|Year : 2018 | Volume
| Issue : 6 | Page : 258-268
Estimated daily intake and cumulative risk assessment of phthalates in Taiwan military personnel
Nai-Yueh Ko1, Yuan-Ting C Lo1, Zu-Yi Sia2, Ya-Chi Lu1, Jhih-Yuan Wei2, Ming-Jhou Cai2, Hsiu-Ying Ku1, Senyeong Kao1, Hsien-Liang Su3, Junn-Liang Chang4, Han-Bin Huang1
1 National Defense Medical Center, School of Public Health, Taipei, Taiwan
2 National Defense Medical Center, Graduate Institute of Life Sciences, Taipei, Taiwan
3 Physical Examination Center, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
4 Department of Pathology and Laboratory Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
|Date of Submission||29-Apr-2018|
|Date of Decision||04-Jun-2018|
|Date of Acceptance||19-Jul-2018|
|Date of Web Publication||22-Oct-2018|
Dr. Han-Bin Huang
National Defense Medical Center, School of Public Health, 161 Minchuan East Road, Sec. 6, Taipei 114
Source of Support: None, Conflict of Interest: None
Background: Phthalate esters (PAEs), which may have potential adverse health effects, are widely used in industrial and consumer products. The public raised concerns of exposure to PAEs after di-2-ethylhexyl PAE (DEHP) had been illegally used in food products in Taiwan in 2011. However, there is little information regarding the exposure levels of PAEs among Taiwanese military personnel. Objective: Health risk assessment indicators, including daily intake (DI), hazard quotient (HQ), and hazard index (HI), were used to assess the distribution and trends of PAEs and cumulative risk in Taiwanese military personnel. Materials and Methods: We recruited 503 participants who participated in northern voluntary military service from June to August 2017. We calculated the DI of five PAEs, namely dimethyl PAE, diethyl PAE, dibutyl PAE (DBP), benzyl butyl phthalate, and DEHP, and selected the reference dose (RfD) described by the US Environmental Protection Agency (EPA) as an acceptable exposure reference value to compute the HQ and HI. We used statistical analysis to examine the differences and trends of PAE metabolites in urine and investigated the possible primary sources of PAEs with principal component analysis. Results: The detection rates of 7 PAE metabolite concentrations were ≥72.2%. All DIs, HQRfDs, and HIRfDs were not over the standard EPA RfD. For all participants, two principal components (PC) were extracted. Three DEHP metabolites and MBP were correlated with PC1, and MiBP and MnBP were correlated with PC2. Conclusions: The main potential sources of PAE exposure for Taiwanese military personnel are DEHP and DBP. Efforts to reduce exposure to environmental PAEs are necessary to maintain health within the military.
Keywords: Military, phthalates, cumulative risk
|How to cite this article:|
Ko NY, Lo YTC, Sia ZY, Lu YC, Wei JY, Cai MJ, Ku HY, Kao S, Su HL, Chang JL, Huang HB. Estimated daily intake and cumulative risk assessment of phthalates in Taiwan military personnel. J Med Sci 2018;38:258-68
|How to cite this URL:|
Ko NY, Lo YTC, Sia ZY, Lu YC, Wei JY, Cai MJ, Ku HY, Kao S, Su HL, Chang JL, Huang HB. Estimated daily intake and cumulative risk assessment of phthalates in Taiwan military personnel. J Med Sci [serial online] 2018 [cited 2019 Jun 27];38:258-68. Available from: http://www.jmedscindmc.com/text.asp?2018/38/6/258/239274
| Introduction|| |
Phthalate esters (PAEs), which are widely used in consumer products, are readily release polymers from plastic containers under high-temperature conditions. People are frequently exposed to PAEs through ingestion of food and water, dermal exposure, and inhalation of polluted air. Animal studies have reported carcinogenic effects; testicular and ovarian toxicity; and hormonal, hepatic, and renal effects post-PA exposure., Adverse health effects on humans depend on individual development stages and exposure duration. Long-term exposure to low doses of PAEs may lead to abdominal obesity, insulin resistance, and other systemic diseases. Such adverse effects may be caused by interference with the endocrine system (e.g., antiandrogens and thyroid hormones) or gene expression.,,,,,,
The public raised more concerns of exposure to PAEs after di-2-ethylhexyl PAE (DEHP) had been illegally used in food products in Taiwan in 2011. Subsequently, experts studied PAE exposure among Taiwanese populations,,,,,, health hazards, and food contamination. In addition, previous research indicated that young adults aged 20–40 years are often exposed to high levels of phthalates while compared to the other age groups in adults., This age group is the main population in the military and information concerning the levels of phthalates exposure and their distribution in demographic/occupational characteristics among the military personnel is finite. The previous nationwide studies investigated the phthalates exposure in community free-living population and excluded institutionalized persons, which is hard to obtain basic information in military population. The exposures circumstances or health effects related to army is unraveling. We do not have the PAEs exposure levels in army, and it is difficult for us to compare this exposure levels in both populations. To the best of our understanding, there is no study to explore the distribution and cumulative risk of phthalates exposure in Taiwanese military personnel. Thus, the purpose of this study was to determine the distribution of PAE metabolites in urine, daily intakes (DIs) of PAEs, and cumulative risk of exposure (hazard quotient [HQ]; hazard index [HI]) in military personnel.
