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Bhagavathula, Akshaya Srikanth

https://orcid.org/0000-0002-0581-7808

Mayo Clinic

North Dakota State University

Citations 14

Trends and projections of overweight and obesity among midlife women in the United States, 1990–2050: A sub‑study of the Global Burden of Disease 2021
Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa Ali , Bhagavathula, Akshaya Srikanth , Abegaz, Tadesse Melaku

Women's Health | March 11, 2026 | Volume: 22 | Issue: No issue available | Pages: No page available

10.1177/17455057261430197 Get It

Background: Overweight and obesity are rising globally. During perimenopause years, declining estrogen and changes in body composition increase visceral fat and insulin resistance, increasing cardiometabolic risk. Objective: To estimate trends in overweight and obesity among U.S. women aged 40–64 years, examine variations by age and state, and project prevalence to 2050. Design: Secondary analysis of publicly available body mass index (BMI) data accessed through the Global Burden of Disease (GBD) Health Data Exchange, using pooled cross-sectional estimates and hierarchical logistic growth modeling.This sub‑study is not part of the official GBD analysis. Methods: Harmonized data from the GBD Health Data Exchange integrated National Health Interview Survey, National Health and Nutrition Examination Survey (NHANES), and Behavioral Risk Factor Surveillance System microdata (1990–2021) for nonpregnant women aged 40–64 years, with calibration of self-reported BMI to measured NHANES data. BMI categories followed WHO cutoffs. Weighted estimates were age-standardized, and hierarchical logistic models projected state-specific trends to 2050. The pooled sample included 150,842 women, representing about 90 million weighted person-years. All data were de-identified and publicly available; ethics approval and consent were not required. Results: Combined overweight/obesity prevalence increased from 49.2% (95% uncertainty interval (UI) 45.8–52.2; 17.7 million (95% UI 16.5–18.8 million)) in 1990 to 74.2% (95% UI 68.8–79.1; 33.4 million (95% UI 31.0–35.6 million)) in 2021, and projected to reach 83.4% (95% UI 75.5–88.3; 41.7 million (95% UI 37.8–44.2 million)). In 2021, rates ranged from 68.3% in Colorado to 82.8% in Mississippi. Conclusion: Overweight and obesity among midlife women have increased sharply with a continuing shift from overweight to obesity. Menopause-specific preventive strategies and policies promoting physical activity and healthy diet are critical to slow future increases.
Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage
Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari, Stark, Benjamin, Johnson, Catherine O., Kaprio, Jaakko , Korja, Miikka, Krishnamurthi, Rita , Nair, Balakrishnan , Vergouwen, Mervyn D. I. , Abdelkader, Atef , Abdullahi, Auwal , Abualruz, Hasan , Abukhadijah, Hana J , Adamu, Lawan Hassan, Adegboye, Oyelola A. , Adzigbli, Leticia Akua, Agyemang‐Duah, Williams , Ahinkorah, Bright Opoku, Ahmad, Aqeel , Ahmad, Danish , Ahmadzade, Amir Mahmoud , Akkaif, Mohammed Ahmed , Ali, Mohammed Usman, Alif, Sheikh Mohammad , Alimohamadi, Yousef, Alsabri, Mohammed , Altaf, Awais , Alvis‐Guzmán, Nelson , Alwafi, Hassan , Al‐Wardat, Mohammad , Alyahya, Mohammad S. , Amin, Tarek Tawfik , Amindarolzarbi, Alireza , Amusa, Ganiyu , Angappan, Dhanalakshmi , Anuoluwa, Boluwatife Stephen, Anwar, Saleha, Anyasodor, Anayochukwu Edward , Apostol, Geminn Louis