ArticleCureus2021
Analyzing Public Interest in Metabolic Health-Related Search Terms During COVID-19 Using Google Trends.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
- Catalogue of eight psychological and behavioural health risks and related disparities among 199 chronic conditions in Denmark.Scandinavian journal of public health · 2026Article
- The necessity of incorporating non-genetic risk factors into polygenic risk score models.Scientific reports · 2023Article
- COVID-19 Related Early Google Search Behavior and Health Communication in the United States: Panel Data Analysis on Health Measures.International journal of environmental research and public health · 2023Article
- Search queries related to COVID-19 based on keyword extraction.Procedia computer science · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background In late 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged as a novel virus and initiated a series of events that culminated in the global coronavirus disease 2019 (COVID-19) pandemic. Throughout 2020 and the first half of 2021, massive investigational efforts towards identifying, treating, preventing, and slowing the spread of COVID-19 were carried out. Several predictors for clinical outcomes relating to metabolic health were identified. Aim and methods This study aimed to investigate how public interest in search terms associated with metabolic health has changed throughout and during the course of the COVID-19 pandemic. Google Trends was utilized as a tool to gather and compare public interest data in a variety of search phrases. The relative search values were plotted over time, compared pre-and post-COVID-19, analyzed for correlation, assessed for trend directionality, and checked for trend inclusion. Results The public interest measured by relative search volume in "metabolic health," "exercise," "home exercise," "health," and "how to improve fitness" significantly increased from pre- to post-COVID-19 pandemic onset while "diet" and "fitness" significantly decreased. The search terms "COVID" and "coronavirus" made up more than 95% of screen queries incorporating COVID-19. During the COVID-19 pandemic, "diabetes" and "weight loss" had the most significant increases in search volume. Conclusions Given the changes in public interest observed throughout the course of the COVID-19 pandemic, it is clear that the association between metabolic health and COVID-19 is being successfully disseminated to the public. However, these changes also warrant increased public education surrounding diet and fitness to align public interest with measures proven to improve the clinical outcomes of COVID-19.
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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.