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Cited by 201Heart Rate Variability and Autonomic ControlHeart rate and cardiovascular healthCardiovascular Health and Risk Factors

Heart Rate as a Predictor of Mortality: The MATISS Project

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Seccareccia, Fulvia, Pannozzo, Fabio, Dima, Francesco, Minoprio, Anna, Menditto, Antonio, Lo Noce, Cinzia, Giampaoli, Simona·2001·American Journal of Public Health
DOI 10.2105/ajph.91.8.1258PMC PMC1446757
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Abstract

Objectives. This study sought to verify the independent role of heart rate in the prediction of all-cause, cardiovascular, and noncardiovascular mortality in a low-risk male population. Methods. In an Italian population-based observational study, heart rate was measured in 2533 men, aged 40 to 69 years, between 1984 and 1993. Data on cardiovascular risk factors were collected according to standardized procedures. Vital status was updated to December 1997. Results. Of 2533 men followed up (representing 24 457 person-years), 393 men died. Age-adjusted death rates for 5 heart rate levels showed increasing trends. The adjusted hazard rate ratios for each heart rate increment were 1.52 (95% confidence interval [CI] = 1.29, 1.78) for all-cause mortality, 1.63 (95% CI = 1.26, 2.10) for cardiovascular mortality, and 1.47 (95% CI = 1.19, 1.80) for noncardiovascular mortality. Relative risks between extreme levels were more than 2-fold for all endpoints considered. Conclusions. Heart rate is an independent predictor of cardiovascular, noncardiovascular, and total mortality in this Italian middle-aged male population.

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  • Similar SES gradients are seen for blood pressure, total and HDL cholesterol, and C-reactive protein, with lower SES associated with a higher prevalence of high-risk values for all of these parameters.

    “As shown in Figure 2, similar SES gradients are seen for a wide array of additional biological risk factors, including blood pressure, total and HDL cholesterol, and C-reactive protein (CRP) with lower SES associated with a higher prevalence of”

    From Socio‐economic differentials in peripheral biology: Cumulative allostatic load (2010) · cites this paper as [76]

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Authors
Seccareccia, F., Pannozzo, F., Dima, F., Minoprio, A., Menditto, A., Lo Noce, C., & Giampaoli, S.
Affiliations
  • Istituto Superiore di Sanità (IT)
  • Fulvia Seccareccia, Francesco Dima, Cinzia Lo Noce, and Simona Giampaoli are with the Laboratory of Epidemiology and Biostatistics, Istituto Superiore di Sanità, Rome, Italy. Fabio Pannozzo is with Health Unit LT4, Latina, Italy. Anna Minoprio and Antonio Menditto are with the Laboratory of Clinical Biochemistry, Istituto Superiore di Sanità.
ORCID
Seccareccia, Fulvia
Venue
American Journal of Public Health
Publisher
American Public Health Association
Published
2001-08
Volume
91
Issue
8
Pages
1258-1263
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
DOI
10.2105/ajph.91.8.1258
PMC
PMC1446757
OpenAlex
W2147095760
Cited by
201
References
43
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 7 · 2021: 9 · 2020: 7 · 2019: 6 · 2018: 11 · 2017: 12 · 2016: 7 · 2015: 10 · 2014: 6 · 2013: 10 · 2012: 8
FWCI
3.90
Type
journal article
Language
en
Open access
Locations
  • American Journal of Public Health (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Istituto Superiore di Sanità
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart rate and cardiovascular health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
heart rate, mortality prediction, all-cause mortality, cardiovascular mortality, non-cardiovascular mortality, middle-aged men, cardiovascular risk factors, Italian population
MeSH terms
Adult, Aged, Blood Glucose, Cardiovascular Diseases, Cause of Death, Forced Expiratory Flow Rates, Heart Rate, Humans, Hypertension, Italy, Male, Middle Aged, Mortality, Pilot Projects, Risk Factors, Smoking, Tachycardia, Body Mass Index, Proportional Hazards Models, Diabetes Complications

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