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dc.contributor.authorSowers, MaryFran R
dc.contributor.authorCrawford, Sybil L.
dc.contributor.authorMcConnell, Daniel S.
dc.contributor.authorRandolph, John F. Jr.
dc.contributor.authorGold, Ellen B.
dc.contributor.authorWilkin, Margaret K
dc.contributor.authorLasley, William L.
dc.date2022-08-11T08:11:05.000
dc.date.accessioned2022-08-23T17:32:21Z
dc.date.available2022-08-23T17:32:21Z
dc.date.issued2006-06-01
dc.date.submitted2007-01-25
dc.identifier.citation<p>J Nutr. 2006 Jun;136(6):1588-95.</p>
dc.identifier.issn0022-3166 (Print)
dc.identifier.doi10.1093/jn/136.6.1588
dc.identifier.pmid16702326
dc.identifier.urihttp://hdl.handle.net/20.500.14038/50932
dc.description.abstractDiet and lifestyle factors, body size, and smoking behavior may influence estrogen metabolism, but the nature of these relations may vary according to race/ethnic groups. We evaluated the association of lifestyle factors with estrogen metabolites 2-hydroxyestrone (2-OHE1) and 16alpha-hydroxyestrone (16alpha-OHE1) in a racially diverse population. With a cross-sectional study design, urine samples from 1881 African-American, Caucasian, Chinese, Japanese, and Hispanic women, aged 42-52 y, from the Study of Women's Health Across the Nation (SWAN) were assayed by EIA for 2-OHE1 and 16alpha-OHE1. Dietary factors and beverages were measured using a modified Block FFQ. Dietary fiber, vegetable and fruit servings, Brassica vegetables, polyphenols, coffee, caffeine, green and black tea, and total alcohol and wine were related to metabolite values using multiple variable regression analyses. In adjusted analyses, 2-OHE1 concentrations were significantly associated with race/ethnicity, weight, smoking, and consumption of hydroxybenzoic acid, anthocyanidins, wine, and caffeine (P < 0.05). Regression models incorporating these variables explained 19-20% of the variation in 2-OHE1 concentrations. Regression models for 16alpha-OHE1, which explained 16-17% of the variability, included race/ethnicity, smoking, caffeine, total dietary fiber, and fiber from fruits and vegetables as variables. These associations may reflect why increased consumption of polyphenol-containing foods and fruit as well as decreased smoking, caffeine intake, and body size would be consistent with hypothesized benefits and risks for selected health outcomes.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16702326&dopt=Abstract">Link to article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1093/jn/136.6.1588
dc.subjectAnticarcinogenic Agents
dc.subjectBody Size
dc.subject*Diet
dc.subjectEstrogens
dc.subject*Ethnic Groups
dc.subjectExercise
dc.subjectFemale
dc.subjectFlavonoids
dc.subjectHumans
dc.subjectHydroxyestrones
dc.subject*Life Style
dc.subjectMiddle Aged
dc.subjectPhenols
dc.subjectPopulation Surveillance
dc.subjectSmoking
dc.subjectUnited States
dc.subjectestrogen metabolism
dc.subjectpolyphenols
dc.subjectisoflavones
dc.subjectcaffeine
dc.subjectbody size
dc.subjectLife Sciences
dc.subjectMedicine and Health Sciences
dc.subjectWomen's Studies
dc.titleSelected diet and lifestyle factors are associated with estrogen metabolites in a multiracial/ethnic population of women
dc.typeJournal Article
dc.source.journaltitleThe Journal of nutrition
dc.source.volume136
dc.source.issue6
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/wfc_pp/46
dc.identifier.contextkey245190
html.description.abstract<p>Diet and lifestyle factors, body size, and smoking behavior may influence estrogen metabolism, but the nature of these relations may vary according to race/ethnic groups. We evaluated the association of lifestyle factors with estrogen metabolites 2-hydroxyestrone (2-OHE1) and 16alpha-hydroxyestrone (16alpha-OHE1) in a racially diverse population. With a cross-sectional study design, urine samples from 1881 African-American, Caucasian, Chinese, Japanese, and Hispanic women, aged 42-52 y, from the Study of Women's Health Across the Nation (SWAN) were assayed by EIA for 2-OHE1 and 16alpha-OHE1. Dietary factors and beverages were measured using a modified Block FFQ. Dietary fiber, vegetable and fruit servings, Brassica vegetables, polyphenols, coffee, caffeine, green and black tea, and total alcohol and wine were related to metabolite values using multiple variable regression analyses. In adjusted analyses, 2-OHE1 concentrations were significantly associated with race/ethnicity, weight, smoking, and consumption of hydroxybenzoic acid, anthocyanidins, wine, and caffeine (P < 0.05). Regression models incorporating these variables explained 19-20% of the variation in 2-OHE1 concentrations. Regression models for 16alpha-OHE1, which explained 16-17% of the variability, included race/ethnicity, smoking, caffeine, total dietary fiber, and fiber from fruits and vegetables as variables. These associations may reflect why increased consumption of polyphenol-containing foods and fruit as well as decreased smoking, caffeine intake, and body size would be consistent with hypothesized benefits and risks for selected health outcomes.</p>
dc.identifier.submissionpathwfc_pp/46
dc.contributor.departmentDepartment of Medicine, Division of Preventive and Behavioral Medicine
dc.source.pages1588-95


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