Publications by authors named "Ibrahim Abdollahpour"

35 Publications

Model Prediction for In-Hospital Mortality in Patients with COVID-19: A Case-Control Study in Isfahan, Iran.

Am J Trop Med Hyg 2021 Feb 16. Epub 2021 Feb 16.

5Applied Physiology Research Center, Isfahan Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran.

The COVID-19 pandemic has now imposed an enormous global burden as well as a large mortality in a short time period. Although there is no promising treatment, identification of early predictors of in-hospital mortality would be critically important in reducing its worldwide mortality. We aimed to suggest a prediction model for in-hospital mortality of COVID-19. In this case-control study, we recruited 513 confirmed patients with COVID-19 from February 18 to March 26, 2020 from Isfahan COVID-19 registry. Based on extracted laboratory, clinical, and demographic data, we created an in-hospital mortality predictive model using gradient boosting. We also determined the diagnostic performance of the proposed model including sensitivity, specificity, and area under the curve (AUC) as well as their 95% CIs. Of 513 patients, there were 60 (11.7%) in-hospital deaths during the study period. The diagnostic values of the suggested model based on the gradient boosting method with oversampling techniques using all of the original data were specificity of 98.5% (95% CI: 96.8-99.4), sensitivity of 100% (95% CI: 94-100), negative predictive value of 100% (95% CI: 99.2-100), positive predictive value of 89.6% (95% CI: 79.7-95.7), and an AUC of 98.6%. The suggested model may be useful in making decision to patient's hospitalization where the probability of mortality may be more obvious based on the final variable. However, moderate gaps in our knowledge of the predictors of in-hospital mortality suggest further studies aiming at predicting models for in-hospital mortality in patients with COVID-19.
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http://dx.doi.org/10.4269/ajtmh.20-1039DOI Listing
February 2021

Estimating the Marginal Causal Effect and Potential Impact of Waterpipe Smoking on Multiple Sclerosis Using Targeted Maximum Likelihood Estimation Method: a Large Population-Based Incident Case-Control Study.

Am J Epidemiol 2021 Feb 12. Epub 2021 Feb 12.

Instituto de Investigacion Biosanitaria de Granada, Ibs.GRANADA, Universidad de Granada, Granada, Spain.

There are few if any reports regarding the role of lifetime waterpipe smoking in multiple sclerosis (MS) etiology. The authors investigated the association between waterpipe and MS, adjusted for confounders. This was a population-based incident case-control study conducted in Tehran, Iran. Cases (n=547) were 15-50-year-old patients identified from the Iranian Multiple Sclerosis Society between 2013 and 2015. Population-based controls (n=1057) were 15-50-year old recruited by random digit telephone dialing. A double robust estimator method known as targeted maximum likelihood estimator (TMLE) was used to estimate the marginal risk ratio and odds ratio between waterpipe and MS. The both estimated RR and OR was 1.70 (95% CI: 1.34, 2.17). The population attributable fraction was 21.4% (95% CI: 4.0%, 38.8%). Subject to the limitations of case-control studies in interpreting associations causally, this study suggests that waterpipe use, or its strongly related but undetermined factors, increases the risk of MS. Further epidemiological studies including nested case-control studies are needed to confirm these results.
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http://dx.doi.org/10.1093/aje/kwab036DOI Listing
February 2021

Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study.

Authors:
Spencer L James Chris D Castle Zachary V Dingels Jack T Fox Erin B Hamilton Zichen Liu Nicholas L S Roberts Dillon O Sylte Gregory J Bertolacci Matthew Cunningham Nathaniel J Henry Kate E LeGrand Ahmed Abdelalim Ibrahim Abdollahpour Rizwan Suliankatchi Abdulkader Aidin Abedi Kedir Hussein Abegaz Akine Eshete Abosetugn Abdelrahman I Abushouk Oladimeji M Adebayo Jose C Adsuar Shailesh M Advani Marcela Agudelo-Botero Tauseef Ahmad Muktar Beshir Ahmed Rushdia Ahmed Miloud Taki Eddine Aichour Fares Alahdab Fahad Mashhour Alanezi Niguse Meles Alema Biresaw Wassihun Alemu Suliman A Alghnam Beriwan Abdulqadir Ali Saqib Ali Cyrus Alinia Vahid Alipour Syed Mohamed Aljunid Amir Almasi-Hashiani Nihad A Almasri Khalid Altirkawi Yasser Sami Abdeldayem Amer Catalina Liliana Andrei Alireza Ansari-Moghaddam Carl Abelardo T Antonio Davood Anvari Seth Christopher Yaw Appiah Jalal Arabloo Morteza Arab-Zozani Zohreh Arefi Olatunde Aremu Filippo Ariani Amit Arora Malke Asaad Beatriz Paulina Ayala Quintanilla Getinet Ayano Martin Amogre Ayanore Ghasem Azarian Alaa Badawi Ashish D Badiye Atif Amin Baig Mohan Bairwa Ahad Bakhtiari Arun Balachandran Maciej Banach Srikanta K Banerjee Palash Chandra Banik Amrit Banstola Suzanne Lyn Barker-Collo Till Winfried Bärnighausen Akbar Barzegar Mohsen Bayati Shahrzad Bazargan-Hejazi Neeraj Bedi Masoud Behzadifar Habte Belete Derrick A Bennett Isabela M Bensenor Kidanemaryam Berhe Akshaya Srikanth Bhagavathula Pankaj Bhardwaj Anusha Ganapati Bhat Krittika Bhattacharyya Zulfiqar A Bhutta Sadia Bibi Ali Bijani Archith Boloor Guilherme Borges Rohan Borschmann Antonio Maria Borzì Soufiane Boufous Dejana Braithwaite Nikolay Ivanovich Briko Traolach Brugha Shyam S Budhathoki Josip Car Rosario Cárdenas Félix Carvalho João Mauricio Castaldelli-Maia Carlos A Castañeda-Orjuela Giulio Castelpietra Ferrán Catalá-López Ester Cerin Joht S Chandan Jens Robert Chapman Vijay Kumar Chattu Soosanna Kumary Chattu Irini Chatziralli Neha Chaudhary Daniel Youngwhan Cho Jee-Young J Choi Mohiuddin Ahsanul Kabir Chowdhury Devasahayam J Christopher Dinh-Toi Chu Flavia M Cicuttini João M Coelho Vera M Costa Saad M A Dahlawi Ahmad Daryani Claudio Alberto Dávila-Cervantes Diego De Leo Feleke Mekonnen Demeke Gebre Teklemariam Demoz Desalegn Getnet Demsie Kebede Deribe Rupak Desai Mostafa Dianati Nasab Diana Dias da Silva Zahra Sadat Dibaji Forooshani Hoa Thi Do Kerrie E Doyle Tim Robert Driscoll Eleonora Dubljanin Bereket Duko Adema Arielle Wilder Eagan Demelash Abewa Elemineh Shaimaa I El-Jaafary Ziad El-Khatib Christian Lycke Ellingsen Maysaa El Sayed Zaki Sharareh Eskandarieh Oghenowede Eyawo Pawan Sirwan Faris Andre Faro Farshad Farzadfar Seyed-Mohammad Fereshtehnejad Eduarda Fernandes Pietro Ferrara Florian Fischer Morenike Oluwatoyin Folayan Artem Alekseevich Fomenkov Masoud Foroutan Joel Msafiri Francis Richard Charles Franklin Takeshi Fukumoto Biniyam Sahiledengle Geberemariyam Hadush Gebremariam Ketema Bizuwork Gebremedhin Leake G Gebremeskel Gebreamlak Gebremedhn Gebremeskel Berhe Gebremichael Getnet Azeze Gedefaw Birhanu Geta Agegnehu Bante Getenet Mansour Ghafourifard Farhad Ghamari Reza Ghanei Gheshlagh Asadollah Gholamian Syed Amir Gilani Tiffany K Gill Amir Hossein Goudarzian Alessandra C Goulart Ayman Grada Michal Grivna Rafael Alves Guimarães Yuming Guo Gaurav Gupta Juanita A Haagsma Brian James Hall Randah R Hamadeh Samer Hamidi Demelash Woldeyohannes Handiso Josep Maria Haro Amir Hasanzadeh Shoaib Hassan Soheil Hassanipour Hadi Hassankhani Hamid Yimam Hassen Rasmus Havmoeller Delia Hendrie Fatemeh Heydarpour Martha Híjar Hung Chak Ho Chi Linh Hoang Michael K Hole Ramesh Holla Naznin Hossain Mehdi Hosseinzadeh Sorin Hostiuc Guoqing Hu Segun Emmanuel Ibitoye Olayinka Stephen Ilesanmi Leeberk Raja Inbaraj Seyed Sina Naghibi Irvani M Mofizul Islam Sheikh Mohammed Shariful Islam Rebecca Q Ivers Mohammad Ali Jahani Mihajlo Jakovljevic Farzad Jalilian Sudha Jayaraman Achala Upendra Jayatilleke Ravi Prakash Jha Yetunde O John-Akinola Jost B Jonas Kelly M Jones Nitin Joseph Farahnaz Joukar Jacek Jerzy Jozwiak Suresh Banayya Jungari Mikk Jürisson Ali Kabir Amaha Kahsay Leila R Kalankesh Rohollah Kalhor Teshome Abegaz Kamil Tanuj Kanchan Neeti Kapoor Manoochehr Karami Amir Kasaeian Hagazi Gebremedhin Kassaye Taras Kavetskyy Gbenga A Kayode Peter Njenga Keiyoro Abraham Getachew Kelbore Yousef Saleh Khader Morteza Abdullatif Khafaie Nauman Khalid Ibrahim A Khalil Rovshan Khalilov Maseer Khan Ejaz Ahmad Khan Junaid Khan Tripti Khanna Salman Khazaei Habibolah Khazaie Roba Khundkar Daniel N Kiirithio Young-Eun Kim Yun Jin Kim Daniel Kim Sezer Kisa Adnan Kisa Hamidreza Komaki Shivakumar K M Kondlahalli Ali Koolivand Vladimir Andreevich Korshunov Ai Koyanagi Moritz U G Kraemer Kewal Krishan Barthelemy Kuate Defo Burcu Kucuk Bicer Nuworza Kugbey Nithin Kumar Manasi Kumar Vivek Kumar Narinder Kumar Girikumar Kumaresh Faris Hasan Lami Van C Lansingh Savita Lasrado Arman Latifi Paolo Lauriola Carlo La Vecchia Janet L Leasher Shaun Wen Huey Lee Shanshan Li Xuefeng Liu Alan D Lopez Paulo A Lotufo Ronan A Lyons Daiane Borges Machado Mohammed Madadin Muhammed Magdy Abd El Razek Narayan Bahadur Mahotra Marek Majdan Azeem Majeed Venkatesh Maled Deborah Carvalho Malta Navid Manafi Amir Manafi Ana-Laura Manda Narayana Manjunatha Fariborz Mansour-Ghanaei Mohammad Ali Mansournia Joemer C Maravilla Amanda J Mason-Jones Seyedeh Zahra Masoumi Benjamin Ballard Massenburg Pallab K Maulik Man Mohan Mehndiratta Zeleke Aschalew Melketsedik Peter T N Memiah Walter Mendoza Ritesh G Menezes Melkamu Merid Mengesha Tuomo J Meretoja Atte Meretoja Hayimro Edemealem Merie Tomislav Mestrovic Bartosz Miazgowski Tomasz Miazgowski Ted R Miller G K Mini Andreea Mirica Erkin M Mirrakhimov Mehdi Mirzaei-Alavijeh Prasanna Mithra Babak Moazen Masoud Moghadaszadeh Efat Mohamadi Yousef Mohammad Aso Mohammad Darwesh Abdollah Mohammadian-Hafshejani Reza Mohammadpourhodki Shafiu Mohammed Jemal Abdu Mohammed Farnam Mohebi Mohammad A Mohseni Bandpei Mariam Molokhia Lorenzo Monasta Yoshan Moodley Masoud Moradi Ghobad Moradi Maziar Moradi-Lakeh Rahmatollah Moradzadeh Lidia Morawska Ilais Moreno Velásquez Shane Douglas Morrison Tilahun Belete Mossie Atalay Goshu Muluneh Kamarul Imran Musa Ghulam Mustafa Mehdi Naderi Ahamarshan Jayaraman Nagarajan Gurudatta Naik Mukhammad David Naimzada Farid Najafi Vinay Nangia Bruno Ramos Nascimento Morteza Naserbakht Vinod Nayak Javad Nazari Duduzile Edith Ndwandwe Ionut Negoi Josephine W Ngunjiri Trang Huyen Nguyen Cuong Tat Nguyen Diep Ngoc Nguyen Huong Lan Thi Nguyen Rajan Nikbakhsh Dina Nur Anggraini Ningrum Chukwudi A Nnaji Richard Ofori-Asenso Felix Akpojene Ogbo Onome Bright Oghenetega In-Hwan Oh Andrew T Olagunju Tinuke O Olagunju Ahmed Omar Bali Obinna E Onwujekwe Heather M Orpana Erika Ota Nikita Otstavnov Stanislav S Otstavnov Mahesh P A Jagadish Rao Padubidri Smita Pakhale Keyvan Pakshir Songhomitra Panda-Jonas Eun-Kee Park Sangram Kishor Patel Ashish Pathak Sanghamitra Pati Kebreab Paulos Amy E Peden Veincent Christian Filipino Pepito Jeevan Pereira Michael R Phillips Roman V Polibin Suzanne Polinder Farshad Pourmalek Akram Pourshams Hossein Poustchi Swayam Prakash Dimas Ria Angga Pribadi Parul Puri Zahiruddin Quazi Syed Navid Rabiee Mohammad Rabiee Amir Radfar Anwar Rafay Ata Rafiee Alireza Rafiei Fakher Rahim Siavash Rahimi Muhammad Aziz Rahman Ali Rajabpour-Sanati Fatemeh Rajati Ivo Rakovac Sowmya J Rao Vahid Rashedi Prateek Rastogi Priya Rathi Salman Rawaf Lal Rawal Reza Rawassizadeh Vishnu Renjith Serge Resnikoff Aziz Rezapour Ana Isabel Ribeiro Jennifer Rickard Carlos Miguel Rios González Leonardo Roever Luca Ronfani Gholamreza Roshandel Basema Saddik Hamid Safarpour Mahdi Safdarian S Mohammad Sajadi Payman Salamati Marwa R Rashad Salem Hosni Salem Inbal Salz Abdallah M Samy Juan Sanabria Lidia Sanchez Riera Milena M Santric Milicevic Abdur Razzaque Sarker Arash Sarveazad Brijesh Sathian Monika Sawhney Mehdi Sayyah David C Schwebel Soraya Seedat Subramanian Senthilkumaran Seyedmojtaba Seyedmousavi Feng Sha Faramarz Shaahmadi Saeed Shahabi Masood Ali Shaikh Mehran Shams-Beyranvand Aziz Sheikh Mika Shigematsu Jae Il Shin Rahman Shiri Soraya Siabani Inga Dora Sigfusdottir Jasvinder A Singh Pankaj Kumar Singh Dhirendra Narain Sinha Amin Soheili Joan B Soriano Muluken Bekele Sorrie Ireneous N Soyiri Mark A Stokes Mu'awiyyah Babale Sufiyan Bryan L Sykes Rafael Tabarés-Seisdedos Karen M Tabb Biruk Wogayehu Taddele Yonatal Mesfin Tefera Arash Tehrani-Banihashemi Gebretsadkan Hintsa Tekulu Ayenew Kassie Tesema Tesema Berhe Etsay Tesfay Rekha Thapar Mariya Vladimirovna Titova Kenean Getaneh Tlaye Hamid Reza Tohidinik Roman Topor-Madry Khanh Bao Tran Bach Xuan Tran Jaya Prasad Tripathy Alexander C Tsai Aristidis Tsatsakis Lorainne Tudor Car Irfan Ullah Saif Ullah Bhaskaran Unnikrishnan Era Upadhyay Olalekan A Uthman Pascual R Valdez Tommi Juhani Vasankari Yousef Veisani Narayanaswamy Venketasubramanian Francesco S Violante Vasily Vlassov Yasir Waheed Yuan-Pang Wang Taweewat Wiangkham Haileab Fekadu Wolde Dawit Habte Woldeyes Temesgen Gebeyehu Wondmeneh Adam Belay Wondmieneh Ai-Min Wu Grant M A Wyper Rajaram Yadav Ali Yadollahpour Yuichiro Yano Sanni Yaya Vahid Yazdi-Feyzabadi Pengpeng Ye Paul Yip Engida Yisma Naohiro Yonemoto Seok-Jun Yoon Yoosik Youm Mustafa Z Younis Zabihollah Yousefi Chuanhua Yu Yong Yu Telma Zahirian Moghadam Zoubida Zaidi Sojib Bin Zaman Mohammad Zamani Hamed Zandian Fatemeh Zarei Zhi-Jiang Zhang Yunquan Zhang Arash Ziapour Sanjay Zodpey Rakhi Dandona Samath Dhamminda Dharmaratne Simon I Hay Ali H Mokdad David M Pigott Robert C Reiner Theo Vos

