Evidence map›Paper›PMID 28953643›Full record

ArticleMedicine2017

Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese.

Yiu-Hua Cheng, Yu-Chung Tsao, I-Shiang Tzeng, Hai-Hua Chuang, Wen-Cheng Li, Tao-Hsin Tung, Jau-Yuan Chen

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Comparison of Body Mass Index and Waist Circumference in the Prediction of Diabetes: A Retrospective Longitudinal Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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 5 institutions in 3 countries.

Yiu-Hua ChengDepartment of Family Medicine Department of Occupational Medicine, Chang-Gung Memorial Hospital, Linkou Branch College of Medicine, Chang Gung University, Taoyuan Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei city Department of Family Medicine, Chang-Gung Memorial Hospital, Taipei Branch Department of Emergency Medicine, Chang-Gung Memorial Hospital, Linkou Branch, Taiwan Department of Health Management, Xiamen Chang-Gung Hospital, Xiamen, China Department of Medical Research and Education, Cheng-Hsin General Hospital Faculty of Public Health, School of Medicine, Fu-Jen Catholic University, Taipei, Taiwan.
Yu-Chung Tsao
I-Shiang Tzeng
Hai-Hua Chuang
Wen-Cheng Li
Tao-Hsin Tung
Jau-Yuan Chen
Chang Gung Memorial Hospital · TWChang Gung University · TWFu Jen Catholic University · TWTaipei Tzu Chi Hospital · TWXiamen Chang Gung Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of diabetes mellitus is rising worldwide, and prediabetic screening for insulin resistance (IR) has become ever more essential. This study aimed to investigate whether body mass index (BMI), waist circumference (WC), or body fat percentage (BF%) could be a better predictor of IR in a middle-aged and elderly population. In this cross-sectional, community-based study, 394 individuals (97 with IR and 297 without IR) were enrolled in the analysis. IR was measured by homeostasis model assessment (HOMA-IR), and subjects with HOMA-IR value ≧75th percentile were defined as being IR. Associations between IR and BMI, WC and BF% were evaluated by t test, chi square, Pearson correlation, logistic regression, and receiver operating characteristic (ROC) curves. A total of 394 community-dwelling, middle-aged, and elderly persons were enrolled; 138 (35%) were male, and 256 were female (65%). The mean age was 64.41 ± 8.46 years. A significant association was identified between BMI, WC, BF%, and IR, with Pearson correlation coefficients of 0.437 (P < .001), 0.412 (P < .001), and 0.361 (P < .001), respectively. Multivariate logistic regression revealed BMI (OR = 1.31; 95% CI = 1.20-1.42), WC (OR = 1.13; 95% CI = 1.08-1.17), and BF% (OR = 1.17; 95% CI = 1.11-1.23) to be independent predictors of IR. The area under curves of BMI and WC, 0.749 and 0.745 respectively, are greater than that of BF% 0.687. BMI and WC were more strongly associated with IR than was BF%. Excess body weight and body fat distribution were more important than total body fat in predicting IR.

Indexed as

Adipose TissueBody Mass IndexInsulin ResistanceWaist CircumferenceAgedAged, 80 and overAnthropometryBody WeightChi-Square DistributionCross-Sectional StudiesFemaleHumansIndependent LivingLogistic ModelsMaleMass Screening

Identifiers

PMID28953643
PMCPMC5626286
OpenAlexW2757122379

What OpenQuestion holds

Textmetadata
LicenceCC BY-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.