Carace, Areda, Demelash, Artamonov, Anton A, Artanti, Kurnia Dwi , Ashemo, Mubarek Yesse , Athar, Mohammad , Aujayeb, Avinash , Awotidebe, Adedapo Wasiu , Azadnajafabad, Sina , Aziz, Shahkaar , Bagheri, Nasser , Taqanaki, Pegah Bahrami , Bahramian, Saeed , Bai, Ruhai , Baig, Atif Amin , Baltatu, Ovidiu Constantin , Bam, Kiran, Barker‐Collo, Suzanne , Bärnighausen, Till , Bastan, Mohammad‐Mahdi , Basu, Sanjay , Bell, Shelly L, Benseñor, Isabela M , Berhie, Alemshet Yirga , Bhagavathula, Akshaya Srikanth , Bhaskar, Sonu , Bhat, Ajay Nagesh, Bhat, Vivek , Birhan, Mekuriaw Mesfin , Borhany, Hamed, Breitner, Susanne , Bulamu, Norma B. , Butt, Zahid A , Cabral, Lucas Scotta , Santos, Florentino Luciano Caetano dos , Cámera, Luis Alberto , Capodici, Angelo , Chadwick, Joshua , Chakraborty, Promit Ananyo , Chanie, Gashaw Sisay , Chattu, Vijay Kumar , Chi, Gerald, Chichagi, Fatemeh , Columbus, Alyssa , Criqui, Michael H, Ohadi, Mohammad Amin Dabbagh , Dadras, Omid , Dalli, Lachlan L. , Debopadhaya, Shayom , Dervišević, Emina , Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman , Dhane, Amol S. , Chi, Thanh, Phuong, Thao Huynh, Dohare, Sushil , Докова, Клара , Dowou, Robert Kokou , Dsouza, Haneil Larson , Dutta, Siddhartha , Dziedzic, Arkadiusz , E’mar, Abdel Rahman, Edvardsson, David , Efendi, Ferry, Nahas, Nevine El , Elgendy, Islam Y. , Eltaha, Chadi, Emeto, Theophilus I. , Fakhradiyev, Ildar , Faris, Pawan , Fauk, Nelsensius Klau , Fazylov, Timur, Fekadu, Ginenus , Fetensa, Getahun, Fischer, Florian, Foschi, Matteo , Fridayani, Ni Kadek Yuni, Gaipov, Abduzhappar , Gajjar, Avi A. , Ganesan, Balasankar , Gebregergis, Miglas Welay, Gebremeskel, Teferi Gebru , Getie, Molla , Ghadirian, Fataneh , Ghasemzadeh, Afsaneh , Gholamalizadeh, Maryam , Gil, Artyom , Goleij, Pouya , Goulart, Alessandra C. , Goulart, Bárbara Niegia Garcia de , Guan, Shi‐Yang , Gupta, Sapna , Habibzadeh, Farrokh , Hadi, Najah R, Hankey, Graeme J. , Harlianto, Netanja I. , Hasani, Hamidreza, Hasnain, Md Saquib , Haubold, Johannes , Havmoeller, Rasmus, Hay, Simon I , Hbid, Youssef , Heidari, Golnaz , Hiraike, Yuta, Hoan, Nguyen Quoc , Hosseinzadeh, Mehdi , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ikiroma, Adalia , Isola, Gaetano , Iwagami, Masao , Jacob, Louis, Jain, Akhil, Jakovljević, Mihajlo , Jatau, Abubakar Ibrahim , Jawaid, Talha, Jayapal, Sathish Kumar , Jonas, Jost B, Joseph, Nitin , Jürisson, Mikk , Kadashetti, Vidya, Kalani, Rizwan, Kamireddy, Arun , Kandel, Himal , Behnagh, Arman Karimi , Kashoo, Faizan , Kayode, Gbenga A , Kazemi, Foad , Khader, Yousef , Khaing, Inn Kynn , Khan, Fayaz Ahmad , Khan, Mohammad Jobair , Kashani, Hamid Reza Khayat , Khosla, Atulya Aman , Kim, Kwanghyun , Kim, Yun Jin , Korzh, Oleksii , Krishan, Kewal , Krishna, Varun, Krishnamoorthy, Vijay , Kuddus, Mohammed , Kulimbet, Mukhtar , Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Laksono, Tri, Lallukka, Tea , Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao T. , Lee, Munjae , Lee, Yo Han , Lenzi, Jacopo , Leonardi, Matilde, Li, Ming‐Chieh , Li, Xiaopan , Lim, Stephen S , Lin, Jialing , Saute, Ricardo Lutzky , Malik, Ahmad Azam , Marateb, Hamid Reza , Maroufi, Seyed Farzad , Maugeri, Andrea , McPhail, Steven , Mehndiratta, Man Mohan, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege , Miazgowski, Tomasz , Minervini, Giuseppe , Mithra, Prasanna , Mohamed, Abdalla Z. , Mohammad, Ameen Mosa , Mohammed, Shafiu , Moni, Mohammad Ali , Moradi, Yousef, Moraga, Paula , Morawska, Lídia , Munjal, Kavita , Murray, Christopher J L , Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R. , Najdaghi, Soroush , Davani, Delaram Narimani , DELETE-ME, Nawsherwan, Nazri-Panjaki, Athare , Negoi, Ruxandra Irina , Nematollahi, Soroush , Nguyen, Hau Thi Hien, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan , Nguyễn, Văn Thành , Niazi, Robina Khan, Nikoobar, Ali , Sá, Antonio Tolentino Nogueira de , Nomura, Shuhei , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ojo-Akosile, Tolulope R, Oliveira, Gláucia Maria Moraes de , Olorukooba, Abdulhakeem Abayomi , Osuagwu, Uchechukwu Levi , Ouyahia, Amel, A, Mahesh Padukudru P, Panagiotakos, Demosthenes B. , Parikh, Romil R., Park, Seoyeon , Pedersini, Paolo , Peprah, Emmanuel , Perico, Norberto, Petermann-Rocha, Fanny Emily, Plotnikov, Evgenii , Полибин, Р. В. , Postma, Maarten J. , Prasad, Manya , Qian, Gangzhen , Rahmanian, Mohammad , Rajaa, Sathish , Rajput, Prashant , Ramadan, Mahmoud M. , Rane, Amey, Rashidi, Mohammad‐Mahdi , Razo, Christian , Reddy, Murali Mohan Rama Krishna, Remuzzi, Giuseppe, Rezaei, Negar , Rezaeian, Mohsen , Rocha, Hermano Alexandre Lima , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo , Romoli, Michele, Romozzi, Marina, Roy, Nitai , Saddik, Basema Ahmad, Sahoo, Pragyan Monalisa , Salaroli, Luciane Bresciani , Samuel, Vijaya Paul, Samy, Abdallah M , Santric-Milicevic, Milena M., Saravanan, Aswini, Schlaich, Markus P. , Sethi, Yashendra , Seylani, Allen, Shaaban, Ahmed Nabil , Shafie, Mahan , Shaikh, Summaiya Zareen , Shamsutdinova, Alfiya, Sharifan, Amin , Rad, Javad Sharifi, Sharma, Vishal, Shashamo, Bereket Beyene , Shetty, Premalatha K, Shigematsu, Mika, Shorofi, Seyed Afshin, Singh, Paramdeep , Singh, Puneetpal , Singh, Surjit , Sobia, Farrukh , Solanki, Shipra, Soraneh, Soroush , Spartalis, Michael, Srinivasamurthy, Suresh Kumar , Stanikzai, Muhammad Haroon , Sun, Zhong , Swain, Chandan Kumar , Damavandi, Payam Tabaee , Tabatabaeizadeh, Seyed-Amir, Tabche, Celine , Taiba, Jabeen , Tamuzi, Jacques Lukenze , Tan, Ker‐Kan , Teramoto, Masayuki , Thakur, Ramna, Thankappan, Kavumpurathu Raman , Thayakaran, Rasiah , Thirunavukkarasu, Sathish, Ticoalu, Jansje Henny Vera, Tiwari, Krishna Raj , Tonelli, Marcello , Topór-Mądry, Roman , Tovani-Palone, Marcos Roberto Roberto, Tran, Jasmine, Tran, Thang Huu , Duc, Nguyen Tran Minh , Truelsen, Thomas Clement, Unim, Brigid, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj , Eynde, Jef Van den , Vladimirov, Sergey Konstantinovitch , Waheed, Yasir, Wahood, Waseem , Walde, Mandaras Tariku, Wang, Yanzhong , Wickramasinghe, Nuwan Darshana , Wolfe, Charles D. A., Wubie, Yihun Miskir, Xiao, Hong , Xu, Xiaoyue , Yano, Yuichiro , Yarahmadi, Amir , Ye, Pengpeng, Yon, Dong Keon , Zanghì, Aurora , Zare, Iman, Zastrozhin, Michael, Zhang, Zhi-Jiang , Zhang, Zhiqiang , Zhang, Zhiqiang, Zhao, Hanqing , Zhou, Shang Cheng, Zhumagaliuly, Abzal , Zia, Hafsa, Roth, Gregory A., Topór‐Mądry, Roman , Oliveira, Arão Belitardo , Rahim, Fakher , Saddik, Basema , Waheed, Yasir , Liu, Xuefeng , Zhang, Yunquan , Ozair, Ahmad , Buendía, Jefferson Antonio , Korja, Miikka , Baig, Atif Amin , Shanawaz, Mohd , Elgendy, Islam Y , Hankey, Graeme J , Alif, Sheikh M , Rezaei, Negar , Bhagavathula, Akshaya Srikanth , Van den Eynde, Jef , Ozair, Ahmad , Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari Matias , Volovici, Victor , Ranta, Annemarei , Rinkel, Gabriël J.E. , Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat , Abd-Allah, Foad , Abdi, Parsa , Abdollahi, Arash , Abiodun, Olugbenga Olusola , Aboagye, Richard Gyan , Abouzid, Mohamed , Abtahi, Dariush , Abu‐Rumeileh, Samir , Abualhasan, Ahmed , Abu‐Zaid, Ahmed , Addo, Isaac Yeboah , Adedoyin, Rufus Adesoji , Adra, Saryia , Ahinkorah, Bright Opoku , Ahmed, Ali , Ahmed, Haroon , Ahmed, Syed Anees , Aji, Budi , Al‐Ajlouni, Yazan A. , Al‐Aly, Ziyad , ALBashtawy, Mohammed , Aljunid, Syed Mohamed , Alomari, Mahmoud A. , Alrawashdeh, Ahmad , Alsabri, Mohammed A., Salman, Rustam Al‐Shahi , Al‐Tammemi, Ala’a B. , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Alzoubi, Karem Hasan , Amani, Reza, Anderlini, Deanna , Anil, Abhishek , Arabloo, Jalal , Ärnlöv, Johan , Arumugam, Ashokan , Aryan, Zahra , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Athari, Seyyed Shamsadin , Azzam, Ahmed Y , Babu, Giridhara R. , Bako, Abdulaziz Tijjani , Banach, Maciej , Bandyopadhyay, Soham , Banik, Biswajit , Bardhan, Mainak , Barqawi, Hiba Jawdat , Barua, Lingkan , Beyene, Kebede Abera , Bhat, Vivek, Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Bijani, Ali , Bikbov, Boris , Birhanu, Mulugeta Molla , Bitra, Veera Raghavulu , Boloor, Archith , Brenner, Hermann , Bugiardini, Raffaele , Călina, Daniela Cornelia , Campos, Luciana Aparecida , Campos‐Nonato, Ismael , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catapano, Alberico Luigi , Cegolon, Luca , Chakraborty, Chiranjib , Chakraborty, Sandip , Chandika, Rama Mohan , Chaudhary, Anis Ahmad , Chi, Gerald , Ching, Patrick R , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chowdhury, E. , Chu, Dinh‐Toi , Chung, Sheng‐Chia , Silva, Alanna Gomes da , Dai, Xiaochen , Dalal, Koustuv , D’Amico, Emanuele , Dashti, Mohsen , Davletov, Kairat , Cruz-Góngora, Vanessa Vianey De la , Delgado‐Enciso, Iván , Devanbu, Vinoth Gnana Chellaiyan, Dibas, Mahmoud , Doheim, Mohamed Fahmy , Dongarwar, Deepa , D’Oria, Mario , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Efendi, Defi , Efendi, Ferry , Elhadi, Muhammed , Eltahir, Mohd. Elmagzoub , Fabin, Natalia , Fagbamigbe, Adeniyi Francis , Fahim, Ayesha , Fares, Jawad , Ferreira, Nuno Bravo , Gandhi, Aravind P. , Garg, Ravindra Kumar , Gebrehiwot, Mesfin , Ghadimi, Delaram J. , Ghahramani, Sulmaz , Ghazy, Ramy Mohamed , Ghozy, Sherief , Gilani, Jaleed Ahmed , Gnedovskaya, Elena V. , Hadei, Mostafa , Hamidi, Samer , Hanifi, Nasrin , Haro, Josep María , Hasan, Faizul , Tabatabaei, Mahgol Sadat Hassan Zadeh , Heidari, Mohammad , Hemmati, Mehdi , Holla, Ramesh , Hostiuc, Sorin , Huang, Junjie , Huynh, Hong-Han , Ikeda, Nayu , Ilaghi, Mehran , Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Islam, Md. Rabiul , Ismail, Nahlah Elkudssiah , Iso, Hiroyasu , Jafarzadeh, Abdollah , Jairoun, Ammar Abdulrahman , Kalani, Rizwan, Kamal, Vineet Kumar , Kanchan, Tanuj , Karami, Jafar , Karaye, Ibraheem M. , Karimi, Yeganeh , Kesse‐Guyot, Emmanuelle , Khan, Fayaz, Khatatbeh, Haitham , Khatatbeh, Moawiah Mohammad , Kheirallah, Khalid Ahmed , Khidri, Feriha Fatima , Khormali, Moein , Kısa, Adnan , Kısa, Sezer , Kivimäki, Mika , Kolahi, Ali‐Asghar , Kompani, Farzad , Kostev, Karel , Kothari, Nikhil , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kusuma, Dian Palupi , Kytö, Ville , Vecchia, Carlo La , Lahariya, Chandrakant , Latief, Kamaluddin , Lee, Seung Won , Lee, Wei‐Chen , Leonardi, Matilde, Liu, Xuefeng , Lohner, Valerie , Lorenzovici, László , Lotufo, Paulo A. , Lucchetti, Giancarlo , Lusk, Jay B. , Amin, Hawraz Ibrahim