Abstract
Background:
Welding is a common industrial process and is harmful to welders' health.
Objective:
To determine the effect of toxic gases and metal fumes produced during 3 welding processes on welders' incidence of respiratory symptoms and pulmonary function.
Methods:
This cross-sectional study was conducted in an Iranian shipbuilding industrial factory in 2018. Using the simple census method, 60 welders were selected as the exposed group. 45 staff members of the administrative unit were also recruited to be served as the control group. Welders' demographic data and respiratory complaints were collected employing a questionnaire. Fumes and gases produced were sampled from the welders' respiratory tract and analyzed by standard methods suggested by the National Institute of Occupational Safety and Health (NIOSH). Pulmonary function test was also performed for each participant.
Results:
The prevalence of respiratory symptoms in all welders was significantly (p<0.05) higher than the control group. The mean FVC, FEV1 and FEV1/FVC measured in welders involved in all 3 processes were significantly lower than those recorded in the control group. The spirometry pattern in welders involved in flux cored arc welding and shielded metal arc welding was obstructive; that in those involved in gas metal arch welding was mixed (obstructive and restrictive pattern).
Conclusion:
Exposure to welding fumes and gases was associated with pulmonary function deterioration. Welders involved in gas metal arch welding had a prevalence of pulmonary disorders compared with those involved in gas metal arch welding and flux cored arc welding.
Keywords: Welding, Respiratory function tests, Spirometry, Signs and symptoms, respiratory
TAKE-HOME MESSAGE
Welding is a common industrial process. Welders are exposed to various gases and metal fumes produced during the process.
Gases and metal fumes produced during gas metal arc welding are significantly higher than those produced during shielded metal arc welding and flux cored arc welding.
Welders involved in gas metal arc welding had worse pulmonary function test results and higher prevalence of respiratory symptoms compared with the unexposed group and also welders involved in shielded metal arc welding and flux cored arc welding.
Introduction
Compared with gases, noise, heat, and the ultraviolet radiation, fumes produced during the welding process have the most deleterious effects on the welders' health.1,2 Approximately, 500000 full-time employees are working in the US in the capacity of welding operators.3 There are 5.5 million welding-related businesses in the Europe.4 There are more than 80 types of welding, but arc welding is the most commonly used type.5,6
Shielded metal arc welding (SMAW), gas metal arc welding (GMAW), and flux cored arc welding (FCAW) are the most commonly used welding techniques.7 In SMAW, the protection of the molten pool is covered by the electrode coatings. Nowadays, SMAW is the most frequently used technique among other types of arc welding processes.8 The GMAW is performed through the heat produced by the arc between the filler electrode and the work piece. In this type of welding, gas is used as a guard and covering around the arc to prevent contamination by welding with air.9 FCAW with a flux cored wire is very similar to metal active gas (MAG) welding, except that instead of using a solid core wire, a special type of welded wire is employed in the form of a hollow tube that contains special powders.10
The concentration of the fumes produced during a welding operation is a function of the welding type, the type of alloy of the work piece, the electrical current and voltage used, the temperature created, the chemical reactions taken place, and the elements used in the electrode.11 Regarding the pathogenic effects of fumes produced in the welding process, the American Conference of Governmental Industrial Hygienists (ACGIH®)12 has suggested a threshold limit value-time-weighted average (TLV-TWA) for fumes of 5 mg/m3.