Inj Prev 2020 Oct 24;26(Supp 1):i125-i153. Epub 2020 Aug 24.

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria.

Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced.

Results: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes.

Conclusions: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.
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http://dx.doi.org/10.1136/injuryprev-2019-043531DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571362PMC
October 2020

The role of dietary antioxidant index and index of nutritional quality in MS onset: finding from an Iranian population-based incident case-control study.

Nutr Neurosci 2020 Apr 27:1-8. Epub 2020 Apr 27.

Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

The role of nutritional factors in MS etiology is a matter of debate. Employing dietary antioxidant index (DAI) as well as index of nutritional quality (INQ) we aimed to investigate the possible link between diet and MS risk. This was a large population-based case-control study recruiting 547 incident cases and 1057 population controls between August 2013 and February 2015. DAI and INQ were calculated based on the adolescence dietary intake of the participants. Logistic regression was employed for estimating adjusted odds ratios (OR) and their 95% confidence interval in 2018. Participants with less than median DAI values had two-fold increased risk of MS onset (adjusted OR 2.05, 95% CI: 1.64-2.58,  < 0.001). A significant dose-response pattern for DAI (adjusted OR 1.35, 95% CI: 1.18-1.55, for trend <0.001) was also detected. In the case of INQ, the strongest decreased risk were detected for vitamin D (OR = 0.09) and Zinc (OR = 0.34), followed by vitamin A (OR = 0.49), Calcium (OR = 0.49) and vitamin B6 (OR = 0.51) (All -values < 0.05). Considering the inherent limitation of case-control designs, an appropriate intake of nutrient antioxidants may have a role in decreasing the likelihood of MS risk. Moreover, those with healthier diet assessed by index of nutritional quality were at decreased risk for MS.
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http://dx.doi.org/10.1080/1028415X.2020.1755792DOI Listing
April 2020

Global injury morbidity and mortality from 1990 to 2017: results from the Global Burden of Disease Study 2017.

