Analgesics
Antiandrogens
Antihistamines
Bromhexine
Budesonide
Colchicine
Conv. Plasma
Curcumin
Fluvoxamine
Hydroxychlor..
Ivermectin
Lifestyle
Melatonin
Metformin
Minerals
Monoclonals
Mpro inhibitors
Naso/orophar..
Nigella Sativa
Nitazoxanide
PPIs
Quercetin
RdRp inhibitors
Thermotherapy
Vitamins
More

Other
Feedback
Home
 
next
study
previous
study
c19early.org COVID-19 treatment researchSleepSleep (more..)
Metformin Meta
Bromhexine Meta
Budesonide Meta
Colchicine Meta Nigella Sativa Meta
Conv. Plasma Meta Nitazoxanide Meta
Curcumin Meta PPIs Meta
Fluvoxamine Meta Quercetin Meta
Hydroxychlor.. Meta
Ivermectin Meta Thermotherapy Meta
Melatonin Meta

All Studies   Meta Analysis       

Modifiable lifestyle factors and the risk of post-COVID-19 multisystem sequelae, hospitalization, and death

Wang et al., Nature Communications, doi:10.1038/s41467-024-50495-7 (date from preprint)
Jan 2024  
  Post
  Facebook
Share
  Source   PDF   All Studies   Meta AnalysisMeta
Mortality 19% Improvement Relative Risk Hospitalization 15% PASC 23% Sleep for COVID-19  Wang et al.  Prophylaxis Is better sleep beneficial for COVID-19? Prospective study of 68,896 patients in the United Kingdom Lower mortality (p=0.00079) and hospitalization (p<0.0001) c19early.org Wang et al., Nature Communications, Jan 2024 Favorsgood sleep Favorscontrol 0 0.5 1 1.5 2+
Sleep for COVID-19
16th treatment shown to reduce risk in March 2021, now with p = 0.00000000084 from 16 studies.
Lower risk for mortality, hospitalization, and cases.
No treatment is 100% effective. Protocols combine treatments.
5,300+ studies for 115 treatments. c19early.org
Prospective study of 68,896 UK Biobank participants with COVID-19 showing adherence to a healthy lifestyle prior to infection, characterized by 10 factors including adequate physical activity and sleep, not smoking, and a healthy BMI, was associated with a significantly lower risk of mortality, hospitalization, and post-COVID multisystem sequelae. Risk decreased monotonically for increasing numbers of healthy lifestyle factors from 5-10. Reduced risks were evident across cardiovascular, metabolic, neurologic, respiratory, and other disorders over 210 days following infection, during both acute and post-acute phases, regardless of age, sex, ethnicity, test setting, vaccination status, or SARS-CoV-2 variant.
Standard of Care (SOC): SOC for COVID-19 in the study country, the United Kingdom, is very poor with very low average efficacy for approved treatments1. The United Kingdom focused on expensive high-profit treatments that had very low average efficacy, and approved only one low-cost treatment, which required a prescription. This results in a lower probability of treatment, and specifically a lower probability of early treatment, due to access and cost issues; and also results in the loss of complementary and synergistic benefits that are seen with many low-cost treatments.
Study covers exercise, sleep, and diet.
risk of death, 19.0% lower, HR 0.81, p < 0.001, higher quality sleep 50,777, lower quality sleep 18,119, adjusted per study, 7-9 hrs vs. <7 or >9, multivariable.
risk of hospitalization, 15.0% lower, HR 0.85, p < 0.001, higher quality sleep 50,777, lower quality sleep 18,119, adjusted per study, 7-9 hrs vs. <7 or >9, multivariable.
risk of PASC, 23.0% lower, HR 0.77, p < 0.001, higher quality sleep 50,777, lower quality sleep 18,119, adjusted per study, 7-9 hrs vs. <7 or >9, multivariable.
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Wang et al., 31 Jan 2024, prospective, United Kingdom, peer-reviewed, 10 authors.
This PaperSleepAll
Modifiable lifestyle factors and the risk of post-COVID-19 multisystem sequelae, hospitalization, and death
Binbin Yunhe Wang, Binbin Su, Marta Alcalde-Herraiz, Nicola L Barclay, Yaohua Tian, Chunxiao Li, Nicholas J Wareham, Roger Paredes, Junqing Xie, Daniel Prieto-Alhambra
Nature Communications, doi:10.1038/s41467-024-50495-7
Effective prevention strategies for post-COVID complications are crucial for patients, clinicians, and policy makers to mitigate their cumulative burden. This study evaluated the association of modifiable lifestyle factors (smoking, alcohol intake, BMI, physical activity, sedentary time, sleep duration, and dietary habits) with COVID-19 multisystem sequelae, death, and hospitalization in the UK Biobank cohort (n = 68,896). A favorable lifestyle (6-10 healthy factors; 46.4%) was associated with a 36% lower risk of multisystem sequelae (HR, 0.64; 95% CI, 0.58-0.69; ARR at 210 days, 7.08%; 95% CI, 5.98-8.09) compared to an unfavorable lifestyle (0-4 factors; 12.3%). Risk reductions spanned all 10 organ systems, including cardiovascular, coagulation, metabolic, gastrointestinal, kidney, mental health, musculoskeletal, respiratory disorders, and fatigue. This beneficial effect was largely attributable to direct lifestyle impacts independent of corresponding pre-infection comorbidities (71% for any sequelae). A favorable lifestyle was also related to the risk of post-COVID death (HR 0.59, 0.52-0.66) and hospitalization (HR 0.78, 0.73-0.84). These associations persisted across acute and post-acute infection phases, irrespective of hospitalization status, vaccination, or SARS-CoV-2 variant. These findings underscore the clinical and public health importance of adhering to a healthy lifestyle in mitigating long-term COVID-19 adverse impacts and enhancing future pandemic preparedness. COVID-19 cases and deaths have decreased globally, yet the long-term health consequences of SARS-CoV-2 infection, termed as post-COVID-19 conditions or long COVID, are still being managed as a global public health crisis 1,2 . These conditions or symptoms can involve pulmonary and multiple extrapulmonary organ systems, and may occur or extend beyond the acute infection of varying severity, with significant impact on daily functioning and quality of life 3 . Increased risk and burden of cardiovascular, pulmonary, neuropsychiatric, and metabolic disorders were reported during the 6 to 12 months following SARS-CoV-2 infection 4,5 , with persistent risk observed for several diseases up to 2 years 6,7 .
