Effects of different obesity evaluation indexes on long-term blood pressure variability in adults

Abstract Background In recent years, people have a new understanding of the treatment of hypertension. Even at the optimal blood pressure levels recommended by the guidelines, further attention to blood pressure variability is warranted. Obesity and overweight are associated with blood pressure variability, but existing studies mainly focus on the effect of traditional obesity indicators on blood pressure variability (BPV). Objectives To explore the correlation between the new obesity assessment indicators LAP, BRI, CVAI and blood pressure variability. Methods A total of 7092 subjects who had regular physical examination in a community health center, were included for analysis. We used new measures to assess obesity, including LAP, BRI, CVAI. Subjects were grouped according to the baseline CVAI quartile. We used variation independent of mean(VIM) to assess long-term variations in blood pressure. Variance analysis was used to analyze the differences among different blood pressure variables and their baseline characteristics. Stepwise multivariate linear regression and multiple logistic regression analyses were used to assess the impact of CVAI/LAP/BRI on VIM. Results The average age of the subjects was 60.7±6.8 years old. With the increase of CVAI and BRI, the mean blood pressure variability increased gradually. In contrast, the mean blood pressure variability decreases with increasing LAP. After adjusting for other confounding factors, multiple linear regression analysis showed that VIMSBP increased by 0.007 and 0.216 for each unit increase in CVAI and BRI, respectively. LAP found no correlation. Multiple logistic regression analysis showed that increased CVAI and BRI were risk factors for increased VIMSBP, and increased LAP was protective factor for increased VIMSBP. Conclusion Compared with traditional indicators, the novel obesity indicators were also associated with blood pressure variability. And it has a stronger correlation than traditional indicators.