Association between visceral adipose index and risk of hypertension in a middle-aged and elderly Chinese population

2021 ◽  
Author(s):  
Yayun Fan ◽  
Dingliu He ◽  
Siyuan Liu ◽  
Yanan Qiao ◽  
Honglan Gao ◽  
...  
Keyword(s):  
Chinese Population ◽  
Middle Aged ◽  
Elderly Chinese ◽  
Visceral Adipose

BMI, Waist Circumference and All-Cause Mortality in a Middle-Aged and Elderly Chinese Population

2018 ◽  
Vol 22 (8) ◽  
pp. 975-981 ◽  
Author(s):  
H. Hu ◽  
J. Wang ◽  
X. Han ◽  
Y. Li ◽  
F. Wang ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Chinese Population ◽  
Middle Aged ◽  
Elderly Chinese ◽  
All Cause Mortality

scholarly journals Relationship between hyperuricemia and risk of coronary heart disease in a middle-aged and elderly Chinese population

2017 ◽  
Vol 45 (1) ◽  
pp. 254-260 ◽  
Author(s):  
Ye Yang ◽  
Jian Tian ◽  
Chao Zeng ◽  
Jie Wei ◽  
Liang-Jun Li ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Heart Disease ◽  
Chinese Population ◽  
Middle Aged ◽  
Elderly Chinese

scholarly journals Development and internal validation of a multivariable prediction model for 6-year risk of stroke: a cohort study in middle-aged and elderly Chinese population

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e048734
Author(s):  
Qi Yu ◽  
Yuanzhe Wu ◽  
Qingdong Jin ◽  
Yanqing Chen ◽  
Qingying Lin ◽  
...  
Keyword(s):  
Cohort Study ◽  
Prediction Model ◽  
Ischaemic Stroke ◽  
Chinese Population ◽  
Significant Risk ◽  
Density Lipoprotein ◽  
Haemorrhagic Stroke ◽  
Middle Aged ◽  
Elderly Chinese ◽  
Risk Predictors

ObjectiveTo develop and internally validate a prediction model for 6-year risk of stroke and its primary subtypes in middle-aged and elderly Chinese population.DesignThis is a retrospective cohort study from a prospectively collected database.ParticipantsWe included a total 3124 adults aged 45–80 years, free of stroke or myocardial infarction at baseline in the 2009–2015 cohort of China Health and Nutrition Survey.Primary and secondary outcome measuresThe outcome of the prediction model was stroke. Investigated predictors were: age, gender, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), hypertension (HBP), drinking status, smoking status, diabetes and site. Stepwise multiple Cox regression was applied to identify independent predictors. A nomogram was constructed to predict 6-year risk of stroke based on the multiple analysis results. Bootstraps with 1000 resamples were applied to both C-index and calibration curve.ResultThe overall incidence of overall stroke was 2.98%. Age, gender, HBP and TC were found as significant risk predictors for overall stroke; age, gender, HBP and LDL-C were found as significant risk predictors for ischaemic stroke; age, gender, HBP, BMI and HDL-C were found as significant risk predictors for haemorrhagic stroke. The nomogram was constructed using significant variables included in the model, with a C-index of 0.74 (95% CI: 0.72 to 0.76), 0.74 (95% CI: 0.71 to 0.77), and 0.81 (95% CI: 0.78 to 0.84) for overall stroke, ischaemic stroke, and haemorrhagic stroke model, respectively. The calibration curves demonstrated the good agreements between predicted and observed 6-year risk probability.ConclusionOur nomogram could be convenient, easy to use and effective prognoses for predicting 6-year risk of stroke in middle-aged and elderly Chinese population.

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