Evidence map›Paper›PMID 25297696›Full record

ArticleBMC public health2014

Prevalence of dyslipidemia and its association with insomnia in a community based population in China.

Yiqiang Zhan, Fen Zhang, Leihong Lu, Jinsong Wang, Yihong Sun, Rongjing Ding, Dayi Hu, Jinming Yu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 44 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Yiqiang Zhan
Fen Zhang
Leihong Lu
Jinsong Wang
Yihong Sun
Rongjing Ding
Dayi Hu
Jinming YuKey Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, P, R, China. jmy@fudan.edu.cn.
Fudan University · CNPeking University · CNLinyi People's Hospital · CNPeking University People's Hospital · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies of the prevalence of dyslipidemia and its association with insomnia are scarce in China. This study investigated the prevalence of dyslipidemia and its association with insomnia in a community based Chinese population.

methodsWe conducted a cross-sectional survey in Beijing and recruited 10054 participants aged ≥ 18 years. The association between self-reported insomnia and dyslipidemia was determined by multiple logistic regression models. Age, gender, education, obesity, body mass index, physical activity, current smoking, current drinking, diabetes, and hypertension were adjusted as confounders. Odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were reported as effect measurements.

resultsThe prevalence of dyslipidemia in those with no insomnia, occasional insomnia, and frequent insomnia were 53.3%, 54.3%, and 54.5% in men and 52.0%, 54.8%, and 61.2% in women. Compared with subjects with no insomnia, the multivariate adjusted ORs and 95% CIs for those with occasional insomnia and frequent insomnia were 1.07(0.86 ~ 1.34) and 1.19(0.89 ~ 1.60) for men, and 1.00(0.86 ~ 1.14) and 1.23(1.03 ~ 1.47) for women.

conclusionsThese observations indicate that frequent insomnia was associated with a higher prevalence of dyslipidemia in women. This association was not significant in men.

Indexed as

AdultAgedChinaComorbidityConfidence IntervalsCross-Sectional StudiesDyslipidemiasFemaleHumansLogistic ModelsMaleMiddle AgedOdds RatioPrevalenceRisk FactorsSleep Initiation and Maintenance Disorders

Identifiers

PMID25297696
PMCPMC4197222
OpenAlexW2074999791

What OpenQuestion holds

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LicenceCC BY
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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.