| Literature DB >> 17107847 |
Guowei Pan1, Tomoyuki Hanaoka, Mariko Yoshimura, Shujuan Zhang, Ping Wang, Hiromasa Tsukino, Koichi Inoue, Hiroyuki Nakazawa, Shoichiro Tsugane, Ken Takahashi.
Abstract
BACKGROUND: Observations of adverse developmental and reproductive effects in laboratory animals and wildlife have fueled increasing public concern regarding the potential for various chemicals to impair human fertility.Entities:
Mesh:
Substances:
Year: 2006 PMID: 17107847 PMCID: PMC1665432 DOI: 10.1289/ehp.9016
Source DB: PubMed Journal: Environ Health Perspect ISSN: 0091-6765 Impact factor: 9.031
Demographic characteristics [no. (%)] of exposed (n = 74), unexposed (n = 63), and total workers (n = 137).
| Characteristic | Exposed | Unexposed | All |
|---|---|---|---|
| Age at interview (years) | 33.5 ± 9.4 | 34.3 ± 9.9 | 33.9 ± 9.6 |
| Age (years) | |||
| < 20 | 5 (7) | 4 (6) | 9 (7) |
| 20–29 | 25 (34) | 18 (29) | 43 (31) |
| 30–39 | 21 (28) | 20 (32) | 41 (30) |
| 40–49 | 20 (27) | 17 (27) | 37 (27) |
| ≥50 | 3 (4) | 4 (6) | 7 (5) |
| Years working in current job | 1.0 ± 0.8 | 2.6 ± 5.5 | 1.7 ± 3.8 |
| Marriage status | |||
| Single | 21 (28) | 15 (24) | 36 (26) |
| Married | 50 (68) | 48 (76) | 98 (72) |
| Divorced | 3 (4) | 0 | 3 (2) |
| Smoker | 44 (60) | 39 (62) | 83 (61) |
| Drinker | 40 (54) | 40 (64) | 80 (58) |
| SIP score | |||
| 0 | 33 (45) | 24 (38) | 57 (42) |
| 1 | 27 (36) | 29 (46) | 56 (41) |
| 2 | 10 (14) | 8 (13) | 18 (13) |
| 3 | 4 (5) | 2 (3) | 6 (4) |
Mean ± SD.
p < 0.01.
Selected percentiles and GMs of urinary MBP and MEHP concentrations (μg/g creatinine) among exposed workers, unexposed workers, and the American male population.
| Percentiles
| |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Marker/subjects | No. (%) | 10th | 25th | 50th | 75th | 90th | 95th | GM | |
| MBP | |||||||||
| Exposed | 74 (100) | 156.7 | 252.1 | 548.4 | 1492.6 | 2455.5 | 8781.2 | 644.3 | |
| Unexposed | 63 (100) | 58.2 | 74.7 | 113.5 | 206.8 | 338.2 | 434.5 | 129.6 | < 0.001 |
| NHANES | 1,215 (99) | 6.5 | 10.2 | 17.0 | 28.6 | 49.1 | 63.6 | 17.3 | |
| MEHP | |||||||||
| Exposed | 74 (100) | 78.0 | 209.6 | 562.3 | 1884.4 | 3303.7 | 5379.7 | 565.7 | |
| Unexposed | 63 (98) | 2.0 | 3.7 | 5.4 | 9.9 | 15.4 | 23.2 | 5.7 | < 0.001 |
| NHANES | 1,215 (81) | < LOD | 1.3 | 2.8 | 5.6 | 10.3 | 21.6 | 2.9 | |
Sample size and percentage of detection.
Data from Silva et al. (2004a).
