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Research Article

Urine Bisphenol-A Level in Relation to Obesity and Overweight in School-Age Children

  • De-Kun Li mail,

    dkl@dor.kaiser.org

    Affiliations: Division of Research, Kaiser Foundation Research Institute, Kaiser Permanente, Oakland, California, United States of America, Department of Health Research and Policy, School of Medicine, Stanford University, Stanford, California, United States of America

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  • Maohua Miao,

    Affiliation: Department of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research, & World Health Organization Collaborating Center for Research in Human Reproduction, Shanghai, China

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  • ZhiJun Zhou,

    Affiliation: School of Public Health, Key Lab for Public Health Safety, & WHO Collaborating Center for Occupational Health, Fudan University, Shanghai, China

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  • Chunhua Wu,

    Affiliation: School of Public Health, Key Lab for Public Health Safety, & WHO Collaborating Center for Occupational Health, Fudan University, Shanghai, China

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  • Huijing Shi,

    Affiliation: Department of Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China

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  • Xiaoqin Liu,

    Affiliation: Department of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research, & World Health Organization Collaborating Center for Research in Human Reproduction, Shanghai, China

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  • Siqi Wang,

    Affiliation: Department of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research, & World Health Organization Collaborating Center for Research in Human Reproduction, Shanghai, China

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  • Wei Yuan

    Affiliations: Department of Epidemiology and Social Science on Reproductive Health, Shanghai Institute of Planned Parenthood Research, & World Health Organization Collaborating Center for Research in Human Reproduction, Shanghai, China, National Population & Family Planning Key Laboratory of Contraceptive Drugs and Devices, Shanghai, China

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  • Published: June 12, 2013
  • DOI: 10.1371/journal.pone.0065399

Abstract

Bisphenol-A (BPA) is a potential endocrine disruptor impacting metabolic processes and increasing the risk of obesity. To determine whether urine BPA level is associated with overweight/obesity in school-age children, we examined 1,326 students in grades 4–12 from three schools (one elementary, one middle, and one high school) in Shanghai. More than 98% of eligible students participated. Total urine BPA concentration was measured and anthropometric measures were taken by trained research staff. Information on risk factors for childhood obesity was collected for potential confounders. Age- and gender-specific weight greater than 90th percentile of the underlying population was the outcome measure. After adjustment for potential confounders, a higher urine BPA level (≥2 µg/L), at the level corresponding to the median urine BPA level in the U.S. population, was associated with more than two-fold increased risk of having weight >90th percentile among girls aged 9–12 (adjusted odds ratio (aOR) = 2.32, 95% confidence interval: 1.15–4.65). The association showed a dose-response relationship with increasing urine BPA level associated with further increased risk of overweight (p = 0.006 for trend test). Other anthropometric measures of obesity showed similar results. The same association was not observed among boys. This gender difference of BPA effect was consistent with findings from experimental studies and previous epidemiological studies. Our study suggests that BPA could be a potential new environmental obesogen. Widespread exposure to BPA in the human population may also be contributing to the worldwide obesity epidemic.

Introduction

In recent decades, both developing countries such as China as well as developed countries have witnessed an alarming increase in the prevalence of obesity [1][3]. The most troubling aspect of this increase is the acceleration in the prevalence of obesity and overweight among children. The prevalence of obesity in U.S. children is close to 20% [4][6]. This is especially alarming given the well-known consequences of overweight and obesity which include type 2 diabetes, hyperinsulinemia, insulin resistance, coronary heart disease, hypertension, stroke, and liver and kidney diseases among many other adverse health effects. While improving dietary habits and increasing physical activity have been the focus in reducing obesity, the rapid increase in the prevalence of obesity/overweight in countries with differing dietary styles and patterns of physical activity suggests the possible existence of other environmental risk factors. Emerging evidence linking the worldwide obesity epidemic to increased exposures to environmental endocrine disruptors, collectively called “environmental obesogens” [1], [6][9], has brought about an urgency to examine the role of exposure to these chemicals in relation to the obesity epidemic. One such important potential obesogen is bisphenol-A (BPA). Humans are widely exposed to BPA and animal studies have linked BPA to obesity [10][15].

