Individuals with obesity and COVID-19: a global perspective on the epidemiology and biological relationships

SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor

Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286 · see citing works

Dexamethasone in Hospitalized Patients with Covid-19

The RECOVERY Collaborative Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2021436 · Cited by 11,477 · see citing works

Effect of Dexamethasone in Hospitalized Patients with COVID-19 – Preliminary Report

Horby, P., Lim, W. S., Emberson, J., Mafham, M., Bell, J., Linsell, L., Staplin, N., Brightling, C., Ustianowski, A., Elmahi, E., et al. (2020) · doi:10.1101/2020.06.22.20137273 · Cited by 11,475 · see citing works

Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area

Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254 · see citing works

Health effects of overweight and obesity in 195 countries over 25 years

Collaborators, T. G. 2. O. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1614362 · Cited by 7,918 · see citing works

Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants.

(2016) · The Lancet · doi:10.1016/s0140-6736(16)30054-x · Cited by 5,212 · see citing works

Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

Ruan, Q., Yang, K., Wang, W., Jiang, L., & Song, J. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-05991-x · Cited by 4,898 · see citing works

Clinical and immunological features of severe and moderate coronavirus disease 2019

Chen, G., Wu, D., Guo, W., Cao, Y., Huang, D., Wang, H., Wang, T., Zhang, X., Chen, H., Yu, H., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci137244 · Cited by 4,750 · see citing works

The trinity of COVID-19: immunity, inflammation and intervention

Tay, M. Z., Poh, C. M., Rénia, L., MacAry, P. A., & Ng, L. F. P. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0311-8 · Cited by 4,360 · see citing works

Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals

Grifoni, A., Weiskopf, D., Ramirez, S. I., Mateus, J., Dan, J. M., Moderbacher, C. R., Rawlings, S. A., Sutherland, A., Premkumar, L., Jadi, R. S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.015 · Cited by 3,595 · see citing works

Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study

Docherty, A. B., Harrison, E. M., Green, C. A., Hardwick, H. E., Pius, R., Norman, L., Holden, K. A., Read, J. M., Dondelinger, F., Carson, G., et al. (2020) · BMJ · doi:10.1136/bmj.m1985 · Cited by 3,481 · see citing works

Effective treatment of severe COVID-19 patients with tocilizumab

Xu, X., Han, M., Li, T., Sun, W., Wang, D., Fu, B., Zhou, Y., Zheng, X., Yang, Y., Li, X., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005615117 · Cited by 2,636 · see citing works

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period

Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611 · see citing works

Covid-19 in Critically Ill Patients in the Seattle Region — Case Series

Bhatraju, P. K., Ghassemieh, B. J., Nichols, M., Kim, R., Jerome, K. R., Nalla, A. K., Greninger, A. L., Pipavath, S. N. J., Wurfel, M. M., Evans, L., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2004500 · Cited by 2,588 · see citing works

n−3 Polyunsaturated fatty acids, inflammation, and inflammatory diseases

Calder, P. C. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/83.6.1505s · Cited by 2,525 · see citing works

Pathogenic human coronavirus infections: Causes and consequences of cytokine storm and immunopathology

Channappanavar, R., & Perlman, S. (2017) · Seminars in Immunopathology · doi:10.1007/s00281-017-0629-x · Cited by 2,524 · see citing works

Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed coronavirus disease 2019 - COVID-NET, 14 states, march 1-30, 2020

Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R., Prill, M., Chai, S. J., Kirley, P. D., Alden, N. B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6915e3 · Cited by 2,335 · see citing works

Clinical Characteristics of Covid-19 in New York City

Goyal, P., Choi, J. J., Pinheiro, L. C., Schenck, E. J., Chen, R., Jabri, A., Satlin, M. J., Campion, T. R., Nahid, M., Ringel, J. B., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2010419 · Cited by 2,234 · see citing works

Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey.

Di Renzo, L., Gualtieri, P., Pivari, F., Soldati, L., Attinà, A., Cinelli, G., Leggeri, C., Caparello, G., Barrea, L., Scerbo, F., et al. (2020) · Journal of Translational Medicine · doi:10.1186/s12967-020-02399-5 · Cited by 2,234 · see citing works

High Prevalence of Obesity in Severe Acute Respiratory Syndrome Coronavirus‐2 (SARS‐CoV‐2) Requiring Invasive Mechanical Ventilation

Simonnet, A., Chetboun, M., Poissy, J., Raverdy, V., Noulette, J., Duhamel, A., Labreuche, J., Mathieu, D., Pattou, F. N., Jourdain, M., et al. (2020) · Obesity · doi:10.1002/oby.22831 · Cited by 2,079 · see citing works

Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake

Hall, K. D., Ayuketah, A., Brychta, R., Cai, H., Cassimatis, T., Chen, K. Y., Chung, S. T., Costa, E., Courville, A., Darcey, V., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.008 · Cited by 1,971 · see citing works

Cytokine release syndrome in severe COVID-19

Moore, J. B., & June, C. H. (2020) · Science · doi:10.1126/science.abb8925 · Cited by 1,912 · see citing works

SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls

Le Bert, N., Tan, A. T., Kunasegaran, K., Tham, C. Y. L., Hafezi, M., Chia, A., Chng, M. H. Y., Lin, M., Tan, N., Linster, M., et al. (2020) · Nature · doi:10.1038/s41586-020-2550-z · Cited by 1,887 · see citing works

Dynamics of the double burden of malnutrition and the changing nutrition reality

Popkin, B. M., Corvalán, C., & Grummer‐Strawn, L. M. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32497-3 · Cited by 1,733 · see citing works

Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study

Tan, L., Wang, Q., Zhang, D., Jinya, D., Huang, Q., Wang, Q., Wang, Q., & Miao, H. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0148-4 · Cited by 1,684 · see citing works

Immunology of COVID-19: Current State of the Science

Vabret, N., Britton, G. J., Gruber, C., Hegde, S., Kim, J., Kuksin, M., Levantovsky, R., Malle, L., Moreira, A., Park, M. D., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.05.002 · Cited by 1,623 · see citing works

Association of Blood Glucose Control and Outcomes in Patients with COVID-19 and Pre-existing Type 2 Diabetes

Zhu, L., She, Z., Cheng, X., Qin, J., Zhang, X.-J., Cai, J., Lei, F., Wang, H., Xie, J., Wang, W., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.04.021 · Cited by 1,613 · see citing works

Longitudinal observation and decline of neutralizing antibody responses in the three months following SARS-CoV-2 infection in humans

Seow, J., Graham, C., Merrick, B., Acors, S., Pickering, S., Steel, K. J. A., Hemmings, O., O’Byrne, A., Kouphou, N., Galao, R. P., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-020-00813-8 · Cited by 1,419 · see citing works

SARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19

Braun, J., Loyal, L., Frentsch, M., Wendisch, D., Georg, P., Kurth, F., Hippenstiel, S., Dingeldey, M., Kruse, B., Fauchere, F., et al. (2020) · Nature · doi:10.1038/s41586-020-2598-9 · Cited by 1,310 · see citing works

Obesity in Patients Younger Than 60 Years Is a Risk Factor for COVID-19 Hospital Admission

Lighter, J., Phillips, M., Hochman, S. E., Sterling, S., Johnson, D., François, F., & Stachel, A. G. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa415 · Cited by 1,233 · see citing works

Socioeconomic status and obesity in adult populations of developing countries: A review

Conde, W. L., Popkin, B. M., Monteiro, C. A., & Moura, E. C. (2020) · Europe PMC (PubMed Central) · doi:10.17615/wct3-tp55 · Cited by 1,096 · see citing works

Consumption of ultra-processed foods and cancer risk: results from NutriNet-Santé prospective cohort.

