| Literature DB >> 32448255 |
Wanhyung Lee1, Yi-Ryoung Lee2, Jin-Ha Yoon3,4, Hye-Ji Lee5, Mo-Yeol Kang6.
Abstract
BACKGROUND: Although numerous studies on occupational post-traumatic stress disorder (PTSD) have been conducted prior to the 1950-2010 seminal systematic review by Skogstad et al., the prevalence, risk factors, and impact of this disorder following traumatic events in occupational settings remain unclear. This study aims to address this knowledge gap by reviewing the literature published after 2010.Entities:
Keywords: Literature review; Risk factors; Stress disorders, post-traumatic; Workplace trauma
Year: 2020 PMID: 32448255 PMCID: PMC7245752 DOI: 10.1186/s12889-020-08903-2
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flow diagram illustrating the article selection process based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines
Summary of published studies that fulfilled the inclusion criteria for the status of post-traumatic stress disorder among workers
| First author. | Year | Country | Study design | Trauma | Participants | Trauma assessment | Prevalence or incidence |
|---|---|---|---|---|---|---|---|
| Sakuma, A | 2015 | Japan | Cross-sectional | Working after earthquake | 1294 disaster relief and reconstruction workers (327 firefighters, 610 local municipality workers, and 357 hospital medical workers) | PCL-S ≥ 44, 14 months after the earthquake | Local municipality workers (9.0%) Medical workers (9.3%) Firefighters (2.6%) |
| Lee, JH | 2016 | Korea | Cross-sectional | Working related factors | 3817 police officers with a traumatic event over a 1-year period | IES ≥26 | All workers (41.1%) Inspector group (46.0%): assistant inspector group (42.7%) Intelligence and national security Division (43.6%), Police precinct (43.5%): traffic affairs Management department (43.3%) |
| Shi, L | 2017 | China | Cross-sectional | Physical violence | 2706 healthcare workers from 39 public hospitals | PCL-C ≥ 50 | All workers (28.0%) |
| Maslow, CB | 2015 | USA | Longitudinal | Working after 911 | 16,488 rescue, recovery, and clean-up workers | PCL-C | Low-stable group (53.3%) Moderate-stable group (28.7%), Moderate-increasing group (6.4%) High-decreasing group (7.7%) High-stable group (4.0%) |
| Carmassi, C | 2016 | Italy | Cross-sectional | Working related factors | 110 emergency staff | Trauma and Loss Spectrum-Self Report | All (15.7%) Doctor (6.5%) Nurses (15.7%) Healthcare assistants (15.7%) |
| Fichera, GP | 2015 | Italy | Cross-sectional | Bank robbery | 383 bank employee victims of robbery | IES > 34 | 13% at 45 days after the robbery |
| Cukor, J | 2011 | USA | Longitudinal | Working after 911 | Clean-up and restore workers; 1) | 1) CAPS 2) PCL-C | 1) 8.4% at 4-years after 911, 5.8% at 6 years after 911 2) 4.8% at 4-years after 911, 2.4% at 6 years after 911 |
| Bromet, EJ | 2015 | USA | Longitudinal | Working after 911 | 3231 World Trade Center responders (957 non-traditional and 2274 police) | DSM-IV | 9.7% current, 7.9% remitted, and 5.9% partial PTSD |
| Shamia, NA | 2015 | UK | Cross-sectional | War in Gaza | 274 nurses | PCL-S: | 19.7% at 2 years after the war |
PCL-S: PTSD checklist-specific version
IES: Impact of Event Scale
PCL-C: PTSD Checklist-Civilian Version
CAPS: Clinician-Administered PTSD Scale
DSM-IV: Diagnostic and Statistical Manual of Mental Disorders 4th Edition
Summary of published studies that fulfilled the inclusion criteria for risk factors of post-traumatic stress disorder among workers
| First author. | Year | Country | Study design | Trauma | Participants | Trauma assessment | Estimate of risk |
|---|---|---|---|---|---|---|---|
| Fitch, T | 2015 | Bangladesh | Cross-sectional | Factory building collapse | 181 survivors at 1 year post factory collapse | PCL-S ≥ 50 | (OR, 95% CI) Married (3.2, 1.3–8.0), More than 70 working hours/week (2.4, 1.1–5.3), Higher job positions (2.6, 1.2–5.6), Concussion injury (3.7, 1.4–9.8) |
