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Marzieh Katibeh

Other affiliations: University of Melbourne
Bio: Marzieh Katibeh is an academic researcher from Shahid Beheshti University. The author has contributed to research in topics: Medicine & Years of potential life lost. The author has an hindex of 4, co-authored 4 publications receiving 5025 citations. Previous affiliations of Marzieh Katibeh include University of Melbourne.

Papers
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Journal ArticleDOI
Haidong Wang1, Mohsen Naghavi1, Christine Allen1, Ryan M Barber1  +841 moreInstitutions (293)
TL;DR: The Global Burden of Disease 2015 Study provides a comprehensive assessment of all-cause and cause-specific mortality for 249 causes in 195 countries and territories from 1980 to 2015, finding several countries in sub-Saharan Africa had very large gains in life expectancy, rebounding from an era of exceedingly high loss of life due to HIV/AIDS.

4,804 citations

Journal ArticleDOI
Nicholas J Kassebaum1, Megha Arora1, Ryan M Barber1, Zulfiqar A Bhutta2  +679 moreInstitutions (268)
TL;DR: In this paper, the authors used the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive HALE and DALYs by sex for 195 countries and territories from 1990 to 2015.

1,533 citations

Journal ArticleDOI
Sare Safi, Hamid Ahmadieh1, Marzieh Katibeh2, Mehdi Yaseri, Alireza Ramezani, Saeid Shahraz, Maziar Moradi-Lakeh, Ibrahim A Khalil, Charbel El Bcheraoui, Michael Collison, Adrienne Chew, Farah Daoud, Kristopher J Krohn, Zane Rankin, Ashkan Afshin, Nicholas J Kassebaum, Helen E Olsen, Jeffrey D. Stanaway, Haidong Wang, Katie Wilson, Gebre Yitayih Abyu, Ayman Al-Eyadhy, Khurshid Alam2, Deena Alasfoor, Reza Alizadeh-Navaei, Rajaa Al-Raddadi, Ubai Alsharif, Khalid A Altirkawi, Nahla Anber, Hossein Ansari, Palwasha Anwari, Hamid Asayesh, Solomon Weldegebreal Asgedom, Tesfay Mehari Atey, Umar Bacha, Aleksandra Barac, Neeraj Bedi, Zahid A Butt, Abdulaal A Chitheer, Shirin Djalalinia, Huyen Do Phuc, Babak Eshrati, Maryam S. Farvid, Farshad Farzadfar, Seyed-Mohammad Fereshtehnejad, Florian Fischer, Tsegaye Tewelde Gebrehiwot, Randah R. Hamadeh, Samer Hamidi, Tarig B. Higazi, Mohamed Hsairi, Aida Jimenez-Corona, Denny John, Jost B. Jonas, Amir Kasaeian, Yousef Khader, Ejaz Ahmad Khan, Heidi J. Larson, Asma Abdul Latif, Raimundas Lunevicius, Hassan Magdy Abd El Razek, Mohammed Magdy Abd El Razek, Azeem Majeed, Reza Malekzadeh, Colm McAlinden, Ziad A. Memish, Ted R. Miller, Seyed-Farzad Mohammadi, Vinay Nangia, Cuong Tat Nguyen, Quyen Nguyen, Felix Akpojene Ogbo, Farshad Pourmalek, Mostafa Qorbani, Anwar Rafay, Vafa Rahimi-Movaghar, Rajesh Kumar Rai, Saleem M Rana, David Laith Rawaf, Salman Rawaf, Andre M. N. Renzaho, Satar Rezaei, Gholamreza Roshandel, Mahdi Safdarian, Saeid Safiri, Payman Salamati, Abdallah M. Samy, Benn Sartorius, Sadaf G. Sepanlou, Masood Ali Shaikh, Eirini Skiadaresi, Badr Hasan Sobaih, Rizwan Suliankatchi Abdulkader, Hugh R. Taylor, Arash Tehrani-Banihashemi, Mohamad-Hani Temsah, Roman Topor-Madry, Bach Xuan Tran, Miltiadis K. Tsilimbaris, Kingsley N. Ukwaja, Olalekan A. Uthman, Tolassa Wakayo, Naohiro Yonemoto, Mustafa Z. Younis, Maysaa El Sayed Zaki, Aisha O. Jumaan, Theo Vos, Simon I. Hay, Mohsen Naghavi, Christopher J L Murray, Ali H. Mokdad1 
TL;DR: The burden of VL is high in the EMR; however, it shows a descending trend over the past 25 years and EMR countries need to establish comprehensive eye care programs in their health care systems.
Abstract: To report the estimated trend in prevalence and years lived with disability (YLDs) due to vision loss (VL) in the Eastern Mediterranean region (EMR) from 1990 to 2015. The estimated trends in age-standardized prevalence and the YLDs rate due to VL in 22 EMR countries were extracted from the Global Burden of Disease (GBD) 2015 study. The association of Socio-demographic Index (SDI) with changes in prevalence and YLDs of VL was evaluated using a multilevel mixed model. The age-standardized prevalence of VL in the EMR was 18.2 in 1990 and 15.5 in 2015. The total age-standardized YLDs rate attributed to all-cause VL in EMR was 536.9 per 100,000 population in 1990 and 482.3 per 100,000 population in 2015. For each 0.1 unit increase in SDI, the age-standardized prevalence and YLDs rate of VL showed a reduction of 1.5 (p < 0.001) and 23.9 per 100,000 population (p < 0.001), respectively. The burden of VL is high in the EMR; however, it shows a descending trend over the past 25 years. EMR countries need to establish comprehensive eye care programs in their health care systems.

