Evidence map›Paper›PMID 37379315›Full record

ArticlePloS one2023

Behind closed doors: Protective social behavior during the COVID-19 pandemic.

Kyla Thomas, Peter G Szilagyi, Sitaram Vangala, Rebecca N Dudovitz, Megha D Shah, Nathalie Vizueta, Arie Kapteyn

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 12% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

7 authors at 3 institutions in 1 country.

Kyla ThomasCenter for Economic and Social Research, Dornsife College of Letters Arts and Sciences, University of Southern California, Los Angeles, CA, United States of America.ORCID 0000-0003-0860-0249
Peter G SzilagyiDepartment of Pediatrics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States of America.
Sitaram VangalaDepartment of Medicine Statistics Core, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States of America.
Rebecca N DudovitzDepartment of Pediatrics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States of America.
Megha D ShahLos Angeles County Department of Public Health, Office of Health Assessment and Epidemiology, Los Angeles, CA, United States of America.
Nathalie VizuetaDepartment of Pediatrics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, United States of America.
Arie KapteynCenter for Economic and Social Research, Dornsife College of Letters Arts and Sciences, University of Southern California, Los Angeles, CA, United States of America.
University of California, Los Angeles · USUniversity of Southern California · USLos Angeles County Department of Public Health · US

Funding

Enhancing engagement and participation of marginalized community residents in the UASU01AG077280 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Arie Kapteyn · 2023 to 2026
$50.9M
Toward Next Generation Data on Health and Life Changes at Older Ages: Administrative Supplement to track the effects of the COVID-19 pandemic on American familiesU01AG054580 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAPTEYN, ARIE · 2017 to 2022
$27.3M
NIA NIH HHS U01 AG054580NIA NIH HHS U01 AG077280
6 · The paper itself

Abstract

The success of personal non-pharmaceutical interventions as a public health strategy requires a high level of compliance from individuals in private social settings. Strategies to increase compliance in these hard-to-reach settings depend upon a comprehensive understanding of the patterns and predictors of protective social behavior. Social cognitive models of protective behavior emphasize the contribution of individual-level factors while social-ecological models emphasize the contribution of environmental factors. This study draws on 28 waves of survey data from the Understanding Coronavirus in America survey to measure patterns of adherence to two protective social behaviors-private social-distancing behavior and private masking behavior-during the COVID-19 pandemic and to assess the role individual and environmental factors play in predicting adherence. Results show that patterns of adherence fall into three categories marked by high, moderate, and low levels of adherence, with just under half of respondents exhibiting a high level of adherence. Health beliefs emerge as the single strongest predictor of adherence. All other environmental and individual-level predictors have relatively poor predictive power or primarily indirect effects.

Indexed as

COVID-19HumansPandemicsPhysical DistancingSARS-CoV-2Social Behavior

Identifiers

PMID37379315
PMCPMC10306218
OpenAlexW4382468388

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.