ArticleEClinicalMedicine2022
Predicted heart age profile across 41 countries: A cross-sectional study of nationally representative surveys in six world regions.
Article in EClinicalMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Non-laboratory-based cardiovascular risk assessment: 10-year absolute risk, predicted heart age and intervention requirements in a Nigerian population.BMC cardiovascular disorders · 2026Article
- Predicted Excess Cardiovascular Age and a Reverse Socioeconomic Gradient in a Middle-Income Latin American Country: A Population-Based Analysis of 163,889 Peruvians.Journal of cardiovascular development and disease · 2026Article
- Associations of Biological Age and Heart Age Accelerations With New-Onset Stroke in Individuals With Cardiovascular-Kidney-Metabolic Syndrome Stages 0-3: Evidence From a Chinese Longitudinal Study.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Association of cancer treatment with excess heart age among five-year young breast cancer survivors.Journal of cancer survivorship : research and practice · 2026Article
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- Child Marriage and Cardiovascular Risk: An Application of the Non-laboratory Framingham Risk Score.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024Article
- A biomarker framework for cardiac aging: the Aging Biomarker Consortium consensus statement.Life medicine · 2023Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Predicted heart age (PHA) can simplify communicating the absolute cardiovascular disease (CVD) risk. Few studies have characterized PHA across multiple populations, and none has described whether people with excess PHA are eligible for preventive treatment for CVD. Methods: Pooled analysis of 41 World Health Organization (WHO) STEPS surveys conducted in 41 countries in six world regions between 2013 and 2019. PHA was calculated as per the non-laboratory Framingham risk score in adults without history of CVD. We described the differences between chronological age and PHA, the distribution of PHA, and the proportion of people with excess PHA that were eligible for antihypertensive and lipid-lowering treatment following the WHO guidelines. Logistic regression models were fitted to assess sociodemographic and health-related variables associated with PHA excess. Findings: 94,655 individuals aged 30-74 years were included. 36% of those aged 30-34 years had a PHA of 30-34 years; 9% of those aged 60-64 years had a PHA of 60-64 years. Countries in Africa had the lowest prevalence of very high PHA (i.e., PHA exceeding chronological age in ≥5 years) and countries in Western Pacific had the highest. ≥50% of the population with PHA excess (i.e., PHA exceeding chronological age in ≥1 year) was not eligible for antihypertensive nor lipid-lowering treatment. Abdominal obesity, high total cholesterol, smoking and having diabetes were associated with higher odds of having PHA excess, whereas higher education and employment were inversely associated with excess PHA. Interpretation: PHA is generally higher than chronological age in LMICs and there are regional disparities. Most people with excess PHA would not be eligible to receive preventive medication. Funding: RMC-L is supported by a Wellcome Trust International Training Fellowship (214185/Z/18/Z).
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