Evidence map›Paper›PMID 23772804›Full record

Trial reportJournal of the American Geriatrics Society2013

Independent and combined effects of physical activity and weight loss on inflammatory biomarkers in overweight and obese older adults.

Kristen M Beavers, Walter T Ambrosius, Barbara J Nicklas, W Jack Rejeski

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Geriatrics Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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

41 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  4. A Meta-Analysis of the Effects of Different Exercise Modes on Inflammatory Response in the Elderly.International journal of environmental research and public health · 2022
    Pooled it
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  10. Effect of Intentional Weight Loss on Mortality Biomarkers in Older Adults With Obesity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Trial
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  17. Multidisciplinary Therapy to Target Obesity and Its Complications in Adult Population: A Narrative Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
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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

4 authors.

Kristen M BeaversSection on Gerontology and Geriatric Medicine, Department of Internal Medicine, J. Paul Sticht Center on Aging, Wake Forest University, Winston-Salem, North Carolina 27157, USA. kbeavers@wakehealth.edu
Walter T Ambrosius
Barbara J Nicklas
W Jack Rejeski

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
WORKER PROTECTION AGAINST AIRBORNE INFLUENZA - A PILOT STUDYM01RR007122 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 1992 to 2010
$35.2M
Cooperative Lifestyle Intervention Programs (CLIP-II)R18HL076441 · NHLBI · WAKE FOREST UNIVERSITY · PI MARSH, ANTHONY P, REJESKI, WALTER JOHN · 2012 to 2016
$3.1M
Cooperative Lifestyle Intervention ProgramR01HL076441 · NHLBI · WAKE FOREST UNIVERSITY · PI REJESKI, WALTER JOHN · 2005 to 2009
$2.9M
Role of metabolic syndrome and inflamamation on physical function in the elderlyF32AG039186 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BEAVERS, KRISTEN MARIE · 2010 to 2012
$87k
NCRR NIH HHS M01 RR007122NCRR NIH HHS M01-RR007122NHLBI NIH HHS HL076441-01A1NHLBI NIH HHS R01 HL076441NHLBI NIH HHS R18 HL076441NIA NIH HHS F32 AG039186NIA NIH HHS P30 AG021332
6 · The paper itself

Abstract

objectivesTo determine the independent effect of long-term physical activity (PA) and the combined effects of long-term PA and weight loss (WL) on inflammation in overweight and obese older adults.

designEighteen-month randomized, controlled trial.

settingThe community infrastructure of cooperative extension centers.

participantsOverweight and obese (body mass index >28.0 kg/m(2) ) community-dwelling men and women aged 60 to 79 at risk for cardiovascular disease (CVD).

interventionPhysical activity + weight loss (PA + WL) (n = 98), PA only (n = 97), or successful aging (SA) health education (n = 93) intervention. MEASUREMENTS: Biomarkers of inflammation (adiponectin, leptin, high-sensitivity interleukin (hsIL)-6, IL-6sR, IL-8, and soluble tumor necrosis factor receptor 1) were measured at baseline and 6 and 18 months.

resultsAfter adjustment for baseline biomarker, wave, sex, and visit, leptin and hsIL-6 showed a significant intervention effect. Specifically, leptin was significantly lower in the PA + WL group (21.3 ng/mL, 95% confidence interval (CI) = 19.7-22.9 ng/mL) than in the PA (29.3 ng/mL, 95% CI = 26.9-31.8 ng/mL) or SA (30.3 ng/mL, 95% CI = 27.9-32.8 ng/mL) group (both P < .001), and hsIL-6 was significantly lower in the PA + WL group (2.1 pg/mL, 95% CI = 1.9-2.3 pg/mL) than in the PA (2.5 pg/mL, 95% CI = 2.3-2.7 pg/mL) or SA (2.4 pg/mL, 95% CI = 2.2-2.6 pg/mL) group (P = .02).

conclusionAddition of dietary-induced WL to PA reduced leptin and hsIL-6 more than PA alone and more than a SA intervention in older adults at risk for CVD. Results suggest that WL, rather than increased PA, is the lifestyle factor primarily responsible for improvement in the inflammatory profile.

Indexed as

ExerciseWeight LossAdiponectinAgedAnalysis of VarianceBiomarkersCommunity Health CentersDiet, ReducingFemaleHumansInflammationInterleukin-6Interleukin-8LeptinMaleMiddle AgedAdiponectinBiomarkersInterleukin-6Interleukin-8LeptinReceptors, Tumor Necrosis Factor, Type Iaginginflammationphysical activityweight loss

Identifiers

PMID23772804
PMCPMC3714323

What OpenQuestion holds

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Registered trials

None linked

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.