Evidence map›Paper›PMID 18984778›Full record

ArticleDiabetes care2009

Associations of cardiorespiratory fitness and obesity with risks of impaired fasting glucose and type 2 diabetes in men.

Duck-Chul Lee, Xuemei Sui, Timothy S Church, I-Min Lee, Steven N Blair

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 170 citations in OpenAlex.

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  12. Nonexercise machine learning models for maximal oxygen uptake prediction in national population surveys.Journal of the American Medical Informatics Association : JAMIA · 2023
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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

5 authors at 3 institutions in 1 country.

Duck-Chul LeeDepartment of Exercise Science, University of South Carolina, Columbia, South Carolina, USA. lee23@gwm.sc.edu
Xuemei Sui
Timothy S Church
I-Min Lee
Steven N Blair
University of South Carolina · USBrigham and Women's Hospital · USPennington Biomedical Research Center · US

Funding

Impact of Physical Fitness and Exercise on HealthR37AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 2002 to 2005
$2.7M
CORONARY ARTERY CALCIUM, EXERCISE TESTS, AND CHD OUTCOMER01HL062508 · NHLBI · COOPER INSTITUTE · PI LAMONTE, MICHAEL J · 1999 to 2004
$2.5M
IMPACT OF PHYSICAL FITNESS &EXERCISE ON HEALTHR01AG006945 · NIA · COOPER INSTITUTE · PI BLAIR, STEVEN N. · 1986 to 2001
$1.1M
NHLBI NIH HHS HL62508NHLBI NIH HHS R01 HL062508NIA NIH HHS AG06945NIA NIH HHS R01 AG006945NIA NIH HHS R37 AG006945
6 · The paper itself

Abstract

objectiveThe purpose of this study was to examine the associations of cardiorespiratory fitness (hereafter fitness) and various obesity measures with risks of incident impaired fasting glucose (IFG) and type 2 diabetes. RESEARCH DESIGN AND

methodsThis was a prospective cohort study of 14,006 men (7,795 for the analyses of IFG), who did not have an abnormal electrocardiogram or a history of heart attack, stroke, cancer, or diabetes.

resultsOf the men, 3,612 (39,610 person-years) and 477 (101,419 person-years) developed IFG and type 2 diabetes, respectively. Compared with the least fit 20% in multivariate analyses, IFG and type 2 diabetes risks in the most fit 20% were 14 and 52% lower, respectively (both P < 0.001). Men with BMI > or =30.0 kg/m2, waist girth >102.0 cm, or percent body fat > or =25 had 2.7-, 1.9-, and 1.3-fold higher risks for type 2 diabetes, respectively, compared with those for nonobese men (all P < 0.01), and the results for IFG were similar. In the combined analyses, obese unfit (least fit 20%) men had a 5.7-fold higher risk for type 2 diabetes compared with normal-weight fit (most fit 80%) men. We observed similar trends for the joint associations of BMI and fitness with IFG and those of waist girth or percent body fat and fitness with both IFG and type 2 diabetes.

conclusionsLow fitness and obesity increased the risks of IFG and type 2 diabetes by approximately similar magnitudes. When considered simultaneously, fitness attenuated but did not eliminate the increased risks of IFG and type 2 diabetes associated with obesity, and the highest risk was found in obese and unfit men.

Indexed as

Physical FitnessAdultAgedBody Mass IndexCohort StudiesDiabetes Mellitus, Type 2ElectrocardiographyExercise TestGlucose IntoleranceHeartHumansIncidenceMaleMiddle AgedMultivariate AnalysisObesity

Identifiers

PMID18984778
PMCPMC2628690
OpenAlexW2127370247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.