Fiolet, T., Srour, B., Sellem, L., Kesse-Guyot, E., Allès, B., Méjean, C., Deschasaux, M., Fassier, P., Latino-Martel, P., Beslay, M., et al. (2018) · BMJ · doi:10.1136/bmj.k322 · Cited by 1,057 · see citing works

Polyunsaturated fatty acids in the food chain in the United States

Kris-Etherton, P., Taylor, D. S., Yu-Poth, S., Huth, P., Moriarty, K., Fishell, V., Hargrove, R. L., Zhao, G., & Etherton, T. D. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/71.1.179s · Cited by 1,023 · see citing works

Organizational Update

Mendis, S., Davis, S. M., & Norrving, B. G. (2015) · Stroke · doi:10.1161/strokeaha.115.008097 · Cited by 1,023 · see citing works

Molecular Understanding of Hyperglycemia's Adverse Effects for Diabetic Complications

Sheetz, M. J. (2002) · JAMA · doi:10.1001/jama.288.20.2579 · Cited by 1,003 · see citing works

Ultra-processed food intake and risk of cardiovascular disease: Prospective cohort study (NutriNet-Sante)

Srour, B., Fezeu, L. K., Kesse-Guyot, E., Allès, B., Méjean, C., Andrianasolo, R. M., Chazelas, E., Deschasaux, M., Hercberg, S., Galan, P., et al. (2019) · BMJ · doi:10.1136/bmj.l1451 · Cited by 955 · see citing works

Metabolic regulation of immune responses

Ganeshan, K., & Chawla, A. (2014) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032713-120236 · Cited by 926 · see citing works

Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York

Palaiodimos, L., Kokkinidis, D. G., Li, W., Karamanis, D., Ognibene, J., Arora, S., Southern, W. N., & Mantzoros, C. S. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154262 · Cited by 864 · see citing works

The Obesity Epidemic Is a Worldwide Phenomenon

Popkin, B. M., & Doak, C. M. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1998.tb01722.x · Cited by 859 · see citing works

COVID‐19–Related School Closings and Risk of Weight Gain Among Children

Rundle, A., Park, Y., Herbstman, J. B., Kinsey, E. W., & Wang, Y. C. (2020) · Obesity · doi:10.1002/oby.22813 · Cited by 828 · see citing works

Immunophenotyping of COVID-19 and influenza highlights the role of type I interferons in development of severe COVID-19

Lee, J. S., Park, S.-W., Jeong, H. W., Ahn, J. Y., Choi, S. J., Lee, H., Choi, B., Nam, S. K., Sa, M., Kwon, J., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abd1554 · Cited by 805 · see citing works

Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series

Argenziano, M., Bruce, S. L., Slater, C. L., Tiao, J. R., Baldwin, M. R., Barr, R. G., Chang, B., Chau, K. H.-Y., Choi, J. J., Gavin, N. P., et al. (2020) · BMJ · doi:10.1136/bmj.m1996 · Cited by 804 · see citing works

Adipocytokines and the Metabolic Complications of Obesity

Rasouli, N., & Kern, P. A. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-1613 · Cited by 744 · see citing works

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

NCD Risk Factor Collaboration (NCD-RisC), Bixby, H., Bentham, J., Zhou, B., Di Cesare, M., Paciorek, C. J., Bennett, J. E., Taddei, C., Stevens, G. A., Rodriguez-Martinez, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1171-x · Cited by 735 · see citing works

Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, China

Cai, Q., Chen, F., Wang, T., Luo, F., Liu, X., Wu, Q., He, Q., Wang, Z., Liu, Y., Liu, L., et al. (2020) · Diabetes Care · doi:10.2337/dc20-0576 · Cited by 706 · see citing works

Obesity Is a Risk Factor for Severe COVID-19 Infection

Sattar, N. A., McInnes, I. B., & McMurray, J. J. V. (2020) · Circulation · doi:10.1161/circulationaha.120.047659 · Cited by 706 · see citing works

Prevalence of comorbidities in the Middle East respiratory syndrome coronavirus (MERS-CoV): a systematic review and meta-analysis

Badawi, A. F., & Ryoo, S. G. (2016) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2016.06.015 · Cited by 703 · see citing works

Clinical Characteristics and Morbidity Associated With Coronavirus Disease 2019 in a Series of Patients in Metropolitan Detroit

Suleyman, G., Fadel, R. A., Malette, K., Hammond, C., Abdulla, H., Entz, A., Demertzis, Z. D., Hanna, Z., Failla, A. J., Dagher, C., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.12270 · Cited by 695 · see citing works

Risk Factors for Intensive Care Unit Admission and In-hospital Mortality Among Hospitalized Adults Identified through the US Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET)

Kim, L., Garg, S., O’Halloran, A., Whitaker, M., Pham, H., Anderson, E. J., Armistead, I., Bennett, N. M., Billing, L., Como-Sabetti, K., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1012 · Cited by 649 · see citing works

Polyunsaturated fatty acids and inflammation

Calder, P. C. (2006) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2006.05.012 · Cited by 640 · see citing works

Ultra-Processed Food Consumption and Chronic Non-Communicable Diseases-Related Dietary Nutrient Profile in the UK (2008–2014)

Rauber, F., Da Costa Louzada, M. L., Steele, E., Millett, C., Monteiro, C. A., & Levy, R. B. (2018) · Nutrients · doi:10.3390/nu10050587 · Cited by 628 · see citing works

Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study

Baqui, P. O., Bica, I., Marra, V., Ercole, A., & van der Schaar, M. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30285-0 · Cited by 627 · see citing works

Obesity and impaired metabolic health in patients with COVID-19

Stefan, N., Birkenfeld, A. L., Schulze, M. B., & Ludwig, D. S. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0364-6 · Cited by 626 · see citing works

Ultraprocessed food consumption and risk of overweight and obesity: the University of Navarra Follow-Up (SUN) cohort study

Mendonça, R. D. D., Pimenta, A. M., Gea, A., de la Fuente-Arrillaga, C., Martinez-Gonzalez, M. A., Lopes, A. C. S., & Bes-Rastrollo, M. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.135004 · Cited by 618 · see citing works

Obesity is associated with impaired immune response to influenza vaccination in humans

Sheridan, P. A., Paich, H. A., Handy, J., Karlsson, E. A., Hudgens, M. G., Sammon, A. B., Holland, L., Weir, S. S., Noah, T. L., & Beck, M. A. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.208 · Cited by 598 · see citing works

Obesity and the risk and outcome of infection

Huttunen, R., & Syrjänen, J. (2012) · International Journal of Obesity · doi:10.1038/ijo.2012.62 · Cited by 595 · see citing works

Risk factors for SARS-CoV-2 among patients in the Oxford Royal College of General Practitioners Research and Surveillance Centre primary care network: a cross-sectional study

de Lusignan, S., Dorward, J., Correa, A., Jones, N. R., Akinyemi, O., Amirthalingam, G., Andrews, N., Byford, R. C., Dabrera, G., Elliot, A. J., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30371-6 · Cited by 593 · see citing works

Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK

Hamer, M., Mika Kivimaki, B., Galé, C. R., & Batty, G. D. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.05.059 · Cited by 575 · see citing works

Tracking global funding for the prevention and control of noncommunicable diseases.

