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Saeid Safiri

Researcher at Tabriz University of Medical Sciences

Publications -  388
Citations -  49522

Saeid Safiri is an academic researcher from Tabriz University of Medical Sciences. The author has contributed to research in topics: Population & Mortality rate. The author has an hindex of 40, co-authored 376 publications receiving 32616 citations. Previous affiliations of Saeid Safiri include Shahid Beheshti University of Medical Sciences and Health Services & University of Tabriz.

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Journal ArticleDOI

Asthma and metabolic syndrome: a comprehensive systematic review and meta-analysis of observational studies.

Nahid Karamzad, +7 more
- 31 May 2020 - 
TL;DR: More original studies among different populations are needed in order to more accurately examine the association between asthma and MetS, as well as the relationship asthma has with the individual components of MetS.
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Differing predictive relationships between baseline LDL-C, systolic blood pressure, and cardiovascular outcomes: Methodological issues.

Saeid Safiri, +5 more
- 15 Feb 2017 - 
Journal ArticleDOI

Association of birth weight with abdominal obesity and weight disorders in children and adolescents: the weight disorder survey of the CASPIAN-IV Study.

Hossein Ansari, +11 more
- 21 Aug 2017 - 
TL;DR: In this article, the association of birth weight with weight disorders in a national sample of Iranian pediatric population was evaluated by using multivariate logistic regression and showed that LBW increased odds of underweight (OR [odds ratio]: 1.61; 95% CI: 1.37, 1.89) and students with HBW had decreased odds of overweight (OR: 0.58, 0.93) compared to students with NBW.
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The predictive value of plasma catestatin for all-cause and cardiac deaths in chronic heart failure patients: Methodological issues.

Ahad Ashrafi-Asgarabad, +3 more
- 07 Feb 2017 - 
Journal ArticleDOI

Sensitivity of crosswise model to simplistic selection of nonsensitive questions: an application to estimate substance use, alcohol consumption and extramarital sex among Iranian college students

Saeid Safiri, +6 more
- 01 Jan 2019 - 
TL;DR: Estimates from crosswise model is highly sensitive to the response probability of nonsensitive questions, and if this question is not selected carefully, the mentioned models will provide overestimates or underestimates, and the more-is-better hypothesis is not always valid.