24 results on '"Niknam, Mahdieh"'
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2. Improving community readiness among Iranian local communities to prevent childhood obesity
- Author
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Niknam, Mahdieh, Omidvar, Nasrin, Eini-Zinab, Hassan, Kalantari, Naser, Olazadeh, Keyvan, and Amiri, Parisa
- Published
- 2023
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3. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
- Author
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Vollset, Stein Emil, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abd Al Magied, Abdallah H A, Abd ElHafeez, Samar, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Absalan, Abdorrahim, Abualruz, Hasan, Abubakar, Bilyaminu, Abukhadijah, Hana Jihad Jihad, Addolorato, Giovanni, Adekanmbi, Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adha, Rishan, Adhikary, Ripon Kumar, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afrashteh, Fatemeh, Afzal, Muhammad Sohail, Afzal, Saira, Agbozo, Faith, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahlstrom, Austin J, Ahmad, Aqeel, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmed, Anisuddin, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Safoora, Ahmed, Syed Anees, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Akrami, Ashley E, Akter, Ema, Al Awaidy, Salah, Al Hasan, Syed Mahfuz, Al Mosa, Amjad S, Al Ta'ani, Omar, Al Zaabi, Omar Ali Mohammed, Alahdab, Fares, Alajlani, Muaaz M, Al-Ajlouni, Yazan, Alalalmeh, Samer O, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alam, Zufishan, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albakri, Almaza, Aldhaleei, Wafa A, Aldridge, Robert W, Alemohammad, Seyedeh Yasaman, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Iman, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Ali, Victor Ekoche, Ali, Waad, Al-Ibraheem, Akram, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Alla, François, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Alqutaibi, Ahmed Yaseen, Alrawashdeh, Ahmad, Alrousan, Sahel Majed, Al-Sabah, Salman Khalifah, Alsabri, Mohammed A, Altaany, Zaid, Al-Tammemi, Ala'a B., Al-Tawfiq, Jaffar A, Altirkawi, Khalid A, Aluh, Deborah Oyine, Alvis-Guzman, Nelson, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Hany, Alyahya, Mohammad Sharif, Alzoubi, Karem H, Al-Zyoud, Walid, Amani, Reza, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Andrei, Tudorel, Andrews, Erick Adrian, Anil, Abhishek, Anil, Sneha, Anoushiravani, Amir, Antony, Catherine M, Antriyandarti, Ernoiz, Anuoluwa, Boluwatife Stephen, Anvari, Saeid, Anyasodor, Anayochukwu Edward, Appiah, Francis, Aquilano, Michele, Arab, Juan Pablo, Arabloo, Jalal, Arafa, Elshaimaa A, Arafat, Mosab, Aravkin, Aleksandr Y, Ardekani, Ali, Areda, Demelash, Aregawi, Brhane Berhe, Aremu, Abdulfatai, Ariffin, Hany, Arkew, Mesay, Armani, Keivan, Artamonov, Anton A, Arumugam, Ashokan, Asghari-Jafarabadi, Mohammad, Ashbaugh, Charlie, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Aujayeb, Avinash, Ausloos, Marcel, Awad, Hamzeh, Awotidebe, Adedapo Wasiu, Ayatollahi, Haleh, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azeez, Fahad Khan, Azevedo, Rui M S, Badar, Muhammad, Baghdadi, Soroush, Bagheri, Mahboube, Bagheri, Nasser, Bai, Ruhai, Baker, Jennifer L, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Balcha, Wondu Feyisa, Baltatu, Ovidiu Constantin, Barchitta, Martina, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barqawi, Hiba Jawdat, Barteit, Sandra, Basiru, Afisu, Basso, João Diogo, Bastan, Mohammad-Mahdi, Basu, Sanjay, Bauckneht, Matteo, Baune, Bernhard T, Bayati, Mohsen, Bayileyegn, Nebiyou Simegnew, Behnoush, Amir Hossein, Behzadi, Payam, Beiranvand, Maryam, Bello, Olorunjuwon Omolaja, Belo, Luis, Beloukas, Apostolos, Bemanalizadeh, Maryam, Bensenor, Isabela M, Benzian, Habib, Beran, Azizullah, Berezvai, Zombor, Bernstein, Robert S, Bettencourt, Paulo J G, Beyene, Kebede A, Beyene, Melak Gedamu, Bhagat, Devidas S, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bharadwaj, Ravi, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhattacharjee, Natalia V, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhuiyan, Mohiuddin Ahmed, Bisignano, Catherine, Biswas, Bijit, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bonakdar Hashemi, Milad, Bora Basara, Berrak, Borhany, Hamed, Bosoka, Samuel Adolf, Botero Carvajal, Alejandro, Bouaoud, Souad, Boufous, Soufiane, Boxe, Christopher, Boyko, Edward J, Brady, Oliver J, Braithwaite, Dejana, Brauer, Michael, Brazo-Sayavera, Javier, Brenner, Hermann, Brown, Colin Stewart, Browne, Annie J, Brugha, Traolach, Bryazka, Dana, Bulamu, Norma B, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Çakmak Barsbay, Mehtap, Calina, Daniela, Campos, Luciana Aparecida, Cao, Shujin, Capodici, Angelo, Cárdenas, Rosario, Carreras, Giulia, Carugno, Andrea, Carvalho, Márcia, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Cattaruzza, Maria