Evidence map›Paper›PMID 26380972›Full record

ArticlePloS one2015

Selenium Level and Dyslipidemia in Rural Elderly Chinese.

Liqin Su, Sujuan Gao, Frederick W Unverzagt, Yibin Cheng, Ann M Hake, Pengju Xin, Chen Chen, Jingyi Liu, Feng Ma, Jianchao Bian and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Quercetin Beneficial Role in the Homeostatic Variation of Certain Trace Elements in Dyslipidemic Mice.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. The Association of Circulating Selenium Concentrations with Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
  12. Article
  13. Review
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

12 authors at 4 institutions in 2 countries.

Liqin SuDepartment of Environmental Impact Assessment, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Sujuan GaoDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
Frederick W UnverzagtDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
Yibin ChengDepartment of Environmental Epidemiology, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Ann M HakeDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, United States of America.
Pengju XinDepartment of Environmental Epidemiology, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Chen ChenDepartment of Environmental Epidemiology, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Jingyi LiuDepartment of Environmental Epidemiology, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Feng MaDepartment of Environmental Epidemiology, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianchao BianShandong Institute for Prevention and Treatment of Endemic Disease in China, Jinan, China.
Ping LiSichuan Provincial Center for Disease Control and Prevention in China, Chengdu, China.
Yinlong JinDepartment of Environmental Epidemiology, Institute for Environmental Health and Related Product Safety, Chinese Center for Disease Control and Prevention, Beijing, China.
Chinese Center For Disease Control and Prevention · CNIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineSichuan Center for Disease Control and Prevention · CN

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Selenium, other risk factors and cognitive decline in rural elderly ChineseR01AG019181 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GAO, SUJUAN · 2003 to 2014
$4.1M
NCATS NIH HHS UL1 TR001108NIA NIH HHS 2R01 AG019181NIA NIH HHS R01 AG019181
6 · The paper itself

Abstract

objectiveHigher selenium level has been hypothesized to have the potential to reduce the risk of cardiovascular diseases including dyslipidemia. However, results from previous studies are inconsistent. This study aims to determine the association between selenium level and dyslipidemia in elderly Chinese with relatively low selenium status.

methodsA cross-sectional study of 1859 participants aged 65 or older from four rural counties in China was conducted. Serum total cholesterol (TC), triglycerides (TG), high density lipoprotein-cholesterol (HDLC) and low-density lipoprotein-cholesterol (LDLC), nail selenium concentration and APOE genotype were measured in all subjects. The four types of dyslipidemia were defined as >5.17 mmol/L for High-TC, >1.69 mmol/L for High-TG, >3.36 mmol/L for High-LDLC, and <1.04 mmol/L for Low-HDLC according to Chinese Guidelines on Prevention and Treatment of Dyslipidemia in Adults. Logistic models adjusting for age, gender, APOE genotype, body mass index, alcohol consumption, smoking, physical activity, medication use for cardiovascular diseases were used to examine the relationship between selenium levels and the risk of dyslipidemia.

resultsMean nail selenium concentration was 0.465 μg/gin this sample. Rates for High-TC, High-LDLC, High-TG, Low-HDLC were 18.13%, 13.23%, 12.21% and 32.76% respectively. Results from logistic models indicated that higher selenium levels were significantly associated with higher risk of High-TC, High-LDLC and lower risk of Low-HDLC adjusting for covariates (p < 0.0001). Compared with the lowest selenium quartile group, participants in selenium quartile groups 2, 3 and 4 had significantly higher rates of High-TC, High-LDLC, High-TG, and lower rate of Low-HDLC adjusting for covariates. No significant association was observed between selenium level and the risk of High-TG. APOEε4 carriers had higher rates of High-TC and High-LDLC. There was no interaction between selenium level and APOE with the rates of dyslipidemia.

conclusionsOur results suggest long-term selenium exposure level may be associated with the risk of dyslipidemia in elderly population. Future studies are needed to examine the underlying mechanism of the association.

Indexed as

AgedAged, 80 and overChinaCross-Sectional StudiesDyslipidemiasFemaleHumansLipidsMaleRural PopulationSeleniumLipidsSelenium

Identifiers

PMID26380972
PMCPMC4575098
OpenAlexW2253244237

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.