| Literature DB >> 25996772 |
Cheng Xu1, Qian Liu1, Hui Liu1, Paul Héroux2, Qunwei Zhang3, Zhao-Yan Jiang4, Aihua Gu1.
Abstract
BACKGROUND: Little is known regarding the effects of environmental exposure of chemicals on androgenic system in the general population. We studied 5,107 subjects included in the National Health and Nutrition Examination Survey (2011-2012).Entities:
Mesh:
Substances:
Year: 2015 PMID: 25996772 PMCID: PMC4440739 DOI: 10.1371/journal.pone.0127451
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Schematic diagram depicting the number of adult subjects who participated in the NHANES 2011–2012 and environmental chemical subclasses that were analyzed.
The number of subjects varied mostly because of missing response variables.
Characteristics of 2543 adult men by testosterone in NHANES 2011–2012.
| Characteristics | Low testosterone | High testosterone (n = 1,270) | P-value |
|---|---|---|---|
|
| 49.88±18.11 | 44.27±18.66 | <0.001 |
|
| 140.01±79.29 | 138.18±90.78 | 0.258 |
|
| 8.46±19.15 | 14.31±32.53 | 0.004 |
|
| 0.312 | ||
|
| 138 (10.8) | 141 (11.1) | |
|
| 130 (10.2) | 117 (9.2) | |
|
| 499 (39.2) | 460 (36.2) | |
|
| 292 (22.9) | 330 (26.0) | |
|
| 214 (16.8) | 222 (17.5) | |
|
| 30.37±6.44 | 26.09±4.69 | <0.001 |
| | <0.001 | ||
| | 244 (19.2) | 572 (45.0) | |
| | 452 (35.5) | 452 (35.6) | |
| | 561 (44.1) | 232 (18.3) | |
|
| 2.53±1.67 | 2.39±1.66 | 0.045 |
| | 0.347 | ||
| | 389 (30.6) | 422 (33.2) | |
| | 394 (31.0) | 393 (30.9) | |
| | 373 (29.3) | 349 (27.5) | |
|
| 53.96±130.28 | 76.75±138.23 | <0.001 |
| | <0.001 | ||
| | 352 (27.7) | 238 (18.7) | |
| | 613 (48.2) | 585 (46.1) | |
| | 307 (24.1) | 445 (35.0) |
a Values are mean ± SD for continuous and n (%) for categorical variables.
b Chi-square for categorical variables; t-test (for normally distributed) or Wilcoxon–Mann–Whitney (for non-normal distribution) for continuous variables.
Adjusted ORs (95% CIs) for levels of lower serum testosterone by exposure quartile for pollutant subclasses in adult men.
| Quartile [OR (95% CI)] | |||||||
|---|---|---|---|---|---|---|---|
| Chemical subclass | n | Chemicals screened/analyzed | First | Second | Third | Fourth | p-value Trend |
|
| 836 | 13/12 | Ref | 0.98(0.59, 1.63) | 0.84(0.49, 1.45) | 1.65(0.87, 3.12) |
|
|
| 833 | 28/19 | Ref | 1.28(0.76, 2.15) | 1.33(0.74, 2.36) | 1.49(0.73, 3.04) |
|
|
| 833 | 3/3 | Ref | 1.40(0.85, 2.31) | 1.57(0.89, 2.76) | 2.15(1.13, 4.07) | 0.245 |
|
| 840 | 2/2 | Ref | 1.13(0.68, 1.89) | 1.12(0.66, 1.90) | 1.17(0.68, 2.03) | 0.286 |
|
| 840 | 4/4 | Ref | 1.84(1.12, 3.04) | 1.52(0.91, 2.54) | 1.67(0.97, 2.88) | 0.177 |
|
| 832 | 3/3 | Ref | 0.91(0.55, 1.50) | 0.94(0.57, 1.56) | 0.77(0.46, 1.30) | 0.712 |
|
| 2541 | 5/5 | Ref | 1.11(0.67, 1.84) | 0.58(0.35, 0.96) | 0.59(0.35, 0.99) | 0.156 |
|
| 824 | 12/6 | Ref | 1.01(0.61, 1.67) | 0.85(0.51, 1.40) | 1.19(0.71, 2.00) | 0.494 |
|
| 833 | 10/10 | Ref | 1.70(1.01, 2.86) | 1.20(0.70, 2.08) | 1.44(0.74, 2.79) | 0.961 |
|
| 839 | 1/1 | Ref | 0.64(0.38, 1.07) | 0.92(0.53, 1.60) | 0.72(0.41, 1.27) | 0.654 |
|
| 840 | 3/3 | Ref | 0.93(0.56, 1.55) | 1.40(0.83, 2.36) | 1.01(0.58, 1.74) | 0.610 |
|
| 840 | 14/12 | Ref | 0.90(0.54, 1.49) | 0.99(0.57, 1.73) | 1.25(0.71, 2.22) | 0.970 |
|
| 839 | 1/1 | Ref | 1.64(0.97, 2.75) | 1.36(0.79, 2.34) | 1.27(0.72, 2.25) | 0.886 |
|
| 840 | 8/2 | Ref | 1.56(0.93, 2.61) | 1.33(0.77, 2.28) | 1.23(0.67, 2.25) | 0.875 |
|
| 2539 | 3/1 | Ref | 1.06(0.65, 1.72) | 0.97(0.59, 1.61) | 0.81(0.48, 1.39) | 0.499 |
Ref: referent. ORs were adjusted for age (years), race (Mexican American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, and Non-Hispanic Black), poverty income ratio (tertiles), alcohol (gram), creatinine (mg/dL), cotinine (tertiles) and BMI (tertiles). Serum and blood chemicals were adjusted above-mentionedsame covariants expect for the creatininevariable.
Fig 2Adjusted ORs and 95% CIs for testosterone levels by increasing quintiles of urinary mandelic acid (A) and strontium (B).
*P<0.05.