Approximately, 90% to 95% of fumes are emitted from the filler metal of the consumed electrodes.13 At least 13 metal fumes are emitted during a welding process.14 The most common metals found in the welding fusion include chromium, manganese, magnesium, copper, iron, and aluminum. These metals are important in terms of their biological and toxicological activities. For example, iron causes lung cirrhosis in welders; manganese may cause an inflammatory response and decrease β-glucuronidase activity in the lung;15 and chromium is known as a carcinogen.16
Incidence and prevalence of respiratory symptoms are higher among welders. This might be attributed to the presence of various gases such as CO, CO2, and NO2 and metal fumes such as manganese, chromium, aluminum and nickel produced in the welding process.17
Creating very high concentrations of O3, welding can also lead to obstructive pulmonary diseases.18 CO is a lethal poison and can cause serious toxicity in welders.19 Exposure to high concentrations of NO2 and NO can cause acute inflammation and pulmonary edema.20
Welding is one of the most common occupations associated with occupational lung disease.21 Several studies have so far reported the association between exposure to gases and welding fumes and increasing frequency of respiratory symptoms and decreasing pulmonary function.22-26 Occupational exposure to welding fumes is a major risk factor for chronic obstructive pulmonary disease (COPD).26
Toxic gases and fume particles produced during the welding process enter the respiratory system, leading to acute respiratory effects, including airway burning, chronic bronchitis, emphysema, lung fibrosis, pulmonary edema, cardiovascular disorders, neurobehavioral signs and symptoms, pneumonitis, severe allergy, asthma, emphysema and lung fibrosis.27-30 The exposure can also cause a significant decrease in spirometry indices—forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and FEV1/FVC.31,32
It seems reasonable to determine the level of welders' exposure to the fumes and toxic gases produced during welding. Iranian shipbuilding industry is growing steadily. The welding process is thus inevitable in terms of working conditions. The present study was conducted to measure the exposure of welders to metal fumes and toxic gases produced during three welding processes and to evaluate the associated changes in their spirometry indices.
Materials and Methods
The present cross-sectional study was conducted in 2018 in an Iranian shipbuilding industrial factory. Following a preliminary review of the industry, we decided to focus on toxic gases and fumes produced during SMAW, GMAW and FCAW—the three most commonly used welding types. Through a simple census, 60 male welders were selected as the exposed group; 45 male staff members working in administrative units were also recruited as the control group. The inclusion criteria consisted of not being a smoker; welding for at least six months for an average of three hours per day;20 having no record of pulmonary diseases at the time of employment and no chest surgery or pulmonary injury; no contraindication for spirometery (eg, any history of myocardial infarction or unstable angina during the last six weeks); no active hepatobiliary problem; no known abnormality in the thoracic aorta; and no uncontrolled hypertension. All of the above-mentioned criteria, except for being a welder, were also used for the inclusion of the control group. Respiratory mask was rarely used by the study participants.
Data Collection
Demographic and job profile characteristics such as age, height, weight, work experience in the current job, etc, were collected and recorded in a data sheet. In the present study, we decided to include all welders using all the three types of welding—GMAW, SMAW and FCAW. The number of welders was not high (n=66); six welders did not fulfill the criteria for entering the study and thus were excluded from the research, leaving data of 60 welders for analyses.
To assess the frequency of respiratory symptoms in study participants, we used the standard American Thoracic Society (ATS) Respiratory Symptoms Questionnaire in accordance with the advice of the American Lung Association. The questionnaire includes questions about the symptoms of respiratory disease (such as cough, sputum, wheezing and shortness of breath), smoking, and family and medical records.33
Metal Fumes and Gases
Sampling of metal fumes including the total fume and six metals (chromium, manganese, magnesium, copper, iron, and aluminum) at welding stations was performed by mixed cellulose ester (MCE) with a diameter of 37 mm, 0.84-μm pore-size, and discharge coefficient as 2 L/min from the respiratory tract. Method No. 7300 of the American National Institute of Occupational Safety and Health (NIOSH) was used to measure the amounts of these metals. After the preparation, fusion analysis was done with an inductively coupled plasma spectrometry (RL-Liberty model, Varian Medical Systems, Italy). Ozone sampling was done through glass fiber filters (GFF) with a diameter of 37 mm and discharge coefficient of 0.2 L/min with a sampling pump (SKC Co, USA) and based on method No. 214 of the OSHA. The UV-VIS spectrophotometer (SP-3000 Plus model, Japan) was used for analyzing ozone samples. The NIOSH method No. 6014 was used for NO and NO2 sampling from a UV-VIS spectrophotometer. Direct-reading devices were used to measure CO2 and CO emissions. These devices included 1372 CO meter and 1370 NDIR CO2 meter (TES Electrical Electronic Corp, Taiwan).