Sofia, Caye, Arthur, Cegolon, Luca, Cembranel, Francieli, Cenko, Edina, Cerin, Ester, Chadban, Steven J, Chadwick, Joshua, Chakraborty, Chiranjib, Chakraborty, Sandip, Chalek, Julian, Chan, Jeffrey Shi Kai, Chandika, Rama Mohan, Chandy, Sara, Charan, Jaykaran, Chaudhary, Anis Ahmad, Chaurasia, Akhilanand, Chen, An-Tian, Chen, Haowei, Chen, Meng Xuan, Chen, Simiao, Cherbuin, Nicolas, Chi, Gerald, Chichagi, Fatemeh, Chimed-Ochir, Odgerel, Chimoriya, Ritesh, Ching, Patrick R, Chirinos-Caceres, Jesus Lorenzo, Chitheer, Abdulaal, Cho, Daniel Youngwhan, Cho, William C S, Choi, Dong-Woo, Chong, Bryan, Chong, Chean Lin, Chopra, Hitesh, Chu, Dinh-Toi, Chung, Eric, Chutiyami, Muhammad, Clayton, Justin T, Cogen, Rebecca M, Cohen, Aaron J, Columbus, Alyssa, Comfort, Haley, Conde, Joao, Connolly, Jon T, Cooper, Ezra E K, Cortese, Samuele, Cruz-Martins, Natália, da Silva, Alanna Gomes, Dadras, Omid, Dai, Xiaochen, Dai, Zhaoli, Dalton, Bronte E, Damiani, Giovanni, Dandona, Lalit, Dandona, Rakhi, Das, Jai K, Das, Saswati, Das, Subasish, Dash, Nihar Ranjan, Davletov, Kairat, De la Hoz, Fernando Pio, De Leo, Diego, Debopadhaya, Shayom, Delgado-Enciso, Ivan, Denova-Gutiérrez, Edgar, Dervenis, Nikolaos, Desai, Hardik Dineshbhai, Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman, Dhama, Kuldeep, Dhane, Amol S, Dhingra, Sameer, Dias da Silva, Diana, Diaz, Daniel, Diaz, Luis Antonio, Diaz, Michael J, Dima, Adriana, Ding, Delaney D, Do, Thao Huynh Phuong, do Prado, Camila Bruneli, Dodangeh, Masoud, Dodangeh, Milad, Doegah, Phidelia Theresa, Dohare, Sushil, Dong, Wanyue, D'Oria, Mario, Doshi, Rajkumar, Dowou, Robert Kokou, Dsouza, Haneil Larson, Dsouza, Viola, Dube, John, Dumith, Samuel C, Duncan, Bruce B, Duraes, Andre Rodrigues, Duraisamy, Senbagam, Durojaiye, Oyewole Christopher, Dushpanova, Anar, Dutta, Sulagna, Dzianach, Paulina Agnieszka, Dziedzic, Arkadiusz Marian, Eboreime, Ejemai, Ebrahimi, Alireza, Ebrahimi Kalan, Mohammad, Edinur, Hisham Atan, Efendi, Ferry, Eikemo, Terje Andreas, Eini, Ebrahim, Ekundayo, Temitope Cyrus, El Arab, Rabie Adel, El Sayed, Iman, Elamin, Osman, Elemam, Noha Mousaad, ElGohary, Ghada Metwally Tawfik, Elhadi, Muhammed, Elmeligy, Omar Abdelsadek Abdou, Elmoselhi, Adel B, Elshaer, Mohammed, Elsohaby, Ibrahim, Eltahir, Mohd. Elmagzoub, Emeto, Theophilus I, Eshrati, Babak, Eslami, Majid, Esmaeili, Zahra, Fabin, Natalia, Fagbamigbe, Adeniyi Francis, Fagbule, Omotayo Francis, Falzone, Luca, Fareed, Mohammad, Farinha, Carla Sofia e Sá, Faris, MoezAlIslam Ezzat Mahmoud, Faro, Andre, Fasihi, Kiana, Fatehizadeh, Ali, Fauk, Nelsensius Klau, Fazylov, Timur, Feigin, Valery L, Fekadu, Ginenus, Feng, Xiaoqi, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, Ferreira, Nuno, Firew, Belete Sewasew, Fischer, Florian, Fitriana, Ida, Flavel, Joanne, Flor, Luisa S, Folayan, Morenike Oluwatoyin, Foley, Kristen Marie, Fonzo, Marco, Force, Lisa M, Foschi, Matteo, Freitas, Alberto, Fridayani, Ni Kadek Yuni, Fukutaki, Kai Glenn, Furtado, João M, Fux, Blima, Gaal, Peter Andras, Gadanya, Muktar A, Gallus, Silvano, Ganesan, Balasankar, Ganiyani, Mohammad Arfat, Gautam, Rupesh K, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Getacher, Lemma, Getahun, Genanew K A, Gething, Peter W, Ghadimi, Delaram J, Ghadirian, Fataneh, Ghafarian, Sadegh, Ghailan, Khalid Yaser, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghazy, Ramy Mohamed, Ghoba, Sama, Gholami, Ehsan, Gholamrezanezhad, Ali, Gholizadeh, Nasim, Ghorbani, Mahsa, Ghorbani Vajargah, Pooyan, Ghotbi, Elena, Gil, Artyom Urievich, Gill, Tiffany K, Girmay, Alem, Glasbey, James C, Glushkova, Ekaterina Vladimirovna, Gnedovskaya, Elena V, Göbölös, Laszlo, Goldust, Mohamad, Goleij, Pouya, Golinelli, Davide, Gopalani, Sameer Vali, Goulart, Alessandra C, Gouravani, Mahdi, Goyal, Anmol, Grivna, Michal, Grosso, Giuseppe, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Guicciardi, Stefano, Guimarães, Rafael Alves, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Rahul, Gupta, Rajeev, Gupta, Renu, Gupta, Sapna, Gupta, Vijai Kumar, Haakenstad, Annie, Hadi, Najah R, Haep, Nils, Hafiz, Abdul, Haghmorad, Dariush, Haile, Demewoz, Hajj Ali, Adel, Hajj Ali, Ali, Haj-Mirzaian, Arvin, Halboub, Esam S, Haller, Sebastian, Halwani, Rabih, Hamagharib Abdullah, Kanaan, Hamdy, Nadia M, Hamoudi, Rifat, Hanifi, Nasrin, Hankey, Graeme J, Haq, Zaim Anan, Haque, Md Rabiul, Harapan, Harapan, Hargono, Arief, Haro, Josep Maria, Hasaballah, Ahmed I, Hasan, S. M. Mahmudul, Hasanian, Mohammad, Hasnain, Md Saquib, Hassan, Amr, Haubold, Johannes, Hay, Simon I, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Mohammad, Hemmati, Mehdi, Henson, Claire A, Herrera-Serna, Brenda Yuliana, Herteliu, Claudiu, Heydari, Majid, Hezam, Kamal, Hidayana, Irma, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hu, Chengxi, Huang, Junjie, Hultström, Michael, Hundie, Tsegaye Gebreyes, Hunt, Aliza