25 citations

Journal ArticleDOI
TL;DR: To determine the distribution of intraocular pressure, central corneal thickness (CCT) and vertical cup‐to‐disc ratio (VCDR) in the healthy Iranian population, a population-based method was used.
Abstract: Purpose To determine the distribution of intraocular pressure (IOP), central corneal thickness (CCT) and vertical cup-to-disc ratio (VCDR) in the healthy Iranian population. Methods This population-based, epidemiologic study evaluated Iranian aged 40–80 years, residing in Yazd, Iran, in 2010–2011. Eligible subjects were selected by cluster random sampling. Each participant underwent an interview and ophthalmologic examination including slit lamp examination, Goldmann applanation tonometry, binocular optic disc evaluation, stereoscopic fundus photography, ultrasonic pachymetry and visual field testing. Results Of 2320 eligible individuals, 2098 subjects (response rate of 90.4%) participated in the study. One eye from 1159 subjects (total of 2262 normal eyes) were randomly selected for the purpose of the study. Mean age was 53.1 ± 9.6 years. Mean IOP, CCT and VCDR were 14.2 ± 2.5 mmHg, 543 ± 37 μm and 0.32 ± 0.14, respectively. Multiple regression analysis showed a significant correlation between IOP and age (regression coefficient = 0.02 per year, p = 0.015), CCT (regression coefficient = 0.02 per micron, p < 0.001), Spherical equivalent (regression coefficient = −0.15 per dioptre, p = 0.0.024) and smoking (regression coefficient = 0.89 higher for smokers, p = 0.009); it also showed a significant correlation between CCT with spherical equivalent (regression coefficient = 3.6 per dioptre, p = 0.002) and IOP (regression coefficient = 3.6 per mmHG, p < 0.001). There was no significant correlation with VCDR. Conclusions Mean IOP, CCT and VCDR were 14.2 ± 2.5 mmHg, 543 ± 35 μm and 0.32 ± 0.14, respectively, in healthy Iranians that is different from other ethnicities. It seems advisable to pay attention to ethnicity for interpretation of each person's variables.

