Evidence map›Paper›PMID 36863186›Full record

ArticleMaturitas2023

Profiles of socially isolated community-dwelling older adults during the COVID-19 pandemic: A latent class analysis.

Nadia Sourial, Olivier Beauchet, Katya Kruglova, Stephanie Robins, Eva Margo-Dermer, Amélie Quesnel-Vallée, Cyrille Launay, Lise Dassieu, Claire Godard-Sebillotte, Sathya Karunananthan and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Maturitas, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 6 institutions in 1 country.

Nadia SourialDepartment of Health Management, Evaluation & Policy, School of Public Health, Université de Montréal, 850 Saint-Denis, Montréal, Québec H2X 0A9, Canada; Research Center of the Centre Hospitalier de l'Université de Montréal, 900 Saint Denis St, Montréal, Québec H2X 0A9, Canada. Electronic address: nadia.sourial@umontreal.ca.
Olivier BeauchetDepartment of Medicine, University of Montreal, Pavillon Roger-Gaudry, 2900 Edouard Montpetit Blvd, Montréal, Québec H3T 1J4, Canada. Electronic address: olivier.beauchet@mcgill.ca.
Katya KruglovaDepartment of Nursing Research, Université du Québec en Outaouais, 5 rue St-Joseph, St-Jérôme, Québec J7Z 0B7, Canada. Electronic address: ekaterina.kruglova@mail.mcgill.ca.
Stephanie RobinsDepartment of Nursing Research, Université du Québec en Outaouais, 5 rue St-Joseph, St-Jérôme, Québec J7Z 0B7, Canada. Electronic address: stephanie.robins@uqo.ca.
Eva Margo-DermerDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montréal, Québec H3S 1Z1, Canada. Electronic address: eva.margo-dermer@mail.mcgill.ca.
Amélie Quesnel-ValléeDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, 2001 McGill College, Suite 1200, Montréal, Québec H3A 1G1, Canada; Department of Sociology, McGill University, Leacock Building, 855 Sherbrooke Street West, Montréal, Québec H3A 2T7, Canada. Electronic address: amelie.quesnelvallee@mcgill.ca.
Cyrille LaunayDivision of Geriatric Medicine, McGill University Health Centre, Montreal General Hospital, 1650 Cedar Ave, Montréal, Québec H3G 1A4, Canada. Electronic address: cyrille.launay@mcgill.ca.
Lise DassieuResearch Center of the Centre Hospitalier de l'Université de Montréal, 900 Saint Denis St, Montréal, Québec H2X 0A9, Canada. Electronic address: lise.dassieu@umontreal.ca.
Claire Godard-SebillotteDivision of Geriatric Medicine, McGill University Health Centre, Montreal General Hospital, 1650 Cedar Ave, Montréal, Québec H3G 1A4, Canada. Electronic address: claire.godard-sebillotte@mcgill.ca.
Sathya KarunananthanInterdisciplinary School of Health Sciences, University of Ottawa, Thompson Hall, 25 University Private, Ottawa, Ontario K1N 6N5, Canada. Electronic address: sathya.karunananthan@mail.mcgill.ca.
Svetlana PuzhkoDepartment of Family Medicine, McGill University, 5858 Ch. de la Côte-des-Neiges, Montréal, Québec H3S 1Z1, Canada. Electronic address: svetlana.puzhko2@mail.mcgill.ca.
Paul HolyokeSE Research Centre, SE Health, 90 Allstate Pkwy, Markham, Ontario L3R 6H3, Canada. Electronic address: paulholyoke@sehc.com.
Eric TchouaketDepartment of Nursing Research, Université du Québec en Outaouais, 5 rue St-Joseph, St-Jérôme, Québec J7Z 0B7, Canada. Electronic address: eric.tchouaket@uqo.ca.
McGill University · CAUniversité du Québec en Outaouais · CAMcGill University Health Centre · CAUniversité de Montréal · CACentre Hospitalier de l’Université de Montréal · CAUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify different profiles of socially isolated older adults during the first wave of COVID-19 in Quebec, Canada. STUDY

designCross-sectional data were obtained through a telehealth socio-geriatric risk assessment tool, ESOGER, administered to adults aged 70 years or more between April and July 2020 in Montreal, Canada. MEASURES: Those living alone with no social contacts in the last few days were considered socially isolated. Latent class analysis was performed to identify profiles of socially isolated older adults based on: age, sex, polypharmacy, use of home care, use of a walking aid, recall of current year/month, anxiety level (scale 0-10), and need for follow-up from a healthcare provider.

resultsThree-hundred and eighty (380) older adults identified as socially isolated were analyzed, of whom 75.5 % were female and 56.6 % were over 85. Three classes were identified: Class 1 ("physically frail older females") had the highest proportion of polypharmacy, walking aid, and home care use. Class 2 ("anxious, relatively younger males") were predominantly males who used the least home care but had the highest anxiety levels. Class 3 ("seemingly well older females") had the highest proportion of females, lowest proportion of polypharmacy, lowest anxiety level, and none used a walking aid. Recall of current year/month was similar across the three classes.

conclusionsThis study found heterogeneity among socially isolated older adults during the first wave of the COVID-19 pandemic with varying levels of physical and mental health. Our findings may contribute to the development of targeted interventions to support this vulnerable population during and after the pandemic.

Indexed as

COVID-19AgedCross-Sectional StudiesFemaleHumansIndependent LivingLatent Class AnalysisMalePandemicsAgingCOVID-19Latent class analysisOlder adultsSocial isolation

Identifiers

PMID36863186
PMCPMC9941310
OpenAlexW4321457462

What OpenQuestion holds

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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.