| Literature DB >> 34639318 |
Umakorn Tongsantia1, Sunisa Chaiklieng2, Pornnapa Suggaravetsiri3, Sari Andajani4, Herman Autrup5.
Abstract
This cross-sectional study examined the risk factors affecting adverse health effects from benzene exposure among gasoline station workers in Khon Kean province, Thailand. An interview questionnaire of adverse symptoms relating to benzene toxicity was administered to 151 workers. Area samplings for benzene concentration and spot urine for tt-muconic acid (tt-MA), a biomarker of benzene exposure, were collected. The factors associated with adverse symptoms were analysed by using multiple logistic regression. It was found that these symptoms mostly affected fuelling workers (77.5%), and the detected air benzene reached an action level or higher than 50% of NIOSH REL (>50 ppb). The top five adverse symptoms, i.e., fatigue, headache, dizziness, nasal congestion, and runny nose, were reported among workers exposed to benzene. More specific symptoms of benzene toxicity were chest pain, bleeding/epistaxis, and anaemia. The detected tt-MA of workers was 506.7 ug/g Cr (IQR), which was a value above the BEI and higher than that of asymptomatic workers. Risk factors significantly associated with adverse symptoms, included having no safety training experience (ORadj = 5.22; 95% CI: 2.16-12.58) and eating during work hours (ORadj = 16.08; 95% CI: 1.96-131.74). This study urges the tightening of health and safety standards at gasoline stations to include training and eating restrictions while working in hazardous areas.Entities:
Keywords: adverse symptom; benzene; gasoline station; risk factor; tt-muconic acid
Mesh:
Substances:
Year: 2021 PMID: 34639318 PMCID: PMC8508572 DOI: 10.3390/ijerph181910014
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Gasoline station layout.
Adverse health effects of benzene exposure (n = 90).
| Adverse Symptom | Had Symptom | Benzene | tt-MA > BEI | ||
|---|---|---|---|---|---|
| Low level ( | |||||
| Headache | 40 (44.4) | 2 (66.7) a | 0.583 | 14 (51.9) b | 0.355 |
| Itchy skin/red rash/blisters | 38 (42.2) | 1 (33.3) | 0.617 | 11 (40.7) | 0.852 |
| Exhaustion/fatigue | 34 (37.8) | 3 (100.0) a | 0.051 | 9 (33.3) | 0.569 |
| Dizziness | 34 (37.8) | 2 (66.7) a | 0.554 | 11 (40.7) | 0.704 |
| Nasal congestion | 21 (23.3) | 2 (66.7) a | 0.135 | 4 (14.8) | 0.281 |
| Sore throat/dry throat | 17 (18.9) | 0 | 5 (18.5) | 0.953 | |
| Red eye/burning eyes/itchy eyes | 15 (16.7) | 1 (33.3) | 0.425 | 2 (7.4) | 0.215 |
| Runny nose | 12 (13.3) | 2 (66.7) a | 0.046 * | 4 (14.8) | 0.747 |
| Suffocation | 11 (12.2) | 1 (33.3) | 0.327 | 7 (25.9) | 0.015 * |
| Cough/hoarseness | 11 (12.2) | 1 (33.3) | 0.327 | 6 (22.2) | 0.058 |
| Dry skin/cracked skin | 8 (8.89) | 1 (33.3) | 0.246 | 2 (7.4) | 1.000 |
| Anorexia | 7 (7.8) | 1 (33.3) | 0.218 | 4 (14.8) | 0.191 |
| Palpitations | 3 (3.3) | 0 | 1 (3.7) | 1.000 | |
| Moderate level ( | |||||
| Chest pain | 13 (14.4) | 1 (33.3) | 0.377 | 5 (18.5) | 0.472 |
| Numbness | 10 (10.1) | 1 (33.3) | 0.098 | 3 (11.1) | 1.000 |
| Scurvy/Epistaxis/Bleeding | 11 (12.2) | 0 | 1 (3.7) | 0.163 | |
| Insufficient/abnormal breathing | 9 (10.0) | 1 (33.3) | 0.274 | 5 (18.5) | 0.121 |
| Nausea and vomiting | 8 (8.9) | 0 | 1 (3.7) | 0.427 | |
| Blurred vision | 6 (6.7) | 0 | 0 | - | |
| Cramp | 6 (6.7) | 0 | 1 (3.7) | 0.664 | |
| Confusion | 3 (3.3) | 0 | 1 (3.7) | 1.000 | |
| Muscle weakness | 3 (3.3) | 0 | 2 (7.4) | 0.213 | |
| Burning pain/swelling/wood skin | 2 (2.2) | 0 | 0 | - | |
| Tremor | 2 (2.2) | 0 | 2 (7.4) | 0.088 | |
| Petechia | 1 (1.1) | 0 | 1 (3.7) | 0.300 | |
| Depression | 1 (1.1) | 0 | 0 | - | |
| High level ( | |||||
| Anaemia | 2 (2.2) | 0 | 1 (3.7) | 0.512 | |
| Unconsciousness | 1 (1.1) | 0 | 0 | - |
a indicates that more than 50% of the total workers had been exposed to benzene >50% OEL; b indicates that more than 50% of the total workers had detected tt-MA > BEI; * indicates a significant association of the symptom with >50%OEL exposure by Fisher’s exact test (p ≤ 0.05).