| Materials and Methods|| |
Study participants and sampling
We recruited 503 participants who participated in northern voluntary military service and conducted annual physical examinations at the Health Evaluation Center of Taoyuan Armed Forces General Hospital from June to August 2017. In this cross-sectional study, all participants provided a morning spot urine sample. These samples were collected in disposable centrifuge glass tubes with screw caps and rubber liners. Participants completed a structured questionnaire about demographics, medical history, and personal health habits.
The participant recruitment and sampling processes were approved by the Institutional Review Board of the Tri-Service General Hospital, National Defense Medical Center (No. 2-106-05-021). The methods were performed in accordance with the approved guidelines. Informed consent was obtained from all the study participants before the study enrollment.
Measurement of urinary phthalate metabolites
Excluding four pregnant or breastfeeding women, three with thyroid dysfunction, two with diabetes, and 59 with urine creatinine levels outside the normal range of 0.3–3.0 g/L, we measured the concentrations of seven PAEs metabolites, namely monomethyl phthalate (MMP), monoethyl phthalate (MEP), mono-n-butyl phthalate (MBP), monobenzyl phthalate (MBzP), mono (2-ethylhexyl) phthalate (MEHP), mono (2-ethyl-5-oxohexyl) phthalate (MEOHP), and mono (2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) in the spot urine samples collected from 435 participants using solid-phase extraction (SPE) and high-performance liquid chromatography (Agilent Technologies, Santa Clara, CA, USA) tandem mass spectrometry (AB SCIEX, Framingham, MA, USA) (HPLC-MS/MS)., Creatinine was used to adjust for individual variations in urine concentration.
Procedural blanks were prepared at an interval of every ten samples to confirm whether contamination occurred during sample extraction. Duplicate injection administration and calibration check standards were performed for every ten samples to ensure accuracy and precision. For measurements, the concentrations below the limit of detection (LOD) were replaced by a default value of LOD divided by the square of 2. The value of recovery rate was ranged from 95% to 102% and the coefficients of variation were <5%.
Calculating daily intakes
The distributions of exposure to each PAE in Taiwanese military personnel were measured by calculating the DI for each PAE using the combined urinary PAE metabolite concentrations and individual age, body height, body weight, creatinine concentration, PAE molecular weight data, and other factors. The unit of DI is μg/kg/day, and it is calculated as follows:
Where UEsum is the molar urinary excretion of the respective metabolite in micromoles per gram creatinine. The smoothed creatinine excretion (CE) rates (CEsmoothed) are body height-and sex-based reference values for urinary CE according to the study by Mage et al. The molar fraction (FUE) describes the molar ratio between the excreted amounts of the specific metabolites of each phthalate corresponding to the dietary intake of the parent phthalate.
The FUE values for MMP, MEP, MBP, MBzP, MEHP, MEHHP, and MEOHP are 0.69, 0.69, 0.69, 0.73, 0.062, 0.0149, and 0.109, respectively.,,, MWPhthalate is the molecular weight of parent PAEs and bw is the body weight of each participant.
