Evidence map›Paper›PMID 37841077›Full record

ArticleRisk management and healthcare policy2023

Cardiovascular Disease in China: Socioeconomic Status Variation in Prevalence.

Chao Zhang, Ying Shen, Anxin Wang, Da Wang, Lei Cao, Wei Yue

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

6 authors.

Chao ZhangDepartment of Neurology, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Clinical College of Neurology, Neurosurgery, and Neurorehabilitation, Tianjin Medical University, Tianjin University, Tianjin, People's Republic of China.
Ying ShenDepartment of Traditional Chinese Medicine, Beijing Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
Anxin WangDepartment of Epidemiology, National Clinical Research Center for Neurological Diseases, Beijing TianTan Hospital, Capital Medical University, Beijing, People's Republic of China.
Da WangDepartment of Medical Administration, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, People's Republic of China.
Lei CaoDepartment of Neurology, Nation Project Office of Stroke Prevention and Control, Beijing, People's Republic of China.
Wei YueDepartment of Neurology, Tianjin Key Laboratory of Cerebral Vascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Clinical College of Neurology, Neurosurgery, and Neurorehabilitation, Tianjin Medical University, Tianjin University, Tianjin, People's Republic of China.ORCID 0000-0003-1668-7364

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiovascular disease is the single largest contributor to global mortality and the leading cause of both death and premature death in China. Data on the association between cardiovascular disease and socioeconomic status are sparse, especially for Asian countries. Our study collected data to describe the socioeconomic status variation across cardiovascular disease using a large nationwide cross-sectional study. Methods: We chose participants using the cluster sampling method, prepared a face-to-face questionnaire interview for the selected community residents, and collected information on health conditions, socioeconomic status, demographics, and comorbidities. All collected data were reported as frequencies and corresponding percentages. Linear regression and simple and multivariable logistic regression were performed to identify the prevalence variation. All statistical analyses were performed using SPSS version 26 software. Results: Socioeconomic information was available for 394,688 participants (covering most provincial districts). The prevalence of cardiovascular disease was 7.9%. The prevalence was higher in rural areas than that in urban areas (rural, 8.4%; urban, 7.5%). There was a negative relationship between urbanization and cardiovascular disease prevalence. Furthermore, cardiovascular disease prevalence had a negative relationship with average earnings. Conclusion: This cross-sectional analysis of socioeconomic status variation in the prevalence of cardiovascular disease in China showed a significant negative relationship between regional and individual socioeconomic status and cardiovascular disease. The results imply that governments would benefit communities by focusing on effective and targeted interventions for prevention, screening, and treatment in individuals who may be in the socioeconomic status with a high risk for cardiovascular disease.

Indexed as

cardiovascular diseaseincomeprevalencesocioeconomic statusurbanization

Identifiers

PMID37841077
PMCPMC10575027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.