2020
DOI: 10.2147/rmhp.s265887
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<p>Estimation of Generalized Impact Fraction and Population Attributable Fraction of Hypertension Based on JNC-IV and 2017 ACC/AHA Guidelines for Cardiovascular Diseases Using Parametric G-Formula: Tehran Lipid and Glucose Study (TLGS)</p>

Abstract: An area of interest to health policymakers is the effect of interventions aimed at risk factors on decreasing the number of new cardiovascular disease (CVD) cases. The aim of this study was to estimate the generalized impact fraction (GIF) and population attributable fraction (PAF) of hypertension (HTN) for CVD in Tehran. Patients and Methods: In this population-based cohort study, 8071 participants aged ≥30 years were followed for a median of 16 years. A survival model was used to estimate the 10-and 18-year … Show more

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Cited by 4 publications
(2 citation statements)
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“…Strikingly, it has been reported that a 10 mmHg lower SBP is associated with a 30–40% lower risk of stroke [32]. In addition, based on the 2017 ACC/AHA guideline, by a 30% reduction in the prevalence of hypertension, 6.1% of CVD cases could be prevented [33]. Also, in 2016, the approximate rate of Iranian participants who were aware of their hypertension were estimated at 37.1% regarding the 2017 ACC/AHA guidelines [24].…”
Section: Discussionmentioning
confidence: 99%
“…Strikingly, it has been reported that a 10 mmHg lower SBP is associated with a 30–40% lower risk of stroke [32]. In addition, based on the 2017 ACC/AHA guideline, by a 30% reduction in the prevalence of hypertension, 6.1% of CVD cases could be prevented [33]. Also, in 2016, the approximate rate of Iranian participants who were aware of their hypertension were estimated at 37.1% regarding the 2017 ACC/AHA guidelines [24].…”
Section: Discussionmentioning
confidence: 99%
“…The potential impact fraction (PIF), also called the generalized impact fraction (GIF), is another measure that allows to estimate the fractional reduction of cases that would occur from changing the current level of exposure in the population to some modi ed level (14). The PAF and the generalized impact fraction (GIF), both affected by the strength of the association between the disease and the risk factor as well as the prevalence of the risk factor, estimate the disease risk in the population in case of "complete withdrawal" and "partial reduction" of the exposure (15,16). The application of the traditional PAF or GIF for policymaking in this context is strongly limited by the rigors of complete elimination of the risk factor as well as the disadvantages of traditional methods based on standard regression models (7,17).…”
mentioning
confidence: 99%