Spirometry
Pulmonary function test (PFT) was performed according to the standard guidelines using a calibrated MIR spirometry made in Italy. The measured parameters included FVC, FEV1 and FEV1/FVC. We employed the criteria set by the American Lung Association (ATS). FVC and FEV1 ≥80% predicted value and FEV1/FVC ≥75% predicted value were considered “normal.” PFT was performed for each participant for 3–8 times based on acceptability and repeatability criteria.
FEV1/FVC<75% predicted value, FVC≥80% and FEV1<80% predicted value indicate obstructive pattern; FEV1/FVC≥75% predicted value, FVC<80% and FEV1≥80% predicted value reflect restrictive pattern; and FEV1/FVC<75% predicted value, FVC<80% and FEV1<80% predicted value show a mixed pattern.34,35
Ethics
The objective of the study was explained to the study participants. They were assured that participating in the study is voluntarily and that their personal information will remain confidential. The participants signed a written informed consent to participate in the study.
Statistical Analysis
SPSS® for Windows® ver 21.0 was used for data analysis. Student's t test for paired data and one-way ANOVA were used for inferential statistical analysis. A p value <0.05 was considered statistically significant.
Results
We studied 60 welders and 45 administrative staff members working in a shipbuilding industry. They, respectively, had a mean age of 35.5 (SD 10.42) and 36.3 (SD 9.2) years. Their median work experience was 10 (IQR 7 to 14) and 12 (IQR 8 to 15) years, respectively. There was no significant difference between the two groups in terms of mean age, height, weight, and work experience (Table 1).
Table 1: Characteristics of the exposed and unexposed groups. Values are either mean (SD) or median (IQR). | ||||
Variables | Exposed group (n=60) | Unexposed group (n=45) | p value | |
Age (yrs) | 35.5 (10.4) | 36.3 (9.2) | 0.13 | |
Height (cm) | 170 (6.0) | 168 (4.3) | 0.52 | |
Weight (kg) | 72.3 (11.0) | 77.5 (7.0) | 0.20 | |
Work experience (yrs) | 10 (7 to 14) | 12 (8 to 15) | 0.07 |
The mean concentration of O3, NO2 and CO was significantly higher than the TLV-TWA set by the American Society for Industrial Hygiene (ACGIH) (Table 2). The mean concentrations of Mn, Al, Cu, Fe, and Cr were also significantly higher than the TLV-TWA (Table 3). The maximum concentrations of the gases and fumes were recorded in welders involved in GMAW.
Table 2: Mean (SD) concentration (ppm) of gases produced during various types of welding | |||||||
Gases | SMAW* | GMAW† | FCAW‡ | TLV-TWA§ | p value | ||
CO | 48.50 (9.19) | 55.13 (12.21) | 24.10 (8.16) | 25 | 0.03 | ||
NO | 7.50 (2.17) | 13.32 (3.76) | 3.85 (1.02) | 50 | 0.01 | ||
NO2 | 2.85 (1.14) | 3.32 (0.73) | 1.02 (0.23) | 0.2 | 0.12 | ||
O3 | 0.22 (0.06) | 0.31 (0.10) | 0.15 (0.04) | 0.05 | 0.35 | ||
CO2 | 4300.34 (1032.10) | 5086.03 (1535.47) | 2502.90 (751.44) | 5000 | 0.04 | ||
*Shielded metal arc welding; †Gas metal arc welding; ‡Flux cored arc welding; §Threshold limit value-time weighted average |
Table 3: Mean (SD) of concentration (mg/m3) of various metal fumes produced during various types of welding | |||||||
Fumes | SMAW* | GMAW† | FCAW‡ | TLV-TWA§ | p value | ||
Cr | 1.11 (0.33) | 3.75 (1.55) | 0.42 (0.07) | 0.5 | 0.02 | ||
Mn | 2.37 (0.64) | 2.93 (0.70) | 1.17 (0.39) | 0.2 | 0.41 | ||
Z | 1.08 (0.45) | 1.76 (0.59) | 0.93 (0.32) | 5.0 | 0.09 | ||
Cu | 0.23 (0.05) | 0.44 (0.16) | 0.18 (0.06) | 0.2 | 0.61 | ||
Fe | 5.43 (1.10) | 7.50 (2.85) | 3.22 (1.66) | 5.0 | 0.01 | ||
Al | 4.29 (1.63) | 5.52 (1.10) | 2.47 (0.89) | 5.0 | 0.16 | ||
Total fume | 5.88 (2.11) | 9.04 (3.20) | 4.84 (1.50) | 5.0 | 0.05 | ||
*Shielded metal arc welding; †Gas metal arc welding; ‡Flux cored arc welding; §Threshold limit value-time weighted average |
All respiratory symptoms studied were more frequent in the welders than the control group (Table 4). The prevalence of respiratory symptoms in welders involved in GMAW was significantly higher than that in those involved in SMAW and FCAW, so that more than 60% of GMAW welders suffered from cough with phlegm and more than half of them complained of asthma-like symptoms during the day. The prevalence of respiratory symptoms such as cough and phlegm in SMAW welders (47%) was higher than that in those involved FCAW (more than 20%).
