Evidence map›Paper›PMID 29949863›Full record

ArticleInternational journal of environmental research and public health2018

Predictors of Urinary Arsenic Levels among Postmenopausal Danish Women.

Nina Roswall, Ulla A Hvidtfeldt, James Harrington, Keith E Levine, Mette Sørensen, Anne Tjønneland, Jaymie R Meliker, Ole Raaschou-Nielsen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

8 authors at 5 institutions in 2 countries.

Nina RoswallDanish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark. roswall@cancer.dk.ORCID 0000-0003-3071-1658
Ulla A HvidtfeldtDanish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark. ullah@cancer.dk.
James HarringtonAnalytical Sciences Division, Research Triangle Institute, 3040 East Cornwallis Road, PO Box 12194, Research Triangle Park, NC 27709-2194, USA. jharrington@rti.org.
Keith E LevineAnalytical Sciences Division, Research Triangle Institute, 3040 East Cornwallis Road, PO Box 12194, Research Triangle Park, NC 27709-2194, USA. levine@rti.org.
Mette SørensenDanish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark. mettes@cancer.dk.
Anne TjønnelandDanish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark. annet@cancer.dk.
Jaymie R MelikerProgram in Public Health, Department of Family, Population, and Preventive Medicine, Stony Brook University, 101 Nicolls Road, Stony Brook, NY 11794, USA. Jaymie.meliker@stonybrookmedicine.edu.
Ole Raaschou-NielsenDanish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark. ole@cancer.dk.
Danish Cancer Society · DKRTI International · USAarhus University · DKRoskilde University · DKStony Brook University · US

Funding

Urinary cadmium and risk of breast cancerR01ES019209 · NIEHS · STATE UNIVERSITY NEW YORK STONY BROOK · PI MELIKER, JAYMIE R · 2011 to 2014
$1.9M
NIEHS NIH HHS R01 ES019209
6 · The paper itself

Abstract

Arsenic is a risk factor for several noncommunicable diseases, even at low doses. Urinary arsenic (UAs) concentration is a good biomarker for internal dose, and demographic, dietary, and lifestyle factors are proposed predictors in nonoccupationally exposed populations. However, most predictor studies are limited in terms of size and number of predictors. We investigated demographic, dietary, and lifestyle determinants of UAs concentrations in 744 postmenopausal Danish women who had UAs measurements and questionnaire data on potential predictors. UAs concentrations were determined using mass spectrometry (ICP-MS), and determinants of the concentration were investigated using univariate and multivariate regression models. We used a forward selection procedure for model optimization. In all models, fish, alcohol, and poultry intake were associated with higher UAs concentration, and tap water, fruit, potato, and dairy intake with lower concentration. A forward regression model explained 35% (

Indexed as

Dietary ExposureAnimalsArsenicBiomarkersDenmarkDietEnvironmental ExposureFemaleFishesHumansMiddle AgedModels, StatisticalPostmenopauseRisk FactorsSeafoodSmokingArsenicBiomarkersarsenicdemographydeterminantsdietlifestylepredictors

Identifiers

PMID29949863
PMCPMC6068487
OpenAlexW2811436403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.