4.6 Article

Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN)

出版社

ELSEVIER GMBH
DOI: 10.1016/j.ijheh.2019.05.002

关键词

Metals; Mixtures; Clustering analysis; Women; Mid-life

资金

  1. National Institute of Environmental Health Sciences (NIEHS) [R01-ES026578, R01-ES026964, P30-ES017885]
  2. Center for Disease Control and Prevention (CDC)/National Institute for Occupational Safety and Health (NIOSH) [T42-0H008455]
  3. National Institutes of Health (NIH), DHHS, through the National Institute on Aging (NIA)
  4. National Institute of Nursing Research (NINA)
  5. NIH Office of Research on Women's Health (ORWH) [U01NR004061, U01AG012505, U01AG012535, U01AG012531, U01AG012539, U01AG012546, U01AG012553, U01AG012554, U01AG012495]
  6. National Center for Research Resources
  7. National Center for Advancing Translational Sciences, National Institutes of Health, through UCSF-CTSI [UL1 RR024131]

向作者/读者索取更多资源

Background: Little is known about the extent of exposure to metals and metal mixtures among midlife women. Objectives: We assessed exposure to multiple metals in the Study of Women's Health Across the Nation (SWAN), a multi-site, multi-racial/ethnic cohort of women at midlife. Methods: We measured urinary concentrations of 21 metals (arsenic, barium, beryllium, cadmium, cobalt, chromium, cesium, copper, mercury, manganese, molybdenum, nickel, lead, platinum, antimony, tin, thallium, uranium, vanadium, tungsten and zinc) using high-resolution inductively coupled plasma-mass spectrometry among 1335 white, black, Chinese and Japanese women aged 45-56 years at the third SWAN annual visit (1999-2000). Least squared geometric mean concentrations were compared across race/ethnicity, education, financial hardship, smoking, secondhand smoking, seafood intake and rice intake groups. Overall exposure patterns of multiple metals were derived using k-means clustering method. Results: The percentage of women with detectable concentrations of metals ranged from 100% for arsenic, cesium, molybdenum and zinc, to less than 5% for platinum; 15 metals had detection rates of 70% or more. Asian women, both Chinese and Japanese, had higher urinary concentrations of arsenic, cadmium, copper, mercury, molybdenum, lead and thallium, compared with other race/ethnic groups, independent of sociodemographic, lifestyle, dietary, and geographic characteristics. Seafood and rice intake were important determinants of urinary arsenic, cesium, mercury, molybdenum and lead levels. Two distinct overall exposure patterns- high vs. low - were identified. Women in the high overall exposure pattern were more likely to be Asians, current smokers, and to report high consumption of seafood and rice. Black women were less likely to have the high exposure pattern. Conclusions: Metal exposure of midlife women differs by racial/ethnic, sociodemographic, lifestyle, dietary, and geographic characteristics. Asian women may be experiencing the highest exposures to multiple metals compared with other racial/ethnic groups in the United States.

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