Evidence map›Paper›PMID 33894985›Full record

Observational studyNursing outlook

Associations between COVID-19 perceptions, anxiety, and depressive symptoms among adults living in the United States.

Kelly L Wierenga, Scott Emory Moore, Susan J Pressler, Eileen Danaher Hacker, Susan M Perkins

Abstract readObservational Study
In one paragraph

Observational study in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

5 authors.

Kelly L WierengaIndiana University School of Nursing, Indianapolis, IN. Electronic address: kwiereng@iu.edu.
Scott Emory MooreFrances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH.
Susan J PresslerIndiana University School of Nursing, Indianapolis, IN.
Eileen Danaher HackerIndiana University School of Nursing, Indianapolis, IN.
Susan M PerkinsIndiana University School of Medicine, Indianapolis, IN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssociations among illness perceptions of viruses, anxiety and depression symptoms, and self-management decisions, such as mask-wearing, are critical to informing public health practices to mitigate the short- and long-term consequences of the SARS-CoV-2 viral pandemic. PURPOSE: Guided by the common-sense model of self-regulation, this observational study examined associations among illness perceptions of COVID-19, anxiety, and depression symptoms among community-dwelling adults.

methodData were collected from 1380 adults living in the United States early in the pandemic (03-23-2020 to 06-02-2020). Participants completed online surveys. Analyses were conducted using descriptive statistics and correlations.

findingsWhile increased anxiety symptoms were associated with less perceived personal control, greater concern, and higher emotional responsiveness, increased depression symptoms were related to lower concern as well as greater emotional responsiveness and perceived consequences of the pandemic. DISCUSSION: Associations among illness perceptions, anxiety, and depression symptoms may impact viral spread mitigation behavior adoption.

Indexed as

Health BehaviorRisk Reduction BehaviorAdultAgedAnxietyCOVID-19DepressionHealth Knowledge, Attitudes, PracticeHumansIndependent LivingMiddle AgedSelf-ControlSocial PerceptionSocioeconomic FactorsSurveys and QuestionnairesUnited StatesAnxietyCoronavirusCOVID-19DepressionIllness Perceptions

Identifiers

PMID33894985
PMCPMC8530452

What OpenQuestion holds

Textmetadata
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.