Table 4: The prevalence of respiratory symptoms among the exposed and unexposed groups. Values are n (%). | ||||||
Respiratory Symptoms | Exposed group (n=60) | Unexposed group (n=45) | ||||
SMAW* (n=17) | GMAW† (n=21) | FCAW‡ (n=22) | ||||
Coughs | 8 (47) | 14 (67) | 5 (23) | 1 (2) | ||
Coughs with phlegm | 8 (47) | 13 (62) | 6 (27) | 1 (2) | ||
Wheezing | 3 (18) | 7 (33) | 2 (9) | — | ||
Shortness of breath | 6 (35) | 11 (52) | 4 (18) | — | ||
*Shielded metal arc welding; †Gas metal arc welding; ‡Flux cored arc welding |
The mean FVC, FEV1 and FEV1/FVC indices in welders were significantly lower than those measured in the control group (Table 5). GMAW welders had a worse condition than those involved in SMAW and FCAW.
Table 5: The results of pulmonary function test in the exposed and unexposed groups. Values are mean (SD) percent predicted values. | |||||||||
Welding types | Exposed group (n=60) | Unexposed group (n=45) | p value | ||||||
FVC | FEV1 | FEV1/FVC | FVC | FEV1 | FEV1/FVC | ||||
SMAW* | 80.8 (8.4) | 74.6 (9.4) | 73.5 (9.2) | 97.3 (12.8) | 93.1 (10.2) | 95.6 (7.4) | <0.001 | ||
GMAW† | 77.8 (9.2) | 73.6 (8.3) | 74.4 (7.2) | 97.3 (12.8) | 93.1 (10.2) | 95.6 (7.4) | <0.001 | ||
FCAW‡ | 85.7 (10.3) | 76.7 (8.8) | 74.1 (4.1) | 97.3 (12.8) | 93.1 (10.2) | 95.6 (7.4) | 0.003 | ||
*Shielded metal arc welding; †Gas metal arc welding; ‡Flux cored arc welding |
The frequency of abnormal spirometric patterns (obstructive, restrictive, and mixed) in GMAW welders was higher than that observed in SMAW and FCAW welders (Table 6); 57% of GMAW welders were one of the most abnormal spirometric patterns.
Table 6: Frequency (%) of respiratory disease patterns observed among the exposed and unexposed groups | ||||
Spirometry patterns | Exposed group (n=60) | Unexposed group (n=45) | ||
SMAW* (n=17) | GMAW† (n=21) | FCAW‡ (n=22) | ||
Normal | 10 (59) | 9 (43) | 18 (82) | 44 (98) |
Obstructive | 4 (24) | 5 (24) | 3 (14) | 1 (2) |
Restrictive | 2 (12) | 3 (14) | 1 (5) | 0 (0) |
Mixed | 1 (6) | 4 (19) | 0 (0) | 0 (0) |
*Shielded metal arc welding; †Gas metal arc welding; ‡Flux cored arc welding |
Discussion
We found that the amount of fume and gas produced and inhaled during welding was high. The welders were mainly exposed to NO2, CO and O3. The concentration of fumes and gases produced in the GMAW was higher than the other two types of welding studied. PFT indices were also more affected in GMAW welders. The mean concentration of gases and metal fumes produced in SMAW welding was significantly higher than that produced during FCAW. This difference was clearly reflected in spirometry parameters recorded in welders.
