Evidence map›Paper›PMID 40936419›Full record

ArticleJournal of global health2025

Age-period-cohort analysis of cardiovascular disease trends in middle-aged and older adults: cross-country comparison across HRS, ELSA, SHARE, and CHARLS.

Jiajia Li, Shiqi Lin, Heming Pei, Guilan Xie, Lijun Pei, Gong Chen

Abstract readComparative Study
In one paragraph

Article in Journal of global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jiajia LiInstitute of Population Research, Peking University, Beijing, China.
Shiqi LinSchool of Humanities and Social Science, Fuzhou University, Fujian, China.
Heming PeiButler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, New York, USA.
Guilan XieInstitute of Population Research, Peking University, Beijing, China.
Lijun PeiInstitute of Population Research, Peking University, Beijing, China.
Gong ChenInstitute of Population Research, Peking University, Beijing, China.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

Background: Cardiovascular disease (CVD) is a leading cause of death globally, while the dynamics of CVD risk across different age groups, periods, and birth cohorts remain unclear. This study investigates how age, period, and cohort effects contribute to CVD risk across regions differently. Methods: We employed a repeated cross-sectional design, analysing data from four large longitudinal surveys in the USA, UK, Europe, and China. A hierarchical age-period-cohort analysis was conducted using Bayesian inference through the integrated nested Laplace approximation to model the effects of age, period, and cohort on CVD risk across these regions. Subgroup analyses were also conducted to examine the moderation effects of social-demographic factors. Results: CVD risk increases with age across all regions, peaking at age 75 in China while continuously rising in other areas. Period effects showed a significant increase in CVD risk over time in the USA, UK, and China, while a decline was observed in Europe after 2017. More recent birth cohorts showed a lower CVD risk, especially in the USA and UK. In China, the decrease in risk among recent cohorts was less pronounced. Gender, marital status, education, rural residence, and smoking moderated CVD risk trends across regions. Conclusions: This study highlights the importance of age, period, and cohort effects in understanding regional differences in CVD risk among middle-aged and older adults. Findings suggest that public health interventions should be tailored to specific regions and demographic groups to reduce CVD burden effectively.

Indexed as

Cardiovascular DiseasesAgedAged, 80 and overAge FactorsChinaCohort StudiesCross-Sectional StudiesEuropeFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsUnited KingdomUnited States

Identifiers

PMID40936419
PMCPMC12434385

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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.