Evidence map›Paper›PMID 22421054›Full record

ArticleInternational journal of epidemiology2012

Systematic evaluation of environmental factors: persistent pollutants and nutrients correlated with serum lipid levels.

Chirag J Patel, Mark R Cullen, John P A Ioannidis, Atul J Butte

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 7 pooled it
16.3field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 7 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Pooled it
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  4. Association between Exposure toEnvironmental health perspectives · 2017
    Pooled it
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  11. Article
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  14. From wetlands to landfills: white stork (Arhiv za higijenu rada i toksikologiju · 2025
    Review
  15. Article
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Chirag J PatelDepartment of Pediatrics, Division of Systems Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Mark R Cullen
John P A Ioannidis
Atul J Butte
Stanford University · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1RR025744 · NCRR · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2008 to 2011
$22.4M
CARDIOVASCULAR DISEASE PREVENTION TRAINING PROGRAMT32HL007034 · NHLBI · STANFORD UNIVERSITY · PI GARDNER, CHRISTOPHER D · 1985 to 2020
$8.7M
Repositioning drugs for the treatment of small cell lung cancerR01GM079719 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2006 to 2015
$4.4M
Integrating Microarray and Proteomic Data by Ontology-based AnnotationR01LM009719 · NLM · STANFORD UNIVERSITY · PI BUTTE, ATUL J · 2008 to 2011
$1.1M
NCATS NIH HHS UL1 TR001085NCRR NIH HHS UL1 RR025744NHLBI NIH HHS T32 HL007034NIGMS NIH HHS R01 GM079719NLM NIH HHS R01 LM009719NLM NIH HHS T15 LM007033NLM NIH HHS T15LM 007033
6 · The paper itself

Abstract

backgroundBoth genetic and environmental factors contribute to triglyceride, low-density lipoprotein-cholesterol (LDL-C), and high-density lipoprotein-cholesterol (HDL-C) levels. Although genome-wide association studies are currently testing the genetic factors systematically, testing and reporting one or a few factors at a time can lead to fragmented literature for environmental chemical factors. We screened for correlation between environmental factors and lipid levels, utilizing four independent surveys with information on 188 environmental factors from the Centers of Disease Control, National Health and Nutrition Examination Survey, collected between 1999 and 2006.

methodsWe used linear regression to correlate each environmental chemical factor to triglycerides, LDL-C and HDL-C adjusting for age, age(2), sex, ethnicity, socio-economic status and body mass index. Final estimates were adjusted for waist circumference, diabetes status, blood pressure and survey. Multiple comparisons were controlled for by estimating the false discovery rate and significant findings were tentatively validated in an independent survey.

resultsWe identified and validated 29, 9 and 17 environmental factors correlated with triglycerides, LDL-C and HDL-C levels, respectively. Findings include hydrocarbons and nicotine associated with lower HDL-C and vitamin E (γ-tocopherol) associated with unfavourable lipid levels. Higher triglycerides and lower HDL-C were correlated with higher levels of fat-soluble contaminants (e.g. polychlorinated biphenyls and dibenzofurans). Nutrients and vitamin markers (e.g. vitamins B, D and carotenes), were associated with favourable triglyceride and HDL-C levels.

conclusionsOur systematic association study has enabled us to postulate about broad environmental correlation to lipid levels. Although subject to confounding and reverse causality bias, these findings merit evaluation in additional cohorts.

Indexed as

AdultAgedAge FactorsBody Mass IndexCenters for Disease Control and Prevention, U.S.Cholesterol, HDLCholesterol, LDLEnvironmental ExposureEnvironmental PollutantsFemaleHumansLipidsMaleMicronutrientsMiddle AgedNutrition SurveysCholesterol, HDLCholesterol, LDLEnvironmental PollutantsLipidsMicronutrientsTriglycerides

Identifiers

PMID22421054
PMCPMC3396318
OpenAlexW2104226995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.