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Nutritional risk factors for SARS-CoV-2 infection: a prospective study within the NutriNet-Santé cohort

Deschasaux-Tanguy et al., BMC Medicine, doi:10.1186/s12916-021-02168-1
Nov 2021  
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Vitamin C for COVID-19
6th treatment shown to reduce risk in September 2020, now with p = 0.00000002 from 73 studies, recognized in 12 countries.
No treatment is 100% effective. Protocols combine treatments.
5,100+ studies for 109 treatments. c19early.org
Analysis of 7,766 adults in France, showing higher intakes of vitamin C, folate, vitamin K, dietary fibre, and fruit and vegetables associated with lower seropositivity.
Study covers vitamin K, vitamin B9, vitamin C, and diet.
Deschasaux-Tanguy et al., 30 Nov 2021, peer-reviewed, 95 authors.
This PaperVitamin CAll
Nutritional risk factors for SARS-CoV-2 infection: prospective study from the NutriNet-Sante ´cohort
Mathilde Touvier, M Deschasaux-Tanguy, L Bourhis, N Druesne-Pecollo, Y Esseddik, P Galan, S Hercberg, X De Lamballerie, F Carrat
17.3% in men; 35.8% and 18.4% in women) and 10.3% to injuries (4.9% among people aged 65 or more at time of death; 34.5% among people aged 25-44). Approximately 27% of the deaths registered were IDDs, representing approximately 1.8 million YLLs. Conclusions: These preliminary results confirm the importance of YLLs as a metric to target preventive strategies according to age. Moreover, by quantifying IDDs, we highlight that data gaps are important even in settings with highly developed health information systems. Next steps include applying an IDD redistribution methodology, aspirational life table and computing subnational YLLs. The French collaborative initiative should address those gaps and propose national and subnational burden metrics in the following months. Key messages: Methodological and data requirements to compute YLLs constitute a challenge even in settings with developed health information systems, highlighting the need of national institutional collaborations. Highlight data gaps in terms of ill-defined deaths in mortality database.
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Our objective was ' 'to study the associations between diet and the risk of SARS-CoV-2 infection in a large ' 'population-based sample.</jats:p>\n' ' </jats:sec><jats:sec>\n' ' <jats:title>Methods</jats:title>\n' ' <jats:p>Our analyses were conducted in the French prospective NutriNet-Santé ' 'cohort study (2009–2020). Seroprevalence of anti-SARS-CoV-2 antibodies was assessed by ELISA ' 'on dried blood spots. Dietary intakes were derived from repeated 24\u2009h dietary records ' '(at least 6) in the two years preceding the start of the COVID-19 pandemic in France ' '(February 2020). Multi-adjusted logistic regression models were computed.</jats:p>\n' ' </jats:sec><jats:sec>\n' ' <jats:title>Results</jats:title>\n' ' <jats:p>A total of 7766 adults (70.3% women, mean age: 60.3 years) were ' 'included, among which 311 were positive for anti-SARS-CoV-2 antibodies. Dietary intakes of ' 'vitamin C (OR for 1 SD=0.86 (0.75–0.98), <jats:italic>P</jats:italic>=0.02), vitamin B9 ' '(OR=0.84 (0.72–0.98), <jats:italic>P</jats:italic>=0.02), vitamin K (OR=0.86 (0.74–0.99), ' '<jats:italic>P</jats:italic>=0.04), fibers (OR=0.84 (0.72–0.98), ' '<jats:italic>P</jats:italic>=0.02), and fruit and vegetables (OR=0.85 (0.74–0.97), ' '<jats:italic>P</jats:italic>=0.02) were associated to a decreased probability of SARS-CoV-2 ' 'infection while dietary intakes of calcium (OR=1.16 (1.01–1.35), ' '<jats:italic>P</jats:italic>=0.04) and dairy products (OR=1.19 (1.06–1.33), ' '<jats:italic>P</jats:italic>=0.002) associated to increased odds. No association was detected ' 'with other food groups or nutrients or with the overall diet quality.</jats:p>\n' ' </jats:sec><jats:sec>\n' ' <jats:title>Conclusions</jats:title>\n' ' <jats:p>Higher dietary intakes of fruit and vegetables and, consistently, of ' 'vitamin C, folate, vitamin K and fibers were associated with a lower susceptibility to ' 'SARS-CoV-2 infection. Beyond its established role in the prevention of non-communicable ' 'diseases, diet could therefore also contribute to prevent some infectious diseases such as ' 'COVID-19.</jats:p>\n' ' </jats:sec>', 'DOI': '10.1186/s12916-021-02168-1', 'type': 'journal-article', 'created': { 'date-parts': [[2021, 11, 30]], 'date-time': '2021-11-30T17:24:05Z', 'timestamp': 1638293045000}, 'update-policy': 'http://dx.doi.org/10.1007/springer_crossmark_policy', 'source': 'Crossref', 'is-referenced-by-count': 3, 'title': [ 'Nutritional risk factors for SARS-CoV-2 infection: a prospective study within the ' 'NutriNet-Santé cohort'], 'prefix': '10.1186', 'volume': '19', 'author': [ {'given': 'Mélanie', 'family': 'Deschasaux-Tanguy', 'sequence': 'first', 'affiliation': []}, { 'ORCID': 'http://orcid.org/0000-0002-1277-3380', 'authenticated-orcid': False, 'given': 'Bernard', 'family': 'Srour', 'sequence': 'additional', 'affiliation': []}, {'given': 'Laurent', 'family': 'Bourhis', 'sequence': 'additional', 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Comparison between an interactive web-based self-administered ' '24\u2009h dietary record and an interview by a dietitian for large-scale ' 'epidemiological studies. BrJNutr. 