall | 13,748 | 100 |
| Professional field | ||
| Cardio-respiratory | 363 | 3 |
| Geriatric | 1654 | 12 |
| Neurologic | 1311 | 10 |
| Oncologic | 82 | 1 |
| Orthopedic-musculoskeletal | 4971 | 36 |
| Pediatric | 389 | 3 |
| Urogynecologic | 48 | 0 |
| Mixed | 4930 | 36 |
| Working facilities | ||
| Residential care home | 1594 | 12 |
| Private/public rehabilitation clinics | 3041 | 22 |
| More than 1 (eg, residential care home + private setting) | 1636 | 12 |
| Private/public hospital | 2933 | 21 |
| Private setting | 3149 | 23 |
| Home | 1395 | 10 |
| Current employment status | ||
| On duty at the workplace | 9215 | 67 |
| On duty (tele-work) | 459 | 3 |
| Not on duty (on vacation, leave, parental leave, layoff, sick leave) | 1694 | 12 |
| Not on duty (professional activity suspended by law or suspended due to COVID-19 outbreak) | 1994 | 15 |
| Not on duty (diagnosis of COVID-19) | 280 | 2 |
| Quarantined (suspected COVID-19) | 106 | 1 |
More than 1 answer was possible. BMI = body mass index.
Figure 2Symptoms stratified by positive NPS.
Work-Related Risk Exposure Associated With Positive NPS COVID-19 Test in All Respondents
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|---|---|---|---|
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| Working in health care institution | 13,671 | 12.0 | 7.8–18.4 |
| Reallocation to different unit | 6426 | 1.9 | 1.3–2.7 |
| Changing job tasks | 6430 | 1.6 | 1.1–2.3 |
NPS = nasopharyngeal swab; OR = odds ratio.
OR calculated as the ratio between the odds in the presence of characteristic variable against the odds of another category used to the reference group (ie, working in health care institution. The OR is the ratio between the odds of working in health care institution against the odds of working in private practice. For working in health care institutions, we included all answers except working in private practice (ie, working at home and private setting). See item 15, Section 3 of Supplement 2.
OR calculated as the ratio between the odds in the presence of characteristic variable against the odds in the absence of the variable (ie, reallocation to different unit. The OR is the ratio between the odds of reallocation to different unit against the odds of no reallocation to different unit). See item 17, Section 3 of Supplement 2.
OR calculated as the ratio between the odds in the presence of characteristic variable against the odds in the absence of the variable (ie, changing job tasks. The OR is the ratio between the odds of changing job tasks against the odds of no changing job tasks). See item 18, Section 3 of Supplement 2.