M. , Malhotra, Armaan Kush , Malhotra, Kashish , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Mantovani, LG , Manu, Emmanuel, Marino, Mirko , Martínez, Ramón , Martini, Santi , Martorell, Miquel , Marzo, Roy Rillera , Mathangasinghe, Yasith , Mathews, Elezebeth , Mehmood, Asim , Mehrabani-Zeinabad, Kamran , Menezes, Ritesh G. , Meo, Sultan A , Meretoja, Atte , Meštrović, Tomislav , Sá, Ana Carolina Micheletti Gomide Nogueira de , Minh, Le Huu Nhat , Mirică, Andreea , Мirrakhimov, Erkin М , Mirza‐Aghazadeh‐Attari, Mohammad , Mishra, Ajay Kumar , Mohamed, Ahmed Ismail , Mohammadi, Soheil , Mohammadian-Hafshejani, Abdollah , Mokdad, Ali H. , Molinaro, Sabrina , Momani, Shaher , Ghalibaf, AmirAli Moodi , Moradi, Maryam , Msherghi, Ahmed A.A. , Ansari, Noureddin Nakhostin , Nargus, Shumaila , Natto, Zuhair S. , Nauman, Javaid , DELETE-ME, Nawsherwan, Nayak, Vinod C , Newton, Charles R. , Nigatu, Yeshambel T. , Noubiap, Jean Jacques , Nugen, Fred , Oduro, Michael Safo , Okati‐Aliabad, Hassan , Okeke, Sylvester Reuben , Okekunle, Akinkunmi Paul , Olagunju, Andrew T , Olaiya, Muideen Tunbosun , Olufadewa, Isaac Iyinoluwa , Ornello, Raffaele , Ortiz‐Prado, Esteban , Ouyahia, Amel , Owolabi, Mayowa , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Leonidas D , Pantazopoulos, Ioannis N. , Parikh, Romil R., Patel, Jay , Patel, Urvish , Patoulias, Dimitrios , Pereira, Gavin F , Perianayagam, Arokiasamy , Perna, Simone , Petermann‐Rocha, Fanny , Philip, Anil K. , Пирадов, М. А. , Pradhan, Jalandhar , Puvvula, Jagadeesh , Qasim, Nameer Hashim , Raggi, Alberto , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rahmani, Amir Masoud , Sanati, Ali Rajabpour , Ramasamy, Shakthi Kumaran , Ramazanu, Sheena , Rathish, Devarajan , Rawaf, Salman , Redwan, Elrashdy M , Remuzzi, Giuseppe , Romoli, Michele, Romozzi, Marina , Ross, Allen Guy , Rout, Himanshu Sekhar , Roy, Priyanka , Saad, Aly M A , Saadatian, Zahra , Sabour, Siamak , Sacco, Simona , Sadeghi, Erfan , Saeed, Usman, Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajib, Md Refat Uz Zaman , Saleh, Mohamed A. , Samodra, Yoseph Leonardo , MİLİCEVİC, Milena Santric, Saravanan, Aswini , Sarkar, Tanmay, Sarode, Sachin Chakradhar , Sartorius, Benn , Satpathy, Maheswar , Schneider, Ione Jayce Ceola , Schuermans, Art , Selvaraj, Siddharthan , Senthilkumaran, Subramanian , Sepanlou, Sadaf Ghajarieh , Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shannawaz, Mohammed , Rad, Javad Sharifi, Sharma, Vishal , Shittu, Aminu , Shiue, Ivy , Shlobin, Nathan A. , Siddig, Emmanuel Edwar , Spartalis, Michael , Stanaway, Jeffrey D , Starodubova, Antonina Vladimirovna , Szarpak, Łukasz , Tabatabaeizadeh, Seyed‐Amir , Tabatabaeizadeh, Seyed-Amir, Talaat, Iman Mamdouh , Temsah, Mohamad‐Hani , Thakur, Ramna , Thirunavukkarasu, Sathish, Tiwari, Krishna, Truyen, Thien Tan Tri Tai , Tsai, Daniel Hsiang‐Te , Ullah, Atta , Unnikrishnan, Bhaskaran , Unsworth, Carolyn Anne, Usman, Jibrin Sammani , Valizadeh, Rohollah , Varghese, Joe , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vervoort, Dominique , Villafañe, Jorge Hugo , Vinayak, Manish , Wafa, Hatem A , Walde, Mandaras Tariku, Willeit, Peter , Wolfe, Charles D.A. , Wolfe, Charles D. A., Yamagishi, Kazumasa , Yaribeygi, Habib , Yaya, Sanni , Ye, Pengpeng, Yonemoto, Naohiro , Yu, Chuanhua , Zastrozhin, Michael, Zhang, Chen , Zhang, Zhiqiang, Zielińska, Magdalena , Zyoud, Samer H. , Roth, Gregory A. , Feigin, Valery L. , Kulimbet, Mukhtar , Rahim, Fakher

