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Manouchehr Nakhjavani

Biographic Data

ID7186239
NAMEManouchehr Nakhjavani
GIVEN NAMESManouchehr
FAMILY NAMENakhjavani
SIGNATURENAKHJAVANI M
AFFILIATIONSTehran University of Medical Sciences
ORCID0000-0002-9744-2328
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Serum lipoprotein(a) and reclassification of coronary heart disease risk; application of prediction in a cross-sectional analysis of an ongoing Iranian cohort

    Open Access•Mojgan Ghavami, Alireza Abdshah et al.•ARTICLE•BMC Public Health•2023

    The study concluded that adding Lp(a) to the FRS model improves CHD risk prediction in an Iranian population without making the model too complex. This could help clinicians to better identify individuals who are at risk of developing CHD and to implement appropriate preventive measures

  • Waist-To-Height Ratio Is a More Accurate Tool for Predicting Hypertension Than Waist-To-Hip Circumference and BMI in Patients With Type 2 Diabetes

    Open Access•Fatemeh Moosaie, Seyede Marzie Fatemi Abhari et al.•ARTICLE•Frontiers in Public Health•2021

    Background: Anthropometric measures [i.e., body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] have been used as prediction factors for incident hypertension. However, whether any of these measures is superior to another in the matter of accuracy in predicting hypertension in diabetic patients has been controversial. The present prospective study aimed to determine whether WHtR is a more accurate tool for predicting…

  • Revising the fasting glucose threshold for detection of cardiovascular risk factors

    Open Access•Alireza Esteghamati, Ali Zandieh et al.•ARTICLE•Annals of Human Biology•2014

    IFG and even lower levels of FPG are associated with high prevalence of cardiovascular risk factors in Iranian adults. This study suggests the FPG cut-off to be revised at 90 mg/dL to identify people with increased cardiovascular risk

  • Attention and Connected Speech in a Stroke Population

    Open Access•Breanne Young, Ali Zandieh et al.•ARTICLE•Annals of Human Biology•2012

    In men the appropriate BMI cut-offs are ~25 kg/m(2), while in women higher BMI values are associated with risk of cardiovascular diseases

No prominent works on this page.

  • Attention and Connected Speech in a Stroke Population

    Open Access•Breanne Young, Ali Zandieh et al.•ARTICLE•Annals of Human Biology•2012

    In men the appropriate BMI cut-offs are ~25 kg/m(2), while in women higher BMI values are associated with risk of cardiovascular diseases

  • Revising the fasting glucose threshold for detection of cardiovascular risk factors

    Open Access•Alireza Esteghamati, Ali Zandieh et al.•ARTICLE•Annals of Human Biology•2014

    IFG and even lower levels of FPG are associated with high prevalence of cardiovascular risk factors in Iranian adults. This study suggests the FPG cut-off to be revised at 90 mg/dL to identify people with increased cardiovascular risk

  • Waist-To-Height Ratio Is a More Accurate Tool for Predicting Hypertension Than Waist-To-Hip Circumference and BMI in Patients With Type 2 Diabetes

    Open Access•Fatemeh Moosaie, Seyede Marzie Fatemi Abhari et al.•ARTICLE•Frontiers in Public Health•2021

    Background: Anthropometric measures [i.e., body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR)] have been used as prediction factors for incident hypertension. However, whether any of these measures is superior to another in the matter of accuracy in predicting hypertension in diabetic patients has been controversial. The present prospective study aimed to determine whether WHtR is a more accurate tool for predicting…

  • Serum lipoprotein(a) and reclassification of coronary heart disease risk; application of prediction in a cross-sectional analysis of an ongoing Iranian cohort

    Open Access•Mojgan Ghavami, Alireza Abdshah et al.•ARTICLE•BMC Public Health•2023

    The study concluded that adding Lp(a) to the FRS model improves CHD risk prediction in an Iranian population without making the model too complex. This could help clinicians to better identify individuals who are at risk of developing CHD and to implement appropriate preventive measures

Population (4 works) · Diabetes, Cardiovascular Risks, and Lipoproteins (3 works) · Internal Medicine (3 works) · Medicine (3 works) · Diabetes mellitus (2 works) · Endocrinology (2 works) · Environmental health (2 works) · Risk factor (2 works) · Akaike information criterion (1 work) · Anthropometry (1 work)

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