| Literature DB >> 35457753 |
Che-Yu Kuo1, Cheng-Fu Lin1,2, Shih-Yu Chung3, Yu-Li Lin1,4, Wei-Min Chu1,4,5,6,7,8, Chun-Chieh Chen5,9, Yu-Tse Tsan1,5.
Abstract
Nickel is a heavy metal used in many industries. Nickel exposure can induce respiratory diseases and allergic reactions, and increase cancer risk. This study evaluated the introduction of a grinding and polishing system to prevent injuries from nickel toxicity in workers. We performed a controlled, interventional, before-and-after study from January 2018 to December 2019 at a faucet component industrial manufacturing site. Results from workplace environmental monitoring, questionnaire responses, and biomonitoring were collected before and after the intervention. Thirty-seven workers (100% men) aged 25.0 (interquartile range (IQR): 22.0-33.5) years were categorized into two groups, those with and without nickel exposure. In the exposed group, the median exposure time was 18.0 months (IQR 14.0-20.0 months). Urinary nickel concentration was lower in the exposed group than in the non-exposed group (13.8 (IQR 1.7-20.7); 23.1 (IQR 11.3-32.8) μg/g creatinine, respectively; p = 0.047). The median urinary nickel concentration was lower in the second year than in the first year (17.4 (IQR 2.2-27.4), 7.7 (IQR 4.3-18.5) μg/g creatinine, respectively; p = 0.022). Significant reductions in urinary nickel concentration were observed following the intervention and educational program. Thus, biomonitoring of urinary nickel concentration can successfully reflect the effectiveness of interventions and their relationship to nickel exposure.Entities:
Keywords: behavioral change; biomonitoring; nickel toxicity; urinary nickel; workplace monitoring
Mesh:
Substances:
Year: 2022 PMID: 35457753 PMCID: PMC9032121 DOI: 10.3390/ijerph19084887
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Overview of the implementation process and data collection periods.
Baseline characteristics of the participants.
| Total | ||
|---|---|---|
| Demographic characteristics | Median | (IQR) |
| Age (years) | 25.0 | (22.0–33.5) |
| Height (cm) | 168.0 | (164.0–173.0) |
| Weight (kg) | 61.0 | (53.5–68.0) |
| Body mass index (kg/m2) | 21.2 | (19.2–23.5) |
| Seniority (months) | 18.0 | (14.0–20.0) |
| Marital status | ||
| Single | 23 | 62.2% |
| Married | 13 | 35.1% |
| Widowed | 1 | 2.7% |
| Educational level | ||
| Junior high school | 2 | 5.4% |
| Senior high school | 20 | 54.1% |
| Junior college | 6 | 16.2% |
| University | 9 | 24.3% |
| Smoking status | ||
| Never/Former | 33 | 89.2% |
| Current | 4 | 10.8% |
| Alcohol | ||
| No | 22 | 59.5% |
| Yes | 15 | 40.5% |
| Intake oatmeal | 9 | 24.3% |
| Intake chocolate, nuts | 8 | 21.6% |
| Intake beans | 6 | 16.2% |
| Hygienic program education | ||
| During working hours | ||
| Wearing masks | 35 | 94.6% |
| Wearing gloves | 35 | 94.6% |
| Wearing protective clothing | 12 | 32.4% |
| Before eating during on-duty hours | ||
| Washing hands | 35 | 94.6% |
| Before going home during off-duty | ||
| Changing clothes | 15 | 40.5% |
| Past history | ||
| Sinusitis | 2 | 5.4% |
| Skin rashes | 1 | 2.7% |
| Health inspection report | ||
| 2018 Urinary nickel (μg/g creatinine) | 17.4 | (2.2–27.4) |
| 2019 Urinary nickel (μg/g creatinine) | 7.7 | (4.3–18.5) |
| Blood creatinine (mg/dL) | 0.8 | (0.8–0.9) |
IQR, interquartile range.
Characteristics of participants according to exposure levels to nickel.
