Evidence map›Paper›PMID 27525252›Full record

ArticleJournal of diabetes and metabolic disorders2015

Relation of insulin resistance with social-demographics, adiposity and behavioral factors in non-diabetic adult Canadians.

Sai Yi Pan, Margaret de Groh, Alfred Aziz, Howard Morrison

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

Article in Journal of diabetes and metabolic disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. [Triglyceride-glucose index changes after one year of antiretroviral therapy].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Article
  2. Article
  3. Article
  4. Altered Visceral Adipose Tissue Predictors and Women's Health: A Unicenter Study.International journal of environmental research and public health · 2022
    Article
  5. Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  6. Quantifying the Homeostatic Model Assessment of Insulin Resistance to Predict Mortality in Multi-organ Dysfunction Syndrome.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  7. Article
  8. 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

4 authors at 2 institutions in 1 country.

Sai Yi PanScience Integration and Social Determinant Directorate, Public Health Agency of Canada, 785 Carling Avenue, AL 6809B, Ottawa, ON K1A 0K9 Canada.ORCID 0000-0001-5465-3339
Margaret de GrohScience Integration and Social Determinant Directorate, Public Health Agency of Canada, 785 Carling Avenue, AL 6809B, Ottawa, ON K1A 0K9 Canada.
Alfred AzizFood Directorate, Health Products and Food Branch, Health Canada, Ottawa, ON Canada.
Howard MorrisonScience Integration and Social Determinant Directorate, Public Health Agency of Canada, 785 Carling Avenue, AL 6809B, Ottawa, ON K1A 0K9 Canada.
Public Health Agency of Canada · CAHealth Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInsulin resistance is a pathogenic factor for type II diabetes and has been associated with metabolic abnormalities and adverse clinical outcomes. The purpose of this study was to examine the relationship between insulin resistance and socio-demographics, adiposity and behavioral factors in the general, non-diabetic adult Canadian population.

methodsData for 3515 non-diabetic adults aged 18 to 79 years from the Canadian Health Measures Survey (cycles 1 and 2, 2007-2011) were analyzed. Insulin resistance index was measured by the homeostasis model assessment of insulin resistance (HOMA-IR), and insulin resistance (IR) was defined as individuals in the highest quartile of the HOMA-IR index. Logistic regression models were used to examine the effect of demographics, lifestyle factors and adiposity measurements on HOMA-IR.

resultsThe risk of IR increased with age, particularly in men. Individuals had adjusted odds ratio (OR) (with corresponding 95 % confidence interval) of 5.97 (2.90-8.52) and 25.12 (15.20-41.51) associated with a body-mass-index (BMI) between 25.0 and < 30.0, or ≥30.0, of 9.23 (6.52-13.07) with abdominal obesity (waist circumstance ≥102 cm for men and ≥ 88 cm for women), of 8.72 (6.13-12.39) with a high waist-to-height ratio (>0.57), and of 6.30 (4.33-9.16) with a high waist-to-hip ratio (>0.90 for men and >0.85 for women). Physically inactive people and non-alcohol consumer also had a significantly higher odd of IR.

conclusionsThis study found that men and older, obese and physically inactive people were at increased risk for IR. Adiposity indices including BMI, waist circumstance, waist-to-height ratio and waist-to-hip ratio were highly associated with IR with similar magnitude of association.

Indexed as

BMIHOMA-IR indexInsulin resistanceWaist circumferenceWaist-to-height ratioWaist-to-hip ratio

Identifiers

PMID27525252
PMCPMC4982003
OpenAlexW2507407054

What OpenQuestion holds

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LicenceCC BY
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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.