Reporting summary Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article. Author contributions Y.W. and J.X. had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analyses. Y.W., J.X. and D.P.-A. conceptualized and designed the study, and acquired, analyzed or interpreted data. Y.W. drafted the manuscript. B.S, M.A.-H., N.L.-B, Y.T, C.L., N.J.-W., and R.P., participated in the discussions and interpretation of the results. All authors critically revised the manuscript for important intellectual content. J.X. conducted statistical analysis. D.P.-A. obtained funding, provided administrative, technical or material support, and supervised the project. Competing interests D.P.-A. reported grants from Amgen, UCB Biopharma, Les Laboratoires Servier, Novartis, and Chiesi-Taylor, as well as speaker fees and advisory board membership with AstraZeneca and Johnson and Johnson outside the submitted work, in addition to research support from Janssen. R.P. has participated in advisory boards for Gilead, MSD, ViiV Healthcare, Theratechnologies and Lilly. His institution has received research support from Gilead, MSD, and ViiV Healthcare. The remaining authors declare no competing interests. Additional information Supplementary information The online version contains supplementary material available at https://doi.org/10.1038/s41467-024-50495-7...
References
Ahmadi, Huang, Inan-Eroglu, Hamer, Stamatakis, Lifestyle risk factors and infectious disease mortality, including COVID-19, among middle aged and older adults: Evidence from a community-based cohort study in the United Kingdom, Brain Behav. Immun
Al-Aly, Agarwal, Alwan, Luyckx, Long COVID: longterm health outcomes and implications for policy and research, Nat. Rev. Nephrol
Al-Aly, Bowe, Xie, Long COVID after breakthrough SARS-CoV-2 infection, Nat. Med
Al-Aly, Xie, Bowe, High-dimensional characterization of post-acute sequelae of COVID-19, Nature
Allen, Prospective study design and data analysis in UK Biobank, Sci. Transl. Med
Armstrong, Dynamic linkage of COVID-19 test results between Public Health England's second generation surveillance system and UK Biobank, Microb. Genom
Ballouz, Recovery and symptom trajectories up to two years after SARS-CoV-2 infection: population based, longitudinal cohort study, BMJ
Batty, Gale, Kivimäki, Deary, Bell, Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis, BMJ
Bowe, Xie, Al-Aly, Postacute sequelae of COVID-19 at 2 years, Nature Medicine
Bowe, Xie, Xu, Al-Aly, Kidney outcomes in long COVID, J. Am. Soc. Nephrol
Bryazka, Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020, Lancet
Bycroft, The UK Biobank resource with deep phenotyping and genomic data, Nature
Cashin, Mcauley, Vanderweele, Lee, Understanding how health interventions or exposures produce their effects using mediation analysis, BMJ
Català, The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia, Lancet Respir. Med
Dashti, Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates, Nat. Commun
Daugherty, Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study, BMJ
Davis, Mccorkell, Vogel, Topol, Long COVID: major findings, mechanisms and recommendations, Nat. Rev. Microbiol
Denaxas, UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER, J. Am. Med. Inform. Assoc
Ding, Rogers, Van Der Ploeg, Stamatakis, Bauman, Traditional and Emerging Lifestyle Risk Behaviors and All-Cause Mortality in Middle-Aged and Older Adults: Evidence from a Large Population-Based Australian Cohort, PLoS Med
Doherty, Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study, PLoS One
Firth, A meta-review of "lifestyle psychiatry": the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders, World Psychiatry
Florencio, Fernández-De-Las-Peñas, Long COVID: systemic inflammation and obesity as therapeutic targets, Lancet Respir. Med
Foster, The effect of socioeconomic deprivation on the association between an extended measurement of unhealthy lifestyle factors and health outcomes: a prospective analysis of the UK Biobank cohort, Lancet Public Health
Ghouse, Genome-wide meta-analysis identifies 93 risk loci and enables risk prediction equivalent to monogenic forms of venous thromboembolism, Nat. Genet
Greenhalgh, Sivan, Delaney, Evans, Milne, Long covid-an update for primary care, BMJ
Gregson, Cardiovascular risk factors associated with venous thromboembolism, JAMA Cardiol
Hamer, Kivimäki, Gale, Batty, Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK, Brain Behav. Immun
Hanson, Estimated global proportions of individuals with persistent fatigue, cognitive, and respiratory symptom clusters following symptomatic COVID-19 in 2020 and 2021, Jama
Kuan, A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service, Lancet Digit Health
Lam, Long-term post-acute sequelae of COVID-19 infection: a retrospective, multi-database cohort study in Hong Kong and the UK, EClinicalMedicine
Ledford, Long-COVID treatments: why the world is still waiting, Nature
Lee, A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies: The AGReMA Statement, JAMA
Lescinsky, Health effects associated with consumption of unprocessed red meat: a Burden of Proof study, Nat. Med
Loef, Walach, The combined effects of healthy lifestyle behaviors on all cause mortality: a systematic review and metaanalysis, Prev. Med