Banerjee, A. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.12.108795 · Cited by 563 · see citing works

Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study

Rico-Campà, A., Martínez‐González, M. Á., Álvarez‐Álvarez, I., Mendonça, R. D. D., de la Fuente‐Arrillaga, C., Gómez‐Donoso, C., & Bes‐Rastrollo, M. (2019) · BMJ · doi:10.1136/bmj.l1949 · Cited by 535 · see citing works

An evaluation of Chile’s Law of Food Labeling and Advertising on sugar-sweetened beverage purchases from 2015 to 2017: A before-and-after study

Taillie, L. S., Marcela Reyes, J., Colchero, M. A., Popkin, B. M., & Corvalán, C. (2020) · PLoS Medicine · doi:10.1371/journal.pmed.1003015 · Cited by 516 · see citing works

Androgen-deprivation therapies for prostate cancer and risk of infection by SARS-CoV-2: a population-based study (N = 4532)

Montopoli, M., Zumerle, S., Vettor, R., Rugge, M., Zorzi, M., Catapano, C. V., Carbone, G. M., Cavalli, A., Pagano, F. C., Ragazzi, E., et al. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.04.479 · Cited by 516 · see citing works

Increased Estrogen Production in Obese Men*

SCHNEIDER, G. T., Kirschner, M. A., Berkowitz, R. D., & Ertel, N. H. (1979) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-48-4-633 · Cited by 507 · see citing works

Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico

Bello‐Chavolla, O. Y., Bahena-López, J. P., Antonio‐Villa, N. E., Vargas‐Vázquez, A., González-Díaz, A., Márquez‐Salinas, A., Fermín‐Martínez, C. A., Naveja, J. J., & Aguilar-Salinas, C. A. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa346 · Cited by 501 · see citing works

Consumption of ultra-processed food products and its effects on children's lipid profiles: A longitudinal study

Rauber, F., Campagnolo, P. D. B., Hoffman, D. J., & Vítolo, M. R. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.08.001 · Cited by 489 · see citing works

Ultra‐processed food consumption and the incidence of hypertension in a Mediterranean cohort: the Seguimiento Universidad de Navarra project

Mendonça, R. D. D., Lopes, A. C. S., Pimenta, A. M., Gea, A., Martinez-Gonzalez, M. A., & Bes-Rastrollo, M. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpw137 · Cited by 488 · see citing works

[Clinical characteristics and outcomes of 112 cardiovascular disease patients infected by 2019-nCoV].

Peng, Y., Meng, K., Guan, H., Leng, L., Zhu, R., Wang, B. Y., He, M. A., Cheng, L., Huang, K., & Zeng, Q. (2020) · PubMed · doi:10.3760/cma.j.cn112148-20200220-00105 · Cited by 469 · see citing works

Role of innate and adaptive immunity in obesity-associated metabolic disease

McLaughlin, T., Ackerman, S. E., Shen, L., & Engleman, E. G. (2017) · Journal of Clinical Investigation · doi:10.1172/jci88876 · Cited by 445 · see citing works

Association of Obesity with Disease Severity Among Patients with Coronavirus Disease 2019

Kalligeros, M., Shehadeh, F., Mylona, E. K., Benitez, G., Beckwith, C. G., Chan, P. A., & Mylonakis, E. E. (2020) · Obesity · doi:10.1002/oby.22859 · Cited by 442 · see citing works

Factors associated with hospitalization and critical illness among 4,103 patients with Covid-19 disease in New York CityPreprint

Petrilli, C. M., Jones, S., Yang, J., et al. (2020) · medRxiv · doi:10.1101/2020.04.08.20057794 · Cited by 435 · see citing works

Duration of Antibody Responses after Severe Acute Respiratory Syndrome

Wu, L.-P., Wang, N.-C., Chang, Y.-H., Tian, X.-Y., Na, D.-Y., Zhang, L.-Y., Zheng, L., Lan, T., Wang, L.-F., & Liang, G.-D. (2007) · Emerging Infectious Diseases · doi:10.3201/eid1310.070576 · Cited by 426 · see citing works

A Novel Risk Factor for a Novel Virus: Obesity and 2009 Pandemic Influenza A (H1N1)

Louie, J. K., Acosta, M. Y., Samuel, M., Schechter, R., Vugia, D. J., Harriman, K. H., Matyas, B. T., & the California Pandemic (H1N1) Working Group (2011) · Clinical Infectious Diseases · doi:10.1093/cid/ciq152 · Cited by 425 · see citing works

Elevated Proinflammatory Cytokine Production by a Skewed T Cell Compartment Requires Monocytes and Promotes Inflammation in Type 2 Diabetes

Jagannathan‐Bogdan, M., McDonnell, M. E., Shin, H., Rehman, Q., Hastürk, H., Apovian, C. M., & Nikolajczyk, B. S. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.1002615 · Cited by 418 · see citing works

Features of 16,749 hospitalised UK patients with COVID-19 using the ISARIC WHO Clinical Characterisation ProtocolPreprint

Docherty, A., Harrison, E., Green, C. A., et al. (2020) · medRxiv · doi:10.1101/2020.04.23.20076042 · Cited by 416 · see citing works

Longitudinal evaluation and decline of antibody responses in SARS-CoV-2 infectionPreprint

Seow, J., Graham, C., Merrick, B., Acors, S., Steel, K., Hemmings, O., O'Bryne, A., Kouphou, N., Pickering, S., Rui, G.-L. P., et al. (2020) · medRxiv · doi:10.1101/2020.07.09.20148429 · Cited by 411 · see citing works

Low plasma 25(OH) vitamin D level is associated with increased risk of COVID‐19 infection: an Israeli population‐based study

Merzon, E., Tworowski, D., Gorohovski, A., Vinker, S., Golan-Cohen, A., Green, I., & Morgenstern, M. F. (2020) · medRxiv · doi:10.1111/febs.15495 · Cited by 411 · see citing works

Risk Factors Associated With Clinical Outcomes in 323 Coronavirus Disease 2019 (COVID-19) Hospitalized Patients in Wuhan, China

Hu, L., Chen, S., Fu, Y., Gao, Z., Long, H., Ren, H., Zuo, Y., Li, H., Wang, J., Yu, W.-X., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa539 · Cited by 398 · see citing works

Association Between Ultraprocessed Food Consumption and Risk of Mortality Among Middle-aged Adults in France

Schnabel, L., Kesse-Guyot, E., Allès, B., Touvier, M., Srour, B., Hercberg, S., Buscail, C., & Julia, C. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.7289 · Cited by 390 · see citing works

Obesity Is a Risk Factor for Greater COVID-19 Severity

Gao, F., Zheng, K. I., Wang, X.-B., Sun, Q.-F., Pan, K.-H., Wang, T.-Y., Chen, Y.-P., Targher, G., Byrne, C., George, J., et al. (2020) · Diabetes Care · doi:10.2337/dc20-0682 · Cited by 376 · see citing works

T-Cell Profile in Adipose Tissue Is Associated With Insulin Resistance and Systemic Inflammation in Humans

McLaughlin, T., Liu, L.-F., Lamendola, C. A., Shen, L., Morton, J. M., Rivas, H., Winer, D. A., Tolentino, L. L., Choi, O., Zhang, H., et al. (2014) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.114.304636 · Cited by 368 · see citing works

Global trends in ultraprocessed food and drink product sales and their association with adult body mass index trajectories

Vandevijvere, S., Jaacks, L. M., Monteiro, C. A., Moubarac, J., Girling‐Butcher, M., Lee, A. C.-L., Pan, A., Bentham, J., & Swinburn, B. A. (2019) · Obesity Reviews · doi:10.1111/obr.12860 · Cited by 367 · see citing works

Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China

Li, T., Zhang, Y., Gong, C., Wang, J., Liu, B., Shi, L., & Duan, J. (2020) · European Journal of Clinical Nutrition · doi:10.1038/s41430-020-0642-3 · Cited by 351 · see citing works

From SARS to MERS: 10 years of research on highly pathogenic human coronaviruses

Hilgenfeld, R., & Peiris, M. J. S. (2013) · Antiviral Research · doi:10.1016/j.antiviral.2013.08.015 · Cited by 347 · see citing works

Body mass index is associated with the development of acute respiratory distress syndrome

Gong, M. N., Bajwa, E. K., Thompson, B., & Christiani, D. C. (2009) · Thorax · doi:10.1136/thx.2009.117572 · Cited by 338 · see citing works

Early antiviral treatment contributes to alleviate the severity and improve the prognosis of patients with novel coronavirus disease (COVID‐19)

Wu, J., Li, W., Shi, X., Chen, Z., Jiang, B., Liu, J., Wang, D., Liu, C., Meng, Y., Cui, L., et al. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13063 · Cited by 335 · see citing works

Prevalence of obesity among adult inpatients with COVID-19 in France

Caussy, C., Pattou, F. N., Wallet, F., et al. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30160-1 · Cited by 334 · see citing works

Letter to the Editor: obesity as a risk factor for greater severity of COVID-19 in patients with metabolic associated fatty liver disease

Zheng, K. I., Gao, F., Wang, X.-B., Sun, Q.-F., Pan, K.-H., Wang, T.-Y., Ma, H.-L., Chen, Y.-P., Liu, W.-Y., George, J., et al. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154244 · Cited by 332 · see citing works

Metabolic effects of obesity: A review

Singla, P. (2010) · World Journal of Diabetes · doi:10.4239/wjd.v1.i3.76 · Cited by 330 · see citing works

Is Adipose Tissue a Reservoir for Viral Spread, Immune Activation, and Cytokine Amplification in Coronavirus Disease 2019?

