Occupational Chemical Exposure and Health Status of Wildland Firefighters at the Firefront: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Study Selection
3.2. Study Characteristics
3.3. Summary of Results
3.3.1. Chemical Hazards
3.3.2. Health Impairments
3.4. Risk of Bias
4. Discussion
4.1. Chemical Agents at Firefront
4.2. Health Impairments
4.2.1. Respiratory Diseases
4.2.2. Cancer Diseases
4.3. Proven Exposure to Chemical Exposure and Health Issues
4.4. Biases and Limitations
4.5. Implications for Practice
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Reference | Objective | Results | Evidence |
---|---|---|---|
[46] | Fire smoke exposure assessment | * General shift values: IA PF IP Acrolein (ppb) 1 1 9 Benzene (ppb) 3 4 16 CO2 (ppm) 391 439 450 CO (ppm) 1.6 2.8 4.1 Formaldehyde (ppb) 6 13 47 PR (mg/m3) 0.022 0.50 0.63 PT (15 mg/m3) 1.39 1.47 NA IR PELs (Em ≤ 1.0) ** 0.1 0.1 0.3 IR TLVs (Em ≤ 1.0) *** 0.1 0.2 0.4 Line of Fire: IA PF IP Acrolein (ppb) 5 2 15 Benzene (ppb) 14 6 28 CO2 (ppm) 488 465 519 CO (ppm) 7.4 4.0 6.9 Formaldehyde (ppb) 28 18 75 PR (mg/m3) 1.11 0.72 2.93 PT (15 mg/m3) 5.32 1.72 NA IR PELs (Em ≤ 1.0) 0.4 0.1 0.4 IR TLVs (Em ≤ 1.0) 0.6 0.3 0.7 | About 8% of the workers in prescribed fires exceeded the TLV limit value for CO while in the fire line. When the fire attack is upwind, firefighters are at low exposure to the released components |
[47] | To characterize the acute pulmonary and systemic inflammatory effects of exposure to forest fire smoke | Δ[CO] = between 5 and 20 ppm | Exposure to smoke by firefighters triggers an inflammatory response caused by an increase in sputum granulocytes. |
[64] | To evaluate the relationship between exposure to CO, PM, and Levoglucosan changes in urinary methoxy phenols. | [PM2.5] = 1054 ± 415 mg/m3 [LG] = 75 ± 49 mg/m3 [CO] = 2.8 ± 1.8 ppm; LG/PM ratio = 0.08 ± 0.04 CO/PM ratio = 3.6 ± 2.2 | The OSHA limit values for CO were not exceeded. |
[48] | Analyzes data on individual exposure to CO, NO2, volatile organic compounds (VOCs), and PM2.5 obtained during an experimental fire. | CO (ppm) 1—TWA = 7.60; Peak Value = 493.30; TLV-STEL fulfilment = NO 2—TWA = 9.60; Peak Value = 486.60; TLV-STEL fulfilment = NO 3—TWA = 10.70; Peak Value = 198.80; TLV-STEL fulfilment = NO 4—TWA = 13.10; Peak Value = 386.60; TLV-STEL fulfilment = NO 5—TWA = 14.80; Peak Value = 499.80; TLV-STEL fulfilment = NO 6—TWA = 19.80; Peak Value = 454.40; TLV-STEL fulfilment= NO 7—TWA = n.d; Peak Value = n.d; TLV-STEL fulfilment = n.d 8—TWA = 11.80; Peak Value = 376.70; TLV-STEL fulfilment = NO 9—TWA = 13.70; Peak Value = 421.00; TLV-STEL fulfilment = NO 10—TWA = n.d; Peak Value = n.d; TLV-STEL fulfilment = n.d 11—TWA = 2.60; Peak Value = 112.00; TLV-STEL fulfilment = YES 12 —TWA = 6.80; Peak Value = 248.00; TLV-STEL fulfilment = NO 13—TWA = 5.80; Peak Value = 422.00; TLV-STEL fulfilment= NO 14—TWA = 12.50; Peak Value = 295.00; TLV-STEL fulfilment = NO 15—TWA = 19.30; Peak Value = 287.00; TLV-STEL fulfilment = YES 16—TWA = 5.70; Peak Value = 323.00; TLV-STEL fulfilment = YES 17—TWA = 1.30; Peak Value = 155.00; TLV-STEL fulfilment = YES 18—TWA = 12.70; Peak Value = 614.00; TLV-STEL fulfilment = NO 19—TWA = 6.10; Peak Value = 236.00; TLV-STEL fulfilment = NO 20—TWA = 4.10; Peak Value = 286.00; TLV-STEL fulfilment = YES NO2 (ppm) 1—TWA = 0.90; Peak Value = 3.00; TLV-STEL fulfilment = YES 2—TWA = 1.90; Peak Value = 9.00; TLV-STEL fulfilment = YES 3—TWA = 1.80; Peak Value = 8.00; TLV-STEL fulfilment = YES 4—TWA = 0.10; Peak Value = 33.00; TLV-STEL fulfilment = YES 5—TWA = 0.10; Peak Value = 22.00; TLV-STEL fulfilment = YES 6—TWA = n.d; Peak Value = n.d; TLV-STEL fulfilment = n.d 7—TWA = 1.10; Peak Value = 10.00; TLV-STEL fulfilment = YES 8—TWA = 0.10; Peak Value = 4.00; TLV-STEL fulfilment= YES 9—TWA = 2.20; Peak Value = 5.00; TLV-STEL fulfilment = YES 10—TWA = 0.02; Peak Value = 4.00; TLV-STEL fulfilment = YES 11—TWA = 0.06; Peak Value = 16.8; TLV-STEL fulfilment = YES 12—TWA = 0.03; Peak Value = 2.60; TLV-STEL fulfilment = YES 13—TWA = 0.05; Peak Value = 5.90; TLV-STEL fulfilment = YES 14—TWA = 0.02; Peak Value = 5.00; TLV-STEL fulfilment = YES 15—TWA = 0.11; Peak Value = 9.70; TLV-STEL fulfilment = YES 16—TWA = 0.12; Peak Value = 5.10; TLV-STEL fulfilment = YES 17—TWA = 0.03; Peak Value = 5.70; TLV-STEL fulfilment = YES 18—TWA = 0.09; Peak Value = 12.00; TLV-STEL fulfilment = YES 19—TWA = 0.09; Peak Value = 3.70; TLV-STEL fulfilment = YES 20—TWA = 0.09; Peak Value = 8.50; TLV-STEL fulfilment = YES VOC (ppm) 1—TWA = 0.19; Peak Value = 88.00; TLV-STEL fulfilment = n.a 2—TWA = 0.28; Peak Value = 35.00; TLV-STEL fulfilment = n.a 3—TWA = 0.03; Peak Value = 4.00; TLV-STEL fulfilment = n.a 4—TWA = 0.16; Peak Value = 11.00; TLV-STEL fulfilment = n.a 5—TWA = 0.12; Peak Value = 12.00; TLV-STEL fulfilment = n.a 6—TWA = 0.47; Peak Value = 63.00; TLV-STEL fulfilment = n.a 7—TWA = 0.22; Peak Value = 23.00; TLV-STEL fulfilment = n.a 8—TWA = 0.19; Peak Value = 15.00; TLV-STEL fulfilment = n.a 9—TWA = 0.69; Peak Value = 20.00; TLV-STEL fulfilment = n.a 10—TWA = 0.25; Peak Value = 15.00; TLV-STEL fulfilment = n.a 11—TWA = 0.00; Peak Value = 68.00; TLV-STEL fulfilment = n.a 12—TWA = 0.03; Peak Value = 7.0; TLV-STEL fulfilment = n.a 13—TWA = 0.03; Peak Value = 29.00; TLV-STEL fulfilment = n.a 14—TWA =0.02; Peak Value = 15.00; TLV-STEL fulfilment = n.a 15—TWA = 0.03; Peak Value = 9.00; TLV-STEL fulfilment = n.a 16—TWA = 0.86; Peak Value = 76.00; TLV-STEL fulfilment = n.a 17—TWA = 0.01; Peak Value = 5.00; TLV-STEL fulfilment = n.a 18—TWA = 0.17; Peak Value = 59.00; TLV-STEL fulfilment = n.a 19—TWA = 0.04; Peak Value = 12.00; TLV-STEL fulfilment = n.a 20—TWA = 0.06; Peak Value = 6.00; TLV-STEL fulfilment = n.a PM2.5 (µm−3) 1—TWA = 773.40; Peak Value = 13,593.00; TLV-STEL fulfilment = n.a 2—TWA = 551.00; Peak Value = 13,768.00; TLV-STEL fulfilment = n.a 3—TWA = 917.10; Peak Value = 15,590.00; TLV-STEL fulfilment = n.a 4—TWA = 1436.60; Peak Value = 19,953.00; TLV-STEL fulfilment = n.a 5—TWA = 2196.40; Peak Value = 19,134.00; TLV-STEL fulfilment = n.a 6—TWA = 2187.50; Peak Value = 16,516.00; TLV-STEL fulfilment = n.a 7—TWA = 2052.80; Peak Value = 17,635.00; TLV-STEL fulfilment = n.a 8—TWA = 1435.40; Peak Value = 14,469.00; TLV-STEL fulfilment = n.a 9—TWA = 1829.30; Peak Value = 18,286.00; TLV-STEL fulfilment = n.a 10—TWA = 618.50; Peak Value = 13,989.00; TLV-STEL fulfilment = n.a 11—TWA = 131.90; Peak Value = 6257.00; TLV-STEL fulfilment = n.a 12—TWA = 1201.60; Peak Value = 14,663.00; TLV-STEL fulfilment = n.a 13—TWA = 371.50; Peak Value = 10,049.00; TLV-STEL fulfilment = n.a 14—TWA = 943.70; Peak Value = 13,055.00; TLV-STEL fulfilment = n.a 15—TWA = 456.40; Peak Value = 13,390.00; TLV-STEL fulfilment = n.a 16—TWA = 120.10; Peak Value = 6934.00; TLV-STEL fulfilment = n.a 17—TWA = 198.00; Peak Value = 8896.00; TLV-STEL fulfilment = n.a 18—TWA = 1188.30; Peak Value = 12,929.00; TLV-STEL fulfilment = n.a 19—TWA = 528.90; Peak Value = 17,290.00; TLV-STEL fulfilment = n.a 20—TWA = 1072.9; Peak Value = 15,071.0; TLV-STEL fulfilment = n.a | Using the ACGHI reference value at the PM level, the concentrations found did not exceed the reference value. |
[44] | Evaluate the association between PM2.5 particles and duration, fire size, work tasks, and meteorological variables to identify factors that influence exposure. | Burning day: µ[PM2.5] = 280 µg/m3 (95% CL = 140, 557 µg/m3, n = 177) No-burn days: µ[PM2.5] = 16 µg/m3 (95% CL = 10, 26 µg/m3, n = 35) | The values found by the authors do not exceed the OSHA or ACGIH limit values |
[79] | Assess the high exposure risk related to forest fire smoke inhalation | CO (ppm) RP (mg/m3) Formaldehyde (ppm) Fuel reduction burns 12.2 >1.5 <0.192 Experimental burns 6.5 >0.73 <0.042 Slash or heap burns 2.9 >0.55 <0.042 Prescribed burns 9.1 >1.2 <0.161 Victorian wildfires 4.5 0.39 0.042 | The concentrations of pollutants varied significantly, making it difficult to assess the firefighters’ exposure. |
