Evidence map›Paper›PMID 37685671›Full record

ArticleJournal of clinical medicine2023

Aerobic and Muscle-Strengthening Physical Activity, Television Viewing, and Nonalcoholic Fatty Liver Disease: The CARDIA Study.

Daniel J McDonough, Mahesh Mathew, Zachary C Pope, Pamela J Schreiner, David R Jacobs, Lisa B VanWagner, John Jeffrey Carr, James G Terry, Kelley Pettee Gabriel, Jared P Reis and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Review
  4. Article
  5. Article
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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

11 authors at 6 institutions in 1 country.

Daniel J McDonoughDivision of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.ORCID 0000-0002-5313-7284
Mahesh MathewDivision of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.
Zachary C PopeWell Living Lab, Rochester, NY 55902, USA.
Pamela J SchreinerDivision of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.ORCID 0000-0002-9920-6257
David R JacobsDivision of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.ORCID 0000-0002-7232-0543
Lisa B VanWagnerDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0002-6264-2573
John Jeffrey CarrVanderbilt University Medical Center, Vanderbilt University, Nashville, TN 37232, USA.
James G TerryVanderbilt University Medical Center, Vanderbilt University, Nashville, TN 37232, USA.ORCID 0000-0001-6659-3441
Kelley Pettee GabrielDepartment of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Jared P ReisNational Heart Lung and Blood Institute, Bethesda, MD 20892, USA.
Mark A PereiraDivision of Epidemiology & Community Health, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.
University of Minnesota · USVanderbilt University Medical Center · USNational Heart Lung and Blood Institute · USQuality Living · USThe University of Texas Southwestern Medical Center · USUniversity of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
Cardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PAMELA L. Lutsey, JAMES S PANKOW · 1994 to 2026
$9.3M
Longitudinal Changes in Pericardial Adiposity and Subclinical AtherosclerosisR01HL098445 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY · 2010 to 2013
$4.6M
NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS R01 HL098445NHLBI NIH HHS T32 HL007779NIDDK NIH HHS P30 DK056336
6 · The paper itself

Abstract

backgroundThe prevalence of non-alcoholic fatty liver disease (NAFLD) in U.S. adults is over 30%, yet the role of lifestyle factors in the etiology of NAFLD remains understudied. We examined the associations of physical activity, by intensity and type, and television viewing with prevalent NAFLD.

methodsCross-sectional analysis of a population-based sample of 2726 Black (49%) and White (51%) adults (Mean (SD) age, 50 (3.6) years; 57.3% female) from the CARDIA study. Exposures were aerobic activity by intensity (moderate, vigorous; hours/week); activity type (aerobic, muscle-strengthening; hours/week); and television viewing (hours/week), examined concurrently in all models and assessed by validated questionnaires. Our outcome was NAFLD (liver attenuation < 51 Hounsfield Units), measured by non-contrast computed tomography, after exclusions for other causes of liver fat. Covariates were sex, age, race, study center, education, diet quality, smoking status, alcohol consumption, and body mass index or waist circumference.

results648 participants had NAFLD. In the fully adjusted modified Poisson regression model, the risk ratios per interquartile range of each exposure were moderate-intensity aerobic activity, 1.10 (95% CI, 0.97-1.26); vigorous-intensity aerobic activity, 0.72 (0.63-0.82); muscle-strengthening activity, 0.89 (0.80-1.01); and television viewing, 1.20 (1.10-1.32). Relative to less active participants with higher levels of television viewing, those who participated in ≥2 h/week of both vigorous-intensity aerobic and muscle-strengthening activity and <7 h/week of television viewing had 65% lower risk of NAFLD (risk ratio = 0.35, 95% CI = 0.23-0.51).

conclusionAdults who follow public health recommendations for vigorous-aerobic and muscle-strengthening activity, as well as minimize television viewing, are considerably less likely to have NAFLD than those who do not follow the recommendations and who have relatively high levels of television viewing.

Indexed as

cohort studyepidemiologyMASLDNAFLDresistance exercisesedentary behavior

Identifiers

PMID37685671
PMCPMC10488389
OpenAlexW4386224064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.