Ryan, P. M., & Caplice, N. M. (2020) · Obesity · doi:10.1002/oby.22843 · Cited by 323 · see citing works

Structural responses to the obesity and non‐communicable diseases epidemic: the C hilean L aw of F ood L abeling and A dvertising

Corvalán, C., Marcela Reyes, J., Garmendia, M. L., & Uauy, R. D. (2013) · Obesity Reviews · doi:10.1111/obr.12099 · Cited by 305 · see citing works

Middle East Respiratory Syndrome: Emergence of a Pathogenic Human Coronavirus

Fehr, A. R., Channappanavar, R., & Perlman, S. M. (2016) · Annual Review of Medicine · doi:10.1146/annurev-med-051215-031152 · Cited by 293 · see citing works

A Cohort of Patients with COVID-19 in a Major Teaching Hospital in Europe

Borobia, A. M., Carcas, A. J., Arnalich, F., Álvarez-Sala, R., Villatoro, J. M., Quintana‐Díaz, M., Figueira, J. C., Santos-Olmo, R. M. T., García‐Rodríguez, J., Martín-Vega, A., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9061733 · Cited by 288 · see citing works

Leptin Metabolically Licenses T Cells for Activation To Link Nutrition and Immunity

Saucillo, D. C., Gerriets, V. A., Sheng, J., Rathmell, J. C., & MacIver, N. J. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1301158 · Cited by 287 · see citing works

New dynamics in global obesity facing low‐ and middle‐income countries

Popkin, B. M., & Slining, M. M. (2013) · Obesity Reviews · doi:10.1111/obr.12102 · Cited by 284 · see citing works

Weight of nations: a socioeconomic analysis of women in low- to middle-income countries

Subramanian, S. V., Perkins, J. M., Özaltin, E., & Smith, G. D. (2010) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.004820 · Cited by 280 · see citing works

Insulin Receptor-Mediated Stimulation Boosts T Cell Immunity during Inflammation and Infection

Tsai, S., Clemente-Casares, X., Zhou, A. C., Lei, H., Ahn, J. J., Chan, Y. T., Choi, O., Luck, H., Woo, M., Dunn, S. E., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.08.003 · Cited by 272 · see citing works

Characteristics and predictors of hospitalization and death in the first 11 122 cases with a positive RT-PCR test for SARS-CoV-2 in Denmark: a nationwide cohort

Reilev, M., Kristensen, K. B., Pottegård, A., Lund, L. C., Hallas, J., Ernst, M., Christiansen, C. F., Sørensen, H. T., Johansen, N. B., Brun, N. C., et al. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa140 · Cited by 267 · see citing works

30-day mortality in patients hospitalized with COVID-19 during the first wave of the Italian epidemic: A prospective cohort study

Giacomelli, A., Ridolfo, A. L., Milazzo, L., Oreni, L. M., Bernacchia, D., Siano, M., Bonazzetti, C., Covizzi, A., Schiuma, M., Passerini, M., et al. (2020) · Pharmacological Research · doi:10.1016/j.phrs.2020.104931 · Cited by 264 · see citing works

Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994)

Kim, H., Hu, E. A., & Rebholz, C. M. (2019) · Public Health Nutrition · doi:10.1017/s1368980018003890 · Cited by 262 · see citing works

Increased risk of influenza among vaccinated adults who are obese

Neidich, S. D., Green, W. D., Rebeles, J., Karlsson, E. A., Schultz‐Cherry, S., Noah, T. L., Chakladar, S., Hudgens, M. G., Weir, S. S., & Beck, M. A. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.131 · Cited by 261 · see citing works

Ultra-processed food consumption and its effects on anthropometric and glucose profile: A longitudinal study during childhood

Costa, C. S., Rauber, F., Leffa, P. D. S., Sangalli, C. N., Campagnolo, P. D. B., & Vítolo, M. R. (2018) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2018.11.003 · Cited by 255 · see citing works

SARS-CoV-2 T cell immunity: Specificity, function, durability, and role in protection

Altmann, D., & Boyton, R. (2020) · Science immunology · doi:10.1126/sciimmunol.abd6160 · Cited by 255 · see citing works

The Role of Adipocytes and Adipocyte‐Like Cells in the Severity of COVID‐19 Infections

Kruglikov, I. L., & Scherer, P. E. (2020) · Obesity · doi:10.1002/oby.22856 · Cited by 252 · see citing works

Structural responses to the obesity and non‐communicable diseases epidemic: Update on the Chilean law of food labelling and advertising

Corvalán, C., Marcela Reyes, J., Garmendia, M. L., & Uauy, R. D. (2018) · Obesity Reviews · doi:10.1111/obr.12802 · Cited by 246 · see citing works

[Clinical characteristics of 30 medical workers infected with new coronavirus pneumonia].

Liu, M., He, P., Liu, H. G., Wang, X. J., Li, F. J., Chen, S., Lin, J., Chen, P., Liu, H., & Li, C. H. (2020) · PubMed · doi:10.3760/cma.j.issn.1001-0939.2020.0016 · Cited by 238 · see citing works

Ultra-processed food consumption and the incidence of depression in a Mediterranean cohort: the SUN Project

Gómez‐Donoso, C., Sánchez‐Villegas, A., Martínez‐González, M. Á., Gea, A., Mendonça, R. D. D., Lahortiga‐Ramos, F., & Bes‐Rastrollo, M. (2019) · European Journal of Nutrition · doi:10.1007/s00394-019-01970-1 · Cited by 231 · see citing works

Prospective association between ultra-processed food consumption and incident depressive symptoms in the French NutriNet-Santé cohort

Adjibade, M., Julia, C., Allès, B., Touvier, M., Lemogne, C., Srour, B., Hercberg, S., Galan, P., Assmann, K. E., & Kesse-Guyot, E. (2019) · BMC Medicine · doi:10.1186/s12916-019-1312-y · Cited by 227 · see citing works

Obesity and COVID-19 Severity in a Designated Hospital in Shenzhen, ChinaPreprint

Cai, Q., Chen, F., Fang, L., Liu, X., Tao, W., Wu, Q., He, Q., Zhaoqin, W., Liu, Y., Jun, C., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3556658 · Cited by 216 · see citing works

Ultra-processed food and adverse health outcomes

Lawrence, M. A., & Baker, P. (2019) · BMJ · doi:10.1136/bmj.l2289 · Cited by 210 · see citing works

Reduced tetanus antibody titers in overweight children

Eliakim, A., Swindt, C., Zaldivar, F., Casali, P., & Cooper, D. M. (2006) · Autoimmunity · doi:10.1080/08916930600597326 · Cited by 209 · see citing works

Obesity is Associated with Worse Outcomes in COVID‐19: Analysis of Early Data from New York City

Hajifathalian, K., Kumar, S. R., Newberry, C. A., Shah, S. L., Fortune, B. E., Krisko, T. I., Ortiz‐Pujols, S., Zhou, X. K., Dannenberg, A. J., Kumar, R. B., et al. (2020) · Obesity · doi:10.1002/oby.22923 · Cited by 205 · see citing works

The weight of obesity on the human immune response to vaccination

Painter, S. D., Ovsyannikova, I. G., & Poland, G. A. (2015) · Vaccine · doi:10.1016/j.vaccine.2015.06.101 · Cited by 203 · see citing works

Dexamethasone in the management of covid -19

Johnson, R. M., & Vinetz, J. M. (2020) · BMJ · doi:10.1136/bmj.m2648 · Cited by 200 · see citing works

