Endocrine disrupting chemicals are synthetic compounds that can interfere with endocrine and reproductive systems, and they are commonly found in products used in everyday life [1]. These chemicals are used in the manufacture of a wide variety of industrial and common household products. Phthalates—or benzene-1,2-dicarboxylic acid and its esters, such as diisooctyl esters—are used as plasticizers to increase flexibility, stability, and durability, and they are commonly used ingredients in plastic manufacturing. Phthalates can be found in plastic products, such as children’s toys, child care products, cosmetics, personal care products, medical devices, food packaging, poly(vinyl chloride) (PVC) plastics, building materials, and automotive components [2]. Low-molecular-weight phthalates, including di-
Low-molecular-weight phthalates are metabolized in various ways: diester phthalates are hydrolyzed by esterases and lipases in the intestine to their respective monoester phthalates and excreted in urine and feces. High-molecular-weight phthalates are further metabolized from monoesters via hydroxylation or oxidation to produce a number of oxidative metabolites that are then excreted in urine within 24 h of exposure. Furthermore, oxidative metabolites can conjugate to form hydrophilic glucuronide conjugates, which are also excreted in urine [9, 10]. Therefore, measurement of urinary phthalate metabolites is the best way to determine the level of phthalate exposure. The biomarkers for exposure to DMP and DBP are monomethyl phthalate (MMP) and mono-
For these reasons, many countries now have a heightened level of concern about the hazards of exposure to phthalates, especially in children. Because children are considered vulnerable persons, laws that prohibit the use of phthalates in toys and products intended for children have been enacted. Such laws came into effect in the European Union in 2005, in the USA in 2008, and in Canada in 2011; however, no such restrictions have been put in place in Thailand. Moreover, data relating to phthalate exposure among children and adolescents in Thailand are scarce.
Accordingly, the aim of the present study was to investigate the level of phthalate exposure in Thai children and adolescents by determining phthalate metabolite levels in urine samples. A secondary aim was to study the associations between both sociodemographic data and exposure to potential sources of phthalates and urinary phthalate metabolite concentrations.
After our study protocol was approved by the Institutional Review Board (IRB) of the Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand (IRB No. 538/58), we enrolled 231 healthy children aged 2–18 y into the present cross-sectional study during the recruitment period from January 2016 to December 2016. The opportunity to join the study was promoted on a website that is supported by the Department of Paediatrics, Faculty of Medicine, Chulalongkorn University. Children with any of the following conditions were excluded: acute kidney injury, chronic kidney disease, inability to urinate voluntarily, or chronic illness. Only children with a fully completed questionnaire and a morning urine sample containing at least 50 mL of urine in a phthalate-free polypropylene tube were included. Seven children with an incomplete questionnaire and 3 children with inadequate amounts of urine were excluded. Patient data were collected on the date of urine collection and no follow-up visit was required. Written informed consent was obtained from the parent(s) or legal guardian(s) of each child, and assent was obtained from all children aged ≥8 y.
Pubertal stage was assessed according to Marshall and Tanner criteria, which defines development of puberty by physical examination based on pubic hair growth, genitalia development in boys, and breast development in girls. Pubertal stage was determined in each child based on line drawings created by the parent(s). Tanner II genitalia in boys and Tanner II breasts in girls were regarded as pubertal onset. Weight was measured without shoes and in light clothing using a digital electronic scale, and height was measured using a stadiometer. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared (kg/m2). Age- and gender-specific BMI
A morning urine sample was collected from each child into a phthalate-free polypropylene tube on the day of examination at King Chulalongkorn Memorial Hospital. When the urine sample was received for analysis at the School of Pharmacy, Walailak University (Nakhon Si Thammarat, Thailand), a 5 mL aliquot was sent to determine creatinine (Cr) level, and the remaining sample was stored at –20°C until assay of the metabolites. Urine samples were analyzed for MMP and MBP using high-performance liquid chromatography (HPLC).
