Evidence map›Paper›PMID 39337177›Full record

ArticleHealthcare (Basel, Switzerland)2024

Factors Associated with Older People's Anxiety Symptom Positioning after COVID-19: Cross-Sectional Findings from a Canadian Sample.

Gail Low, Anila Naz AliSher, Juceli Morero, Zhiwei Gao, Gloria Gutman, Alex Franca, Sofia von Humboldt

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. 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

7 authors.

Gail LowFaculty of Nursing, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0002-5004-3549
Anila Naz AliSherFaculty of Nursing, University of Alberta, Edmonton, AB T6G 1C9, Canada.ORCID 0000-0001-8572-5390
Juceli MoreroCollege of Nursing, University of Sao Paulo at Ribeirão Preto, Sao Paulo 14040-902, Brazil.ORCID 0000-0002-1014-1136
Zhiwei GaoFaculty of Medicine, Memorial University, St. John's, NL A1B 3V6, Canada.ORCID 0000-0002-5313-4884
Gloria GutmanGerontology Research Centre, Simon Fraser University, Vancouver, BC V6B 5K3, Canada.ORCID 0000-0001-8810-2287
Alex FrancaLaboratory of Human Development and Cognition, Federal University of São Carlos, São Paulo 13566-590, Brazil.ORCID 0000-0001-9602-9294
Sofia von HumboldtWilliam James Center for Research, ISPA-Instituto Universitário, 1149-041 Lisbon, Portugal.ORCID 0000-0001-9664-6735

Funding

RTEOERO RES0056223
6 · The paper itself

Abstract

This study sheds light on the personal characteristics of older Canadians self-identifying as severely anxious and the coping strategies that they gravitated to mitigate their anxiety. Our studied sample consisted of 606 Canadians aged 60 and above who took part in an e-survey across all 10 of Canada's provinces, launched in July 2022, when social distancing was lifted across the country. Participants completed a personal characteristics questionnaire, the Geriatric Anxiety Scale or GAS-10, and a checklist of everyday coping strategies for mitigating anxiety. A seemingly greater number of severely anxious Canadians were born female, self-identified as a cisgender woman, and were in their 60s and in poor to fair health. A univariate logistic regression analysis revealed that all such personal characteristics were associated with statistically significantly greater odds of experiencing severe anxiety. In our multivariate logistic regression analysis, no significant differences were observed between the sexes (

Indexed as

anxietycoping behaviorslogistic regressionolder adultssurvey

Identifiers

PMID39337177
PMCPMC11431020

What OpenQuestion holds

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LicenceCC BY
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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.