Evidence map›Paper›PMID 38607804›Full record

ArticleLifestyle medicine (Hoboken, N.J.)2020

Strengthening immunity through healthy lifestyle practices: Recommendations for lifestyle interventions in the management of COVID-19.

Ifeoma Monye, Abiodun Bamidele Adelowo

Abstract read
In one paragraph

Article in Lifestyle medicine (Hoboken, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ifeoma MonyeDepartment of Family Medicine National Hospital Abuja Nigeria.ORCID https://orcid.org/0000-0002-4969-8134
Abiodun Bamidele AdelowoDepartment of Medical Services State House Medical Centre Abuja Nigeria.ORCID https://orcid.org/0000-0003-0064-2209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the practice of strengthening the immune system may not guarantee that people will not contract severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there is evidence that suggests that the likelihood and severity of many viral infections can be considerably reduced if appropriate measures are taken to increase the efficacy of the immune response to invading organisms. Evidence-based public health measures to reduce viral spread include-personal isolation, physical distancing, wearing facial masks, frequent hand washing with soap and running water, not touching the face, vaccination, etc. However once infected, recovery relies on host immunity to eradicate the foreign invaders, with symptomatic management, which is the core management strategy in COVID-19 management guidelines. Researchers have observed that severe COVID-19 prevalence and mortality is highest in people with preexisting conditions. Eighty percent of these preexisting diseases are lifestyle related. Also, the science of strengthening the immune system by adopting appropriate lifestyle changes is still evolving, especially among the suspected and confirmed COVID-19 cases. This article briefly highlights the immune response to viral infections including COVID-19 and refers to evidence that healthy lifestyle practices, enshrined as core aspects of lifestyle medicine, can strengthen the immune response to infections. This may improve outcome in COVID-19. We therefore recommend specific evidence-based lifestyle intervention measures that should be considered in the management of COVID-19.

Indexed as

COVID‐19healthy lifestyle practicesimmune systemlifestyle interventionSARS‐CoV‐2supportive careviral infections

Identifiers

PMID38607804
PMCPMC7646052

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.