Authors:
Spencer L James Chris D Castle Zachary V Dingels Jack T Fox Erin B Hamilton Zichen Liu Nicholas L S Roberts Dillon O Sylte Nathaniel J Henry Kate E LeGrand Ahmed Abdelalim Amir Abdoli Ibrahim Abdollahpour Rizwan Suliankatchi Abdulkader Aidin Abedi Akine Eshete Abosetugn Abdelrahman I Abushouk Oladimeji M Adebayo Marcela Agudelo-Botero Tauseef Ahmad Rushdia Ahmed Muktar Beshir Ahmed Miloud Taki Eddine Aichour Fares Alahdab Genet Melak Alamene Fahad Mashhour Alanezi Animut Alebel Niguse Meles Alema Suliman A Alghnam Samar Al-Hajj Beriwan Abdulqadir Ali Saqib Ali Mahtab Alikhani Cyrus Alinia Vahid Alipour Syed Mohamed Aljunid Amir Almasi-Hashiani Nihad A Almasri Khalid Altirkawi Yasser Sami Abdeldayem Amer Saeed Amini Arianna Maever Loreche Amit Catalina Liliana Andrei Alireza Ansari-Moghaddam Carl Abelardo T Antonio Seth Christopher Yaw Appiah Jalal Arabloo Morteza Arab-Zozani Zohreh Arefi Olatunde Aremu Filippo Ariani Amit Arora Malke Asaad Babak Asghari Nefsu Awoke Beatriz Paulina Ayala Quintanilla Getinet Ayano Martin Amogre Ayanore Samad Azari Ghasem Azarian Alaa Badawi Ashish D Badiye Eleni Bagli Atif Amin Baig Mohan Bairwa Ahad Bakhtiari Arun Balachandran Maciej Banach Srikanta K Banerjee Palash Chandra Banik Amrit Banstola Suzanne Lyn Barker-Collo Till Winfried Bärnighausen Lope H Barrero Akbar Barzegar Mohsen Bayati Bayisa Abdissa Baye Neeraj Bedi Masoud Behzadifar Tariku Tesfaye Bekuma Habte Belete Corina Benjet Derrick A Bennett Isabela M Bensenor Kidanemaryam Berhe Pankaj Bhardwaj Anusha Ganapati Bhat Krittika Bhattacharyya Sadia Bibi Ali Bijani Muhammad Shahdaat Bin Sayeed Guilherme Borges Antonio Maria Borzì Soufiane Boufous Alexandra Brazinova Nikolay Ivanovich Briko Shyam S Budhathoki Josip Car Rosario Cárdenas Félix Carvalho João Mauricio Castaldelli-Maia Carlos A Castañeda-Orjuela Giulio Castelpietra Ferrán Catalá-López Ester Cerin Joht S Chandan Wagaye Fentahun Chanie Soosanna Kumary Chattu Vijay Kumar Chattu Irini Chatziralli Neha Chaudhary Daniel Youngwhan Cho Mohiuddin Ahsanul Kabir Chowdhury Dinh-Toi Chu Samantha M Colquhoun Maria-Magdalena Constantin Vera M Costa Giovanni Damiani Ahmad Daryani Claudio Alberto Dávila-Cervantes Feleke Mekonnen Demeke Asmamaw Bizuneh Demis Gebre Teklemariam Demoz Desalegn Getnet Demsie Afshin Derakhshani Kebede Deribe Rupak Desai Mostafa Dianati Nasab Diana Dias da Silva Zahra Sadat Dibaji Forooshani Kerrie E Doyle Tim Robert Driscoll Eleonora Dubljanin Bereket Duko Adema Arielle Wilder Eagan Aziz Eftekhari Elham Ehsani-Chimeh Maysaa El Sayed Zaki Demelash Abewa Elemineh Shaimaa I El-Jaafary Ziad El-Khatib Christian Lycke Ellingsen Mohammad Hassan Emamian Daniel Adane Endalew Sharareh Eskandarieh Pawan Sirwan Faris Andre Faro Farshad Farzadfar Yousef Fatahi Wubalem Fekadu Tomas Y Ferede Seyed-Mohammad Fereshtehnejad Eduarda Fernandes Pietro Ferrara Garumma Tolu Feyissa Irina Filip Florian Fischer Morenike Oluwatoyin Folayan Masoud Foroutan Joel Msafiri Francis Richard Charles Franklin Takeshi Fukumoto Biniyam Sahiledengle Geberemariyam Abadi Kahsu Gebre Ketema Bizuwork Gebremedhin Gebreamlak Gebremedhn Gebremeskel Berhe Gebremichael Getnet Azeze Gedefaw Birhanu Geta Mansour Ghafourifard Farhad Ghamari Ahmad Ghashghaee Asadollah Gholamian Tiffany K Gill Alessandra C Goulart Ayman Grada Michal Grivna Mohammed Ibrahim Mohialdeen Gubari Rafael Alves Guimarães Yuming Guo Gaurav Gupta Juanita A Haagsma Nima Hafezi-Nejad Hassan Haghparast Bidgoli Brian James Hall Randah R Hamadeh Samer Hamidi Josep Maria Haro Md Mehedi Hasan Amir Hasanzadeh Soheil Hassanipour Hadi Hassankhani Hamid Yimam Hassen Rasmus Havmoeller Khezar Hayat Delia Hendrie Fatemeh Heydarpour Martha Híjar Hung Chak Ho Chi Linh Hoang Michael K Hole Ramesh Holla Naznin Hossain Mehdi Hosseinzadeh Sorin Hostiuc Guoqing Hu Segun Emmanuel Ibitoye Olayinka Stephen Ilesanmi Irena Ilic Milena D Ilic Leeberk Raja Inbaraj Endang Indriasih Seyed Sina Naghibi Irvani Sheikh Mohammed Shariful Islam M Mofizul Islam Rebecca Q Ivers Kathryn H Jacobsen Mohammad Ali Jahani Nader Jahanmehr Mihajlo Jakovljevic Farzad Jalilian Sudha Jayaraman Achala Upendra Jayatilleke Ravi Prakash Jha Yetunde O John-Akinola Jost B Jonas Nitin Joseph Farahnaz Joukar Jacek Jerzy Jozwiak Suresh Banayya Jungari Mikk Jürisson Ali Kabir Rajendra Kadel Amaha Kahsay Leila R Kalankesh Rohollah Kalhor Teshome Abegaz Kamil Tanuj Kanchan Neeti Kapoor Manoochehr Karami Amir Kasaeian Hagazi Gebremedhin Kassaye Taras Kavetskyy Hafte Kahsay Kebede Peter Njenga Keiyoro Abraham Getachew Kelbore Bayew Kelkay Yousef Saleh Khader Morteza Abdullatif Khafaie Nauman Khalid Ibrahim A Khalil Rovshan Khalilov Mohammad Khammarnia Ejaz Ahmad Khan Maseer Khan Tripti Khanna Habibolah Khazaie Fatemeh Khosravi Shadmani Roba Khundkar Daniel N Kiirithio Young-Eun Kim Daniel Kim Yun Jin Kim Adnan Kisa Sezer Kisa Hamidreza Komaki Shivakumar K M Kondlahalli Vladimir Andreevich Korshunov Ai Koyanagi Moritz U G Kraemer Kewal Krishan Burcu Kucuk Bicer Nuworza Kugbey Vivek Kumar Nithin Kumar G Anil Kumar Manasi Kumar Girikumar Kumaresh Om P Kurmi Oluwatosin Kuti Carlo La Vecchia Faris Hasan Lami Prabhat Lamichhane Justin J Lang Van C Lansingh Dennis Odai Laryea Savita Lasrado Arman Latifi Paolo Lauriola Janet L Leasher Shaun Wen Huey Lee Tsegaye Lolaso Lenjebo Miriam Levi Shanshan Li Shai Linn Xuefeng Liu Alan D Lopez Paulo A Lotufo Raimundas Lunevicius Ronan A Lyons Mohammed Madadin Muhammed Magdy Abd El Razek Narayan Bahadur Mahotra Marek Majdan Azeem Majeed Jeadran N Malagon-Rojas Venkatesh Maled Reza Malekzadeh Deborah Carvalho Malta Navid Manafi Amir Manafi Ana-Laura Manda Narayana Manjunatha Fariborz Mansour-Ghanaei Borhan Mansouri Mohammad Ali Mansournia Joemer C Maravilla Lyn M March Amanda J Mason-Jones Seyedeh Zahra Masoumi Benjamin Ballard Massenburg Pallab K Maulik Gebrekiros Gebremichael Meles Addisu Melese Zeleke Aschalew Melketsedik Peter T N Memiah Walter Mendoza Ritesh G Menezes Meresa Berwo Mengesha Melkamu Merid Mengesha Tuomo J Meretoja Atte Meretoja Hayimro Edemealem Merie Tomislav Mestrovic Bartosz Miazgowski Tomasz Miazgowski Ted R Miller G K Mini Andreea Mirica Erkin M Mirrakhimov Mehdi Mirzaei-Alavijeh Prasanna Mithra Babak Moazen Masoud Moghadaszadeh Efat Mohamadi Yousef Mohammad Karzan Abdulmuhsin Mohammad Aso Mohammad Darwesh Naser Mohammad Gholi Mezerji Abdollah Mohammadian-Hafshejani Milad Mohammadoo-Khorasani Reza Mohammadpourhodki Shafiu Mohammed Jemal Abdu Mohammed Farnam Mohebi Mariam Molokhia Lorenzo Monasta Yoshan Moodley Mahmood Moosazadeh Masoud Moradi Ghobad Moradi Maziar Moradi-Lakeh Farhad Moradpour Lidia Morawska Ilais Moreno Velásquez Naho Morisaki Shane Douglas Morrison Tilahun Belete Mossie Atalay Goshu Muluneh Srinivas Murthy Kamarul Imran Musa Ghulam Mustafa Ashraf F Nabhan Ahamarshan Jayaraman Nagarajan Gurudatta Naik Mukhammad David Naimzada Farid Najafi Vinay Nangia Bruno Ramos Nascimento Morteza Naserbakht Vinod Nayak Duduzile Edith Ndwandwe Ionut Negoi Josephine W Ngunjiri Cuong Tat Nguyen Huong Lan Thi Nguyen Rajan Nikbakhsh Dina Nur Anggraini Ningrum Chukwudi A Nnaji Peter S Nyasulu Felix Akpojene Ogbo Onome Bright Oghenetega In-Hwan Oh Emmanuel Wandera Okunga Andrew T Olagunju Tinuke O Olagunju Ahmed Omar Bali Obinna E Onwujekwe Kwaku Oppong Asante Heather M Orpana Erika Ota Nikita Otstavnov Stanislav S Otstavnov Mahesh P A Jagadish Rao Padubidri Smita Pakhale Keyvan Pakshir Songhomitra Panda-Jonas Eun-Kee Park Sangram Kishor Patel Ashish Pathak Sanghamitra Pati George C Patton Kebreab Paulos Amy E Peden Veincent Christian Filipino Pepito Jeevan Pereira Hai Quang Pham Michael R Phillips Marina Pinheiro Roman V Polibin Suzanne Polinder Hossein Poustchi Swayam Prakash Dimas Ria Angga Pribadi Parul Puri Zahiruddin Quazi Syed Mohammad Rabiee Navid Rabiee Amir Radfar Anwar Rafay Ata Rafiee Alireza Rafiei Fakher Rahim Siavash Rahimi Vafa Rahimi-Movaghar Muhammad Aziz Rahman Ali Rajabpour-Sanati Fatemeh Rajati Ivo Rakovac Kavitha Ranganathan Sowmya J Rao Vahid Rashedi Prateek Rastogi Priya Rathi Salman Rawaf Lal Rawal Reza Rawassizadeh Vishnu Renjith Andre M N Renzaho Serge Resnikoff Aziz Rezapour Ana Isabel Ribeiro Jennifer Rickard Carlos Miguel Rios González Luca Ronfani Gholamreza Roshandel Anas M Saad Yogesh Damodar Sabde Siamak Sabour Basema Saddik Saeed Safari Roya Safari-Faramani Hamid Safarpour Mahdi Safdarian S Mohammad Sajadi Payman Salamati Farkhonde Salehi Saleh Salehi Zahabi Marwa R Rashad Salem Hosni Salem Omar Salman Inbal Salz Abdallah M Samy Juan Sanabria Lidia Sanchez Riera Milena M Santric Milicevic Abdur Razzaque Sarker Arash Sarveazad Brijesh Sathian Monika Sawhney Susan M Sawyer Sonia Saxena Mehdi Sayyah David C Schwebel Soraya Seedat Subramanian Senthilkumaran Sadaf G Sepanlou Seyedmojtaba Seyedmousavi Feng Sha Faramarz Shaahmadi Saeed Shahabi Masood Ali Shaikh Mehran Shams-Beyranvand Morteza Shamsizadeh Mahdi Sharif-Alhoseini Hamid Sharifi Aziz Sheikh Mika Shigematsu Jae Il Shin Rahman Shiri Soraya Siabani Inga Dora Sigfusdottir Pankaj Kumar Singh Jasvinder A Singh Dhirendra Narain Sinha Catalin-Gabriel Smarandache Emma U R Smith Amin Soheili Bija Soleymani Ali Reza Soltanian Joan B Soriano Muluken Bekele Sorrie Ireneous N Soyiri Dan J Stein Mark A Stokes Mu'awiyyah Babale Sufiyan Hafiz Ansar Rasul Suleria Bryan L Sykes Rafael Tabarés-Seisdedos Karen M Tabb Biruk Wogayehu Taddele Degena Bahrey Tadesse Animut Tagele Tamiru Ingan Ukur Tarigan Yonatal Mesfin Tefera Arash Tehrani-Banihashemi Merhawi Gebremedhin Tekle Gebretsadkan Hintsa Tekulu Ayenew Kassie Tesema Berhe Etsay Tesfay Rekha Thapar Asres Bedaso Tilahune Kenean Getaneh Tlaye Hamid Reza Tohidinik Roman Topor-Madry Bach Xuan Tran Khanh Bao Tran Jaya Prasad Tripathy Alexander C Tsai Lorainne Tudor Car Saif Ullah Irfan Ullah Maida Umar Bhaskaran Unnikrishnan Era Upadhyay Olalekan A Uthman Pascual R Valdez Tommi Juhani Vasankari Narayanaswamy Venketasubramanian Francesco S Violante Vasily Vlassov Yasir Waheed Girmay Teklay Weldesamuel Andrea Werdecker Taweewat Wiangkham Haileab Fekadu Wolde Dawit Habte Woldeyes Dawit Zewdu Wondafrash Temesgen Gebeyehu Wondmeneh Adam Belay Wondmieneh Ai-Min Wu Rajaram Yadav Ali Yadollahpour Yuichiro Yano Sanni Yaya Vahid Yazdi-Feyzabadi Paul Yip Engida Yisma Naohiro Yonemoto Seok-Jun Yoon Yoosik Youm Mustafa Z Younis Zabihollah Yousefi Yong Yu Chuanhua Yu Hasan Yusefzadeh Telma Zahirian Moghadam Zoubida Zaidi Sojib Bin Zaman Mohammad Zamani Maryam Zamanian Hamed Zandian Ahmad Zarei Fatemeh Zare Zhi-Jiang Zhang Yunquan Zhang Sanjay Zodpey Lalit Dandona Rakhi Dandona Louisa Degenhardt Samath Dhamminda Dharmaratne Simon I Hay Ali H Mokdad Robert C Reiner Benn Sartorius Theo Vos

Inj Prev 2020 Oct 24;26(Supp 1):i96-i114. Epub 2020 Apr 24.

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Background: Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries.

Methods: We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs).

Findings: In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505).

Interpretation: Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.
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http://dx.doi.org/10.1136/injuryprev-2019-043494DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571366PMC
October 2020

Dietary inflammatory index and risk of multiple sclerosis: Findings from a large population-based incident case-control study.

Clin Nutr 2020 Nov 6;39(11):3402-3407. Epub 2020 Mar 6.

Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Background & Aims: For many decades diet, mainly its "pro-inflammatory" quality has been pondered as a possible risk factor for developing MS. However, the complexity of different dietary composition analysis provided controversial results. Recently a dietary inflammatory index (DII), a population-based score, was developed to objectify the inflammatory characteristics of a specific dietary intake.

Methods: We investigated the potential association between DII (expressed as energy adjusted-DII (E-DII) and non-energy adjusted DII (DII)) assessed from a validated FFQ based on the participants' diet habits during adolescence and the risk for developing MS in a population-based incident case-control study. Multiple logistic regression was used to estimate the adjusted.

Results: We recruited 547 incident MS cases and 1057 general population controls from Tehran, Iran (August 2013-February 2015). A statistically significant higher risk of MS was found in analyses using E-DII scores as a continuous variable with an adjusted odds ratio (AOR) of 1.53 (95% confidence interval (CI): 1.42-1.65, P = 0.001), and as a categorical variable (4th quartile OR 7.01, 95% CI: 4.87-10.1, vs the first quartile), test for trend; OR 1.86 (95% CI: 1.67-2.07), P for trend <0.001. A similar pattern was demonstrated for DII score and risk for MS.

Conclusions: We identified a pro-inflammatory diet characterized by higher E-DII and DII scores during adolescence as a strong risk factor for MS onset. Given the worldwide role of diet in general population health, improving nutritional pattern through educational programs is likely to reduce MS risk.
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November 2020

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017.

