The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Influenza and obesity: its odd relationship and the lessons for COVID-19 pandemic
Open accessAbstract
Aims Analyze the relationship between obesity and influenza. Methods Basal hormone milieu, defective response of both innate and adaptive immune system and sedentariness are major determinants in the severity of influenza viral infection in obese patients. Being overweight not only increases the risk of infection and of complications for the single obese person, but a large prevalence of obese individuals within the population might increase the chance of appearance of more virulent viral strain, prolongs the virus shedding throughout the total population and eventually might increase overall mortality rate of an influenza pandemic. Results Waiting for the development of a vaccination against COVID-19, isolation of positive cases and social distancing are the primary interventions. Nonetheless, evidence from previous influenza pandemics suggests the following interventions aimed at improving immune response: (1) lose weight with a mild caloric restriction; (2) include AMPK activators and PPAR gamma activators in the drug treatment for obesity associated with diabetes; and (3) practice mild-to-moderate physical exercise. Conclusions Due to prolonged viral shedding, quarantine in obese subjects should likely be longer than normal weight individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Adipokines in inflammation and metabolic disease
Ouchi, N., Parker, J. L., Lugus, J. J., & Walsh, K. (2011) · Nature Reviews Immunology · doi:10.1038/nri2921 · Cited by 4,625
Impact of Obesity and Metabolic Syndrome on Immunity
Andersen, C. J., Murphy, K. E., & Fernandez, M. L. (2016) · Advances in Nutrition · doi:10.3945/an.115.010207 · Cited by 701
Infectious virus in exhaled breath of symptomatic seasonal influenza cases from a college community
Yan, J., Grantham, M., Pantelic, J., Bueno de Mesquita, P. J., Albert, B., Liu, F., Ehrman, S., Milton, D. K., EMIT Consortium, Adamson, W., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1716561115 · Cited by 534
Impact of Obesity on Influenza A Virus Pathogenesis, Immune Response, and Evolution
Honce, R., & Schultz-Cherry, S. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01071 · Cited by 457
Morgan, O. W., Bramley, A., Fowlkes, A., Freedman, D. S., Taylor, T. H., Gargiullo, P., Belay, B., Jain, S., Cox, C., Kamimoto, L., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009694 · Cited by 446
Atkinson, R. L., Dhurandhar, N. V., Allison, D. B., Bowen, R. L., Israel, B. A., Albu, J. B., & Augustus, A. S. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0802830 · Cited by 302
Zhao, X., Zmijewski, J. W., Lorne, E., Liu, G., Park, Y.-J., Tsuruta, Y., & Abraham, E. (2008) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.90210.2008 · Cited by 301
Back to the Future: Lessons Learned From the 1918 Influenza Pandemic
Short, K. R., Kedzierska, K., & van de Sandt, C. E. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00343 · Cited by 278
Klinkhammer, J., Schnepf, D., Ye, L., Schwaderlapp, M., Gad, H. H., Hartmann, R., Garcin, D., Mahlakõiv, T., & Staeheli, P. (2018) · eLife · doi:10.7554/elife.33354 · Cited by 264
Obesity increases the duration of influenza a virus shedding in adults
Maier, H. E., Lopez, R., Sanchez, N., Ng, S., Gresh, L., Ojeda, S., Burger-Calderon, R., Kuan, G., Harris, E., Balmaseda, A., et al. (2018) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiy370 · Cited by 245
Cited by
Practical recommendations for the management of diabetes in patients with COVID-19
Bornstein, S. R., Rubino, F., Khunti, K., Mingrone, G., Hopkins, D., Birkenfeld, A. L., Boehm, B., Amiel, S., Holt, R. I., Skyler, J. S., et al. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30152-2 · Cited by 955
Obesity and diabetes as high‐risk factors for severe coronavirus disease 2019 (Covid‐19)
Zhou, Y., Chi, J., Lv, W., & Wang, Y. (2021) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3377 · Cited by 490
Obesity in patients with COVID-19: a systematic review and meta-analysis
Huang, Y., Lu, Y., Huang, Y.-M., Wang, M., Ling, W., Sui, Y., & Zhao, H.-L. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154378 · Cited by 454
da Silveira, M. P., da Silva Fagundes, K. K., Bizuti, M. R., Starck, É., Rossi, R. C., & de Resende e Silva, D. T. (2021) · Clinical and Experimental Medicine · doi:10.1007/s10238-020-00650-3 · Cited by 475
Khera, A., Baum, S. J., Gluckman, T. J., Gulati, M., Martin, S. S., Michos, E. D., Navar, A. M., Taub, P. R., Toth, P. P., Virani, S. S., et al. (2020) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2020.100009 · Cited by 143
Metadata
- Authors
- Luzi, L., & Radaelli, M. G.
- Venue
- Acta Diabetologica
- Published
- 2020-04-05
- Volume
- 57
- Issue
- 6
- Pages
- 759-764
- ISSN
- 0940-5429 (ISSN-L)
- 1432-5233
- OpenAlex
- W3015049708
- Cited by
- 382
- References
- 45
- FWCI
- 53.60
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Influenza and obesity: its odd relationship and the lessons for COVID-19 pandemic. https://app.cochat.ai/papers/10.1007/s00592-020-01522-8
- The paper
- Luzi, L., & Radaelli, M. G. (2020). Influenza and obesity: its odd relationship and the lessons for COVID-19 pandemic. Acta Diabetologica. https://doi.org/10.1007/s00592-020-01522-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.