Although it was first recognized in the 1930’s as a potential synthetic estrogen [16], BPA is contained in a variety of consumer products from baby bottles, plastic containers, and the resin lining of cans for food and beverages, to dental sealants [17]. Human populations are widely exposed to BPA in their daily lives. In a U.S. representative sample, BPA was detected in more than 92% of urine samples including those from children [17], [18] and in populations of many other countries [19][23]. One of the troubling aspects of BPA exposure is that younger children generally have higher urine BPA level than adults indicating a heavier biological burden likely due to a higher BPA exposure or slower metabolic process or both among young children [18].

In addition to affecting reproductive systems [23][27], an increased risk of obesity has emerged as an additional potential adverse effect of BPA exposure in experimental animal studies [1], [7], [9], [11][13]. Exposure to BPA has been shown to suppress the release of adiponectin [28][30], an adipocyte-specific hormone that increases insulin sensitivity. Thus, there is a biological plausibility that BPA could lead to insulin resistance and increased susceptibility to obesity and metabolic syndromes. BPA was shown to be a more effective adiponectin suppressor than estradiol, at a low environmental exposure level (0.1 nM) [28]. Given the widespread human exposure to BPA, a potential link between exposure to BPA and the risk of childhood obesity in human population has important public health implications.

Evidence of a relationship between BPA level and obesity in human populations is also emerging. Two studies have reported an association between urine BPA level and obesity in adult populations (>18 years of age) [31], [32]. One study reported an association between urine BPA level and metabolic diseases including diabetes [33]. In a recent study published in JAMA, Trasande et al reported an association between urine BPA and obesity among children and adolescents [34] using U.S. NHANES data. It should be noted NHANES was not specifically designed to examine BPA effect and consists of a largely non-Asian population. In 2011, we designed and conducted a population-based study to examine the relationship between urine BPA and obesity in school-age children. Given that animal studies have indicated that the BPA effect on obesity is observed only among females [11], we also examined the association for girls and boys separately.

Methods

Ethics Statement

The study was approved and overseen by the Institutional Review Boards of the School of Public Health, Fudan University, and Shanghai Institute of Planned Parenthood Research. The current study was an ancillary study to a larger national study of pubertal development and health of adolescents, which had already collected anthropometric measures and information related to pubertal development. The current study added some additional questions related to the risk factors for childhood obesity and collected additional urine samples. Parents of all students were sent a consent form which described the study purpose, the processes involved, including collection of urine samples, and voluntary nature of participation. Parents were asked to inform teachers if they did not want their children to participate in the study; but they were not required to sign the consent form due to infeasibility. All students were also informed by their teachers of the study purpose, process and voluntary nature of participation in advance, and reminded again at the time of data collection. This was the only process that was deemed feasible and accepted by the participating school district. The ethics committees/IRBs approved the opt out consent procedure for the students.

Schools in Jiading District, Shanghai, China were eligible for the study. Since the current study was an ancillary study, participants were not aware of the specific hypothesis of this study. In 2011, the three largest elementary, middle, and high schools of the district were selected, respectively, with all students from grades 4 through 12 being eligible for the study. Four classes of students from each grade were randomly selected so that about 150 students from each grade could be recruited (class size is typically about 40 students). Among the 1,451 eligible students, 18 students (1.2%) refused to participate.