“Obesity Paradox” in Acute Respiratory Distress Syndrome: Asystematic Review and Meta-Analysis

Guo, Z., Xin, W., Wang, Y., Guohong, X., & Shu-ying, L. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163677 · Cited by 199 · see citing works

Is the burden of overweight shifting to the poor across the globe? Time trends among women in 39 low- and middle-income countries (1991–2008)

Jones‐Smith, J. C., Gordon‐Larsen, P., Siddiqi, A., & Popkin, B. M. (2011) · International Journal of Obesity · doi:10.1038/ijo.2011.179 · Cited by 194 · see citing works

Omega-3 fatty acids cause dramatic changes in TLR4 and purinergic eicosanoid signaling

Norris, P. C., & Dennis, E. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200189109 · Cited by 193 · see citing works

Obesity: Health and Economic Consequences of an Impending Global Challenge

Shekar, M., & Popkin, B. M. (2019) · World Bank, Washington, DC eBooks · doi:10.1596/978-1-4648-1491-4 · Cited by 186 · see citing works

Overweight and obese adult humans have a defective cellular immune response to pandemic H1N1 Influenza a virus: Obese/Overweight Response to Influenza

Paich, H. A., Sheridan, P. A., Handy, J., Karlsson, E. A., Schultz-Cherry, S., Hudgens, M. G., Noah, T. L., Weir, S. S., & Beck, M. A. (2013) · Obesity · doi:10.1002/oby.20383 · Cited by 184 · see citing works

Importance of cholesterol-rich membrane microdomains in the interaction of the S protein of SARS-coronavirus with the cellular receptor angiotensin-converting enzyme 2

Glende, J., Schwegmann‐Weßels, C., Alfalah, M., Pfefferle, S., Qu, X., Deng, H., Drosten, C., Naim, H. Y., & Herrler, G. (2008) · Virology · doi:10.1016/j.virol.2008.08.026 · Cited by 184 · see citing works

Obesity is Associated with Severe Forms of COVID‐19

Caussy, C., Wallet, F., Laville, M., et al. (2020) · Obesity · doi:10.1002/oby.22842 · Cited by 179 · see citing works

Presence of SARS-CoV-2-reactive T cells in COVID-19 patients and healthy donorsPreprint

Braun, J., Loyal, L., Frentsch, M., et al. (2020) · medRxiv · doi:10.1101/2020.04.17.20061440 · Cited by 179 · see citing works

17β-Estradiol Protects Females against Influenza by Recruiting Neutrophils and Increasing Virus-Specific CD8 T Cell Responses in the Lungs

Robinson, D. P., Hall, O. J., Nilles, T. L., Bream, J. H., & Klein, S. L. (2014) · Journal of Virology · doi:10.1128/jvi.02081-13 · Cited by 175 · see citing works

Cross-National Comparisons of Time Trends in Overweight Inequality by Socioeconomic Status Among Women Using Repeated Cross-Sectional Surveys From 37 Developing Countries, 1989–2007

Jones‐Smith, J. C., Gordon‐Larsen, P., Siddiqi, A., & Popkin, B. M. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwq428 · Cited by 174 · see citing works

Morbidly Obese Human Subjects Have Increased Peripheral Blood CD4+ T Cells With Skewing Toward a Treg- and Th2-Dominated Phenotype

van der Weerd, K., Dik, W. A., Schrijver, B., Schweitzer, D. H., Langerak, A. W., Drexhage, H. A., Kiewiet, R. M., van Aken, M. O., van Huisstede, A., van Dongen, J. J. M., et al. (2012) · Diabetes · doi:10.2337/db11-1065 · Cited by 174 · see citing works

Pre-existing traits associated with Covid-19 illness severity

Ebinger, J. E., Achamallah, N., Ji, H., Claggett, B. L., Sun, N., Botting, P. G., Nguyen, T., Luong, E., Kim, E. H., Park, E. Y., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0236240 · Cited by 171 · see citing works

Obesity is Associated with Increased Risk for Mortality Among Hospitalized Patients with COVID‐19

Pettit, N. N., MacKenzie, E. L., Ridgway, J. P., Pursell, K. J., Ash, D., Patel, B. K., & Pho, M. T. (2020) · Obesity · doi:10.1002/oby.22941 · Cited by 165 · see citing works

Obesity is the comorbidity more strongly associated for Covid-19 in Mexico. A case-control study

Hernández-Garduño, E. (2020) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2020.06.001 · Cited by 161 · see citing works

Mechanisms and Clinical Consequences of Acute Lung Injury

Fanelli, V., & Ranieri, V. M. (2015) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201407-340mg · Cited by 157 · see citing works

Insulin Inhibits IL-10–Mediated Regulatory T Cell Function: Implications for Obesity

Han, J. M., Patterson, S. J., Speck, M., Ehses, J. A., & Levings, M. K. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1302181 · Cited by 156 · see citing works

Fatty Acid Metabolites Combine with Reduced β Oxidation to Activate Th17 Inflammation in Human Type 2 Diabetes

Nicholas, D., Proctor, E. A., Agrawal, M., Belkina, A. C., Nostrand, S. C. V., Bharath, L. P., Jones, A. R., Raval, F., Ip, B. C., Zhu, M., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.004 · Cited by 155 · see citing works

Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in MexicoPreprint

Bello‐Chavolla, O. Y., Bahena-López, J. P., Antonio‐Villa, N. E., et al. (2020) · medRxiv · doi:10.1101/2020.04.20.20072223 · Cited by 152 · see citing works

Obesity Expands a Distinct Population of T Cells in Adipose Tissue and Increases Vulnerability to Infection

Misumi, I., Starmer, J., Uchimura, T., Beck, M. A., Magnuson, T., & Whitmire, J. K. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.030 · Cited by 150 · see citing works

A tertiary center experience of multiple myeloma patients with COVID-19: lessons learned and the path forward

Wang, B., Oekelen, O. V., Mouhieddine, T. H., Valle, D. M. D., Richter, J. R., Cho, H. J., Richard, S., Chari, A., Gnjatic, S., Mérad, M., et al. (2020) · Journal of Hematology & Oncology · doi:10.1186/s13045-020-00934-x · Cited by 148 · see citing works

Factors Associated with Hospitalization and Disease Severity in a Racially and Ethnically Diverse Population of COVID-19 PatientsPreprint

Mendy, A., Apewokin, S. K., Wells, A., & Morrow, A. L. (2020) · medRxiv · doi:10.1101/2020.06.25.20137323 · Cited by 147 · see citing works

Interleukin-6 Is a Potential Biomarker for Severe Pandemic H1N1 Influenza A Infection

Paquette, S. G., Banner, D., Zhao, Z., Yuan, F., Huang, S. S. H., Leon, A. J., Ng, D. C. K., Almansa, R., Martín‐Loeches, I., Ramírez, P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038214 · Cited by 144 · see citing works

Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients

Bellan, M., Patti, G., Hayden, E., Azzolina, D., Pirisi, M., Acquaviva, A., Aimaretti, G., Valletti, P. A., Angilletta, R., Arioli, R., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-77698-4 · Cited by 140 · see citing works

Recent dynamics suggest selected countries catching up to US obesity

Popkin, B. M. (2009) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28473c · Cited by 136 · see citing works

Recent Underweight and Overweight Trends by Rural–Urban Residence among Women in Low- and Middle-Income Countries,

Jaacks, L. M., Slining, M. M., & Popkin, B. M. (2014) · Journal of Nutrition · doi:10.3945/jn.114.203562 · Cited by 133 · see citing works

Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women

Rohatgi, K. W., Tinius, R. A., Cade, W. T., Steele, E. M., Cahill, A. G., & Parra, D. C. (2017) · PeerJ · doi:10.7717/peerj.4091 · Cited by 132 · see citing works

Th17 cytokines differentiate obesity from obesity‐associated type 2 diabetes and promote TNF α production