JAMA Neurology | May 23, 2025 | Volume: 82 | Issue: 8 | Pages: 765

10.1001/jamaneurol.2025.1522 Get It

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.
Gastrointestinal Safety Assessment of GLP-1 Receptor Agonists in the US: A Real-World Adverse Events Analysis from the FAERS Database
Osei, Samuel Prince , Akomaning, Edwin , Florut, Teodora Francesca, Lacy, Brian E. , Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa A , Bhagavathula, Akshaya Srikanth , Sodhi, Mohit , Aldhaleei, Wafa Ali

Diagnostics | December 16, 2024 | Volume: 14 | Issue: 24 | Pages: 2829

10.3390/diagnostics14242829 Get It

Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are commonly used to treat obesity and diabetes but are linked to a variety of gastrointestinal (GI) adverse events (AEs). Real-world data on GLP-1 RA-related GI AEs and outcomes are limited. This study assessed GI AEs and adverse outcomes using the US FDA Adverse Event Reporting System (FAERS). Methods: This retrospective pharmacovigilance study used the US FDA FAERS database (2007–2023). We searched GLP-1 RA medications, AEs, and adverse outcomes. Demographic, treatment indication, and AE data were collected. Descriptive analysis involved frequencies and percentages, while reporting odds ratio (ROR), proportional reporting ratio, Bayesian confidence propagation neural network, and multivariate logistic regression were used to analyze GLP-1 RA-related GI AEs and outcomes. Results: From 2007 to 2023, a total of 187,757 AEs were reported with GLP-1 RAs, and 16,568 were GLP-1 RA-associated GI AEs in the US. Semaglutide was linked to higher odds of nausea (IC025: 0.151, βCoeff: 0.314), vomiting (IC025: 0.334, βCoeff: 0.495), and delayed gastric emptying (IC025: 0.342, βCoeff: 0.453). Exenatide was associated with pancreatitis (IC025: 0.601, βCoeff: 0.851) and death (ROR: 4.50, IC025: 1.101). Overall, semaglutide had a broader range of notable adverse effects; by comparison, dulaglutide and liraglutide use was associated with fewer significant GI AEs. Conclusions: Analysis of the FAERS data reveals that GLP-1 RAs, particularly semaglutide and exenatide, are significantly associated with specific GI AEs, such as nausea, vomiting, delayed gastric emptying, and pancreatitis. Clinicians should be aware of these potential risks to ensure optimal monitoring and patient safety. This study demonstrated the utility of pharmacovigilance data in identifying safety signals, which can inform future pharmacoepidemiological investigations to confirm causal relationships. Clinicians should be aware of these potential risks to ensure optimal monitoring and patient safety.
AI-Enhanced Epidemiology Education: Bridging Technology and Conceptual Understanding
Bhagavathula, Akshaya Srikanth , Bhagavathula, Akshaya Srikanth

International Journal of Translational Medical Research and Public Health | October 18, 2024 | Volume: 8 | Issue: No issue available | Pages: e011

10.25259/ijtmrph_55_2024 Get It

This article explores the integration of artificial intelligence (AI) and innovative teaching methods in epidemiology education, emphasizing a balanced approach to enhance learning outcomes. While traditional teaching focuses on core concepts and rubric-based evaluation offers consistency, overreliance on these methods can lead to superficial understanding. Creative and experiential learning activities, such as poems, cartoons, and ungrading, foster deeper engagement and mastery. Technological tools such as simulated outbreak investigations, virtual epidemiology games, and augmented reality programs provide hands-on experience and inspire motivated learning. Emphasizing critical thinking and practical skills, a balanced approach leveraging rubrics, AI, and innovative methods is essential for comprehensive and effective epidemiology education.
Trends in racial/ethnic and geographic disparities in substance use disorders mortality in the United States, 2000–2019
Bhagavathula, Akshaya Srikanth , Daglis, Theodoros, Nishimura, Yoshito , Bhagavathula, Akshaya S, Bhagavathula, Akshaya Srikanth , Nishimura, Yoshito

The American Journal on Addictions | October 10, 2024 | Volume: 34 | Issue: 1 | Pages: 93-100

