Evidence map›Paper›PMID 32130248›Full record

ArticlePloS one2020

Risk of coronary heart disease in the rural population in Xinjiang: A nested case-control study in China.

Changjing Li, Rulin Ma, Xianghui Zhang, Jiaolong Ma, Xinping Wang, Jia He, Jingyu Zhang, Kui Wang, Yunhua Hu, Hongrui Pang and 5 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

15 authors.

Changjing LiDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Rulin MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xianghui ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jiaolong MaDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Xinping WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jia HeDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Jingyu ZhangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Kui WangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yunhua HuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Hongrui PangDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Lati MuDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yizhong YanDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Yanpeng SongDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Heng GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.
Shuxia GuoDepartment of Public Health, Shihezi University School of Medicine, Shihezi, China.ORCID 0000-0002-8139-2813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimCoronary heart disease (CHD) is a chronic complex disease caused by a combination of factors such as lifestyle behaviors and environmental and genetic factors. We conducted this study to evaluate the risk factors affecting the development of CHD in Xinjiang, and to obtain valuable information for formulating appropriate local public health policies.

methodWe conducted a nested case-control study with 277 confirmed CHD cases and 554 matched controls. The association of the risk factors with the risk of CHD was assessed using the multivariate Cox proportional hazard model. Multiplicative interactions were evaluated by entering interaction terms in the Cox proportional hazard model. The additive interactions among the risk factors were assessed by the index of additive interaction.

resultsThe risk of CHD increased with frequent high-fat food consumption, dyslipidemia, obesity, and family history of CHD after adjustment for drinking, smoking status, hypertension, diabetes, family history of hypertension, and family history of diabetes. We noted consistent interactions between family history of CHD and frequent high-fat food consumption, family history of CHD and obesity, frequent high-fat food consumption and obesity, frequent high-fat food consumption and dyslipidemia, and obesity and dyslipidemia. The risk of CHD events increased with the presence of the aforementioned interactions.

conclusionsFrequent high-fat food consumption, family history of CHD, dyslipidemia and obesity were independent risk factors for CHD, and their interactions are important for public health interventions in patients with CHD in Xinjiang.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesChinaCoronary DiseaseDiet, High-FatDyslipidemiasFemaleHumansMaleMedical History TakingMiddle AgedMultivariate AnalysisObesityProportional Hazards Models

Identifiers

PMID32130248
PMCPMC7055895

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.