{"doi":"10.1177/13872877261422263","title":"Multidimensional self-reported sleep health, cognitive decline, and risk of all-cause dementia: A population-based multi-cohort study","abstract":"<jats:sec>\n                    <jats:title>Background</jats:title>\n                    <jats:p>Considering the multidimensional nature of self-report sleep health may improve identification of those at risk of accelerated cognitive decline and dementia.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective</jats:title>\n                    <jats:p>We compared how composite measures of multidimensional sleep health relate to cognitive performance and the risk of dementia over time in older adults.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods</jats:title>\n                    <jats:p>Self-reported indicators of sleep health domains (satisfaction, alertness, timing, efficiency, and duration) were measured in 7892 Rotterdam Study (RS) participants (mean ± SD age: 69.5 ± 8.9 years, 58.2% female) and 1601 Rush Memory and Aging Project and Minority Aging Research Project (MAP/MARS) participants (79.5 ± 7.9 years, 77.3% female). Sleep items were harmonized and used to derive a sleep health score (number of adverse sleep health items) and sleep health clusters (with latent class analysis). During follow-up, multiple cognitive tests were performed repeatedly and participants were followed for incident all-cause dementia. Relationships of sleep health with cognitive decline (linear mixed models) and risk of dementia (Cox proportional hazards models) were assessed in both samples, adjusting for covariates.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>Three sleep health clusters were identified: average sleep, inefficient sleep, and poor sleep. During follow-up of 10.6 ± 4.5 years in RS and 5.3 ± 2.9 years in MAP/MARS, 1148 (14.5%) and 286 (19.8%) participants developed dementia, respectively. Multidimensional sleep health scores and clusters were not significantly associated with accelerated cognitive decline or the risk of dementia in either sample (Hazard Ratios [HRs] between 0.72–1.15).</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions</jats:title>\n                    <jats:p>Findings suggest composite measures of self-reported multidimensional sleep health need refinement to be useful in identifying older adults at risk of accelerated cognitive decline and dementia.</jats:p>\n                  </jats:sec>","journal":"Journal of Alzheimer’s Disease","year":2026,"id":648014,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1264417,"name":"Nina Oryshkewych","orcid":null,"position":1,"is_corresponding":false},{"id":325844,"name":"Lisa L. Barnes","orcid":"0000-0002-0072-9817","position":2,"is_corresponding":false},{"id":1688532,"name":"Meryl Butters","orcid":null,"position":3,"is_corresponding":false},{"id":1688534,"name":"Daniel Buysse","orcid":null,"position":4,"is_corresponding":false},{"id":90161,"name":"M. Kamran Ikram","orcid":"0000-0003-0173-9571","position":5,"is_corresponding":false},{"id":396846,"name":"Andrew Lim","orcid":"0000-0003-2179-1553","position":6,"is_corresponding":false},{"id":483828,"name":"Frank J. Wolters","orcid":"0000-0003-2226-4050","position":7,"is_corresponding":false},{"id":471969,"name":"Lan Yu","orcid":"0000-0002-8693-5987","position":8,"is_corresponding":false},{"id":312681,"name":"Meredith L. Wallace","orcid":"0000-0003-3951-890X","position":9,"is_corresponding":false},{"id":421770,"name":"Annemarie I. Luik","orcid":"0000-0001-7517-197X","position":10,"is_corresponding":false},{"id":1263977,"name":"Sanne J W Hoepel","orcid":"0000-0002-3685-5946","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Multidimensional self-reported sleep health, cognitive decline, and risk of all-cause dementia: A population-based multi-cohort study","abstract":"<jats:sec>\n                    <jats:title>Background</jats:title>\n                    <jats:p>Considering the multidimensional nature of self-report sleep health may improve identification of those at risk of accelerated cognitive decline and dementia.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective</jats:title>\n                    <jats:p>We compared how composite measures of multidimensional sleep health relate to cognitive performance and the risk of dementia over time in older adults.