Evidence map›Paper›PMID 34732526›Full record

ArticleDiabetes care2022

Body Fat Distribution, Cardiometabolic Traits, and Risk of Major Lower-Extremity Arterial Disease in Postmenopausal Women.

Guo-Chong Chen, Rhonda Arthur, Victor Kamensky, Jin Choul Chai, Bing Yu, Aladdin H Shadyab, Matthew Allison, Yangbo Sun, Nazmus Saquib, Robert A Wild and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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

16 authors at 7 institutions in 3 countries.

Guo-Chong Chen1Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China.ORCID 0000-0003-1853-6244
Rhonda Arthur2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Victor Kamensky2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Jin Choul Chai2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Bing Yu3Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX.
Aladdin H Shadyab4Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA.
Matthew Allison4Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA.
Yangbo Sun5Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA.
Nazmus Saquib7College of Medicine, Sulaiman Al Rajhi University, Al Bukayriah, Saudi Arabia.
Robert A Wild8Clinical Epidemiology and Obstetrics and Gynecology, Oklahoma University Health Sciences Center, Oklahoma City, OK.
Wei Bao5Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA.ORCID 0000-0002-7301-5786
Andrew J Dannenberg9Weill Cornell Medical College, New York, NY.
Thomas E Rohan2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Robert C Kaplan2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0003-1571-4615
Sylvia Wassertheil-Smoller2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.
Qibin Qi2Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0002-2687-1758
Albert Einstein College of Medicine · USUniversity of California San Diego · USUniversity of Iowa · USCornell University · USOU HealthSulaiman Al Rajhi Colleges · SAThe University of Texas Health Science Center at Houston · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI DONALD K. SCOTT · 2015 to 2026
$27.7M
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
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Integrated analysis of CVD risk in HIV: gut microbiota, immune function and metabolitesR01HL140976 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KAPLAN, ROBERT C, KNIGHT, ROB · 2018 to 2021
$3.3M
Metabolomics signatures underlying diet, lifestyle and gut microbiota for diabetesR01DK119268 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI QI, QIBIN · 2019 to 2022
$2.4M
HIV Infection, Metabolites and Subclinical AtherosclerosisK01HL129892 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI QI, QIBIN · 2015 to 2018
$637k
NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNHLBI NIH HHS K01 HL129892NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL140976NHLBI NIH HHS R01 HL146132NIDDK NIH HHS P30 DK020541NIDDK NIH HHS R01 DK119268NIDDK NIH HHS R01 DK120870
6 · The paper itself

Abstract

objectiveTo assess the relationship between body fat distribution and incident lower-extremity arterial disease (LEAD). RESEARCH DESIGN AND

methodsWe included 155,925 postmenopausal women with anthropometric measures from the Women's Health Initiative who had no known LEAD at recruitment. A subset of 10,894 participants had body composition data quantified by DXA. Incident cases of symptomatic LEAD were ascertained and adjudicated through medical record review.

resultsWe identified 1,152 incident cases of LEAD during a median 18.8 years follow-up. After multivariable adjustment and mutual adjustment, waist and hip circumferences were positively and inversely associated with risk of LEAD, respectively (both P-trend < 0.0001). In a subset (n = 22,561) where various cardiometabolic biomarkers were quantified, a similar positive association of waist circumference with risk of LEAD was eliminated after adjustment for diabetes and HOMA of insulin resistance (P-trend = 0.89), whereas hip circumference remained inversely associated with the risk after adjustment for major cardiometabolic traits (P-trend = 0.0031). In the DXA subset, higher trunk fat (P-trend = 0.0081) and higher leg fat (P-trend < 0.0001) were associated with higher and lower risk of LEAD, respectively. Further adjustment for diabetes, dyslipidemia, and blood pressure diminished the association for trunk fat (P-trend = 0.49), yet the inverse association for leg fat persisted (P-trend = 0.0082).

conclusionsAmong U.S. postmenopausal women, a positive association of upper-body fat with risk of LEAD appeared to be attributable to traditional risk factors, especially insulin resistance. Lower-body fat was inversely associated with risk of LEAD beyond known risk factors.

Indexed as

Cardiovascular DiseasesPostmenopauseBody Fat DistributionBody Mass IndexExtremitiesFemaleHumansRisk Factors

Identifiers

PMID34732526
PMCPMC8753769
OpenAlexW3208994705

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.