2011;105:1055–64.', 'journal-title': 'BrJNutr.'}, { 'key': '2168_CR23', 'doi-asserted-by': 'publisher', 'first-page': '427', 'DOI': '10.1016/j.jand.2015.09.017', 'volume': '116', 'author': 'C Lassale', 'year': '2016', 'unstructured': 'Lassale C, Castetbon K, Laporte F, Deschamps V, Vernay M, Camilleri GM, ' 'et al. Correlations between fruit, vegetables, fish, vitamins, and fatty ' 'acids estimated by web-based nonconsecutive dietary records and ' 'respective biomarkers of nutritional status. J Acad Nutr Diet. 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' 'https://doi.org/10.1002/rmv.2269.', 'DOI': '10.1002/rmv.2269'}, { 'key': '2168_CR49', 'doi-asserted-by': 'publisher', 'first-page': '154753', 'DOI': '10.1016/j.metabol.2021.154753', 'volume': '119', 'author': 'A Bassatne', 'year': '2021', 'unstructured': 'Bassatne A, Basbous M, Chakhtoura M, El Zein O, Rahme M, El-Hajj FG. The ' 'link between COVID-19 and VItamin D (VIVID): a systematic review and ' 'meta-analysis. Metabolism. 2021;119:154753.', 'journal-title': 'Metabolism.'}, { 'key': '2168_CR50', 'doi-asserted-by': 'publisher', 'first-page': 'e02257', 'DOI': '10.1128/JCM.02257-20', 'volume': '59', 'author': 'EU Patel', 'year': '2021', 'unstructured': 'Patel EU, Bloch EM, Clarke W, Hsieh Y-H, Boon D, Eby Y, et al. ' 'Comparative performance of five commercially available serologic assays ' 'to detect antibodies to SARS-CoV-2 and identify individuals with high ' 'neutralizing titers. 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' '2021;126:191–8.', 'journal-title': 'Br J Nutr'}, { 'key': '2168_CR53', 'doi-asserted-by': 'publisher', 'first-page': '1223', 'DOI': '10.1016/S0140-6736(20)30752-2', 'volume': '396', 'author': 'CJL Murray', 'year': '2020', 'unstructured': 'Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari ' 'M, et al. Global burden of 87 risk factors in 204 countries and ' 'territories, 1990–2019: a systematic analysis for the Global Burden of ' 'Disease Study 2019. Lancet. 2020;396:1223–49.', 'journal-title': 'Lancet'}], 'container-title': ['BMC Medicine'], 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'https://link.springer.com/content/pdf/10.1186/s12916-021-02168-1.pdf', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://link.springer.com/article/10.1186/s12916-021-02168-1/fulltext.html', 'content-type': 'text/html', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://link.springer.com/content/pdf/10.1186/s12916-021-02168-1.pdf', 'content-type': 'application/pdf', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2021, 11, 30]], 'date-time': '2021-11-30T17:25:17Z', 'timestamp': 1638293117000}, 'score': 1, 'resource': { 'primary': { 'URL': 'https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-021-02168-1'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2021, 11, 30]]}, 'references-count': 53, 'journal-issue': {'issue': '1', 'published-print': {'date-parts': [[2021, 12]]}}, 'alternative-id': ['2168'], 'URL': 'http://dx.doi.org/10.1186/s12916-021-02168-1', 'relation': {}, 'ISSN': ['1741-7015'], 'issn-type': [{'value': '1741-7015', 'type': 'electronic'}], 'subject': ['General Medicine'], 'published': {'date-parts': [[2021, 11, 30]]}, 'assertion': [ { 'value': '21 July 2021', 'order': 1, 'name': 'received', 'label': 'Received', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '21 October 2021', 'order': 2, 'name': 'accepted', 'label': 'Accepted', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, { 'value': '30 November 2021', 'order': 3, 'name': 'first_online', 'label': 'First Online', 'group': {'name': 'ArticleHistory', 'label': 'Article History'}}, {'order': 1, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Declarations'}}, { 'value': 'The NutriNet-Santé study is conducted in accordance with the Declaration of ' 'Helsinki, and all procedures were approved by the Institutional Review Board of ' 'the French Institute for Health and Medical Research (IRB INSERM ' '#0000388FWA00005831) and by the National Commission on Informatics and Liberty ' '(CNIL #908,450 and #909,216). All participants provided informed consent and an ' 'electronic signature. The study is registered at ExternalRef removed ' '(#NCT03335644). The SAPRIS protocol was approved by the Inserm ethics committee ' '(approval #20-672 dated March 30, 2020). The SAPRIS-SERO study was approved by ' 'the Sud-Mediterranée III ethics committee (approval #20.04.22.74247) and ' 'electronic informed consent was obtained from all participants for dried-blood ' 'spot testing.', 'order': 2, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Ethics approval and consent to participate'}}, { 'value': 'Not applicable', 'order': 3, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Consent for publication'}}, { 'value': 'Prof Fabrice Carrat reports personal fees from Imaxio and Sanofi, outside the ' 'submitted work. All other authors declare no competing interest.', 'order': 4, 'name': 'Ethics', 'group': {'name': 'EthicsHeading', 'label': 'Competing interests'}}], 'article-number': '290'}
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