J, Hushmandi, Kiavash, Hussain, Javid, Hussain, M. Azhar, Hussein, Nawfal R, Huynh, Hong-Han, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ikiroma, Adalia I, Ikwegbue, Paul Chukwudi, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Isa, Mustafa Alhaji, Islam, Md. Rabiul, Islam, Sheikh Mohammed Shariful, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Iyamu, Ihoghosa Osamuyi, Jacob, Louis, Jacobsen, Kathryn H, Jafarinia, Morteza, Jahankhani, Kasra, Jahanmehr, Nader, Jain, Nityanand, Jairoun, Ammar Abdulrahman, Jakhmola Mani, Dr Ruchi, Jamil, Safayet, Jamora, Roland Dominic G, Jatau, Abubakar Ibrahim, Javadov, Sabzali, Javaheri, Tahereh, Jayaram, Shubha, Jee, Sun Ha, Jeganathan, Jayakumar, Jiang, Heng, Jokar, Mohammad, Jonas, Jost B, Joseph, Nitin, Joshua, Charity Ehimwenma, Jürisson, Mikk, K, Vaishali, Kabir, Ali, Kabir, Zubair, Kadashetti, Vidya, Kalankesh, Laleh R, Kalra, Sanjay, Kamath, Ashwin, Kamath, Rajesh, Kamireddy, Arun, Kanaan, Mona, Kanchan, Tanuj, Kanmiki, Edmund Wedam, Kanmodi, Kehinde Kazeem, Kansal, Sushil Kumar, Karim, Asima, Karkhah, Samad, Kashoo, Faizan Zaffar, Kasraei, Hengameh, Kassel, Molly B, Katikireddi, Srinivasa Vittal, Kauppila, Joonas H, Kaur, Harkiran, Kayode, Gbenga A, Kazemi, Foad, Kazemian, Sina, Kebede, Fassikaw, Kendal, Evie Shoshannah, Kesse-Guyot, Emmanuelle, Khademvatan, Shahram, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Asaad, Khalid, Nauman, Khalilian, Alireza, Khamesipour, Faham, Khan, Fayaz, Khan, Mohammad Jobair, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatatbeh, Haitham, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khayat Kashani, Hamid Reza, Kheirallah, Khalid A, Khokhar, Manoj, Khormali, Moein, Khorrami, Zahra, Khosla, Atulya Aman, Khosravi, Majid, Khosrowjerdi, Mahmood, Khubchandani, Jagdish, Kifle, Zemene Demelash, Kim, Grace, Kim, Julie Sojin, Kim, Min Seo, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Korzh, Oleksii, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Kucuk Bicer, Burcu, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kujan, Omar, Kulimbet, Mukhtar, Kulkarni, Vishnutheertha, Kumar, G Anil, Kumar, Harish, Kumar, Nithin, Kumar, Rakesh, Kumar, Vijay, Kundu, Amartya, Kusuma, Dian, Kyei-Arthur, Frank, Kytö, Ville, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Ladan, Muhammad Awwal, Laflamme, Lucie, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lalloo, Ratilal, Lallukka, Tea, Lám, Judit, Lan, Qing, Lan, Tuo, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Lansingh, Van Charles, Laplante-Lévesque, Ariane, Larijani, Bagher, Larsson, Anders O, Lasrado, Savita, Lauriola, Paolo, Lawlor, Hilary R, Le, Huu-Hoai, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Thao Thi Thu, Le, Trang Diep Thanh, Leasher, Janet L, Lee, Doo Woong, Lee, Munjae, Lee, Paul H, Lee, Sang-woong, Lee, Seung Won, Lee, Shaun Wen Huey, Lee, Yo Han, Leigh, James, Leong, Elvynna, Li, Ming-Chieh, Libra, Massimo, Ligade, Virendra S, Lim, Lee-Ling, Lim, Stephen S, Limenh, Liknaw Workie, Lindholm, Daniel, Lindstedt, Paulina A, Listl, Stefan, Liu, Gang, Liu, Shiwei, Liu, Shuke, Liu, Xiaofeng, Liu, Xuefeng, Llanaj, Erand, López-Bueno, Rubén, López-Gil, José Francisco, Loreche, Arianna Maever, Lotufo, Paulo A, Lozano, Rafael, Lubinda, Jailos, Lucchetti, Giancarlo, Luo, Lisha, Lusk, Jay B, Lv, Lei, M Amin, Hawraz Ibrahim, Ma, Zheng Feei, Maass, Kelsey Lynn, Machairas, Nikolaos, Machoy, Monika, Madureira-Carvalho, Áurea M, Magdy Abd El Razek, Hassan, Maghazachi, Azzam A, Mahadeshwara Prasad, D.R., Mahalleh, Mehrdad, Mahasha, Phetole Walter, Mahmoud, Mansour Adam, Mahmoudi, Elham, Mahmoudvand, Golnaz, Makama, Maureen, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malta, Deborah Carvalho, Manla, Yosef, Mansour, Ali, Mansouri, Mohammad Hadi, Mansouri, Pejman, Mansouri, Vahid, Mansourian, Marjan, Mansournia, Mohammad Ali, Marasini, Bishnu P, Marateb, Hamid Reza, Maravilla, Joemer C, Mardi, Parham, Marjani, Abdoljalal, Markazi Moghadam, Hamed, Marrugo Arnedo, Carlos Alberto, Martinez, Gabriel, Martinez-Piedra, Ramon, Martins-Melo, Francisco Rogerlândio, Martorell, Miquel, Marx, Wolfgang, Marzo, Roy Rillera, Masoudi, Sahar, Mathangasinghe, Yasith, Mathioudakis, Alexander G, Mathur, Medha, Mathur, Navgeet, Mathur, Neeta, Matozinhos, Fernanda Penido, Mattumpuram, Jishanth, Maude, Richard James, Maugeri, Andrea, Mayeli, Mahsa, Mazidi, Mohsen, Mazzotti, Antonio, McGrath, John J, McKee, Martin, McKowen, Anna Laura W, McPhail, Michael A, McPhail, Steven M, Mehmood, Asim, Mehrabani-Zeinabad, Kamran, Mehravar, Sepideh, Mekene Meto, Tesfahun, Melese, Endalkachew Belayneh, Mendez-Lopez, Max Alberto Mendez, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Mensah, Laverne G, Mentis, Alexios-Fotios A, Meo, Sultan Ayoub, Meretoja, Atte, Meretoja, Tuomo J, Mersha, Abera M, Mestrovic, Tomislav, Mettananda, Kukulege Chamila Dinushi, Mettananda, Sachith, Mhlanga, Adquate, Mhlanga, Laurette, Miazgowski, Tomasz, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Miller, Ted