Our findings were similar to those reported by Popovice, who shows that the concentration of CO and CO2 produced during GMAW is higher than that produced during MMAW and SMAW.19 We showed that the CO, NO2 and O3 concentrations were higher than the acceptable occupational exposure limits (TLV-TWA). Mehrifar, et al, also showed that welders working in another steel industry are also exposed to concentrations of O3, CO and NO2 higher than the TLV-TWA.36
The prevalence of asthma and respiratory symptoms such as cough, phlegm, and wheezing was significantly higher in welders than in the control group. These results were consistent with the findings of other studies conducted in this region.37,38 The symptoms were more common among GMAW welders compared with those involved in FCAW and SMAW.
In a study conducted by Pourtaghi, et al, respiratory symptoms were significantly more prevalent in the welders of a production plant than a control group. The spirometry parameters in this occupational group were significantly lower than those of the control group, an observation consistent with the results of the present study.39 El-Zein, et al, studied the prevalence of respiratory and systemic symptoms in welders involved in various processes and showed that the prevalence of asthma, cough, wheezing, and asthma was 21.1% in GMAW welders, 17% in SMAW, and 1.5% in FCAW welders. The prevalence of flu-like, sore throat, fatigue, and contusion was associated with the severity of respiratory symptoms in the studied welders.40
In the present study, the mean of FVC, FEV1 and FEV1/FVC in welders was significantly lower than that in the studied administrative staff members. As the subjects in the two groups did not have any medical history of pulmonary disease, chest surgery, and cardiac/chest pain, the observed difference in PFT should be attributed to the exposure of welders to the gases and fumes. Rahimi Moghaddam, et al, showed that the mean spirometry indices in welders was significantly decreased after four years of work.41 Aminian, et al, also showed that the spirometry indices of welders significantly decreased over a five-year period in a car manufacturing plant. In this study, smoking welders had respiratory disease with mixed pattern; nonsmokers with pulmonary disease had mostly restrictive pattern.31
Hewett, et al, showed that the total fume concentration in lungs and airways of GMAW welders is 60% higher than that in SMAW welders. In other words, exposure to fumes produced during GMAW can lead to increased risk of pulmonary problems compared with exposure to fumes produced during SMAW.42
We found that most GMAW welders had PFT parameters in favor of obstructive and restrictive pulmonary diseases. This emphasizes use of protective equipment by GMAW welders to reduce the incidence of serious pulmonary diseases. PFT indices in SMAW and FCAW welders, though not normal, were better that the indices recorded in those involved in GMAW. These welders mostly suffered from pulmonary diseases with obstructive pattern.
Ghani, et al, in line with our observations, reported that the FVC, FEV1 and FEV1/FVC measured in GMAW and SMAW welders were significantly lower than those measured in the control group; the decrease observed in GMAW welders was significantly more than that observed in welders involved in SMAW.43 In another study, Minov, et al, examined spirometry indices in FCAW welders working in a steel industry. Other studies reported similar findings.44,45
Investigation into the welders suggests that there is a significant relationship between the occurrence of respiratory diseases such as chronic bronchitis, lung infection, asthma, and lung cancer with work history, duration of work per day, type of welding, and status of the workplace ventilation.46 In a study conducted on 15 welders with lung fibrosis, Buerke, et al, showed a significant positive correlation between the history of welding and the respiratory disturbances.47 In the study conducted by Meo, et al, welders with a work history of >5 years had a significant decrease in FVC, FEV1 and FEV1/FVC compared with the control group.48
In conclusion, we showed that welding, particularly GMAW, was associated with production of a high amount of gases and metal fumes, seriously deteriorated the pulmonary function of welders. Here, we just examined three types of welding. Other welding processes should be examined to better understand the situation and identify risks of respiratory pollutants among welders.
Acknowledgments
The authors would like to express their sincere thanks to the staff members of the shipbuilding factory where the study was conducted for their kind cooperation.
Conflicts of Interest
None declared.