[59] | Characterize forest fire smoke exposure and health impacts. | TLV-TWA: CO (25 ppm); NO2 (3 ppm); TLV-STEL: CO (200 ppm); NO2 (5 ppm); Peak: CO (400 ppm); NO2 (20 ppm). | The authors indicate that firefighters are exposed to high CO, NO2, and VOC concentrations in forest firefighting. |
[60] | Investigate the effect of occupational smoke exposure through biomarkers. | µg[PM2.5] = 650 μg/m3; [PM2.5] = 288 a 1306 μg/m3 µg[CO] = 3.6 ppm; Δ[CO] = 1.54 a 19.85 ppm | Exposure to smoke induces inflammation. |
[61] | CO exposure assessment of a group of US firefighters. | µg[CO] = 1.06 ppm; interval of concentration = 0–14 ppm | The samples exceed the NIOSH stipulated limit value of 200 ppm. |
[65] | Evaluation of particles, levoglucosan and CO. | Δ[PM2.5] = 64 to 2068 µg m−3 Δ[CO] = 0.02 to 8.2 ppm Δ[LG] = 0.04 to 291 µg m−3 | PM and CO do not exceed the recommended limit values. |
[66] | Smoke exposure assessment. | µ[PM2.5] = 248 μg/m3 µ[CO] = 1.0 ppm Pre-shift [8-Oxo-dG] = 81 μg/g creatinine [MDA] = 0.78 μmol/g creatinine Post-shift [8-Oxo-dG] = 70 μg/g creatinine [MDA] = 0.95 μmol/g creatinine | The authors suggest that firefighters are exposed to oxidative damage of nucleobases in forest fires, which may be influenced by the number of years in the firefighter’s career. |
[53] | Evaluation of urinary levoglucosan as a biomarker of smoke exposure. | µg[LG] before the shift = 26 mg/mL µg[LG] after shift = 35 mg/mL µg[PM2.5] = 248 mg/m3 | Levoglucosan was not associated with PM2.5. |
[52] | Characterize occupational exposures from wildland firefighting and evaluate their associations with changes in lung function. | µ[PMtotal] = 0.39 mg/m3 µ[PM](workers from other activities like excavation) = 0.88 mg/m3 µ[PM](workers on the fireline) = 0.35 mg/m3 µ[CO]Swampers = 6.24 ppm µ[CO]Sawyers = 8.19 ppm were µ[CO]line workers = 0.67 ppm (p < 0.001) [LG]line fire = 1.88 μg/m3 [LG]mop-pop = 0.26 μg/m3 (p < 0.05). [Organic Carbon] = 0.17 mg/m3. µ[CO TWA] = r = 0.54 (p < 0.001). | About 71% of the LG found is in the respirable particulate range. |
[45] | Compare hydroxylated PAH metabolites concentration in urine samples before and after the shift. | [CO] = 1.34 ppm; [PM2.5] = 577 μg/m3 [LG] = 21 μg/m3 | All OH-PAHs were above the detection limits. There were consistent, substantial increases in OH-PAHs |
[55] | Assessment of air pollutants in forest fires and wildfires. | Low molecular weight PAHs were identified at higher concentrations. Except for anthracene, all 2- and 3-ring PAHs were identified in at least 73% of the samples. | Containment and surveillance tasks have higher concentrations than those performed on firelines, particularly benzene. |
[62] | Analyze the CO exposure data to assess the exposure of firefighters. | Chainsaw handling was the highest overall average CO level at 6.8 ppm during 1 min of exposure at 25 ppm. The CO exposure in this task is aggravated by using chainsaws for felling trees and bushes that facilitate firefighting. | A firefighter in environments with wind shifts or strictly downwind with speeds greater than 5mph is more exposed to CO |
[56] | Characterize and understand the exposures of polycyclic aromatic hydrocarbons and PM2.5 in a forest fire. | Naphthalene, Retene, and Phenanthrene were the most commonly detected polycyclic aromatic hydrocarbons. PM2.5 concentrations were highest during the day. | Wildland firefighters engaged in fire suppression are often exposed to hazardous air pollutants. |
[43] | Urinary mutagenicity assessment to characterize firefighter exposure on burning days compared to non-burning days. | Working days without firing: µ[PM2.5] = 35.1 μg/m3 µ[CO] = 0.005 ppm Working days with firing: µ[PM2.5] = 259.4 μg/m3 µ[CO] = 0.8 ppm | No statistically significant increases between work shifts were observed in urinary mutagenicity. |
[67] | Assessing markers of exposure to forest fires. | PM2.5 were the most predictive of respiratory symptoms. | Concentrations of persistent inflammatory markers in plasma were related to exposure estimates. |
[51] | Characterize pollutant emissions in forest fires during burning. | [PM2.5] = 1.47 mg/m3 [CO] = 8.50 ppm [BC] = 47.85 μg/m3 | 88% of shifts exceeded the imposed CO |
[49] | Assessment of particulate matter and VOCs during forest firefighting. | The direct attack has statistically significant VOC exposure of 3.5, 6.0, and 63.1 ppb for acrolein, benzene, and formaldehyde, respectively. | The initial attack teams are the most exposed. |
[71] | Assessment the exposure of firefighters in prescribed wildland fires and their occupational exposure | The findings indicate that the prescribed thresholds for PM2.5 were surpassed in all monitored fires, with recorded levels reaching 6188 and 9434 μg/m3 (Fire 1), 3841 and 6240 μg/m3 (Fire 2), 4328, 3789, and 3512 μg/m3 (Fire 3), 5452 μg/m3 (Fire 4), 7778, 4056, and 3784 μg/m3 (Fire 5), 3651, 5912, and 4962 μg/m3 (Fire 6), and 3468 μg/m3 (Fire 7). Conversely, the prescribed Time-Weighted Average (TWA) limits for NO2, SO2, and CO were consistently maintained within permissible bounds and were never exceeded. | The inhalation of silica dust, contingent upon exposure duration and intensity, can induce symptoms characteristic of silicosis (such as coughing, fatigue, shortness of breath, and chest pain), as well as provoke pulmonary inflammation and carcinogenesis. |
[50] | Assessment exposure from one Interagency Hotshot Crew conducted at a wildfire incident | The mean-variance between pre- and post-shift levoglucosan levels amounted to 1.84, 4.6, and 74.4 μg/mg creatinine for days 1, 2, and 3, respectively. | Post-shift creatinine-adjusted levoglucosan concentrations exhibited an elevation in comparison to pre-shift levels, with the most significant disparity observed on day 3. |
[68] | Characterization of levels of gaseous PAH in firefighters’ air during regular working activities at controlled forest fires and fire stations | The observed concentrations increased significantly during the fire event due to the rise in flame temperature, forest fuel load, and certain alterations noted in weather conditions during the fire event | The risk of lung cancer is estimated to exceed the values proposed by the WHO due to high exposure to carcinogenic agents. |
[57] | To characterize polycyclic aromatic hydrocarbons (PAHs) present in the respiratory zone and on the skin of wildland firefighters, and evaluate their impact on urinary 1-hydroxypyrene (1-HP) levels across multiple firefighting rotations. | The samples exceeded the Biological Exposure Index of the American Conference of Governmental Industrial Hygienists for 1-HP. | There is a need to control the exposure of firefighters |
[80] | Assess small airway dysfunction, spirometry, health-related quality of life (HR-QoL), and inflammatory biomarkers between the wildland firefighters and healthy controls. | The findings indicated a significantly greater alteration in the area under the reactance curve between 5 Hz and the resonant frequency (AX) during pollution periods compared to non-pollution periods among wildland firefighters, in contrast to healthy controls (adjusted mean difference = 0.15 kPa/L, 95% CI: 0.01, 0.28, p = 0.032). | Despite no observed changes in spirometry results, the authors suggest that there are alterations in respiratory parameters over a short period of time, as observed through biomarkers. |
[58] | This study characterizes the baseline levels of OHPAHs in Portuguese wildland firefighters. Additionally, it offers a comprehensive evaluation of their current health status, encompassing parameters | The total levels of ΣOHPAHs corrected by creatinine ranged from 1.20 × 10−1 to 78.20 μmol/mol of creatinine, which were significantly higher in smokers. | There is a relationship between exposure to PAHs and changes in the levels of leukocytes and blood pressure. However, the authors consider that the fact that individuals are smokers may be an influencing factor. |