R, Minh, Le Huu Nhat, Mirahmadi, Alireza, Mirijello, Antonio, Mirrakhimov, Erkin M, Mirzaei, Roya, Mitchell, Philip B, Mittal, Chaitanya, Moberg, Madeline E, Moghadam Fard, Atousa, Mohajelin, Seyedehfatemeh, Mohamadkhani, Ashraf, Mohamed, Ahmed Ismail, Mohamed, Jama, Mohamed, Mouhand F H, Mohamed, Nouh Saad, Mohammad, Ameen Mosa, Mohammadi, Soheil, Mohammed, Hussen, Mohammed, Mustapha, Mohammed, Shafiu, Mokdad, Ali H, Molokhia, Mariam, Momani, Shaher Mohammad, Momtazmanesh, Sara, Monasta, Lorenzo, Mondello, Stefania, Moni, Mohammad Ali, Montazeri, Fateme, Moodi Ghalibaf, AmirAli, Moradi, Maryam, Moradi, Yousef, Moraga, Paula, Morawska, Lidia, Moreira, Rafael Silveira, Morovatdar, Negar, Morrison, Shane Douglas, Mosapour, Abbas, Mosser, Jonathan F, Mossialos, Elias, Motappa, Rohith, Mougin, Vincent, Mousavi, Parsa, Mrejen, Matías, Mubarik, Sumaira, Mueller, Ulrich Otto, Mulita, Francesk, Munjal, Kavita, Murillo-Zamora, Efrén, Musallam, Khaled M, Musina, Ana-Maria, Mustafa, Ghulam, Myung, Woojae, Nafei, Ayoub, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Naik, Gurudatta, Nainu, Firzan, Najdaghi, Soroush, Nakhostin Ansari, Noureddin, Nangia, Vinay, Narasimha Swamy, Sreenivas, Nargus, Shumaila, Narimani Davani, Delaram, Nascimento, Bruno Ramos, Nascimento, Gustavo G, Naser, Abdallah Y, Nashwan, Abdulqadir J, Natto, Zuhair S, Nauman, Javaid, Navaratna, Samidi N K, Naveed, Muhammad, Nawsherwan, Nayak, Biswa Prakash, Nayak, Vinod C, Negash, Hadush, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nejjari, Chakib, Nematollahi, Soroush, Netsere, Henok Biresaw, Ng, Marie, Nguefack-Tsague, Georges, Ngunjiri, Josephine W, Nguyen, Anh Hoang, Nguyen, Dang H, Nguyen, Duc Hoang, Nguyen, Hau Thi Hien, Nguyen, Nhan, Nguyen, Nhien Ngoc Y, Nguyen, Phat Tuan, Nguyen, QuynhAnh P, Nguyen, Van Thanh, Nguyen Tran Minh, Duc, Niazi, Robina Khan, Nigatu, Yeshambel T, Niknam, Mahdieh, Nikoobar, Ali, Nikpoor, Amin Reza, Nikravangolsefid, Nasrin, Noman, Efaq Ali, Nomura, Shuhei, Noor, Syed Toukir Ahmed, Noroozi, Nafise, Nouri, Mehran, Nozari, Majid, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Nunemo, Mengistu H, Nurrika, Dieta, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obamiro, Kehinde O, Odetokun, Ismail A, Oduro, Michael Safo, Ogundijo, Oluwaseun Adeolu, Ogunfowokan, Adesola Adenike, Ogunkoya, Abiola, Oguntade, Ayodipupo Sikiru, Oh, In-Hwan, Ojo-Akosile, Tolulope R, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwafemi, Yinka Doris, Omar, Hany A, Omer, Goran Latif, Ong, Sokking, Onie, Sandersan, Onwujekwe, Obinna E, Opejin, Abdulahi Opejin, Ordak, Michal, Orish, Verner N, Ortiz, Alberto, Ortiz-Prado, Esteban, Osman, Wael M S, Ostojic, Sergej M, Ostroff, Samuel M, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Stanislav S, Ouyahia, Amel, Owolabi, Mayowa O, 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Moslem, Taiba, Jabeen, Talaat, Iman M, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tat, Nathan Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tbakhi, Abdelghani, Tehrani, Hadi, Temsah, Mohamad-Hani, Teramoto, Masayuki, Tesfaye, Behailu Terefe, Teye-Kwadjo, Enoch, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thygesen, Lau Caspar, Ticoalu, Jansje Henny Vera, Timalsena, Dinesh, Tiruye, Tenaw Yimer, Tiwari, Krishna, Tomo, Sojit, Tonelli, Marcello, Topor-Madry, Roman, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, An Thien, Tran, Jasmine T, Tran, Nghia Minh, Tran, Thang Huu, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Turnock, Steven T, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umar, Muhammad, Umar, Shehu Salihu, Unim, Brigid, 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Woldeyes, Dawit Habte, Wolf, Axel Walter, Wolfe, Charles D A, Wu, Chenkai, Wu, Dongze, Wu, Felicia, Wu, Jiayuan, Wu, Zenghong, Wulf Hanson, Sarah, Xiao, Hong, Xu, Suowen, Yadav, Rakesh, Yamagishi, Kazumasa, Yang, Danting, Yano, Yuichiro, Yarahmadi, Amir, Yazdani Nia, Iman, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yin, Dehui, Yip, Paul, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Yu, Elaine A, Yu, Yong, Yuan, Chun-Wei, Yusuf, Hadiza, Zafar, Uzma, Zafari, Nima, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Nazar, Zerfu, Taddese Alemu, Zhang, Haijun, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhiqiang, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Zhongyi, Zhong, Chenwen, Zhou, Bolun, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhumagaliuly, Abzal, Zielińska, Magdalena, Zoghi, Ghazal, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Smith, Amanda E, and Murray, Christopher J L
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- 2024
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4. Blood pressure status, quality of life, and emotional states in adults with different disease awareness and treatment adherence.
