Association of insomnia with incident dementia – considering the competing risk of death

Abstract Background Sleep disturbances have been suggested as potential risk factors for neurodegenerative diseases. However, longitudinal studies on insomnia and dementia have mostly had too short follow‐up time to separate etiological risk factors from prodromal symptoms. Moreover, the impact of mortality as a competing risk has been overlooked. This study aims to clarify the relationship between insomnia symptoms and dementia incidence, considering the competing risk of death, within a large cohort from the Finnish population. Method The National FINRISK study, collected every five years from 1972 to 2012, included 63 013 Finns with baseline data. Approximately 12% (7638) developed dementia according to the health care registers. The follow‐up time varied from 7 to 47 years (mean = 25 years). We studied association of self‐reported insomnia (never, sometimes, often) at baseline with dementia incidence using in parallel Poisson model and Fine‐Gray model accounting for the competing risk of death. Additional analysis directly examined this competing risk. Study year, follow‐up time, sex, education, and cardiovascular risk factors were adjusted for. Sensitivity analyses included individuals with over 10 years of follow‐up. Result In the Poisson model, insomnia symptoms “sometimes” (IRR = 1.10[1.05‐1.16]) and “often” (IRR = 1.18[1.09‐1.28]) showed significant association with incident dementia and a dose‐response relationship. The results survived the sensitivity analyses. In the Fine‐Gray model, insomnia “sometimes” (HR = 1.07[1.02‐1.12) but not “often” (1.07[0.99‐1.16]) showed significant associations. Significant associations with the competing risk of death surpassing that of dementia were detected for both categories with IRRs of 1.12[1.09‐1.15]) and 1.32[1.27‐1.37]), respectively. Conclusion The findings from the Poisson model suggest that insomnia may serve as an etiological risk factor for dementia. However, the Fine‐Gray model, which focuses on the incidence of dementia in the presence of competing risk, did not show significant association with insomnia “often”. This suggests that individuals with insomnia face a higher risk of death before potentially developing dementia, implying that insomnia might not increase the true dementia incidence, despite being a risk factor. These results highlight the significance of including the competing risk of death in dementia epidemiological studies to fully understand the associations with risk factors.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095212
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of insomnia with incident dementia – considering the competing risk of death

Tiina Paunio, Jari K. Haukka, Sonja Sulkava
1 links
Alzheimer s & Dementia
Sleep and related disorders
article

Association of insomnia with incident dementia – considering the competing risk of death

Tiina Paunio, Jari K. Haukka, Sonja Sulkava
article en

Abstract

Abstract Background Sleep disturbances have been suggested as potential risk factors for neurodegenerative diseases. However, longitudinal studies on insomnia and dementia have mostly had too short follow‐up time to separate etiological risk factors from prodromal symptoms. Moreover, the impact of mortality as a competing risk has been overlooked. This study aims to clarify the relationship between insomnia symptoms and dementia incidence, considering the competing risk of death, within a large cohort from the Finnish population. Method The National FINRISK study, collected every five years from 1972 to 2012, included 63 013 Finns with baseline data. Approximately 12% (7638) developed dementia according to the health care registers. The follow‐up time varied from 7 to 47 years (mean = 25 years). We studied association of self‐reported insomnia (never, sometimes, often) at baseline with dementia incidence using in parallel Poisson model and Fine‐Gray model accounting for the competing risk of death. Additional analysis directly examined this competing risk. Study year, follow‐up time, sex, education, and cardiovascular risk factors were adjusted for. Sensitivity analyses included individuals with over 10 years of follow‐up. Result In the Poisson model, insomnia symptoms “sometimes” (IRR = 1.10[1.05‐1.16]) and “often” (IRR = 1.18[1.09‐1.28]) showed significant association with incident dementia and a dose‐response relationship. The results survived the sensitivity analyses. In the Fine‐Gray model, insomnia “sometimes” (HR = 1.07[1.02‐1.12) but not “often” (1.07[0.99‐1.16]) showed significant associations. Significant associations with the competing risk of death surpassing that of dementia were detected for both categories with IRRs of 1.12[1.09‐1.15]) and 1.32[1.27‐1.37]), respectively. Conclusion The findings from the Poisson model suggest that insomnia may serve as an etiological risk factor for dementia. However, the Fine‐Gray model, which focuses on the incidence of dementia in the presence of competing risk, did not show significant association with insomnia “often”. This suggests that individuals with insomnia face a higher risk of death before potentially developing dementia, implying that insomnia might not increase the true dementia incidence, despite being a risk factor. These results highlight the significance of including the competing risk of death in dementia epidemiological studies to fully understand the associations with risk factors.

Alzheimer s & DementiaVol. 20(S8)
University of Helsinki (FI), Finnish Institute for Health and Welfare (FI)
Openalex Percentile: Top 69%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.