Reference | Objective | Results | Evidence | |
---|---|---|---|---|
Cancer (n = 2) | [69] | To determine whether or not wildfire fighting is associated with elevated levels of PAH-DNA adduct in peripheral leukocytes. | No changes in PAH-DNA were identified in peripheral leukocytes. | The appearance of cancer in firefighters caused by these factors is unclear since other genotoxic substances may interact and increase cancer risk. |
[70] | Assessing lung cancer risk and cardiovascular disease mortality related to smoking exposure. | Firefighter Short Season PM4 Daily Dose (mg) Mean (95th PCTL) Lung cancer CVD 0.15 (0.19) 1.08 (1.09) 1.16 (1.17) 0.30 (0.37) 1.13 (1.15) 1.19 (1.21) 0.45 (0.56) 1.18 (1.21) 1.22 (1.23) 0.60 (0.75) 1.22 (1.26) 1.23 (1.25) 0.74 (0.93) 1.26 (1.30) 1.25 (1.26) Firefighter Long Season P M4 Daily Dose (mg) Mean (95th PCTL) Lung cancer CVD 0.30 (0.37) 1.13 (1.15) 1.19 (1.21) 0.60 (0.75) 1.22 (1.26) 1.23 (1.25) 0.89 (1.12) 1.29 (1.35) 1.26 (1.28) 1.19 (1.50) 1.36 (1.43) 1.28 (1.30) 1.49 (1.87) 1.43 (1.51) 1.30 (1.32) | The results show that firefighters have a high risk of lung cancer and the onset of cardiovascular disease. | |
Cardiovascular (n = 1) | [70] | Assessing lung cancer risk and cardiovascular disease mortality related to smoking exposure. | Firefighter Short Season PM4 Daily Dose (mg) Mean (95thPCTL) Lung cancer CVD 0.15 (0.19) 1.08 (1.09) 1.16 (1.17) 0.30 (0.37) 1.13 (1.15) 1.19 (1.21) 0.45 (0.56) 1.18 (1.21) 1.22 (1.23) 0.60 (0.75) 1.22 (1.26) 1.23 (1.25) 0.74 (0.93) 1.26 (1.30) 1.25 (1.26) Firefighter Long Season P M4 Daily Dose (mg) Mean (95thPCTL) Lung cancer CVD 0.30 (0.37) 1.13 (1.15) 1.19 (1.21) 0.60 (0.75) 1.22 (1.26) 1.23 (1.25) 0.89 (1.12) 1.29 (1.35) 1.26 (1.28) 1.19 (1.50) 1.36 (1.43) 1.28 (1.30) 1.49 (1.87) 1.43 (1.51) 1.30 (1.32) | The results show that firefighters have a high risk of lung cancer and the onset of cardiovascular disease. |
Respiratory (n = 13) | [72] | Assessing the effects on the respiratory health of forest firefighters | Cross-shift Cough: Before the exhibition—25.7% During the exhibition—19.6% After exposure—26.1% Excretion: Before the exhibition—15.9% During the exhibition—22.0% After exposure—23.7% Sore throat: Before the exhibition—8.1% During the exhibition—19.6% After exposure—15.9% Tightness in the chest: Before the exhibition—4.6% During the exhibition—12.2% After exposure—15.3% Pain in the chest: Before the exhibition—1.4% During the exhibition—4.3% After exposure—4.3% Wheezing: Before the exhibition—4.1% During the exhibition—8.7% After exposure—4.3% Cross-season Cough: Before the exhibition—11.3% During the exhibition—NA After exposure—11.3% Expectoration: Before the exhibition—18.9% During the exhibition—NA After exposure—17.3% Chronic bronchitis: Before the exhibition—3.9% During the exhibition—NA After exposure—5.8% Wheezing: Before the exhibition—2.4% During the exhibition—NA After exposure—0.0% | In the firefighters evaluated, there was a decrease in lung function, but during the winter months, there was an improvement. |
[73] | To characterize the respiratory function of active Portuguese volunteer firefighters exposed to forest fire smoke. | 5.9% of the individuals evaluated had risk factors for work-related lung disease and not as volunteer firefighters. 8.4% of the individuals already knew respiratory pathologies. 11.8% of the individuals presented criteria for bronchial obstruction. Individuals aged 40 years or older had a prevalence of 14.0% of obstructive patterns. 95.8% of the subjects did not use a cannula. | It was shown that the individual did not use personal protection means for the airways most of the time, and the lack of these means was verified in some corporations. | |
[74] | To characterize the acute pulmonary and systemic inflammatory effects of exposure to forest fire smoke | Portable CO monitors show levels fluctuating between 5 and 20 ppm.65% of firefighters report having one or more respiratory symptoms. After exposure, on questionnaires, 16 subjects were asymptomatic, 13 had sputum production, 11 had a cough, 9 had nasal congestion, 6 had a headache, 6 had a sore throat, 5 had shortness of breath, and others had other symptoms. | Exposure to smoke by firefighters triggers an inflammatory response caused by an increase in sputum granulocytes. | |
[47] | Evaluation of lung function during the firefighting season. | It was associated with declines in pre-shift Forced Vital Capacity (FVC) of 24 mL (p < 0.01) and 24 mL in pre-shift modified Tiffeneau-Pinelli index (FEV1) (p < 0.01) in non-allergic firefighters. Declines of 8ml of FVC (p < 0.01) and 4 mL of FEV1 (p < 0.01) in allergic firefighters. | No changes in lung function were evident between before and after shifts on fire days. However, it is known that there may be a cumulative effect after several days of exposure. | |
[77] | Characterize forest fire smoke exposure and health impacts. | Threshold Limit Value-Time-Weighted Average (TLV-TWA): CO (25 ppm); NO2 (3 ppm); Short-term exposure limit value (TLV-STEL): CO (200 ppm); NO2 (5 ppm); Pico: CO (400 ppm); NO2 (20 ppm). | Firefighters significantly decrease respiratory function between the two measurements. | |
[59] | Investigate the effect of occupational smoke exposure through biomarkers. | Evaluation of arithmetic averages of Biomarkers at 95% before exposure: Interleukin 1 beta (IL-1β) (pg/mL) (0.94 (0.51, 1.38)); Interleukin 8 (IL-8) (pg/mL) (0.93 (0.81, 1.06)); C-reactive protein (CRP) (ng/mL) (30.63 (19.72, 41.55)); Serum amyloid A (SAA) (ng/mL) (36.72 (21.17, 52.28)); Intercellular adhesion molecule-1 (ICAM-1) (ng/mL) (6.33 (5.50, 7.15)); Vascular cell adhesion protein 1 (VCAM-1) (ng/mL) (15.16 (13.00, 17.32)) Evaluation of arithmetic averages of Biomarkers at 95% after exposure: IL-1β (pg/mL) (0.58 (0.30, 0.86)); IL-8 (pg/mL) (1.67 (1.35, 1.99)); CRP (ng/mL) (31.63 (19.29, 43.97)); SAA (ng/mL) (33.92 (22.25, 45.60)); ICAM-1 (ng/mL) (6.29 (5.56, 7.03)); VCAM-1 (ng/mL) (14.53 (12.70, 16.36)) | There was no association between cross-shift and biomarker results compared to the onset of respiratory symptoms during exposure. | |
[60] | Characterize occupational exposures from wildland firefighting and evaluate their associations with changes in lung function. | ΔFEV1 was a decline of 0.045 L (p = 0.08). | More significant drops in forced expiratory volume in 1 s were significantly associated with exposure to higher concentrations of LG in the respirable range. | |
[52] | Assessing respiratory and airway health and systemic inflammation in Firefighters after fighting forest fires. | Respiratory symptoms such as wheezing, coughing, chest tightness, sneezing, and sputum were statistically significantly higher after firefighting (p = 0.028, p = 0.03, p = 0.02, p < 0.001, and p = 0.006, respectively). FEF25-75% predicted, and FEV1/FVC were statistically reduced in later exposure compared to off-season values (103 ± 32 vs. 111 ± 15, p = 0.026, and 84 ± 4 vs. 88 ± 8, p = 0.024, respectively). Increased neutrophils and eosinophils post-exposure compared to the off-season (48 ± 5% vs. 16 ± 4%, p = 0.035, and 3 ± 0.8% vs. 1.8 ± 0.7%, p = 0.05, respectively). IL-8 and TNF-α levels were statistically significantly higher in the post-exposure sputum compared to the off-season (p = 0.03 and p = 0.04, respectively). | Measurable eosinophilic and neutrophilic inflammation has been demonstrated in the airways at the bronchial level after acute exposure to forest firefighting. Firefighters’ Occupational exposure induces a systemic inflammation of the airways that is aggravated long-term during their exposure. | |