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Niknam, Mahdieh, Zolfagharypoor, Azin, Cheraghi, Leila, Izadi, Neda, Azizi, Fereidoun, and Amiri, Parisa
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QUALITY of life , *EMOTIONAL state , *MENTAL health , *HYPERTENSION , *SOCIAL skills , *PATIENT compliance - Abstract
This study aimed to examine the association between blood pressure (BP) with health-related quality of life (HRQoL) and emotional states, considering the disease awareness and commitment to treatment among the Iranian adult population. This cross-sectional study uses the data of 7257 and 2449 individuals aged ≥ 20 who had completed data on HRQoL and emotional states, respectively. Linear and logistic regression were used to evaluate the mentioned association. The results showed that commitment to treatment had an inverse association with physical HRQoL in both sexes, except for bodily pain in men. Concerning mental HRQoL, in women, poor medication adherence was linked to a decline in mental HRQoL and social functioning, while good treatment adherence was associated with a reduction in the mental health domain. However, except for a decrease in vitality of hypertensive males with high treatment adherence, no significant association was found between their mental HRQoL and BP. In women, increased commitment to treatment was associated with anxiety, whereas poor commitment was related to depression and stress. The undiagnosed disease was not associated with any HRQoL and emotional state deficits. This study highlights the significance of psychiatric assessment, counseling, and support services while taking into account gender-specific differences among hypertensive patients. It also emphasizes the necessity for customized interventions for both men and women to improve their mental well-being and adherence to treatment. [ABSTRACT FROM AUTHOR]
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- 2024
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5. The association between ultra-processed food consumption and health-related quality of life differs across lifestyle and socioeconomic strata.
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Hosseinpour-Niazi, Somayeh, Niknam, Mahdieh, Amiri, Parisa, Mirmiran, Parvin, Ainy, Elaheh, Izadi, Neda, Gaeini, Zahra, and Azizi, Fereidoun
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QUALITY of life , *PHYSICAL activity , *FOOD consumption , *SOCIOECONOMIC factors , *UNHEALTHY lifestyles - Abstract
Background: In this prospective study, we aimed to examine the association between ultra-processed foods and health-related quality of life (HRQoL) and to evaluate the effect of lifestyle and socioeconomic factors on this association. Methods: This study included 1766 adults (aged 18 to 78, 54.3% women), who took part in the Tehran Lipid and Glucose study. The Short-Form 12-Item Health Survey version 2 was used to determine HRQoL, which includes the physical component summary (PCS) and mental component summary (MCS) scores. Ultra-processed food consumption was assessed using a validated semi-quantitative food frequency questionnaire. Lifestyle (physical activity and smoking status) and socioeconomic factors (education level and employment status) were also determined. General linear models (GLM) were applied to estimate the mean (95% confidence interval) for MCS and PCS scores across the ultra-processed foods tertiles. Additionally, the effect of lifestyle and socioeconomic factors on the relationship between ultra-processed foods and HRQoL was examined using GLM. Results: The median consumption of ultra-processed foods was 11.9% (IQR: 8.2 to 16.8) of total energy intake. There was a significant inverse association between ultra-processed foods consumption and PCS, but not MCS, after adjustment for confounding factors. Significant interactions were observed between ultra-processed food consumption, sex, and occupation on PCS score (all P values < 0.001). The interaction test tended to be significant for smoking status, education levels, and physical activity levels. As ultra-processed food consumption increased, the PCS score significantly decreased in women (P = 0.043), low physical active subjects (P = 0.014), smokers (P = 0.015), and lower-educated individuals (P = 0.022). Non-employed individuals with higher ultra-processed food intake showed a decline in their PCS and MCS scores. While there was no significant difference in MCS score among different strata of lifestyle and socioeconomic status across tertiles of ultra-processed foods. Conclusions: Higher intake of ultra-processed foods was associated with poorer physical health, particularly among women, those with unhealthy lifestyles, and low socioeconomic conditions. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021
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Tolulope R, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwafemi, Yinka Doris, Omar, Hany A, Omer, Goran Latif, Ong, Sokking, Onie, Sandersan, Onwujekwe, Obinna E, Opejin, Abdulahi Opejin, Ordak, Michal, Orish, Verner N, Ortiz, Alberto, Ortiz-Prado, Esteban, Osman, Wael M S, Ostojic, Sergej M, Ostroff, Samuel M, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Stanislav S, Ouyahia, Amel, Owolabi, Mayowa O, Oyeyemi, Oyetunde T, Ozair, Ahmad, P A, Mahesh Padukudru, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pal, Pramod Kumar, Palicz, Tamás, Pan, Feng, Pan, Hai-Feng, Panda-Jonas, Songhomitra, Pandey, Anamika, Pando-Robles, Victoria, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Panos, Leonidas D, Pantazopoulos, Ioannis, Pantea Stoian, Anca Mihaela, Parikh, Romil R, Park, Eun-Kee, Park, Seoyeon, Park, 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Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Starodubova, Antonina V, Stein, Dan