| Literature DB >> 33051516 |
Tae-Woo Lee1, Dae Hwan Kim1, Ji Young Ryu2.
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are environmental and occupational pollutants derived from incomplete combustion of organic materials, including wood and fossil fuels. Epidemiological studies have evaluated the association between PAH exposure and hypertension or cardiovascular disease in the general population, but the evidence is limited. In this study, we evaluated the association between urinary PAH metabolites and hypertension in the Korean adult population. A total of 6478 adults who participated in the Second Korean National Environmental Health Survey (2012-2014) were included. The differences in urinary concentrations of four PAH metabolites, including 1-hydroxypyrene, 2-hydroxyfluorene, 1-hydroxyphenanthrene, and 2-naphthol, were compared according to hypertension status using a general linear model. Adjusted odds ratios (aORs) for hypertension were calculated according to the quartile groups of urinary PAH metabolites after adjusting for age, sex, body mass index (BMI), smoking, and alcohol consumption in multiple logistic regression analyses. The estimated mean concentrations of urinary 1-hydroxyphenanthrene were significantly higher in the hypertension group than in the non-hypertension group. In 1-hydroxyphenanthrene, the OR for hypertension was significantly higher in the third and fourth quartile groups than in the first quartile group (third: OR 1.707, 95% CI 1.203-2.423, fourth: OR 1.604, 95% CI 1.158-2.223). No significant associations were detected for the other metabolites. Our results suggest an association between exposure to PAHs and hypertension in a Korean adult population. Further studies are required to evaluate the effects of low-dose long-term exposure to PAHs on hypertension and cardiovascular disease.Entities:
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Year: 2020 PMID: 33051516 PMCID: PMC7555493 DOI: 10.1038/s41598-020-74353-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Demographic characteristics of the study population (n = 6478).
| Variable | Estimated mean ± SE or sample size (%) |
|---|---|
| Age (years) | 46.3 ± 0.4 |
| Male | 3187 (49.2) |
| Female | 3291 (50.8) |
| BMI (kg/m2) | 24.1 ± 0.1 |
| Nonsmoker | 4064 (62.7) |
| Ex-smoker | 1022 (15.8) |
| Current smoker | 1392 (21.5) |
| Yes | 2285 (35.3) |
| No | 4193 (64.7) |
| Hypertensiona | 1016 (41.1) |
aThe response rate for the questionnaire item related to cardiovascular disease was 46.2% (n = 2999).
Estimated percentiles of the urinary polycyclic aromatic hydrocarbon metabolites (ng/g creatinine).
| Metabolite | 5th percentile | 25th percentile | 50th percentile | 75th percentile | 95th percentile |
|---|---|---|---|---|---|
| 1-Hydroxypyrene | 60 | 128 | 201 | 312 | 652 |
| 2-Hydroxyfluorene | 92 | 188 | 310 | 705 | 2052 |
| 1-Hydroxyphenanthrene | 40 | 78 | 121 | 193 | 381 |
| 2-Naphthol | 543 | 1328 | 2802 | 7394 | 20,636 |
Estimated geometric means for urinary polycyclic aromatic hydrocarbon metabolites (µg/g creatinine) by hypertension.
| Metabolite | Mean (95% CI) | ||
|---|---|---|---|
| HTN(−) | HTN( +) | ||
| 1-Hydroxypyrene | 0.216 | 0.222 | 0.531 |
| 95% CI | 0.203–0.230 | 0.208–0.236 | |
| 2-Hydroxyfluorene | 0.356 | 0.385 | 0.124 |
| 95% CI | 0.331–0.382 | 0.353–0.419 | |
| 1-Hydroxyphenanthrene | 0.128 | 0.152 | < 0.001 |
| 95% CI | 0.121–0.135 | 0.144–0.160 | |
| 2-Naphthol | 3.235 | 3.219 | 0.930 |
| 95% CI | 2.975–3.518 | 2.942–3.522 | |
HTN hypertension.