BPA Exposure

Spot urine samples (non-fasting) were collected from each participant. The collection time ranged from 9 am to 4 pm. All urine kits were made of BPA free materials. For each urine sample, the total urine BPA concentration (free plus conjugated species) was measured as in previous studies using HPLC (high performance liquid chromatography) [18] [35][37]. Urine samples were mixed with phosphate buffer and β-glucuronidase (Sigma Chemical Co., St. Louis, MO) for hydrolyzation. Afterwards, samples were extracted twice with ether: n-hexane (1:1) (HPLC grade, Dikma) and supernatants were evaporated with nitrogen gas. The residue was dissolved in 40% acetonitrile and analyzed by HPLC with fluorescence detection (HPL/FD). The limit of detection (LOD) was 0.31 µg/L. This LOD level was comparable to that reported by previous studies [18]. The assay was conducted by co-authors at the Department of Occupational Health and Toxicology, School of Public Health & WHO Collaborating Center for Occupational Health, Fudan University, Shanghai, China. Detailed methodology involved in the assay has been published elsewhere [35][37]. We used BPA level of 2 µg/L as the cutoff (about the median urine BPA level in the U.S. population [17], [18]). Those with BPA level above the cutoff were compared to those with BPA level below the cutoff (high vs. low).

Seventy-two female students did not provide urine specimens because they happened to have menstrual periods on the day when the urine specimen was being collected, and urine samples of 17 students were accidentally damaged during transportation. Thus, 1,326 students were included in the final analyses (91.4% of the initial eligible population).

Outcomes

Anthropometric measurements including weight, height, hip circumference, waist circumference, and skinfold thickness were taken by trained staff members at the time when urine BPA samples were collected. All methods of measurements were standardized. Calibrated instruments (e.g., scales and height measuring meters) were used. Given that BMI is not as reliable a measure of obesity in children as in adults and height in children is usually not as reliably measured as weight [4], we used weight as the primary measure of overweight/obesity. We used 90th percentile age- and gender-specific population weight distribution as a cutoff for overweight based on the published survey (published information for 85th percentile is not available) [38]. In addition, we used other parameters for measuring overweight/obesity including hip circumferences, waist circumference, waist to height ratio, skinfold thickness, and BMI as secondary measurements to verify the findings based on weight. We also used 90th percentile of these parameters based on either the published standards, or if available, data from the study population [38].

Potential Confounders

At the time of data collection, a food frequency questionnaire with 24 questions was administered to all participating students to determine their dietary patterns (e.g., frequency of eating junk food, unbalanced diet such as eating favorite foods only, and habit of eating fruits/vegetables). This questionnaire has been used in many previous studies with a similar Chinese population [39]. Information on physical activities (e.g., average daily time on playing video/computer games and participating in sports or other physical activities), parental overweight, and children’s current depression status using the published Children's Depression Inventory (CDI) [40] was also collected. Many of these factors are potential risk factors for childhood obesity which could be potential confounders if they were found to be related to urine BPA level. These factors were adjusted for or evaluated for possible interaction with the effect of BPA exposure on childhood obesity during analyses.

Analysis

Univariate analyses were first conducted to examine the characteristics of the study population in relation to the urine BPA exposure level. For dichotomized variables, chi-square test was used to evaluate statistical significance. For continuous variables, t-test was used. Logistic regression with 95% confidence interval was used to estimate odds ratio of obesity measurements associated with urine BPA level after adjustment for potential confounders. Statistical significance was determined at α = 0.05. We used SAS 9.1 as the software for conducting analyses. Potential confounders, as described above, were adjusted for in all analyses evaluating the association between urine BPA level and obesity.

Results

Table 1 presents the characteristics of participating students by their urine BPA levels. The factors in Table 1 include demographic variables (e.g., parental education) and potential risk factors for childhood obesity including dietary factors, physical activity, mental health (i.e., depression), and parental overweight. Overall, urine BPA level was not associated with the variables in Table 1 except that those students who spent more time playing video/computer games had a higher BPA level. Table 1 also showed that younger students had a slightly higher BPA level than older students. This finding is consistent with the findings from the U.S. population showing that BPA level is generally higher in younger children [18].

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Table 1. Characteristics of Participating Students According to Urinary BPA Level.

doi:10.1371/journal.pone.0065399.t001

Table 2 shows the relationship between urine BPA level and overweight in female and male students separately. High urine BPA level was associated with overweight among female students, particularly among girls entering the pubertal stage of development (9–12 years old): those with urine BPA level at 2 µg/L or higher (above the median in this population) had more than twice the risk of being overweight (>90th percentile of age- and gender-specific population weight distribution) than those whose urine BPA level <2 µg/L (adjusted odds ratio was 2.32, 95% confidence interval: 1.15–4.65) (Table 2). Urine BPA level was not associated with overweight/obesity for older female students (>12 years of old) (Table 2).