Cumulative risk assessment: hazard quotient and hazard index
We used the HQ to assess the participant's risk from each phthalate and used the HI to assess the participant's total risk from the PAE in question., The formula used was as follows:
Where ELi is the exposure level of PAEs, ALi is the reference limit value (RLV), and n is the number of PAEs with the same health effects. We used the reference dose (RfD) described by the US Environmental Protection Agency (EPA) as the RLV of this study. The RfD values of DEHP, dibutyl PAE (DBP), benzyl butyl phthalate (BBzP), diethyl PAE (DEP), and dimethyl PAE (DMP) are 0.002 mg/kg/day, 0.1 mg/kg/day, 0.2 mg/kg/day, 0.8 mg/kg/day, and 0.2 mg/kg/day, respectively.,,,, An HI <1 indicates no significant adverse effects from several chemicals exposure could happen.
Principle component analysis
We used principal component analysis (PCA) to identify potential sources of phthalates among seven phthalate metabolites (MMP, MEP, MBP, MBzP, MEHHP, MEOHP, and MEHP). PCA was implemented using a correlation matrix and maximum variation sampling, and factors with an eigenvalue >1 were extracted.
IBM SPSS Statistics version 20.0 for Windows (Chicago, Illinois, USA) was used to perform statistical analysis and statistical significance was defined as P < 0.05.
To assess the internal exposure to PAEs among military personnel, urinary PAE metabolite concentration and cumulative risk were investigated using the Kruskal–Wallis test, trend test, and Mann–Whitney U-test stratified by age (19–30 years, 31–40 years, and 4–-52 years; men and women were divided separately into each age group), service type (army, navy, and air force), seniority (<5 years, 6–10 years, 11–15 years, and >16 years), and sex (male and female).
| Results|| |
The study participants comprised 338 men (77.7%) and 47 women (22.3%), with an average age of 32.16 years. Among the participants, 384 served in the army, 22 in the navy, and 29 in the air force. The average time in service was 10.71 years, which included 120 participants (27.6%) who served for <5 years, 83 (19.1%) who served for 6–10 years, 123 (28.2%) who served for 11–15 years, and 109 (25.1%) who served for >16 years. Regarding health behaviors, 334 (76.8%) had no smoking habit, 421 (96.8%) did not consume betel nut, 231 (53.1%) had no drinking habits, and 419 (96.3%) exercised regularly [Table 1]. In addition, significant differences in the seniority, smoking habit, drinking alcohol, and physical activity between males and females were observed.
Urinary phthalate ester metabolite concentrations
The LOD of MMP, MEP, MBP, MBzP, MEHHP, MEOHP, and MEHP was 0.1 ng/mL, and the detection rates were 72.2%, 99.1%, 99.5%, 100%, 100%, 100%, and 95.2%, respectively.
In the unadjusted model, the median concentrations of the seven PAE metabolites were 0.615, 3.830, 4.240, 0.368, 2.040, 1.100, and 0.759 ng/mL, respectively. In the urinary creatinine-adjusted model, the median concentrations of the seven PAE metabolites were 0.411, 2.643, 2.980, 0.259, 1.582, 0.799, and 0.586 μg/g cr [Table 2]. Strong-to-weak significant positive correlations were found among all PAE metabolites, except MMP (data not shown).
|Table 2: Urinary phthalate esters metabolite concentrations in the study population (n=435)|
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Distribution of daily intake, hazard quotient, and hazard index
The maximum DIs of DMP, DEP, DBP, BBzP, and DEHP were 0.465, 15.46, 4.742, 0.292, and 5.582 μg/kg/day, respectively. All the DIs in this study did not exceed the standard values of EPA RfD (200 μg/kg/day for DMP, 800 μg/kg/day for DEP, 100 μg/kg/day for DBP, 200 μg/kg/day for BBzP, and 20 μg/kg/day for DEHP). Therefore, the HQRfD of each PAE also did not exceed 1. This indicates that the individual exposure risk of the five PAEs in this study may not have adverse health risk. The maximum HIRfD, which was obtained by summing the HQRfD values of DMP, DEP, DBP, BBzP, and DEHP, was 0.280, which did not exceed 1. This also indicates that the cumulative exposure risk of the five PAEs in this study may not have adverse health risk [Table 3].
