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The study participants were from the Shanghai Food Consumption Survey (SHFCS), which was conducted from September 2012 through August 2014. The SHFCS has been described in detail in a previous report[29]. In the first interview (autumn 2012) of the SHFCS, participants from 22 communities (the SHFCS contained 25 communities) were required to complete a questionnaire on the use frequency of plastic containers by trained investigators, and provided one spot urine sample during the investigation. Among the 3, 322 participants of the SHFCS, 3, 082 provided spot urine samples. After the exclusion of 278 participants for lacking data on the use of plastic containers, 89 participants for lacking weight or height information, 326 without enough volume of the urine sample for detecting phthalate metabolites, 25 for unreasonable creatinine concentration ( < 20 μmol/L or > 30, 000 μmol/L), and 224 aged ≤ 18 years, 2, 140 participants with ages > 18 years had complete information of use of plastic containers and phthalate metabolites. All participants provided informed consent before their participation in the SHFCS.
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We designed a questionnaire to assess the use of plastic containers. In the present study, plastic containers referred to routine plastic products that were used to package or store food, including plastic tableware (e.g., bowl, dish, spoon), plastic cups, plastic bottles, plastic bags and boxes, and wrapping films. The questionnaire consisted of two types of questions. The first type of questions investigated the frequency (e.g., daily, weekly) of using plastic containers in different scenarios in the previous year. The second type of questions investigated whether the user had consumed certain items of plastic-packaged food in the previous three days. The list of questions is shown in Table 1. These questions represent the most frequent scenarios of using plastic containers in the daily life of Chinese people.
Questions Usage of Plastic Containers Ⅰ. Frequency of using plastic containers in different scenarios in the previous year Daily Weekly Others 1 Using plastic tableware (bowl, dish, spoon, etc.) 47 (2.2) 837 (39.1) 1, 256 (58.7) 2 Heating plastic-contained food in microwave oven 38 (1.8) 160 (7.5) 1, 942 (90.7) 3 Drinking from plastic cup 78 (3.6) 156 (7.3) 1, 906 (89.1) 4 Drinking plastic-bottled water 152 (7.1) 197 (9.2) 1, 791 (83.7) 5 Drinking plastic-bottled beverage (soft drinks or sweet drinks) 43 (2.0) 153 (7.1) 1, 944 (90.8) Ⅱ. Consumption of plastic-packaged food in the previous three days Yes No 1 Plastic-packaged breakfast 494 (23.1) 1, 646 (76.9) 2 Plastic-packaged lunch 146 (6.8) 1, 994 (93.2) 3 Plastic-packaged processed food 327 (15.3) 1, 813 (84.7) 4 Plastic-bottled milk or yogurt 513 (24.0) 1, 627 (76.0) 5 Plastic-bottled beverage (soft drinks or sweet drinks) 445 (20.8) 1, 695 (79.2) 6 Plastic-bottled hot coffee or milk tea 129 (6.0) 2, 011 (94.0) Note. Data shown as number (percentage, %). Table 1. Question List Investigating the Usage of Plastic Containers
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We assessed dietary intake using a 24 h dietary recall questionnaire in a face-to-face interview. The 24 h dietary recall questionnaire gathered information on the types and servings of foods consumed in the 24 h before the spot urine collection. Based on the questionnaire, 312 different types of foods were consumed. The 24 h dietary recall data were used to calculate total food intake.
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Phthalate metabolites in urine were analyzed by liquid chromatography tandem mass spectrometry (API 4000, LC-MS/MS, Shimadzu, USA) according to Tranfo et al.[30]. Urine collection and metabolite measurement have been previously described[29]: 'Briefly, 1 mL of urine sample was incubated with β-glucuronidase (Helix pomatia; Sigma, Louis, MO, USA; Type HP-2, aqueous solution, ≥ 100, 000 units/mL) at 37 ℃ for 120 min. The sample was subsequently acidified with 1 mL of aqueous 2% (v/v) acetic acid, mixed with 100 μL of internal standard (100 μg/L), and loaded into a PLS column (Dikma, China; 60 mg/3 mL) previously activated with 2 mL methanol and 2 mL of aqueous 0.5% (v/v) acetic acid. After sample loading, the column was washed with 2 mL of aqueous 0.5% (v/v) acetic acid and eluted with 1 mL of methanol. The eluate was passed through a 0.2 μm filter and analyzed (10 μL) by LC-MS/MS (Shimadzu, USA; API 4000 LC/MS/MS system) coupled to an AQUASIL C18 column (150 × 4.6 mm; Thermo Fisher Scientific, Inc, USA)'. The mobile phases consisted of acetonitrile (mobile phase A) and ultrapure water (mobile phase B), both phases containing 0.1% (v/v) acetic acid. The gradient profile was as follows: maintained at 30% in the first 2 min, followed with 90% in the next 13 min, and returned to the initial conditions in the last 3 min. The flow rate and the injection volume were 0.6 mL/min and 10 µL, respectively. The MS was operated in negative electrospray ionization (ESI) mode. The operation parameters were as follows: Capillary voltage: 3.7 kV; Ion source temperature: 120 ℃; Solvent gas temperature: 300 ℃; Cone hole Gas flow: 50 L/h; Gas flow: 600 L/h; Collision gas: argon.