Authors:
Roy Burstein Nathaniel J Henry Michael L Collison Laurie B Marczak Amber Sligar Stefanie Watson Neal Marquez Mahdieh Abbasalizad-Farhangi Masoumeh Abbasi Foad Abd-Allah Amir Abdoli Mohammad Abdollahi Ibrahim Abdollahpour Rizwan Suliankatchi Abdulkader Michael R M Abrigo Dilaram Acharya Oladimeji M Adebayo Victor Adekanmbi Davoud Adham Mahdi Afshari Mohammad Aghaali Keivan Ahmadi Mehdi Ahmadi Ehsan Ahmadpour Rushdia Ahmed Chalachew Genet Akal Joshua O Akinyemi Fares Alahdab Noore Alam Genet Melak Alamene Kefyalew Addis Alene Mehran Alijanzadeh Cyrus Alinia Vahid Alipour Syed Mohamed Aljunid Mohammed J Almalki Hesham M Al-Mekhlafi Khalid Altirkawi Nelson Alvis-Guzman Adeladza Kofi Amegah Saeed Amini Arianna Maever Loreche Amit Zohreh Anbari Sofia Androudi Mina Anjomshoa Fereshteh Ansari Carl Abelardo T Antonio Jalal Arabloo Zohreh Arefi Olatunde Aremu Bahram Armoon Amit Arora Al Artaman Anvar Asadi Mehran Asadi-Aliabadi Amir Ashraf-Ganjouei Reza Assadi Bahar Ataeinia Sachin R Atre Beatriz Paulina Ayala Quintanilla Martin Amogre Ayanore Samad Azari Ebrahim Babaee Arefeh Babazadeh Alaa Badawi Soghra Bagheri Mojtaba Bagherzadeh Nafiseh Baheiraei Abbas Balouchi Aleksandra Barac Quique Bassat Bernhard T Baune Mohsen Bayati Neeraj Bedi Ettore Beghi Masoud Behzadifar Meysam Behzadifar Yared Belete Belay Brent Bell Michelle L Bell Dessalegn Ajema Berbada Robert S Bernstein Natalia V Bhattacharjee Suraj Bhattarai Zulfiqar A Bhutta Ali Bijani Somayeh Bohlouli Nicholas J K Breitborde Gabrielle Britton Annie J Browne Sharath Burugina Nagaraja Reinhard Busse Zahid A Butt Josip Car Rosario Cárdenas Carlos A Castañeda-Orjuela Ester Cerin Wagaye Fentahun Chanie Pranab Chatterjee Dinh-Toi Chu Cyrus Cooper Vera M Costa Koustuv Dalal Lalit Dandona Rakhi Dandona Farah Daoud Ahmad Daryani Rajat Das Gupta Ian Davis Nicole Davis Weaver Dragos Virgil Davitoiu Jan-Walter De Neve Feleke Mekonnen Demeke Gebre Teklemariam Demoz Kebede Deribe Rupak Desai Aniruddha Deshpande Hanna Demelash Desyibelew Sagnik Dey Samath Dhamminda Dharmaratne Meghnath Dhimal Daniel Diaz Leila Doshmangir Andre R Duraes Laura Dwyer-Lindgren Lucas Earl Roya Ebrahimi Soheil Ebrahimpour Andem Effiong Aziz Eftekhari Elham Ehsani-Chimeh Iman El Sayed Maysaa El Sayed Zaki Maha El Tantawi Ziad El-Khatib Mohammad Hassan Emamian Shymaa Enany Sharareh Eskandarieh Oghenowede Eyawo Maha Ezalarab Mahbobeh Faramarzi Mohammad Fareed Roghiyeh Faridnia Andre Faro Ali Akbar Fazaeli Mehdi Fazlzadeh Netsanet Fentahun Seyed-Mohammad Fereshtehnejad João C Fernandes Irina Filip Florian Fischer Nataliya A Foigt Masoud Foroutan Joel Msafiri Francis Takeshi Fukumoto Nancy Fullman Silvano Gallus Destallem Gebremedhin Gebre Tsegaye Tewelde Gebrehiwot Gebreamlak Gebremedhn Gebremeskel Bradford D Gessner Birhanu Geta Peter W Gething Reza Ghadimi Keyghobad Ghadiri Mahsa Ghajarzadeh Ahmad Ghashghaee Paramjit Singh Gill Tiffany K Gill Nick Golding Nelson G M Gomes Philimon N Gona Sameer Vali Gopalani Giuseppe Gorini Bárbara Niegia Garcia Goulart Nicholas Graetz Felix Greaves Manfred S Green Yuming Guo Arvin Haj-Mirzaian Arya Haj-Mirzaian Brian James Hall Samer Hamidi Hamidreza Haririan Josep Maria Haro Milad Hasankhani Edris Hasanpoor Amir Hasanzadeh Hadi Hassankhani Hamid Yimam Hassen Mohamed I Hegazy Delia Hendrie Fatemeh Heydarpour Thomas R Hird Chi Linh Hoang Gillian Hollerich Enayatollah Homaie Rad Mojtaba Hoseini-Ghahfarokhi Naznin Hossain Mostafa Hosseini Mehdi Hosseinzadeh Mihaela Hostiuc Sorin Hostiuc Mowafa Househ Mohamed Hsairi Olayinka Stephen Ilesanmi Mohammad Hasan Imani-Nasab Usman Iqbal Seyed Sina Naghibi Irvani Nazrul Islam Sheikh Mohammed Shariful Islam Mikk Jürisson Nader Jafari Balalami Amir Jalali Javad Javidnia Achala Upendra Jayatilleke Ensiyeh Jenabi John S Ji Yash B Jobanputra Kimberly Johnson Jost B Jonas Zahra Jorjoran Shushtari Jacek Jerzy Jozwiak Ali Kabir Amaha Kahsay Hamed Kalani Rohollah Kalhor Manoochehr Karami Surendra Karki Amir Kasaeian Nicholas J Kassebaum Peter Njenga Keiyoro Grant Rodgers Kemp Roghayeh Khabiri Yousef Saleh Khader Morteza Abdullatif Khafaie Ejaz Ahmad Khan Junaid Khan Muhammad Shahzeb Khan Young-Ho Khang Khaled Khatab Amir Khater Mona M Khater Alireza Khatony Mohammad Khazaei Salman Khazaei Maryam Khazaei-Pool Jagdish Khubchandani Neda Kianipour Yun Jin Kim Ruth W Kimokoti Damaris K Kinyoki Adnan Kisa Sezer Kisa Tufa Kolola Soewarta Kosen Parvaiz A Koul Ai Koyanagi Moritz U G Kraemer Kewal Krishan Kris J Krohn Nuworza Kugbey G Anil Kumar Manasi Kumar Pushpendra Kumar Desmond Kuupiel Ben Lacey Sheetal D Lad Faris Hasan Lami Anders O Larsson Paul H Lee Mostafa Leili Aubrey J Levine Shanshan Li Lee-Ling Lim Stefan Listl Joshua Longbottom Jaifred Christian F Lopez Stefan Lorkowski Sameh Magdeldin Hassan Magdy Abd El Razek Muhammed Magdy Abd El Razek Azeem Majeed Afshin Maleki Reza Malekzadeh Deborah Carvalho Malta Abdullah A Mamun Navid Manafi Ana-Laura Manda Morteza Mansourian Francisco Rogerlândio Martins-Melo Anthony Masaka Benjamin Ballard Massenburg Pallab K Maulik Benjamin K Mayala Mohsen Mazidi Martin McKee Ravi Mehrotra Kala M Mehta Gebrekiros Gebremichael Meles Walter Mendoza Ritesh G Menezes Atte Meretoja Tuomo J Meretoja Tomislav Mestrovic Ted R Miller Molly K Miller-Petrie Edward J Mills George J Milne G K Mini Seyed Mostafa Mir Hamed Mirjalali Erkin M Mirrakhimov Efat Mohamadi Dara K Mohammad Aso Mohammad Darwesh Naser Mohammad Gholi Mezerji Ammas Siraj Mohammed Shafiu Mohammed Ali H Mokdad Mariam Molokhia Lorenzo Monasta Yoshan Moodley Mahmood Moosazadeh Ghobad Moradi Masoud Moradi Yousef Moradi Maziar Moradi-Lakeh Mehdi Moradinazar Paula Moraga Lidia Morawska Abbas Mosapour Seyyed Meysam Mousavi Ulrich Otto Mueller Atalay Goshu Muluneh Ghulam Mustafa Behnam Nabavizadeh Mehdi Naderi Ahamarshan Jayaraman Nagarajan Azin Nahvijou Farid Najafi Vinay Nangia Duduzile Edith Ndwandwe Nahid Neamati Ionut Negoi Ruxandra Irina Negoi Josephine W Ngunjiri Huong Lan Thi Nguyen Long Hoang Nguyen Son Hoang Nguyen Katie R Nielsen Dina Nur Anggraini Ningrum Yirga Legesse Nirayo Molly R Nixon Chukwudi A Nnaji Marzieh Nojomi Mehdi Noroozi Shirin Nosratnejad Jean Jacques Noubiap Soraya Nouraei Motlagh Richard Ofori-Asenso Felix Akpojene Ogbo Kelechi E Oladimeji Andrew T Olagunju Meysam Olfatifar Solomon Olum Bolajoko Olubukunola Olusanya Mojisola Morenike Oluwasanu Obinna E Onwujekwe Eyal Oren Doris D V Ortega-Altamirano Alberto Ortiz Osayomwanbo Osarenotor Frank B Osei Aaron E Osgood-Zimmerman Stanislav S Otstavnov Mayowa Ojo Owolabi Mahesh P A Abdol Sattar Pagheh Smita Pakhale Songhomitra Panda-Jonas Animika Pandey Eun-Kee Park Hadi Parsian Tahereh Pashaei Sangram Kishor Patel Veincent Christian Filipino Pepito Alexandre Pereira Samantha Perkins Brandon V Pickering Thomas Pilgrim Majid Pirestani Bakhtiar Piroozi Meghdad Pirsaheb Oleguer Plana-Ripoll Hadi Pourjafar Parul Puri Mostafa Qorbani Hedley Quintana Mohammad Rabiee Navid Rabiee Amir Radfar Alireza Rafiei Fakher Rahim Zohreh Rahimi Vafa Rahimi-Movaghar Shadi Rahimzadeh Fatemeh Rajati Sree Bhushan Raju Azra Ramezankhani Chhabi Lal Ranabhat Davide Rasella Vahid Rashedi Lal Rawal Robert C Reiner Andre M N Renzaho Satar Rezaei Aziz Rezapour Seyed Mohammad Riahi Ana Isabel Ribeiro Leonardo Roever Elias Merdassa Roro Max Roser Gholamreza Roshandel Daem Roshani Ali Rostami Enrico Rubagotti Salvatore Rubino Siamak Sabour Nafis Sadat Ehsan Sadeghi Reza Saeedi Yahya Safari Roya Safari-Faramani Mahdi Safdarian Amirhossein Sahebkar Mohammad Reza Salahshoor Nasir Salam Payman Salamati Farkhonde Salehi Saleh Salehi Zahabi Yahya Salimi Hamideh Salimzadeh Joshua A Salomon Evanson Zondani Sambala Abdallah M Samy Milena M Santric Milicevic Bruno Piassi Sao Jose Sivan Yegnanarayana Iyer Saraswathy Rodrigo Sarmiento-Suárez Benn Sartorius Brijesh Sathian Sonia Saxena Alyssa N Sbarra Lauren E Schaeffer David C Schwebel Sadaf G Sepanlou Seyedmojtaba Seyedmousavi Faramarz Shaahmadi Masood Ali Shaikh Mehran Shams-Beyranvand Amir Shamshirian Morteza Shamsizadeh Kiomars Sharafi Mehdi Sharif Mahdi Sharif-Alhoseini Hamid Sharifi Jayendra Sharma Rajesh Sharma Aziz Sheikh Chloe Shields Mika Shigematsu Rahman Shiri Ivy Shiue Kerem Shuval Tariq J Siddiqi João Pedro Silva Jasvinder A Singh Dhirendra Narain Sinha Malede Mequanent Sisay Solomon Sisay Karen Sliwa David L Smith Ranjani Somayaji Moslem Soofi Joan B Soriano Chandrashekhar T Sreeramareddy Agus Sudaryanto Mu'awiyyah Babale Sufiyan Bryan L Sykes P N Sylaja Rafael Tabarés-Seisdedos Karen M Tabb Takahiro Tabuchi Nuno Taveira Mohamad-Hani Temsah Abdullah Sulieman Terkawi Zemenu Tadesse Tessema Kavumpurathu Raman Thankappan Sathish Thirunavukkarasu Quyen G To Marcos Roberto Tovani-Palone Bach Xuan Tran Khanh Bao Tran Irfan Ullah Muhammad Shariq Usman Olalekan A Uthman Amir Vahedian-Azimi Pascual R Valdez Job F M van Boven Tommi Juhani Vasankari Yasser Vasseghian Yousef Veisani Narayanaswamy Venketasubramanian Francesco S Violante Sergey Konstantinovitch Vladimirov Vasily Vlassov Theo Vos Giang Thu Vu Isidora S Vujcic Yasir Waheed Jon Wakefield Haidong Wang Yafeng Wang Yuan-Pang Wang Joseph L Ward Robert G Weintraub Kidu Gidey Weldegwergs Girmay Teklay Weldesamuel Ronny Westerman Charles Shey Wiysonge Dawit Zewdu Wondafrash Lauren Woyczynski Ai-Min Wu Gelin Xu Abbas Yadegar Tomohide Yamada Vahid Yazdi-Feyzabadi Christopher Sabo Yilgwan Paul Yip Naohiro Yonemoto Javad Yoosefi Lebni Mustafa Z Younis Mahmoud Yousefifard Hebat-Allah Salah A Yousof Chuanhua Yu Hasan Yusefzadeh Erfan Zabeh Telma Zahirian Moghadam Sojib Bin Zaman Mohammad Zamani Hamed Zandian Alireza Zangeneh Taddese Alemu Zerfu Yunquan Zhang Arash Ziapour Sanjay Zodpey Christopher J L Murray Simon I Hay

Nature 2019 10 16;574(7778):353-358. Epub 2019 Oct 16.

Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.
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http://dx.doi.org/10.1038/s41586-019-1545-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6800389PMC
October 2019

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study.

Authors:
Christina Fitzmaurice Degu Abate Naghmeh Abbasi Hedayat Abbastabar Foad Abd-Allah Omar Abdel-Rahman Ahmed Abdelalim Amir Abdoli Ibrahim Abdollahpour Abdishakur S M Abdulle Nebiyu Dereje Abebe Haftom Niguse Abraha Laith Jamal Abu-Raddad Ahmed Abualhasan Isaac Akinkunmi Adedeji Shailesh M Advani Mohsen Afarideh Mahdi Afshari Mohammad Aghaali Dominic Agius Sutapa Agrawal Ayat Ahmadi Elham Ahmadian Ehsan Ahmadpour Muktar Beshir Ahmed Mohammad Esmaeil Akbari Tomi Akinyemiju Ziyad Al-Aly Assim M AlAbdulKader Fares Alahdab Tahiya Alam Genet Melak Alamene Birhan Tamene T Alemnew Kefyalew Addis Alene Cyrus Alinia Vahid Alipour Syed Mohamed Aljunid Fatemeh Allah Bakeshei Majid Abdulrahman Hamad Almadi Amir Almasi-Hashiani Ubai Alsharif Shirina Alsowaidi Nelson Alvis-Guzman Erfan Amini Saeed Amini Yaw Ampem Amoako Zohreh Anbari Nahla Hamed Anber Catalina Liliana Andrei Mina Anjomshoa Fereshteh Ansari Ansariadi Ansariadi Seth Christopher Yaw Appiah Morteza Arab-Zozani Jalal Arabloo Zohreh Arefi Olatunde Aremu Habtamu Abera Areri Al Artaman Hamid Asayesh Ephrem Tsegay Asfaw Alebachew Fasil Ashagre Reza Assadi Bahar Ataeinia Hagos Tasew Atalay Zerihun Ataro Suleman Atique Marcel Ausloos Leticia Avila-Burgos Euripide F G A Avokpaho Ashish Awasthi Nefsu Awoke Beatriz Paulina Ayala Quintanilla Martin Amogre Ayanore Henok Tadesse Ayele Ebrahim Babaee Umar Bacha Alaa Badawi Mojtaba Bagherzadeh Eleni Bagli Senthilkumar Balakrishnan Abbas Balouchi Till Winfried Bärnighausen Robert J Battista Masoud Behzadifar Meysam Behzadifar Bayu Begashaw Bekele Yared Belete Belay Yaschilal Muche Belayneh Kathleen Kim Sachiko Berfield Adugnaw Berhane Eduardo Bernabe Mircea Beuran Nickhill Bhakta Krittika Bhattacharyya Belete Biadgo Ali Bijani Muhammad Shahdaat Bin Sayeed Charles Birungi Catherine Bisignano Helen Bitew Tone Bjørge Archie Bleyer Kassawmar Angaw Bogale Hunduma Amensisa Bojia Antonio M Borzì Cristina Bosetti Ibrahim R Bou-Orm Hermann Brenner Jerry D Brewer Andrey Nikolaevich Briko Nikolay Ivanovich Briko Maria Teresa Bustamante-Teixeira Zahid A Butt Giulia Carreras Juan J Carrero Félix Carvalho Clara Castro Franz Castro Ferrán Catalá-López Ester Cerin Yazan Chaiah Wagaye Fentahun Chanie Vijay Kumar Chattu Pankaj Chaturvedi Neelima Singh Chauhan Mohammad Chehrazi Peggy Pei-Chia Chiang Tesfaye Yitna Chichiabellu Onyema Greg Chido-Amajuoyi Odgerel Chimed-Ochir Jee-Young J Choi Devasahayam J Christopher Dinh-Toi Chu Maria-Magdalena Constantin Vera M Costa Emanuele Crocetti Christopher Stephen Crowe Maria Paula Curado Saad M A Dahlawi Giovanni Damiani Amira Hamed Darwish Ahmad Daryani José das Neves Feleke Mekonnen Demeke Asmamaw Bizuneh Demis Birhanu Wondimeneh Demissie Gebre Teklemariam Demoz Edgar Denova-Gutiérrez Afshin Derakhshani Kalkidan Solomon Deribe Rupak Desai Beruk Berhanu Desalegn Melaku Desta Subhojit Dey Samath Dhamminda Dharmaratne Meghnath Dhimal Daniel Diaz Mesfin Tadese Tadese Dinberu Shirin Djalalinia David Teye Doku Thomas M Drake Manisha Dubey Eleonora Dubljanin Eyasu Ejeta Duken Hedyeh Ebrahimi Andem Effiong Aziz Eftekhari Iman El Sayed Maysaa El Sayed Zaki Shaimaa I El-Jaafary Ziad El-Khatib Demelash Abewa Elemineh Hajer Elkout Richard G Ellenbogen Aisha Elsharkawy Mohammad Hassan Emamian Daniel Adane Endalew Aman Yesuf Endries Babak Eshrati Ibtihal Fadhil Vahid Fallah Omrani Mahbobeh Faramarzi Mahdieh Abbasalizad Farhangi Andrea Farioli Farshad Farzadfar Netsanet Fentahun Eduarda Fernandes Garumma Tolu Feyissa Irina Filip Florian Fischer James L Fisher Lisa M Force Masoud Foroutan Marisa Freitas Takeshi Fukumoto Neal D Futran Silvano Gallus Fortune Gbetoho Gankpe Reta Tsegaye Gayesa Tsegaye Tewelde Gebrehiwot Gebreamlak Gebremedhn Gebremeskel Getnet Azeze Gedefaw Belayneh K Gelaw Birhanu Geta Sefonias Getachew Kebede Embaye Gezae Mansour Ghafourifard Alireza Ghajar Ahmad Ghashghaee Asadollah Gholamian Paramjit Singh Gill Themba T G Ginindza Alem Girmay Muluken Gizaw Ricardo Santiago Gomez Sameer Vali Gopalani Giuseppe Gorini Bárbara Niegia Garcia Goulart Ayman Grada Maximiliano Ribeiro Guerra Andre Luiz Sena Guimaraes Prakash C Gupta Rahul Gupta Kishor Hadkhale Arvin Haj-Mirzaian Arya Haj-Mirzaian Randah R Hamadeh Samer Hamidi Lolemo Kelbiso Hanfore Josep Maria Haro Milad Hasankhani Amir Hasanzadeh Hamid Yimam Hassen Roderick J Hay Simon I Hay Andualem Henok Nathaniel J Henry Claudiu Herteliu Hagos D Hidru Chi Linh Hoang Michael K Hole Praveen Hoogar Nobuyuki Horita H Dean Hosgood Mostafa Hosseini Mehdi Hosseinzadeh Mihaela Hostiuc Sorin Hostiuc Mowafa Househ Mohammedaman Mama Hussen Bogdan Ileanu Milena D Ilic Kaire Innos Seyed Sina Naghibi Irvani Kufre Robert Iseh Sheikh Mohammed Shariful Islam Farhad Islami Nader Jafari Balalami Morteza Jafarinia Leila Jahangiry Mohammad Ali Jahani Nader Jahanmehr Mihajlo Jakovljevic Spencer L James Mehdi Javanbakht Sudha Jayaraman Sun Ha Jee Ensiyeh Jenabi Ravi Prakash Jha Jost B Jonas Jitendra Jonnagaddala Tamas Joo Suresh Banayya Jungari Mikk Jürisson Ali Kabir Farin Kamangar André Karch Narges Karimi Ansar Karimian Amir Kasaeian Gebremicheal Gebreslassie Kasahun Belete Kassa Tesfaye Dessale Kassa Mesfin Wudu Kassaw Anil Kaul Peter Njenga Keiyoro Abraham Getachew Kelbore Amene Abebe Kerbo Yousef Saleh Khader Maryam Khalilarjmandi Ejaz Ahmad Khan Gulfaraz Khan Young-Ho Khang Khaled Khatab Amir Khater Maryam Khayamzadeh Maryam Khazaee-Pool Salman Khazaei Abdullah T Khoja Mohammad Hossein Khosravi Jagdish Khubchandani Neda Kianipour Daniel Kim Yun Jin Kim Adnan Kisa Sezer Kisa Katarzyna Kissimova-Skarbek Hamidreza Komaki Ai Koyanagi Kristopher J Krohn Burcu Kucuk Bicer Nuworza Kugbey Vivek Kumar Desmond Kuupiel Carlo La Vecchia Deepesh P Lad Eyasu Alem Lake Ayenew Molla Lakew Dharmesh Kumar Lal Faris Hasan Lami Qing Lan Savita Lasrado Paolo Lauriola Jeffrey V Lazarus James Leigh Cheru Tesema Leshargie Yu Liao Miteku Andualem Limenih Stefan Listl Alan D Lopez Platon D Lopukhov Raimundas Lunevicius Mohammed Madadin Sameh Magdeldin Hassan Magdy Abd El Razek Azeem Majeed Afshin Maleki Reza Malekzadeh Ali Manafi Navid Manafi Wondimu Ayele Manamo Morteza Mansourian Mohammad Ali Mansournia Lorenzo Giovanni Mantovani Saman Maroufizadeh Santi Martini S Martini Tivani Phosa Mashamba-Thompson Benjamin Ballard Massenburg Motswadi Titus Maswabi Manu Raj Mathur Colm McAlinden Martin McKee Hailemariam Abiy Alemu Meheretu Ravi Mehrotra Varshil Mehta Toni Meier Yohannes A Melaku Gebrekiros Gebremichael Meles Hagazi Gebre Meles Addisu Melese Mulugeta Melku Peter T N Memiah Walter Mendoza Ritesh G Menezes Shahin Merat Tuomo J Meretoja Tomislav Mestrovic Bartosz Miazgowski Tomasz Miazgowski Kebadnew Mulatu M Mihretie Ted R Miller Edward J Mills Seyed Mostafa Mir Hamed Mirzaei Hamid Reza Mirzaei Rashmi Mishra Babak Moazen Dara K Mohammad Karzan Abdulmuhsin Mohammad Yousef Mohammad Aso Mohammad Darwesh Abolfazl Mohammadbeigi Hiwa Mohammadi Moslem Mohammadi Mahdi Mohammadian Abdollah Mohammadian-Hafshejani Milad Mohammadoo-Khorasani Reza Mohammadpourhodki Ammas Siraj Mohammed Jemal Abdu Mohammed Shafiu Mohammed Farnam Mohebi Ali H Mokdad Lorenzo Monasta Yoshan Moodley Mahmood Moosazadeh Maryam Moossavi Ghobad Moradi Mohammad Moradi-Joo Maziar Moradi-Lakeh Farhad Moradpour Lidia Morawska Joana Morgado-da-Costa Naho Morisaki Shane Douglas Morrison Abbas Mosapour Seyyed Meysam Mousavi Achenef Asmamaw Muche Oumer Sada S Muhammed Jonah Musa Ashraf F Nabhan Mehdi Naderi Ahamarshan Jayaraman Nagarajan Gabriele Nagel Azin Nahvijou Gurudatta Naik Farid Najafi Luigi Naldi Hae Sung Nam Naser Nasiri Javad Nazari Ionut Negoi Subas Neupane Polly A Newcomb Haruna Asura Nggada Josephine W Ngunjiri Cuong Tat Nguyen Leila Nikniaz Dina Nur Anggraini Ningrum Yirga Legesse Nirayo Molly R Nixon Chukwudi A Nnaji Marzieh Nojomi Shirin Nosratnejad Malihe Nourollahpour Shiadeh Mohammed Suleiman Obsa Richard Ofori-Asenso Felix Akpojene Ogbo In-Hwan Oh Andrew T Olagunju Tinuke O Olagunju Mojisola Morenike Oluwasanu Abidemi E Omonisi Obinna E Onwujekwe Anu Mary Oommen Eyal Oren Doris D V Ortega-Altamirano Erika Ota Stanislav S Otstavnov Mayowa Ojo Owolabi Mahesh P A Jagadish Rao Padubidri Smita Pakhale Amir H Pakpour Adrian Pana Eun-Kee Park Hadi Parsian Tahereh Pashaei Shanti Patel Snehal T Patil Alyssa Pennini David M Pereira Cristiano Piccinelli Julian David Pillay Majid Pirestani Farhad Pishgar Maarten J Postma Hadi Pourjafar Farshad Pourmalek Akram Pourshams Swayam Prakash Narayan Prasad Mostafa Qorbani Mohammad Rabiee Navid Rabiee Amir Radfar Alireza Rafiei Fakher Rahim Mahdi Rahimi Muhammad Aziz Rahman Fatemeh Rajati Saleem M Rana Samira Raoofi Goura Kishor Rath David Laith Rawaf Salman Rawaf Robert C Reiner Andre M N Renzaho Nima Rezaei Aziz Rezapour Ana Isabel Ribeiro Daniela Ribeiro Luca Ronfani Elias Merdassa Roro Gholamreza Roshandel Ali Rostami Ragy Safwat Saad Parisa Sabbagh Siamak Sabour Basema Saddik Saeid Safiri Amirhossein Sahebkar Mohammad Reza Salahshoor Farkhonde Salehi Hosni Salem Marwa Rashad Salem Hamideh Salimzadeh Joshua A Salomon Abdallah M Samy Juan Sanabria Milena M Santric Milicevic Benn Sartorius Arash Sarveazad Brijesh Sathian Maheswar Satpathy Miloje Savic Monika Sawhney Mehdi Sayyah Ione J C Schneider Ben Schöttker Mario Sekerija Sadaf G Sepanlou Masood Sepehrimanesh Seyedmojtaba Seyedmousavi Faramarz Shaahmadi Hosein Shabaninejad Mohammad Shahbaz Masood Ali Shaikh Amir Shamshirian Morteza Shamsizadeh Heidar Sharafi Zeinab Sharafi Mehdi Sharif Ali Sharifi Hamid Sharifi Rajesh Sharma Aziz Sheikh Reza Shirkoohi Sharvari Rahul Shukla Si Si Soraya Siabani Diego Augusto Santos Silva Dayane Gabriele Alves Silveira Ambrish Singh Jasvinder A Singh Solomon Sisay Freddy Sitas Eugène Sobngwi Moslem Soofi Joan B Soriano Vasiliki Stathopoulou Mu'awiyyah Babale Sufiyan Rafael Tabarés-Seisdedos Takahiro Tabuchi Ken Takahashi Omid Reza Tamtaji Mohammed Rasoul Tarawneh Segen Gebremeskel Tassew Parvaneh Taymoori Arash Tehrani-Banihashemi Mohamad-Hani Temsah Omar Temsah Berhe Etsay Tesfay Fisaha Haile Tesfay Manaye Yihune Teshale Gizachew Assefa Tessema Subash Thapa Kenean Getaneh Tlaye Roman Topor-Madry Marcos Roberto Tovani-Palone Eugenio Traini Bach Xuan Tran Khanh Bao Tran Afewerki Gebremeskel Tsadik Irfan Ullah Olalekan A Uthman Marco Vacante Maryam Vaezi Patricia Varona Pérez Yousef Veisani Simone Vidale Francesco S Violante Vasily Vlassov Stein Emil Vollset Theo Vos Kia Vosoughi Giang Thu Vu Isidora S Vujcic Henry Wabinga Tesfahun Mulatu Wachamo Fasil Shiferaw Wagnew Yasir Waheed Fitsum Weldegebreal Girmay Teklay Weldesamuel Tissa Wijeratne Dawit Zewdu Wondafrash Tewodros Eshete Wonde Adam Belay Wondmieneh Hailemariam Mekonnen Workie Rajaram Yadav Abbas Yadegar Ali Yadollahpour Mehdi Yaseri Vahid Yazdi-Feyzabadi Alex Yeshaneh Mohammed Ahmed Yimam Ebrahim M Yimer Engida Yisma Naohiro Yonemoto Mustafa Z Younis Bahman Yousefi Mahmoud Yousefifard Chuanhua Yu Erfan Zabeh Vesna Zadnik Telma Zahirian Moghadam Zoubida Zaidi Mohammad Zamani Hamed Zandian Alireza Zangeneh Leila Zaki Kazem Zendehdel Zerihun Menlkalew Zenebe Taye Abuhay Zewale Arash Ziapour Sanjay Zodpey Christopher J L Murray