Luo, Liang, Wong, Schooling, Au Yeung, Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies, Int J. Epidemiol
Munblit, A core outcome set for post-COVID-19 condition in adults for use in clinical practice and research: an international Delphi consensus study, Lancet Respir. Med
Nhs, NHS advice about healthy living, including eating a balanced diet, healthy weight, exercise, quitting smoking and drinking less alcohol
Nyberg, Association of healthy lifestyle with years lived without major chronic diseases, JAMA Intern. Med
Parotto, Post-acute sequelae of COVID-19: understanding and addressing the burden of multisystem manifestations, Lancet Respir. Med
Patnode, Redmond, Iacocca, Henninger, Behavioral counseling interventions to promote a healthy diet and physical activity for cardiovascular disease prevention in adults without known cardiovascular disease risk factors: updated evidence report and systematic review for the us preventive services task force, Jama
Perricone, Smoke and autoimmunity: The fire behind the disease, Autoimmun. Rev
Sabia, Association between questionnaire-and accelerometer-assessed physical activity: the role of sociodemographic factors, Am. J. Epidemiol
Salman, Returning to physical activity after covid-19, BMJ
Shaffer, Lots of long COVID treatment leads, but few are proven, Proc. Natl Acad. Sci. USA
Sharif, Physical activity and autoimmune diseases: Get moving and manage the disease, Autoimmun. Rev
Smith, The English indices of deprivation, London: Department for Communities and Local Government
Tsampasian, Cardiovascular disease as part of Long COVID: A systematic review, Eur. J. Prev. Cardiol, doi:10.1093/eurjpc/zwae070
Tsampasian, Risk factors associated with Post-COVID-19 condition: a systematic review and meta-analysis, JAMA Intern. Med
Vos, Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019, Lancet
Wang, Adherence to healthy lifestyle prior to infection and risk of post-COVID-19 condition, JAMA Intern. Med
Wang, Su, Xie, Garcia-Rizo, Prieto-Alhambra, Longterm risk of psychiatric disorder and psychotropic prescription after SARS-CoV-2 infection among UK general population, Nat. Hum. Behav
Xie, Al-Aly, Risks and burdens of incident diabetes in long COVID: a cohort study. The lancet, Diab. Endocrinol
Xie, Choi, Al-Aly, Association of treatment with nirmatrelvir and the risk of post-COVID-19 condition, JAMA Intern. Med
Xie, Choi, Al-Aly, Molnupiravir and risk of post-acute sequelae of covid-19: cohort study, BMJ
Xie, Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection, Nat. Commun
Xie, Xu, Al-Aly, Risks of mental health outcomes in people with covid-19: cohort study, BMJ
Xie, Xu, Bowe, Al-Aly, Long-term cardiovascular outcomes of COVID-19, Nat. Med
Xu, Xie, Al-Aly, Long-term gastrointestinal outcomes of COVID-19, Nat. Commun, doi:10.1038/s41467-024-50495-7NatureCommunications|
Xu, Xie, Al-Aly, Long-term neurologic outcomes of COVID-19, Nat. Med
DOI record: { "DOI": "10.1038/s41467-024-50495-7", "ISSN": [ "2041-1723" ], "URL": "http://dx.doi.org/10.1038/s41467-024-50495-7", "abstract": "<jats:title>Abstract</jats:title><jats:p>Effective prevention strategies for post-COVID complications are crucial for patients, clinicians, and policy makers to mitigate their cumulative burden. This study evaluated the association of modifiable lifestyle factors (smoking, alcohol intake, BMI, physical activity, sedentary time, sleep duration, and dietary habits) with COVID-19 multisystem sequelae, death, and hospitalization in the UK Biobank cohort (<jats:italic>n</jats:italic> = 68,896). A favorable lifestyle (6-10 healthy factors; 46.4%) was associated with a 36% lower risk of multisystem sequelae (HR, 0.64; 95% CI, 0.58-0.69; ARR at 210 days, 7.08%; 95% CI, 5.98-8.09) compared to an unfavorable lifestyle (0-4 factors; 12.3%). Risk reductions spanned all 10 organ systems, including cardiovascular, coagulation, metabolic, gastrointestinal, kidney, mental health, musculoskeletal, respiratory disorders, and fatigue. This beneficial effect was largely attributable to direct lifestyle impacts independent of corresponding pre-infection comorbidities (71% for any sequelae). A favorable lifestyle was also related to the risk of post-COVID death (HR 0.59, 0.52-0.66) and hospitalization (HR 0.78, 0.73-0.84). These associations persisted across acute and post-acute infection phases, irrespective of hospitalization status, vaccination, or SARS-CoV-2 variant. These findings underscore the clinical and public health importance of adhering to a healthy lifestyle in mitigating long-term COVID-19 adverse impacts and enhancing future pandemic preparedness.</jats:p>", "alternative-id": [ "50495" ], "article-number": "6363", "assertion": [ { "group": { "label": "Article History", "name": "ArticleHistory" }, "label": "Received", "name": "received", "order": 1, "value": "3 March 2024" }, { "group": { "label": "Article History", "name": "ArticleHistory" }, "label": "Accepted", "name": "accepted", "order": 2, "value": "9 July 2024" }, { "group": { "label": "Article History", "name": "ArticleHistory" }, "label": "First Online", "name": "first_online", "order": 3, "value": "29 July 2024" }, { "group": { "label": "Competing interests", "name": "EthicsHeading" }, "name": "Ethics", "order": 1, "value": "D.P.