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Table 2. Urine Bisphenol-A (BPA) Level in Relation to Overweight among School-age Children.

doi:10.1371/journal.pone.0065399.t002

Urine BPA level was not associated with overweight/obesity among male students (Table 2). The interaction term for the association between genders was borderline significant (p = 0.05).

To further examine the association between urine BPA level and overweight among girls aged 9–12 years old, we examined the dose-response relationship. Increasing urine BPA level was associated with increased risk of overweight in this group of girls. Compared to lower urine BPA levels (<50th percentile), the risk of overweight was almost doubled for girls with urine BPA levels in the 50th to 90th percentiles, and further increased by more than 5 fold among girls whose urine BPA level was above the 90th percentile (Table 3). The trend test for the dose-response relationship was highly significant (p = 0.006).

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Table 3. Dose-response of Urine Bisphenol-A (BPA) Level in Relation to Overweight among School-age Girls 9 to 12 Years Old.

doi:10.1371/journal.pone.0065399.t003

To examine whether urine BPA level is also associated with other measurements of overweight/obesity in this age group of girls, we examined urine BPA level in relation to hip circumference, waist circumference, waist- to-height ratio, skinfold thickness, and BMI. A high urine BPA level was consistently associated with greater risk of overweight measured by all of these parameters. The odds ratios were in the range of 1.47 to 2.88 although only the association with hip circumference reached statistical significance while the association with waist circumference was borderline significant (Table 4).

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Table 4. Urine Bisphenol-A (BPA) Level in Relation to Other Measurements of Obesity among School-age Girls 9 to 12 Years Old.

doi:10.1371/journal.pone.0065399.t004

Discussion

In this population-based epidemiological study of young school-age children, we observed that high urine BPA level was associated with overweight among female students aged 9–12 years old (likely in pubertal developmental stages) [41], but not in male students. This finding is consistent with findings in experimental animal studies where exposure to high BPA level led to weight gain in females, but not in males [10], [12], [42]. Human studies have also reported a gender difference in the BPA effect on other outcomes [41]. More generally, it has been shown that environmental risk factors more likely impact girls’ than boys’ weight [43]. Results from this study are also consistent with a recently published report showing that urine BPA was associated with obesity in children and adolescents [34]. Although the investigators did not observe a gender difference in the association, they reported an ethnic difference with an absence of the association in Hispanic children [34].

Our finding of the association of urine BPA level and overweight among girls aged 9–12 is consistent with findings from experimental studies [42]. BPA is an environmental estrogen which could both accelerate girls’ pubertal development and weight gain during this period. The acceleration of growth by BPA may impact both weight and height, leading to a slightly weaker BPA effect on BMI measurement. A lack of the association among older girls is supported by the observation of a compensatory delay in the post-pubertal period among the girls who had earlier accelerated maturation [44][47].

The consistency between our observation and previous experimental studies as well as other human studies provides support for a genuine underlying association. The cross-section nature of the study design is a limitation of the study. However, it is unlikely that our findings were due to overweight leading to a higher urine BPA level in girls entering the pubertal stage for the following reasons. First, we did not observe the same association among older girls (>12 years old). Had overweight led to higher urine BPA levels, one would have expected to observe the same relationship in older girls. Second, we did not observe a similar association among boys either. Again, this gender discrepancy of the association cannot be explained by obesity as a cause for high urine BPA. On the other hand, this gender difference can be explained by the findings from experimental studies showing gender-specific BPA effect on obesity, and other human studies showing gender difference of environmental risk factors for body weight [10][12]. Both dose-response relationship and gender-specific effect of BPA observed in our study are consistent with the findings from experimental studies [11]. Such consistency makes it less likely that the findings be a result of other factors.