A standard stock solution for each analyte was prepared at 400 mg/mL acetonitrile and stored at –20°C until use. Urine samples were stored in 15 mL centrifuge tubes at –20°C until analysis and then thawed at 25°C. An aliquot (1 mL) of urine was placed into a 10 mL, glass vial, dried under a stream of nitrogen gas, and reconstituted with 100 mL of acetonitrile–acetic acid (99.9/0.1, v/v). The resulting turbid solution was then centrifuged at 13,000 rpm for 5 min, which resulted in sedimentation of the precipitate. The clear supernatant was then assayed using HPLC.
MMP and MBP were obtained from Sigma-Aldrich at purities of >97.0%. Chromatographic grade acetonitrile and acetic acid (glacial) were purchased from Merck. Millipore-Q ultrapure water (18.20 mΩ.cm–1, 25°C) was used to prepare all aqueous media (Merck Millipore). Chromatographic analysis was performed using an ultra-HPLC system (Dionex Ultimate 3000, Thermo Fisher Scientific). A stock standard solution for each analyte was prepared at 400 μg/mL in acetonitrile and stored at –20°C. Calibration standards were prepared by fortifying MMP and MBP in blank urine in the concentration range 0.1–10 μg/mL. The standard solutions were then treated in the same manner as urine samples before analysis. Chromatographic data were acquired and processed using Chromeleon software (Thermo Fisher Scientific). A Sepex GP-C18 column (1.8 μm, 2.1 mm Ø × 100 mm) was used for chromatographic separation of phthalates. The mobile phase consisted of acetonitrile-acetic acid (99.9/0.1, v/v) and water, which were designated as A and B, respectively [30]. The gradient elution program was as follows: from 0 to 5 min, 30% A; linear increase to 90% A, from 5 to 7 min; linear decrease to 30% A; and, stabilization at initial condition (30% A, 70% B) for 3 min. The flow rate was 0.4 mL/min, the column temperature was maintained at 45°C, and the detector wavelength was set at 228 nm. This method was validated in terms of specificity, linearity, accuracy, and precision according to the guidelines of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. The method was found to be specific because there was no interference between the analytes (MMP and MBP) and blank urine (
Urinary Cr was analyzed by the enzymatic method using Vitros CREA Slides and Vitros chemistry products on a Vitros 350 Chemistry System (Ortho Clinical Diagnostics). Each urinary phthalate metabolite concentration (in nanograms per milliliter) was adjusted to micrograms per gram of Cr.
A questionnaire was designed to elicit sociodemographic information and phthalate exposure data about each child. Data that were collected included age, sex, current residence, caregiver level of education, family income, self-awareness or parental assessment of pubertal status, total daily hours of television viewing, exercise habits, eating habit risks (including consumption of junk food, canned food, and bottled milk), use of plastic containers for food and water, use of microwave oven to heat plastic food containers, and use of plastic toys. Frequency of exposure was classified into 6 categories, including “never”, “at least once per month”, “once per month”, “once per week”, “more than 2 d per week”, and “at least once a day”. Use of personal care products and exposure to other sources of phthalates (e.g., shampoo, soap, toothpaste, hair gel, lotions, floor cleaning liquid, and paints) were also collected and recorded. Exposure to these products was recorded as “Yes” or “No”. Parents were also asked to recollect and report how many of these products their child was exposed to during the 24 h before urine collection for analysis of association with urinary phthalate metabolite concentrations.
