{"doi":"10.17615/be5p-yn77","title":"Visit-to-Visit Variability in Blood Pressure Is Related to Late-Life Cognitive DeclineNovelty and Significance","abstract":"The association between visit-to-visit variability of blood pressure (BP) and cognitive decline over time remains incompletely understood in a general population of older adults. We assessed the hypothesis that higher visit-to-visit variability in BP, but not mean BP, would be associated with faster decline in cognitive function among community-dwelling older adults. This prospective cohort study comprised 976 adults who had 3 or 4 visits with BP measurements as part of the China Health and Nutrition Survey from 1991, up to their first cognitive tests, and completed cognitive screening tests at 2 or more visits in 1997, 2000 or 2004. Visit-to visit BP variability was expressed as the standard deviation (SD), coefficient of variation or as the variation independent of mean BP across visits conducted at a mean interval of 3.2y. Mean (SD) age at the first cognitive test was 64 (6)y. Using multivariable-adjusted linear mixed-effects models, we found higher visit-to-visit variability in systolic BP, but not mean systolic BP, was associated with a faster decline of cognitive function (adjusted mean difference [95% CI] for high vs. low tertile of SD variability: standardized composite scores −0.038 standardized units (SU)/y [−0.066, −0.009] and verbal memory −0.041 SU/y [−0.075 to −0.008]). Higher visit-to-visit variability in diastolic BP was associated with a faster decline of cognitive function, independent of mean diastolic BP, among adults 55–64y but not those ≥ 65y. Our results suggest that higher long-term BP visit-to-visit variability is associated with a faster rate of cognitive decline among older adults.","journal":"UNC Libraries","year":2020,"id":140410,"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":0.9506,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":515185,"name":"Anthony J. Viera","orcid":"0000-0001-5770-2052","position":1,"is_corresponding":false},{"id":245214,"name":"Brenda L. Plassman","orcid":"0000-0003-2867-7198","position":2,"is_corresponding":false},{"id":74980,"name":"Paul Muntner","orcid":"0000-0002-4711-5492","position":3,"is_corresponding":false},{"id":527919,"name":"Michelle A. Méndez","orcid":null,"position":4,"is_corresponding":false},{"id":528889,"name":"Bo Qin","orcid":"0009-0002-6874-3874","position":5,"is_corresponding":false},{"id":235011,"name":"Barry M. Popkin","orcid":"0000-0001-9495-9324","position":6,"is_corresponding":false},{"id":324211,"name":"Linda S. Adair","orcid":"0000-0002-3670-8073","position":7,"is_corresponding":false},{"id":426131,"name":"Lloyd J. Edwards","orcid":"0000-0002-7788-4575","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-18T23:17:17.077903Z","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":[]}