| Manual Drawing Exposed Group | Automatic Drawing | ||||
|---|---|---|---|---|---|
| Demographic characteristics | |||||
| Age (years) | 25.0 | (22.8–33.3) | 26.0 | (22.0–34.0) | 0.851 |
| Height (cm) | 166.0 | (162.8–169.3) | 172.0 | (167.0–178.0) | 0.014 * |
| Weight (kg) | 59.0 | (51.0–64.3) | 65.0 | (56.0–75.0) | 0.048 * |
| Body mass index (kg/m2) | 21.3 | (19.1–22.7) | 21.2 | (19.1–25.6) | 0.412 |
| Seniority (months) | 14.0 | (5.0–18.0) | 19.0 | (18.0–21.0) | 0.004 * |
| Marital status | 0.579 | ||||
| Single | 11 | 61.1% | 12 | 63.2% | |
| Married | 7 | 38.9% | 6 | 31.6% | |
| Widowed | 0 | 0% | 1 | 5.3% | |
| Educational level | 0.065 | ||||
| Junior high school | 1 | 5.6% | 1 | 5.3% | |
| Senior high school | 13 | 72.2% | 7 | 36.8% | |
| Junior college | 3 | 16.7% | 3 | 15.8% | |
| University | 1 | 5.6% | 8 | 42.1% | |
| Smoking status | 1.000 | ||||
| Never/Former | 16 | 88.9% | 17 | 89.5% | |
| Current | 2 | 11.1% | 2 | 10.5% | |
| Alcohol | 0.032 * | ||||
| No | 7 | 38.9% | 15 | 78.9% | |
| Yes | 11 | 61.1% | 4 | 21.1% | |
| Intake oatmeal | 3 | 16.7% | 6 | 31.6% | 0.447 |
| Intake Chocolate, Nuts | 3 | 16.7% | 5 | 26.3% | 0.693 |
| Intake beans | 2 | 11.1% | 4 | 21.1% | 0.660 |
| Hygienic program education | |||||
| During working hours | |||||
| Wearing masks | 16 | 88.9% | 19 | 100% | 0.230 |
| Wearing gloves | 16 | 88.9% | 19 | 100% | 0.230 |
| Wearing protective clothing | 7 | 38.9% | 5 | 26.3% | 0.642 |
| Before eating during on-duty hours | |||||
| Washing hands | 16 | 88.9% | 19 | 100% | 0.230 |
| Before going home during off-duty | |||||
| Changing clothes | 10 | 55.6% | 5 | 26.3% | 0.140 |
| Past history | |||||
| Sinusitis | 1 | 5.6% | 1 | 5.3% | 1.000 |
| Skin rashes | 0 | 0% | 1 | 5.3% | 1.000 |
| Health inspection report | |||||
| 2018 Urinary nickel (μg/g creatinine) | 13.8 | (1.7–20.7) | 23.1 | (11.3–32.8) | 0.046 * |
| 2019 Urinary nickel (μg/g creatinine) | 4.9 | (2.5–5.9) | 18.2 | (8.8–35.0) | 0.000 * |
| Blood creatinine (mg/dL) | 0.8 | (0.8–0.9) | 0.8 | (0.8–0.9) | 0.201 |
* p < 0.05.
Relationships between post-intervention urinary nickel levels and demographic and clinical data.
| Univariate Linear Regression | Multivariate Linear Regression | |||||
|---|---|---|---|---|---|---|
| B | Beta (β) | B | Beta (β) | |||
| Unit | −17.402 | −0.597 | 0.000 * | −10.851 | −0.372 | 0.004 * |
| Height (cm) | 0.935 | 0.391 | 0.017 * | 0.044 | 0.019 | 0.905 |
| Weight (kg) | 0.478 | 0.397 | 0.015 * | 0.053 | 0.044 | 0.750 |
| Seniority (months) | 0.962 | 0.408 | 0.012 * | 0.009 | 0.004 | 0.978 |
| Alcohol | −12.945 | −0.437 | 0.007 * | −2.602 | −0.088 | 0.484 |
| Wearing protective clothing | −10.331 | −0.332 | 0.045 * | −0.596 | −0.019 | 0.884 |
| Changing clothes | −12.710 | −0.429 | 0.008 * | −6.747 | −0.228 | 0.126 |
| Skin rashes | 47.794 | 0.532 | 0.001 * | 40.686 | 0.453 | 0.000 * |
| 2018 Urinary nickel | 0.383 | 0.517 | 0.001 * | 0.285 | 0.386 | 0.008 * |
| Educational level | 5.241 | 0.329 | 0.047 * | −4.046 | −0.254 | 0.129 |
| Age (years) | 0.594 | 0.246 | 0.142 | |||
| Body mass index (kg/m2) | 1.230 | 0.289 | 0.083 | |||
| Marital status | 2.568 | 0.096 | 0.573 | |||
| Smoking status | −8.182 | −0.174 | 0.302 | |||
| Intake oatmeal | 1.193 | 0.035 | 0.836 | |||
| Intake chocolate, nuts | 2.539 | 0.072 | 0.673 | |||
| Intake beans | 10.049 | 0.254 | 0.129 | |||
| Washing hands | 5.917 | 0.092 | 0.589 | |||
| Sinusitis | 6.504 | 0.101 | 0.552 | |||
| Blood creatinine (mg/dL) | 30.511 | 0.180 | 0.287 | |||
* p < 0.05.