Ten phthalate metabolites were measured in this study, including monomethyl phthalate (MMP), monoethylphthalate (MEP), mono-n-butylphthalate (MnBP), monoisobutylphthalate (MiBP), monobenzylphthalate (MBzP), mono-2-ethylhexylphthalate (MEHP), mono-2-ethyl-5-oxohexyphthalate (MEOHP), mono-2-ethyl-5-hydroxyhexylphthalate (MEHHP), mono-2-ethyl-5-carboxypentylphthalate (MECPP), and mono-2-carboxymethyl-hexyl phthalate (MCMHP). The method had a limit of detection of 0.02, 0.20, 0.04, 0.04, 0.20, 0.60, 0.10, 0.20, 0.03, 0.50 μg/L for MMP, MEP, MnBP, MiBP, MBzP, MEHP, MEOHP, MECPP, MEHHP, and MCMHP, respectively. Two micromolar sums (µmol/L) were also calculated to assess the phthalate exposure, namely the sum of DBP metabolites (ΣDBP, including MiBP, and MnBP) and the sum of DEHP metabolites (ΣDEHP, including MEHP, MEOHP, MECPP, MEHHP, and MCMHP). The concentrations of 10 phthalate metabolites and 2 micromolar sums were adjusted by creatinine for correcting urine dilution.
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Data were analyzed using SPSS version 21.0. Urinary phthalate metabolite concentrations were natural log-transformed for normality. Two-side P-values < 0.05 were considered to be statistically significant. We used multiple linear regression analyses to estimate the association between each exposure biomarker (phthalate metabolites or calculated index) and plastic use. The potential covariates used in the regression models and covariance analyses were total food intake, sex (male, female), age, education level (≤ primary school, high school/technical secondary school, college or greater), marriage (married, others), smoking status (never, current/past smokers), and body mass index (BMI). The estimated regression coefficient (β) and standard error (SE) of each regression model were used to calculate the percent difference in urinary concentrations of phthalate parameters following each step of the frequency of plastic usage. The percent difference was calculated by the equation [e(β)-1] × 100%, and 95% confidence intervals (CIs) were calculated by the equation [e(β ± critical value × SE)-1] × 100%. In this study, we observed a similar trend between the consumption of plastic-packaged breakfast/processed food items and phthalate exposure. To identify possible synergistic effects, we created a new variate that was classified into three consumption categories (none, either, or both item of food) and performed univariate analyses. The P-value for trend represented whether the consumption of plastic-packaged breakfast or plastic-packaged processed food items had synergistic effects on phthalate exposure.
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All subjects submitted written informed consent before their participation in the survey. The study was approved by the local authorities and the Ethics Committee of School of Public Health at Fudan University (IRB#2011-03-0264).
Study Population and Sampling
Use of Plastic Containers
Dietary Assessment
Measurement of Urinary Phthalate Metabolite Concentrations
Statistical Analysis
Ethics Approval and Consent to Participate
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Table 2 presented the parent phthalates, their metabolites and the detection rates of measured metabolites. Among 10 metabolites, 5 of them (MECPP, MEHHP, MEHP, MCMHP, and MEOHP) were from the same parent phthalates and had higher detection rates than metabolites from other phthalates. Table 3 showed the baseline characteristics of the study participants (n = 2, 140). The median age was 53 years. We did not observe urinary metabolites of phthalates significantly increased following the increase of the behavior frequency of using plastic containers in different scenarios (Figure 1), except the high frequency of drinking from plastic cups in association with higher levels of MEOHP, and the high frequency of heating plastic-contained food in a microwave in association with higher levels of MBzP, MEOHP, and MCMHP. In contrast, we observed negative associations in more scenarios and more metabolites, especially in the question of using plastic tableware, drinking plastic bottled water, and drinking plastic-bottled beverage (soft drinks or sweet drinks).