17 citations

Journal ArticleDOI
TL;DR: The 2018 Grand Challenge in Global Eye Health as mentioned in this paper identified the key issues that must be addressed to improve eye health in the context of an ageing population, to eliminate persistent inequities in health-care access, and to mitigate widespread resource limitations.

17 citations


Cited by
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Journal ArticleDOI
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.

10,401 citations

Journal ArticleDOI
TL;DR: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee.
Abstract: March 5, 2019 e1 WRITING GROUP MEMBERS Emelia J. Benjamin, MD, ScM, FAHA, Chair Paul Muntner, PhD, MHS, FAHA, Vice Chair Alvaro Alonso, MD, PhD, FAHA Marcio S. Bittencourt, MD, PhD, MPH Clifton W. Callaway, MD, FAHA April P. Carson, PhD, MSPH, FAHA Alanna M. Chamberlain, PhD Alexander R. Chang, MD, MS Susan Cheng, MD, MMSc, MPH, FAHA Sandeep R. Das, MD, MPH, MBA, FAHA Francesca N. Delling, MD, MPH Luc Djousse, MD, ScD, MPH Mitchell S.V. Elkind, MD, MS, FAHA Jane F. Ferguson, PhD, FAHA Myriam Fornage, PhD, FAHA Lori Chaffin Jordan, MD, PhD, FAHA Sadiya S. Khan, MD, MSc Brett M. Kissela, MD, MS Kristen L. Knutson, PhD Tak W. Kwan, MD, FAHA Daniel T. Lackland, DrPH, FAHA Tené T. Lewis, PhD Judith H. Lichtman, PhD, MPH, FAHA Chris T. Longenecker, MD Matthew Shane Loop, PhD Pamela L. Lutsey, PhD, MPH, FAHA Seth S. Martin, MD, MHS, FAHA Kunihiro Matsushita, MD, PhD, FAHA Andrew E. Moran, MD, MPH, FAHA Michael E. Mussolino, PhD, FAHA Martin O’Flaherty, MD, MSc, PhD Ambarish Pandey, MD, MSCS Amanda M. Perak, MD, MS Wayne D. Rosamond, PhD, MS, FAHA Gregory A. Roth, MD, MPH, FAHA Uchechukwu K.A. Sampson, MD, MBA, MPH, FAHA Gary M. Satou, MD, FAHA Emily B. Schroeder, MD, PhD, FAHA Svati H. Shah, MD, MHS, FAHA Nicole L. Spartano, PhD Andrew Stokes, PhD David L. Tirschwell, MD, MS, MSc, FAHA Connie W. Tsao, MD, MPH, Vice Chair Elect Mintu P. Turakhia, MD, MAS, FAHA Lisa B. VanWagner, MD, MSc, FAST John T. Wilkins, MD, MS, FAHA Sally S. Wong, PhD, RD, CDN, FAHA Salim S. Virani, MD, PhD, FAHA, Chair Elect On behalf of the American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee

5,739 citations

Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.

5,668 citations

Journal ArticleDOI
TL;DR: The Statistical Update represents the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA's My Life Check - Life’s Simple 7, which include core health behaviors and health factors that contribute to cardiovascular health.
Abstract: Each chapter listed in the Table of Contents (see next page) is a hyperlink to that chapter. The reader clicks the chapter name to access that chapter. Each chapter listed here is a hyperlink. Click on the chapter name to be taken to that chapter. Each year, the American Heart Association (AHA), in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together in a single document the most up-to-date statistics related to heart disease, stroke, and the cardiovascular risk factors listed in the AHA’s My Life Check - Life’s Simple 7 (Figure1), which include core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure [BP], and glucose control) that contribute to cardiovascular health. The Statistical Update represents …

5,102 citations

Journal ArticleDOI
TL;DR: This year's edition of the Statistical Update includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association’s 2020 Impact Goals.
Abstract: Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovas...

5,078 citations