ArticleJournal of diabetes research2018
Relationships of Insulin Action to Age, Gender, Body Mass Index, and Waist Circumference Present Diversely in Different Glycemic Statuses among Chinese Population.
Article in Journal of diabetes research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- Investigating family history of diabetes as a predictor of fasting insulin and fasting glucose activity in a sample of healthy weight adults.Acta diabetologica · 2023Article
- The Prevalence of Hyperuricemia and Its Correlates among Adults in China: Results from CNHS 2015-2017.Nutrients · 2022Article
- Identification of genetic variants for blood insulin level in sex-stratified Korean population and evaluation of the causal relationship between blood insulin level and polycystic ovary syndrome.Genes & genomics · 2021Article
- Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults.The Lancet regional health. Western Pacific · 2020Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTo study the influence of different glycemic statuses on the relationship of insulin action to age, gender, body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) among Chinese population.
methodsA total of 35,327 participants (17,456 males and 17,871 females) were included in this nationally representative cross-sectional study. Glycemic status was defined according to the 2010 American Diabetes Association criteria. Fasting insulin was measured by the chemiluminescence method.
resultsInsulin and HOMA-IR levels were the highest in newly diagnosed diabetes and were lowest in normal fasting glucose (NFG) (
conclusionsDifferent glycemic statuses significantly affect the relationships of insulin action to age, gender, BMI, WC, and WHtR among Chinese population.
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