-A. reported grants from Amgen, UCB Biopharma, Les Laboratoires Servier, Novartis, and Chiesi-Taylor, as well as speaker fees and advisory board membership with AstraZeneca and Johnson and Johnson outside the submitted work, in addition to research support from Janssen. R.P. has participated in advisory boards for Gilead, MSD, ViiV Healthcare, Theratechnologies and Lilly. His institution has received research support from Gilead, MSD, and ViiV Healthcare. The remaining authors declare no competing interests." } ], "author": [ { "ORCID": "http://orcid.org/0000-0002-0923-1441", "affiliation": [], "authenticated-orcid": false, "family": "Wang", "given": "Yunhe", "sequence": "first" }, { "affiliation": [], "family": "Su", "given": "Binbin", "sequence": "additional" }, { "affiliation": [], "family": "Alcalde-Herraiz", "given": "Marta", "sequence": "additional" }, { "affiliation": [], "family": "Barclay", "given": "Nicola L.", "sequence": "additional" }, { "ORCID": "http://orcid.org/0000-0002-9853-6991", "affiliation": [], "authenticated-orcid": false, "family": "Tian", "given": "Yaohua", "sequence": "additional" }, { "affiliation": [], "family": "Li", "given": "Chunxiao", "sequence": "additional" }, { "ORCID": "http://orcid.org/0000-0003-1422-2993", "affiliation": [], "authenticated-orcid": false, "family": "Wareham", "given": "Nicholas J.", "sequence": "additional" }, { "affiliation": [], "family": "Paredes", "given": "Roger", "sequence": "additional" }, { "ORCID": "http://orcid.org/0000-0002-0040-0042", "affiliation": [], "authenticated-orcid": false, "family": "Xie", "given": "Junqing", "sequence": "additional" }, { "ORCID": "http://orcid.org/0000-0002-3950-6346", "affiliation": [], "authenticated-orcid": false, "family": "Prieto-Alhambra", "given": "Daniel", "sequence": "additional" } ], "container-title": "Nature Communications", "container-title-short": "Nat Commun", "content-domain": { "crossmark-restriction": false, "domain": [ "link.springer.com" ] }, "created": { "date-parts": [ [ 2024, 7, 29 ] ], "date-time": "2024-07-29T09:03:10Z", "timestamp": 1722243790000 }, "deposited": { "date-parts": [ [ 2024, 7, 29 ] ], "date-time": "2024-07-29T09:04:41Z", "timestamp": 1722243881000 }, "indexed": { "date-parts": [ [ 2024, 7, 30 ] ], "date-time": "2024-07-30T00:21:20Z", "timestamp": 1722298880020 }, "is-referenced-by-count": 0, "issue": "1", "issued": { "date-parts": [ [ 2024, 7, 29 ] ] }, "journal-issue": { "issue": "1", "published-online": { "date-parts": [ [ 2024, 12 ] ] } }, "language": "en", "license": [ { "URL": "https://creativecommons.org/licenses/by/4.0", "content-version": "tdm", "delay-in-days": 0, "start": { "date-parts": [ [ 2024, 7, 29 ] ], "date-time": "2024-07-29T00:00:00Z", "timestamp": 1722211200000 } }, { "URL": "https://creativecommons.org/licenses/by/4.0", "content-version": "vor", "delay-in-days": 0, "start": { "date-parts": [ [ 2024, 7, 29 ] ], "date-time": "2024-07-29T00:00:00Z", "timestamp": 1722211200000 } } ], "link": [ { "URL": "https://www.nature.com/articles/s41467-024-50495-7.pdf", "content-type": "application/pdf", "content-version": "vor", "intended-application": "text-mining" }, { "URL": "https://www.nature.com/articles/s41467-024-50495-7", "content-type": "text/html", "content-version": "vor", "intended-application": "text-mining" }, { "URL": "https://www.nature.com/articles/s41467-024-50495-7.pdf", "content-type": "application/pdf", "content-version": "vor", "intended-application": "similarity-checking" } ], "member": "297", "original-title": [], "prefix": "10.1038", "published": { "date-parts": [ [ 2024, 7, 29 ] ] }, "published-online": { "date-parts": [ [ 2024, 7, 29 ] ] }, "publisher": "Springer Science and Business Media LLC", "reference": [ { "DOI": "10.1016/S2213-2600(23)00239-4", "author": "M Parotto", "doi-asserted-by": "publisher", "first-page": "739", "journal-title": "Lancet Respir. Med", "key": "50495_CR1", "unstructured": "Parotto, M. et al. Post-acute sequelae of COVID-19: understanding and addressing the burden of multisystem manifestations. Lancet Respir. Med 11, 739–754 (2023).", "volume": "11", "year": "2023" }, { "DOI": "10.1016/S2213-2600(22)00169-2", "author": "D Munblit", "doi-asserted-by": "publisher", "first-page": "715", "journal-title": "Lancet Respir. Med", "key": "50495_CR2", "unstructured": "Munblit, D. et al. A core outcome set for post-COVID-19 condition in adults for use in clinical practice and research: an international Delphi consensus study. Lancet Respir. Med 10, 715–724 (2022).", "volume": "10", "year": "2022" }, { "DOI": "10.1038/s41579-022-00846-2", "author": "HE Davis", "doi-asserted-by": "publisher", "first-page": "133", "journal-title": "Nat. Rev. Microbiol.", "key": "50495_CR3", "unstructured": "Davis, H. E., McCorkell, L., Vogel, J. M. & Topol, E. J. Long COVID: major findings, mechanisms and recommendations. Nat. Rev. Microbiol. 21, 133–146 (2023).", "volume": "21", "year": "2023" }, { "DOI": "10.1038/s41581-022-00652-2", "author": "Z Al-Aly", "doi-asserted-by": "publisher", "first-page": "1", "journal-title": "Nat. Rev. Nephrol.", "key": "50495_CR4", "unstructured": "Al-Aly, Z., Agarwal, A., Alwan, N. & Luyckx, V. A. Long COVID: long-term health outcomes and implications for policy and research. Nat. Rev. Nephrol. 