Evidence map›Paper›PMID 32120888›Full record

ArticleInternational journal of environmental research and public health2020

The Association between Health Insurance and All-Cause, Cardiovascular Disease, Cancer and Cause-Specific Mortality: A Prospective Cohort Study.

Liying Song, Yan Wang, Baodong Chen, Tan Yang, Weiliang Zhang, Yafeng Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  3. Social Determinants of Health and Effects on Cardiovascular Disease.The International journal of angiology : official publication of the International College of Angiology, Inc · 2026
    Review
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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

6 authors.

Liying SongSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an 710061, China.
Yan WangSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an 710061, China.
Baodong ChenDepartment of Accounting, School of management, Xi'an Polytechnic University, No.19, Jinhua South Road, Xincheng District, Xi'an 710048, China.
Tan YangSchool of Finance and accounting, Xi'an University of Technology, No. 58, Yanxiang Road, Yanta District, Xi'an 710054, China.
Weiliang ZhangSchool of Economics and Finance, Xi'an International Studies University, South Wenyuan Road, Chang'an District, Xi'an 710128, China.
Yafeng WangDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to evaluate the association of insurance status with all-cause and cause-specific mortality. A total of 390,881 participants, aged 18-64 years and interviewed from 1997 to 2013 were eligible for a mortality follow-up in December 31, 2015. Cox proportional hazards models were used to calculate the hazards ratios (HR) and 95% confidence intervals (CI) to determine the association between insurance status and all-cause and cause-specific mortality. The sample group cumulatively aged 4.22 million years before their follow-ups, with a mean follow-up of 10.4 years, and a total of 22,852 all-cause deaths. In fully adjusted models, private insurance was significantly associated with a 17% decreased risk of mortality (HR = 0.83; 95% CI = 0.80-0.87), but public insurance was associated with a 21% increased risk of mortality (HR = 1.21; 95% CI = 1.15-1.27). Compared to noninsurance, private coverage was associated with about 21% lower CVD mortality risk (HR = 0.79, 95% CI = 0.70-0.89). In addition, public insurance was associated with increased mortality risk of kidney disease, diabetes and CLRD, compared with noninsurance, respectively. This study supports the current evidence for the relationship between private insurance and decreased mortality risk. In addition, our results show that public insurance is associated with an increased risk of mortality.

Indexed as

Cardiovascular DiseasesInsurance, HealthNeoplasmsAdolescentAdultCause of DeathChild, PreschoolFemaleHumansMaleMiddle AgedPrivate SectorProportional Hazards ModelsProspective StudiesRisk FactorsYoung Adultcohorthealth insurancemortality

Identifiers

PMID32120888
PMCPMC7084505

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.