Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% of its field
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.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
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
13 authors at 5 institutions in 1 country.
Shivani SahniHinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9827-0986
Alyssa B DufourHinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8061-9599
Na WangBiostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, Massachusetts, USA.
Douglas P KielHinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Marian T HannanHinda and Arthur Marcus Institute of Aging Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Paul F JacquesJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.
Emelia J BenjaminBoston Medical Center, Boston University Chobanian & Avedisian School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0003-4076-2336
Ramachandran S VasanBoston Medical Center, Boston University Chobanian & Avedisian School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA.
Joanne M MurabitoFramingham Heart Study, Framingham, Massachusetts, USA.
Anne B NewmanGraduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-0106-1150
Roger A FieldingJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.
Gary F MitchellCardiovascular Engineering, Inc., Norwood, Massachusetts, USA.
Naomi M HamburgBoston Medical Center, Boston University Chobanian & Avedisian School of Medicine and Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-5504-5589
Boston University · USBeth Israel Deaconess Medical Center · USTufts University · USNorwood Hospital · USUniversity of Pittsburgh · US
Funding
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SHALENDER BHASIN · 2008 to 2026
$23.9M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
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
CAPSITE: Community Assessment of Pain and Sensitization in the ElderlyR01AG066010 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., EDWARDS, ROBERT R · 2020 to 2025
$3.3M
Cardiac MR of Subclin CVD: Impact of AgeR01HL070279 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MANNING, WARREN J · 2001 to 2005
$3.2M
Ventricular-vascular coupling in the elderly: lifecourse determinants, trajectories, and prognostic significanceR01HL142983 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHENG, SUSAN, MITCHELL, GARY FRANK · 2019 to 2022
$3.2M
AFGen Consortium: Atrial Fibrillation Genomics to Functional AnalysesR01HL128914 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2015 to 2018
$3.1M
Vascular Stiffness as a Precursor of Hypertension in a Middle-aged CohortR01HL126136 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MITCHELL, GARY FRANK, RAMACHANDRAN, VASAN S · 2015 to 2018
backgroundDysfunction in blood vessel dynamics may contribute to changes in muscle measures. Therefore, we examined associations of vascular health measures with grip strength and gait speed in adults from the Framingham Heart Study.
methodsThe cross-sectional study (1998-2001) included participants with 1 measure of grip strength (kg, dynamometer) or gait speed (4-m walk, m/s) and at least 1 measure of aortic stiffness (carotid-femoral pulse wave velocity, brachial pulse pressure, and brachial flow pulsatility index) or brachial artery structure and function (resting flow velocity, resting brachial artery diameter, flow-mediated dilation %, hyperemic brachial blood flow velocity, and mean arterial pressure [MAP]) assessed by tonometry and brachial artery ultrasound. The longitudinal study included participants with ≥1 follow-up measurement of gait speed or grip strength. Multivariable linear regression estimated the association of 1 standard deviation (SD) higher level of each vascular measure with annualized percent change in grip strength and gait speed, adjusting for covariates.
resultsIn cross-sectional analyses (n = 2 498, age 61 ± 10 years; 56% women), higher resting brachial artery diameter (β ± standard error [SE] per 1 SD: 0.59 ± 0.24, p = .01) and MAP (β ± SE: 0.39 ± 0.17, p = .02) were associated with higher grip strength. Higher brachial pulse pressure (β ± SE: -0.02 ± 0.01, p = .07) was marginally associated with slower gait speed. In longitudinal analyses (n = 2 157), higher brachial pulse pressure (β ± SE: -0.19 ± 0.07, p = .005), was associated with slowing of gait speed but not with grip strength.
conclusionsHigher brachial artery pulse pressure (measure of aortic stiffness) was associated with loss of physical function over ~11 years, although we found no evidence that microvascular function contributed to the relation.
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.
Association of Vascular Health Measures and Physical Function: A Prospective Analysis in the Framingham Heart Study. · full record | OpenQuestion