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods</jats:title>\n                    <jats:p>Self-reported indicators of sleep health domains (satisfaction, alertness, timing, efficiency, and duration) were measured in 7892 Rotterdam Study (RS) participants (mean ± SD age: 69.5 ± 8.9 years, 58.2% female) and 1601 Rush Memory and Aging Project and Minority Aging Research Project (MAP/MARS) participants (79.5 ± 7.9 years, 77.3% female). Sleep items were harmonized and used to derive a sleep health score (number of adverse sleep health items) and sleep health clusters (with latent class analysis). During follow-up, multiple cognitive tests were performed repeatedly and participants were followed for incident all-cause dementia. Relationships of sleep health with cognitive decline (linear mixed models) and risk of dementia (Cox proportional hazards models) were assessed in both samples, adjusting for covariates.</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Results</jats:title>\n                    <jats:p>Three sleep health clusters were identified: average sleep, inefficient sleep, and poor sleep. During follow-up of 10.6 ± 4.5 years in RS and 5.3 ± 2.9 years in MAP/MARS, 1148 (14.5%) and 286 (19.8%) participants developed dementia, respectively. Multidimensional sleep health scores and clusters were not significantly associated with accelerated cognitive decline or the risk of dementia in either sample (Hazard Ratios [HRs] between 0.72–1.15).</jats:p>\n                  </jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions</jats:title>\n                    <jats:p>Findings suggest composite measures of self-reported multidimensional sleep health need refinement to be useful in identifying older adults at risk of accelerated cognitive decline and dementia.</jats:p>\n                  </jats:sec>","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41837677","pmcid":"PMC13022024","openalex_id":"https://openalex.org/W7136637544","authors":[],"funders":[{"funder_name":"Convergence, the alliance between Erasmus MC University Medical Center Rotterdam, Erasmus University Rotterdam and Delft University of Technology","grant_id":"A Lifecourse and Individual-based View on Lifestyl","title":null},{"funder_name":"Foundation for the National Institutes of Health","grant_id":"R01AG17917","title":null},{"funder_name":"Foundation for the National Institutes of Health","grant_id":"R01AG22018","title":null},{"funder_name":"Foundation for the National Institutes of Health","grant_id":"RF1AG056331 (PI: Wallace)","title":null},{"funder_name":"NIA NIH HHS","grant_id":"RF1 AG056331","title":null}],"total_grants":5,"fwci":0.0,"citation_percentile":0.24361114,"influential_citations":0,"citation_trend":[],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.1177/13872877261422263","host_type":"journal"},{"url":"https://doi.org/10.1177/13872877261422263","host_type":"publisher"},{"url":"https://journals.sagepub.com/doi/pdf/10.1177/13872877261422263","host_type":"publisher"},{"url":"https://journals.sagepub.com/doi/full-xml/10.1177/13872877261422263","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41837677","host_type":"repository"},{"url":"https://pure.eur.nl/en/publications/a1073905-bded-46ee-bc94-783b573efc4c","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13022024/","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC13022024","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC13022024?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Sleep and related disorders","Sleep and Work-Related Fatigue","Sleep and Wakefulness Research","Humans","Female","Dementia","Self Report","Aged","Male","Cognitive Dysfunction","Sleep","Cohort Studies","Sleep Wake Disorders","Neuropsychological Tests","Risk Factors","Aged, 80 and over","Sleep Duration"],"mesh_terms":["Sleep Duration","Aged","Aged, 80 and over","Dementia","Female","Humans","Male","Middle Aged","Neuropsychological Tests","Risk Factors","Sleep","Sleep Wake Disorders","Cohort Studies","Self Report","Cognitive Dysfunction"],"keywords":["Sleep (system call)","Dementia","Cognition","Cognitive decline","Effects of sleep deprivation on cognitive performance","Latent class model","Cognitive skill","Cluster analysis","Sleep","Alzheimer's disease","Cohort studies","Cognitive function","Sleep Quality","Sleep Duration"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"No poverty"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"doi"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T02:08:11.820058Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}