J, Steiner, Caitlyn, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Straif, Kurt, Subedi, Narayan, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Jing, Sundström, Johan, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabb, Karen M, Tabche, Celine, Tabish, Mohammad, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taiba, Jabeen, Talaat, Iman M, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tang, Haosu, Tat, Nathan Y, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tbakhi, Abdelghani, Tehrani, Hadi, Temsah, Mohamad-Hani, Teramoto, Masayuki, Tesfaye, Behailu Terefe, Teye-Kwadjo, Enoch, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thygesen, Lau Caspar, Ticoalu, Jansje Henny Vera, Timalsena, Dinesh, Tiruye, Tenaw Yimer, Tiwari, Krishna, Tomo, Sojit, Tonelli, Marcello, Topor-Madry, Roman, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, An Thien, Tran, Jasmine T, Tran, Nghia Minh, Tran, Thang Huu, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Turnock, Steven T, Udoh, Arit, Ullah, Atta, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umar, Muhammad, Umar, Shehu Salihu, Unim, Brigid, Unnikrishnan, Bhaskaran, Upadhyay, Era, Usman, Jibrin Sammani, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj, Vakili, Omid, Valizadeh, Rohollah, Van den Eynde, Jef, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Venketasubramanian, Narayanaswamy, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Vijayageetha, Mathavaswami, Villafañe, Jorge Hugo, Vinayak, Manish, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vohra, Karn, Vos, Theo, Wadood, Abdul Wadood, Waheed, Yasir, Wang, Fang, Wang, Shaopan, Wang, Shu, Wang, Yanqing, Wang, Yanzhong, Wang, Yuan-Pang, Wanjau, Mary Njeri, Waqas, Muhammad, Ward, Paul, Waris, Abdul, Wassie, Emebet Gashaw, Watson, Stefanie, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weldetinsaa, Haftom Legese Legese, Wells, Katherine M, Wen, Yi Feng, Westerman, Ronny, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Widowati, Evi, Wojewodzic, Marcin W, Woldeyes, Dawit Habte, Wolf, Axel Walter, Wolfe, Charles D A, Wu, Chenkai, Wu, Dongze, Wu, Felicia, Wu, Jiayuan, Wu, Zenghong, Wulf Hanson, Sarah, Xiao, Hong, Xu, Suowen, Yadav, Rakesh, Yamagishi, Kazumasa, Yang, Danting, Yano, Yuichiro, Yarahmadi, Amir, Yazdani Nia, Iman, Ye, Pengpeng, Yesodharan, Renjulal, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yin, Dehui, Yip, Paul, Yonemoto, Naohiro, You, Yuyi, Younis, Mustafa Z, Yu, Chuanhua, Yu, Elaine A, Yu, Yong, Yuan, Chun-Wei, Yusuf, Hadiza, Zafar, Uzma, Zafari, Nima, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Nazar, Zerfu, Taddese Alemu, Zhang, Haijun, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhiqiang, Zhao, Xiu-Ju George, Zhao, Yang, Zhao, Zhongyi, Zhong, Chenwen, Zhou, Bolun, Zhou, Juexiao, Zhou, Shangcheng, Zhu, Bin, Zhumagaliuly, Abzal, Zielińska, Magdalena, Zoghi, Ghazal, Zumla, Alimuddin, Zyoud, Sa'ed H, Zyoud, Samer H, Smith, Amanda E, and Murray, Christopher J L
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- 2024
7. How Do Active and Passive Cigarette Smokers in Iran Evaluate Their Health? A Sex-Specific Analysis on the Full-Spectrum of Quality of Life.
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Cheraghi, Leila, Niknam, Mahdieh, Masihay-Akbar, Hasti, Azizi, Fereidoun, and Amiri, Parisa
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QUALITY of life , *CIGARETTE smokers , *PASSIVE smoking , *QUANTILE regression , *SMOKING - Abstract
Introduction This study aimed to determine the sex-specific effects of active and passive cigarette smoking on the full spectrum of health-related quality of life (HRQoL) among a sizeable adult population. Methods This study was conducted within the Tehran Lipid and Glucose Study (TLGS) framework. Participants included 7478 adults in the last examination of the TLGS. We used a quantile regression model to compare sex-specific HRQoL distributions among non-, current, and passive smokers. Two-step cluster analysis was used to consider the synergic effects of confounder variables. Results In men, current smoking was negatively associated with only mental HRQoL in all percentiles of its distribution with a decrease in absolute estimation values from the lowest (5th: β = −6.59, p < .001) to the highest (90th: β=−0.93, p = .027). Also, passive smoking was negatively associated with men's physical HRQoL in the upper percentiles of its distribution (75th: β = −1.12, p = .010; 90th: β = −1.26, p = .016). In women, the current (β = −4.17 to −4.45 for 25th to 90th percentiles) and passive smokers (β = −2.05 to −4.25 for 10th to 90th percentiles) had lower mental HRQoL in the mentioned percentiles. Also, the current smoking had a negative association with the 5th percentile (β = −2.04, p = .008), and a positive association with the 50th (β = 1.94, p < .008) and 75th percentile of physical HRQoL (β = 2.25, p = .004). Conclusions The present study showed the harmful effect of smoking on mental HRQol in all participants. In contrast, the physical effect of smoking was only observed in female active smokers and at the extreme levels of the physical HRQoL spectrum. Implications According to the harmful effect of smoking on HRQoL, understanding active and passive smokers' perceptions of how smoking impacts their health is critical for tobacco control programs. Since most previous studies of smoking and HRQoL have mainly focused on the extreme parts or central values of the HRQoL distribution, the use of a multiple regression approach enables the evaluation of other parts of the conditional distribution of the outcome variable. This study demonstrated the prominent effect of smoking on the mental HRQoL as well as the more serious public health burden of passive smoking in women. [ABSTRACT FROM AUTHOR]
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- 2024
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8. Socio-behavioral determinants of health-related quality of life among patients with type 2 diabetes: comparison between 2015 and 2018.
