In one paragraphReview 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
9 authors.
Anna M Kucharska-NewtonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0001-9864-467X Ganga S BeyDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-9659-7096 Pamela L LutseyCardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, United States.ORCID 0000-0002-1572-1340 Jeremy R Van't HofCardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, United States.ORCID 0000-0002-9982-3685 Anna PrizmentCardiovascular Division, University of Minnesota Medical School, Minneapolis, MN, United States.ORCID 0000-0001-5924-6871 Priya PaltaDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0009-0006-7153-5100 Eric A WhitselDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-4843-3641 Funding
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7MUNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7MARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9MARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5MARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4MARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7MResearch and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612kNHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS K24 HL152440NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIEHS NIH HHS P30 ES010126NIH (NHLBI, NINDS, NIA and NIDCD) U01HL096812NIH (NHLBI, NINDS, NIA and NIDCD) U01HL096814NIH (NHLBI, NINDS, NIA and NIDCD) U01HL096899NIH (NHLBI, NINDS, NIA and NIDCD) U01HL096902NIH (NHLBI, NINDS, NIA and NIDCD) U01HL096917
6 · The paper itselfAbstract
This review article provides a summary of findings on the social determinants of chronic disease prevalence, incidence, and mortality from the Atherosclerosis Risk in Communities (ARIC) Study, a community surveillance of coronary heart disease conducted in 4 geographically distinct US communities from 1987 through 2014 and an ongoing longitudinal cohort of 15 792 men and women recruited from those communities. The ARIC Community Surveillance Study documented the contribution of poor neighborhood socioeconomic status to trends in heart disease and to disparities in associated medical care. Data from members of the ARIC Study cohort provide evidence on the importance of neighborhood- and individual-level social determinants to the prevalence of cardiovascular risk factors and to the burden of cardiovascular disease and mortality, dementia, and kidney disease. Findings from the unique ARIC Lifecourse Socioeconomic Study conducted within the ARIC cohort underscore the importance of socioeconomic exposures across the lifecourse to the prevention of chronic disease. The rich ARIC data on neighborhood deprivation, environmental exposures, physical and built environments, and racial and economic segregation provide a foundation for innovative methodological approaches that integrate demographic, socioeconomic, behavioral, and clinical risk factors-enabling researchers to identify optimal targets for effective chronic disease prevention.
Indexed as
AtherosclerosisSocial Determinants of HealthChronic DiseaseFemaleHumansIncidenceMaleNeighborhood CharacteristicsPrevalenceResidence CharacteristicsRisk FactorsSocioeconomic Disparities in HealthSocioeconomic FactorsUnited Stateschronic diseasescohort studyeducationincomeneighborhoodsocial determinants
Identifiers
PMID41766683
PMCPMC13188943
What OpenQuestion holds
Textmetadata
LicenceTDM
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