Evidence map›Paper›PMID 38101937›Full record

ArticleBMJ global health2023

Trend, regional variation and socioeconomic inequality in cardiovascular disease among the elderly population in China: evidence from a nationwide longitudinal study during 2011-2018.

Qiong Wu, Yang Zhao, Lihua Liu, Yuehui Liu, Jianchao Liu

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 14 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

5 authors at 3 institutions in 2 countries.

Qiong WuGraduate School of the PLA General Hospital, Chinese PLA General Hospital, Beijing, China.ORCID 0009-0005-5924-4397
Yang ZhaoThe George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0002-6011-5948
Lihua LiuHospital Management Institute, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China liulihua_hm@163.com.
Yuehui LiuHospital Management Institute, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Jianchao LiuHospital Management Institute, Department of Innovative Medical Research, Chinese PLA General Hospital, Beijing, China.
Chinese PLA General Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular disease (CVD) continues to pose a significant burden among the elderly population in China. There is a knowledge gap in the temporal trends, regional variations and socioeconomic inequalities among this vulnerable population.

methodsThis study conducted cross-sectional and cohort analyses based on four survey waves of the China Health and Retirement Longitudinal Study among adults aged ≥60 years spanning 2011-2018 across 28 provinces. Cross-sectional analyses examined temporal trends, regional variations and socioeconomic inequalities in CVD prevalence. Cohort analyses identified individuals without CVD in 2011 and followed them up until 2018 to calculate CVD incidence. Generalised estimating equations (GEE) were employed to identify associated factors.

resultsA total of 5451, 7258, 8820 and 11 393 participants were eligible for cross-sectional analyses, and 4392 and 5396 participants were included in cohort analyses of CVD and comorbid CVD. In 2018, the age-adjusted and sex-adjusted prevalence of CVD and comorbid CVD was 31.21% (95% CI 27.25% to 35.17%) and 3.83% (95% CI 2.85% to 4.81%), respectively. Trend analyses revealed a significant increase in the adjusted prevalence from 2011 to 2018 (p for trend <0.001). There were substantial provincial variations in the adjusted prevalence of CVD and comorbid CVD. Higher socioeconomic status (SES) participants exhibited higher prevalence, and the concentration curves and concentration indices suggested persistent but narrowing inequalities in CVD and comorbid CVD across survey waves. Cohort analyses from 2011 to 2018 yielded overall CVD and comorbid CVD incidence densities of 17.96 and 2.65 per 1000 person-years, respectively. GEE results indicated increased CVD risks among older individuals, women, higher SES participants and northern residents.

conclusionMore efforts should be taken to optimise strategies for high-quality CVD prevention and management in China's elderly population. Future interventions and policies should address age-specific and gender-specific, geographical, and socioeconomic disparities to ensure equitable access and outcomes for all.

Indexed as

Cardiovascular DiseasesAdultAgedChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesSocial ClassCardiovascular diseaseDescriptive studyEpidemiologyIndices of health and disease and standardisation of ratesPublic Health

Identifiers

PMID38101937
PMCPMC10729065
OpenAlexW4389781174

What OpenQuestion holds

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LicenceCC BY-NC
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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.