| Literature DB >> 31543967 |
Jeong Woo Kim1, Byoung Gwon Kim1, Jeong Woo Park1, Jong Woo Yi1, Jung Il Kim1, Young Seoub Hong2.
Abstract
BACKGROUND: In Korea, around the abandoned metal mines, heavy metals are being accumulating in the cultivated areas. Among exposed heavy metals, mercury is known to harm for cardiovascular system known to affect blood pressure. So, we studied the relationship between blood mercury level and hypertension in residents around abandoned metal mines.Entities:
Keywords: Abandoned metal mines; Blood mercury; Hypertension
Year: 2019 PMID: 31543967 PMCID: PMC6751788 DOI: 10.35371/aoem.2019.31.e6
Source DB: PubMed Journal: Ann Occup Environ Med ISSN: 2052-4374
General characteristics of study subjects
| Characteristics | All subjects | PSM subjects | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Hg < 5.8 µg/L (n = 4,438) | Hg ≥ 5.8 µg/L (n = 1,737) | χ2 or t-value | Hg < 5.8 µg/L (n = 3,275) | Hg ≥ 5.8 µg/L (n = 1,833) | χ2 or t-value | ||||
| Sex | 156.599 | 0.000 | 0.303 | 0.582 | |||||
| Male | 1,560 (35.2) | 912 (52.5) | 1,165 (26.3) | 595 (34.3) | |||||
| Female | 2,878 (64.8) | 825 (47.5) | 1,665 (37.5) | 820 (47.2) | |||||
| Age (years) | 66.1 ± 12.23 | 63.68 ± 11.33 | 7.151 | 0.000 | 65.24 ± 12.21 | 65.35 ± 10.90 | 0.300 | 0.764 | |
| Smoking | 26.980 | 0.000 | 1.144 | 0.564 | |||||
| Current | 576 (13.0) | 258 (14.9) | 409 (9.2) | 212 (12.2) | |||||
| Ex | 676 (15.2) | 345 (19.9) | 431 (9.7) | 230 (13.2) | |||||
| Non | 3,186 (71.8) | 1,134 (65.3) | 1,990 (44.8) | 973 (56.0) | |||||
| Alcohol drink | 99.763 | 0.000 | 0.229 | 0.632 | |||||
| 1 | 1,731 (39.1) | 923 (53.1) | 1,298 (29.2) | 638 (36.7) | |||||
| 0 | 2,701 (60.9) | 814 (46.9) | 1,532 (34.5) | 777 (44.7) | |||||
| Income | 38.340 | 0.000 | 0.971 | 0.808 | |||||
| 1 | 2,685 (60.5) | 921 (53.0) | 1,732 (39.0) | 847 (48.8) | |||||
| 2 | 809 (18.2) | 350 (20.1) | 502 (11.3) | 255 (14.7) | |||||
| 3 | 593 (13.4) | 260 (15.0) | 381 (8.6) | 196 (11.3) | |||||
| 4 | 351 (7.9) | 206 (11.9) | 215 (4.8) | 117 (6.7) | |||||
Values are presented as number (%). Alcohol drink: 1 - person who had lifetime drinking experience, 0 - never drink; Income: quartile subgroup for gross house income.
PSM: propensity score matching.
Differences in blood mercury concentrations according to general characteristics
| Characteristics | All subjects | |||
|---|---|---|---|---|
| Mean ± SD | t-value | |||
| Sex | 11.899 | 0.000 | ||
| Male | 5.99 ± 4.96 | |||
| Female | 4.56 ± 4.38 | |||
| Age (years) | 8.642 | 0.000 | ||
| < 65 | 5.74 ± 4.67 | |||
| ≥ 65 | 4.70 ± 4.63 | |||
| Smoking | 11.261 | 0.000 | ||
| Current | 5.39 ± 4.28 | |||
| Ex | 5.67 ± 4.62 | |||
| Non | 4.95 ± 4.75 | |||
| Alcohol drink | 9.854 | 0.000 | ||
| 1 | 5.80 ± 4.98 | |||
| 0 | 4.62 ± 4.36 | |||
| Income | 25.510 | 0.000 | ||
| 1 | 4.73 ± 4.10 | |||
| 2 | 5.41 ± 5.63 | |||
| 3 | 5.71 ± 5.26 | |||
| 4 | 6.25 ± 4.73 | |||
Alcohol drink: 1 - person who had lifetime drinking experience, 0 - never drink; Income: quartile subgroup for gross house income.