[75] | Urinary mutagenicity assessment to characterize firefighter exposure on burning days compared to non-burning days. | Working days without firing µ[PM2.5] = 35.1 [95% CL: 15.9, 77.3] μg/m3 µ[CO] = 0.005 [95% CL: 0.002, 0.016] ppm Working days with firing µ[PM2.5] = 259.4 [95% LC: 156.1, 431.1] μg/m3 µ[CO] = 0.8 [95% LC: 0.4, 1.8] ppm [Urinary Creatinine] = 10 and 382 mg/dL, with 92% of samples above the lower end of the normal range (30–300 mg/dL). µ[MDA] = 894.6 (95% CL: 748.5, 1069.0) nmole/L and 84.3 (95% CL: 74.9, 95.0) μmol MDA/mole creatinine | No statistically significant increases between work shifts were observed in urinary mutagenicity. | |
[43] | Determine acute pulmonary responses among firefighters. | Working days with firering µ[IL-8] = 0.02–0.03 pg/mL µ[CRP] = 2.40–2.56 pg/mL µ[sICAM-1] = 2.39–2.59 pg/mL µ[8- isoprostane] = 3.51–3.80 pg/mL | The results show no signs of airway inflammation after exposure. | |
[76] | Investigate the association between polycyclic aromatic hydrocarbon-DNA adducts and occupational and dietary exposures to polycyclic aromatic hydrocarbons. | Times are charbroiled food in the past two weeks: 0 (weeks)—0.06 ± 0.07 (fmole/pg DNA) 1–2 (weeks)—0.10 ± 0.12 (fmole/pg DNA) 3–5 (weeks)—0.13 ± 0.13 (fmole/pg DNA) >5 (weeks)—0.21 ± 0.17 (fmole/pg DNA) Weeks since last ate charbroiled food: ≤1 week 0.13 ± 0.14 >1 week 0.07 ± 0.07 | There was no association between firefighting activity and PAH-DNA adduct level | |
[78] | Assessing markers of exposure to forest fires. | Service A May Log total exposure PM2.5: 9.96 ± 1.22 Log highest day exposure: 7.95 ± 1.32 Days since the last deployment: 5.53 ± 4.25 Days since last fire: 4.22 ± 3.6 Dehydration score: 19.18 ± 17.68 Heat stress: 14.62 ± 13.17 Noise: 24.45 ± 19.04 Exhaustion: 43.93 ± 28.00 Musculoskeletal strain: 26.96 ± 21.14 August/September Log total exposure PM2.5: 9.96 ± 1.22 Log highest day exposure: - Days since the last deployment: 104.13 ± 15.57 Days since last fire: 69.66 ± 39.54 Dehydration score: - Heat stress: - Noise: - Exhaustion: - Musculoskeletal strain: - Service A August/September Log total exposure PM2. 9.96 ± 1.22 Log highest day exposure: 7.85 ± 1.33 Days since the last deployment: 103.25 ± 15.35 Days since last fire: 67.64 ± 39.21 Dehydration score: 20.8 ± 18.25 Heat stress: 17.4 ± 15.38 Noise: 24.61 ± 18.63 Exhaustion: 44.45 ± 28.32 Musculoskeletal strain: 27.37 ± 21.35 Service B August/September Log total exposure PM2: 12.23 ± 0.47 Log highest day exposure: 9.13 ± 1.01 Days since the last deployment: 74.74 ± 21.37 Days since last fire: 60.14 ± 31.23 Dehydration score: 47.81 ± 25.75 Heat stress: 50.65 ± 25.88 Noise: 39.35 ± 28.53 Exhaustion: 81.48 ± 20.52 Musculoskeletal strain: 61.23 ± 23.81 | PM2.5 were the most predictive of respiratory symptoms. |
Appendix B
Criteria | Quality Rating | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Reference | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | |
[46] | Y | Y | NA | Y | N | NA | NA | Y | Y | Y | NA | NR | NA | Y | VG |
[47] | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | NR | Y | Y | VG |
[64] | Y | Y | Y | Y | N | Y | Y | N | Y | Y | Y | NR | N | Y | VG |
[48] | Y | Y | NR | Y | N | NA | NA | NA | Y | Y | NA | NR | NA | NR | G |
[44] | Y | Y | NR | Y | N | NA | NA | NA | Y | Y | NA | NR | NA | NR | G |
[54] | Y | Y | NR | Y | Y | Y | Y | Y | Y | Y | Y | NR | Y | NR | VG |
[59] | Y | Y | NR | Y | N | NA | NA | NA | Y | Y | NA | NR | NA | NR | G |
[60] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | Y | Y | VG |
[61] | N | Y | Y | Y | N | NA | NA | NA | Y | Y | NA | NA | NA | NR | G |
[65] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | Y | Y | VG |
[66] | N | Y | Y | Y | N | NA | NA | NA | Y | Y | NA | NR | NA | NR | G |
[53] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | NR | Y | VG |
[52] | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | NR | Y | NR | VG |
[45] | Y | Y | NR | Y | N | NA | NA | NA | Y | Y | Y | NA | NA | NR | VG |
[55] | Y | Y | NR | Y | Y | Y | Y | Y | Y | Y | Y | NR | N | NR | VG |
[62] | Y | Y | NR | Y | N | NA | NA | Y | Y | Y | NA | NA | NA | NR | G |
[56] | Y | N | NA | NA | NA | NA | NA | NA | NA | N | NA | NR | NA | NR | - |
[43] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | NA | Y | VG |
[67] | Y | Y | NR | NR | Y | Y | Y | Y | Y | Y | Y | NA | NA | Y | VG |
[51] | Y | Y | NR | Y | Y | NA | NR | NA | Y | Y | Y | NR | NR | NR | G |
[49] | Y | Y | NR | Y | N | NA | NA | NA | Y | Y | NA | NR | NA | NR | G |
[71] | Y | Y | NR | Y | NR | Y | Y | Y | Y | Y | Y | Y | NR | Y | VG |
[50] | Y | Y | NR | Y | NR | Y | Y | Y | Y | Y | Y | Y | NR | Y | VG |
[68] | Y | Y | NR | Y | NR | Y | Y | Y | Y | Y | Y | Y | NR | Y | VG |
[57] | Y | Y | NR | Y | NR | Y | Y | Y | Y | Y | Y | Y | NR | Y | VG |
[80] | Y | Y | NR | Y | NR | Y | Y | Y | Y | Y | Y | Y | NR | Y | VG |
[58] | Y | Y | NR | Y | NR | Y | Y | Y | Y | Y | Y | Y | NR | T | VG |
[69] | Y | Y | NR | Y | N | NA | NA | Y | Y | Y | NA | NR | NA | NR | G |
[70] | Y | N | NR | NR | N | NA | NR | NA | Y | Y | NA | NA | NA | NR | F |
[58] | Y | N | NA | NA | N | Y | Y | NA | N | Y | NA | NA | NA | NR | G |
[72] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | NR | NR | G |
[73] | Y | Y | NR | Y | N | N | NA | NA | NA | NA | Y | NR | NR | Y | G |
[74] | Y | Y | Y | Y | Y | NA | NA | NA | NA | Y | Y | NR | NR | Y | VG |
[47] | Y | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | NR | Y | Y | VG |
[77] | Y | Y | NR | Y | N | Y | Y | Y | NA | Y | Y | NR | NR | Y | G |
[59] | Y | Y | NR | Y | N | NA | NA | NA | Y | Y | NA | NR | NA | NR | G |
[60] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | Y | Y | VG |
[52] | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | NR | Y | NR | VG |
[75] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | N | Y | VG |
[43] | Y | Y | NR | Y | N | Y | Y | Y | Y | Y | Y | NR | NA | Y | VG |
[76] | Y | Y | NR | Y | Y | NA | NR | NA | Y | Y | Y | NR | NR | NR | G |
[78] | Y | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NR | NA | NR | F |
References
- Bu, Y.; Wu, W.; Zeng, X.; Koehl, L.; Tartare, G. A Wearable Intelligent System for Real Time Monitoring Firefighter’s Physiological State and Predicting Dangers. In Proceedings of the 2015 IEEE 16th International Conference on Communication Technology (ICCT) 2016, Hangzhou, China, 18–20 October 2015; pp. 429–432. [Google Scholar] [CrossRef]
- Raj, J.V.; Sarath, T.V. An IoT Based Real-Time Stress Detection System for Fire-Fighters. In Proceedings of the 2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019, Madurai, India, 15–17 May 2019; pp. 354–360. [Google Scholar]
- Groot, E.; Caturay, A.; Khan, Y.; Copes, R. A Systematic Review of the Health Impacts of Occupational Exposure to Wildland Fires. Int. J. Occup. Med. Environ. Health 2019, 32, 121–140. [Google Scholar] [CrossRef] [PubMed]
- Koopmans, E.; Fyfe, T.; Eadie, M.; Pelletier, C. Exploring Prevention and Mitigation Strategies to Reduce the Health Impacts of Occupational Exposure to Wildfires for Wildland Firefighters and Related Personnel: Protocol of a Scoping Study. Syst. Rev. 2020, 9, 119. [Google Scholar] [CrossRef] [PubMed]
- Ferreira, A.J.; Cordeiro, C.R.; Ferreira, P.; Miranda, A.I.; Martins, V.; Viegas, D.X. Firefighter Occupational Exposures in Forest Fire Settings—Three Years of the FUMEXP Project. Eur. Respir. J. 2011, 38, 4169. [Google Scholar]
- Perroni, F.; Guidetti, L.; Cignitti, L.; Baldari, C. Psychophysiological Responses of Firefighters to Emergencies: A Review. Open Sports Sci. J. 2014, 7, 8–15. [Google Scholar] [CrossRef]
- Wohlgemuth, K.; Sekiguchi, Y.; Mota, J. Overexertion and Heat Stress in the Fire Service: A New Conceptual Framework. Am. J. Ind. Med. 2023, 66, 705–709. [Google Scholar] [CrossRef] [PubMed]
- CDC Fire Fighter Fatality Map. Available online: https://wwwn.cdc.gov/Wisards/fffmap/ (accessed on 11 June 2024).