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Izadi, Neda, Shafiee, Arman, Niknam, Mahdieh, Yari-Boroujeni, Reza, Azizi, Fereidoun, and Amiri, Parisa
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SOCIAL determinants of health ,BODY mass index ,CARDIOVASCULAR diseases ,RESEARCH funding ,QUESTIONNAIRES ,FUNCTIONAL assessment ,SEX distribution ,DESCRIPTIVE statistics ,LONGITUDINAL method ,CHRONIC kidney failure ,TYPE 2 diabetes ,QUALITY of life ,EMPLOYMENT - Abstract
Introduction: Type 2 diabetes (T2D) is a common chronic disease that significantly affects an individual's overall health and well-being. The aim of this study is to investigate the factors that influence the health-related quality of life (HRQoL) of patients with T2D. Methods: This study conducted using data from 6th phase (2015–2017) and 7th phase (2018–2022) of the Tehran Lipid and Glucose Study (TLGS). Data were collected through a combination of interviews, physical examinations, and laboratory tests. Quality of life questionnaire (SF-12) that consists of 12 questions was used to assess physical and mental health functioning. The generalized estimating equation model was used to assess the association between socio-behavioral factors and changes in HRQoL. Results: The study included 498 patients with T2D. The changes in HRQoL in patients with T2D followed a sex-specific pattern. Analysis of the physical component score (PCS) and the mental component score (MCS) showed a non-significant change in the total score during the three-year longitudinal study. However, the role physical (RP) of the PCS and the social functioning (SF) of the MCS showed a statistically significant change during this period. In addition, sex, body mass index (BMI), and having cardiovascular disease (CVD) and chronic kidney disease (CKD) showed a significant association with RP changes, and only job status showed a significant association with SF changes. Conclusions: By recognizing the sex-specific patterns in HRQoL changes and understanding the multifaceted nature of factors such as BMI, CVD and CKD, healthcare professionals can develop targeted interventions that go beyond traditional diabetes management. [ABSTRACT FROM AUTHOR]
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- 2024
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9. How Do Active and Passive Cigarette Smokers in Iran Evaluate Their Health? A Sex-Specific Analysis on the Full-Spectrum of Quality of Life
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Cheraghi, Leila, primary, Niknam, Mahdieh, additional, Masihay-Akbar, Hasti, additional, Azizi, Fereidoun, additional, and Amiri, Parisa, additional
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- 2023
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10. Adapting the Community Readiness Model and Validating a Community Readiness Tool for Childhood Obesity Prevention Programs in Iran
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Niknam, Mahdieh, primary, Omidvar, Nasrin, additional, Amiri, Parisa, additional, Eini-Zinab, Hassan, additional, and kalantari, Naser, additional
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- 2023
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11. Additional file 1 of Improving community readiness among Iranian local communities to prevent childhood obesity
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Niknam, Mahdieh, Omidvar, Nasrin, Eini-Zinab, Hassan, Kalantari, Naser, Olazadeh, Keyvan, and Amiri, Parisa
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Additional file 1. Food and Nutrition Committee (FNC) members.
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- 2023
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12. Additional file 2 of Improving community readiness among Iranian local communities to prevent childhood obesity
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Niknam, Mahdieh, Omidvar, Nasrin, Eini-Zinab, Hassan, Kalantari, Naser, Olazadeh, Keyvan, and Amiri, Parisa
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Additional file 2. Intervention action plan around the six dimensions of the community readiness model.
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- 2023
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13. Additional file 5 of Improving community readiness among Iranian local communities to prevent childhood obesity
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Niknam, Mahdieh, Omidvar, Nasrin, Eini-Zinab, Hassan, Kalantari, Naser, Olazadeh, Keyvan, and Amiri, Parisa
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Additional file 5. The results of fidelity assessment by sex and aSES.
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- 2023
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14. Additional file 3 of Improving community readiness among Iranian local communities to prevent childhood obesity
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Niknam, Mahdieh, Omidvar, Nasrin, Eini-Zinab, Hassan, Kalantari, Naser, Olazadeh, Keyvan, and Amiri, Parisa
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Additional file 3. Data collecting form for assessing the quantitative and qualitative aspects of activities.
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- 2023
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15. Additional file 4 of Improving community readiness among Iranian local communities to prevent childhood obesity
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Niknam, Mahdieh, Omidvar, Nasrin, Eini-Zinab, Hassan, Kalantari, Naser, Olazadeh, Keyvan, and Amiri, Parisa
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Additional file 4. Interview consent form.
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- 2023
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16. The Action Plan and Strategy Development for the Community Readiness Improvement for Tackling Childhood Obesity (CRITCO) Study
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Niknam, Mahdieh, primary, Omidvar, Nasrin, additional, Amiri, Parisa, additional, Eini-Zinab, Hassan, additional, and Kalantari, Naser, additional
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- 2021
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17. Community readiness for childhood obesity prevention programs: findings from an urban population in Iran
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Niknam, Mahdieh, primary, Omidvar, Nasrin, additional, Amiri, Parisa, additional, Eini-Zinab, Hassan, additional, and Kalantari, Naser, additional
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- 2020
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18. Community readiness for childhood obesity prevention programs: findings from an urban population in Iran.
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Niknam, Mahdieh, Omidvar, Nasrin, Amiri, Parisa, Eini-Zinab, Hassan, and Kalantari, Naser
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SCHOOL health services , *CHILDHOOD obesity , *SOCIOECONOMIC factors , *SEX distribution , *COMMUNITY-based social services , *DESCRIPTIVE statistics , *QUESTIONNAIRES , *RESEARCH funding , *DATA analysis software , *DELPHI method - Abstract
This study aimed to examine the Iranian local communities' readiness stage to engage with childhood obesity prevention programs for late primary school children in districts 2 and 16 of Tehran as the representatives of high and low socio-economic districts, respectively. First, a Delphi approach was conducted to assess the socio-cultural necessity/appropriateness and adequacy of the community readiness model and its dimensions as a planning basis for childhood obesity prevention program(s) in Iran. Then, the community readiness interview guide's translation, modification, content and face validity were performed. Finally, 66 interviews with key informants were conducted and scored to assess community readiness. The socio-cultural necessity/appropriateness and adequacy of community readiness model and its dimensions were confirmed by Delphi participants and two questions were added to the interview guide. Content and face validity of the interview guide were at acceptable levels. Assessment of the community readiness based on the key informants' perspective showed that the overall mean readiness score of targeted local communities was 4.61 ± 0.54 and 4.22 ± 0.26 in high and low socio-economic districts, respectively, corresponded to 'preplanning stage'. The highest score was 5.00 ± 0.48 correspond to the 'preparation stage', which belonged to girls' schools in district 2. Small differences were found in the readiness stage of local communities by sex and socio-economic status of schools. The results highlight the need to increase community awareness, gain their support to recognize childhood obesity as a priority, address cultural misconceptions and improve the obesity prevention programs to achieve a higher level of readiness. [ABSTRACT FROM AUTHOR]
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- 2021
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19. Adherence to a DASH-Style Diet in Relation to Stroke: A Case-Control Study
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Niknam, Mahdieh, primary, Saadatnia, Mohammad, additional, Shakeri, Forough, additional, Keshteli, Ammar Hassanzadeh, additional, Saneei, Parvane, additional, and Esmaillzadeh, Ahmad, additional
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- 2015
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20. Anti-Inflammatory Effects of Dietary Antioxidants in Patients with Coronary Artery Disease
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Niknam, Mahdieh, primary and Paknahad, Zamzam, additional
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- 2015
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21. Health-related quality of life in adults with metabolic syndrome: a multi-level analysis of family and individual level variation.
