ReviewJournal of the science of food and agriculture2022
Healthy eating - a modifiable contributor to optimize healthy living in the COVID-19 pandemic: a review.
Review in Journal of the science of food and agriculture, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- COVID-19 Pandemic and Infant Neurodevelopmental Impairment: A Systematic Review and Meta-analysis.JAMA network open · 2022Pooled it
- Neurodevelopment in the First 2 Years of Life Following Prenatal Exposure to Maternal SARS-CoV-2 Infection.JAMA network open · 2024Article
- Association between proximity to COVID-19 and the quality of life of healthcare workers.PloS one · 2023Article
- Consumed by Boredom: Food Choice Motivation and Weight Changes during the COVID-19 Pandemic.Behavioral sciences (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The outbreak of the novel severe acute respiratory syndrome coronavirus 2 infection in 2019 has posed major risks to global health and the economy. This coronavirus disease (COVID-19) pandemic has changed many of our everyday habits, including how we function and socialize, how we eat, and food preferences and selection. The average intake and status of certain vitamins and minerals can result in reduced immunity, which makes people more susceptible to illnesses and exacerbates malnutrition. The most critical factors in this scenario are individual risk evaluation and management techniques. Until general therapies are administered, the nutritional status of each infected patient should be assessed. The differing clinical severity of COVID-19 - from asymptomatic, to mild, to severe, to death - depends on the different metabolic status of the hosts who have contracted the virus, which is determined by their diet, age, gender, health, lifestyle, and environmental factors. A broad systematic exploration on studies of this disease was steered by means of electronic databases and was limited to articles published in English (or with an English abstract) in publications using words like 'health', 'diet', 'food', 'nutritional status', 'COVID-19', 'pandemic', 'modifiable contributor', 'immune system', 'micronutrients', 'vitamin', and so on. Careful individual consideration of the potential dietary, nutritional, medical, lifestyle, and environmental hazards, along with any supplementation with micronutrients wherever required to help to boost the body's natural defence system, with the intention to improve all levels of immunity and the use of effective risk management techniques are appropriate ways to handle the COVID-19 pandemic. © 2021 Society of Chemical Industry.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.