- Grant, C.; Hamins, A.; Bryner, N.; Jones, A.; Koepke, G. Research Roadmap for Smart Fire Fighting; Summary Report Research Roadmap for National Institute of Standards and Technology; National Institute of Standards and Technology: Gaithersburg, MD, USA, 2015. [Google Scholar]
- De Castro, C.F.; Abrantes, J.M.B. Combate a Incêndios Urbanos e Industriais; Escuela Nacional de Bomberos: Tegucigalpa, Honduras, 2005; Volume X, ISBN 9728792174. [Google Scholar]
- Lourenço, L.; Serra, G.; Mota, L.; Paúl, J.J.; Parola, J.; Reis, J. Manual de Combate a Incêndios Florestais para Equipas de Primeira Intervenção; Escuela Nacional de Bomberos: Tegucigalpa, Honduras, 2006; ISBN 9728792263. [Google Scholar]
- Carvalho, F.P.; Oliveira, J.M.; Malta, M. Exposure to Radionuclides in Smoke from Vegetation Fires. Sci. Total Environ. 2014, 472, 421–424. [Google Scholar] [CrossRef] [PubMed]
- Austin, C. Wildland Firefighter Health Risks and Respiratory Protection; IRSST: Montreal, QC, Canada, 2008; ISBN 9782896312962. [Google Scholar]
- Melius, J. Occupational Health for Firefighters. Occup. Med. 2000, 16, 101–108. [Google Scholar]
- Soteriades, E.S.; Kim, J.; Christophi, C.A.; Kales, S.N. Cancer Incidence and Mortality in Firefighters: A State-of-the-Art Review and Meta-َAnalysis. Asian Pac. J. Cancer Prev. 2019, 20, 3221–3231. [Google Scholar] [CrossRef]
- Broyles, G. Wildland Firefighter Smoke Exposure; United States Department of Agriculture: Washington, DC, USA, 2013. [Google Scholar]
- Mustajbegovic, J.; Zuskin, E.; Schachter, E.N.; Kern, J.; Vrcic-Keglevic, M.; Heimer, S.; Vitale, K.; Nada, T. Respiratory Function in Active Firefighters. Am. J. Ind. Med. 2001, 40, 55–62. [Google Scholar] [CrossRef]
- Harrison, R.; Materna, B.L.; Rothman, N. Respiratory Health Hazards and Lung Function in Wildland Firefighters. Occup. Med. 1995, 10, 857–870. [Google Scholar]
- Bigert, C.; Gustavsson, P.; Straif, K.; Taeger, D.; Pesch, B.; Kendzia, B.; Schüz, J.; Stücker, I.; Guida, F.; Brüske, I.; et al. Lung Cancer Among Firefighters. J. Occup. Environ. Med. 2016, 58, 1137–1143. [Google Scholar] [CrossRef] [PubMed]
- LeMasters, G.K.; Genaidy, A.M.; Succop, P.; Deddens, J.; Sobeih, T.; Barriera-Viruet, H.; Dunning, K.; Lockey, J. Cancer Risk among Firefighters: A Review and Meta-Analysis of 32 Studies. J. Occup. Environ. Med. 2006, 48, 1189–1202. [Google Scholar] [CrossRef]
- Interventions, E.; Congruence, C. Firefighters’ Cardiovascular Risk Behaviors. Workplace Health Saf. 2014, 62, 27–34. [Google Scholar] [CrossRef]
- Whitworth, J.A.; Williamson, P.M.; Mangos, G.; Kelly, J.J. Cardiovascular Consequences of Cortisol Excess. Vasc. Health Risk Manag. 2005, 1, 291–299. [Google Scholar] [CrossRef]
- Yoo, H.L.; Franke, W.D. Prevalence of Cardiovascular Disease Risk Factors in Volunteer Firefighters. J. Occup. Environ. Med. 2009, 51, 958–962. [Google Scholar] [CrossRef]
- Adetona, O.; Reinhardt, T.E.; Domitrovich, J.; Broyles, G.; Adetona, A.M.; Kleinman, M.T.; Ottmar, R.D.; Naeher, L.P. Review of the Health Effects of Wildland Fire Smoke on Wildland Firefighters and the Public. Inhal. Toxicol. 2016, 28, 95–139. [Google Scholar] [CrossRef]
- Withen, P. Climate Change and Wildland Firefighter Health and Safety. New Solut. A J. Environ. Occup. Health Policy 2015, 24, 577–584. [Google Scholar] [CrossRef]
- Kamran, M.; Wattimena, R.K.; Armaghani, D.J.; Asteris, P.G.; Jiskani, I.M.; Mohamad, E.T. Intelligent Based Decision-Making Strategy to Predict Fire Intensity in Subsurface Engineering Environments. Process Saf. Environ. Prot. 2023, 171, 374–384. [Google Scholar] [CrossRef]
- Ullah, B.; Kamran, M.; Rui, Y. Predictive Modeling of Short-Term Rockburst for the Stability of Subsurface Structures Using Machine Learning Approaches: T-SNE, K-Means Clustering and XGBoost. Mathematics 2022, 10, 449. [Google Scholar] [CrossRef]
- Kamran, M.; Shahani, N.M. Decision Support System for the Prediction of Mine Fire Levels in Underground Coal Mining Using Machine Learning Approaches. Min. Metall. Explor. 2022, 39, 591–601. [Google Scholar] [CrossRef]
- Weidinger, J.; Schlauderer, S.; Overhage, S. Is the Frontier Shifting into the Right Direction? A Qualitative Analysis of Acceptance Factors for Novel Firefighter Information Technologies. Inf. Syst. Front. 2018, 20, 669–692. [Google Scholar] [CrossRef]
- Adams, T.; Butler, B.; Brown, S.; Wright, V.; Black, A. Bridging the Divide between Fire Safety Research and Fighting Fire Safely: How Do We Convey Research Innovation to Contribute More Effectively to Wildland Firefighter Safety? Int. J. Wildland Fire 2017, 26, 107. [Google Scholar] [CrossRef]
- Shamsudin, N.M.; Mahmood, N.H.N.; Rahim, A.R.A.; Mohamad, S.F.; Masrom, M. Virtual Reality Training Approach for Occupational Safety and Health: A Pilot Study. Adv. Sci. Lett. 2018, 24, 2447–2450. [Google Scholar] [CrossRef]
- Md Shamsudin, N.; NIk Mahmood, N.H.; Abdul Rahim, A.; Fathi, M.S.; Masrom, M. Virtual Reality for Construction Occupational Safety and Health Training: A Review. Adv. Sci. Lett. 2018, 24, 2444–2446. [Google Scholar] [CrossRef]
- Islam, S.; Huang, Q.; Afghah, F.; Fule, P.; Razi, A. Fire Frontline Monitoring by Enabling UAV-Based Virtual Reality with Adaptive Imaging Rate. In Proceedings of the Conference Record—Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 3–6 November 2019; Volume 2019, pp. 368–372. [Google Scholar]
- Yfantis, E.A. A UAV with Autonomy, Pattern Recognition for Forest Fire Prevention, and AI for Providing Advice to Firefighters Fighting Forest Fires. In Proceedings of the 2019 IEEE 9th Annual Computing and Communication Workshop and Conference, CCWC 2019, Las Vegas, NV, USA, 7–9 January 2019; pp. 409–413. [Google Scholar]
- Hinkley, E.; Zajkowski, T.; Ambrosia, V.; Schoenung, S. Small UAS Demonstration for Wildlife Surveillance. In Proceedings of the AIAA Infotech@Aerospace 2007 Conference and Exhibit, Reston, VA, USA, 7–10 May 2007. [Google Scholar] [CrossRef]
- Park, M.; Tran, D.Q.; Jung, D.; Park, S. Wildfire-Detection Method Using Densenet and Cyclegan Data Augmentation-Based Remote Camera Imagery. Remote Sens. 2020, 12, 3715. [Google Scholar] [CrossRef]
- Bjurling, O.; Granlund, R.; Alfredson, J.; Arvola, M.; Ziemke, T. Drone Swarms in Forest Firefighting: A Local Development Case Study of Multi-Level Human-Swarm Interaction. In Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, Tallinn, Estonia, 25–29 October 2020; Association for Computing Machinery: New York, NY, USA, 2020. [Google Scholar]
- Teixeira, T.; Dias, I.; Santos, J.; Vaz, M.; Baptista, J.S.; Guedes, J.C. Occupational Exposure and Health of Wildland Firefighters: Protocol for a Systematic Review. Int. J. Occup. Environ. Saf. 2024, 8, 1. [Google Scholar] [CrossRef]
- Shamseer, L.; Moher, D.; Clarke, M.; Ghersi, D.; Liberati, A.; Petticrew, M.; Shekelle, P.; Stewart, L. PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) 2015 Checklist: Recommended Items to Address in a Systematic Review Protocol *. BMJ 2015, 349, g7647. [Google Scholar] [CrossRef] [PubMed]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; Group, T.P. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. Syst. Rev. 2021, 10, 89. [Google Scholar] [CrossRef]
- National Heart, Lung, and Blood Institute. Study Quality Assessment Tools. Available online: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools (accessed on 13 June 2024).
- Adetona, A.M.; Martin, W.K.; Warren, S.H.; Hanley, N.M.; Adetona, O.; Zhang, J.J.; Simpson, C.; Paulsen, M.; Rathbun, S.; Wang, J.-S.; et al. Urinary Mutagenicity and Other Biomarkers of Occupational Smoke Exposure of Wildland Firefighters and Oxidative Stress. Inhal. Toxicol. 2019, 31, 73–87. [Google Scholar] [CrossRef]
- Adetona, O.; Dunn, K.; Hall, D.; Achtemeier, G.; Stock, A.; Naeher, L. Personal PM2.5 Exposure Among Wildland Firefighters Working at Prescribed Forest Burns in Southeastern United States. J. Occup. Environ. Hyg. 2011, 8, 503–511. [Google Scholar] [CrossRef] [PubMed]
- Adetona, O.; Simpson, C.D.; Li, Z.; Sjodin, A.; Antonia, M.; Naeher, L.P.; Sciences, O.H. Hydroxylated Polycyclic Aromatic Hydrocarbons as Biomarkers of Exposure to Wood Smoke in Wildland Firefighters. J. Expo. Sci. Environ. Epidemiol. 2017, 27, 78–83. [Google Scholar] [CrossRef] [PubMed]
- Reinhardt, T.E.; Ottmar, R.D. Baseline Measurements of Smoke Exposure among Wildland Firefighters. J. Occup. Environ. Hyg. 2004, 1, 593–606. [Google Scholar] [CrossRef] [PubMed]
- Swiston, J.R.; Davidson, W.; Attridge, S.; Li, G.T.; Brauer, M.; Van Eeden, S.F. Wood Smoke Exposure Induces a Pulmonary and Systemic Inflammatory Response in Firefighters. Eur. Respir. J. 2008, 32, 129–138. [Google Scholar] [CrossRef]
- Miranda, A.I.; Martins, V.; Cascão, P.; Amorim, J.H.; Valente, J.; Tavares, R.; Borrego, C.; Tchepel, O.; Ferreira, A.J.; Cordeiro, C.R.; et al. Monitoring of Firefighters Exposure to Smoke during Fire Experiments in Portugal. Environ. Int. 2010, 36, 736–745. [Google Scholar] [CrossRef] [PubMed]
- Navarro, K.M.; West, M.R.; O’Dell, K.; Sen, P.; Chen, I.-C.; Fischer, E.V.; Hornbrook, R.S.; Apel, E.C.; Hills, A.J.; Jarnot, A.; et al. Exposure to Particulate Matter and Estimation of Volatile Organic Compounds across Wildland Firefighter Job Tasks. Environ. Sci. Technol. 2021, 55, 11795–11804. [Google Scholar] [CrossRef] [PubMed]
- Navarro, K.M.; Fent, K.; Mayer, A.C.; Brueck, S.E.; Toennis, C.; Law, B.; Meadows, J.; Sammons, D.; Brown, S. Characterization of Inhalation Exposures at a Wildfire Incident during the Wildland Firefighter Exposure and Health Effects (WFFEHE) Study. Ann. Work Expo. Health 2023, 67, 1011–1017. [Google Scholar] [CrossRef] [PubMed]
- Wu, C.-M.; Song, C.; Chartier, R.; Kremer, J.; Naeher, L.; Adetona, O. Characterization of Occupational Smoke Exposure among Wildland Firefighters in the Midwestern United States. Environ. Res. 2021, 193, 110541. [Google Scholar] [CrossRef]
