Evidence map›Paper›PMID 37596830›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

The Association Between Ankle-Brachial Index and Daily Patterns of Physical Activity: Results From the Hispanic Community Health Study/Study of Latinos.

Venus Chiu, Jacek K Urbanek, Amal A Wanigatunga, Matthew A Allison, Shoshana H Ballew, Yasmin Mossavar-Rahmani, Daniela Sotres-Alvarez, Linda C Gallo, Xiaonan Xue, Gregory A Talavera and 4 more

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In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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

14 authors at 5 institutions in 1 country.

Venus ChiuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jacek K UrbanekDivision of Geriatric Medicine and Gerontology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Amal A WanigatungaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-5763-5184
Matthew A AllisonDivision of Preventive Medicine, Department of Family Medicine and Public Health, University of California San Diego, San Diego, California, USA.ORCID 0000-0003-0777-8272
Shoshana H BallewDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Yasmin Mossavar-RahmaniDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
Daniela Sotres-AlvarezDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.ORCID 0000-0002-3226-6140
Linda C GalloDepartment of Psychology, San Diego State University, San Diego, California, USA.
Xiaonan XueDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
Gregory A TalaveraDepartment of Psychology, San Diego State University, San Diego, California, USA.
Kelly R EvensonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Robert C KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.ORCID 0000-0003-3271-801X
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-7179-718X
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-9244-9267
Johns Hopkins University · USAlbert Einstein College of Medicine · USSan Diego State University · USUniversity of North Carolina at Chapel Hill · USUniversity of California San Diego · US

Funding

PASOS: Peripheral Artery Disease Study of SOL. An ancillary study of the Hispanic Community Health Study/Study of LatinosR01HL146132 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KAPLAN, ROBERT C, MATSUSHITA, KUNIHIRO · 2019 to 2022
$8.4M
GENETIC ARCHITECTURE OF PLASMA T-PA AND PAI-1R01HL065234 · NHLBI · VANDERBILT UNIVERSITY · PI MOORE, JASON H. · 2000 to 2004
$1.7M
HISPANIC COMMUNITY HEALTH STUDY-268065233N01HC065233 · HC · COORDINATING CENTER · PI CHAMBLESS, LLOYD E · 2006 to 2006
–
NHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS R01 HL146132NIDCD NIH HHSNIDCR NIH HHSNIDDK NIH HHSNIMHD NIH HHSNINDS NIH HHS
6 · The paper itself

Abstract

backgroundPeripheral artery disease (PAD) is associated with lower physical activity but less is known about its association with daily patterns of activity. We examined the cross-sectional association between ankle-brachial index (ABI) and objectively measured patterns of physical activity among Hispanic/Latino adults.

methodsWe analyzed data from 7 688 participants (aged 45-74 years) in the Hispanic Community Health Study/Study of Latinos. ABI was categorized as low (≤0.90, indicating PAD), borderline low (0.91-0.99), normal (1.00-1.40), and high (>1.40, indicating incompressible ankle arteries). Daily physical activity metrics derived from accelerometer data included: log of total activity counts (LTAC), total log-transformed activity counts (TLAC), and active-to-sedentary transition probability (ASTP). Average differences between ABI categories in physical activity, overall and by 4-hour time-of-day intervals, were assessed using linear regression and mixed-effects models, respectively.

resultsIn Hispanic/Latino adults, 5.3% and 2.6% had low and high ABIs, respectively. After adjustment, having a low compared to a normal ABI was associated with lower volume (LTAC = -0.13, p < .01; TLAC = -74.4, p = .04) and more fragmented physical activity (ASTP = 1.22%, p < .01). Having a low ABI was linked with more fragmented physical activity after 12 pm (p < .01). Having a high ABI was associated with lower volumes of activity (TLAC = -132.0, p = .03).

conclusionsHaving a low or high ABI is associated with lower and more fragmented physical activity in Hispanic/Latino adults. In adults with low ABI, physical activity is more fragmented in the afternoon to evening. Longitudinal research is warranted to expand these findings to guide targeted interventions for PAD or incompressible ankle arteries.

Indexed as

Ankle Brachial IndexPeripheral Arterial DiseaseCross-Sectional StudiesExerciseHispanic or LatinoHumansPublic HealthRisk FactorsAnkle–brachial indexHispanicsLatinosPeripheral artery diseasePhysical activity

Identifiers

PMID37596830
PMCPMC10809041
OpenAlexW4385997141

What OpenQuestion holds

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Registered trials

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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.