Evidence map›Paper›PMID 28939702›Full record

ArticleJournal of the American Heart Association2017

Self-Rated Health Status and Risk of Ischemic Heart Disease in the China Kadoorie Biobank Study: A Population-Based Cohort Study.

Wenhong Dong, Xiong-Fei Pan, Canqing Yu, Jun Lv, Yu Guo, Zheng Bian, Ling Yang, Yiping Chen, Tangchun Wu, Zhengming Chen and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

13 authors.

Wenhong DongMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiong-Fei PanMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China panan@hust.edu.cn lmlee@vip.163.com.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Beijing University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Beijing University, Beijing, China.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Tangchun WuMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
An PanMinistry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Beijing University, Beijing, China panan@hust.edu.cn lmlee@vip.163.com.
China Kadoorie Biobank Collaborative Group

Funding

Medical Research Council MC_U137686851Medical Research Council MC_UU_12026/2Wellcome Trust
6 · The paper itself

Abstract

backgroundSelf-rated health (SRH) is a strong predictor of mortality in different populations. However, the associations between SRH measures and risk of ischemic heart disease (IHD) have not been extensively explored, especially in a Chinese population. METHODS AND

resultsMore than 500 000 adults from 10 cities in China were followed from baseline (2004-2008) through December 31, 2013. Global and age-comparative SRH were reported from baseline questionnaires. Incident IHD cases were identified through links to well-established disease registry systems and the national health insurance system. During 3 423 542 person-years of follow-up, we identified 24 705 incident cases of IHD. In multivariable-adjusted models, both global and age-comparative SRH was significantly associated with incident IHD. Compared with excellent SRH, the hazard ratios for good, fair, and poor SRH were 1.02 (95% confidence interval [CI], 0.98-1.07), 1.32 (95% CI, 1.27-1.37), and 1.76 (95% CI, 1.68-1.85), respectively. Compared with better age-comparative SRH, the hazard ratios for same and worse age-comparative SRH were 1.23 (95% CI, 1.19-1.27) and 1.78 (95% CI, 1.70-1.86), respectively. The associations persisted in all subgroup analyses, although they were slightly modified by study location, education, and income levels.

conclusionsA simple questionnaire for self-assessment of health status was significantly associated with incident IHD in Chinese adults. Individuals and healthcare providers can use SRH measures as a convenient tool for assessing future IHD risk.

Indexed as

Biological Specimen BanksHealth StatusSelf ReportAdultChinaFemaleHumansIncidenceLife StyleMaleMiddle AgedMyocardial IschemiaPopulation SurveillancePredictive Value of TestsProspective StudiesRisk AssessmentChinesecohort studyischemic heart diseaseself‐rated health status

Identifiers

PMID28939702
PMCPMC5634301

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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.