Cite this article as: Mehrifar Y, Zamanian Z, Pirami H. Respiratory exposure to toxic gases and metal fumes produced by welding processes and pulmonary function tests. Int J Occup Environ Med 2019;1:40-49. doi: 10.15171/ijoem.2019.1540
References
- 1.Mulyana M, Adi NPP, Kurniawidjaja ML. et al. Lung function status of workers exposed to welding fume: a preliminary study. Indones Biomed J. 2016;8:37–42. [Google Scholar]
- 2.Rahmani A, Golbabaei F, Dehghan SF. et al. Assessment of the effect of welding fumes on welders' cognitive failure and health-related quality of life. Int J Occup Saf Ergon. 2016;22:426–32. doi: 10.1080/10803548.2016.1164499. [DOI] [PubMed] [Google Scholar]
- 3.Sriram K, Lin GX, Jefferson AM. et al. Modifying welding process parameters can reduce the neurotoxic potential of manganese-containing welding fumes. Toxicology. 2015;328:168–78. doi: 10.1016/j.tox.2014.12.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Amza G, Dobrotă D, Groza Dragomir M. et al. Research on environmental impact assessment of flame oxyacetylene welding processes. Metalurgija. 2013;52:457–60. [Google Scholar]
- 5.Keane M, Siert A, Stone S, Chen BT. Profiling stainless steel welding processes to reduce fume emissions, hexavalent chromium emissions and operating costs in the workplace. J Occup Environ Hyg. 2016;13:1–8. doi: 10.1080/15459624.2015.1072634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Sajedifar J, Kokabi AH, Dehghan SF. et al. Evaluation of operational parameters role on the emission of fumes. Ind Health. 2018;56:198–206. doi: 10.2486/indhealth.2017-0155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Keane M, Siert A, Stone S. et al. Selecting Processes to Minimize Hexavalent Chromium from Stainless Steel Welding: Eight welding processes/shielding gas combinations were assessed for generation of hexavalent chromium in stainless steel welding fumes. Weld J. 2012;91:241s–6. [PMC free article] [PubMed] [Google Scholar]
- 8.Prajapati P, Badheka VJ, Mehta KP. Hybridization of filler wire in multi-pass gas metal arc welding of SA516 Gr70 carbon steel. Materials and Manufacturing Processes. 2018;33:315–22. [Google Scholar]
- 9.Karadeniz E, Ozsarac U, Yildiz C. The effect of process parameters on penetration in gas metal arc welding processes. Materials & design. 2007;28:649–56. [Google Scholar]
- 10.Cheng F, Zhang S, Di X. et al. [Arc Characteristic and Metal Transfer of Pulse Current Horizontal Flux-Cored Arc Welding. ] Tianjin Daxue Xuebao. 2017;23:101–9. [in Chinese]. [Google Scholar]
- 11.Yarmohammadi H, Hamidvand E, Abdollahzadeh D. et al. Measuring concentration of welding fumes in respiratory zones of welders: An ergo-toxicological approach. Research Journal of Medical Sciences. 2016;10:111–5. [Google Scholar]
- 12. American Conference of Governmental Industrial Hygienists. Documentation of the Threshold Limit Values and Biological Exposure Indices, 7th Edition - 2017 Supplement. ACGIH. Available from www.acgih.org/forms/store/ProductFormPublic/documentation-of-the-threshold-limit-values-and-biological-exposure-indices-7th-edition-2017-supplement (Accessed December 1, 2018).
- 13.Pires I, Quintino L, Miranda R, Gomes J. Fume emissions during gas metal arc welding. Toxicol Environ Chem. 2006;88:385–94. [Google Scholar]
- 14.Chen HL, Chung SH, Jhuo ML. Efficiency of different respiratory protective devices for removal of particulate and gaseous reactive oxygen species from welding fumes. Arch Environ Occup Health. 2013;68:101–6. doi: 10.1080/19338244.2011.650799. [DOI] [PubMed] [Google Scholar]
- 15. Ferreira M. Exposure of welders to manganese in welding fumes: North-West University. 2012.