JAMA Oncol 2019 12;5(12):1749-1768

Institute for Health Metrics and Evaluation, University of Washington, Seattle.

Importance: Cancer and other noncommunicable diseases (NCDs) are now widely recognized as a threat to global development. The latest United Nations high-level meeting on NCDs reaffirmed this observation and also highlighted the slow progress in meeting the 2011 Political Declaration on the Prevention and Control of Noncommunicable Diseases and the third Sustainable Development Goal. Lack of situational analyses, priority setting, and budgeting have been identified as major obstacles in achieving these goals. All of these have in common that they require information on the local cancer epidemiology. The Global Burden of Disease (GBD) study is uniquely poised to provide these crucial data.

Objective: To describe cancer burden for 29 cancer groups in 195 countries from 1990 through 2017 to provide data needed for cancer control planning.

Evidence Review: We used the GBD study estimation methods to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life-years (DALYs). Results are presented at the national level as well as by Socio-demographic Index (SDI), a composite indicator of income, educational attainment, and total fertility rate. We also analyzed the influence of the epidemiological vs the demographic transition on cancer incidence.

Findings: In 2017, there were 24.5 million incident cancer cases worldwide (16.8 million without nonmelanoma skin cancer [NMSC]) and 9.6 million cancer deaths. The majority of cancer DALYs came from years of life lost (97%), and only 3% came from years lived with disability. The odds of developing cancer were the lowest in the low SDI quintile (1 in 7) and the highest in the high SDI quintile (1 in 2) for both sexes. In 2017, the most common incident cancers in men were NMSC (4.3 million incident cases); tracheal, bronchus, and lung (TBL) cancer (1.5 million incident cases); and prostate cancer (1.3 million incident cases). The most common causes of cancer deaths and DALYs for men were TBL cancer (1.3 million deaths and 28.4 million DALYs), liver cancer (572 000 deaths and 15.2 million DALYs), and stomach cancer (542 000 deaths and 12.2 million DALYs). For women in 2017, the most common incident cancers were NMSC (3.3 million incident cases), breast cancer (1.9 million incident cases), and colorectal cancer (819 000 incident cases). The leading causes of cancer deaths and DALYs for women were breast cancer (601 000 deaths and 17.4 million DALYs), TBL cancer (596 000 deaths and 12.6 million DALYs), and colorectal cancer (414 000 deaths and 8.3 million DALYs).

Conclusions And Relevance: The national epidemiological profiles of cancer burden in the GBD study show large heterogeneities, which are a reflection of different exposures to risk factors, economic settings, lifestyles, and access to care and screening. The GBD study can be used by policy makers and other stakeholders to develop and improve national and local cancer control in order to achieve the global targets and improve equity in cancer care.
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http://dx.doi.org/10.1001/jamaoncol.2019.2996DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6777271PMC
December 2019

Socioeconomic status as the strongest predictor of self-rated health in Iranian population; a population-based cross-sectional study.

J Psychosom Res 2019 09 8;124:109775. Epub 2019 Jul 8.

School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia.

Background: There is little evidence comparing the role of subjective versus objective indicators of socioeconomic status (SES) on individuals' self-rated health (SRH) in Iran.

Objectives: We aimed to investigate underlying predictors of SRH including subjective and objective SES in Tehran, a multi-ethnic city.

Method: This is an analysis of cross-sectional survey data on subjective and objective SES from a population-based case-control study conducted in Tehran, Iran (2015). We used random digit dialing for study sample recruitment. Linear regression models were used for estimating crude and adjusted coefficients (95% confidence intervals). Age, gender, SES as well as cigarette smoking were included as confounders.

Results: 15-50 years old residents of Tehran were recruited in the study (n = 1057). High reported objective and subjective SES was consistently associated with a better SRH. Subjective current SES (p < .001), subjective adolescence SES (p = .018), change in subjective SES (current vs. adolescent) (p = .034) and participants' education years (p < .001). Improvements over time in current SES in comparison to SES rated during adolescence increased the participants' SRH after adjustment for potential confounders (coefficient = 0.170, 95% CI: (0.015, 0.325)). Female participants (coefficient = -0.305, 95% CI: (-0.418, -0.192)) and smokers (high category vs. never smokers) (coefficient = -0.456, 95% CI: (-0.714, -0.197)) reported significantly worse SRH. Increasing age - 0.008 (95% CI: -0.014, -0.002) was associated with decreased SRH.

Conclusion: High subjective and objective SES consistently was the most important predictor of high SRH.
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http://dx.doi.org/10.1016/j.jpsychores.2019.109775DOI Listing
September 2019

Lifetime prevalence and correlates of smoking behavior in Iranian adults' population; a cross-sectional study.

BMC Public Health 2019 Aug 6;19(1):1056. Epub 2019 Aug 6.

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Knowledge Utilization Research Center, Tehran University of Medical Science, Tehran, Iran.

Abstact: BACKGROUND: There are few if any reports concerning the joint use of waterpipe, cigarette and exposure to second-hand smoking in Tehran, Iran. Here, we simultaneously investigated the prevalence and predictors of smoking habits in Iranian adults.

Methods: In this population-based cross-sectional study, we recruited 1057 Iranian adults between August 2013 and February 2015, in Tehran, a multi-ethnic city. Participants were selected using random digit dialing. Three separate logistic regression models were applied to estimate the adjusted odds ratios (95% CI).

Results: Exposure to second-hand smoking was the most prevalent smoking type (37, 95% CI: 35-41%) followed by cigarette (23.9% (95% CI: 21-27%)) and water-pipe smoking (20.25% (95% CI: 18-23%)) in adults in Tehran. Almost 3.3 and 4.5% of adults reported three and two types of lifetime smoking behaviors, respectively. Age, sex, history of depression along with lifetime alcohol intake was the important predictors of all three types of smoking. Lifetime alcohol consumption was associated with increased prevalence of all three types of smoking (p for trend < 0.009). Lifetime drug abuse was also associated with increased prevalence of cigarette smoking (OR = 2.04, 95% CI: 1.61-2.59, p < 0.001).

Conclusions: Lifetime prevalence of waterpipe, cigarette and exposure to second-hand smoking is moderately high. Dual smoking behaviors are increasing in Iranian adults. An apparent age-related difference in pattern of waterpipe and cigarette smoking was observed. These findings highlight the need for further educational and preventive programs especially for dual smoking in Iranian young adults. This could provide practical information for evaluating and reforming the tobacco control programs and policies in Iran.
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http://dx.doi.org/10.1186/s12889-019-7358-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685175PMC
August 2019

The role of nutritional factors during adolescence in multiple sclerosis onset: a population-based incident case-control study.

Nutr Neurosci 2019 Jul 31:1-8. Epub 2019 Jul 31.

f Ingrid van der Mei: Menzies Institute for Medical Research, University of Tasmania , Australia.

The potential role of nutritional factors in multiple sclerosis (MS) etiology is not clearly understood. The authors investigated the association between dietary intake during adolescence with MS. This was a population-based incident case-control study in Iran with 547 incident cases and 1057 general population controls (7/8/2013-17/2/2015). Logistic regression was used to test differences in dietary intake between cases and controls adjusted for confounders. We found that a higher dietary consumption during adolescence of fresh fish, canned tuna, poultry, cheese, yogurt, butter, fruit, vegetables and a number of dietary supplements were associated with a significantly reduced risk of MS, while red meat, shrimp, and margarine were not associated with MS. Fresh fish had a dose-response association of 0.71 (0.58-0.88) per category increase, and consuming >0.5 serves of canned tuna fish per week had an OR of 0.72 (0.56-0.90); fruit intake had an OR of 0.82 (0.71-0.94) per category increase and cheese consumption an OR of 0.78 (0.67-0.91) per category increase. We identified that a higher intake of a number of food groups generally viewed as healthy were associated with a reduced risk of MS. A healthier diet during adolescence may be protective of developing MS.
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http://dx.doi.org/10.1080/1028415X.2019.1647689DOI Listing
July 2019

Methodologic and statistical considerations in the propensity score-matched case-control study of effects of antithrombotic therapy on delayed bleeding after gastric endoscopic resection.