19, 1–2 (2023).", "volume": "19", "year": "2023" }, { "DOI": "10.1038/s41562-024-01853-4", "author": "Y Wang", "doi-asserted-by": "publisher", "first-page": "1076", "journal-title": "Nat. Hum. Behav.", "key": "50495_CR5", "unstructured": "Wang, Y., Su, B., Xie, J., Garcia-Rizo, C. & Prieto-Alhambra, D. Long-term risk of psychiatric disorder and psychotropic prescription after SARS-CoV-2 infection among UK general population. Nat. Hum. Behav. 8, 1076–1087(2024).", "volume": "8", "year": "2024" }, { "DOI": "10.1038/s41591-023-02521-2", "doi-asserted-by": "crossref", "key": "50495_CR6", "unstructured": "Bowe, B., Xie, Y. & Al-Aly, Z. Postacute sequelae of COVID-19 at 2 years. Nature Medicine, 1-11 (2023)." }, { "DOI": "10.1136/bmj-2022-074425", "author": "T Ballouz", "doi-asserted-by": "publisher", "first-page": "e074425", "journal-title": "BMJ", "key": "50495_CR7", "unstructured": "Ballouz, T. et al. Recovery and symptom trajectories up to two years after SARS-CoV-2 infection: population based, longitudinal cohort study. BMJ 381, e074425 (2023).", "volume": "381", "year": "2023" }, { "DOI": "10.1038/d41586-022-02140-w", "author": "H Ledford", "doi-asserted-by": "publisher", "first-page": "258", "journal-title": "Nature", "key": "50495_CR8", "unstructured": "Ledford, H. Long-COVID treatments: why the world is still waiting. Nature 608, 258–260 (2022).", "volume": "608", "year": "2022" }, { "DOI": "10.1073/pnas.2213524119", "author": "L Shaffer", "doi-asserted-by": "publisher", "journal-title": "Proc. Natl Acad. Sci. USA", "key": "50495_CR9", "unstructured": "Shaffer, L. Lots of long COVID treatment leads, but few are proven. Proc. Natl Acad. Sci. USA 119, e2213524119 (2022).", "volume": "119", "year": "2022" }, { "DOI": "10.1038/s41591-022-01840-0", "author": "Z Al-Aly", "doi-asserted-by": "publisher", "first-page": "1461", "journal-title": "Nat. Med.", "key": "50495_CR10", "unstructured": "Al-Aly, Z., Bowe, B. & Xie, Y. Long COVID after breakthrough SARS-CoV-2 infection. Nat. Med. 28, 1461–1467 (2022).", "volume": "28", "year": "2022" }, { "DOI": "10.1016/S2213-2600(23)00414-9", "author": "M Català", "doi-asserted-by": "publisher", "first-page": "225", "journal-title": "Lancet Respir. Med.", "key": "50495_CR11", "unstructured": "Català, M. et al. The effectiveness of COVID-19 vaccines to prevent long COVID symptoms: staggered cohort study of data from the UK, Spain, and Estonia. Lancet Respir. Med. 12, 225–236 (2024).", "volume": "12", "year": "2024" }, { "DOI": "10.1001/jamainternmed.2023.0750", "author": "V Tsampasian", "doi-asserted-by": "publisher", "first-page": "566", "journal-title": "JAMA Intern. Med.", "key": "50495_CR12", "unstructured": "Tsampasian, V. et al. Risk factors associated with Post− COVID-19 condition: a systematic review and meta-analysis. JAMA Intern. Med. 183, 566–580 (2023).", "volume": "183", "year": "2023" }, { "DOI": "10.1001/jamainternmed.2023.0743", "author": "Y Xie", "doi-asserted-by": "publisher", "first-page": "554", "journal-title": "JAMA Intern. Med.", "key": "50495_CR13", "unstructured": "Xie, Y., Choi, T. & Al-Aly, Z. Association of treatment with nirmatrelvir and the risk of post–COVID-19 condition. JAMA Intern. Med. 183, 554–564 (2023).", "volume": "183", "year": "2023" }, { "DOI": "10.1136/bmj-2022-074572", "author": "Y Xie", "doi-asserted-by": "publisher", "first-page": "e074572", "journal-title": "BMJ", "key": "50495_CR14", "unstructured": "Xie, Y., Choi, T. & Al-Aly, Z. Molnupiravir and risk of post-acute sequelae of covid-19: cohort study. BMJ 381, e074572 (2023).", "volume": "381", "year": "2023" }, { "DOI": "10.1001/jama.2022.7408", "author": "CD Patnode", "doi-asserted-by": "publisher", "first-page": "375", "journal-title": "Jama", "key": "50495_CR15", "unstructured": "Patnode, C. D., Redmond, N., Iacocca, M. O. & Henninger, M. Behavioral counseling interventions to promote a healthy diet and physical activity for cardiovascular disease prevention in adults without known cardiovascular disease risk factors: updated evidence report and systematic review for the us preventive services task force. Jama 328, 375–388 (2022).", "volume": "328", "year": "2022" }, { "DOI": "10.1001/jamainternmed.2020.0618", "author": "ST Nyberg", "doi-asserted-by": "publisher", "first-page": "760", "journal-title": "JAMA Intern. Med.", "key": "50495_CR16", "unstructured": "Nyberg, S. T. et al. Association of healthy lifestyle with years lived without major chronic diseases. JAMA Intern. Med. 180, 760–768 (2020).", "volume": "180", "year": "2020" }, { "DOI": "10.1002/wps.20773", "author": "J Firth", "doi-asserted-by": "publisher", "first-page": "360", "journal-title": "World Psychiatry", "key": "50495_CR17", "unstructured": "Firth, J. et al. A meta‐review of “lifestyle psychiatry”: the role of exercise, smoking, diet and sleep in the prevention and treatment of mental disorders. World Psychiatry 19, 360–380 (2020).", "volume": "19", "year": "2020" }, { "DOI": "10.1016/j.bbi.2020.05.059", "author": "M Hamer", "doi-asserted-by": "publisher", "first-page": "184", "journal-title": "Brain Behav. Immun.", "key": "50495_CR18", "unstructured": "Hamer, M., Kivimäki, M., Gale, C. R. & Batty, G. D. Lifestyle risk factors, inflammatory mechanisms, and COVID-19 hospitalization: A community-based cohort study of 387,109 adults in UK. Brain Behav. Immun. 