Evidence map›Paper›PMID 30447499›Full record

ArticleEnvironmental research2019

Predictors of urinary phthalate biomarker concentrations in postmenopausal women.

Katherine W Reeves, Mary Díaz Santana, JoAnn E Manson, Susan E Hankinson, R Thomas Zoeller, Carol Bigelow, Lifang Hou, Jean Wactawski-Wende, Simin Liu, Lesley Tinker and 1 more

Abstract read
In one paragraph

Article in Environmental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Exposure to phthalates and cardiovascular diseases in Chinese with type 2 diabetes.Environmental science and pollution research international · 2021
    Article
  14. Urinary Phthalate Biomarkers and Bone Mineral Density in Postmenopausal Women.The Journal of clinical endocrinology and metabolism · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Katherine W ReevesDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA. Electronic address: kwreeves@umass.edu.
Mary Díaz SantanaDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, and the Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Susan E HankinsonDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.
R Thomas ZoellerDepartment of Biology, University of Massachusetts Amherst, Amherst, MA, USA.
Carol BigelowDepartment of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, USA.
Lifang HouCenter for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center and Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jean Wactawski-WendeDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Simin LiuCenter for Global Cardiometabolic Health and Departments of Epidemiology, Medicine, and Surgery, Brown University, Providence, RI, USA.
Lesley TinkerCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Antonia M CalafatDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.

Funding

Phthalate Metabolites and Breast Cancer Risk in the Women's Health InitiativeR01ES024731 · NIEHS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI REEVES, KATHERINE WHITNEY · 2015 to 2017
$1.7M
NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIEHS NIH HHS R01 ES024731
6 · The paper itself

Abstract

backgroundPhthalates are ubiquitous endocrine disrupting chemicals present in a wide variety of consumer products. However, the personal characteristics associated with phthalate exposure are unclear.

objectivesWe sought to describe personal, behavioral, and reproductive characteristics associated with phthalate metabolite concentrations in an ongoing study nested within the Women's Health Initiative (WHI). MATERIALS AND

methodsWe measured thirteen phthalate metabolites in two or three archived urine samples collected in 1993-2001 from each of 1257 WHI participants (2991 observations). We fit multivariable generalized estimating equation models to predict urinary biomarker concentrations from personal, behavioral, and reproductive characteristics.

resultsOlder age was predictive of lower concentrations of monobenzyl phthalate (MBzP), mono-carboxyoctyl phthalate (MCOP), mono-3-carboxypropyl phthalate (MCPP), and the sum of di-n-butyl phthalate metabolites (ΣDBP). Phthalate metabolite concentrations varied by race/region, with generally higher concentrations observed among non-Whites and women from the West region. Higher neighborhood socioeconomic status predicted lower MBzP concentrations, and higher education predicted lower monoethyl phthalate (MEP) and higher concentrations of the sum of metabolites of di-isobutyl phthalate (ΣDiBP). Overweight/obesity predicted higher MBzP, MCOP, monocarboxynonyl phthalate (MCNP), MCPP, and the sum of metabolites of di(2-ethylhexyl) phthalate (ΣDEHP) and lower MEP concentrations. Alcohol consumption predicted higher concentrations of MEP and ΣDBP, while current smokers had higher ΣDBP concentrations. Better diet quality as assessed by Healthy Eating Index 2005 scores predicted lower concentrations of MBzP, ΣDiBP, and ΣDEHP.

conclusionFactors predictive of lower biomarker concentrations included increased age and healthy behaviors (e.g. lower alcohol intake, lower body mass index, not smoking, higher quality diet, and moderate physical activity). Racial group (generally higher among non-Whites) and geographic regions (generally higher in Northeast and West compared to South regions) also were predictive of phthalate biomarker concentrations.

Indexed as

AgedBiomarkersChildEnvironmental ExposureEnvironmental PollutantsFemaleHumansPhthalic AcidsPostmenopausePregnancyWomenBiomarkersEnvironmental Pollutantsphthalic acidPhthalic AcidsPhthalatesPostmenopausalWomen

Identifiers

PMID30447499
PMCPMC6347530

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.