10.1111/ajad.13654 Get It

AbstractBackground and ObjectivesSubstance use disorders (SUD) are a major public health concern in the United States. This study examined racial/ethnic and state‐level disparities in SUD mortality in the United States from 2000 to 2019.MethodsAge‐standardized mortality rates for SUD were obtained for 5 racial/ethnic groups (White respondents, Black respondents, Latino, Asian‐Pacific Islander [API], American Indian/Alaska Native [AIAN]) by state and sex from 2000 to 2019. Joinpoint regression analysis was used to model temporal trends overall and by demographic factors.ResultsFrom 2000 to 2019, the overall mortality rate increased from 8.0 to 28.8 deaths per 100,000 population across all groups. AIANs had the highest mortality in 2019 (57.8 per 100,000), followed by Black respondents, White respondents, Latinos, and APIs. Significant increases occurred across all racial/ethnic groups, with the greatest average annual percentage change (AAPC2000–2019) among White respondents (6.7%; 95% confidence interval [CI]: 6.2%–7.3%), APIs (6.0%, 95% CI: 5.6%–6.2%), and AIANs (5.9%, 95% CI: 5.6%–6.2%). Mortality rates increased more rapidly for females than males among White respondents, AIANs, Black respondents, and Latinos. Substantial state‐level variation emerged, with the highest mortality rates in 2019 seen in West Virginia, the District of Columbia, Delaware, Ohio, and Pennsylvania.Discussion and ConclusionsRacial/ethnic and geographic disparities in SUD mortality have widened significantly from 2000 to 2019, highlighting priority areas for prevention efforts.Scientific SignificanceThis study provides detailed insights into long‐term trends in racial, ethnic, and geographic disparities in SUD mortality across the United States, informing targeted prevention and intervention strategies.
Trends in adverse effects of medical treatment in Paediatric populations in the United States: A global burden of disease study, 2000–2019
Fujiwara, Shintaro , Leibovitch, Emily , Nishimura, Yoshito , Woo, Russell , Bhagavathula, Akshaya Srikanth , Nishimura, Yoshito , Bhagavathula, Akshaya Srikanth , Harada, Ko , Otsuka, Fumio

Paediatric and Perinatal Epidemiology | September 3, 2024 | Volume: 38 | Issue: 8 | Pages: 692-699

10.1111/ppe.13116 Get It

AbstractBackgroundAdverse effects of medical treatment (AEMT) pose significant risks to paediatric patients. However, the mortality trends associated with AEMT in this population have been unclear.ObjectiveWe aimed to clarify the trends in the incidence, disability‐adjusted life years (DALYs) and mortality rates of AEMT for children in the US from 2000 to 2019.MethodsData were retrieved from the Global Burden of Disease study 2019. We estimated age‐standardized incidence, DALYs and mortality rates of paediatric AEMT per 100,000 children in the US using a Bayesian meta‐regression model. We also analysed incidence, DALYs and mortality in different age groups, and employed Joinpoint regression models to assess the age‐ and sex‐specific trends.ResultsThe number of deaths due to AEMT in children, the number of cases, and DALYs were 105.1, 551,076 and 145,555 in 2019, decreased by 37.5%, 6% and 28% from those in 2000, respectively. Age‐standardized mortality rates decreased across all age groups, while the incidence increased across all age groups with an average annual percentage change (AAPC) of 2.2% in those children <1 year and 4.5% in 5–9 years of age. The increases in DALYs over time was higher in children aged 1–4 years (AAPC: 0.51, 95% CI: 0.47, 0.62) and 5–9 years (AAPC: 0.33, 95% CI: 0.15, 0.50), with the 1–4 year age group being the highest.ConclusionThe study reveals declining AEMT mortality but rising incidence and DALYs, emphasizing a disproportionate burden in <1, 1–4 and 5–9 years. To develop effective mitigation strategies, future research is warranted to identify the causes of increased AEMT in children, especially young males.
Trends and Age–Period–Cohort Effect on the Incidence of Early-Onset Colorectal Cancer (20–44 Years) from 1990 to 2021 in the United States
Wallace, Michael B. , Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa A , Wallace, Michael B , Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa Ali

Cancers | August 20, 2024 | Volume: 16 | Issue: 16 | Pages: 2883

10.3390/cancers16162883 Get It

The incidence of early-onset colorectal cancer (EO-CRC) in individuals under 50 years old is rapidly increasing in the United States. This study aims to evaluate EO-CRC incidence rates using data from the Global Burden of Disease Study (GBD) 2021, providing insights into trends from 1990 to 2021. We employed an age–period–cohort (APC) model analysis to estimate the effects of age, time period, and birth cohort on EO-CRC incidence. Our findings indicate that the number of EO-CRC cases rose from 6256 (95% UI: 6059–6456) in 1990 to 9311 (95% UI: 8859–9744) in 2021, a 49% increase from 1990 to 2021. The age-standardized incidence rate per 100,000 population increased by 34% during this period. The net drift in females (0.22%, 95% CI: 0.20–0.24) was slightly higher than in males (0.21%, 95% CI: 0.19–0.23) (p = 0.45). The APC analysis revealed that being over 25 years old, the period from 2005–2021, and being born after 1983 negatively impacted EO-CRC incidence rates, with a sharp rise after 2000 and a reduction among females from 2017 to 2021. Our study highlights the need for targeted prevention strategies and further research to understand these trends.
New Onset Inflammatory Bowel Disease Risk Following Bariatric Surgery: A Systematic Review and Meta-Analysis of Observational Studies
Odah, Tarek , Bakheet, Nader , Jett, Heather , Hashash, Jana G. , Wallace, Michael B. , Kumbhari, Vivek , Bhagavathula, Akshaya Srikanth , Wallace, Michael B , Hashash, Jana G , Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa Ali , Farraye, Francis A.