87, 184–187 (2020).", "volume": "87", "year": "2020" }, { "DOI": "10.1016/j.bbi.2021.04.022", "author": "MN Ahmadi", "doi-asserted-by": "publisher", "first-page": "18", "journal-title": "Brain Behav. Immun.", "key": "50495_CR19", "unstructured": "Ahmadi, M. N., Huang, B.-H., Inan-Eroglu, E., Hamer, M. & Stamatakis, E. Lifestyle risk factors and infectious disease mortality, including COVID-19, among middle aged and older adults: Evidence from a community-based cohort study in the United Kingdom. Brain Behav. Immun. 96, 18–27 (2021).", "volume": "96", "year": "2021" }, { "DOI": "10.1016/j.autrev.2016.01.001", "author": "C Perricone", "doi-asserted-by": "publisher", "first-page": "354", "journal-title": "Autoimmun. Rev.", "key": "50495_CR20", "unstructured": "Perricone, C. et al. Smoke and autoimmunity: The fire behind the disease. Autoimmun. Rev. 15, 354–374 (2016).", "volume": "15", "year": "2016" }, { "DOI": "10.1016/j.autrev.2017.11.010", "author": "K Sharif", "doi-asserted-by": "publisher", "first-page": "53", "journal-title": "Autoimmun. Rev.", "key": "50495_CR21", "unstructured": "Sharif, K. et al. Physical activity and autoimmune diseases: Get moving and manage the disease. Autoimmun. Rev. 17, 53–72 (2018).", "volume": "17", "year": "2018" }, { "DOI": "10.1038/s41588-022-01286-7", "author": "J Ghouse", "doi-asserted-by": "publisher", "first-page": "399", "journal-title": "Nat. Genet.", "key": "50495_CR22", "unstructured": "Ghouse, J. et al. Genome-wide meta-analysis identifies 93 risk loci and enables risk prediction equivalent to monogenic forms of venous thromboembolism. Nat. Genet. 55, 399–409 (2023).", "volume": "55", "year": "2023" }, { "DOI": "10.1001/jamacardio.2018.4537", "author": "J Gregson", "doi-asserted-by": "publisher", "first-page": "163", "journal-title": "JAMA Cardiol.", "key": "50495_CR23", "unstructured": "Gregson, J. et al. Cardiovascular risk factors associated with venous thromboembolism. JAMA Cardiol. 4, 163–173 (2019).", "volume": "4", "year": "2019" }, { "DOI": "10.1016/j.ypmed.2012.06.017", "author": "M Loef", "doi-asserted-by": "publisher", "first-page": "163", "journal-title": "Prev. Med.", "key": "50495_CR24", "unstructured": "Loef, M. & Walach, H. The combined effects of healthy lifestyle behaviors on all cause mortality: a systematic review and meta-analysis. Prev. Med. 55, 163–170 (2012).", "volume": "55", "year": "2012" }, { "DOI": "10.1038/s41467-023-40310-0", "author": "J Xie", "doi-asserted-by": "publisher", "journal-title": "Nat. Commun.", "key": "50495_CR25", "unstructured": "Xie, J. et al. Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection. Nat. Commun. 14, 4659 (2023).", "volume": "14", "year": "2023" }, { "key": "50495_CR26", "unstructured": "Office for National Statistics. Coronavirus (COVID-19) latest insights: Infections, <https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/articles/coronaviruscovid19latestinsights/infections>" }, { "DOI": "10.1136/bmj-2022-072117", "author": "T Greenhalgh", "doi-asserted-by": "publisher", "first-page": "e072117", "journal-title": "BMJ", "key": "50495_CR27", "unstructured": "Greenhalgh, T., Sivan, M., Delaney, B., Evans, R. & Milne, R. Long covid—an update for primary care. BMJ 378, e072117 (2022).", "volume": "378", "year": "2022" }, { "DOI": "10.1001/jamainternmed.2022.6555", "author": "S Wang", "doi-asserted-by": "publisher", "first-page": "232", "journal-title": "JAMA Intern. Med.", "key": "50495_CR28", "unstructured": "Wang, S. et al. Adherence to healthy lifestyle prior to infection and risk of post–COVID-19 condition. JAMA Intern. Med. 183, 232–241 (2023).", "volume": "183", "year": "2023" }, { "DOI": "10.1093/ije/dyac076", "author": "S Luo", "doi-asserted-by": "publisher", "first-page": "1088", "journal-title": "Int J. Epidemiol.", "key": "50495_CR29", "unstructured": "Luo, S., Liang, Y., Wong, T. H. T., Schooling, C. M. & Au Yeung, S. L. Identifying factors contributing to increased susceptibility to COVID-19 risk: a systematic review of Mendelian randomization studies. Int J. Epidemiol. 51, 1088–1105 (2022).", "volume": "51", "year": "2022" }, { "DOI": "10.1093/eurjpc/zwae070", "author": "V Tsampasian", "doi-asserted-by": "publisher", "journal-title": "Eur. J. Prev. Cardiol.", "key": "50495_CR30", "unstructured": "Tsampasian, V. et al. Cardiovascular disease as part of Long COVID: A systematic review. Eur. J. Prev. Cardiol. https://doi.org/10.1093/eurjpc/zwae070 (2024).", "year": "2024" }, { "DOI": "10.1136/bmj.m4721", "author": "D Salman", "doi-asserted-by": "publisher", "first-page": "m4721", "journal-title": "BMJ", "key": "50495_CR31", "unstructured": "Salman, D. et al. Returning to physical activity after covid-19. BMJ 372, m4721 (2021).", "volume": "372", "year": "2021" }, { "DOI": "10.1016/S2213-2600(22)00159-X", "author": "LL Florencio", "doi-asserted-by": "publisher", "first-page": "726", "journal-title": "Lancet Respir. Med.", "key": "50495_CR32", "unstructured": "Florencio, L. L. & Fernández-de-Las-Peñas, C. Long COVID: systemic inflammation and obesity as therapeutic targets. Lancet Respir. Med. 10, 726–727 (2022).", "volume": "10", "year": "2022" }, { "key": "50495_CR33", "unstructured": "Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study. Lancet. Respir. Med. 10, 761-775 (2022)." }, { "DOI": "10.1371/journal.pmed.1001917", "author": "D Ding", "doi-asserted-by": "publisher", "first-page": "e1001917", "journal-title": "PLoS Med.", "key": "50495_CR34", "unstructured": "Ding, D., Rogers, K., van der Ploeg, H., Stamatakis, E. & Bauman, A. E. Traditional and Emerging Lifestyle Risk Behaviors and All-Cause Mortality in Middle-Aged and Older Adults: Evidence from a Large Population-Based Australian Cohort. PLoS Med. 12, e1001917 (2015).", "volume": "12", "year": "2015" }, { "DOI": "10.1136/bmj.m131", "author": "GD Batty", "doi-asserted-by": "publisher", "first-page": "m131", "journal-title": "BMJ", "key": "50495_CR35", "unstructured": "Batty, G. D., Gale, C. R., Kivimäki, M., Deary, I. J. & Bell, S. Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis. BMJ 368, m131 (2020).", "volume": "368", "year": "2020" }, { "DOI": "10.1126/scitranslmed.adf4428", "author": "NE Allen", "doi-asserted-by": "publisher", "journal-title": "Sci. Transl. Med.", "key": "50495_CR36", "unstructured": "Allen, N. E. et al. Prospective study design and data analysis in UK Biobank. Sci. Transl. Med. 16, eadf4428 (2024).", "volume": "16", "year": "2024" }, { "DOI": "10.1093/aje/kwt330", "author": "S Sabia", "doi-asserted-by": "publisher", "first-page": "781", "journal-title": "Am. J. Epidemiol.", "key": "50495_CR37", "unstructured": "Sabia, S. et al. Association between questionnaire- and accelerometer-assessed physical activity: the role of sociodemographic factors. Am. J. Epidemiol. 179, 781–790 (2014).", "volume": "179", "year": "2014" }, { "DOI": "10.1038/s41467-019-08917-4", "author": "HS Dashti", "doi-asserted-by": "publisher", "journal-title": "Nat. Commun.", "key": "50495_CR38", "unstructured": "Dashti, H. S. et al. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nat. Commun. 10, 1100 (2019).", "volume": "10", "year": "2019" }, { "DOI": "10.1371/journal.pone.0169649", "author": "A Doherty", "doi-asserted-by": "publisher", "first-page": "e0169649", "journal-title": "PLoS One", "key": "50495_CR39", "unstructured": "Doherty, A. et al. Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLoS One 12, e0169649 (2017).", "volume": "12", "year": "2017" }, { "DOI": "10.1016/S0140-6736(22)00847-9", "author": "D Bryazka", "doi-asserted-by": "publisher", "first-page": "185", "journal-title": "Lancet", "key": "50495_CR40", "unstructured": "Bryazka, D. et al. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet 400, 185–235 (2022).", "volume": "400", "year": "2022" }, { "DOI": "10.1038/s41591-022-01968-z", "author": "H Lescinsky", "doi-asserted-by": "publisher", "first-page": "2075", "journal-title": "Nat. Med.", "key": "50495_CR41", "unstructured": "Lescinsky, H. et al. Health effects associated with consumption of unprocessed red meat: a Burden of Proof study. Nat. Med. 28, 2075–2082 (2022).", "volume": "28", "year": "2022" }, { "DOI": "10.1038/s41586-021-03553-9", "author": "Z Al-Aly", "doi-asserted-by": "publisher", "first-page": "259", "journal-title": "Nature", "key": "50495_CR42", "unstructured": "Al-Aly, Z., Xie, Y. & Bowe, B. High-dimensional characterization of post-acute sequelae of COVID-19. Nature 594, 259–264 (2021).", "volume": "594", "year": "2021" }, { "DOI": "10.1681/ASN.2021060734", "author": "B Bowe", "doi-asserted-by": "publisher", "first-page": "2851", "journal-title": "J. Am. Soc. Nephrol.", "key": "50495_CR43", "unstructured": "Bowe, B., Xie, Y., Xu, E. & Al-Aly, Z. Kidney outcomes in long COVID. J. Am. Soc. Nephrol. 32, 2851–2862 (2021).", "volume": "32", "year": "2021" }, { "author": "Y Xie", "first-page": "311", "journal-title": "Diab. Endocrinol.", "key": "50495_CR44", "unstructured": "Xie, Y. & Al-Aly, Z. Risks and burdens of incident diabetes in long COVID: a cohort study. The lancet. Diab. Endocrinol. 10, 311–321 (2022).", "volume": "10", "year": "2022" }, { "DOI": "10.1136/bmj-2021-068993", "author": "Y Xie", "doi-asserted-by": "publisher", "first-page": "e068993", "journal-title": "BMJ", "key": "50495_CR45", "unstructured": "Xie, Y., Xu, E. & Al-Aly, Z. Risks of mental health outcomes in people with covid-19: cohort study. BMJ 376, e068993 (2022).", "volume": "376", "year": "2022" }, { "DOI": "10.1038/s41591-022-01689-3", "author": "Y Xie", "doi-asserted-by": "publisher", "first-page": "583", "journal-title": "Nat. Med.", "key": "50495_CR46", "unstructured": "Xie, Y., Xu, E., Bowe, B. & Al-Aly, Z. Long-term cardiovascular outcomes of COVID-19. Nat. Med. 28, 583–590 (2022).", "volume": "28", "year": "2022" }, { "DOI": "10.1038/s41591-022-02001-z", "author": "E Xu", "doi-asserted-by": "publisher", "first-page": "2406", "journal-title": "Nat. Med.", "key": "50495_CR47", "unstructured": "Xu, E., Xie, Y. & Al-Aly, Z. Long-term neurologic outcomes of COVID-19. Nat. Med. 28, 2406–2415 (2022).", "volume": "28", "year": "2022" }, { "DOI": "10.1038/s41467-023-36223-7", "author": "E Xu", "doi-asserted-by": "publisher", "journal-title": "Nat. Commun.", "key": "50495_CR48", "unstructured": "Xu, E., Xie, Y. & Al-Aly, Z. Long-term gastrointestinal outcomes of COVID-19. Nat. Commun. 