There are multiple mechanisms by which BPA could lead to obesity through its adverse impact on the metabolic process. BPA has been shown to act on adipocytes and suppresses the release of adiponectin in human adipose tissues which could lead to insulin resistance and metabolic syndrome [11], [28]. BPA, like DES, acts on estrogen receptors which could lead to obesity in a gender-specific and dose-response manner [1], [7], [14], [48]. This may explain the observed gender-specific effect. Other mechanisms include BPA effect on the pancreas, thyroid hormone pathways and brain functions [10], [11], [31], [43].

We have controlled for many known risk factors for childhood obesity including dietary factors and physical activity. In our study population, urine BPA did not seem to be related to many risk factors for obesity. Another potential limitation is that we did not have information on potential confounders during pregnancy including maternal gestational diabetes, birthweight, or preterm delivery. Also, our sample size was not large enough for subgroup analysis which might have led to the inability to reach statistical significance for some estimates. Finally, only one spot urine sample was collected in our study. However, urine BPA has been reported to be relatively stable [49], [50]. It has also been shown that a single spot urine sample provides a reasonably good measure of true BPA exposure level once the sample size is reasonably large [51]. Any variation in urine BPA would have resulted in non-differential misclassification of BPA exposure level that is independent of outcome. Existence of such misclassification would have resulted in under-estimation of the strength of the observed association.

The strengths of the study include a high participation rate, multiple pieces of supporting evidence including dose-response relationship and consistent results using other obesity measures (though some did not reach statistical significance), and being consistent with findings from experimental animal studies and a recent human study [34]. The previously reported human study was based on NHANES data from the U. S. population. Our finding was based on a Chinese population. A similar association observed in different populations increases the likelihood for a true underlying association.

Evidence is accumulating that obesogens such as BPA exposure may be contributing to the worldwide obesity epidemic. As a potential environmental obesogen, BPA exposure warrants particularly careful examination given the widespread human exposure, especially considering that the exposure level is higher in young children [18]. Both of these facts (an obesogen to which a vast majority of the population are being exposed, and higher exposure level in children) could have important implications for the epidemic of childhood obesity.

Conclusions

Our study indicated that exposure to high BPA level may contribute to childhood obesity. However, prospectively conducted studies with a clear time sequence between BPA exposure and obesity measurement, including long-term follow-up should be carried out to examine this important relationship.

Author Contributions

Conceived and designed the experiments: DKL MM WY. Analyzed the data: DKL MM ZZ CW HS XL SW WY. Contributed reagents/materials/analysis tools: ZZ CW. Wrote the paper: DKL MM WY. Conducted bpa assays: ZZ CW.