Parent Phthalate Phthalate Metabolite (μg/g) n > LOD (%) Dimethyl phthalate, (DMP) Monomethyl phthalate, (MMP) 1, 907 (89.1) Diethyl phthalate, (DEP) Monoethyl phthalate, (MEP) 1, 941 (90.7) Di-n-butylphthalate, (DnBP) Mono-n-butyl phthalate, (MnBP) 1, 590 (74.3) Diisobutyl phthalate, (DiBP) Butyl-benzyl phthalate, (BBP) Monoisobutyl phthalate, (MiBP) 1, 755 (82.2) Mono-benzyl phthalate, (MBzP) 1, 504 (70.3) Di-2-ethylhexyl phthalate, (DEHP) Mono-2-ethylhexyl phthalate, (MEHP) 2, 072 (96.8) Mono-2-ethyl-5-oxohexyl phthalate, (MEOHP) 1, 962 (91.7) Mono-2-ethyl-5-hydroxyhexyl phthalate, (MEHHP) 2, 136 (99.8) Mono-2-ethyl-5-carboxypentyl phthalate, (MECPP) 2, 133 (99.7) Mono-2-carboxymethyl-hexyl phthalate, (MCMHP) 2, 067 (96.6) Note. LOD, limit of detection. Table 2. Parent Phthalates, Their Metabolites, and the Detection Rates
Characteristic Category Result Age, median (IQR), y - 53 (41, 64) Sex, n (%) Male 1, 018 (47.6) Female 1, 122 (52.4) Nationality, n (%) Han 2, 120 (99.1) Others 20 (0.9) Education level, n (%) ≤ Primary school 501 (23.7) High school/technical Secondary school 1, 264 (59.9) ≥ College graduate 345 (16.4) Marriage, n (%) Married 1, 785 (86.0) Other 291 (14.0) Smoking status, n (%) Never smoked 1, 593 (71.9) Current/Past smoker 537 (28.1) Total food intake, median (IQR), g - 1, 271 (902, 1, 510) Height, median (IQR), m - 1.65 (1.59, 1.70) Weight, median (IQR), kg - 64.0 (56.0, 70.0) BMI, median (IQR), kg/m2 - 23.6 (21.3, 25.6) - - 83.0 (76.6, 89.9) Note. BMI: body mass index; IQR: interquartile range. Table 3. Characteristics of the Study Participants (n = 2, 140)
Figure 1. Associations between urinary concentrations of phthalate indexes and the frequency of using plastic containers in different scenarios in the previous year. Data were adjusted for age, sex, education level, smoking status, marriage, BMI and total food intake. The y-axis represents the percent increase or decrease in phthalate exposure following the increased frequency of usage (never, occasionally, or regularly). ◇, P value > 0.05; ▲, P value < 0.05; ◆, P value < 0.01; ■, P value < 0.001.
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The consumption of plastic-packaged lunch was not associated with phthalate metabolites. However, the consumption of plastic-packaged breakfast and plastic-packaged processed food had positive associations with most urinary metabolite concentrations (Figure 2). Compared to non-consumption, consumption of plastic-packaged breakfast had 34.17%, 29.73%, 104.61%, 48.71%, 39.12%, 12.22%, 30.56%, 15.13%, 52.71%, and 14.81% higher levels of urinary MMP, MEP, MnBP, MiBP, MEOHP, MECPP, MEHHP, MCMHP, ΣDBP, ΣDEHP, respectively. Consumption of plastic-packaged processed food had 51.53%, 27.38%, 40.40%, 17.55%, and 13.95% higher levels of urinary MnBP, MEHP, MEOHP, MCMHP, and ΣDEHP than non-consumption, respectively. Consumption of plastic-bottled milk or yogurt had 26.1% and 13.52% higher levels of urinary MEOHP and MCMHP, respectively, than non-consumption.
Figure 2. Associations between urinary concentrations of phthalate indexes and the consumption of plastic-packaged foods in the previous three days. Data were adjusted for age, sex, education level, smoking status, marriage, BMI and total food intake. The y-axis represents the percent increase or decrease in phthalate exposure comparing between 'yes' consumption and 'no' consumption. ◇, P value > 0.05; ▲, P value < 0.05; ◆, P value < 0.01; ■, P value < 0.001.
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Since the consumption of both plastic-packaged breakfast and plastic-packaged processed food had positive associations with some phthalate metabolites, we generated a new variate to explore the synergistic effects of these two questions. The variate was classified into three categories (none, either, or both consumption of these two items of food). Consumption of these two items had strong synergistic effects on increasing urinary concentrations of phthalate indexes, including MnBP, MiBP, MEHP, MEOHP, MECPP, MEHHP, and MCMHP (Figure 3), especially for MnBP, MEHP, and MEOHP, with the P-value for trend less than 0.001.
Figure 3. Univariate analysis of phthalate exposure in association with both consumption of plastic-packaged breakfast and plastic-packaged processed food. The consumption of plastic-packaged breakfast or plastic-packaged processed food: none, consumed none of them; either, consumed one of them; both, consumed both of them.Significance across the three levels (none, either, both) based on univariate analyses after adjusting for age, sex, education level, smoking status, marriage, BMI and total food intake. Geometric mean (95% CI) were presented. P means the P-value for trend across the none consumption of these two items of food to both consumption of these two items of food.