Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
8 authors.
Kyle D MooredDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8938-6357
Michael R DesjardinsDepartment of Epidemiology and Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Andrea L RossoDepartment of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.
Gina S LovasiDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
Timothy M ShieldsDepartment of Epidemiology and Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Frank C CurrieroDepartment of Epidemiology and Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Oscar L LopezDepartments of Neurology and Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Michelle C CarlsonDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Funding
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2020 to 2026
$29.3M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CARDIOVASCULAR HEALTH STUDY (CHS) - TASK AREA C, STUDY CLOSEOUT75N92021D00006 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE · 2021 to 2024
$8.4M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Longitudinal Neighborhood Determinants of ADRD Progression within a Multi-Site CohortR01AG072634 · NIA · DREXEL UNIVERSITY · PI Jana Ariel Hirsch · 2021 to 2026
$6.1M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Communities Designed to Support Cardiovascular Health for Older AdultsR01AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2015 to 2018
$2.8M
Infrastructure for mentored access to CHS data and specimensR01HL172803 · NHLBI · UNIVERSITY OF WASHINGTON · PI James S Floyd, Michelle Christina Odden · 2025 to 2026
$2.7M
Identifying alcohol-related and built environment factors that can be modified to prevent pedestrian road traffic deathR01AA028552 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RUNDLE, ANDREW G · 2021 to 2024
$2.6M
ConProject-003R56AG049970 · NIA · DREXEL UNIVERSITY · PI LOVASI, GINA S · 2022 to 2023
$1.3M
CHS-Transition PhaseN01HC55222 · NHLBI · PI , · 2007 to 2007
$575k
CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
–
Brain Health Study Research GroupBuilt Environment and Health Research Group at Columbia UniversityCommonwealth Universal Research EnhancementNational Institute on Alcohol Abuse and Alcoholism (NIAAA) R01AA028552NHLBI NIH HHS 75N92021D00006NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01HC55222NHLBI NIH HHS N01HC85079NHLBI NIH HHS N01HC85080NHLBI NIH HHS N01HC85081NHLBI NIH HHS N01HC85082NHLBI NIH HHS N01HC85083NHLBI NIH HHS N01HC85086NHLBI NIH HHS R01 HL172803NHLBI NIH HHS R01HL172803NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01HL080295NHLBI NIH HHS U01 HL130114NHLBI NIH HHS U01HL130114NIAAA NIH HHS R01 AA028552NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG023629NIA NIH HHS R01AG023629NIA NIH HHS R01 AG049970NIA NIH HHS R01AG049970NIA NIH HHS R01AG049970-S1NIA NIH HHS R01 AG072634NIA NIH HHS R01AG072634NIA NIH HHS R56 AG049970NIA NIH HHS R56AG049970Pennsylvania Department of Health SAP #4100072543Urban Health Collaborative
6 · The paper itself
Abstract
introductionBlue spaces (i.e., water bodies) may benefit cognitive health depending on their uses and surrounding spatial context. We examined associations between blue spaces and incident dementia in the Cardiovascular Health Cognition Study, and specifically within Pittsburgh, given its industrial uses of blue spaces.
methodsParticipants were 2924 adults (Pittsburgh: n = 651) ≥65 years of age. Dementia was clinically adjudicated (1992-1999). Water density was measured using both 1 km radial buffers and U.S. Census tracts.
resultsIn Pittsburgh only, greater buffer-level blue space predicted a higher risk of mixed/vascular dementia (highest vs lowest tertile: hazard ratio [HR] = 2.87, 95% confidence interval [CI]: 1.43-5.74), but not Alzheimer's disease (p > 0.05). This was attenuated adjusting for individual/neighborhood confounders (HR = 2.65, 95% CI: 0.99-7.07). Tract-level associations were attenuated but significant after adjustment. DISCUSSION: Blue space was related to vascular dementia risk after accounting for social context and using more personalized buffer-level measures. Future studies should carefully consider spatial units and differentiate blue spaces by historical uses. HIGHLIGHTS: Examined associations between nearby blue spaces and incident dementia. Tested multiple spatial units (buffer, tract) and separately for the Pittsburgh site. Blue space density was not related to dementia risk in overall sample. Greater blue space density predicted a higher risk of dementia for the Pittsburgh site. Associations were attenuated after adjusting for neighborhood confounders.
Indexed as
DementiaNeighborhood CharacteristicsResidence CharacteristicsAgedAged, 80 and overFemaleHumansIncidenceMalePennsylvaniaRisk FactorsagingAlzheimer's diseasebuilt environment and healthgeographic information system (GIS)urban planning
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.
Blue spaces and incident dementia: Differences by geospatial and historical contexts. · full record | OpenQuestion