Results 11 to 20 of about 81,464 (250)

Estimating Attributable Mortality of Modifying Selected Risk Factors of Myocardial Infarction [PDF]

open access: yesNovelty in Clinical Medicine, 2022
Background: Cardiovascular diseases are the leading cause of death due to non-communicable diseases and myocardial infarction (MI) is one of the most common causes of death due to cardiovascular diseases worldwide.Objectives: The aim of this study was to
Taher Ahangari   +2 more
doaj   +1 more source

Pathway-specific population attributable fractions [PDF]

open access: yesInternational Journal of Epidemiology, 2020
Abstract A population attributable fraction (PAF) represents the relative change in disease prevalence that one might expect if a particular exposure was absent from the population. Often, one might be interested in what percentage of this effect acts through particular pathways.
O'Connell, Maurice; id_orcid 0000-0001-9658-495X   +1 more
openaire   +3 more sources

Quantifying the Sex‐Race/Ethnicity‐Specific Burden of Obesity on Incident Diabetes Mellitus in the United States, 2001 to 2016: MESA and NHANES

open access: yesJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2021
Background Given the increasing prevalence of diabetes mellitus (DM) in the United States, estimating the effects of population‐level increases in obesity on incident DM has substantial implications for public health policy.
Natalie A. Cameron   +6 more
doaj   +1 more source

Population attributable fraction [PDF]

open access: yesBMJ, 2018
Much statistical analysis seeks to identify associations between exposures and outcomes. The population attributable fraction (PAF) is an epidemiologic measure widely used to assess the public health impact of exposures in populations. PAF is defined as the fraction of all cases of a particular disease or other adverse condition in a population that is
Mansournia, M, Altman, D
openaire   +2 more sources

Population attributable fractions for continuously distributed exposures [PDF]

open access: yesEpidemiologic Methods, 2020
Abstract When estimating population attributable fractions (PAF), it is common to partition a naturally continuous exposure into a categorical risk factor. While prior risk factor categorization can help estimation and interpretation, it can result in underestimation of the disease burden attributable to the exposure as well as biased
John Ferguson   +3 more
openaire   +3 more sources

Province-specific smoking-attributable cancer mortality in China 2013

open access: yesTobacco Induced Diseases, 2020
Introduction Province-specific initiatives are at the forefront of tobacco control but limited studies have provided province-specific assessment of smoking-attributable cancer burden in China.
Linjie Yu   +3 more
doaj   +1 more source

Contribution of socioeconomic, lifestyle, and medical risk factors to disparities in dementia and mortality

open access: yesSSM: Population Health, 2021
Extensive literature in the United States documents racial/ethnic and gender disparities in the incidence and prevalence of dementia yet few studies have examined how race/ethnicity and gender intersect to shape inequalities in the risk of dementia ...
Jordan Weiss
doaj   +1 more source

Defining the population attributable fraction for infectious diseases [PDF]

open access: yesInternational Journal of Epidemiology, 2017
The population attributable fraction (PAF) is used to quantify the contribution of a risk group to disease burden. For infectious diseases, high-risk individuals may increase disease risk for the wider population in addition to themselves; therefore methods are required to estimate the PAF for infectious diseases.A mathematical model of disease ...
Brooks Pollock, Ellen, Danon, Leon
openaire   +4 more sources

The population-attributable fraction for time-to-event data

open access: yesInternational Journal of Epidemiology, 2022
Abstract Background Even though the population-attributable fraction (PAF) is a well-established metric, it is often incorrectly estimated or interpreted not only in clinical application, but also in statistical research articles.
Maja von Cube   +4 more
openaire   +4 more sources

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