Evidence map›Paper›PMID 25450016›Full record

ArticleAmerican journal of preventive medicine2015

Predicted 10-year risk of developing cardiovascular disease at the state level in the U.S.

Quanhe Yang, Yuna Zhong, Matthew Ritchey, Fleetwood Loustalot, Yuling Hong, Robert Merritt, Barbara A Bowman

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  4. 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 · 2024
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  7. Predicted Heart Age Among Cancer Survivors - United States, 2013-2017.MMWR. Morbidity and mortality weekly report · 2021
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Quanhe YangDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia. Electronic address: qay0@cdc.gov.
Yuna ZhongDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia.
Matthew RitcheyDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia.
Fleetwood LoustalotDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia.
Yuling HongDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia.
Robert MerrittDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia.
Barbara A BowmanDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading cause of death in the U.S. State-specific predicted 10-year risk of developing CVD could provide useful information for state health planning and policy. PURPOSE: To estimate state-specific 10-year risk of developing CVD.

methodsUsing the updated non-laboratory-based Framingham CVD Risk Score (RS), this study estimated 10-year risk of developing CVD; coronary heart disease (CHD); and stroke, stratified by demographic factors and by state among 2009 Behavioral Risk Factors Surveillance System participants aged 30-74 years. Data analysis was completed in June 2014.

resultsThe age-standardized mean CVD, CHD, and stroke RSs for adults aged 30-74 years were 14.6%, 10.4%, and 2.3% among men, respectively, and 7.5%, 4.5%, and 1.8% among women. RSs increased significantly with age and were highest among non-Hispanic blacks, those with less than high school education, and households with incomes <$35,000. State-specific age-standardized CVD, CHD, and stroke RS ranged, among men, from lows in Utah (13.2%, 9.6%, and 2.1%, respectively) to highs in Louisiana (16.2%, 11.7%, and 2.6%), and among women, from lows in Minnesota (6.3%, 3.8%, and 1.5%) to highs in Mississippi (8.7%, 5.3%, and 2.1%).

conclusionsThe predicted 10-year risk of developing CVD varies significantly by age, gender, race/ethnicity, educational attainment, household income, and state of residence. These results support the development and implementation of targeted prevention programs by states to address the risk of developing CVD, CHD, and stroke among their populations.

Indexed as

Behavioral Risk Factor Surveillance SystemAdultAgedAge DistributionCardiovascular DiseasesCoronary DiseaseFemaleForecastingGeographyHumansHypertensionIncomeMaleMiddle AgedMinority GroupsObesity

Identifiers

PMID25450016
PMCPMC10910565

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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.