Samenvatting
Objectives: To quantify inconsistent self-reporting of chronic conditions between the baseline (2011–2015) and first follow-up surveys (2015–2018) in the Canadian Longitudinal Study on Aging (CLSA), and to explore methods to resolve inconsistent responses and impact on multimorbidity. Methods: Community-dwelling adults aged 45–85 years in the baseline and first follow-up surveys were included (n = 45,184). At each survey, participants self-reported whether they ever had a physician diagnosis of 35 chronic conditions. Identifiable inconsistent responses were enumerated. Results: 32–40% of participants had at least one inconsistent response across all conditions. Illness-related information (e.g., taking medication) resolved most inconsistent responses (>93%) while computer-assisted software asking participants to confirm their inconsistent disease status resolved ≤53%. Using these adjudication methods, multimorbidity prevalence at follow-up increased by ≤1.6% compared to the prevalence without resolving inconsistent responses. Discussion: Inconsistent self-reporting of chronic conditions is common but may not substantially affect multimorbidity prevalence. Future research should validate methods to resolve inconsistencies.
Originele taal-2 | Engels |
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Pagina's (van-tot) | 40-53 |
Aantal pagina's | 14 |
Tijdschrift | Journal of Aging and Health |
Volume | 37 |
Nummer van het tijdschrift | 1-2 |
Vroegere onlinedatum | 28 nov. 2023 |
DOI's | |
Status | Gepubliceerd - jan. 2025 |
Financiering
This research was made possible using the data/biospecimens collected by the Canadian Longitudinal Study on Aging (CLSA). Funding for the Canadian Longitudinal Study on Aging (CLSA) is provided by the Government of Canada through the Canadian Institutes of Health Research (CIHR) under grant reference: LSA 94473 and the Canada Foundation for Innovation, as well as the following provinces, Newfoundland, Nova Scotia, Quebec, Ontario, Manitoba, Alberta, and British Columbia. This research has been conducted using the CLSA dataset, Baseline Comprehensive dataset version 7.0, Baseline Tracking dataset version 4.0, Follow-Up 1 Comprehensive version 5.0 and Follow-Up 1 Tracking Dataset version 3.1, under Application Number 190226. The CLSA is led by Drs. Parminder Raina, Christina Wolfson, and Susan Kirkland. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by funding from a Canadian Institutes of Health Research (CIHR) Grant (FRN 170295). Lauren Griffith is supported by the McLaughlin Foundation Professorship in Population and Public Health. CIHR did have any role in this study.
Financiers | Financiernummer |
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Canadian Institutes of Health Research | LSA 94473, FRN 170295 |