References

  1. 1. Newbold RR, Padilla-Banks E, Jefferson WN, Heindel JJ (2008) Effects of endocrine disruptors on obesity. Int J Androl 31: 201–208. doi: 10.1111/j.1365-2605.2007.00858.x
  2. 2. Chen CM (2008) Overview of obesity in Mainland China. Obes Rev 9 Suppl 114–21. doi: 10.1111/j.1467-789x.2007.00433.x
  3. 3. Shan XY, Xi B, Cheng H, Hou DQ, Wang Y, et al. (2010) Prevalence and behavioral risk factors of overweight and obesity among children aged 2–18 in Beijing, China. Int J Pediatr Obes 5: 383–389 10.3109/17477160903572001 [doi].
  4. 4. Barlow SE (2007) Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 120 Suppl 4S164–S192 120/Supplement_4/S164 [pii];10.1542/peds.2007-2329C [doi].
  5. 5. Kosti RI, Panagiotakos DB (2006) The epidemic of obesity in children and adolescents in the world. Cent Eur J Public Health 14: 151–159.
  6. 6. Wang Y, Lobstein T (2006) Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes 1: 11–25. doi: 10.1080/17477160600586747
  7. 7. Newbold RR, Padilla-Banks E, Snyder RJ, Phillips TM, Jefferson WN (2007) Developmental exposure to endocrine disruptors and the obesity epidemic. Reprod Toxicol 23: 290–296 S0890-6238(06)00303-0 [pii];10.1016/j.reprotox.2006.12.010 [doi].
  8. 8. Heindel JJ (2003) Endocrine disruptors and the obesity epidemic. Toxicol Sci 76: 247–249. doi: 10.1093/toxsci/kfg255
  9. 9. Heindel JJ, vom Saal FS (2009) Role of nutrition and environmental endocrine disrupting chemicals during the perinatal period on the aetiology of obesity. Mol Cell Endocrinol 304: 90–96 S0303-7207(09)00141-5 [pii];10.1016/j.mce.2009.02.025 [doi].
  10. 10. Rubin BS (2011) Bisphenol A: an endocrine disruptor with widespread exposure and multiple effects. J Steroid Biochem Mol Biol 127: 27–34 S0960-0760(11)00106-3 [pii];10.1016/j.jsbmb.2011.05.002 [doi].
  11. 11. Rubin BS, Soto AM (2009) Bisphenol A: Perinatal exposure and body weight. Mol Cell Endocrinol 304: 55–62 S0303-7207(09)00143-9 [pii];10.1016/j.mce.2009.02.023 [doi].
  12. 12. Rubin BS, Murray MK, Damassa DA, King JC, Soto AM (2001) Perinatal exposure to low doses of bisphenol A affects body weight, patterns of estrous cyclicity, and plasma LH levels. Environ Health Perspect 109: 675–680. sc271_5_1835 [pii].
  13. 13. Somm E, Schwitzgebel VM, Toulotte A, Cederroth CR, Combescure C, et al. (2009) Perinatal exposure to bisphenol a alters early adipogenesis in the rat. Environ Health Perspect 117: 1549–1555 10.1289/ehp.11342 [doi].
  14. 14. Newbold RR (2010) Impact of environmental endocrine disrupting chemicals on the development of obesity. Hormones (Athens ) 9: 206–217. doi: 10.14310/horm.2002.1271
  15. 15. Golub MS, Wu KL, Kaufman FL, Li LH, Moran-Messen F, et al. (2010) Bisphenol A: developmental toxicity from early prenatal exposure. Birth Defects Res B Dev Reprod Toxicol 89: 441–466 10.1002/bdrb.20275 [doi].
  16. 16. Dodds EC, Lawson W (1938) Molecular structure in relation to oestrogenic activity. Compounds without a phenanthrene nucleus. Proceedings of the Royal Society 125: 222–232. doi: 10.1098/rspb.1938.0023
  17. 17. National Toxicology Program USDOHAHS (2008) NTP-CERHR Monograph on the Potential Human Reproductive and Developmental Effects of Bisphenol A. 08–5994.
  18. 18. Calafat AM, Ye X, Wong LY, Reidy JA, Needham LL (2008) Exposure of the U.S. population to bisphenol A and 4-tertiary-octylphenol: 2003–2004. Environ Health Perspect 116: 39–44. doi: 10.1289/ehp.10753
  19. 19. Kim YH, Kim CS, Park S, Han SY, Pyo MY, et al. (2003) Gender differences in the levels of bisphenol A metabolites in urine. Biochem Biophys Res Commun 312: 441–448. doi: 10.1016/j.bbrc.2003.10.135
