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All Studies   Meta Analysis    Recent:   

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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Diet for COVID-19
21st treatment shown to reduce risk in June 2021
 
*, now known with p < 0.00000000001 from 28 studies.
No treatment is 100% effective. Protocols combine complementary and synergistic treatments. * >10% efficacy in meta analysis with ≥3 clinical studies.
4,000+ studies for 60+ 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 PaperDietAll
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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