Bivariate analysis of the relationship between personal factors and moderate to high levels of adverse effects (n = 151).
| Characteristic | Total | Moderate to High Levels of Effects | Non-Symptomatic or Mild Symptoms | OR | 95%CI | |
|---|---|---|---|---|---|---|
| Personal characteristics and health information | ||||||
| Gender | ||||||
| Male | 56 | 13 (23.21) | 43 (76.79) | 0.95 | 0.43–2.06 | 0.889 |
| Female | 95 | 23 (24.21) | 72 (75.79) | 1.00 | ||
| Age (years) | ||||||
| ≤30 | 61 | 21 (34.43) | 40 (65.57) | 2.63 | 1.22–5.65 | 0.012 * |
| >30 | 90 | 15 (16.67) | 75 (83.33) | 1.00 | ||
| Education level | ||||||
| Primary school and lower | 89 | 24 (26.97) | 65 (73.03) | 1.54 | 0.70–3.37 | 0.276 |
| Secondary school and higher | 62 | 12 (19.35) | 50 (80.65) | 1.00 | ||
| BMI (kg/m2) | ||||||
| Overweight and Obese | 88 | 19 (21.59) | 69 (78.41) | 0.48 | 0.09–2.46 | 0.378 |
| Underweight | 12 | 2 (16.67) | 10 (83.33) | 0.66 | 0.30–1.45 | 0.303 |
| Normal | 51 | 15 (29.41) | 36 (70.59) | 1.00 | ||
| Income (baht/month) | ||||||
| ≥10,000 | 50 | 11 (22.00) | 39 (78.00) | 0.86 | 0.38–1.92 | 0.707 |
| <10,000 | 101 | 25 (24.75) | 76 (75.25) | 1.00 | ||
| Congenital disease | ||||||
| Yes | 49 | 11 (22.45) | 38 (77.55) | 0.89 | 0.40–2.00 | 0.780 |
| No | 102 | 25 (24.51) | 77 (76.49) | 1.00 | ||
| Anaemia | ||||||
| Yes | 34 | 10 (29.41) | 24 (70.59) | 1.46 | 0.61–3.44 | 0.394 |
| No | 117 | 26 (22.22) | 91 (77.78) | 1.00 | ||
| Anaemia history | ||||||
| Yes | 24 | 5 (20.83) | 19 (79.17) | 0.81 | 0.28–2.36 | 0.703 |
| No | 127 | 31 (24.41) | 96 (75.59) | 1.00 | ||
| Annual health check-up | ||||||
| No | 121 | 30 (24.79) | 91 (75.21) | 1.32 | 0.49–3.53 | 0.576 |
| Yes | 30 | 6 (20.00) | 24 (80.00) | 1.00 | ||
| Workplace information | ||||||
| Zone | ||||||
| Urban area | 28 | 10 (35.71) | 18 (64.29) | 1.00 | 0.37–2.71 | 1.000 |
| Suburban area | 81 | 11 (13.58) | 70 (86.42) | 0.28 | 0.12–0.69 | 0.006 |
| Rural area | 42 | 15 (35.71) | 27 (64.29) | 1.00 | ||
| Job function | ||||||
| Fuelling | 107 | 28 (23.93) | 79 (76.07) | 1.02 | 0.42–2.51 | 0.961 |
| Cashier | 34 | 8 (23.53) | 26 (76.47) | 1.00 | ||
| Working experience | ||||||
| ≥1 year | 82 | 17 (20.73) | 65 (79.27) | 0.69 | 0.32–1.46 | 0.329 |
| <1 year | 69 | 19 (27.54) | 50 (72.46) | 1.00 | ||
| Shift work | ||||||
| Day | 98 | 20 (20.41) | 68 (79.59) | 0.59 | 0.28–1.27 | 0.183 |
| Night | 53 | 18 (30.19) | 37 (69.81) | 1.00 | ||
| Working days per week | ||||||
| ≥6 day | 28 | 8 (28.57) | 20 (71.43) | 1.36 | 0.54–3.41 | 0.522 |
| <6 day | 123 | 28 (22.76) | 95 (77.24) | 1.00 | ||
| Working hours per day | ||||||
| ≥8 h | 92 | 19 (20.65) | 73 (79.35) | 0.64 | 0.30–1.37 | 0.254 |
| <8 h | 59 | 17 (28.81) | 42 (71.19) | 1.00 | ||
| Use of uniform | ||||||
| No | 49 | 11 (22.45) | 38 (77.55) | 0.89 | 0.40–2.00 | 0.780 |
| Yes | 102 | 25 (24.52) | 77 (75.49) | 1.00 | ||