- 16.Antonini JM. Health effects of welding. Crit Rev Toxicol. 2003;33:61–103. doi: 10.1080/713611032. [DOI] [PubMed] [Google Scholar]
- 17.Ghanadzadeh J, Davoudi M, Boujari M. [Comparison of respiratory symptoms between welders and official staffs in one of the Arak industrial factory in 2007. ] Arak Medical University Journal (AMUJ) 2009;12:99–105. [in Persian]. [Google Scholar]
- 18.Karimi Zeverdegani S, Mehrifar Y, Faraji M, Rismanchian M. Occupational exposure to welding gases during three welding processes and risk assessment by SQRCA method. Journal of Occupational Health and Epidemiology. 2017;6:144–9. [Google Scholar]
- 19.Popović O, Prokić-Cvetković R, Burzić M. et al. Fume and gas emission during arc welding: Hazards and recommendation. Renewable and Sustainable Energy Reviews. 2014;37:509–16. [Google Scholar]
- 20.Ayyagari VN, Januszkiewicz A, Nath J. Pro-inflammatory responses of human bronchial epithelial cells to acute nitrogen dioxide exposure. Toxicology. 2004;197:148–63. doi: 10.1016/j.tox.2003.12.017. [DOI] [PubMed] [Google Scholar]
- 21.Roach LL. The Relationship of Welding Fume Exposure, Smoking, and Pulmonary Function in Welders. Workplace Health Saf. 2018;66:34–40. doi: 10.1177/2165079917723927. [DOI] [PubMed] [Google Scholar]
- 22.Christensen SW, Bonde JP, Omland Ø. A prospective study of decline in lung function in relation to welding emissions. J Occup Med Toxicol. 2008;3:6. doi: 10.1186/1745-6673-3-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hedmer M, Karlsson J-E, Andersson U. et al. Exposure to respirable dust and manganese and prevalence of airways symptoms, among Swedish mild steel welders in the manufacturing industry. Int Arch Occup Environ Health. 2014;87:623–34. doi: 10.1007/s00420-013-0896-3. [DOI] [PubMed] [Google Scholar]
- 24.Sharifian SA, Loukzadeh Z, Shojaoddiny-Ardekani A, Aminian O. Pulmonary adverse effects of welding fume in automobile assembly welders. Acta Medica Iranica. 2011;49:98–102. [PubMed] [Google Scholar]
- 25.Thaon I, Demange V, Herin F. et al. Increased lung function decline in blue-collar workers exposed to welding fumes. Chest. 2012;142:192–9. doi: 10.1378/chest.11-0647. [DOI] [PubMed] [Google Scholar]
- 26.Vallieres E, Pintos J, Lavoué J. et al. Exposure to welding fumes increases lung cancer risk among light smokers but not among heavy smokers: evidence from two case–control studies in M ontreal. Cancer Med. 2012;1:47–58. doi: 10.1002/cam4.6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Al-Shamma YM, Dinana FM, Dosh BA. Physiological study of the effect of employment in old brick factories on the lung function of their employees. Journal of Environmental Studies. 2009;1:39–46. [Google Scholar]
- 28.Mehrifar Y, Pirami H, Farhang Dehghan S. [The Relationship between exposure to manganese in welding fumes and incidence of migraine headache symptoms. ] Tehran University Medical Journal TUMS. 2018;76:135–41. [in Persian]. [Google Scholar]
- 29.Sirajuddin A, Kanne JP. Occupational lung disease. J Thorac Imaging. 2009;24:310–20. doi: 10.1097/RTI.0b013e3181c1a9b3. [DOI] [PubMed] [Google Scholar]
- 30.Erhabor G, Fatusi S, Obembe O. Pulmonary function in ARC-welders in Ile-Ife, Nigeria. East African Medical Journal. 2001;78:461–4. doi: 10.4314/eamj.v78i9.8975. [DOI] [PubMed] [Google Scholar]
- 31.Aminian O, Beheshti S, Atarchi M. [Changes of spirometric indices among welders in a car factory in Tehran during a period of five years (1996-2001) ] Armaghan Danesh. 2003;7:9–16. [in Persian]. [Google Scholar]
- 32.Abedi A, Sazavar H, Mohammadi N. [Comparison of functional pulmonary tests in welder labors aged 20-70 with non-welders in Ardabil. ] Tabriz Universities of Medical Sciences. 2004;38:57–61. [in Persian]. [Google Scholar]
- 33.American American, Thoracic Thoracic, Society Society. ATS statement -snowbird workshop on standardization of spirometry. Am Rev Respir Dis. 1979;119:831–8. doi: 10.1164/arrd.1979.119.5.831. [DOI] [PubMed] [Google Scholar]
- 34. Rom WN, Markowitz SB. Environmental and occupational medicine. Lippincott Williams & Wilkins, 2007.