- Gaughan, D.M.; Piacitelli, C.A.; Chen, B.T.; Law, B.F.; Virji, M.A.; Edwards, N.T.; Enright, P.L.; Schwegler-Berry, D.E.; Leonard, S.S.; Wagner, G.R.; et al. Exposures and Cross-Shift Lung Function Declines in Wildland Firefighters. J. Occup. Environ. Hyg. 2014, 11, 591–603. [Google Scholar] [CrossRef]
- Naeher, L.P.; Barr, D.B.; Adetona, O.; Simpson, C.D. Urinary Levoglucosan as a Biomarker for Woodsmoke Exposure in Wildland Firefighters. Int. J. Occup. Environ. Health 2013, 19, 304–310. [Google Scholar] [CrossRef]
- Reisen, F.; Hansen, D.; Meyer, P. Exposure to Bushfire Smoke during Prescribed Burns and Wildfires: Firefighters’ Exposure Risks and Options. Environ. Int. 2011, 37, 314–321. [Google Scholar] [CrossRef] [PubMed]
- Navarro, K.M.; Cisneros, R.; Noth, E.M.; Balmes, J.R.; Hammond, S.K. Occupational Exposure to Polycyclic Aromatic Hydrocarbon of Wildland Firefighters at Prescribed and Wildland Fires. Environ. Sci. Technol. 2017, 51, 6461–6469. [Google Scholar] [CrossRef] [PubMed]
- Navarro, K.M.; Cisneros, R.; Schweizer, D.; Chowdhary, P.; Noth, E.M.; Balmes, J.R.; Hammond, S.K. Incident Command Post Exposure to Polycyclic Aromatic Hydrocarbons and Particulate Matter during a Wildfire. J. Occup. Environ. Hyg. 2019, 16, 735–744. [Google Scholar] [CrossRef] [PubMed]
- Cherry, N.; Broznitsky, N.; Fedun, M.; Kinniburgh, D.; Shum, M.; Tiu, S.; Zadunayski, T.; Zarft, M.; Zhang, X. Exposures to Polycyclic Aromatic Hydrocarbons and Their Mitigation in Wildland Firefighters in Two Canadian Provinces. Ann. Work Expo. Health 2023, 67, 354–365. [Google Scholar] [CrossRef] [PubMed]
- Barros, B.; Paiva, A.M.; Oliveira, M.; Alves, S.; Esteves, F.; Fernandes, A.; Vaz, J.; Slezakova, K.; Costa, S.; Teixeira, J.P.; et al. Baseline Data and Associations between Urinary Biomarkers of Polycyclic Aromatic Hydrocarbons, Blood Pressure, Hemogram, and Lifestyle among Wildland Firefighters. Front. Public. Health 2024, 12, 1338435. [Google Scholar] [CrossRef] [PubMed]
- Miranda, A.I.; Martins, V.; Casco, P.; Amorim, J.H.; Valente, J.; Borrego, C.; Ferreira, A.J.; Cordeiro, C.R.; Viegas, D.X.; Ottmar, R. Wildland Smoke Exposure Values and Exhaled Breath Indicators in Firefighters. J. Toxicol. Environ. Health Part A Curr. Issues 2012, 75, 831–843. [Google Scholar] [CrossRef] [PubMed]
- Hejl, A.M.; Adetona, O.; Diaz-Sanchez, D.; Carter, J.D.; Commodore, A.A.; Rathbun, S.L.; Naeher, L.P. Inflammatory Effects of Woodsmoke Exposure among Wildland Firefighters Working at Prescribed Burns at the Savannah River Site, SC. J. Occup. Environ. Hyg. 2013, 10, 173–180. [Google Scholar] [CrossRef] [PubMed]
- Dunn, K.H.; Shulman, S.; Stock, A.L.; Naeher, L.P. Personal Carbon Monoxide Exposures among Firefighters at Prescribed Forest Burns in the Southeastern United States. Arch. Environ. Occup. Health 2013, 68, 55–59. [Google Scholar] [CrossRef] [PubMed]
- Henn, S.A.; Butler, C.; Li, J.; Sussell, A.; Hale, C.; Broyles, G.; Reinhardt, T. Carbon Monoxide Exposures among U.S. Wildland Firefighters by Work, Fire, and Environmental Characteristics and Conditions. J. Occup. Environ. Hyg. 2019, 16, 793–803. [Google Scholar] [CrossRef]
- Adetona, A.M.; Adetona, O.; Chartier, R.T.; Paulsen, M.H.; Simpson, C.D.; Rathbun, S.L.; Naeher, L.P. Differences in Fine Particle Exposure and Estimated Pulmonary Ventilation Rate with Respect to Work Tasks of Wildland Firefighters at Prescribed Burns: A Repeated Measures Study. Ann. Work Expo. Health 2022, 66, 985–997. [Google Scholar] [CrossRef]
- Neitzel, R.; Naeher, L.P.; Paulsen, M.; Dunn, K.; Stock, A.; Simpson, C.D. Biological Monitoring of Smoke Exposure among Wildland Firefighters: A Pilot Study Comparing Urinary Methoxyphenols with Personal Exposures to Carbon Monoxide, Particular Matter, and Levoglucosan. J. Expo. Sci. Environ. Epidemiol. 2009, 19, 349–358. [Google Scholar] [CrossRef] [PubMed]
- Adetona, O.; Simpson, C.; Onstad, G.; Naeher, L. Exposure of Wildland Firefighters to Carbon Monoxide, Fine Particles, and Levoglucosan. Ann. Occup. Hyg. 2013, 57, 979–991. [Google Scholar] [CrossRef] [PubMed]
- Adetona, O.; Zhang, J.J.; Hall, D.B.; Wang, J.-S.; Vena, J.E.; Naeher, L.P. Occupational Exposure to Woodsmoke and Oxidative Stress in Wildland Firefighters. Sci. Total Environ. 2013, 449, 269–275. [Google Scholar] [CrossRef] [PubMed]
- Cherry, N.; Beach, J.; Galarneau, J.-M. Are Inflammatory Markers an Indicator of Exposure or Effect in Firefighters Fighting a Devastating Wildfire? Follow-up of a Cohort in Alberta, Canada. Ann. Work Expo. Health 2021, 65, 635–648. [Google Scholar] [CrossRef] [PubMed]
- Teixeira, J.; Bessa, M.J.; Delerue-Matos, C.; Sarmento, B.; Santos-Silva, A.; Rodrigues, F.; Oliveira, M. Firefighters’ Personal Exposure to Gaseous PAHs during Controlled Forest Fires: A Case Study with Estimation of Respiratory Health Risks and in Vitro Toxicity. Sci. Total Environ. 2024, 908, 168364. [Google Scholar] [CrossRef] [PubMed]
- Rothman, N.; Correa-Villaseńor, A.; Patrick Ford, D.; Poirier, M.C.; Haas, R.; Hansen, J.A.; O’Toole, T.; Strickland, P.T. Contribution of Occupation and Diet to White Blood Cell Polycyclic Aromatic Hydrocarbon-DNA Adducts in Wildland Firefighters. Cancer Epidemiol. Biomark. Prev. 1993, 2, 341–347. [Google Scholar]
- Navarro, K.M.; Kleinman, M.T.; Mackay, C.E.; Reinhardt, T.E.; Balmes, J.R.; Broyles, G.A.; Ottmar, R.D.; Naher, L.P.; Domitrovich, J.W. Wildland Firefighter Smoke Exposure and Risk of Lung Cancer and Cardiovascular Disease Mortality. Environ. Res. 2019, 173, 462–468. [Google Scholar] [CrossRef] [PubMed]
- Barbosa, J.V.; Alvim-Ferraz, M.C.M.; Martins, F.G.; Sousa, S.I.V. Occupational Exposure of Firefighters to Hazardous Pollutants during Prescribed Fires in Portugal. Chemosphere 2024, 352, 141355. [Google Scholar] [CrossRef] [PubMed]
- Serra, A.; Mocci, F.; Sanna Randaccio, F. Pulmonary Function in Sardinian Fire Fighters. Am. J. Ind. Med. 1996, 30, 78–82. [Google Scholar] [CrossRef]
- Betchley, C.; Koenig, J.Q.; Van Belle, G.; Checkoway, H.; Reinhardt, T. Pulmonary Function and Respiratory Symptoms in Forest Firefighters. Am. J. Ind. Med. 1997, 31, 503–509. [Google Scholar] [CrossRef]
- Almeida, A.G.; Duarte, R.; Mieiro, L.; Paiva, A.C.; Rodrigues, A.M.; Almeida, M.H.; Bárbara, C. Pulmonary Function in Portuguese Firefighters. Rev. Port. Pneumol. 2007, XIII, 149–157. [Google Scholar] [CrossRef]
- Gianniou, N.; Giannakopoulou, C.; Dima, E.; Kardara, M.; Katsaounou, P.; Tsakatikas, A.; Roussos, C.; Koulouris, N.; Rovina, N. Acute Effects of Smoke Exposure on Airway and Systemic Inflammation in Forest Firefighters. J. Asthma Allergy 2018, 11, 81–88. [Google Scholar] [CrossRef] [PubMed]
- Wu, C.-M.; Adetona, A.; Song, C.; Naeher, L.; Adetona, O. Measuring Acute Pulmonary Responses to Occupational Wildland Fire Smoke Exposure Using Exhaled Breath Condensate. Physiol. Behav. 2020, 176, 139–148. [Google Scholar] [CrossRef] [PubMed]
- Adetona, O.; Hall, D.; Naeher, L. Lung Function Changes in Wildland Firefighters Working at Prescribed Burns. Inhal. Toxicol. 2011, 23, 835–841. [Google Scholar] [CrossRef] [PubMed]
- Oliveira, M.; Costa, S.; Vaz, J.; Fernandes, A.; Slezakova, K.; Delerue-Matos, C.; Teixeira, J.P.; Carmo Pereira, M.; Morais, S. Firefighters Exposure to Fire Emissions: Impact on Levels of Biomarkers of Exposure to Polycyclic Aromatic Hydrocarbons and Genotoxic/Oxidative-Effects. J. Hazard. Mater. 2020, 383, 121179. [Google Scholar] [CrossRef] [PubMed]
- Niyatiwatchanchai, N.; Pothirat, C.; Chaiwong, W.; Liwsrisakun, C.; Phetsuk, N.; Duangjit, P.; Choomuang, W. Short-Term Effects of Air Pollutant Exposure on Small Airway Dysfunction, Spirometry, Health-Related Quality of Life, and Inflammatory Biomarkers in Wildland Firefighters: A Pilot Study. Int. J. Environ. Health Res. 2023, 33, 850–863. [Google Scholar] [CrossRef] [PubMed]
- Dvornik, A.A.; Dvornik, A.M.; Korol, R.A.; Shamal, N.V.; Gaponenko, S.O.; Bardyukova, A.V. Potential Threat to Human Health during Forest Fires in the Belarusian Exclusion Zone. Aerosol Sci. Technol. 2018, 52, 923–932. [Google Scholar] [CrossRef]
- ACGIH. Limites de Exposição Para Substâncias Químicas e Agentes Físicos & Índices Biológicos de Exposição; 2008. [Google Scholar]
- Austin, C. Wildland Firefighter Health Risks and Respiratory Protection: Risques Pour la Santé des Pompiers Forestiers et Protection Respiratoire; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST): Montreal, QC, Canada, 2008; ISBN 9782896312962. [Google Scholar]
- Baxter, C.S.; Ross, C.S.; Lockey, J.E. Characterization of Firefighter Smoke Exposure. Fire Technol. 2014, 50, 993–1019. [Google Scholar] [CrossRef]
- Materna, B.L.; Koshland, C.P.; Harrison, R.J.; Materna, B.L.; Koshland, C.P.; Harrison, R.J. Carbon Monoxide Exposure in Wildland Firefighting: A Comparison of Monitoring Methods Carbon Monoxide Exposure in Wildland Firefighting: A Comparison of Monitoring Methods. J. Occup. Environ. Hyg. 2011, 8, 0898. [Google Scholar] [CrossRef]
- Venkatraman, G.; Giribabu, N.; Mohan, P.S.; Muttiah, B.; Govindarajan, V.K.; Alagiri, M.; Abdul Rahman, P.S.; Karsani, S.A. Environmental Impact and Human Health Effects of Polycyclic Aromatic Hydrocarbons and Remedial Strategies: A Detailed Review. Chemosphere 2024, 351, 141227. [Google Scholar] [CrossRef]
- Mallah, M.A.; Changxing, L.; Mallah, M.A.; Noreen, S.; Liu, Y.; Saeed, M.; Xi, H.; Ahmed, B.; Feng, F.; Mirjat, A.A.; et al. Polycyclic Aromatic Hydrocarbon and Its Effects on Human Health: An Overeview. Chemosphere 2022, 296, 133948. [Google Scholar] [CrossRef]
- CDC Polycyclic Aromatic Hydrocarbons (PAHs). Available online: https://wwwn.cdc.gov/TSP/ToxFAQs/ToxFAQsDetails.aspx?faqid=121&toxid=25 (accessed on 27 January 2024).
