Background
Methods
Search strategy
Inclusion and exclusion criteria
Selection and organization
Results
Status of PTSD 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) N = 727, 2) N = 2626 | 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 |
Risk factors of PTSD 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, p-value) Severity of depression (0.66, 0.01), 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, p < 0.01) |
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, p-value) 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) |
Effect of PTSD on the health of workers
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 (N = 514), 1-year (N = 289), and 2-year follow-up (N = 179) | 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 (N = 11,481): (1.4, 1.2–1.7) 2) PTSD - > incident asthma - F/u visits, never smokers without asthma at baseline (N = 3757): (2.4, 1.9–3.1). |
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 |