- 35.Zangeneh A, Zangeneh J, Sekhavatjou M, Mohammad A. [Survey of pulmonary functions' curves in Asbestos Cement production plant workers. ] Iran Occupational Health Journal. 2014;11:26–34. [in Persian]. [Google Scholar]
- 36.Mehrifar Y, Zeverdegani SK, Faraji M, Rismanchian M. Risk Assessment of Welders Exposure to the Released Contaminated Gases in Different Types of Welding Processes in a Steel Industry. Health Scope. 2018;8:e58267. [Google Scholar]
- 37.Loukzadeh Z, Sharifian SA, Aminian O, Shojaoddiny-Ardekani A. Pulmonary effects of spot welding in automobile assembly. Occup Med (Lond) 2009;59:267–9. doi: 10.1093/occmed/kqp033. [DOI] [PubMed] [Google Scholar]
- 38.Luo JCJ, Hsu KH, Shen WS. Pulmonary function abnormalities and airway irritation symptoms of metal fumes exposure on automobile spot welders. Am J Ind Med. 2006;49:407–16. doi: 10.1002/ajim.20320. [DOI] [PubMed] [Google Scholar]
- 39.Pourtaghi G, Kakooei H, Salem M. et al. Pulmonary effects of occupational exposure to welding fumes. Aust J Basic Appl Sci. 2009;3:3291–6. [Google Scholar]
- 40.El-Zein M, Malo J, Infante-Rivard C, Gautrin D. Prevalence and association of welding related systemic and respiratory symptoms in welders. Occup Environ Med. 2003;60:655–61. doi: 10.1136/oem.60.9.655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Moghaddam SR, Khanjani N. [Changes in spirometricindices among welders of a water heater making factory in Neyshabur, Iran after four years. ] Journal of Health and Development. 2014;3:38–47. [in Persian]. [Google Scholar]
- 42.Hewett P. Estimation of regional pulmonary deposition and exposure for fumes from SMAW and GMAW mild and stainless steel consumables. Am Ind Hyg Assoc J. 1995;56:136–42. doi: 10.1080/15428119591017169. [DOI] [PubMed] [Google Scholar]
- 43.Ghani N, Tariq F, Hassan S. Respiratory and physical ailments correlated with occupational exposure among welders in Pakistan. J Pak Med Assoc. 2017;67:1910–3. [PubMed] [Google Scholar]
- 44.Minov J, Karadzinska-Bislimovska J, Tutkun E. et al. Chronic obstructive pulmonary disease in never-smoking welding workers. EMJ. 2016;1:65–70. [Google Scholar]
- 45.Cena L, Chisholm W, Keane M, Chen B. A field study on the respiratory deposition of the nano-sized fraction of mild and stainless steel welding fume metals. J Occup Environ Hyg. 2015;12:721–8. doi: 10.1080/15459624.2015.1043055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Antonini JM, Taylor MD, Zimmer AT, Roberts JR. Pulmonary responses to welding fumes: role of metal constituents. J Toxicol Environ Health A. 2004;67:233–49. doi: 10.1080/15287390490266909. [DOI] [PubMed] [Google Scholar]
- 47.Buerke U, Schneider J, Rösler J, Woitowitz HJ. Interstitial pulmonary fibrosis after severe exposure to welding fumes. Am J Ind Med. 2002;41:259–68. doi: 10.1002/ajim.10055. [DOI] [PubMed] [Google Scholar]
- 48.Meo SA. Spirometric evaluation of lung function (maximal voluntary ventilation) in welding workers. Saudi Med J. 2003;24:656–9. [PubMed] [Google Scholar]