|Table 3: The distribution of hazard quotient reference dose and hazard index reference dose (n=435)|
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In terms of age and seniority stratification, the median DI and HQRfD were not significantly different between the groups. Similarly, no significant difference in trend was observed [Table 4]. However, in terms of service hierarchy, the DIs (0.325, 0.319, and 0.226 μg/kg/day, respectively) and HQRfD(0.325, 0.319, and 0.226, respectively) of DEHP for the army, navy, and air force were significantly different (P = 0.037) [Supplementary Table 1].
|Table 4: The daily intakes and hazard quotient reference dose by (A) age stratified, (B) services stratified, and (C) seniority stratified (n=435)|
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After sex and age stratification, the median DI and HQRfD of DMP were significantly different between the female age groups (P = 0.043). In addition, the DIs of DBP and BBzP increased with increasing age in women (P for these trends were 0.003 and 0.005). However, no statistical differences were observed in the trends among men. Significant differences were noted in the median DI and HQRfD of DMP, BBzP, and DEHP in the 31–40 years group by sex (P = F 0.002, 0.0005, and 0.006, respectively), and men generally had higher DI and HQRfD values than women [Table 5].
|Table 5: The Daily intakes and Hazard Quotient reference dose by gender and age stratified (n=435)|
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In terms of age stratification, the major contributor of HQRfD was DEHP and followed by DBP and DEP [Figure 1]. In terms of service stratification, the major contributor of HQRfD was DEHP, followed by DBP and DEP. In terms of seniority stratification, the major contributor of HQRfD was DEHP, followed by DBP and DEP. After sex and age stratification, the major contributor of HQRfD was DEHP, followed by DBP and DEP. Among the five PAEs contributing to HQRfD, the major contributor was DEHP, followed by DBP and DEP in all participants stratified by age, service, seniority, and sex.
|Figure 1: Contribution of different PAEs to hazard quotient. (a) Age stratified, (b) Service stratified, (c) Seniority stratified, (d) Age and Sex stratified|
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Principle component analysis
We evaluated the exposure profile of PAEs in all participants stratified by sex and age [Figure 2].
|Figure 2: Principal component analysis of seven urinary phthalate metabolites. (a) All participants: 47.6%, (b) male: 67.2%, (c) female: 66.6%, (d) 19–30 years old: 64.8%, (e) 31–40 years old: 55.0%, (f) 41–50 years old: 63.4%|
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For all participants, two principal components (PCs) were extracted, which accounted for 32.2% (PC1) and 15.4% (PC2) of the variability. This indicated two major potential sources of PAEs among Taiwanese military personnel. The three DHEP metabolites MEHHP, MEOHP, and MEHP and MBP were correlated with PC1, and MEP and MBzP were correlated with PC2.
Three PCs were extracted from men, which accounted for 38.4% (PC1), 14.5% (PC2), and 14.3% (PC3) of the variability. The three DEHP metabolites (MEHHP, MEOHP, and MEHP) were correlated with PC1, MEP was correlated with PC2, and MMP was correlated with PC3. Three PCs were extracted from women, which accounted for 31% (PC1), 20.5% (PC2), and 15.1% (PC3) of the variability. MEP and MEHP were correlated with PC1; MBP, MBzP, and MEOHP were correlated with PC2; and MMP and MEHHO were correlated with PC3.
After age stratification, three PCs were extracted from the 19 to 30 age group, which accounted for 32.8% (PC1), 17% (PC2), and 15% (PC3) of the variability. The three DEHP metabolites (MEHHP, MEOHP, and MEHP) were correlated with PC1; MBP and MBzP were correlated with PC2; and MEP was correlated with PC3. Two PCs were extracted from the 31 to 40 age group, which accounted for 40% (PC1) and 15% (PC2) of the variability. The three DEHP metabolites, MBP and MBzP were correlated with PC1 and MEP was correlated with PC2. Two PCs were extracted from the 41 to 52 age group, which accounted for 40.9% (PC1) and 22.5% (PC2) of the variability. MEP, MBP, and MBzP were correlated with PC1; and the three DEHP metabolites (MEHHP, MEOHP, and MEHP) were correlated with PC2.