Concentrations (mean ± SD) of log10-transformed serum FSH, LH, fT, and E2 among exposed (n = 74) and unexposed (n = 63) workers.
| Hormone | Exposed | Unexposed | |
|---|---|---|---|
| FSH | 5.0 ± 1.5 | 5.4 ± 1.7 | 0.360 |
| LH | 4.3 ± 1.5 | 4.9 ± 1.7 | 0.102 |
| T | 8.4 ± 1.5 | 9.7 ± 1.4 | 0.019 |
| E2 | 22.4 ± 1.6 | 20 ± 1.7 | 0.187 |
Standardized partial correlation coefficients between levels of urinary metabolites and plasma hormones in all subjects.
| Exposed | Unexposed | All | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MEHP | FSH | LH | fT | E2 | LH/fT | MEHP | FSH | LH | fT | E2 | LH/fT | MEHP | FSH | LH | fT | E2 | LH/fT | |
| MBP | 0.716 | −0.180 | 0.087 | −0.253 | −0.029 | 0.216 | 0.549 | 0.002 | 0.078 | 0.095 | −0.061 | −0.032 | 0.799 | −0.103 | −0.042 | −0.237 | 0.032 | 0.073 |
| 0.000 | 0.129 | 0.466 | 0.032 | 0.808 | 0.034 | 0.000 | 0.998 | 0.550 | 0.467 | 0.639 | 0.402 | 0.000 | 0.107 | 0.632 | 0.006 | 0.712 | 0.199 | |
| MEHP | −0.191 | 0.035 | −0.198 | 0.007 | 0.146 | 0.092 | 0.127 | −0.045 | −0.128 | 0.109 | −0.103 | −0.109 | −0.242 | 0.077 | 0.035 | |||
| 0.109 | 0.768 | 0.095 | 0.955 | 0.110 | 0.480 | 0.330 | 0.728 | 0.325 | 0.202 | 0.235 | 0.207 | 0.005 | 0.376 | 0.345 | ||||
| FSH | 0.156 | 0.084 | 0.051 | 0.093 | 0.319 | −0.081 | −0.229 | 0.328 | 0.262 | 0.032 | −0.075 | 0.224 | ||||||
| 0.192 | 0.486 | 0.669 | 0.218 | 0.012 | 0.533 | 0.076 | 0.005 | 0.002 | 0.713 | 0.385 | 0.004 | |||||||
| LH | 0.315 | 0.229 | 0.715 | 0.225 | 0.167 | 0.855 | 0.294 | 0.177 | 0.784 | |||||||||
| 0.007 | 0.053 | 0.000 | 0.082 | 0.199 | 0.000 | 0.001 | 0.040 | 0.000 | ||||||||||
| fT | 0.465 | −0.402 | 0.418 | −0.255 | 0.402 | −0.318 | ||||||||||||
| 0.000 | 0.000 | 0.001 | 0.023 | 0.000 | 0.000 | |||||||||||||
| E2 | −0.101 | −0.022 | −0.058 | |||||||||||||||
| 0.200 | 0.432 | 0.251 | ||||||||||||||||
Standardized partial correlation coefficients were adjusted for age and alcohol consumption status (yes/no).
Log10-transformed MBP, LH, FSH, LH, fT, and E2.
Multiple regression analyses predicting levels of FSH, LH, fT, and LH in exposed, unexposed, and all workers.
| FSH | LH | fT | E2 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Exposed | Unexposed | All | Exposed | Unexposed | All | Exposed | Unexposed | All | Exposed | Unexposed | All | |
| Age | 0.257 | 0.585[ | 0.474[ | 0.305[ | 0.450[ | 0.383[ | −0.097 | −0.129 | −0.152 | −0.159 | −0.069 | −0.138 |
| BMI | — | — | — | — | — | — | 0.287 | — | — | — | — | |
| MBP | — | — | — | — | — | — | −0.257 | — | — | — | — | — |
| MEHP | — | — | — | — | — | — | — | −0.235[ | — | — | — | |
| Drinking alcohol | — | — | — | — | — | — | — | — | −0.230 | — | — | — |
| FSPC | — | — | — | — | — | — | — | — | — | 0.330[ | — | — |
| Adjusted | 0.159 | 0.331 | 0.219 | 0.081 | 0.19 | 0.14 | 0.058 | 0.084 | 0.098 | 0.012 | 0.09 | 0.019 |
| 0.001 | < 0.001 | < 0.001 | 0.008 | < 0.001 | < 0.001 | 0.045 | 0.043 | 0.001 | 0.177 | 0.022 | 0.109 | |
—, Excluded from model.
Values are beta coefficients except for R2 and p-value.
Age was forced in each model.
p < 0.10.
p < 0.05.
p < 0.01.