- Genovesi, M.G.; Tashkin, D.P.; Chopra, S.; Morgan, M.; McElroy, C. Transient Hypoxemia in Firemen Following Inhalation of Smoke. Chest 1977, 71, 441–444. [Google Scholar] [CrossRef]
- Haponik, E.F. Clinical Smoke Inhalation Injury: Pulmonary Effects. Occup. Med. 1993, 8, 430–468. [Google Scholar]
- Witt, M.; Goniewicz, M.; Pawłowski, W.; Goniewicz, K. Analysis of the Impact of Harmful Factors in the Workplace on Functioning of the Respiratory System of Firefighters. Ann. Agric. Environ. Med. 2017, 24, 406–410. [Google Scholar] [CrossRef] [PubMed]
- Orysiak, J.; Młynarczyk, M.; Piec, R.; Jakubiak, A. Lifestyle and Environmental Factors May Induce Airway and Systemic Inflammation in Firefighters. Environ. Sci. Pollut. Res. 2022, 29, 73741–73768. [Google Scholar] [CrossRef]
- Viner, B.; Jannik, T.; Stone, D.; Hepworth, A.; Naeher, L.; Adetona, O.; Blake, J.; Eddy, T. Modelling and Mitigating Dose to Firefighters from Inhalation of Radionuclides in Wildland Fire Smoke. Int. J. Wildland Fire 2015, 24, 723–733. [Google Scholar] [CrossRef]
- Abreu, A.; Costa, C.; Pinho e Silva, S.; Morais, S.; do Carmo Pereira, M.; Fernandes, A.; Moraes de Andrade, V.; Teixeira, J.P.; Costa, S. Wood Smoke Exposure of Portuguese Wildland Firefighters: DNA and Oxidative Damage Evaluation. J. Toxicol. Environ. Health Part A Curr. Issues 2017, 80, 596–604. [Google Scholar] [CrossRef]
- EU-OSHA—2024 Work-Related Cancer. Available online: https://osha.europa.eu/en/themes/work-related-.diseases/work-related-cancer (accessed on 27 January 2024).
- Evangeliou, N.; Balkanski, Y.; Cozic, A.; Hao, W.M.; Møller, A.P. Wildfires in Chernobyl-Contaminated Forests and Risks to the Population and the Environment: A New Nuclear Disaster about to Happen? Environ. Int. 2014, 73, 346–358. [Google Scholar] [CrossRef]
- Gill, B.; Britz-McKibbin, P. Biomonitoring of Smoke Exposure in Firefighters: A Review. Curr. Opin. Environ. Sci. Health 2020, 15, 57–65. [Google Scholar] [CrossRef]
- Uprety, S.; Caglio, J.; Ho, M.; Chio, C.H.; Mckeefery, S.; Goh, J.H.; Marcellin, M.; Melde, K. A Telemetry System for Firefighters. In Proceedings of the International Telemetering Conference, Las Vegas, NV, USA, 26–29 October 2009; Volume 45. [Google Scholar]
- Barbosa, J.V.; Farraia, M.; Branco, P.T.B.S.; Alvim-Ferraz, M.C.M.; Martins, F.G.; Annesi-Maesano, I.; Sousa, S.I.V. The Effect of Fire Smoke Exposure on Firefighters’ Lung Function: A Meta-Analysis. Int. J. Environ. Res. Public Health 2022, 19, 16799. [Google Scholar] [CrossRef]
- CDC Carbon Monoxide. Available online: https://www.cdc.gov/niosh/npg/npgd0105.html (accessed on 20 December 2019).
- Bott, R.C.; Kirk, K.M.; Logan, M.B.; Reid, D.A. Diesel Particulate Matter and Polycyclic Aromatic Hydrocarbons in Fire Stations. Environ. Sci. Process Impacts 2017, 19, 1320–1326. [Google Scholar] [CrossRef] [PubMed]
- Caton, S.E.; Hakes, R.S.P.; Gorham, D.J.; Zhou, A.; Gollner, M.J. Review of Pathways for Building Fire Spread in the Wildland Urban Interface Part I: Exposure Conditions. Fire Technol. 2017, 53, 429–473. [Google Scholar] [CrossRef]
- Kganyago, M.; Shikwambana, L. Assessment of the Characteristics of Recent Major Wildfires in the USA, Australia and Brazil in 2018–2019 Using Multi-Source Satellite Products. Remote Sens. 2020, 12, 1803. [Google Scholar] [CrossRef]
- De Castro, C.F.; Serra, G.; Parola, J.; Reis, J.; Lourenço, L.; Correia, S. Combate a Incêndios Florestais; Escuela Nacional de Bomberos: Tegucigalpa, Honduras, 2003; Volume XIII, ISBN 9728792131. [Google Scholar]
- de Carvalho, J.B.; Lopes, J.P. Classificação de Incêndios Florestais—Manual Do Utilizador; Escuela Nacional de Bomberos: Tegucigalpa, Honduras, 2001; ISBN 972-8097-34-4. [Google Scholar]
- Department of Homeland Security Science and Technology Directorate. Wildland Firefighter Respiratory Protection. 2018. Available online: https://www.dhs.gov/science-and-technology/saver/respiratory-protection-wildland-firefighting (accessed on 15 January 2024).
- Autoridade Nacional de Emergência e Proteção Civil. Incêndios Florestais. 2010. Available online: https://prociv.gov.pt/pt/legislacao/ (accessed on 15 January 2024).
- CDC HEAT-RELATED ILLNESSES 2017. Available online: https://www.cdc.gov/niosh/topics/heatstress/heatrelillness.html (accessed on 15 March 2024).
