Evidence map›Paper›PMID 36722191›Full record

ArticleMilitary medicine2024

The Canadian Longitudinal Study on Aging: A Vehicle for Research on Aging in Older Veterans.

Christina Wolfson, Danielle E Gauvin, Juliana Schulz, Sandra Magalhaes, Catherine M Tansey, Anthony Feinstein, Alice Aiken, Brittany Scarfo, Jason Middleton, Parminder Raina and 2 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Military medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Christina WolfsonDepartment of Epidemiology and Biostatistics and Occupational Health, McGill University, Montreal, QC H3A 1G1, Canada.
Danielle E GauvinNeuroepidemiology Research Unit, Research Institute of the McGill University Health Centre, Montreal, QC H3G 1A4, Canada.
Juliana SchulzDepartment of Decision Sciences, HEC Montréal, Montréal, QC H3T 2A7, Canada.
Sandra MagalhaesNew Brunswick Institute for Research, Data and Training and Department of Sociology, University of New Brunswick, Fredericton, NB E3C 1N8, Canada.
Catherine M TanseyNeuroepidemiology Research Unit, Research Institute of the McGill University Health Centre, Montreal, QC H3G 1A4, Canada.
Anthony FeinsteinDepartment of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada.
Alice AikenFaculty of Health, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Brittany ScarfoNeuroepidemiology Research Unit, Research Institute of the McGill University Health Centre, Montreal, QC H3G 1A4, Canada.
Jason MiddletonNeuroepidemiology Research Unit, Research Institute of the McGill University Health Centre, Montreal, QC H3G 1A4, Canada.
Parminder RainaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4K1, Canada.
Linda VanTilResearch Directorate, Veterans Affairs Canada, Charlottetown, PEI C1A 8M9, Canada.
Istvan Molnar-SzakacsNeuroepidemiology Research Unit, Research Institute of the McGill University Health Centre, Montreal, QC H3G 1A4, Canada.
McGill University Health Centre · CADalhousie University · CAHEC Montréal · CAImpact · CAUniversity of New Brunswick · CAUniversity of Toronto · CAVeterans Affairs Canada · CA

Funding

CIHR LSA 9447
6 · The paper itself

Abstract

introductionResearch on the health of older Veterans in Canada is an emerging area. Few population-based studies in Canada have included older Veterans as a specific group of interest. This paper describes a cohort of self-identified Veterans within the Canadian Longitudinal Study on Aging (CLSA). MATERIALS AND

methodsUsing data from the CLSA baseline assessment (2011-2015), we describe sociodemographic and health characteristics along with military-related variables in a cohort of Veterans in Canada. We also estimate the number of Canadian and non-Canadian Veterans living in Canada at the time of the CLSA baseline data collection.

resultsWe estimate that at the CLSA baseline, there were 718,893 (95% confidence interval [CI], 680,033-757,110) Canadian Veterans and 185,548 (95% CI, 165,713-205,100) non-Canadian Veterans aged 45-85 years living in Canada. Veterans were older and predominantly male compared to non-Veterans in the CLSA. Following age and sex adjustment, the distribution of sociodemographic and health characteristics was similar across all groups. The majority (> 85%) of participants in each comparison group reported self-rated general and mental health as excellent, very good, or good. Following age and sex adjustment, most characteristics across groups remained similar. One exception was mental health, where a greater proportion of Veterans screened positive for depression and anxiety relative to non-Veterans.

conclusionsUsing CLSA baseline data, we estimate the number of older Veterans in Canada and present descriptive data that highlight interesting differences and similarities between Veterans and non-Veterans living in Canada. Canadian and non-Canadian Veterans in the CLSA are presented separately, with the latter group having not been previously studied in Canada. This paper presents a snapshot of a cohort of self-identified Veterans within the CLSA at study baseline and highlights the potential of the CLSA as a vehicle for studying the aging Veteran population in Canada for years to come.

Indexed as

AgingVeteransAgedAged, 80 and overCanadaCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID36722191
PMCPMC11110616
OpenAlexW4318754738

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.