Evidence map›Paper›PMID 32872439›Full record

ArticleInternational journal of environmental research and public health2020

What Protective Health Measures Are Americans Taking in Response to COVID-19? Results from the COVID Impact Survey.

Fares Qeadan, Nana Akofua Mensah, Benjamin Tingey, Rona Bern, Tracy Rees, Sharon Talboys, Tejinder Pal Singh, Steven Lacey, Kimberley Shoaf

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.4field-weighted citation impact, top 5% of its field
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

23 citing papers in PubMed, 40 citations in OpenAlex.

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  11. Predicting Public Adherence to COVID-19 Preventive Measures: A Cross-Sectional Study in Hong Kong.International journal of environmental research and public health · 2021
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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

9 authors at 1 institution in 1 country.

Fares QeadanDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.ORCID 0000-0002-3376-220X
Nana Akofua MensahDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.ORCID 0000-0002-8380-0390
Benjamin TingeyDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.ORCID 0000-0003-0620-0858
Rona BernDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
Tracy ReesDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
Sharon TalboysDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
Tejinder Pal SinghDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
Steven LaceyDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
Kimberley ShoafDepartment of Family and Preventive Medicine, University of Utah, Salt Lake City, UT 84108, USA.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the emergence of the novel SARS-CoV-2 and the disease it causes; COVID-19, compliance with/adherence to protective measures is needed. Information is needed on which measures are, or are not, being undertaken. Data collected from the COVID Impact Survey, conducted by the non-partisan and objective research organization NORC at the University of Chicago on April, May, and June of 2020, were analyzed through weighted Quasi-Poisson regression modeling to determine the association of demographics, socioeconomics, and health conditions with protective health measures taken at the individual level in response to COVID-19. The three surveys included data from 18 regional areas including 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, and TX) and 8 Metropolitan Statistical Areas (Atlanta, GA; Baltimore, MD; Birmingham, AL; Chicago, IL; Cleveland and Columbus, OH; Phoenix, AZ; and Pittsburgh, PA). Individuals with higher incomes, insurance, higher education levels, large household size, age 60+, females, minorities, those who have asthma, have hypertension, overweight or obese, and those who suffer from mental health issues during the pandemic were significantly more likely to report taking precautionary protective measures relative to their counterparts. Protective measures for the three subgroups with a known relationship to COVID-19 (positive for COVID-19, knowing an individual with COVID-19, and knowing someone who had died from COVID-19) were strongly associated with the protective health measures of washing hands, avoiding public places, and canceling social engagements. This study provides first baseline data on the response to the national COVID-19 pandemic at the individual level in the US. The found heterogeneity in the response to this pandemic by different variables can inform future research and interventions to reduce exposure to the novel SARS-CoV-2 virus.

Indexed as

Health BehaviorAdolescentAdultBetacoronavirusCitiesCommunicable Disease ControlCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralSARS-CoV-2Surveys and QuestionnairesCOVID-19protective health measurespublic healthrisk behaviorSARS-CoV-2

Identifiers

PMID32872439
PMCPMC7503253
OpenAlexW3081571855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.