| Literature DB >> 26448746 |
Abstract
Objectives. The main objective of this study was to assess the chromium exposure levels in printing workers. The study evaluated the airborne, serum, and urinary chromium levels and determines any correlation between level of chromium in specimen and airborne chromium levels. Material and Methods. A cross-sectional study was conducted with 75 exposed and 75 matched nonexposed subjects. Air breathing zone was measured by furnace atomic absorption spectrophotometer. Serum and urine samples were collected to determine chromium levels by graphite furnaces atomic absorption spectrometer chromium analyzer. Results and Discussion. The printing workers' urinary chromium levels (6.86 ± 1.93 μg/g creatinine) and serum chromium levels (1.24 ± 1.13 μg/L) were significantly higher than the control group (p < 0.001 and p < 0.001). Work position, duration of work, personal protective equipment (PPE), and personal hygiene were significantly associated with urinary chromium level and serum chromium levels (p < 0.001 and p < 0.001). This study found a correlation between airborne chromium levels and urinary chromium levels (r = 0.247, p = 0.032). A multiple regression model was constructed. Significant predictors of urinary and serum chromium levels were shown in this study. Conclusion. Improvements in working conditions, occupational health training, and PPE use are recommended to reduce chromium exposure.Entities:
Year: 2015 PMID: 26448746 PMCID: PMC4584031 DOI: 10.1155/2015/607435
Source DB: PubMed Journal: J Toxicol ISSN: 1687-8191
Mean airborne levels, serum chromium levels, and urinary chromium levels.
| Parameters | Control subjects | Exposed workers |
|
|---|---|---|---|
| Mean airborne levels ( | — | 7.20 ± 2.86 | |
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| Mean serum chromium levels ( | 0.12 ± 0.07 | 1.24 ± 1.13 | 0.031 |
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| Mean urine chromium levels ( | 1.06 ± 1.11 | 6.86 ± 1.93 | <0.001 |
Significant at p < 0.05.
Figure 1The correlation plot of airborne chromium levels (personal sampling) versus printing workers' urinary chromium levels.
Figure 2The correlation plot of airborne chromium levels (personal sampling) versus printing workers' serum chromium levels.
Variables related to printing workers' serum chromium levels and urinary chromium levels.
| Characteristics | Number of exposed printing workers | Mean ± SD of serum chromium levels ( |
| Mean ± SD of urinary chromium levels ( |
|
|---|---|---|---|---|---|
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| Sex | |||||
| Male | 49 (65.3) | 1.47 | 0.001 | 3.36 ± 1.90 | 0.039 |
| Female | 26 (34.7) | 0.59 ± 0.19 | 1.91 ± 0.70 | ||
| Age (years) | |||||
| 20–30 | 40 (53.3) | 0.67 ± 0.52 | 0.067 | 1.71 ± 0.05 | 0.425 |
| >30–40 | 24 (32.0) | 1.47 ± 1.29 | 2.90 ± 1.80 | ||
| >40–50 | 11 (14.7) | 1.62 ± 1.21 | 1.92 ± 1.62 | ||
| Education level | |||||
| Secondary school | 15 (20.0) | 1.29 ± 1.13 | 0.614 | 0.31 ± 0.30 | 0.214 |
| Vocational school | 29 (38.7) | 0.96 ± 1.17 | 0.36 ± 0.21 | ||
| Bachelor's degree or higher | 31 (41.3) | 1.19 ± 1.20 | 0.41 ± 0.30 | ||
| Income (baht) | |||||
| ≤9000 | 48 (64.0) | 1.16 ± 1.02 | 0.780 | 2.83 ± 1.19 | 0.926 |
| >9000 | 27 (36.0) | 1.28 ± 1.01 | 2.90 ± 1.97 | ||
| Smoking cigarettes | |||||
| Yes | 35 (46.7) | 1.37 ± 1.31 | 0.123 | 3.62 ± 2.17 | 0.034 |
| No | 40 (53.3) | 0.92 ± 1.14 | 2.19 ± 1.55 | ||
| Consuming alcohol | |||||
| Yes | 43 (57.3) | 1.07 ± 1.23 | 0.635 | 3.05 ± 2.09 | 0.517 |
| No | 32 (42.7) | 1.21 ± 1.20 | 2.61 ± 2.11 | ||
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| Duration of work (years) | |||||
| >5 | 21 (28.0) | 0.67 ± 0.18 | 0.012 | 0.57 ± 0.06 | <0.001 |
| ≤5 | 54 (72.0) | 1.31 ± 1.20 | 3.75 ± 0.99 | ||
| Hours worked per day | |||||
| >8 | 48 (64.0) | 0.56 ± 0.27 | <0.001 | 1.57 ± 0.21 | <0.001 |
| ≤8 | 27 (36.0) | 2.14 ± 1.30 | 5.15 ± 2.15 | ||
| Days worked per week | |||||
| >6 | 59 (78.8) | 0.77 ± 0.02 | <0.001 | 2.11 ± 0.71 | <0.001 |
| ≤6 | 16 (21.3) | 2.85 ± 0.91 | 5.59 ± 1.95 | ||
| Position | |||||
| Press or printing process | 58 (77.3) | 1.80 ± 1.36 | <0.001 | 4.51 ± 1.30 | <0.001 |
| Other positions (prepress and postpress process) | 17 (22.7) | 0.26 ± 1.60 | 2.41 ± 0.02 | ||
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| Mask | |||||
| Yes | 21 (28.0) | 2.80 ± 0.842 | <0.001 | 5.37 ± 2.33 | <0.001 |
| No | 54 (72.0) | 0.48 ± 0.582 | 1.85 ± 2.50 | ||
| Gloves | |||||
| Yes | 45 (60.0) | 1.65 ± 1.336 | <0.001 | 3.87 ± 2.9 | <0.001 |
| No | 30 (40.0) | 0.35 ± 0.393 | 1.34 ± 1.12 | ||
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| Eating snacks or drinking water at work | |||||
| Always | 57 (76.0) | 1.41 ± 1.303 | <0.001 | 3.47 ± 1.95 | 0.001 |
| Sometimes | 18 (24.0) | 0.27 ± 0.178 | 1.92 ± 1.82 | ||
| Washing hands before lunch | |||||
| Always | 35 (46.7) | 1.60 ± 1.303 | 0.002 | 4.29 ± 3.91 | <0.001 |
| Sometimes | 40 (53.3) | 0.72 ± 1.029 | 1.60 ± 1.17 | ||
| Washing hands after work | |||||
| Always | 15 (20.0) | 2.33 ± 1.308 | 0.002 | 5.41 ± 2.43 | 0.004 |
| Sometimes | 60 (80.0) | 0.83 ± 1.028 | 2.21 ± 1.41 | ||
Significant at p < 0.05.