Gastroenterology Insights | August 14, 2024 | Volume: 15 | Issue: 3 | Pages: 708-719

10.3390/gastroent15030050 Get It

Background: While bariatric surgery may reduce obesity-associated inflammation, alterations in gut microbiome and nutrition could impact inflammatory bowel disease (IBD) risk. This study aimed to investigate the association between bariatric surgery and new onset IBD. Methods: A systematic review and meta-analysis of observational studies was conducted from inception to 31 January 2024. Risk estimates were pooled using a DerSimonian and Laird random-effects model, and adjusted hazards ratios (HRs) with corresponding 95% confidence interval (CI) were reported. The modified Newcastle-Ottawa Quality Assessment Scale (NOS) was used to examine the risk of bias. Results: Of 98 articles screened, four studies comprising 4,727,600 participants were included in the systematic review and two studies in the meta-analysis. Included studies had high quality and low risk of bias according to NOS. The pooled analysis revealed a significant risk of new onset IBD (HR: 1.28, 95% CI: 1.04–1.53, I2 = 74.9%), particularly Crohn’s disease (HR: 1.75, 1.59–1.92, I2 = 0), following bariatric surgery, but no significant risk of ulcerative colitis (HR: 0.93, 0.75–1.11, I2 = 11.5%). Conclusions: This meta-analysis found that bariatric surgery was associated with a higher risk of developing Crohn’s disease. Patients should be counseled on IBD risk pre-surgery, and symptomatic patients should be evaluated post-surgery to enable early diagnosis and management.
Glucagon-like Peptide-1 Receptor Agonists Associated Gastrointestinal Adverse Events: A Cross-Sectional Analysis of the National Institutes of Health All of Us Cohort
Aldhaleei, Wafa Ali , Abegaz, Tadesse Melaku , Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa A , Bhagavathula, Akshaya Srikanth

Pharmaceuticals | February 2, 2024 | Volume: 17 | Issue: 2 | Pages: 199

10.3390/ph17020199 Get It

Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are commonly used diabetes and obesity medications but have been associated with gastrointestinal (GI) adverse events. However, real-world evidence on comparative GI adverse reaction profiles is limited. Objectives: This study aimed to evaluate GI adverse events among GLP-1 RA users and compare semaglutide, dulaglutide, liraglutide, and exenatide safety regarding the GI adverse reaction profile. Methods: This retrospective cross-sectional analysis utilized real-world data on 10,328 adults with diabetes/obesity in the National Institutes of Health All of Us cohort. New GLP-1 RA users were identified, and GI adverse events were examined. Logistic regression determined factors associated with GI adverse events. Results: The mean age of the study population was 61.4 ± 12.6 years, 65.7% were female, 51.3% were White, and they had a high comorbidity burden. Abdominal pain (57.6%) was the most common GI adverse event, followed by constipation (30.4%), diarrhea (32.7%), nausea and vomiting (23.4%), GI bleeding (15.9%), gastroparesis (5.1%), and pancreatitis (3.4%). Dulaglutide and liraglutide had higher rates of abdominal pain, constipation, diarrhea, and nausea and vomiting than semaglutide and exenatide. Liraglutide and exenatide had the highest pancreatitis (4.0% and 3.8%, respectively). Compared to semaglutide, dulaglutide and liraglutide had higher odds of abdominal pain, and nausea and vomiting. They also had higher odds of gastroparesis than semaglutide. No significant differences existed in GI bleeding or pancreatitis risks between the GLP-1 RAs. Conclusions: In this real-world cohort, GI adverse events were common with GLP-1 RAs. Differences in GI safety profiles existed between agents, with exenatide appearing safer than other GLP-1 RAs, except for gastroparesis. These findings can inform GLP-1 RA selection considering GI risk factors. Further studies are needed to evaluate the causal relationship and GLP-1 RA safety with concomitant medication use.
Alcohol and Substance Use Among the Working Age Population: A Nationwide Study of Fall-Related Emergency Department Visits
Bhagavathula, Akshaya Srikanth , Aldhaleei, Wafa Ali , Aldhaleei, Wafa A, Aldhaleei, Wafa A , Bhagavathula, Akshaya Srikanth

Journal of Studies on Alcohol and Drugs | January 25, 2024 | Volume: 85 | Issue: 3 | Pages: 330-338

10.15288/jsad.23-00330 Get It