Evidence map›Paper›PMID 41454968›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Quantifying the population-level impact of insomnia on dementia among older adults in the United States.

Yuqian Lin, Fei Wu, Yuhan Wu, Wanru Liu, Goodarz Danaei, Ruijia Chen

Abstract read
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Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuqian LinMongan Institute, Massachusetts General Hospital, Boston, Massachusetts, United States.ORCID 0000-0002-7864-8371
Fei WuDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
Yuhan WuDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
Wanru LiuHealth Services, Policy & Practice, Brown University, Providence, Rhode Island, United States.
Goodarz DanaeiDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.ORCID 0000-0003-2456-5463
Ruijia ChenDepartment of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States.

Funding

Bridging Social Epidemiology and Policy for ADRD Prevention: Effects of Poverty Alleviation Policies on Alzheimer's Disease and Related Dementias Risk and DisparitiesK99AG088369 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Ruijia Chen · 2025 to 2026
$264k
NIA NIH HHS K99 AG088369
6 · The paper itself

Abstract

backgroundInsomnia has been identified as a plausible modifiable risk factor for dementia. Quantifying its population-level impact may inform strategies to reduce dementia risk among older adults in the United States.

methodsWe used data from the 2022 National Health and Aging Trends Study (NHATS) to classify insomnia as sleep-onset insomnia, sleep-maintenance insomnia, or both, and to identify probable dementia using established algorithms. We obtained relative risks (RRs) from a published meta-analysis. Using these RRs and NHATS prevalence estimates, we estimated the population attributable fraction (PAF) of dementia cases attributable to insomnia overall and stratified by age and sex.

resultsAmong 5899 participants (44.7% aged ≥80 years; 57.9% females; 77.9% non-Hispanic White), 28.7% (95% CI: 26.9%, 30.5%) reported insomnia symptoms and 6.6% (95% CI: 5.9%, 7.3%) had probable dementia. The estimated PAF of probable dementia due to any insomnia was 12.5% (95% CI: 1.0%, 25.0%), and it was slightly higher among females (13.1%, 95% CI: 1.0%, 26.1%) than males (11.6%, 95% CI: 0.9%, 23.3%). The highest PAF was observed in the 65-69 age group (14.4%, 95% CI: 1.1%, 27.8%) among females and in the 70-74 age group (12.8%, 95% CI: 0.9%, 25.8%) among males. An estimated 449,069 (95% CI: 35 049, 923 082) dementia cases in 2022 could have been prevented if insomnia were eliminated.

conclusionsApproximately 13% of dementia cases, almost half a million cases, among US older adults may be attributable to insomnia. Addressing insomnia could be a promising target for dementia prevention efforts in aging populations.

Indexed as

DementiaSleep Initiation and Maintenance DisordersAgedAged, 80 and overFemaleHumansMalePrevalenceRisk FactorsUnited StatesAlzheimer’sCognitive agingPublic healthRisk factors

Identifiers

PMID41454968
PMCPMC13376668

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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.