  20. 20. Matsumoto A, Kunugita N, Kitagawa K, Isse T, Oyama T, et al. (2003) Bisphenol A levels in human urine. Environ Health Perspect 111: 101–104. doi: 10.1289/ehp.5512
  21. 21. Silva MJ, Barr DB, Reidy JA, Malek NA, Hodge CC, et al. (2004) Urinary levels of seven phthalate metabolites in the U.S. population from the National Health and Nutrition Examination Survey (NHANES) 1999–2000. Environ Health Perspect 112: 331–338. doi: 10.1289/ehp.6723
  22. 22. Miyamoto K, Kotake M (2006) Estimation of daily bisphenol a intake of Japanese individuals with emphasis on uncertainty and variability. Environ Sci 13: 15–29.
  23. 23. Li DK, Zhou Z, Miao M, He Y, Wang J, et al. (2011) Urine bisphenol-A (BPA) level in relation to semen quality. Fertil Steril 95: 625–630 S0015-0282(10)02587-2 [pii];10.1016/j.fertnstert.2010.09.026 [doi].
  24. 24. Li DK, Zhou Z, Miao M, He Y, Qing D, et al. (2010) Relationship between urine bisphenol-A level and declining male sexual function. J Androl 31: 500–506 jandrol.110.010413 [pii];10.2164/jandrol.110.010413 [doi].
  25. 25. Li D, Zhou Z, Qing D, He Y, Wu T, et al. (2010) Occupational exposure to bisphenol-A (BPA) and the risk of self-reported male sexual dysfunction. Hum Reprod 25: 519–527 dep381 [pii];10.1093/humrep/dep381 [doi].
  26. 26. Miao M, Yuan W, Zhu G, He X, Li DK (2011) In utero exposure to bisphenol-A and its effect on birth weight of offspring. Reprod Toxicol 32: 64–68 S0890-6238(11)00076-1 [pii];10.1016/j.reprotox.2011.03.002 [doi].
  27. 27. Miao M, Yuan W, He Y, Zhou Z, Wang J, et al. (2011) In utero exposure to bisphenol-A and anogenital distance of male offspring. Birth Defects Res A Clin Mol Teratol 91: 867–872 10.1002/bdra.22845 [doi].
  28. 28. Hugo ER, Brandebourg TD, Woo JG, Loftus J, Alexander JW, et al. (2008) Bisphenol A at environmentally relevant doses inhibits adiponectin release from human adipose tissue explants and adipocytes. Environ Health Perspect 116: 1642–1647 10.1289/ehp.11537 [doi].
  29. 29. Ben-Jonathan N, Hugo ER, Brandebourg TD (2009) Effects of bisphenol A on adipokine release from human adipose tissue: Implications for the metabolic syndrome. Mol Cell Endocrinol 304: 49–54 S0303-7207(09)00144-0 [pii];10.1016/j.mce.2009.02.022 [doi].
  30. 30. Kidani T, Kamei S, Miyawaki J, Aizawa J, Sakayama K, et al.. (2010) Bisphenol A downregulates Akt signaling and inhibits adiponectin production and secretion in 3T3-L1 adipocytes. J Atheroscler Thromb 17: 834–843. JST.JSTAGE/jat/4051 [pii].
  31. 31. Carwile JL, Michels KB (2011) Urinary bisphenol A and obesity: NHANES 2003–2006. Environ Res 111: 825–830. doi: 10.1016/j.envres.2011.05.014
  32. 32. Wang T, Li M, Chen B, Xu M, Xu Y, et al. (2012) Urinary Bisphenol A (BPA) Concentration Associates with Obesity and Insulin Resistance. J Clin Endocrinol Metab 97: E223–E227. doi: 10.1210/jc.2011-1989
  33. 33. Lang IA, Galloway TS, Scarlett A, Henley WE, Depledge M, et al. (2008) Association of urinary bisphenol A concentration with medical disorders and laboratory abnormalities in adults. JAMA 300: 1303–1310 300.11.1303 [pii];10.1001/jama.300.11.1303 [doi].
  34. 34. Trasande L, Attina TM, Blustein J (2012) Association between urinary bisphenol A concentration and obesity prevalence in children and adolescents. JAMA 308: 1113–1121 1360865 [pii];10.1001/2012.jama.11461 [doi].
  35. 35. He Y, Miao M, Wu C, Yuan W, Gao E, et al.. (2009) Occupational exposure levels of bisphenol A among Chinese workers. J Occup Health 51: 432–436. JST.JSTAGE/joh/O9006 [pii].
