| Literature DB >> 35095770 |
Luchen Yang1, Zhenghuan Liu1, Zhufeng Peng1, Pan Song1, Jing Zhou1, Linchun Wang1, Junhao Chen1, Qiang Dong1.
Abstract
30% of men suffer from benign prostatic hyperplasia (BPH) worldwide. As one of the most important members of Phthalate esters, previous studies suggested ubiquitous Di-(2-ethylhexyl) phthalate (DEHP) exposure is associated with such male disorders by interfering with endocrine system, however, little is known about the association between DEHP exposure and BPH. The objective of this study was to study the potential association by the 2001-2008 National Health and Nutrition Examination Survey (NHANES) data. The data was collected, and multiple logistic regression was adapted to measure the association. The concentrations of DEHP (∑DEHP) were calculated by each metabolite and split into quartiles for analysis. Results showed that the odds ratio (OR) decreased with increased ∑DEHP concentration. In the crude model, the OR for the second quartile (OR = 1.60, 95%CI [1.24, 2.07]) was obviously higher compared with the lowest quartile. However, the OR for the highest quartile (OR = 0.55, 95%CI [0.44,0.69]) was lower than that for the third quartile (OR = 0.77, 95%CI [0.61, 0.97]), and the OR for the third and the highest quartile were significantly lower than that of the lowest quartile, which suggested biphasic effects of DEHP based on concentration. The results showed the same trend after adjusting confounding factors. The study suggested that the DEHP exposure is associated with DEHP, and the results adds limited evidence to study this topic, however, further researches are needed to determine if the status of BPH can be changed by controlling DEHP exposure.Entities:
Keywords: NHANES; benign prostatic hyperplasia (BPH); biphasic effects; di-(2-ethylhexyl) phthalate (DEHP); phthalates
Mesh:
Substances:
Year: 2022 PMID: 35095770 PMCID: PMC8792961 DOI: 10.3389/fendo.2021.804457
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Study population characteristics by BPH status; NHANES 2001–2008.
| BPH status | ||
|---|---|---|
| No | Yes | |
| Population | 72 | 208 |
| Urine Creatinine (mg/dl) | 137.4 | 119.9 |
| AGE (years) | 75.1 | 67.7 |
| BMI (kg/m2) | 28.4 | 29.1 |
| Serum Testosterone (ng/dl) | 4.5 | 4.4 |
| Race/ethnicity(%) | ||
| Mexican American | 13.2 | 7.9 |
| Other Hispanic | 4.2 | 4.9 |
| Non-Hispanic White | 63.5 | 72.5 |
| Non-Hispanic Black | 16.2 | 12.8 |
| Other Race | 2.9 | 2 |
| Education(%) | ||
| Less than high school | 44.1 | 22.6 |
| High School Grad/GED or Equivalent | 15.6 | 23.7 |
| More than high school | 40.3 | 53.8 |
| Marital Status (%) | ||
| Married | 70.9 | 76.6 |
| Single | 24.9 | 21.6 |
| Living with a partner | 4.1 | 1.8 |
| Hypertension Status (%) | ||
| Yes | 57.9 | 56.3 |
| No | 42.1 | 43.7 |
| Diabetes Status(%) | ||
| Yes | 17.9 | 16.1 |
| No | 82.1 | 83.9 |
| Coronary Heart Disease Status (%) | ||
| Yes | 11.6 | 15.2 |
| No | 88.4 | 84.8 |
| Smoke at Least 100 Cigarettes in Life | ||
| Yes | 72.1 | 67.7 |
| No | 27.9 | 32.3 |
| ∑2.3e at Least 100 | ||
| Lowest Quartile | 22.3 | 25.6 |
| Second Quartile | 15.4 | 28.1 |
| Third Quartile | 27.7 | 24.4 |
| Highest Quartile | 34.6 | 21.9 |
Mean and Median of creatinine-corrected DEHP metabolites by BPH status; NHANES 2001–2008.
| BPH status | ||||
|---|---|---|---|---|
| No n = 72 | Yes n = 208 | |||
| Mean (SE) | Median (IQR) | Mean (SE) | Median (IQR) | |
| (ng/mg crt) | (ng/mg crt) | (ng/mg crt) | (ng/mg crt) | |
| MEHP | 2.9 (1.1) | 2.7 (2.1-3.7) | 2.9 (1.0) | 2.8 (2.2-3.5) |
| MEHHP | 5.3 (1.0) | 5.2 (4.6-5.9) | 5.1 (1.0) | 5.0 (4.5-5.7) |
| MEOHP | 4.9 (1.0) | 4.9 (4.3-5.4) | 4.6 (1.0) | 4.6 (4.0-5.1) |
| MECCP | 5.8 (1.0) | 5.9 (5.1-6.3) | 5.6 (1.0) | 5.5 (5.0-6.0) |
| ∑DEHP | 6.8 (1.0) | 6.9 (6.2-7.4) | 6.6 (1.0) | 6.5 (6.0-7.1) |
Association [OR (95% CI)] between creatinine-corrected DEHP metabolites and BPH; NHANES 2001–2008.