| Training experience | ||||||
| No | 41 | 19 (46.34) | 22 (53.64) | 4.72 | 2.12–10.54 | <0.001 * |
| Yes | 110 | 17 (15.45) | 93 (84.55) | 1.00 | ||
| Personal protective equipment (PPE) use | ||||||
| Yes | 72 | 23 (31.94) | 49 (60.06) | 2.38 | 1.10–5.17 | 0.025 * |
| No | 29 | 13 (16.46) | 16 (83.54) | 1.00 | ||
| Whether participants were exposed to benzene in previous employment | ||||||
| No | 41 | 10 (24.39) | 31 (75.61) | 1.04 | 0.45–2.41 | 0.923 |
| Yes | 110 | 26 (23.64) | 84 (76.36) | 1.00 | ||
| Shower after work | ||||||
| No | 53 | 14 (26.42) | 39 (73.58) | 1.24 | 0.57–2.69 | 0.587 |
| Yes | 98 | 22 (22.45) | 72 (71.55) | 1.00 | ||
| Hand washing | ||||||
| No | 21 | 8 (38.10) | 13 (61.90) | 2.24 | 0.85–5.94 | 0.114 |
| Yes | 130 | 28 (21.54) | 102 (78.46) | 1.00 | ||
| Eat food in the working area | ||||||
| Yes | 119 | 33 (27.73) | 86 (72.27) | 3.71 | 1.06–13.01 | 0.019 * |
| No | 32 | 3 (9.38) | 29 (90.62) | 1.00 | ||
| Eat food during work | ||||||
| Yes | 120 | 35 (29.17) | 85 (70.83) | 12.35 | 1.62–94.14 | <0.001 * |
| No | 31 | 1 (3.23) | 30 (96.77) | 1.00 | ||
* Significant factors of correlation with adverse effect of benzene exposure at p-value < 0.05.
Multiple logistic regression analysis of the potential risk factors of moderate and high levels of adverse health effects among gasoline station workers (n = 151).
| Characteristic | Adverse Effect | OR | ORadj | 95%CI | |
|---|---|---|---|---|---|
| Gender | |||||
| Male | 13 (23.21) | 0.95 | 1.33 | 0.56–3.19 | 0.517 |
| Female | 23 (24.21) | 1.00 | 1.00 | ||
| Age (year) | |||||
| ≤30 | 21 (34.43) | 2.63 | 1.96 | 0.84–4.55 | 0.119 |
| >30 | 15 (16.67) | 1.00 | 1.00 | ||
| Education level | |||||
| Primary school or lower | 24 (26.97) | 1.54 | 1.76 | 0.73–4.25 | 0.209 |
| high school or higher | 12 (19.35) | 1.00 | 1.00 | ||
| Zone | |||||
| Urban area | 10 (35.71) | 1.00 | 1.93 | 0.57–6.51 | 0.479 |
| Suburban area | 11 (13.58) | 0.28 | 0.671 | 0.22–2.02 | 0.287 |
| Rural area | 15 (35.71) | 1.00 | 1.00 | ||
| Shift work | |||||
| Day | 16 (30.19) | 0.59 | 0.56 | 0.22–1.39 | 0.214 |
| Night | 20 (20.41) | 1.00 | 1.00 | ||
| Training | |||||
| No | 19 (46.34) | 4.72 | 5.22 | 2.16–12.58 | <0.001 * |
| Yes | 17 (15.45) | 1.00 | 1.00 | ||
| PPE use | |||||
| Yes | 23 (31.94) | 2.38 | 2.11 | 0.86–5.16 | 0.101 |
| No | 13 (16.46) | 1.00 | 1.00 | ||
| Hand washing | |||||
| No | 8 (38.10) | 2.24 | 1.84 | 0.57–5.98 | 0.312 |
| Yes | 28 (21.54) | 1.00 | 1.00 | ||
| Eat food in the working area | |||||
| Yes | 33 (27.73) | 3.71 | 0.64 | 0.009–4.28 | 0.648 |
| No | 3 (9.38) | 1.00 | 1.00 | ||
| Eat food during work | |||||
| Yes | 35 (29.17) | 12.35 | 16.08 | 1.96–131.74 | 0.010 * |
| No | 1 (3.23) | 1.00 | 1.00 |
Remark: Gender, age, education level was always included as the confounders. * Significant factors effecting with health adverse effect of benzene exposure p-value < 0.05.