Evidence map›Paper›PMID 33833267›Full record

ArticleScientific reports2021

Adverse body measurements are superior to sarcopenia-associated measurements in predicting chronic diseases.

Pei-Ju Liao, Yu-Ching Lin, Ming-Kuo Ting, I-W En Wu, Shuo-Wei Chen, Ning-I Yang, Kuang-Hung Hsu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 1 country.

Pei-Ju LiaoMaster Degree Program in Healthcare Industry, Chang Gung University, Taoyuan, Taiwan.
Yu-Ching LinDivision of Medical Imaging, Chang Gung Memorial Hospital, Keelung and Chang Gung University, Taoyuan, Taiwan.
Ming-Kuo TingDivision of Endocrinology and Metabolism, Chang Gung Memorial Hospital, Keelung, Taiwan.
I-W En WuDivision of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Shuo-Wei ChenDivision of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Ning-I YangDivision of Cardiology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Kuang-Hung HsuHealthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan. khsu@mail.cgu.edu.tw.
Keelung Chang Gung Memorial Hospital · TWChang Gung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have demonstrated an association of sarcopenia-associated body measurements with chronic diseases through a comprehensive methodology. This study aims to examine the relationship between sarcopenia-associated body measurements and chronic diseases. This is a cohort study. We recruited 316 community dwellers, including 76 patients with sarcopenia and 240 controls, and obtained their body measurements associated with sarcopenia. We collected three-dimensional anthropometric body-surface measurements from 11,158 participants during 2000-2008 and followed up this cohort for 15 years to examine the association of these measurements with the risk of chronic diseases such as hypertension, type 2 diabetes mellitus (T2DM), heart disease, and nephrotic syndrome. Univariate analysis, canonical correlation, and Cox regression analysis were performed to explore the associations. Decreased waist width, upper left arm circumference, and left thigh circumference were significantly associated with sarcopenia. The adverse body measure score (ABMS) was derived by combining significant measurements, namely left upper arm circumference, waist width, and left thigh circumference, and used to predict the risk of hypertension, T2DM, heart diseases, and nephrotic syndrome. A positive association was observed between the ABMS and chronic diseases. Considering the first quartile of the ABMS as a reference, we determined hazard ratios of 2.259, 2.495, 1.332, and 1.595 for hypertension, T2DM, heart disease, and nephrotic syndrome, respectively, in the fourth quartile. Chronic diseases were more strongly associated with the ABMS than with sarcopenia-related body measurements alone. A high ABMS, which includes higher upper arm circumference, higher waist width, and lower thigh circumference, can significantly predict chronic diseases.

Indexed as

AnthropometryChronic DiseaseCohort StudiesFemaleHumansMaleMiddle AgedSarcopenia

Identifiers

PMID33833267
PMCPMC8032743
OpenAlexW3149563828

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.