Continuous variables were presented as mean ± standard deviation if normal distribution, otherwise were presented as median and interquartile range. Categorical variables were presented as number and proportion. Differences in clinical characteristics, laboratory measurements, BP value, and indices of LV structure and function were tested between (i) general obesity vs. non‐general obesity and (ii) abdominal obesity vs. non‐abdominal obesity using Student's t‐test or Mann–Whitney U test for continuous variables and χ 2 test or Fisher's exact test for categorical variables. To evaluate the trend in LV structural and functional alterations with increasing BMI and WC, participants were separated into four groups according to the sex‐specific quartiles of BMI and WC, respectively, and a P‐value for trend was reported. The correlation between BMI and WC with metabolic variables [fasting plasma glucose, triglyceride, and high‐density lipoprotein cholesterol (HDL‐C)] and systolic and diastolic BP was determined using Pearson correlation coefficients. The association between general and abdominal obesity with indices of LV structure and function was assessed using linear regression analyses with adjusting for covariates (age, sex, smoking status, physical activity, systolic BP, dyslipidaemia, diabetes mellitus, eGFR, uric acid, antihypertensive drugs, BMI, and WC). Unstandardized coefficient (β) and associated 95% confidence interval were reported. As a sensitivity analysis, general and abdominal obesity were substituted by BMI and WC, respectively, in the linear regression model, and results were reported in the Supporting Information, Table S1 . We further examined whether sex modified the relationship between general and abdominal obesity with indices of LV structure and function with adjusting for covariates as described earlier. Unstandardized β (95% confidence interval) and a P‐value for interaction were reported. All the analyses were performed using the R package (Version 3.6, Vienna), and a P‐value < 0.05 was considered as statistical significance.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.