Publications by authors named "F Malekzadeh"

Article Synopsis
  • A study assessed the prevalence of nonalcoholic steatohepatitis (NASH) among Iranian adults aged 40-75 using data from the Pars Cohort Study.
  • The results indicated that 6.9% of participants had NASH, with male gender, younger age, and various health and socioeconomic factors linked to a higher risk.
  • Key risk factors included histories of heart disease and diabetes, obesity, hypertension, and being in wealthier socioeconomic groups.
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Article Synopsis
  • Premature mortality, defined as death before age 70, is a significant health concern in North Africa and the Middle East, with key causes including ischemic heart disease, stroke, and road injuries.
  • The Pars Cohort Study in Iran, involving over 9,200 participants aged 40-75, analyzed risk factors and causes of premature death over a nine-year period through various data collection methods.
  • The findings revealed that 54% of deaths were premature, mainly due to ischemic heart disease, with several predictive factors for premature mortality identified, including age, tobacco use, and socioeconomic status, while factors like female sex and higher education showed protective effects.
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This study aimed to evaluate the superiority of anthropometric indices compared to others for predicting ischemic heart disease (IHD) or cardiometabolic risk factors. This study was a cross-sectional analysis of the Pars Cohort Study data. In total, 9229 Valashahr inhabitants aged 40-75 were included in the analysis.

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Polypharmacy, defined here as the concomitant use of five or more medications, is a significant health issue, particularly affecting individuals with chronic diseases like hypertension (HTN). To compare individuals with and without HTN in term of polypharmacy, and to investigate correlates of polypharmacy and medication use patterns in individuals with HTN in southwest Iran. This cross-sectional study used the baseline data of 9270 participants of the Pars Cohort Study (PCS) with a mean age of 52.

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Background: Drug data has been used to estimate the prevalence of chronic diseases. Disease registries and annual surveys are lacking, especially in less-developed regions. At the same time, insurance drug data and self-reports of medications are easily accessible and inexpensive.

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