Publications by authors named "S Akbarpour"

Given the surge in mpox outbreaks in 2022 and the advancements in domestic and international vaccine research, the effectiveness of smallpox vaccines in providing cross-protection against mpox remains crucial. Having learned from the COVID-19 pandemic, it is significant to continue evaluating existing vaccines to ensure their safety and efficacy. Developing new vaccines for widespread use against mpox and its emerging strains also serves as a preventive strategy in the ongoing battle against this dynamic infection.

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Background: The coexistence of obesity and hypertension (HTN) is a global health concern due to its association with various health abnormalities. This study targeted the association between uncontrolled HTN-defined according to the JNC8 guidelines- and different obesity patterns (general and abdominal) among adult hypertensive individuals.

Methods: Data for the present investigation were obtained from the 2021 STEPwise Approach to NCD Risk Factor Surveillance (STEPS) national survey in Iran.

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The sexual health of female sex workers is of particular concern due to severe complications arising from multiple and unprotected sexual relationships. This qualitative study, the initial study conducted in Iran, explored the sexual health needs, barriers, and facilitators to accessing sexual health services among women at high risk of STIs in Arak. In this qualitative research study, we used a content analysis design.

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  • The study compared the effectiveness of the No-apnea questionnaire (NAQ) and the STOP-BANG questionnaire (SBQ) in screening for obstructive sleep apnea (OSA) among commercial drivers.
  • In a sample of 581 drivers, the NAQ identified a significantly higher percentage (65.7%) as high risk for OSA compared to the SBQ (17.7%).
  • The results showed poor correlation between the two screening tools, indicating that they yield different diagnostics outcomes for assessing OSA risk.
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  • This study evaluates four non-laboratory risk-score models for detecting undiagnosed type 2 diabetes mellitus (T2DM) among the population surrounding Tehran University of Medical Sciences, aiming to provide crucial data for healthcare initiatives.
  • The AUSDRISK model outperformed the others in identifying diabetes risk, demonstrating a strong ability to discriminate and calibrate estimates accurately, aligning closely with observed prevalence rates from previous surveys.
  • Ultimately, the research estimates that about 4.18% of the population is undiagnosed and 11.1% have T2DM, highlighting the importance of these models in addressing diabetes detection in the region.
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