Multiple logistic regression analyses of urinary polycyclic aromatic hydrocarbon metabolites and hypertension.
| Metabolite | Adjusted odds ratioa | 95% confidence interval | |
|---|---|---|---|
| 0.716 | |||
| ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.072 | 0.742–1.548 | |
| 50–75th percentile | 1.235 | 0.882–1.728 | |
| > 75th percentile | 0.876 | 0.626–1.227 | |
| Continuousb | 0.912 | 0.791–1.052 | |
| 0.568 | |||
| ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.152 | 0.807–1.645 | |
| 50–75th percentile | 0.934 | 0.667–1.308 | |
| > 75th percentile | 1.292 | 0.839–1.989 | |
| Continuousb | 1.105 | 0.949–1.287 | |
| 0.002 | |||
| ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.334 | 0.930–1.916 | |
| 50–75th percentile | 1.707 | 1.203–2.423 | |
| > 75th percentile | 1.604 | 1.158–2.223 | |
| Continuousb | 1.241 | 1.063–1.449 | |
| 0.634 | |||
| ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 0.944 | 0.696–1.280 | |
| 50–75th percentile | 0.876 | 0.657–1.169 | |
| > 75th percentile | 0.967 | 0.699–1.339 | |
| Continuousb | 0.963 | 0.879–1.055 |
aAdjusted for age, sex, BMI, smoking status, and drinking status.
bLog-transformed concentration of urinary PAH metabolite.
Association between hypertension and the mixture of four PAH metabolites.
| Odds ratio | 95% confidence interval | Positivea | Negativeb | ||
|---|---|---|---|---|---|
| Hypertension | 1.091 | 0.963–1.235 | 0.168 | 0.117 | − 0.0297 |
Quantile g-computation model; adjusted for age, sex, BMI, and smoking status.
aSum of positive coefficients.
bSum of negative coefficients.
Figure 1Weights of each PAH metabolite by quantile g-computation regression for hypertension. 1-PHE 1-Hydroxyphenanthrene, 2-FLU 2-hydroxyfluorene, 1-PYR 1-hydroxypyrene, 2-NAP 2-naphthol.
Associations between urinary 1-hydroxyphenanthrene and hypertension by gender and smoking status.
| Potential covariate | 1-Hydroxyphenanthrene | Adjusted odds ratioa | 95% confidence interval | |
|---|---|---|---|---|
| Men (n = 3187) | ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.368 | 0.834–2.243 | 0.214 | |
| 50–75th percentile | 2.198 | 1.325–3.649 | 0.002 | |
| > 75th percentile | 1.991 | 1.183–3.350 | 0.010 | |
| Women (n = 3291) | ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.219 | 0.720–2.062 | 0.460 | |
| 50–75th percentile | 1.185 | 0.723–1.945 | 0.500 | |
| > 75th percentile | 1.207 | 0.780–1.869 | 0.397 | |
| Nonsmoker (n = 4064) | ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.400 | 0.873–2.245 | 0.163 | |
| 50–75th percentile | 1.437 | 0.905–2.281 | 0.124 | |
| > 75th percentile | 1.509 | 0.985–2.311 | 0.058 | |
| Ex-smoker (n = 1022) | ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.030 | 0.547–1.940 | 0.927 | |
| 50–75th percentile | 2.282 | 1.093–4.762 | 0.028 | |
| > 75th percentile | 1.279 | 0.664–2.465 | 0.461 | |
| Current smoker (n = 1392) | ≤ 25th percentile | 1 (Reference) | ||
| 25–50th percentile | 1.468 | 0.361–5.965 | 0.591 | |
| 50–75th percentile | 2.041 | 0.566–7.351 | 0.274 | |
| > 75th percentile | 2.145 | 0.600–7.662 | 0.239 | |
aAdjusted for age, BMI, smoking status, and drinking status.
bAdjusted for age, sex, BMI, and drinking status.