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Niknam M, Olazadeh K, Azami M, Boroumandieh S, Yari-Boroujeni R, Izadi N, Azizi F, and Amiri P
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- Humans, Male, Female, Cross-Sectional Studies, Iran epidemiology, Adult, Middle Aged, Prevalence, Exercise, Sex Factors, Young Adult, Aged, Health Surveys, Health Status, Metabolic Syndrome epidemiology, Metabolic Syndrome psychology, Quality of Life
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Purpose: The current study aimed to investigate the associations between metabolic syndrome (MetS) with health-related quality of life (HRQoL) using multilevel analysis among the Iranian adult population., Methods: This cross-sectional study was conducted in the framework of the Tehran Lipid and Glucose Study (TLGS). Participants were 6113 participants (3318 women and 2795 men) aged≥20 years of the TLGS seventh phase who had completed data on HRQoL and MetS. HRQoL was assessed using the short-form 12-item health survey V.2 and MetS defined based on the guidelines outlined in the Joint Interim Statement. The two-level model was fitted to assess the association between MetS and HRQoL., Results: The prevalence of MetS and its components was higher in men, and regardless of metabolic status, men exhibited higher HRQoL values. The deleterious impact of MetS on HRQoL was more pronounced in women, while the detrimental effects of MetS on men's HRQoL were confined to specific subscales. These results were obtained through multilevel analysis, considering both familial and individual variation levels. Moreover, our investigation highlighted the positive influence of leisure-time physical activity on both the physical and mental component summaries (PCS and MCS, respectively), regardless of gender. Education had a greater positive impact on PCS in both sexes. Additionally, a history of cardiovascular diseases was associated with a decline in mental and physical HRQoL, while age was linked to a decline in PCS and MCS, and smoking was associated with a decline in MCS., Conclusion: This study revealed the significant influence of gender, as well as the unique characteristics and circumstances of individuals, on the relationship between MetS and HRQoL in a general population with low/middle income., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2024
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22. Socioeconomic inequalities and dyslipidaemia in adult population of the Ravansar Non-Communicable Disease Cohort Study: the role of sex and age.
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Izadi N, Yari-Boroujeni R, Soofi M, Niknam M, Amiri P, and Najafi F
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- Humans, Male, Middle Aged, Female, Adult, Cross-Sectional Studies, Aged, Prevalence, Sex Factors, Socioeconomic Factors, Noncommunicable Diseases epidemiology, Cohort Studies, Age Factors, Social Class, Health Status Disparities, Risk Factors, Dyslipidemias epidemiology
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Objectives: This study represents a pioneering attempt to quantify the contribution of age, sex and socioeconomic status (SES) to the observed inequalities in lipid profile components., Design: Cross-sectional study., Setting: The data from the Ravansar Non-Communicable Disease (RaNCD) Cohort Study were used., Participants: 10 000 individuals aged 35-65 years., Main Outcome Measures: Principal component analysis was used to determine the SES of individuals. Using the concentration index (C-index) and curves, the study assessed socioeconomic inequalities in dyslipidaemia in different age groups and genders. Decomposition analysis was used to determine the contribution of sex, age and SES to the observed inequality in the prevalence of dyslipidaemia components between the wealthiest and poorest groups., Results: The prevalence of dyslipidaemia was 72.39% of the population and was significantly higher in women than in men (excluding hypertriglyceridaemia). Overall, no significant SES-based inequality in dyslipidaemia was observed (C-index=-0.045, p=0.116), but after adjustment for age and sex, individuals with high SES had increased odds of dyslipidaemia (OR=1.16, 95% CI: 1.03 to 1.31). Hypercholesterolaemia and hyper-low-density lipoprotein (LDL) were more common in individuals with lower SES (C-index=-0.117 and -0.105), while hypo-high-density lipoprotein (HDL) was more prevalent in individuals with higher SES (C-index=0.029), regardless of adjustment for age, sex and confounding factors. SES played a significant role in hypercholesterolaemia and hyper-LDL (322.11% and 400.14%), while sex dominated in hypertriglyceridaemia and hypo-HDL (814.05% and -615.26%) and contributed to the existing inequalities., Conclusion: The results highlight the existing inequalities in lipid profiles due to SES, sex and age. Consideration of these factors in interventions and policy decisions is critical to reduce abnormalities and inform future interventions., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2024
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23. Correction: The association between ultra-processed food consumption and health-related quality of life differs across lifestyle and socioeconomic strata.
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Hosseinpour-Niazi S, Niknam M, Amiri P, Mirmiran P, Ainy E, Izadi N, Gaeini Z, and Azizi F
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- 2024
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24. Dietary amino acid profile and risk of hypertension: findings from the Ravansar cohort study.
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Najafi F, Mohseni P, Niknam M, Pasdar Y, and Izadi N
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Introduction: Hypertension (HTN) is a significant global health concern associated with morbidity and mortality. Recent research has explored the potential relationship between dietary protein intake and the development of HTN. This study aims to investigate the association between dietary amino acids and the incidence of HTN., Methods: This nested case-control study utilized data from the Ravansar Non-Communicable Disease (RaNCD) Cohort Study. The study included 491 new HTN cases identified over a 6-year follow-up period. For each case, four controls were randomly selected through density sampling. A food frequency questionnaire (FFQ) consisting of 125 food items was used to calculate dietary amino acid intake. HTN was determined based on systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg and/or current use of antihypertensive medication in subjects without pre-existing HTN at the start of the cohort study. Conditional logistic regression was used to estimate crude and adjusted odds ratios for HTN risk., Results: The median intake of all amino acids was lower in patients with HTN compared to the control group. After adjusting for various variables in different models, the risk of developing HTN tended to increase with higher dietary amino acid intake (excluding tryptophan and acidic amino acids). Specifically, individuals in the third tertile had a higher risk of developing new HTN than those individuals in the lowest tertile, although this difference was not statistically significant (P > 0.05)., Conclusion: The findings suggest that there may be an association between increased dietary amino acid intake and the risk of developing HTN, although this association was not statistically significant in this study. Further investigations in diverse populations are needed to explore the relationship between amino acids and HTN, as well as to determine the potential positive and negative effects of specific amino acid patterns on hypertension., (© 2024. The Author(s).)
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- 2024
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