Ip, B. C., Cilfone, N. A., Belkina, A. C., DeFuria, J., Jagannathan‐Bogdan, M., Zhu, M., Kuchibhatla, R., McDonnell, M. E., Xiao, Q., Kepler, T. B., et al. (2015) · Obesity · doi:10.1002/oby.21243 · Cited by 128 · see citing works

Prognostic factors in Spanish COVID-19 patients: A case series from Barcelona

Sisó‐Almirall, A., Kostov, B., Mas-Heredia, M., Vilanova-Rotllan, S., Aymar, E. S., Sans-Corrales, M., Sant-Arderiu, E., Cayuelas-Redondo, L., Martínez-Pérez, Á., Planas, N. G., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237960 · Cited by 125 · see citing works

Angiotensin-converting enzyme inhibitors and angiotensin receptor blockers may be harmful in patients with diabetes during COVID-19 pandemic

Cüre, E., & Cüre, M. C. (2020) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.019 · Cited by 124 · see citing works

Early estimation of the risk factors for hospitalization and mortality by COVID-19 in Mexico

Carrillo-Vega, M. F., Escudero, G. S., García‐Peña, C., Gutiérrez‐Robledo, L. M., & Parra‐Rodríguez, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0238905 · Cited by 123 · see citing works

Pharmacotherapy in COVID-19; A narrative review for emergency providers

Mehta, N., Mazer-Amirshahi, M. E., Alkindi, N., & Pourmand, A. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.04.035 · Cited by 122 · see citing works

Obesity in men: The hypogonadal–estrogen receptor relationship and its effect on glucose homeostasis

Cohen, P. G. (2008) · Medical Hypotheses · doi:10.1016/j.mehy.2007.05.020 · Cited by 115 · see citing works

Demographics, comorbidities and outcomes in hospitalized Covid-19 patients in rural southwest Georgia

Shah, P., Owens, J., Franklin, J., Mehta, A., Heymann, W. C., Sewell, W., Hill, J. M., Barfield, K., & Doshi, R. P. (2020) · Annals of Medicine · doi:10.1080/07853890.2020.1791356 · Cited by 108 · see citing works

In Young Adults with COVID-19, Obesity Is Associated with Adverse Outcomes

Steinberg, E., Wright, E., & Kushner, B. (2020) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2020.5.47972 · Cited by 104 · see citing works

Clinical and Epidemiological Characteristics of Patients Diagnosed with COVID-19 in a Tertiary Care Center in Mexico City: A Prospective Cohort Study

Ortíz‐Brizuela, E., Villanueva-Reza, M., González-Lara, M. F., Tamez-Torres, K. M., Román-Montes, C. M., Díaz-Mejía, B. A., Pérez-García, E., Olivas‐Martínez, A., Rajme‐López, S., Martínez-Guerra, B. A., et al. (2020) · Revista de investigaci�n Cl�nica · doi:10.24875/ric.20000211 · Cited by 99 · see citing works

The Association of Obesity, Type 2 Diabetes, and Hypertension with Severe Coronavirus Disease 2019 on Admission Among Mexican Patients

Denova‐Gutiérrez, E., López‐Gatell, H., Alomía-Zegarra, J. L., López‐Ridaura, R., Zaragoza-Jiménez, C. A., Dyer‐Leal, D. D., Cortés-Alcalá, R., Villa‐Reyes, T., Gutiérrez‐Vargas, R., Rodríguez-González, K. G., et al. (2020) · Obesity · doi:10.1002/oby.22946 · Cited by 99 · see citing works

Ultra-processed Food Consumption and Incident Frailty: A Prospective Cohort Study of Older Adults

Sandoval-Insausti, H., Blanco-Rojo, R., Graciani, A., López-García, E., Moreno-Franco, B., Laclaustra, M., Donat-Vargas, C., Ordovás, J. M., Rodríguez-Artalejo, F., & Guallar-Castillón, P. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz140 · Cited by 97 · see citing works

Obesity Outweighs Protection Conferred by Adjuvanted Influenza Vaccination

Karlsson, E. A., Hertz, T., Johnson, C. N., Mehle, A., Krammer, F., & Schultz‐Cherry, S. (2016) · mBio · doi:10.1128/mbio.01144-16 · Cited by 95 · see citing works

Estrogen receptor inhibits interleukin-6 gene expression by disruption of nuclear factor κB transactivation

Liu, H., Liu, K., & Bodenner, D. (2005) · Cytokine · doi:10.1016/j.cyto.2004.12.008 · Cited by 93 · see citing works

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data

de Souza, F. S. H., Hojo-Souza, N. S., dos Santos, E. B., Silva, C. M., & Guidoni, D. L. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2021.579931 · Cited by 90 · see citing works

COVID ‐19: Impact of obesity and diabetes on disease severity

Al-Sabah, S. K., Al‐Haddad, M., Al‐Youha, S., Jamal, M. H., & Almazeedi, S. M. (2020) · Clinical Obesity · doi:10.1111/cob.12414 · Cited by 88 · see citing works

Low plasma 25(OH) vitamin D level is associated with increased risk of COVID-19 infection: an Israeli population-based studyPreprint

Merzon, E., Tworowski, D., Gorohovski, A., et al. (2020) · medRxiv · doi:10.1101/2020.07.01.20144329 · Cited by 81 · see citing works

Diet-Induced Obese Mice Exhibit Altered Heterologous Immunity during a Secondary 2009 Pandemic H1N1 Infection

Milner, J. J., Sheridan, P. A., Karlsson, E. A., Schultz‐Cherry, S., Shi, Q., & Beck, M. A. (2013) · The Journal of Immunology · doi:10.4049/jimmunol.1202429 · Cited by 78 · see citing works

Epidemiological and clinical features of 2019-nCoV acute respiratory disease cases in Chongqing municipality, China: a retrospective, descriptive, multiple-center studyPreprint

Qi, D., Yan, X., Tang, X., Peng, J., Yu, Q., Feng, L., Yuan, G., Zhang, A., Chen, Y., Yuan, J., et al. (2020) · medRxiv · doi:10.1101/2020.03.01.20029397 · Cited by 78 · see citing works

What Factors Increase the Risk of Complications in SARS-CoV-2–Infected Patients? A Cohort Study in a Nationwide Israeli Health Organization

Yanover, C., Mizrahi, B., Kalkstein, N., Marcus, K., Akiva, P., Barer, Y., Shalev, V., & Chodick, G. (2020) · JMIR Public Health and Surveillance · doi:10.2196/20872 · Cited by 78 · see citing works

Obesity and the outcome of infection

Huttunen, R., & Syrjänen, J. (2010) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(10)70103-1 · Cited by 72 · see citing works

Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions: Hospitalizations, Mortality, and the Need for an ICU or Ventilator

Wollenstein-Betech, S., Cassandras, C. G., & Paschalidis, I. C. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104258 · Cited by 72 · see citing works

Ethnicity and risk of death in patients hospitalised for COVID-19 infection in the UK: an observational cohort study in an urban catchment area

Sapey, E., Gallier, S., Mainey, C., Nightingale, P., McNulty, D., Crothers, H., Evison, F., Reeves, K., Pagano, D., Denniston, A. K., et al. (2020) · BMJ Open Respiratory Research · doi:10.1136/bmjresp-2020-000644 · Cited by 71 · see citing works

Epidemiology, risk factors and clinical course of SARS-CoV-2 infected patients in a Swiss university hospital: An observational retrospective study

Regina, J., Papadimitriou‐Olivgeris, M., Burger, R., Pogam, M. L., Niemi, T., Filippidis, P., Tschopp, J., Desgranges, F., Viala, B., Kampouri, E., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240781 · Cited by 65 · see citing works

Ultra-processed food consumption and adiposity trajectories in a Brazilian cohort of adolescents: ELANA study

Cunha, D., da Costa, T. H. M., da Veiga, G. D., Pereira, R., & Sichieri, R. (2018) · Nutrition & Diabetes · doi:10.1038/s41387-018-0043-z · Cited by 63 · see citing works