Continuous data were reported as median (interquartile range [IQR], i.e., 25th, 75th percentiles) or mean ± standard deviation (SD). Multiple linear regression analysis was used to identify the association between the level of urinary phthalate metabolites and Tanner stage adjusted by sex. An independent
We included data from both boys and girls, who had a mean age of 9.4 ± 3.64 (range 2.83 – 17.10) y. Most children were aged 6–11 y (
Sociodemographic characteristics of the study population (N = 221)Characteristic n (%) Male 103 (45.9) Female 118 (54.0) 9.4 ± 3.64 < 6 44 (19.9) 6–11 129 (58.3) 12–18 48 (21.7) <€526 45 (20.4) €526–€1052 68 (30.7) >€1052 108 (48.8) None 2 (0.9) Elementary 26 (11.7) High school 29 (13.0) Vocational certificate 36 (16.1) Bachelor of Arts and higher 128 (57.9) Prepuberty 130 (58.8) Puberty 71 (32.1) Uncertain 20 (9.0) <1 h 35 (15.8) 1–2 h 76 (34.3) >2 h 110 (49.7)
Detection rate of phthalate metabolitesn (%) 63 (28.5) 196 (88.6) Mean ± SD (μg/g of Cr) 1937.95 ± 4754.27 657.97 ± 1459.75 GM (95% CI) (μg/g of Cr) 3400 (2489.9–4642.8) 214.4 (164.6–279.1) Median (μg/g of Cr) 0 252
No correlation was observed between urinary phthalate metabolites and age, gender, family income, parental education, secondhand smoke, media exposure times per day, BMI, waist circumference, waist-to-height ratio, or waist-to-hip ratio (data not shown). Other variables, including canned food consumption, canned beverage consumption, use of plastic containers for food, bottled water, use of microwave to heat plastic food containers, junk food consumption, bottled milk consumption, and exposure to plastic toys, were also not found to be associated with urinary phthalate metabolite levels (data not shown).
Higher Tanner stage was significantly associated with lower urinary Cr-adjusted MBP levels (
Beta coefficient of Cr-adjusted urinary MMP and MBP concentrations (μg/g of Cr) according to Tanner stage adjusted by sex Adjusted by sex; Adjusted by sex; Characteristics Adjusted urinary MMP Adjusted urinary MMP Beta coefficient SE Beta coefficient SE Tanner stage −303.76 260.01 0.24 −200.14 85.41 0.02
Phthalate metabolite values expressed as mean ± SD and median (IQR) (μg/g of Creatinine) by source of exposureSource of exposure n MMP MBP Mean ± SD Median (IQR) Mean ± SD Median (IQR) Shampoo No 39 1573.5 ± 3705.8 0 (0, 533) 0.88 762.3 ± 1567.1 256.1 (47.9, 633.6) 0.78 Yes 165 1701.2 ± 4784.8 0 (0, 459.8) 685.8 ± 1530.6 200.4 (20.7, 440.9) Hair conditioner No 121 1616.6 ± 4682.9 0 (0, 528.9) 0.82 633.2 ± 1417.2 238.4 (47.9, 522.2) 0.45 Yes 83 1764.5 ± 4478.1 0 (0, 459.8) 798.4 ± 1694.2 160.4 (7.3, 548.4) Hair spray/hair gel No 187 1774.8 ± 4757.4 0 (0, 619.9) 0.31 743 ± 1594.6 212.1 (18, 540.3) 0.19 Yes 17 598.3 ± 1689.2 0 (0, 0) 232.5 ± 211.3 196.1 (91.6, 281.5) Toothpaste No 5 3688.8 ± 4423.4 1054.4 (533, 7238.1) 0.32 693.4 ± 761.1 256.1 (206, 1063.3) 0.99 Yes 199 1626.3 ± 4593.6 0 (0, 438.1) 700.6 ± 1549.5 206.9 (18, 523.6) Mouthwash No 162 1639.8 ± 4510.5 0 (0, 533) 0.82 681.3 ± 1516.8 212.8 (61.9, 523.6) 0.73 Yes 42 1819.5 ± 4939.8 0 (0, 438.1) 774.1 ± 1615.5 177.6 (0, 579.1) Shaving cream No 200 1710.3 ± 4629.8 0 (0, 531) 0.46 712.2 ± 1547 212.8 (25.3, 529.2) 0.44 Yes 4 0 ± 0 0 (0, 0) 110.4 ± 83.9 128.2 (45.8, 175) Perfume No 182 1815.8 ± 4822.9 0 (0, 533) 0.21 725.2 ± 1584.6 212.8 (43.4, 530.5) 0.51 Yes 22 527.2 ± 1276.9 0 (0, 0) 495.6 ± 1027.7 153.8 (9.1, 336.2) Soap No 8 3107.9 ± 6036.6 222.7 (0, 3849) 0.37 649.8 ± 1157.5 37.9 (0, 896.4) 0.92 Yes 196 1618.4 ± 4531.9 0 (0, 483.5) 702.5 ± 1549.7 210.7 (45.7, 522.9) Lotion No 97 1313.6 ± 3350.9 0 (0, 43) 0.28 703.9 ± 1448.2 209.3 (61.9, 559.9) 0.98 Yes 107 2006.1 ± 5472.6 0 (0, 925.4) 697.3 ± 1614.8 200.4 (9.1, 440.9) Cosmetics No 167 1669.3 ± 4547 0 (0, 533) 0.96 657.1 ± 1469.9 212.1 (47.9, 522.2) 0.39 Yes 37 1710.8 ± 4844.4 0 (0, 445.3) 895.8 ± 1805.3 200.4 (6.2, 694.9) Sunscreen No 160 1706.1 ± 4590.9 0 (0, 772.7) 0.90 691.6 ± 1522.3 216.5 (58.6, 529.2) 0.84 Yes 43 1606.7 ± 4687 0 (0, 0) 746 ± 1609.9 196.1 (2.9, 514.2) Deodorant No 148 1901.8 ± 4825.5 0 (0, 1015.9) 0.26 726.7 ± 1564.3 226.2 (70.3, 554.2) 0.69 Yes 56 1082.3 ± 3877.1 0 (0, 0) 630.8 ± 1462.5 153.2 (5.9, 316.6) Leather polish No 194 1652 ± 4499.4 0 (0, 528.9) 0.74 679.1 ± 1501.9 208.1 (10.1, 527.9) 0.38 Yes 10 2157.3 ± 6388.6 0 (0, 204) 1114.5 ± 2122.5 217 (100.3, 418.4) Floor cleaning liquid No 159 1258.8 ± 2968.8 0 (0, 528.9) 0.014 625 ± 1386.9 206.9 (43.4, 522.2) 0.19 Yes 45 3153.9 ± 7917.9 0 (0, 382.1) 967.1 ± 1963.8 219.8 (6.2, 579.1) Washing powder No 124 1213.5 ± 2836.3 0 (0, 494.4) 0.07 629.7 ± 1423.6 206.2 (8.2, 479.5) 0.41 Yes 80 2394.9 ± 6384 0 (0, 529) 810.1 ± 1694.6 242.8 (70.3, 674) Dish washing soap No 96 1242.1 ± 3027.9 0 (0, 366.5) 0.20 637.6 ± 1445.6 208.1 (8.2, 522.9) 0.58 Yes 108 2063.2 ± 5613.5 0 (0, 496.4) 756.3 ± 1613.3 209 (70.3, 563.7) Vinyl products No 133 1666.1 ± 4582.4 0 (0, 459.8) 0.91 737.2 ± 1598.1 232.4 (29.9, 559.9) 0.70 Yes 69 1746 ± 4695.4 0 (0, 533) 647.5 ± 1432.1 193.8 (43.4, 440.9) Paints No 196 1512 ± 3876.7 0 (0, 452.6) 0.011 640.4 ± 1389.1 206.7 (25.3, 518.2) 0.005 Yes 8 5714.5 ± 13151.4 0 (0, 4023.9) 2170.1 ± 3452.7 436.2 (63.6, 3792.1) Insecticide No 190 1521.5 ± 4151.9 0 (0, 459.8) 0.08 656.8 ± 1472.2 206.2 (20.7, 523.6) 0.14 Yes 14 3784.2 ± 8558.2 0 (0, 809.8) 1292.6 ± 2198.4 307.9 (100.3, 764.6) Mothballs No 200 1684.5 ± 4624.8 0 (0, 494.4) 0.87 709.5 ± 1547.4 210.7 (25.3, 525.7) 0.55 Yes 4 1289.6 ± 2579.2 0 (0, 2579.2) 248.7 ± 348.4 115.2 (50.1, 447.3)
To our knowledge, this is the first report in Thailand to study urinary phthalate metabolite levels in Thai children and adolescents. Exposure to phthalates may be associated with adverse health outcomes, especially in children. In the present study, we measured MMP and MBP, which are phthalate metabolites, and Cr levels in morning spot urine samples from Thai children and adolescents. The detection rates of MMP and MBP were 28.5% and 88.6%, with median concentrations of 0 and 252 μg/g Cr, respectively. When compared with other studies from Asia (
