Evidence map›Paper›PMID 24693285›Full record

ArticleInternational journal of endocrinology2014

Epidemiological survey of dyslipidemia in civil aviators in china from 2006 to 2011.

Rongfu Zhao, Dan Xiao, Xiaoying Fan, Zesong Ge, Linsheng Wang, Tiecheng Yan, Jianzhi Wang, Qixin Wei, Yan Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Organizational Risk Factors for Aircrew Health: A Systematic Review of Observational Studies.International journal of environmental research and public health · 2023
    Pooled it
  2. 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

9 authors at 4 institutions in 1 country.

Rongfu ZhaoXi'an Civil Aviation Hospital, Xi'an 710082, China ; Department of Epidemiology and Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, No. 169, Changle West Road, Xi'an 710032, China.
Dan XiaoDepartment of Epidemiology and Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, No. 169, Changle West Road, Xi'an 710032, China.
Xiaoying FanXijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
Zesong GeXi'an Civil Aviation Hospital, Xi'an 710082, China.
Linsheng WangXi'an Civil Aviation Hospital, Xi'an 710082, China.
Tiecheng YanDepartment of Epidemiology and Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, No. 169, Changle West Road, Xi'an 710032, China.
Jianzhi WangChina Eastern Airlines, Xi'an 710082, China.
Qixin WeiHainan Airlines, Xi'an 710082, China.
Yan ZhaoXi'an Civil Aviation Hospital, Xi'an 710082, China.
Aviation General Hospital · CNAir Force Medical University · CNHainan Meteorological Service · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim. This study aimed to analyze blood lipid levels, temporal trend, and age distribution of dyslipidemia in civil aviators in China. Methods. The 305 Chinese aviators were selected randomly and followed up from 2006 to 2011. Their total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were evaluated annually. Mean values for each parameter by year were compared using a linear mixed-effects model. The temporal trend of borderline high, high, and low status for each index and of overall borderline high, hyperlipidemia, and dyslipidemia by year was tested using a generalized linear mixed model. Results. The aviators' TC (F = 4.33, P < 0.01), HDL-C (F = 23.25, P < 0.01), and LDL-C (F = 6.13, P < 0.01) values differed across years. The prevalence of dyslipidemia (F = 5.53, P < 0.01), borderline high (F = 6.52, P < 0.01), and hyperlipidemia (F = 3.90, P < 0.01) also differed across years. The prevalence rates for hyperlipidemia and dyslipidemia were the highest in the 41-50-year-old and 31-40-year-old groups. Conclusions. Civil aviators in China were in high dyslipidemia and borderline high level and presented with dyslipidemia younger than other Chinese populations.

Identifiers

PMID24693285
PMCPMC3947663
OpenAlexW2031246196

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.