Death by SARS-CoV 2: a Romanian COVID-19 multi-centre comorbidity study

Stoian, A. P., Pricop‐Jeckstadt, M., Pană, A., Ileanu, B. V., Schitea, R., Geantă, M., Catrinoiu, D., Suceveanu, A., Serafinceanu, C., Pițuru, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-78575-w · Cited by 63 · see citing works

Characteristics and risk factors for COVID-19 diagnosis and adverse outcomes in Mexico: an analysis of 89,756 laboratory–confirmed COVID-19 casesPreprint

Giannouchos, T. V., Sussman, R. A., Odriozola, J. M. M., Poulas, K. A., & Farsalinos, K. E. (2020) · medRxiv · doi:10.1101/2020.06.04.20122481 · Cited by 60 · see citing works

Assessing the Burden of Coronavirus Disease 2019 (COVID-19) Among Healthcare Workers in Mexico City: A Data-Driven Call to Action

Antonio‐Villa, N. E., Bello‐Chavolla, O. Y., Vargas‐Vázquez, A., Fermín‐Martínez, C. A., Márquez‐Salinas, A., Pisanty-Alatorre, J., & Bahena-López, J. P. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1487 · Cited by 60 · see citing works

Lifestyle Risk Factors for Cardiovascular Disease in Relation to COVID-19 Hospitalization: A Community-Based Cohort Study of 387,109 Adults in UKPreprint

Hamer, M., Kivimäki, M., Galé, C. R., et al. (2020) · medRxiv · doi:10.1101/2020.05.09.20096438 · Cited by 59 · see citing works

Survival in adult inpatients with COVID-19

Murillo‐Zamora, E., & Hernández-Suárez, C. (2020) · Public Health · doi:10.1016/j.puhe.2020.10.029 · Cited by 58 · see citing works

Associations with covid-19 hospitalisation amongst 406,793 adults: the UK Biobank prospective cohort studyPreprint

Khawaja, A. P., Warwick, A., Hysi, P. G., Kastner, A., Dick, A. D., Khaw, P. T., Tufail, A., Foster, P. J., & Khaw, K. (2020) · medRxiv · doi:10.1101/2020.05.06.20092957 · Cited by 56 · see citing works

Modifiable and non-modifiable risk factors for COVID-19: results from UK BiobankPreprint

Ho, F. K. W., Celis-Morales, C. A., Gray, S. R., et al. (2020) · medRxiv · doi:10.1101/2020.04.28.20083295 · Cited by 55 · see citing works

COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan MedicinePreprint

Gu, T., Mack, J. A., Salvatore, M., et al. (2020) · medRxiv · doi:10.1101/2020.06.16.20133140 · Cited by 54 · see citing works

Comorbidities might be a risk factor for the incidence of COVID-19: Evidence from a web-based survey

Alam, M. R., Kabir, M. R., & Reza, S. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101319 · Cited by 52 · see citing works

Is waist circumference per body mass index rising differentially across the United States, England, China and Mexico?

Albrecht, S. S., Gordon-Larsen, P., Stern, D., & Popkin, B. M. (2015) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2015.71 · Cited by 51 · see citing works

Changes in waist circumference relative to body mass index in Chinese adults, 1993–2009

Stern, D., Smith, L. P., Zhang, B., Gordon-Larsen, P., & Popkin, B. M. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.74 · Cited by 50 · see citing works

Obesity Paradox, Obesity Orthodox, and the Metabolic Syndrome: An Approach to Unity

Roth, J., Sahota, N., Patel, P., Mehdi, S. F., Wiese, M. M., Mahboob, H. B., Bravo, M., Eden, D. J., Bashir, M. A., Kumar, A., et al. (2016) · Molecular Medicine · doi:10.2119/molmed.2016.00211 · Cited by 50 · see citing works

Clinical course and potential predictive factors for pneumonia of adult patients with Coronavirus Disease 2019 (COVID-19): A retrospective observational analysis of 193 confirmed cases in Thailand

Pongpirul, W. A., Wiboonchutikul, S., Charoenpong, L., Panitantum, N., Vachiraphan, A., Uttayamakul, S., Pongpirul, K., Manosuthi, W., & Prasithsirikul, W. (2020) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0008806 · Cited by 50 · see citing works

Clinical and Epidemiological Characteristics of Patients Diagnosed with COVID-19 in a Tertiary Care Center in Mexico City: A Prospective Cohort Study

Ortíz‐Brizuela, E., Villanueva-Reza, M., González-Lara, M. F., Tamez-Torres, K. M., Román-Montes, C. M., Díaz-Mejía, B. A., Pérez-García, E., Olivas‐Martínez, A., Rajme‐López, S., Martínez-Guerra, B. A., et al. (2020) · Revista de investigaci�n Cl�nica · doi:10.24875/ric.20000334 · Cited by 50 · see citing works

Obesity as a risk factor for unfavourable outcomes in critically ill patients affected by Covid 19

Rossi, A. P., Gottin, L., Donadello, K., Schweiger, V., Nocini, R., Taiana, M., Zamboni, M. M., & Polati, E. (2020) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2020.11.012 · Cited by 50 · see citing works

Ethnicity, comorbidity, socioeconomic status, and their associations with COVID-19 infection in England: a cohort analysis of UK Biobank dataPreprint

Prats‐Uribe, A., Paredes, R., & Prieto‐Alhambra, D. (2020) · medRxiv · doi:10.1101/2020.05.06.20092676 · Cited by 48 · see citing works

Derivation and Validation of a Predictive Score for Disease Worsening in Patients with COVID-19

Gerotziafas, G., Sergentanis, T. Ν., Voiriot, G., Lassel, L., Papageorgiou, C., Elabbadi, A., Turpin, M., Dreden, P. V., Papageorgiou, L., Ψαλτοπούλου, Θ., et al. (2020) · Thrombosis and Haemostasis · doi:10.1055/s-0040-1716544 · Cited by 46 · see citing works

Predicting the disease outcome in COVID-19 positive patients through Machine Learning: a retrospective cohort study with Brazilian dataPreprint

de Souza, F. S. H., Hojo-Souza, N. S., dos Santos, E. B., et al. (2020) · medRxiv · doi:10.1101/2020.06.26.20140764 · Cited by 45 · see citing works

Strengthening Local Food Systems in Times of Concomitant Global Crises: Reflections From Chile

Kanter, R., & Boza, S. (2020) · American Journal of Public Health · doi:10.2105/ajph.2020.305711 · Cited by 44 · see citing works

Prognostic factors in spanish COVID-19 patients: A case series from barcelonaPreprint

Sisó‐Almirall, A., Kostov, B., Mas-Heredia, M., et al. (2020) · medRxiv · doi:10.1101/2020.06.18.20134510 · Cited by 40 · see citing works

Epidemiology, risk factors and clinical course of SARS-CoV-2 infected patients in a Swiss university hospital: an observational retrospective studyPreprint

Regina, J., Papadimitriou‐Olivgeris, M., Burger, R., et al. (2020) · medRxiv · doi:10.1101/2020.05.11.20097741 · Cited by 39 · see citing works

Implications for COVID-19 triage from the ICNARC report of 2204 COVID-19 cases managed in UK adult intensive care units

Shovlin, C. L., & Vizcaychipi, M. P. (2020) · Emergency Medicine Journal · doi:10.1136/emermed-2020-209791 · Cited by 38 · see citing works

Vitamin D status, body mass index, ethnicity and COVID-19: Initial analysis of the first-reported UK Biobank COVID-19 positive cases ( n 580) compared with negative controls ( n 723)Preprint

Darling, A. L., Ahmadi, K. R., Ward, K. A., et al. (2020) · medRxiv · doi:10.1101/2020.04.29.20084277 · Cited by 37 · see citing works

Obesity, overweight and survival in critically ill patients with SARS-CoV-2 pneumonia: is there an obesity paradox? Preliminary results from Italy

Hálasz, G., Leoni, M. L. G., VILLANI, G. Q., et al. (2020) · European Journal of Preventive Cardiology · doi:10.1177/2047487320939675 · Cited by 36 · see citing works

Early estimation of the risk factors for hospitalisation and mortality by COVID-19 in MexicoPreprint

