ABSTRACT
Objective To investigate the endothelial dysfunction in pre-hypertension and its influencing factors.Methods A total of 373 youth were divided as the subjects into hypertension group (HBP group),prehypertension group (PHT group) and normal blood pressure group (NBP group).Endothelial function was assessed based on carotid intima-media thickness (IMT),brachial artery flow-mediated dilation (FMD) and brachial-ankle pulse wave velocity (baPWV).Results IMT and baPWV in PHT group were higher than those in NBP group (P＜0.05),but did not reach the significant difference when compared with HBP group (P＞0.05).Compared with HBP,the levels of FMD in PHT group significantly increased (P＜ 0.05);however,no difference was observed in comparison with NBP group (P＞0.05).In the early stage of hypertension,diastolic BP (β=-0.120,P＜0.05) and body mass index (β=-0.115,P＜0.05) were negatively correlated with FMD;diastolic BP (β=0.146,P＜0.05),2-hour glucose (β=0.147,P＜0.05),high-density lipoprotein cholestrol (β=0.150,P＜0.05),and waist-hip ratio (β=0.126,P＜0.05) showed a positive correlation with IMT.baPWV was correlated with systolicBP (β=0.358,P＜0.01),waist circumference (β=0.254,P＜0.05),fasting glucose (β=0.155,P＜0.05),postprandial 2 h blood glucose (β =0.152,P ＜0.05),uric acid (β =0.206,P ＜ 0.05),and C-reactive protein (β=0.099,P＜0.05).Corclusion Our study shows that endothelial dysfunction may exist in the prehypertensive young,and several cardiovascular risks contribute to its development in the early stage of hypertension.
ABSTRACT
Objective This study aimed to apply quantile regression to study Hanzhong rural residents health survey data,explore the local distribution characteristics of health-related quality of life (HRQOL) and influencing factors and present the value of quantile regression applying in analysis of HRQOL.Methods In this cross-sectional population-based study,we evaluated the HRQOL of 2 737 subjects through filling Short-Form Health Survey (SF-36).Quantile regression model was used to compare MCS and PCS scores and evaluate the associated factors.Results With different quantiles MCS and PCS score,the associated factors and influence degree were different.In general,the influences of marital status,educational level,physical activity,history of disease and HRQOL in the part of the percentile scores were significant.Conclusion Analysis of the distribution of HRQOL of rural residents in Hanzhong and influencing factors would benefit the improvement of HRQOL of local residents.