In service stratification, the results of the army and navy group are similar to all participants, but there is a little different in the air force. We also observed similar patterns in seniority stratification (data not shown).
| Discussion|| |
Our findings show that participants' PAEs exposure for DIs, HQRfDs, and HIRfDs were not over the standard EPA RfD. Moreover, two principal components (PC) were extracted. Three DEHP metabolites and MBP were correlated with PC1 and MEP and MBzP were correlated with PC2.
Urinary phthalate ester metabolite concentrations
Using similar age groups, Huang et al. studied PAE exposure in the general Taiwanese population in 2013. The MBzP concentration reported in the 18–39-year-old Taiwanese population in their study was similar to that found in this study; however, other values were higher than those in this study. In addition, results obtained in Norwegian (20–66 years old), Belgian (20–39 years old), and Canadian (20–49 years old) populations were all higher than those obtained in this study [Supplementary Table 2].,, This could be caused by racial and regional differences and may be influenced by different life patterns and exposure status found in the military.
Distribution of daily intake, hazard quotient, and hazard index
Compared with the DIs of the general population with similar age groups (18–39 years old stratified by sex) reported in a study by Chang et al., the DIs in this study were lower, except for BBzP. However, the exposure trends were similar since the highest DIs were obtained for DEHP in both the studies, followed by DBP and DEP.
The results of a study by Giovanoulis et al. in Norway on individuals aged 20–66 years were similar to those of this study in that the DIs obtained in both the studies were lower than the RfD standard. However, the highest DI in the Norwegian study was obtained for DEP, followed by DBP. In addition, Christensen et al. studied 18–39-year-olds in the United States, and the DIs of DEHP, DBP, and BBzP were lower than those obtained in this study [Supplementary Table 3].
The HQs and HIs of DMP, DEP, DBP, BBzP, and DEHP were lower than the standard. Compared with the general population with similar age groups in Taiwan in a study by Chang et al., the HIRfD of one man and one woman (18 years or older) exceeded 1 (0.75% and 0.64%, respectively); whereas the study by Christensen et al. found that the 95th percentile HITDI exceeded 1.
Exposure sources of phthalate esters
The results of this study are similar to those of the general population studies in mainland China, Taiwan, and Belgium.,,, The main potential source of PAEs is DEHP and other studies indicate that DEHP exposure is closely related to diet., For the military personnel in this study, diet may be the most important source of PAEs exposure. The sources of MBP and MBzP include food packaging materials, paints, and lacquers., However, the main source of MEP may be personal hygiene products., In addition, DMP content is higher in dairy products, instant noodles, cakes, and salted eggs.
Limitations and advantages
The limitations of this study are as follows: (1) the study sample comprised healthy young people who lead a regular life in closed working conditions. As such, the results may not be extrapolated to other ethnic groups; (2) the participants were volunteers who may have better health consciousness, which may have caused selection bias; (3) the PAE metabolite concentrations in this study were obtained from spot urine samples and adjusted with creatinine. The DIs, HQs, and HI were calculated with US RfD. Consequently, these values should be discussed and compared with other research results conservatively; and (4) the studying population was from northern military personnel and did not infer to whole military population. The future studies are needed to explore PAEs levels around other area in the military.
Problems concerning PAE exposure in military personnel have been less investigated. This is the first study to explore the distribution of PAE exposure in Taiwanese military personnel. The study results could elucidate the PAE exposure status in the military and whether these organizations require assistance in reducing PAE exposure.
| Conclusions|| |
The main potential sources of PAE exposure in northern military personnel are DEHP and DBP, which are widely used in food packaging. Therefore, we recommend that measures about how to reduce dietary intake of PAEs (including through washing hands before meals, reducing the use of plastic-packaged foods, and selecting containers that are clearly marked and safe) should be encouraged and added to all health education opportunities.
The respective exposure risks (DI and HQ) of DMP, DEP, DBP, BBzP, and DEHP and cumulative risks (HI) did not exceed the standard EPA RfD. However, the study participants were limited to northern military personnel. Future research should determine the general status of PAE exposure across the entire Taiwanese military by recruiting an equal ratio of participants from seven combat zones. The obtained results could also elucidate whether differences in PAE exposure exist between different regions.
Financial support and sponsorship
The project was financially supported by the Ministry of National Defense (MAB-107-067; MAB-106-097).
Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5]