14, 983 (2023).", "volume": "14", "year": "2023" }, { "DOI": "10.1136/bmj.n1098", "author": "SE Daugherty", "doi-asserted-by": "publisher", "first-page": "n1098", "journal-title": "BMJ", "key": "50495_CR49", "unstructured": "Daugherty, S. E. et al. Risk of clinical sequelae after the acute phase of SARS-CoV-2 infection: retrospective cohort study. BMJ 373, n1098 (2021).", "volume": "373", "year": "2021" }, { "DOI": "10.1016/j.eclinm.2023.102000", "author": "ICH Lam", "doi-asserted-by": "publisher", "journal-title": "EClinicalMedicine", "key": "50495_CR50", "unstructured": "Lam, I. C. H. et al. Long-term post-acute sequelae of COVID-19 infection: a retrospective, multi-database cohort study in Hong Kong and the UK. EClinicalMedicine 60, 102000 (2023).", "volume": "60", "year": "2023" }, { "DOI": "10.1038/s41586-018-0579-z", "author": "C Bycroft", "doi-asserted-by": "publisher", "first-page": "203", "journal-title": "Nature", "key": "50495_CR51", "unstructured": "Bycroft, C. et al. The UK Biobank resource with deep phenotyping and genomic data. Nature 562, 203–209 (2018).", "volume": "562", "year": "2018" }, { "DOI": "10.1093/jamia/ocz105", "author": "S Denaxas", "doi-asserted-by": "publisher", "first-page": "1545", "journal-title": "J. Am. Med. Inform. Assoc.", "key": "50495_CR52", "unstructured": "Denaxas, S. et al. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J. Am. Med. Inform. Assoc. 26, 1545–1559 (2019).", "volume": "26", "year": "2019" }, { "DOI": "10.1016/S2589-7500(19)30012-3", "author": "V Kuan", "doi-asserted-by": "publisher", "first-page": "e63", "journal-title": "Lancet Digit Health", "key": "50495_CR53", "unstructured": "Kuan, V. et al. A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. Lancet Digit Health 1, e63–e77 (2019).", "volume": "1", "year": "2019" }, { "author": "J Armstrong", "first-page": "mgen000397", "journal-title": "Microb. Genom.", "key": "50495_CR54", "unstructured": "Armstrong, J. et al. Dynamic linkage of COVID-19 test results between Public Health England’s second generation surveillance system and UK Biobank. Microb. Genom. 6, mgen000397 (2020).", "volume": "6", "year": "2020" }, { "key": "50495_CR55", "unstructured": "NHS. NHS advice about healthy living, including eating a balanced diet, healthy weight, exercise, quitting smoking and drinking less alcohol., <https://www.nhs.uk/live-well/> (2023)." }, { "key": "50495_CR56", "unstructured": "Office for Health Improvement & Disparities. Healthy eating: applying All Our Health, <https://www.gov.uk/government/publications/healthy-eating-applying-all-our-health/healthy-eating-applying-all-our-health> (2023)." }, { "DOI": "10.1016/S2468-2667(18)30200-7", "author": "HM Foster", "doi-asserted-by": "publisher", "first-page": "e576", "journal-title": "Lancet Public Health", "key": "50495_CR57", "unstructured": "Foster, H. M. et al. The effect of socioeconomic deprivation on the association between an extended measurement of unhealthy lifestyle factors and health outcomes: a prospective analysis of the UK Biobank cohort. Lancet Public Health 3, e576–e585 (2018).", "volume": "3", "year": "2018" }, { "key": "50495_CR58", "unstructured": "Smith, T. et al. The English indices of deprivation 2015. London: Department for Communities and Local Government, 1-94 (2015)." }, { "DOI": "10.1136/bmj-2022-071757", "author": "AG Cashin", "doi-asserted-by": "publisher", "first-page": "e071757", "journal-title": "BMJ", "key": "50495_CR59", "unstructured": "Cashin, A. G., McAuley, J. H., VanderWeele, T. J. & Lee, H. Understanding how health interventions or exposures produce their effects using mediation analysis. BMJ 382, e071757 (2023).", "volume": "382", "year": "2023" }, { "DOI": "10.1001/jama.2021.14075", "author": "H Lee", "doi-asserted-by": "publisher", "first-page": "1045", "journal-title": "JAMA", "key": "50495_CR60", "unstructured": "Lee, H. et al. A Guideline for Reporting Mediation Analyses of Randomized Trials and Observational Studies: The AGReMA Statement. JAMA 326, 1045–1056, (2021).", "volume": "326", "year": "2021" }, { "DOI": "10.1016/S0140-6736(20)30925-9", "author": "T Vos", "doi-asserted-by": "publisher", "first-page": "1204", "journal-title": "Lancet", "key": "50495_CR61", "unstructured": "Vos, T. et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 396, 1204–1222 (2020).", "volume": "396", "year": "2020" }, { "DOI": "10.1001/jama.2022.18931", "author": "SW Hanson", "doi-asserted-by": "publisher", "first-page": "1604", "journal-title": "Jama", "key": "50495_CR62", "unstructured": "Hanson, S. W. et al. Estimated global proportions of individuals with persistent fatigue, cognitive, and respiratory symptom clusters following symptomatic COVID-19 in 2020 and 2021. Jama 328, 1604–1615 (2022).", "volume": "328", "year": "2022" } ], "reference-count": 62, "references-count": 62, "relation": {}, "resource": { "primary": { "URL": "https://www.nature.com/articles/s41467-024-50495-7" } }, "score": 1, "short-title": [], "source": "Crossref", "subject": [], "subtitle": [], "title": "Modifiable lifestyle factors and the risk of post-COVID-19 multisystem sequelae, hospitalization, and death", "type": "journal-article", "update-policy": "http://dx.doi.org/10.1007/springer_crossmark_policy", "volume": "15" }
Loading..
Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
  or use drag and drop   
Submit