How Stay-at-Home Orders Interact with COVID-19 Misperceptions and Individuals' Social Distancing Intentions.

Michele Boehm, Allie White, Amy Bleakley, Dannagal G Young

Abstract read

In one paragraph

Article in Journal of prevention (2022), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Michele BoehmDepartment of Communication, University of Delaware, 125 Academy St., Newark, DE, 19716, USA. mboehm@udel.edu.ORCID 0000-0003-3667-5408

Allie WhiteDepartment of Communication, University of Delaware, 125 Academy St., Newark, DE, 19716, USA.

Amy BleakleyDepartment of Communication, University of Delaware, 125 Academy St., Newark, DE, 19716, USA.

Dannagal G YoungDepartment of Communication, University of Delaware, 125 Academy St., Newark, DE, 19716, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is a health emergency in which public health policy, such as state-mandated stay-at-home orders, has the potential to reduce the speed of disease transmission and prevent the overwhelming of hospital infrastructure and unnecessary deaths. Using the Ideological Health Spirals Model (IHSM), this analysis examines how state-mandated stay-at-home orders affect the relationships among individuals' overall COVID-19 knowledge and beliefs in misinformation, as well as their attitudes, norms, and self-efficacy regarding social distancing and stay-at-home behaviors. Data were collected from a sample of 1000 adults living in the U.S. in Spring 2020. Path analyses showed that the stay-at-home orders moderated the relationship between knowledge and self-efficacy in the context of performing social distancing behaviors. Results also indicate that intention to socially distance was associated with attitudes, norms, and self-efficacy. These results demonstrate that stay-at-home orders have the capacity to bolster the effect of knowledge and beliefs on key determinants of intention.

Indexed as

COVID-19AdultHumansIntentionPandemicsPhysical DistancingCOVID-19 prevention behaviorsIdeological Health Spirals ModelMisinformationPath analysisStay-at-home orders

Identifiers

PMID35553309

DOI10.1007/s10935-022-00680-5

PMCPMC9101991

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

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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.