Literature review of studies of urinary phthalate metabolite levelsStudy Population Age (y) Method MMP (μg/g Cr) DR MBP (μg/g Cr) DR Guo Y [34] Chinese 21–49 HPLC/MS 9.7 50% 69.5 >97% in Indian 5.8 >95% 14.9 all Japanese 11.1 >95% 11.5 Korean 2.7 50% 19.8 Kuwaiti Undetectable 50% 78.7 Malaysian Undetectable 33% 15.1 Vietnamese Undetectable 50% 14.1 Guo C [31] Chinese 18–22 HPLC/MS 12.2 99.1% 74 100% Casas et al. [32] Spain 4 HPLC/MS Not done Not done 30.2 Not done Silva et al. [33] USA 6–11 HPLC/MS Not done Not done 38.9 Not done Mouritsen et al. [36] Denmark 5.9–12.8 LC/MS Not done Not done 11.2 ng/mL (not corrected with Cr) Not done Bertelsen et al. [37] Norway 10 HPLC/MS Not done Not done 138.8 ng/mL (not corrected with Cr) Not done Present study Thailand 2–18 HPLC 0 28.5% 252 88.6%
We found lower urinary Cr-adjusted MBP concentrations to be associated with advanced Tanner stage, but similar concentrations of MMP were found in advanced Tanner stage (
Significant association was observed between urinary Cr-adjusted MMP level and exposure to floor cleaning liquid and paint, and between urinary Cr-adjusted MBP level and exposure to paint (
Our results are not consistent with the increase in urinary phthalate concentrations that were observed when an increased number of products were used (data not shown), as was reported in other studies in adults [40] and infants [41].
The present study has some recognized limitations. First, although the size of the study population was relatively small, we were still able to demonstrate significant correlation between phthalates and some parameters. Second, only 2 low-molecular-weight phthalate metabolites were measured in this study. If we had investigated additional phthalate metabolites, it is possible that other significant associations may have been identified. Third, Tanner staging was not performed by medical personnel. Fourth, it is possible that measurements of urine concentrations of phthalate metabolites may have been better if we had collected urine repeatedly. However, a study by Teitelbaum et al. [42] reported that a single spot urine sample sufficiently represented exposure over a 6 mo period to warrant its use as an exposure estimate in epidemiological studies. Finally, the children included in this study reside in metropolitan Bangkok—a major metropolis. As such, our findings may not be generalizable to all other areas of Thailand. Future studies in Thailand should include a larger sample size, more phthalate metabolites, and the use of a questionnaire with improved specificity for detecting the amount and frequency of product used.
This is the first study to investigate and report urinary phthalate metabolite levels in Thai children and adolescents. Rates of detection of MMP and MBP were lower in this study compared with the rates reported in other studies conducted in Asia, Europe, and the USA, but the urinary Cr-adjusted MBP levels in Thai children and adolescents were higher compared with the same in other studies. Exposure to paints and floor cleaning products was associated with increasing urinary Cr-adjusted MMP levels. Early Tanner stage and exposure to paints were associated with higher urinary Cr-adjusted MBP levels.