目的探究中国中老年男性慢性病与前列腺增生(benign prostatic hyperplasia,BPH)风险的相关性。方法本研究使用了2013年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)数据库统计数据,共纳入了4509名4...目的探究中国中老年男性慢性病与前列腺增生(benign prostatic hyperplasia,BPH)风险的相关性。方法本研究使用了2013年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)数据库统计数据,共纳入了4509名45岁以上的男性参与者。慢性病以及BPH诊断通过问卷调查获得。Logistic回归分析筛选BPH患病的独立危险因素,限制性立方样条(restricted cubic splines,RCS)分析计量资料与BPH患病的非线性关系,分层分析评估慢性病对不同亚组人群BPH患病的影响差异。结果2013年CHARLS数据库中BPH的总体患病率约为9.8%。与非BPH患者相比,BPH患者合并慢性病的比例显著增加,包括高血压、糖尿病、慢性呼吸系统疾病、慢性心脏病、卒中、慢性肾脏病、慢性消化系统疾病、关节炎或风湿病、抑郁、记忆相关疾病等。多因素Logistic回归分析提示,10项流行病学研究中心抑郁量表(10-item Center for Epidemiological Studies Depression Scale,CESD-10)评分(OR=1.043,95%CI:1.022~1.063,P<0.001)、慢性呼吸系统疾病(OR=1.518,95%CI:1.143~1.998,P=0.003)、慢性心脏病(OR=1.515,95%CI:1.143~1.998,P=0.003)、慢性肾脏病(OR=2.384,95%CI:1.799~3.137,P<0.001)和慢性消化系统疾病(OR=1.427,95%CI:1.129~1.796,P=0.003)是BPH患病风险的独立危险因素。RCS分析表明,年龄、体质量指数(body mass index,BMI)、CESD-10评分与BPH不存在非线性关联,分层分析表明这些慢性病对不同分层人群BPH患病的影响效果基本稳定。结论BPH常与多种慢性病并存,未来BPH的治疗应考虑与慢性病之间的共同病理机制,针对共享靶点进行综合干预。展开更多
Background Cardiovascular disease(CVD)remains a major health challenge globally,particularly in aging populations.Using data from the China Health and Retirement Longitudinal Study(CHARLS),this study examines the Trig...Background Cardiovascular disease(CVD)remains a major health challenge globally,particularly in aging populations.Using data from the China Health and Retirement Longitudinal Study(CHARLS),this study examines the Triglyceride-glucose(TyG)index dynamics,a marker for insulin resistance,and its relationship with CVD in Chinese adults aged 45 and older.Methods This reanalysis utilized five waves of CHARLS data with multistage sampling.From 17,705 participants,5,625 with TyG index and subsequent CVD data were included,excluding those lacking 2011 and 2015 TyG data.TyG derived from glucose and triglyceride levels,CVD outcomes via self-reports and records.Participants divided into four groups based on TyG changes(2011–2015):low-low,low-high,high-low,high-high TyG groups.Results Adjusting for covariates,stable high group showed a significantly higher risk of incident CVD compared to stable low group,with an HR of 1.18(95%CI:1.03–1.36).Similarly,for stroke risk,stable high group had a HR of 1.45(95%CI:1.11–1.89).Survival curves indicated that individuals with stable high TyG levels had a significantly increased CVD risk compared to controls.The dynamic TyG change showed a greater risk for CVD than abnormal glucose metabolism,notably for stroke.However,there was no statistical difference in single incidence risk of heart disease between stable low and stable high group.Subgroup analyses underscored demographic disparities,with stable high group consistently showing elevated risks,particularly among<65 years individuals,females,and those with higher education,lower BMI,or higher depression scores.Machine learning models,including random forest,XGBoost,CoxBoost,Deepsurv and GBM,underscored the predictive superiority of dynamic TyG over abnormal glucose metabolism for CVD.Conclusions Dynamic TyG change correlate with CVD risks.Monitoring these changes could predict and manage cardiovascular health in middle-aged and older adults.Targeted interventions based on TyG index trends are crucial for reducing CVD risks in this population.展开更多