| James, L | 2018 | USA | Cross-sectional | Chronic exposure to critical incidents in workplace | 355 prison workers | PCL for DSM-5 | (Regression coefficients β, p-value) 1) Risk factor Being seriously injured (3.13, < 0.01), Encountering an inmate recently sexually assaulted (1.29, < 0.01), Being often placed in unnecessary danger (1.79, < 0.01), Being often unclear about what is expected of them (1.05, < 0.01). 2) Protective factor Being happy with job assignments (−1.49, < 0.01), Having positive relationships with supervisors (− 1.39, < 0.01), Having positive relationships with co-workers (− 1.46, < 0.01). |
| Shah, R | 2017 | Canada | Longitudinal | Workplace traumatic event | 141 urban public transit employees | SCID-I | Factors which were significantly associated with PTSD severity (Regression coefficients β, Female (3.31, 0.02), Ethnicity (13.33, 0.01), Workplace related stress (− 0.30, 0.02). |
| Geronazzo-Alman, L | 2017 | USA | Cross-sectional | Cumulative exposure to work-related traumatic events | 209 first responders | PCL-C | (Adjusted OR, 95% CI) Frequency of exposure (2.0, 1.2–3.3), Variety of exposure (2.8, 1.5–5.5), Nomothetic severity of exposure (2.9, 1.5–5.7), Idiographic severity of exposure (5.2, 2.4–11.3). |
| Schenk, EJ | 2017 | China | Cross-sectional | Working after earthquake | 337 medical rescue workers who performed within the first 3 months of the event | IES-R ≥ 33 | (Adjusted OR, 95% CI) Injured during rescue work (2.7, 1.4–5.1), Experienced a water shortage (3.0, 1.4–6.6), Disconnected from family or friends during rescue work (1.7, 0.8–3.7). |
| Bogaerts, S | 2013 | Netherlands | Cross-sectional | Intracolleague aggression | 174 prison workers | The Self-Rating Inventory for PTSD | Degree of type D personality (F = 21.9, |
| Spence Laschinger, HK | 2015 | Canada | Cross-sectional | Workplace bullying | 874 nurses (244 new graduate nurses and 630 experienced nurses) | Primary care PTSD screen | (Regression coefficients β, p-value) 1) Risk factor: workplace bullying among new graduate nurses (0.51, < 0.01), among experienced nurses (0.52, < 0.01) 2) Protective factor: psychological capital among new graduate nurses (−0.25, < 0.01) among experienced nurses (− 0.20, < 0.01) |
| Taymur, I | 2014 | Turkey | Longitudinal | Industrial Explosion | 157 workers nearby the explosion building | CAPS | Factors showing significant differences using Pearson’ chi-squared test 1) After 1 month History of psychiatric disorder, physical injury, acquaintances among the dead/injured, being involved in the incident, and having seen dead people 2) After 6 months: physical injury, acquaintances among the dead/ injured, being involved in the incident |
| Chatzea, VE | 2018 | Greece | Cross-sectional | Working during the European refugee crisis | 217 rescue workers | PCL-C ≥ 50 | (Adjusted OR, 95% CI) Female (2.1, 1.0–3.3), Single/divorced/widower (3.4, 2.2–4.6), Age (1.9, 1.8–2.1), Operation periods (2.1, 1.9–2.3), Duration of shifts (3.1, 2.5–3.7), Handling dead adults (2.8, 2.6–3.0), Handing dead children (2.9, 2.8–3.0). |
| Diene, E | 2012 | France | Cross-sectional | Industrial factory explosion | 13,129 economically active persons in the immediate and peripheral area of industrial disaster | IES-R ≥ 33 | (Adjusted OR, 95% CI) 1) Men Employees (4.3, 2.3–7.8), Factory workers/laborers (3.7, 1.8–7.6), Temporary layoff (2.6, 1.5–4.5), Unusable workplace (1.8, 1.1–2.8), Attendance at emergency department (4.1; 2.8–6.1), < 1.7 km to explosion site (3.6, 1.6–8.1), ≥50 years old (2.8, 1.3–5.9) 2) Women Artisan (2.7, 1.3–5.7), Employees/factory workers/laborers (2.2, 1.4–3.5), Attendance at emergency department (3.0, 2.2–4.4), Reporting of an occupational accident (1.5, 1.1–2.2), < 1.7 km to explosion site (3.0, 1.2–7.3), ≥50 years old (1.9, 1.1–3.1) |
| Sifaki-Pistolla, D. | 2017 | Greece | Cross-sectional | Working during the European refugee crisis | 217 rescue workers | PCL-C ≥ 50 | (Adjusted OR, 95% CI) Female (2.2, 1.1–3.4), Single/divorced/widower (3.5, 2.3–4.7), > 40 years old (3.8, 2.5–5.1), > 14 operation days (2.3, 1.4–3.2), > 4 shift hours/day (3.9, 3.1–4.7), Handling over 6 dead refugees (3.4, 2.3–4.5), Handling dead children (3.2, 1.9–4.4). |
| Song, J. Y. | 2018 | Korea | Cross-sectional | Chemical release disasters | 237 workers in industrial complex | IES-R ≥ 24 | (Adjusted OR, 95% CI) Alcohol dependence (3.1, 1.3–7.6), Psychiatric symptom at the time of the accident (5.3, 1.8–15.6) Workers with high perceived stress scale scores (8.7, 2.3–33.2) |
