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Fig. 2. Correlation matrix visualization depicting the correlation between cardiometabolic parameters in pre-MetS subjects (n = 93). We created the correlation heatmap using the R package “ggcorrplot”. The color gradient indicates Pearson’s correlation coefficients (r values) based on pairwise correlations. Crosses indicate a lack of statistical significance (p-value > 0.05). Correlation is significant at 0.05, 0.01, and 0.001. A statistically significant correlation was seen, for instance, between BRS, SDNN, RMSSD, TP, LF:HF, E:I ratio, 30:15 ratio, DBPIHG, insulin, HOMA-IR, BF%, hs-CRP, and FPG. MetS, metabolic syndrome; BRS, baroreflex sensitivity; SDNN, standard deviation of normal to normal interval; RMSSD, square root of the mean squared differences of successive normal to normal intervals; TP, total power; LF, low-frequency power; HF, high-frequency power; E:I ratio, a ratio of maximum RR interval during expiration to minimum RR interval during inspiration following deep breathing; DBPIHG, diastolic BP above baseline following sustained handgrip; BMI, body mass index; WHR, ratio of waist-hip; WHtR, ratio of waist-height; FPG, fasting plasma glucose; HOMA-IR, homeostatic model assessment of insulin resistance; TG, triglyceride; HDL-c, high-density-lipoprotein cholesterol; AIP, atherogenic index of plasma; MAP, mean arterial pressure; RPP, rate pressure product; BF%, percentage of body fat; hs-CRP, high-sensitive C reactive protein.
Korean J Physiol Pharmacol 2023;27:49-59
© Korean J Physiol Pharmacol