9 research outputs found

    Geometric means of carotid-to-femoral pulse wave velocity (cfPWV, in m/s) by the presence of prediabetes status defined by IFG, IGT, and high HbA1c (5.7–6.4%).

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    <p>The analyses were adjusted for age, sex, BMI, MAP, heart rate and lipids (total cholesterol, triglyceride, HDL-C and LDL-C). Symbol ‘*’ represents significant difference (p<0.05) between the ‘absence’ and ‘presence’ groups of each marker.</p

    Stratified associations between HbA1c and cfPWV (m/s) by sex, age and BMI.

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    <p>Analyses were adjusted for age, sex, BMI, total cholesterol, triglyceride, HDL-C, LDL-C, blood pressure, and heart rate but not the strata variable. cfPWV is presented as mean (standard error).</p

    Associations of fasting glucose, 2h OGTT, and HbA1c with cfPWV (m/s).

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    *<p>: Other covariates include heart rate, total cholesterol, triglyceride, HDL-C, and LDL-C.</p><p>cfPWV is presented as mean (standard error).</p

    Geometric means of cfPWV (in m/s) by the combinations of high HbA1c (5.7–6.4%) with IFG and IGT.

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    <p>Symbol ‘+’ represents the presence of the corresponding glucose exposures. The analyses were adjusted for age, sex, BMI, MAP, heart rate and lipids (total cholesterol, triglyceride, HDL-C and LDL-C). ‘*’ represents significant difference (p<0.05) comparing individuals with high HbA1c and IFG/IGT with the normal subjects (without any of these abnormalities); ‘**’ represents significant difference (p<0.05) comparing individuals with high HbA1c and IFG/IGT with those who had only high HbA1c; and ‘***’ represents significant difference (p<0.05) comparing individuals with high HbA1c and IFG/IGT with those who had only IFG or IGT.</p

    Clinical characteristics of the participants by HbA1c levels.

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    <p>Abbreviations: HDL-C, high density lipoprotein cholesterol; LDL-C, low density lipoprotein cholesterol;</p><p>OGTT, oral glucose tolerance test; bpm, beats per minute.</p><p>Data are mean ± standard deviations for the continuous variables and percentage for the categorical variables.</p><p>Linear regression model was used to test trend for continuous variables; χ<sup>2</sup> test was used for the categorical variables.</p
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