  36. 36. He Y, Miao M, Herrinton LJ, Wu C, Yuan W, et al. (2009) Bisphenol A levels in blood and urine in a Chinese population and the personal factors affecting the levels. Environ Res 109: 629–633 S0013-9351(09)00073-5 [pii];10.1016/j.envres.2009.04.003 [doi].
  37. 37. Galloway T, Cipelli R, Guralnik J, Ferrucci L, Bandinelli S, et al. (2010) Daily bisphenol A excretion and associations with sex hormone concentrations: results from the InCHIANTI adult population study. Environ Health Perspect 118: 1603–1608 10.1289/ehp.1002367 [doi].
  38. 38. Jiang Y, Cole T, Pan H, Lin Z, Ju M, et al. (2007) Construction of height and weight percentile references for Shanghai children and adolescents. Shanghai Journal of Preventive Medicine 19: 544–547.
  39. 39. Hsu-Hage BH-H, Wahlqvist ML (1992) A food frequency questionnaire for use in Chinese populations and its validation. Asia Pacific J Clin Nutr 211–223.
  40. 40. Kovacs M (1992) Children's Depression Inventory.
  41. 41. Sun Y, Tao FB, Su PY, Mai JC, Shi HJ, et al. (2012) National estimates of the pubertal milestones among urban and rural Chinese girls. J Adolesc Health 51: 279–284. doi: 10.1016/j.jadohealth.2011.12.019
  42. 42. Howdeshell KL, Hotchkiss AK, Thayer KA, Vandenbergh JG, vom Saal FS (1999) Exposure to bisphenol A advances puberty. Nature 401: 763–764 10.1038/44517 [doi].
  43. 43. Dubois L, Ohm KK, Girard M, Tatone-Tokuda F, Perusse D, et al. (2012) Genetic and environmental contributions to weight, height, and BMI from birth to 19 years of age: an international study of over 12,000 twin pairs. PLoS One 7: e30153 10.1371/journal.pone.0030153 [doi];PONE-D-11-14346 [pii].
  44. 44. Papadimitriou A, Pantsiotou S, Douros K, Papadimitriou DT, Nicolaidou P, et al. (2008) Timing of pubertal onset in girls: evidence for non-Gaussian distribution. J Clin Endocrinol Metab 93: 4422–4425. doi: 10.1210/jc.2008-0661
  45. 45. Marti-Henneberg C, Vizmanos B (1997) The duration of puberty in girls is related to the timing of its onset. J Pediatr 131: 618–621. doi: 10.1016/s0022-3476(97)70073-8
  46. 46. Biro FM, McMahon RP, Striegel-Moore R, Crawford PB, Obarzanek E, et al. (2001) Impact of timing of pubertal maturation on growth in black and white female adolescents: The National Heart, Lung, and Blood Institute Growth and Health Study. J Pediatr 138: 636–643. doi: 10.1067/mpd.2001.114476
  47. 47. Pantsiotou S, Papadimitriou A, Douros K, Priftis K, Nicolaidou P, et al. (2008) Maturational tempo differences in relation to the timing of the onset of puberty in girls. Acta Paediatr 97: 217–220. doi: 10.1111/j.1651-2227.2007.00598.x
  48. 48. Newbold RR, Padilla-Banks E, Jefferson WN (2009) Environmental estrogens and obesity. Mol Cell Endocrinol 304: 84–89 S0303-7207(09)00142-7 [pii];10.1016/j.mce.2009.02.024 [doi].
  49. 49. Mahalingaiah S, Meeker JD, Pearson KR, Calafat AM, Ye X, et al. (2008) Temporal variability and predictors of urinary bisphenol A concentrations in men and women. Environ Health Perspect 116: 173–178. doi: 10.1289/ehp.10605
  50. 50. Teitelbaum SL, Britton JA, Calafat AM, Ye X, Silva MJ, et al. (2008) Temporal variability in urinary concentrations of phthalate metabolites, phytoestrogens and phenols among minority children in the United States. Environ Res 106: 257–269 S0013-9351(07)00211-3 [pii];10.1016/j.envres.2007.09.010 [doi].
  51. 51. Ye X, Wong LY, Bishop AM, Calafat AM (2011) Variability of urinary concentrations of bisphenol A in spot samples, first morning voids, and 24-hour collections. Environ Health Perspect 119: 983–988. doi: 10.1289/ehp.1002701