- Savioli, G.; Zanza, C.; Longhitano, Y.; Nardone, A.; Varesi, A.; Ceresa, I.F.; Manetti, A.C.; Volonnino, G.; Maiese, A.; La Russa, R. Heat-Related Illness in Emergency and Critical Care: Recommendations for Recognition and Management with Medico-Legal Considerations. Biomedicines 2022, 10, 2542. [Google Scholar] [CrossRef] [PubMed]
- Kales, S.N.; Soteriades, E.S.; Christophi, C.A.; Christiani, D.C. Emergency duties and deaths from heart disease among firefighters in the United States. N. Engl. J. Med. 2007, 356, 1207–1215. [Google Scholar] [CrossRef] [PubMed]
- Marks, A.N.; Sol, J.A.; Domitrovich, J.W.; West, M.R.; Ruby, B.C. Total Energy Intake and Self-Selected Macronutrient Distribution During Wildland Fire Suppression. Wilderness Environ. Med. 2020, 31, 188–196. [Google Scholar] [CrossRef] [PubMed]
- Bal, E.; Arslan, O.; Tavacioglu, L. Prioritization of the Causal Factors of Fatigue in Seafarers and Measurement of Fatigue with the Application of the Lactate Test. Saf. Sci. 2015, 72, 46–54. [Google Scholar] [CrossRef]
- Mamouei, M.; Budidha, K.; Baishya, N.; Qassem, M.; Kyriacou, P. Comparison of Wavelength Selection Methods for In-Vitro Estimation of Lactate: A New Unconstrained, Genetic Algorithm-Based Wavelength Selection. Sci. Rep. 2020, 10, 16905. [Google Scholar] [CrossRef] [PubMed]
- Doğan, N.; Savrun, A.; Levent, S.; Günaydin, G.P.; Çelik, G.K.; Akküçük, H.; Çevik, Y. Can Initial Lactate Levels Predict the Severity of Unintentional Carbon Monoxide Poisoning? Hum. Exp. Toxicol. 2015, 34, 324–329. [Google Scholar] [CrossRef]
- Akintola, A.A.; van de Pol, V.; Bimmel, D.; Maan, A.C.; van Heemst, D. Comparative Analysis of the Equivital EQ02 Lifemonitor with Holter Ambulatory ECG Device for Continuous Measurement of ECG, Heart Rate, and Heart Rate Variability: A Validation Study for Precision and Accuracy. Front. Physiol. 2016, 7, 1–14. [Google Scholar] [CrossRef]
- Tharion, W.J.; Buller, M.J.; Clements, C.M.; Dominguez, M.D.; Sampsonis, M.C.; Mullen, S.P.; Karis, A.J.; Potter, A.W. Human Factors Evaluation of the Hidalgo Equivital TM Eq-02; U.S. Army Research Institute of Environmental Medicine: Natick, MA, USA, 2013; ISBN 5082334735. [Google Scholar]
- Henrique, L.; Messias, D.; Elias, E.; Polisel, C.; Manchado-gobatto, B. Advances of the Reverse Lactate Threshold Test: Non-Invasive Proposal Based on Heart Rate and Effect of Previous Cycling Experience. PLoS ONE 2018, 13, e0194313. [Google Scholar] [CrossRef]
- Huang, S.C.; Casaburi, R.; Liao, M.F.; Liu, K.C.; Chen, Y.J.; Fu, T.C.; Su, H.R. Noninvasive Prediction of Blood Lactate through a Machine Learning-Based Approach. Sci. Rep. 2019, 9, 2180. [Google Scholar] [CrossRef]
- Beneke, R.; Leithäuser, R.M.; Ochentel, O. Blood Lactate Diagnostics in Exercise Testing and Training. Int. J. Sports Physiol. Perform. 2011, 6, 8–24. [Google Scholar] [CrossRef]
- Campbell, I. Intermediary Metabolism. Anaesth. Intensive Care Med. 2017, 18, 147–149. [Google Scholar] [CrossRef]
- Dennison, K.J.; Mullineaux, D.R.; Yates, J.W.; Abel, M.G. The Effect of Fatigue and Training Status on Firefighter Performance. J. Strength Cond. Res. 2012, 26, 1101–1109. [Google Scholar] [CrossRef]
- Fasching, P.; Rinnerhofer, S.; Wultsch, G.; Birnbaumer, P.; Hofmann, P. The First Lactate Threshold Is a Limit for Heavy Occupational Work. J. Funct. Morphol. Kinesiol. 2020, 5, 66. [Google Scholar] [CrossRef] [PubMed]
- Fasching, P.; Rinnerhofer, S.; Wultsch, G.; Tschakert, G.; Hofmann, P.; von Duvillard, S. First Lactate Turn Point: A Limiting Factor for Heavy Occupational Work. Med. Sci. Sports Exerc. 2014, 46, 707. [Google Scholar] [CrossRef]
- Foxdal, P.; Sjödin, A.; Östman, B.; Sjödin, B. The Effect of Different Blood Sampling Sites and Analyses on the Relationship~ between Exercise Intensity and 4.0 Mmol ·1- Blood Lactate Concentration. Eur. J. Appl. Physiol. Occup. Physiol. 1991, 63, 52–54. [Google Scholar] [CrossRef]
- USFA. Summary Incident Report. Available online: https://apps.usfa.fema.gov/firefighter-.fatalities/reportBuilder/data?deathDt=01%2F06%2F2021 (accessed on 17 March 2024).
- National Joint Council for Local Authority Fire and Rescue Services. Firefighter Fitness: Best Practice Guide. 2016. Available online: https://www.fbu.org.uk/circulars/2016hoc0147mw/firefighter-fitness-best-practice-guide (accessed on 17 March 2024).
Database | Keywords |
---|---|
SCOPUS | TITLE-ABS-KEY (firefight* OR fireman) AND (“Forest Fire*” OR “Wildland fire*”) AND (“Chemical hazards” OR “Chemical Agentª” OR Fatigue OR “Physiological Response” OR “Physiological Monitoring” OR “Occupational Exposure” OR “Occupational Health” OR “Occupational Hygiene” OR “Work Injuries” OR “Professional Diseases” OR “Occupational Safety”) |
Web of Science | TI=(Firefight* OR FIREMAN) AND TI=(“Forest Fireª” OR “Wildland fireª”) AND ALL=((“Chemical hazards” OR “Chemical Agentª” OR Fatigue OR “Physiological Response” OR “Physiological Monitoring” OR “Occupational Exposure” OR “Occupational Health” OR “Occupational Hygiene” OR “Work Injuries” OR “Professional Diseases” OR “Occupational Safety”)) |
Pubmed | (Firefight*[Title/Abstract] OR FIREMAN[Title/Abstract]) AND (“Forest Fire*”[Title/Abstract] OR “Wildland fire*”[Title/Abstract]) AND (“Chemical hazards” OR “Chemical Agent*” OR Fatigue OR “Physiological Response” OR “Physiological Monitoring” OR “Occupational Exposure” OR “Occupational Health” OR “Occupational Hygiene” OR “Work Injuries” OR “Professional Diseases” OR “Occupational Safety”) |
Science Direct | Title, abstract, keywords: ((“Firefighters* OR Fireman”) AND (“Forest Fire*” OR “Wildland fire”)) AND (“Chemical hazards” OR “Chemical Agent*” OR “Fatigue” OR “Physiological Response” OR “Physiological Monitoring” OR “Occupational Exposure” OR “Occupational Health” OR “Occupational Hygiene” OR “Work Injuries” OR “Professional Diseases” OR “Occupational Safety”)) |
Academic Search Complete | TI (Firefighters* OR Fireman) AND TI (Forest Fire* OR Wildland fire) AND (TX (chemical hazard OR chemical agents*) OR TX (Fatigue OR Physiological Response OR Physiological Monitoring OR Occupational Exposure OR Occupational Health OR Occupational Hygiene OR Work Injuries OR Professional Diseases OR Occupational Safety)) |
Filter | Selected |
---|---|
Date | No Restrictions |
Language | English |
Document Type | Article |
Source Type | Journal |
Functional Groups | Chemical | Article |
---|---|---|
Volatile Organic Compounds (VOC) | Total VOC | [48,49,50] |
Black Carbon (BC) | [51] | |
Organic Carbon | [52] | |
Levoglucosan (LG) | [45,52,53] | |
Formaldehyde | [46,54] | |
Acrolein | [46] | |
Benzene | [46] | |
Polycyclic Aromatic Hydrocarbons (PAH) | [50,55,56,57,58] | |
Nitrogen Dioxide (NO2) | [48,59] | |
Gases | Carbon Monoxide (CO) | [11,43,44,45,46,47,48,52,54,60,61,62,63,64,65,66] |
Carbon Dioxide (CO2) | [46] | |
Particles | Fine particles | [31,44,45,47,48,51,52,53,54,56,60,63,64,65,66,67] |
Respirable particles | ||
Total particulate matter | [52] |
Variable | Article |
---|---|
Cancer | [68,69,70,71] |
Cardiovascular | [70] |
Respiratory | [43,47,52,59,60,67,72,73,74,75,76,77,78] |
Functional Groups | Chemical | Above TLV | Below TLV | TLV |
---|---|---|---|---|
Volatile Organic Compounds (VOC) | Total VOC | [48,49] | OMS: 600 µg/m3 | |
Organic Carbon | [52] | -------- | ||
Levoglucosan (LG) | [52] | |||
Formaldehyde | [46] | OSHA (EUA): 0.75 ppm como TWA NIOSH (EUA): 0.016 ppm como TWA | ||
Acrolein | [46,54] | |||
Benzene | [46] | OSHA (EUA): 1 ppm TWA NIOSH (EUA): 0.1 ppm TWA | ||
Polycyclic Aromatic Hydrocarbons (PAH) | [50,54,57] | NIOSH: 0.1 mg/m3 | ||
Nitrogen Dioxide (NO2) | [48,59] | |||
Gases | Carbon Monoxide (CO) | [43,46,47,48,54,60,61,62] | [44,45,52,64,65,66] | OSHA: 50 mg/m3 TWA NIOSH: 35 ppm TWA ACGIH: 25 ppm TWA |
Carbon Dioxide (CO2) | [46] | NIOSH REL: 5000 ppm (9000 mg/m3) TWA, 30,000 ppm (54,000 mg/m3) STEL OSHA PEL: 5000 ppm (9000 mg/m3) TWA 1989 OSHA PEL: 10,000 ppm (18,000 mg/m3) TWA, 30,000 ppm (54,000 mg/m3) STEL 1993–1994 ACGIH TLV: 5000 ppm (9000 mg/m3) TWA, 30,000 ppm (54,000 mg/m3) STEL | ||
Particles | Fine particles | [47,48,56,60,63,67] | [45,53,66] | -------- |
Respirable particles | [51,52,54,63] | NIOSH: 3 mg/m3 | ||
Total particulate matter | [52] | NIOSH: 10 mg/m3 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Teixeira, T.; Almeida, L.; Dias, I.; Baptista, J.S.; Santos, J.; Vaz, M.; Guedes, J. Occupational Chemical Exposure and Health Status of Wildland Firefighters at the Firefront: A Systematic Review. Safety 2024, 10, 60. https://doi.org/10.3390/safety10030060
Teixeira T, Almeida L, Dias I, Baptista JS, Santos J, Vaz M, Guedes J. Occupational Chemical Exposure and Health Status of Wildland Firefighters at the Firefront: A Systematic Review. Safety. 2024; 10(3):60. https://doi.org/10.3390/safety10030060
Chicago/Turabian StyleTeixeira, Tatiana, Liliana Almeida, Isabel Dias, João Santos Baptista, Joana Santos, Mário Vaz, and Joana Guedes. 2024. "Occupational Chemical Exposure and Health Status of Wildland Firefighters at the Firefront: A Systematic Review" Safety 10, no. 3: 60. https://doi.org/10.3390/safety10030060
APA StyleTeixeira, T., Almeida, L., Dias, I., Baptista, J. S., Santos, J., Vaz, M., & Guedes, J. (2024). Occupational Chemical Exposure and Health Status of Wildland Firefighters at the Firefront: A Systematic Review. Safety, 10(3), 60. https://doi.org/10.3390/safety10030060