Long-Term Body Mass Index Variability, Weight Change Slope, and Risk of Cardiovascular Outcomes: 7-Year Prospective Study in Chinese Hypertensive Subjects.
Cai Zefeng,Wu Weiqiang,Chen Zekai,Fang Wei,Li Weijian,Chen Guanzhi,Chen Zhichao,Wu Shouling,Chen Youren
BACKGROUND:The relationship between long-term body mass index (BMI) variability, weight change slope, and risk of cardiovascular outcomes in Chinese hypertensive patients has not been fully elucidated. METHODS:A total of 20,737 patients with hypertension and three BMI measurements between 2006 and 2011 were included. Average real variability (ARV) was used to evaluate variability, and the subjects were divided into three groups: tertile 1 with BMI_ARV ≤0.86; tertile 2 with 0.86 < BMI_ARV ≤ 1.60; and tertile 3 with BMI_ARV >1.60. Cox proportional-hazards models were used to analyze the risk of cardiovascular and cerebrovascular diseases (CVD) in each group. RESULTS:There were 1,352 cases of CVD during an average follow-up of 6.62 years. The 7-year cumulative incidence rates of CVD, stroke, and myocardial infarction (MI) in tertile 3 were 7.53, 6.13, and 1.56%, respectively. After adjustment for average BMI, weight change slope, and other traditional risk factors, the hazard ratio (HR) values for CVD, stroke, and MI in the highest tertile were 1.21 (95% CI 1.05-1.39), 1.21 (95% CI 1.04-1.38), and 1.20 (95% CI 0.88-1.62), respectively. Subgroup analysis showed that the HR values for CVD in tertile 3 were 1.71 (95% CI 1.06-2.75) and 0.98 (95% CI 0.61-1.58) in the positive and the negative weight change subjects, respectively. CONCLUSIONS:Higher BMI variability was associated with increased risk of CVD in hypertensive subjects with weight gain but not in those with weight loss, independent of traditional cardiovascular risk factors.
Does an increase in estimated pulse wave velocity increase the incidence of hypertension?
Chen Haojia,Wu Weiqiang,Fang Wei,Chen Zhichao,Yan Xiuzhu,Chen Youren,Wu Shouling
Journal of hypertension
OBJECTIVE:As a risk indicator of hypertension, arterial stiffness is difficult to measure. Thus, we aimed to evaluate the association between estimated pulse wave velocity (ePWV) as a convenient indicator and the incidence of hypertension. METHODS:The Kailuan cohort was selected for statistical analysis and 54 849 individuals were included in the final cohort. Multiple linear regression was used to analyse the correlation between ePWV and mean SBP (SBP_m) measured at five time points over a 10-year period and between ePWV and mean DBP (DBP_m) measured at five time points over a 10-year period. Logistic regression was used to analyse the effect of estimated arterial stiffness on hypertension. RESULTS:The mean age of individuals was 48.44 ± 9.32 years, and 41 419 individuals (75.51%) were male. A multiple linear regression analysis showed that ePWV was positively correlated with both SBP_m and DBP_m. For every 1 cm/s increase in ePWV, SBP_m and DBP_m increased by 5.60 and 2.12 mmHg, respectively. A logistic regression analysis showed that in the total cohort, the incidence of hypertension in populations with moderate, moderate-high and high ePWV values was 3.03, 5.44 and 7.87-times higher, respectively, compared with individuals with low ePWV values. ePWV had a higher predictive value in female and middle age population compared with male and the eldly population grouped by sex and age respectively. CONCLUSION:ePWV positively correlates with both SBP_m and DBP_m, and an increase in ePWV is associated with an increase in the incidence of hypertension.