SD: standard deviation.
Differences in blood mercury concentration according to hypertension existence
| Hg concentration (µg/L) | All subjects | PSM subjects | ||||||
|---|---|---|---|---|---|---|---|---|
| Hypertension | χ2 | Hypertension | χ2 | |||||
| Yes | No | Yes | No | |||||
| > 5.8 | 2,394 (53.9) | 2,044 (46.1) | 4.873 | 0.027 | 1,486 (52.5) | 1,344 (47.5) | 12.155 | 0.001 |
| ≤ 5.8 | 991 (57.1) | 746 (42.9) | 823 (58.2) | 592 (41.8) | ||||
| > 15 | 3,263 (53.9) | 2,703 (45.3) | 2.552 | 0.110 | 214 (51.2) | 204 (48.8) | 4.639 | 0.031 |
| ≤ 15 | 126 (60.3) | 83 (39.7) | 126 (60.3) | 83 (39.7) | ||||
Values are presented as number (%).
PSM: propensity score matching.
Logistic regression analysis for the occurrence of hypertension and related factors (Hg concentration 5.8 μg/L)
| Related factors | All subjects | PSM subjects | |||
|---|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | ||||
| Hg concentration (ref ≥ 5.8) | 1.277 (1.135–1.436) | < 0.001 | 1.276 (1.117–1.457) | 0.000 | |
| Sex (ref = male) | 0.978 (0.857–1.115) | 0.737 | 1.024 (0.875–1.198) | 0.766 | |
| Age | 1.038 (1.033–1.043) | < 0.001 | 1.040 (1.034–1.047) | < 0.001 | |
| Smoking (ref = current) | 0.575 | 0.665 | |||
| Ex | 0.984 (0.814–1.190) | 0.869 | 0.901 (0.716–1.134) | 0.376 | |
| Non | 1.062 (0.895–1.261) | 0.489 | 0.958 (0.777–1.181) | 0.686 | |
| Alcohol drink (ref = 0) | 0.987 (0.879–1.108) | 0.827 | 0.934 (0.819–1.065) | 0.308 | |
| Income (ref = 1) | 0.003 | 0.028 | |||
| 2 | 1.000 (0.868–1.151) | 0.996 | 1.009 (0.849–1.199) | 0.922 | |
| 3 | 0.774 (0.656–0.914) | 0.003 | 0.775 (0.632–0.950) | 0.014 | |
| 4 | 0.764 (0.622–0.939) | 0.010 | 0.768 (0.591–0.997) | 0.048 | |
Alcohol drink: 1 - person who had lifetime drinking experience, 0 - never drink; Income: quartile subgroup for gross house income.
OR: odds ratio; CI: confidence interval; PSM: propensity score matching.
Logistic regression analysis for the occurrence of hypertension and related factors (Hg concentration 15 μg/L)
| Related factors | All subjects | PSM subjects | |||
|---|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | ||||
| Hg concentration (ref ≥ 15) | 1.426 (1.066–1.908) | 0.017 | 1.450 (1.026–2.049) | 0.035 | |
| Sex (ref = male) | 0.947 (0.831–1.079) | 0.416 | 0.980 (0.673–1.428) | 0.918 | |
| Age | 1.037 (1.032–1.042) | 0.000 | 1.037 (1.019–1.056) | 0.000 | |
| Smoking (ref = current) | 0.465 | 0.432 | |||
| Ex | 0.984 (0.814–1.190) | 0.942 | 1.335 (0.750–2.377) | 0.326 | |
| Non | 1.062 (0.895–1.261) | 0.367 | 1.017 (0.599–1.728) | 0.949 | |
| Alcohol drink (ref = 0) | 0.987 (0.879–1.108) | 0.959 | 1.130 (0.804–1.590) | 0.481 | |
| Income (ref = 1) | 0.002 | 0.742 | |||
| 2 | 1.000 (0.868–1.151) | 0.897 | 1.254 (0.810–1.942) | 0.311 | |
| 3 | 0.774 (0.656–0.914) | 0.002 | 1.142 (0.702–1.855) | 0.593 | |
| 4 | 0.764 (0.622–0.939) | 0.008 | 1.017 (0.564–1.833) | 0.955 | |
Alcohol drink: 1 - person who had lifetime drinking experience, 0 - never drink; Income: quartile subgroup for gross house income.
OR: odds ratio; CI: confidence interval; PSM: propensity score matching.