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| ∑DEHP | 280 | 280 | 280 |
| Q1: <6.07 ng/mg crt | Referent | Referent | Referent |
| Q2: 6.07-6.57 ng/mg crt | 1.60 (1.24, 2.07) | 1.82 (1.36, 2.43) | 1.73 (1.28, 2.35) |
| Q3: 6.58-7.17 ng/mg crt | 0.77 (0.61, 0.97) | 0.75 (0.58, 0.97) | 0.76 (0.58, 0.99) |
| Q4: >7.17 ng/mg crt | 0.55 (0.44, 0.69) | 0.52 (0.40, 0.67) | 0.51 (0.39, 0.67) |
| p trend | <0.001 | <0.001 | <0.001 |
| MEHHP | 280 | 280 | |
| Q1: <4.53 ng/mg crt | Referent | Referent | Referent |
| Q2: 4.53-5.08 ng/mg crt | 1.24 (0.97, 1.59) | 1.40 (1.06, 1.86) | 1.40 (1.04, 1.89) |
| Q3: 5.09-5.70 ng/mg crt | 0.73 (0.58, 0.91) | 0.60 (0.47, 0.78) | 0.62 (0.48, 0.81) |
| Q4: >5.70 ng/mg crt | 0.65 (0.52, 0.81) | 0.59 (0.46, 0.76) | 0.61 (0.47, 0.80) |
| p trend | <0.001 | <0.001 | <0.001 |
| MEHP | 280 | 280 | 280 |
| Q1: <2.15 ng/mg crt | Referent | Referent | Referent |
| Q2: 2.15-2.81 ng/mg crt | 1.24 (0.99, 1.55) | 1.35 (1.05, 1.73) | 1.27 (0.97, 1.67) |
| Q3: 2.82-3.50 ng/mg crt | 2.24 (1.75, 2.85) | 1.90 (1.45, 2.48) | 1.93 (1.47, 2.54) |
| Q4: >3.50 ng/mg crt | 1.05 (0.85, 1.30) | 0.82 (0.64, 1.04) | 0.84 (0.65, 1.09) |
| p trend | 0.06 | 0.46 | 0.88 |
| MEOHP | 280 | 280 | 280 |
| Q1: <4.03 ng/mg crt | Referent | Referent | Referent |
| Q2: 4.03-4.62 ng/mg crt | 1.31 (1.01, 1.69) | 1.54 (1.16, 2.05) | 1.42 (1.05, 1.92) |
| Q3: 4.62-5.18 ng/mg crt | 0.80 (0.63, 1.01) | 0.83 (0.64, 1.08) | 0.76 (0.58, 0.99) |
| Q4: >5.18 ng/mg crt | 0.44 (0.35, 0.55) | 0.39 (0.30, 0.50) | 0.37 (0.28, 0.48) |
| p trend | <0.001 | <0.001 | <0.001 |
| MECCP | 280 | 280 | 280 |
| Q1: <5.06 ng/mg crt | Referent | Referent | Referent |
| Q2: 5.06-5.57 ng/mg crt | 1.22 (0.95, 1.57) | 1.45 (1.10, 1.92) | 1.37 (1.02, 1.82) |
| Q3: 5.58-6.16 ng/mg crt | 1.10 (0.86, 1.40) | 1.05 (0.80, 1.36) | 0.97 (0.73, 1.27) |
| Q4: >6.16 ng/mg crt | 0.45 (0.36, 0.57) | 0.39 (0.30, 0.51) | 0.40 (0.31, 0.53) |
| p trend | <0.001 | <0.001 | <0.001 |
Q, quartile. For each of the metabolites, Q1 is the reference. Model1 adjusted for no variable, which represented our crude model; Model2 adjusted for socio-demographic factors (age, race/ethnicity, education, marital status); Model3 adjusted for socio-demographic factors plus BMI, serum testosterone concentration, hypertension status, diabetes status, coronary heart disease status, and smoke condition.