Carrillo-Vega, M. F., Escudero, G. S., García‐Peña, C., et al. (2020) · medRxiv · doi:10.1101/2020.05.11.20098145 · Cited by 33 · see citing works

Interim Analysis of Risk Factors for Severe Outcomes among a Cohort of Hospitalized Adults Identified through the U.S. Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET)Preprint

Kim, L., Garg, S., O’Halloran, A. C., et al. (2020) · medRxiv · doi:10.1101/2020.05.18.20103390 · Cited by 33 · see citing works

Risk of infection and hospitalization by Covid-19 in Mexico: a case-control studyPreprint

Berumen, J., Schmulson, M., Alegre, J., Guerrero, G., Olaiz, G., Wong-Chew, R., Larriva-Sahd, J., Cantú-Brito, C., Ochoa-Guzmán, A., Garcilazo-Ávila, A., et al. (2020) · medRxiv · doi:10.1101/2020.05.24.20104414 · Cited by 33 · see citing works

Is sleep apnoea a risk factor for Covid-19? Findings from a retrospective cohort studyPreprint

Feuth, T., Saaresranta, T., Karlsson, A., et al. (2020) · medRxiv · doi:10.1101/2020.05.14.20098319 · Cited by 28 · see citing works

Hormonal Dysregulation and Unbalanced Specialized Pro‐Resolving Mediator Biosynthesis Contribute toward Impaired B Cell Outcomes in Obesity

Crouch, M. J., Al‐Shaer, A. E., & Shaikh, S. R. (2020) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900924 · Cited by 23 · see citing works

COVID-19: Impact of Obesity and Diabetes in Disease SeverityPreprint

Al-Sabah, S. K., Al‐Haddad, M., Al‐Youha, S., et al. (2020) · medRxiv · doi:10.1101/2020.05.24.20111724 · Cited by 23 · see citing works

Exploring secular changes in the association between BMI and waist circumference in Mexican ‐Origin and white women: A comparison of Mexico and the United States

Albrecht, S. S., Barquera, S., & Popkin, B. M. (2014) · American Journal of Human Biology · doi:10.1002/ajhb.22573 · Cited by 21 · see citing works

Characteristics and predictors of hospitalization and death in the first 9,519 cases with a positive RT-PCR test for SARS-CoV-2 in Denmark: A nationwide cohortPreprint

Reilev, M., Kristensen, K., Pottegaard, A., et al. (2020) · medRxiv · doi:10.1101/2020.05.24.20111823 · Cited by 21 · see citing works

Critical care for severe coronavirus disease 2019: a population-based study from a province with low case-fatality rate in China

LIAO, X., Chen, H., Wang, B., Li, Z., Zhang, Z. W., Li, W. M., Liang, Z. A., Tang, J. L., Wang, J., Shi, R., et al. (2020) · Chinese Medical Journal · doi:10.1097/cm9.0000000000001187 · Cited by 21 · see citing works

The natural history of symptomatic COVID-19 in Catalonia, Spain: a multi-state model including 109,367 outpatient diagnoses, 18,019 hospitalisations, and 5,585 COVID-19 deaths among 5,627,520 peoplePreprint

Burn, E., Tebé, C., Fernández‐Bertolín, S., et al. (2020) · medRxiv · doi:10.1101/2020.07.13.20152454 · Cited by 20 · see citing works

Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions: Hospitalizations, Mortality, and the Need for an ICU or VentilatorPreprint

Wollenstein-Betech, S., Cassandras, C. G., & Paschalidis, I. C. (2020) · medRxiv · doi:10.1101/2020.05.03.20089813 · Cited by 19 · see citing works

The Lancet Commission on lessons for the future from the COVID-19 pandemic

Sachs, J. D., Karim, S. S. A., Aknin, L., Allen, J., Brosbøl, K., Colombo, F., Barron, G. C., Espinosa, M. F., Gaspar, V., Gaviria, A., et al. (2022) · The Lancet · doi:10.1016/s0140-6736(22)01585-9 · Cited by 842 · see citing works

8. Obesity and Weight Management for the Prevention and Treatment of Type 2 Diabetes: <i>Standards of Care in Diabetes—2023</i>

ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Hilliard, M. E., Isaacs, D., Johnson, E. L., et al. (2023) · Diabetes Care · doi:10.2337/dc23-s008 · Cited by 244 · see citing works

8. Obesity and Weight Management for the Prevention and Treatment of Type 2 Diabetes: <i>Standards of Medical Care in Diabetes—2022</i>

American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s008 · Cited by 244 · see citing works

What is clinically relevant weight loss for your patients and how can it be achieved? A narrative review

Horn, D. B., Almandoz, J. P., & Look, M. (2022) · Postgraduate Medicine · doi:10.1080/00325481.2022.2051366 · Cited by 114 · see citing works

Striking the balance: GLP-1/glucagon co-agonism as a treatment strategy for obesity

Hope, D. C. D., Vincent, M. L., & Tan, T. M. M. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.735019 · Cited by 81 · see citing works

Body mass index and risk of obesity‐related conditions in a cohort of 2.9 million people: Evidence from a UK primary care database

Haase, C. L., Eriksen, K. T., Lopes, S., Satylganova, A., Schnecke, V., & McEwan, P. (2021) · Obesity Science &amp; Practice · doi:10.1002/osp4.474 · Cited by 57 · see citing works

The association between obesity and peak antibody titer response in COVID‐19 infection

Soffer, S., Glicksberg, B. S., Zimlichman, E., Efros, O., Levin, M. A., Freeman, R., Reich, D. L., & Klang, E. (2021) · Obesity · doi:10.1002/oby.23208 · Cited by 48 · see citing works

Implications of inflammatory states on dysfunctional immune responses in aging and obesity

Thomas, A. L., Alarcon, P. C., Divanovic, S., Chougnet, C. A., Hildeman, D. A., & Moreno-Fernandez, M. E. (2021) · Frontiers in Aging · doi:10.3389/fragi.2021.732414 · Cited by 35 · see citing works

How distorted food prices discourage a healthy diet

Pancrazi, R., van Rens, T., & Vukotić, M. (2022) · Science Advances · doi:10.1126/sciadv.abi8807 · Cited by 26 · see citing works

Who does the model learn from?

Charpignon, M.-L., Celi, L. A., & Samuel, M. C. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(21)00057-1 · Cited by 4 · see citing works

And now for something completely different: from 2019-nCoV and COVID-19 to 2020-nMan

Froes, F. (2020) · Pulmonology · doi:10.1016/j.pulmoe.2020.02.010 · Cited by 25 · see citing works

Особенности сахароснижающей фармакотерапии у пациентов с SARS-CoV-2 (COVID-19)

Кухнина, Л. С., Сахарова, К. В., & Elina, D. (2021) · ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ · doi:10.18411/lj-04-2021-51

ОПЫТ ИССЛЕДОВАНИЯ СЕРОПРЕВАЛЕНТНОСТИ К ВИРУСУ SARS-CoV-2 НАСЕЛЕНИЯ ИРКУТСКОЙ ОБЛАСТИ В ПЕРИОД ВСПЫШКИ COVID-19Preprint

Popova, A. Y., Ezhlova, E. B., Melnikova, A. A., Балахонов, С. В., Chesnokova, M. V., Dubrovina, V. I., Лялина, Л., Смирнов, В. С., Ag, T., Николаевич, П. А., et al. (2020) · doi:10.21055/preprints-3111809 · Cited by 2 · see citing works

Chilblain‐like lesions after BNT162b2 mRNA COVID‐19 vaccine: a case report suggesting that ‘COVID toes’ are due to the immune reaction to SARS‐CoV‐2

Lesort, C., Kanitakis, J., Donzier, L., et al. (2021) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.17451 · Cited by 25 · see citing works

Спонтанний пневмоторакс у хворих на нову коронавірусну хворобу SARS-CoV-2 COVID-19

Горолюк, А. Ю. (2022) · Шпитальна хірургія Журнал імені Л Я Ковальчука · doi:10.11603/2414-4533.2022.1.12929