文摘目的探究中国中老年男性慢性病与前列腺增生(benign prostatic hyperplasia,BPH)风险的相关性。方法本研究使用了2013年中国健康与养老追踪调查(China Health and Retirement Longitudinal Study,CHARLS)数据库统计数据,共纳入了4509名45岁以上的男性参与者。慢性病以及BPH诊断通过问卷调查获得。Logistic回归分析筛选BPH患病的独立危险因素,限制性立方样条(restricted cubic splines,RCS)分析计量资料与BPH患病的非线性关系,分层分析评估慢性病对不同亚组人群BPH患病的影响差异。结果2013年CHARLS数据库中BPH的总体患病率约为9.8%。与非BPH患者相比,BPH患者合并慢性病的比例显著增加,包括高血压、糖尿病、慢性呼吸系统疾病、慢性心脏病、卒中、慢性肾脏病、慢性消化系统疾病、关节炎或风湿病、抑郁、记忆相关疾病等。多因素Logistic回归分析提示,10项流行病学研究中心抑郁量表(10-item Center for Epidemiological Studies Depression Scale,CESD-10)评分(OR=1.043,95%CI:1.022~1.063,P<0.001)、慢性呼吸系统疾病(OR=1.518,95%CI:1.143~1.998,P=0.003)、慢性心脏病(OR=1.515,95%CI:1.143~1.998,P=0.003)、慢性肾脏病(OR=2.384,95%CI:1.799~3.137,P<0.001)和慢性消化系统疾病(OR=1.427,95%CI:1.129~1.796,P=0.003)是BPH患病风险的独立危险因素。RCS分析表明,年龄、体质量指数(body mass index,BMI)、CESD-10评分与BPH不存在非线性关联,分层分析表明这些慢性病对不同分层人群BPH患病的影响效果基本稳定。结论BPH常与多种慢性病并存,未来BPH的治疗应考虑与慢性病之间的共同病理机制,针对共享靶点进行综合干预。
文摘背景:骨质疏松症常见于老年群体,而一定程度的BMI的升高与骨保护相关。然而,BMI也被用于eGDR(estimated Glucose Disposal Rate,eGDR)计算,提示代谢紊乱可能与骨质疏松隐藏存在关联。目的:本研究旨在比较基于BMI与腰围的两种eGDR算法在超重人群中与骨质疏松风险之间的相关性,并识别其潜在的非线性转折点。方法:基于CHARLS(China Health and Retirement Longitudinal Study)2011年数据,纳入2859名45岁及以上超重参与者,以既往髋骨骨折作为骨质疏松的代替指标,进行Logistic回归分析,评估eGDR与骨质疏松风险的关联,并采用限制性三次样条(RCS)分析探讨其非线性关系及转折点。结果:在调整多种代谢及炎症指标后,eGDRBMI的第二分位组(OR=3.74)与第三分位组(OR=2.21)与骨质疏松风险呈显著正相关,而eGDRWC仅在第三分位组显示相关性(OR=2.54)。RCS分析提示eGDRBMI与骨质疏松风险之间存在统计学显著的非线性关系(P非线性=0.044),在eGDRBMI约6.2和9.8附近出现风险上升的拐点;而eGDRWC与骨质疏松关系不显著。亚组分析未见显著交互作用。结论:在超重人群中,eGDRBMI较eGDRWC更能反映骨质疏松风险。结果还提示BMI作为eGDR计算因子可能掩盖其骨保护效应,在特定范围内出现“高eGDR高骨折风险”的现象,因此应用时需要分人群进行分析和使用。
基金the National Natural Science Foundation of China(grant numbers 82070434,LYQ)。
文摘Background Cardiovascular disease(CVD)remains a major health challenge globally,particularly in aging populations.Using data from the China Health and Retirement Longitudinal Study(CHARLS),this study examines the Triglyceride-glucose(TyG)index dynamics,a marker for insulin resistance,and its relationship with CVD in Chinese adults aged 45 and older.Methods This reanalysis utilized five waves of CHARLS data with multistage sampling.From 17,705 participants,5,625 with TyG index and subsequent CVD data were included,excluding those lacking 2011 and 2015 TyG data.TyG derived from glucose and triglyceride levels,CVD outcomes via self-reports and records.Participants divided into four groups based on TyG changes(2011–2015):low-low,low-high,high-low,high-high TyG groups.Results Adjusting for covariates,stable high group showed a significantly higher risk of incident CVD compared to stable low group,with an HR of 1.18(95%CI:1.03–1.36).Similarly,for stroke risk,stable high group had a HR of 1.45(95%CI:1.11–1.89).Survival curves indicated that individuals with stable high TyG levels had a significantly increased CVD risk compared to controls.The dynamic TyG change showed a greater risk for CVD than abnormal glucose metabolism,notably for stroke.However,there was no statistical difference in single incidence risk of heart disease between stable low and stable high group.Subgroup analyses underscored demographic disparities,with stable high group consistently showing elevated risks,particularly among<65 years individuals,females,and those with higher education,lower BMI,or higher depression scores.Machine learning models,including random forest,XGBoost,CoxBoost,Deepsurv and GBM,underscored the predictive superiority of dynamic TyG over abnormal glucose metabolism for CVD.Conclusions Dynamic TyG change correlate with CVD risks.Monitoring these changes could predict and manage cardiovascular health in middle-aged and older adults.Targeted interventions based on TyG index trends are crucial for reducing CVD risks in this population.