| Noda, Y. | 2018 | Japan | Cross-sectional | Working after earthquake | 220 rescue workers | IES-R ≥ 24 | (Coefficients β, p-value) 1) Higher level of education Intrusion (−0.17, 0.02) Avoidance (− 0.18, 0.03) Hyperarousal (− 0.18, 0.02) 2) Resilience Intrusion (− 0.18, 0.02) Avoidance (− 0.16, 0.02) Hyperarousal (− 0.26, < 0.01) |
| McCanlies, EC. | 2014 | USA | Cross-sectional | Working after hurricane | 114 police officers | PCL-C | (Coefficients β, 1) Resilience (− 0.65, < 0.01) 2) Satisfaction with life (− 0.55, < 0.01) 3) Gratitude (− 0.67, < 0.01) 4) Post-traumatic growth (0.09, 0.55) |
PCL-S: PTSD Checklist-Specific Version
SCID-I: Structured Clinical Interview for the DSM-IV Axis I Disorder
IES-R: Impact of Event Scale-Revised
PCL-C: PTSD Checklist-Civilian Version
OR: Odds ratio
95% CI: 95% confidence interval
Summary of published studies that fulfilled the inclusion criteria for the effect on workers with post-traumatic stress disorder
| First author. | Year | Country | Study design | Trauma | Participants | Effect | Results |
|---|---|---|---|---|---|---|---|
| Giosan, C | 2015 | USA | Cross-sectional | Working after the 9/11 attack | 2453 utility workers | CAPS | PTSD severity was significantly associated with sleep disturbance (β = 0.52, p-value < 0.01). |
| Mindlis, I | 2017 | USA | Longitudinal | Working after 911 | 181 rescue and recovery workers with asthma | Asthma morbidity | PTSD patients showed - Worse asthma control (mean difference = 0.57, 95% CI: 0.12–1.02) - Poorer asthma quality of life (mean difference = − 0.83, 95% CI: −1.32–0.34) - Higher rates of inpatient healthcare utilization due to asthma (adjusted OR = 11.9, 95% CI: 3.5–40.1). |
| Hunnicutt-Ferguson, K | 2018 | USA | Longitudinal | Working after the 9/11 attack | Clean-up and restore workers who met the criteria for PTSD or subthreshold PTSD at baseline ( | Functional impairment and subjective distress | PTSD severity was positively associated with - Subjective distress, - Social impairment - Occupational impairment |
| Yu, S | 2016 | USA | Longitudinal | Working after the 9/11 attack | 7662 rescue and recovery workers | Early retirement and job loss | (Adjusted OR, 95% CI) Chronic conditions and PTSD comorbidity increased OR for 1) Early retirement - Three chronic conditionswithout PTSD (1.3, 0.6–2.7) - Three chronic conditions with PTSD (2.1, 1.2–3.9) 2) Job loss - Three chronic conditionswithout PTSD (3.2, 1.6–6.5) - Three chronic conditions with PTSD (10.7, 6.7–17.2) |
| de la Hoz, RE | 2016 | USA | Longitudinal | Working after the 9/11 attack | 11,481 workers and volunteers who performed rescue, recovery, and service restoration duties | BDR, incident asthma | (Adjusted OR, 95% CI) Mean f/u period 4.95 years. 1) PTSD - > BDR - At baseline, all participants ( 2) PTSD - > incident asthma - F/u visits, never smokers without asthma at baseline ( |
| Luft, BJ | 2012 | USA | Longitudinal | Working after 911 | 8508 police and 12,333 non-traditional responders | Respiratory symptoms, and pulmonary function test | 1) Correlation: Lower respiratory symptoms - Police (r = 0.28) - Non-traditional responders (r = 0.27)2) No correlation: lung function - Police (r = 0.03) - Non-traditional responders (r = 0.03) |
| Kerai, S | 2017 | Pakistan | Cross-sectional | Working related factors | 507 emergency medical service personnel (doctors 37, nurses 202, drivers 211, paramedics 57) | Work performance: number of late arrivals to work, number of days absent, number of days sick, adherence to protocol, and patient satisfaction over a period of 3 months | No statistically significant association was found between PTSD and work performance in multiple logistic regression. |
| Kotov, R | 2015 | USA | Longitudinal | Working after 911 | 18,896 responders (8466 police and 10,430 non-traditional) | Respiratory symptoms | Lower respiratory symptoms was positively correlated with - Worked in dust cloud, - Long hours on site |
CAPS: Clinician-Administered PTSD Scale
BDR: Bronchodilator response
OR: Odds ratio
95% CI: 95% confidence interval