Variability and Predictors of Urinary Concentrations of Phthalate Metabolites during Early Childhood

被引:97
作者
Watkins, Deborah J. [1 ]
Eliot, Melissa [1 ]
Sathyanarayana, Sheela [2 ,3 ]
Calafat, Antonia M. [4 ]
Yolton, Kimberly [5 ]
Lanphear, Bruce P. [5 ,6 ,7 ]
Braun, Joseph M. [1 ]
机构
[1] Brown Univ, Dept Epidemiol, Providence, RI 02912 USA
[2] Univ Washington, Seattle Childrens Res Inst, Dept Pediat, Seattle, WA 98105 USA
[3] Univ Washington, Dept Environm & Occupat Hlth Sci, Seattle, WA 98195 USA
[4] Ctr Dis Control & Prevent, Div Lab Sci, Natl Ctr Environm Hlth, Atlanta, GA 30341 USA
[5] Cincinnati Childrens Hosp Med Ctr, Dept Pediat, Div Gen & Community Pediat, Cincinnati, OH 45229 USA
[6] Simon Fraser Univ, BC Childrens Hosp, Child & Family Res Inst, Vancouver, BC V5A 1S6, Canada
[7] Simon Fraser Univ, Fac Hlth Sci, Vancouver, BC V5A 1S6, Canada
关键词
TEMPORAL VARIABILITY; BISPHENOL-A; CARE PRODUCTS; EXPOSURE; CHILDRENS; ASSOCIATIONS; SAMPLES; HEALTH; DUST;
D O I
10.1021/es501744v
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The variability and predictors of urinary concentrations of phthalate metabolites in preschool-aged children have not been thoroughly examined. Additionally, the impact of temporal changes in the use and restriction of phthalates in children's products has not been assessed. Our objective was to identify demographic, behavioral, and temporal predictors of urinary phthalate metabolite concentrations in young children. Between 2004 and 2011, we collected up to five urine samples from each of 296 children participating in a prospective birth cohort during annual study visits at ages 1 5 years. We used linear mixed models to calculate intraclass correlation coefficients (ICCs), a measure of within-individual reproducibility, and identify demographic predictors of urinary phthalate metabolites. We used multi-variable linear regression to examine cross-sectional relationships between food packaging or personal care product use and phthalate metabolites measured at age 5 years. Across annual measurements, monoethyl phthalate exhibited the least variation (ICC = 0.38), while di-2-ethylhexyl phthalate (Sigma DEHP) metabolites exhibited the most variation (ICC = 0.09). Concentrations changed with age, suggesting age-related changes in phthalate exposure and perhaps metabolism. Our findings suggest that fast food consumption may be a source of butylbenzyl phthalate and di-isononyl phthalate (DiNP) exposure, and some personal care products may be sources of diethyl phthalate exposure. Concentrations of Sigma DEHP metabolites decreased over the study period; however, concentrations of DiNP metabolites increased. This finding suggests that manufacturer practices and regulations, like the Consumer Product Safety Improvement Act of 2008, may decrease DEHP exposure, but additional work characterizing the nature and toxicity of replacements is critically needed.
引用
收藏
页码:8881 / 8890
页数:10
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共 35 条
  • [1] Children's Phthalate Intakes and Resultant Cumulative Exposures Estimated from Urine Compared with Estimates from Dust Ingestion, Inhalation and Dermal Absorption in Their Homes and Daycare Centers
    Beko, Gabriel
    Weschler, Charles J.
    Langer, Sarka
    Callesen, Michael
    Toftum, Jorn
    Clausen, Geo
    [J]. PLOS ONE, 2013, 8 (04):
  • [2] The association between asthma and allergic symptoms in children and phthalates in house dust:: A nested case-control study
    Bornehag, CG
    Sundell, J
    Weschler, CJ
    Sigsgaard, T
    Lundgren, B
    Hasselgren, M
    Hägerhed-Engman, L
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2004, 112 (14) : 1393 - 1397
  • [3] Determination of phthalate diesters in foods
    Bradley, Emma L.
    Burden, Richard A.
    Leon, Irene
    Mortimer, David N.
    Speck, Dennis R.
    Castle, Laurence
    [J]. FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2013, 30 (04): : 722 - 734
  • [4] Variability of Urinary Phthalate Metabolite and Bisphenol A Concentrations before and during Pregnancy
    Braun, Joe M.
    Smith, Kristen W.
    Williams, Paige L.
    Calafat, Antonia M.
    Berry, Katharine
    Ehrlich, Shelley
    Hauser, Russ
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2012, 120 (05) : 739 - 745
  • [5] Phthalate exposure and children's health
    Braun, Joseph M.
    Sathyanarayana, Sheela
    Hauser, Russ
    [J]. CURRENT OPINION IN PEDIATRICS, 2013, 25 (02) : 247 - 254
  • [6] Consumer product exposures associated with urinary phthalate levels in pregnant women
    Buckley, Jessie P.
    Palmieri, Rachel T.
    Matuszewski, Jeanine M.
    Herring, Amy H.
    Baird, Donna D.
    Hartmann, Katherine E.
    Hoppin, Jane A.
    [J]. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY, 2012, 22 (05) : 468 - 475
  • [7] Urinary phthalate metabolite concentrations among pregnant women in Northern Puerto Rico: Distribution, temporal variability, and predictors
    Cantonwine, David E.
    Cordero, Jose F.
    Rivera-Gonzalez, Luis O.
    Del Toro, Liza V. Anzalota
    Ferguson, Kelly K.
    Mukherjee, Bhramar
    Calafat, Antonia M.
    Crespo, Noe
    Jimenez-Velez, Braulio
    Padilla, Ingrid Y.
    Alshawabkeh, Akram N.
    Meeker, John D.
    [J]. ENVIRONMENT INTERNATIONAL, 2014, 62 : 1 - 11
  • [8] PVC flooring is related to human uptake of phthalates in infants
    Carlstedt, F.
    Jonsson, B. A. G.
    Bornehag, C. -G
    [J]. INDOOR AIR, 2013, 23 (01) : 32 - 39
  • [9] Study on the influence of temperature, storage time and packaging type on di-n-butylphthalate and di(2-ethylhexyl)phthalate release into packed meals
    Cirillo, Teresa
    Fasano, Evelina
    Esposito, Francesco
    Del Prete, Ernesto
    Cocchieri, Renata Amodio
    [J]. FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2013, 30 (02): : 403 - 411
  • [10] Prenatal Phthalate Exposure Is Associated with Childhood Behavior and Executive Functioning
    Engel, Stephanie M.
    Miodovnik, Amir
    Canfield, Richard L.
    Zhu, Chenbo
    Silva, Manori J.
    Calafat, Antonia M.
    Wolff, Mary S.
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2010, 118 (04) : 565 - 571