Gastrointest Endosc 2019 07;90(1):167

Department of Epidemiology, School of Public Health, Arak University of Medical Sciences, Arak, Iran.

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http://dx.doi.org/10.1016/j.gie.2019.01.018DOI Listing
July 2019

Outcomes of endoscopic submucosal dissection for gastric epithelial neoplasm in chronic kidney disease patients: propensity score-matched case-control analysis, methodological and statistical issues.

Gastric Cancer 2019 07 18;22(4):904-905. Epub 2018 Dec 18.

Department of Epidemiology, School of Public Health, Arak University of Medical Sciences, Arak, Iran.

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http://dx.doi.org/10.1007/s10120-018-00914-8DOI Listing
July 2019

Medical History and Multiple Sclerosis: A Population-Based Incident Case-Control Study.

Neuroepidemiology 2019 26;52(1-2):55-62. Epub 2018 Nov 26.

Professor of Neurology, Jacobs School of Medicine and Biomedical Science, University of Buffalo, Buffalo, New York, USA.

Background: Consistent evidence regarding the potential role of medical history in multiple sclerosis (MS) etiology is lacking.

Objective: The association of medical history variables, that is, head injury and 9 autoimmune diseases with MS onset was investigated.

Methods: This was a population-based incident case-control study in Iran with 547 incident cases and 1,057 general population controls (August 7, 2013 - February 17, 2015). Multiple logistic regression models were used for estimating the adjusted ORs.

Results: Lifetime history of head trauma was not significantly associated with risk of MS after adjustment for well-known confounders (OR 1.24 [0.93-1.66, p = 0.14]). Similarly, there was no statistically significant association between cumulative numbers of head injury and MS (OR 1.02 [0.90-1.15, p = 0.79]). A history of autoimmune disease did not increase the risk of MS (p > 0.1). Similarly, the cumulative number of autoimmune diseases is not significantly associated with the risk of MS (p > 0.70).

Conclusion: Lifetime histories of head trauma as well as 9 investigated autoimmune diseases are not associated with increased risk of MS.
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http://dx.doi.org/10.1159/000494257DOI Listing
December 2019

Stress-full life events and multiple sclerosis: A population-based incident case-control study.

Mult Scler Relat Disord 2018 Nov 22;26:168-172. Epub 2018 Sep 22.

Jacobs School of Medicine and Biomedical Science, University of Buffalo, NY, USA.

Aim: While sizeable evidence regarding the association between stressful-life events and multiple sclerosis (MS) disease activity (clinical and/or radiological) was previously documented, their relation to MS risk is controversial. We aimed to investigate the possible association of stressful-life events and multiple sclerosis risk after adjustment for relevant confounders in an Iranian population.

Method: This was a population-based incident case-control study that recruited 547 MS cases and 1057 healthy controls between August 2013 and February 2015, Tehran. The patients were identified using the Iranian MS Society based on 2010 McDonald criteria. We used standard random digit dialing protocol for control selection. Logistic regression model was applied to estimate the odds ratios (95% CI) adjusted for physical activity, age, gender, tobacco smoking, waterpipe smoking and passive smoking.

Results: While total life events number was not associated with risk of MS, homeless periods OR 3.85 (1.65-8.90), p = 0.002 as well as divorce OR 2.11 (1.24-3.58), p = 0.005 increased the risk of MS. However, marriage OR 0.59 (0.41-0.86), p = 0.006, death of ones' dear OR 0.60 (0.44-0.82), p = 0.002 and joblessness OR 0.61 (0.41-0.91) reduced the risk of MS.

Conclusion: We could not detect a statistically significant role for the total stressful life event during the last 3 years and MS diagnosis. However, there is some evidence confirming the possible role of some individual life events, i.e. divorce and periods of homelessness as potential risk factors for MS and conversely, having married as a protective factor in MS onset.
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http://dx.doi.org/10.1016/j.msard.2018.09.026DOI Listing
November 2018

No association between socioeconomic status and risk of multiple sclerosis: A population-based incident case-control study in a developing country.

Mult Scler Relat Disord 2018 Oct 23;25:292-296. Epub 2018 Aug 23.

Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.

Background: Evidence on the association between socioeconomic status (SES) and multiple sclerosis (MS) is inconsistent. We examined the association of several indicators of SES with MS in an Iranian population.

Methods: We conducted a population-based incident case-control study with 547 incident cases and 1057 general population controls in Iran, 2015. Data was collected using telephone interviews and indicators of SES i.e. parental education, and household SES during adolescence using asset variables. Adjusted odds ratios (AORs) were estimated using multiple logistic regression model.

Results: Parental education levels were not significantly associated with MS development. Household SES during adolescence was insignificantly associated with an increased risk of MS diagnosis (P = 0.575).

Conclusion: We did not identify an association between household SES during adolescence, parental education levels, and a subsequent risk of developing MS in an Iranian population.
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http://dx.doi.org/10.1016/j.msard.2018.08.019DOI Listing
October 2018

Subclinical hypothyroidism is associated with migraine: A case-control study; methodological and statistical issues.

Cephalalgia 2019 01 27;39(1):161. Epub 2018 May 27.

2 Social Development and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.

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http://dx.doi.org/10.1177/0333102418779542DOI Listing
January 2019

Estimating the Marginal Causal Effect of Fish Consumption during Adolescence on Multiple Sclerosis: A Population-Based Incident Case-Control Study.

Neuroepidemiology 2018 7;50(3-4):111-118. Epub 2018 May 7.

Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec, Canada.

Background: Adolescence is considered as a critical time period in multiple sclerosis (MS) etiology. Nonetheless, there are insufficient reports regarding the potential role of fresh and canned fish consumptions during adolescence in MS etiology. The authors investigated the association between fresh and canned fish consumptions and MS.

Methods: This was a population-based incident case-control study conducted in Tehran. Cases (n = 547) identified from Iranian Multiple Sclerosis Society between August 7, 2013, and November 17, 2015 were included in the study. Population-based controls (n = 1,057) were recruited by random digit telephone dialing without any matching. Inverse-probability-of-treatment weighing (IPTW) using 2 sets of propensity scores and model-based standardization were used to separately estimate the marginal odds ratio between fresh and canned fish consumptions in adolescence and MS.

Results: The marginal OR for fresh fish was 0.72 (95% CI 0.58-0.90; p = 0.005) in both IPTW analyses. Similarly, the marginal OR for canned fish consumption was 0.75 (95% CI 0.60-0.95; p = 0.014).The model-based standardized OR was 0.72 (95% CI 0.58-0.91; p = 0.008) for fresh and 0.73 (95% CI 0.59-0.94; p = 0.006) for canned fish consumption in adolescence.

Discussion: Subject to limitation of case-control studies in interpreting associations causally, this study suggests that both fresh and canned fish consumptions in adolescence can decrease the risk of MS.
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http://dx.doi.org/10.1159/000487640DOI Listing
September 2019

Estimation of the marginal effect of regular drug use on multiple sclerosis in the Iranian population.

PLoS One 2018 24;13(4):e0196244. Epub 2018 Apr 24.

Department of Family Medicine, McGill University, Montréal, Quebec, Canada.

There are only few reports regarding the role of lifetime drug or substance use in multiple sclerosis (MS) etiology. In this study, we investigated the potential effect of drug or substance exposure on the onset of MS diagnosis. We conducted a population-based incident case control study in Tehran. Cases (n = 547) were 15-50 years old persons with MS identified from the Iranian Multiple Sclerosis Society (IMSS) register during August 7, 2013, and November 17, 2015. Population-based controls (n = 1057) were 15-50 years old and were recruited by random digit telephone dialing. Inverse-probability-of-treatment weighing (IPTW) using two sets of propensity scores (PSs) was used to estimate marginal incidence odds ratios (ORs) for MS contrasting pre-specified substance use. The estimated marginal OR was 6.03 (95% confidence interval: 3.54;10.3, using trimmed weights at the 95th percentile of the stabilized weight distribution) in both IPTW analyses comparing lifetime substance use (opioids, cannabis, inhalants, hallucinogens and stimulants) for at least one time monthly during a six-months or longer period vs. no such history of drug use. Subject to limitation of causal claims based on case-control studies, this study suggests that monthly drug or substance use for a period of at least six consecutive months, may increase the risk of MS by factor 3.5 or higher.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0196244PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5916854PMC
July 2018

Lifestyle factors and multiple sclerosis: A population-based incident case-control study.

Mult Scler Relat Disord 2018 May 31;22:128-133. Epub 2018 Mar 31.

Ingrid van der Mei: Menzies Institute for Medical Research, University of Tasmania, Australia.

Objective: Although low sun exposure, low vitamin D, and smoking are established risk factor of multiple sclerosis (MS), there is less evidence on the role of the other lifestyle factors. We examined the association of sun exposure, physical activity, drug abuse, and alcohol intake with MS.

Materials And Methods: This was population-based incident case-control study in Iran with 547 incident cases and 1057 general population controls (7/8/2013-17/2/2015). Logistic regression was used to analyse the data.

Results: Higher sun exposure during adolescence was associated with a reduced risk of MS, both in summer (test for trend p < 0.001) and winter (P < 0.001), while physical activity was not associated with MS (test for trend p = 0.712). Lifetime drug abuse (OR for ever use 2.93 (1.83-4.70)), with a dose-response association (test for trend p < 0.001), and alcohol intake (OR for ever use 1.49 (1.05-2.12)) was significantly associated with an increased risk of MS.

Conclusion: In a middle-eastern setting, we found that sun exposure during adolescence, drug abuse, and alcohol use were all associated with MS. Increasing sun exposure and reducing drug abuse and the use of alcohol through educational programs is likely to reduce the rate of MS.
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http://dx.doi.org/10.1016/j.msard.2018.03.022DOI Listing
May 2018

Developing an adherence in hypertension questionnaire short version: MUAH-16-statistical and methodological issues.

J Clin Hypertens (Greenwich) 2018 04 25;20(4):816. Epub 2018 Mar 25.

Department of Epidemiology, School of Public Health, Arak University of Medical Sciences, Arak, Iran.

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http://dx.doi.org/10.1111/jch.13250DOI Listing
April 2018

Environmental risk factors in neuromyelitis optica spectrum disorder: a case-control study.

Acta Neurol Belg 2018 Jun 2;118(2):277-287. Epub 2018 Mar 2.

MS Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.

Neuromyelitis optica spectrum disorder (NMOSD) has unknown risk factors. The aim of this study was to identify the environmental risk factors for NMOSD. A case-control study was conducted in Tehran from 2015 to 2016 among 100 patients with NMOSD. Sex-matched healthy controls (n = 400) were selected through random digit dialing (RDD). Logistic regression was used to estimate unadjusted and adjusted ORs (odds ratio) at 95% confidence intervals (CI) via SPSS. Compared with the control population, in NMOSD patients, the adjusted OR for low dairy consumption per week was (OR = 18.09; 95% CI 6.91, 47.37), following low sea food intake (OR = 13.91; 95% CI 6.13, 31.57) and low fruit and vegetable consumption (OR = 6.23; 95% CI 3.07, 12.62). The lower heavy physical activity (OR: 16.11, 95% CI 7.03, 36.91) among patients had risen the risk of NMOSD. A past history of head trauma was considered a risk for NMOSD (OR: 8.39, 95% CI 4.97, 14.16). The association between NMOSD and intentional abortion only among females (OR: 7.42, 95% CI 2.81, 19.55) was detected. This study indicates significant associations between dietary habits, life style, history of head trauma and intentional abortion in female and the later diagnosis of NMOSD.
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http://dx.doi.org/10.1007/s13760-018-0900-5DOI Listing
June 2018

Uncovering the link between reproductive factors and multiple sclerosis: A case-control study on Iranian females.

Mult Scler Relat Disord 2018 Feb 20;20:164-168. Epub 2018 Mar 20.

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Iran. Electronic address:

Background: Increase of MS prevalence in females compared to males, especially in reproductive age, highlights the important role of reproductive factors in MS pathology.