Regression analysis of occupational life style, used PPE, and personal hygiene behavior on serum chromium levels (n = 75).
| Dependent variable-independent variable | Adjusted | Standardized beta coefficient |
| Significance |
|---|---|---|---|---|
| First equation | ||||
| Smoking | 0.711 | 0.047 | 0.718 | 0.475 |
| Hours per day | 0.045 | 0.505 | 0.615 | |
| Years of work | 0.000 | −0.008 | 0.994 | |
| Positions | 0.111 | 1.732 | 0.088 | |
| Mask | −0.808 | −8.980 | 0.000 | |
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| Second equation | ||||
| Smoking | 0.418 | −0.010 | −0.114 | 0.910 |
| Hours per day | 0.455 | 4.117 | 0.000 | |
| Years of work | 0.080 | 0.846 | 0.400 | |
| Positions | 0.105 | 1.092 | 0.279 | |
| Gloves | −0.253 | −2.311 | 0.024 | |
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| Third equation | ||||
| Smoking | 0.386 | 0.005 | 0.056 | 0.955 |
| Hours per day | 0.554 | 5.476 | 0.000 | |
| Years of work | 0.046 | 0.475 | 0.636 | |
| Positions | 0.122 | 1.175 | 0.244 | |
| Eating snacks or drinking water at work | −0.130 | −1.195 | 0.236 | |
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| Fourth equation | ||||
| Smoking | 0.425 | 0.117 | 1.114 | 0.269 |
| Hours per day | 0.444 | 4.042 | 0.000 | |
| Years of work | 0.082 | 0.865 | 0.390 | |
| Positions | 0.180 | 2.001 | 0.049 | |
| Washing hands before lunch | −0.304 | −2.508 | 0.015 | |
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| Fifth equation | ||||
| Smoking | 0.377 | −0.011 | −0.112 | 0.911 |
| Hours per day | 0.592 | 5.962 | 0.000 | |
| Years of work | 0.043 | 0.441 | 0.661 | |
| Positions | 0.194 | 1.993 | 0.050 | |
| Washing hands after work | 0.062 | 0.646 | 0.521 | |
Significant at p < 0.05.
Regression analysis of occupational life style, used PPE, and personal hygiene behavior on urinary chromium levels (n = 75).
| Dependent variable-independent variable | Adjusted | Standardized beta coefficient |
| Significance |
|---|---|---|---|---|
| First equation | ||||
| Smoking | 0.542 | −0.077 | −0.906 | 0.362 |
| Hours per day | 0.333 | 2.833 | 0.006 | |
| Years of work | 0.310 | 3.595 | 0.001 | |
| Positions | 0.218 | 2.599 | 0.011 | |
| Mask | −0.183 | −1.559 | 0.124 | |
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| Second equation | ||||
| Smoking | 0.508 | −0.089 | −1.051 | 0.297 |
| Hours per day | 0.376 | 3.703 | 0.000 | |
| Years of work | 0.343 | 3.923 | 0.000 | |
| Positions | 0.189 | 2.142 | 0.036 | |
| Gloves | −0.153 | −1.519 | 0.133 | |
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| Third equation | ||||
| Smoking | 0.532 | −0.058 | −0.688 | 0.493 |
| Hours per day | 0.400 | 4.533 | 0.000 | |
| Years of work | 0.328 | 3.902 | 0.000 | |
| Positions | 0.134 | 1.483 | 0.143 | |
| Eating snacks or drinking water at work | 0.553 | −2.437 | 0.017 | |
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| Fourth equation | ||||
| Smoking | 0.526 | 0.014 | 0.151 | 0.881 |
| Hours per day | 0.342 | 3.420 | 0.001 | |
| Years of work | 0.352 | 4.104 | 0.000 | |
| Positions | 0.235 | 2.872 | 0.005 | |
| Washing hands before lunch | −0.244 | −2.223 | 0.030 | |
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| Fifth equation | ||||
| Smoking | 0.492 | −0.090 | −1.049 | 0.298 |
| Hours per day | 0.455 | 5.077 | 0.000 | |
| Years of work | 0.319 | 3.650 | 0.001 | |
| Positions | 0.234 | 2.667 | 0.010 | |
| Washing hands after work | 0.006 | 0.069 | 0.945 | |
Significant at p < 0.05.