In one paragraphArticle in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
10 authors.
Marcia Pescador JimenezDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0001-5240-7898 Liliana Paloma Rojas-SauneroDepartment of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-0875-5737 Cameron J ReimerDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, United States.
Esra SuelDepartment of Geography, University of Zurich, Zurich, Switzerland.
Pi-I Debby LinDivision of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
Perry HystadSchool of Nutrition and Public Health, College of Health, Oregon State University, Corvallis, OR, United States.
Francine GrodsteinRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States.
Ana V Diez-RouxUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States.ORCID 0000-0001-9658-7050 Brent CoullDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-1808-4156 Peter JamesDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States.ORCID 0000-0002-2858-1973 Funding
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1MTranslational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6MWake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3MClinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2MTask Area A Core Study Operations.Task Area A shall encompass annual follow-up of cohort members, clinical endpoints ascertainment, study coordination activities, maintenance of the database and biosp75N92020D00001 · NHLBI · UNIVERSITY OF WASHINGTON · PI MCCLELLAND, ROBYN LEAGH · 2020 to 2025
$17.2MLongitudinal Neighborhood Determinants of ADRD Progression within a Multi-Site CohortR01AG072634 · NIA · DREXEL UNIVERSITY · PI Jana Ariel Hirsch · 2021 to 2026
$6.1MEnvironmental Exposures and Brain HealthRF1AG085457 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JAMES, PETER · 2025 to 2025
$5.2MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00005 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WATSON, KAROL E · 2020 to 2025
$5.1MNeighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA · 2003 to 2013
$4.8MTO EXERCISE OPTION PERIOD ONE (1) FOR TASK AREA A - MESA CORE OPERATIONS, FIELD CENTER.75N92020D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI SIEGEL, JONATHAN H · 2020 to 2025
$4.5MTask Area A shall encompass annual follow-up of cohort members, clinical events investigations, study operations, and data analysis and manuscript writing. If implemented, Task A.1 will provide fundin75N92020D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI PANKOW, JAMES S · 2020 to 2025
$4.4MBuilt Environment Assessment through Computer visiON (BEACON): Applying Deep Learning to Street-Level and Satellite Images to Estimate Built Environment Effects on Cardiovascular HealthR01HL150119 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JAMES, PETER · 2020 to 2024
$3.9MNational Center for Advancing Translational Sciences (NCATS) 75N92020D00001National Center for Advancing Translational Sciences (NCATS) 75N92020D00002National Center for Advancing Translational Sciences (NCATS) 75N92020D00003National Center for Advancing Translational Sciences (NCATS) 75N92020D00004National Center for Advancing Translational Sciences (NCATS) 75N92020D00005National Center for Advancing Translational Sciences (NCATS) 75N92020D00006National Center for Advancing Translational Sciences (NCATS) 75N92020D00007National Center for Advancing Translational Sciences (NCATS) HHSN268201500003INational Center for Advancing Translational Sciences (NCATS) N01-HC-95159National Center for Advancing Translational Sciences (NCATS) N01-HC-95160National Center for Advancing Translational Sciences (NCATS) N01-HC-95161National Center for Advancing Translational Sciences (NCATS) N01-HC-95162National Center for Advancing Translational Sciences (NCATS) N01-HC-95163National Center for Advancing Translational Sciences (NCATS) N01-HC-95164National Center for Advancing Translational Sciences (NCATS) N01-HC-95165National Center for Advancing Translational Sciences (NCATS) N01-HC-95166National Center for Advancing Translational Sciences (NCATS) N01-HC-95167National Center for Advancing Translational Sciences (NCATS) N01-HC-95168National Center for Advancing Translational Sciences (NCATS) N01-HC-95169National Center for Advancing Translational Sciences (NCATS) R01HL071759National Center for Advancing Translational Sciences (NCATS) UL1-TR-000040National Center for Advancing Translational Sciences (NCATS) UL1-TR-001079National Center for Advancing Translational Sciences (NCATS) UL1-TR-001420NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS 75N92020D00001NHLBI NIH HHS 75N92020D00002NHLBI NIH HHS 75N92020D00003NHLBI NIH HHS 75N92020D00004NHLBI NIH HHS 75N92020D00005NHLBI NIH HHS 75N92020D00006NHLBI NIH HHS 75N92020D00007NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K99AG066949NHLBI NIH HHS K99AG093067NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS P30 ES000002NHLBI NIH HHS R00AG066949NHLBI NIH HHS R01AG087199NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01 HL150119NHLBI NIH HHS R01HL150119NHLBI NIH HHS R01NS139186NHLBI NIH HHS RF1AG085457NIA NIH HHS K99 AG066949NIA NIH HHS K99 AG093067NIA NIH HHS R00 AG066949NIA NIH HHS R01 AG072634NIA NIH HHS R01AG072634NIA NIH HHS R01 AG087199NIA NIH HHS RF1 AG085457NIA NIH HHS UL1-TR-000040NIA NIH HHS UL1-TR-001079NIA NIH HHS UL1-TR-001420NIEHS NIH HHS P30 ES000002NINDS NIH HHS R01 NS139186
6 · The paper itselfAbstract
Greenspace has been associated with lower dementia risk, but most studies have used satellite-derived measures that cannot distinguish vegetation types. We used streetview (SV)-based metrics of greenspace from an on-the-ground perspective to examine greenspace types that may be relevant for dementia risk. We followed 6761 participants from the Multi-Ethnic Study of Atherosclerosis, 2000-2018. Using deep learning algorithms applied to SV images, we measured %trees, %grass, %other green (plants/flowers/fields) in the 500 m area around participants' residences. We examined the controlled direct effect of greenspace with dementia accounting for death as a censoring event, using a weighted Kaplan-Meier survival estimator, with the product of exposure weights and inverse-probability-of-censoring by death. We ran models separately per greenspace type. Mean baseline age was 62 years (SD, 10). Participants exposed to lowest levels of %trees were more likely to have a household income < $24 999. We observed 585 (8.7%) dementia cases and 1437 (21.3%) deaths over follow-up. We observed a direct effect of high exposure to %grass on 19-year dementia risk had death been prevented of -4.57 (95% CI, -8.15, -0.40) percentage points. No associations were observed for %trees (-0.07; 95% CI, -2.29 to 2.11) and %other green (-0.03, 95% CI, -1.59 to 1.48). Higher percentage of grass may reduce dementia risk.
Indexed as
DementiaNeighborhood CharacteristicsParks, RecreationalResidence CharacteristicsAgedAtherosclerosisFemaleHumansMaleMiddle AgedRisk FactorsUnited Statescompeting risksdementiaenvironmental epidemiologygreenspacenatural environment
Identifiers
PMID42267521
PMCPMC13537847
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