Objectives: We examined the association between females' reproductive age-related factors and MS risk.

Methods: A case-control study including 399 cases and 541 controls was carried out. The adjusted associations between MS risk and reproductive variables including age at menarche, oral contraceptive pills (OCPs) use history, OCP usage duration and age at first use, history of assisted reproductive technologies (ARTs) use, parity history, age at first childbirth and the number of parities, abortion and exclusive breast feeding > 2 months were assessed.

Results: We found protective relationships between MS and older age at menarche (OR = 0.90 {95% CI = 0.82-0.98}), ART use history (OR = 0.45 {95% CI = 0.21-0.99}), older maternal age at first childbirth (OR = 0.94{95% CI = 0.89 - 0.99}) and higher number of parities(OR = 0.61 {95% CI = 0.49 - 0.75), whereas using OCPs was associated with higher risk of developing MS (OR = 1.80 {95% CI = 1.35-2.41}).

Conclusions: Links were noted between a number of reproductive factors and risk of MS.
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http://dx.doi.org/10.1016/j.msard.2018.01.019DOI Listing
February 2018

Parental ethnicity associated with risk for multiple sclerosis: A population-based incident case-control study in Iran.

Mult Scler Relat Disord 2018 Feb 31;20:100-103. Epub 2018 Jan 31.

Institutes of Regional Health Research and of Molecular Medicine, University of Southern Denmark, Denmark.

Background: The epidemiology of multiple sclerosis (MS) includes a consideration of geography and population ethnicity. To determine whether there is any association between ethnicity and risk of MS in a multiethnic, population-based case-control study.

Methods: We conducted a population-based case-control of 547 incident MS cases and 1057 healthy controls between August 2013 and February 2015, Tehran, a multi-ethnic city. The patients were identified and enrolled through the Iranian MS Society. Case status was confirmed by a panel of MS specialists beside of 2010 McDonald criteria. Controls were selected through random digit dialing. A logistic regression model was applied to estimate the odds ratios (95%CI) adjusted for age, sex, tobacco smoking and socioeconomic status.

Results: The risk of MS for Kurd, Turk and Fars ethnicities was apparently smaller compared to one specific ethnic background (Lor); OR 0.36 (0.15-0.86) for Kurd, OR 0.42 (0.24-0.74) for Turk and OR 0.53 (0.31-0.89) for Fars. Heterogeneity in parental ethnicity of common ethnic groups was significantly associated with increased risk of MS OR 1.61 (1.13-2.29). All associations remained after adjustment for relevant confounders.

Conclusions: MS was unequally distributed in the ethnic groups. Moreover, heterogeneity in parental ethnicity seems to be a risk factor for MS.
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http://dx.doi.org/10.1016/j.msard.2018.01.008DOI Listing
February 2018

Positive Aspects of Caregiving and Caregiver Burden: A Study of Caregivers of Patients With Dementia.

J Geriatr Psychiatry Neurol 2018 Jan 29;31(1):34-38. Epub 2017 Nov 29.

3 Department of Epidemiology, School of Public Health, Kermanshah University of Medical Science, Kermanshah, Iran.

Background: Now positive aspect of caregiving (PAC) is well-defined as caregiver gains, satisfaction, meaningful life, and enhanced family relationship. The adjusted association of PAC and caregiver burden is not well acknowledged. This study investigated the association of caregiver burden and PAC adjusting for potential confounders.

Methods: This was a cross-sectional study that recruited 132 caregivers. A linear regression model with PAC was used to estimate the adjusted associations.

Results: The caregiver burden was negatively associated with PAC (mean difference in PAC per a 1-unit increase in caregiver burden = -0.12, 95% confidence interval: -0.18 to -0.056; P < .001). This association remained after adjustment for caregivers' age and marital status as well as patients' dependency level.

Conclusion: The negative significant association of caregiver burden with PAC reinforces the need for interventional and/or educational programs aiming at decreasing the overall imposed burden. This can play an important role in improving caregivers' general health and quality of life.
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http://dx.doi.org/10.1177/0891988717743590DOI Listing
January 2018

Comparing epidemiology and baseline characteristic of multiple sclerosis and neuromyelitis optica: A case-control study.

Mult Scler Relat Disord 2017 Feb 6;12:39-43. Epub 2017 Jan 6.

MS Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran. Electronic address:

Background: Autoimmune syndromes such as Multiple Sclerosis (MS) and Neuromyelitis Optica (NMO) are chronic, demyelinating diseases of the central nervous system which usually affect young adults. Both environmental risk factors and genetic susceptibility have been proposed to explain the etiology of these diseases. The aim of this study was to compare epidemiology and possible risk factors in MS and NMO in Tehran, Iran.

Method: A population-based incident case-control study was performed in Tehran based on a study conducted on1513 MS patients from Iranian MS Society registry center of Tehran, from 2014 to 2015, and 83 NMO patients diagnosed with NMO in 2015 at Sina hospital, a tertiary care referral center in Tehran. The random digit dialing (RDD) methods were established to select 400 population-based controls. A checklist was designed to cover the epidemiological variables to estimate the possible risk factors for MS and NMO based on a questionnaire designed for multinational case-control studies of environmental risk factors in multiple sclerosis. Structured face to face interviews with cases, and telephone interviews with controls were conducted by trained interviewers to collect data. The multiple logistic regression analysis was done via SPSS package.

Results: The adjusted odds ratio (OR) estimate of MS for females compared to males was (OR =1.47; 95% CI: 1.12, 1.95), and it was (OR=1.54; 95% CI: 1.17, 2.02) for people aged 18-27 years compared to younger ones aged 28-37 years. The adjusted OR estimate of NMO for people aged over 48 years compared to those aged 28-37 years was (OR=3.49; 95% CI: 1.59, 7.64). The point estimates were greater than eight-fold increased risk associated with MS among patients with a positive familial history 8.80 (95% CI: 4.10, 18.90).

Conclusion: The results of this study reveal that the risk of MS is significantly higher in female and younger people in comparison to NMO. Having positive family history of MS can increase the risk of MS substantially. The findings of the study indicated that factors that predict susceptibility to MS, including a positive history of MS in relatives, do not appear to have any association with NMO.
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http://dx.doi.org/10.1016/j.msard.2017.01.004DOI Listing
February 2017

Positive Aspects of Caregiving Questionnaire.

J Geriatr Psychiatry Neurol 2017 Mar 12;30(2):77-83. Epub 2017 Jan 12.

3 Department of Epidemiology and Biostatistics, School of Public Health, Knowledge Utilization Research Center, Tehran University of Medical Science, Tehran, Iran.

Objective: The potential role of positive aspects of caregiving in enhancing caregivers' health is an important issue. The aim of this study was to develop and validate Positive Aspects of Caregiving Questionnaire (PACQ) in caregivers of patients with dementia in Iran.

Methods: Content validation process was used to content valid development. Cronbach α and intraclass correlation coefficient (ICC) were calculated as reliability indices. We used exploratory factor analysis to extract potential latent factors and evaluate the factor structure of PACQ. We assess correlation between PACQ and caregiver burden for divergent validity. For convergent validity, correlation between PACQ and self-rated health was specified.

Results: Content validity indices (CVIs), internal consistency, and test-retest reliability were CVI > 0.80, α = 0.785, and ICC = 0.905, respectively. Moreover, item-total correlations confirmed good reliability of PACQ. Two factors were identified by factor analysis in this 10-item measure: patient and caregiver relationship and caregiver's psychological well-being. Divergent validity and convergent validity were established by high negative correlation between positive aspect of caregiving (PAC) and caregiver burden along with significant positive correlation between PAC and self-rated health, respectively. While Cronbach α for the entire scale was 0.785, Cronbach αs for both of the scale components were 0.71.

Conclusion: The PACQ demonstrated acceptable psychometric properties of reliability and performs well in preliminary tests of validity as a measure of positive aspects of caregiving. This measure can be used to determine the outcome of interventional programs on positive, not only negative, aspect of caregiving.
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http://dx.doi.org/10.1177/0891988716686831DOI Listing
March 2017

Impact of IgE-mediated Food Allergy on Parental Quality of Life in Iranian Patients.

Iran J Allergy Asthma Immunol 2016 Oct;15(5):372-380

Department of Allergy and Clinical Immunology, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.

Food allergy is a common disorder especially in the first years of life. Strict avoidance of the responsible food is the most effective therapeutic measure so far. But this continuous vigilance could be stressful for the patient and family and decreases their quality of life (QOL). This survey was designed to evaluate the impact of IgE-mediated food allergy on parental QOL in Iranian patients and to develop a valid Persian version of "Food Allergy Quality Of Life- Parental Burden (FAQL-PB) questionnaire". 90 patients (28 females, 62 males) and their parents who were referred to the clinic of Allergy in Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran were enrolled. The questionnaire was translated with scientific method and its reliability was approved in a pilot study (ICC=0.75, cronbach-α=0.90). Among all patients the most common allergens were wheat (60%) and cow's milk (42%). The patient's age (p=0.02), parent's gender (p=0.004), mother's age (p=0.02), duration of the disease (p=0.048), and allergen multiplicity (p=0.004) were found to have the most significant correlation with family and social activity (FSA) domain. The most meaningful associations were achieved between parent's gender (p<0.001) and emotional issues (EM); as well as meal preparation (MP) with patient's age (p=0.02), parent's gender (p<0.0001) and also allergen multiplicity (p= 0.003); likewise nutrition and health concern (NH) domain with parent's gender (p<0.001). Anaphylaxis's history did not place any burden on each domain. It was concluded that presence of food allergic patients in families could considerably affect all domains of QOL.
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October 2016

Waterpipe smoking associated with multiple sclerosis: A population-based incident case-control study.

Mult Scler 2017 Sep 12;23(10):1328-1335. Epub 2016 Nov 12.

Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia.

Background: While cigarette and passive smoking have been identified as modifiable risk factors for multiple sclerosis (MS), there is no report regarding Waterpipe smoking-MS association.

Objective: We examined the association of Waterpipe, tobacco, and passive smoking with MS.

Methods: Population-based incident case-control study in Iran with 547 incident cases and 1057 general population controls (7 August 2013-17 February 2015). Logistic regression model was used. Multiplicative along with additive interaction was assessed using product term and Synergy Index (SI), respectively, and the population attributable fractions (PAFs) were calculated.

Results: Having ever smoked Waterpipe, tobacco, or being exposed to passive smoking were all significantly associated with MS (odds ratio (OR) = 1.77 (1.36-2.31), OR = 1.69 (1.24-2.31), and OR = 1.85 (1.48-2.32), respectively). Clear dose-response associations were observed with the duration exposed ( p < 0.001 for all three) and the amount smoked ( p < 0.001 for Waterpipe and tobacco). Those who had all three types of smoking had an odds that was 4.1 times higher than those without any type. The three types of smoking jointly contributed to 30.9% of the MS incidence.

Conclusion: We identified Waterpipe smoking as a novel risk factor for MS. Given the global increase in Waterpipe smoking, especially among young adults, this finding reinforces the need for public health interventional and educational programs to combat this global increase.
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http://dx.doi.org/10.1177/1352458516677867DOI Listing
September 2017

Emotional Intelligence: A Comparison between Medical and Non-Medical Students.

Iran J Public Health 2016 Feb;45(2):214-22

Dept. of Epidemiology and Biostatistics, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Background: Emotional intelligence (EI) has recently been considered as one of the necessary elements for success and achievement in medical fields. The present study was conducted in Iran to compare the EI in medical and non-medical students adjusted for the other relevant factors.

Methods: This cross-sectional study was conducted from October 2011 to January 2012 on 872 students of medicine, paramedical and non-medical groups in Tehran University and Tehran University of Medical Sciences, Tehran, Iran selected by multi-stage weighted cluster sampling. The Farsi version of revised Schutte Emotional Intelligence (FEIS) was used to estimate emotional intelligence.

Results: The mean of total EI was equal to 124.9 (SD=8.4) out of 205 and the means for its dimensions were as follows: regulation of emotions 39.3 (SD=5.1), utilization of emotions 26.7 (SD=3.6) and appraisal of emotions 33.5 (SD=5.3). While the paramedical and non-medical students' total EI score was significantly higher than the medical students', in the utilization of emotions dimension, the medical students scored significantly higher than the other two groups.

Conclusion: The lower levels of the medical students' total EI score in comparison with paramedical and non-medical students in this study demands the relevant authorities to pay even more attention to the selection and training of medical students.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4841876PMC
February 2016