高级检索

    基于CHARLS队列的多中心分析探究基线腰围身高比与膝骨性关节炎患病风险关系

    Study on the relationship between the baseline of waist-to-height ratio and risk of knee osteoarthritis based on the CHARLS cohort multicenter analysis

      摘要
    • 摘要:
      目的： 探讨腰高比（WHtR）这一新型肥胖测量指标与膝骨性关节炎（KOA）患病风险关系。
      方法： 采用多中心前瞻性队列设计，暴露变量为基线WHtR，结局变量为KOA确诊。调整协变量包括人口学特征（年龄、性别、教育）、代谢指标（血糖、血脂、尿酸）及生活方式因素（吸烟、饮酒），通过多变量Cox回归、分层分析评估关联性，RCS分析探讨潜在的非线性关系。
      结果： 研究纳入参与者3 718人，随访期为9年，其中1 375例诊断为KOA，2 343名非KOA作为对照组。2组肌酐、尿酸、体质量指数（BMI）、WHtR、糖尿病、卒中、高血压、教育水平、保险状况、吸烟和性别差异均有统计学意义（P ＜ 0.05 ~ P ＜ 0.01）。Logistic分析显示，在非调整模型中，WHtR与KOA显著相关（P ＜ 0.01）；调整性别、年龄、教育、婚姻状况和居住地后，WHtR的效应减弱但仍显著（P ＜ 0.01）；进一步调整饮酒、吸烟、糖尿病、高血压、中风、血糖、尿酸、BMI、肌酐、胱抑素C、糖化血红蛋白、胆固醇、低密度脂蛋白和C反应蛋白后，WHtR仍为KOA的独立危险因素（P ＜ 0.05）。RCS分析未发现WHtR与KOA之间有明显剂量–反应关系（Poverall = 0.14，Pnon−linear = 0.63）。在BMI ＜ 28 kg/m2参与者和农村人群中，WHtR与KOA患病风险关联更为明显（P ＜ 0.01）。
      结论： WHtR是KOA风险的重要预测因素，在非肥胖及农村居民中更明显。

       

      Abstract:
      Objective To explore the association between waist-to-height ratio (WHtR), a novel obesity measurement index, and risk of knee osteoarthritis (KOA) prevalence.
      Methods A multicenter prospective cohort design was employed, with the baseline WHtR as exposure variable and the KOA diagnosis as outcome variable. The adjusted covariates included the demographic characteristics (age, gender, education), metabolic indicators (blood glucose, blood lipid, uric acid) and lifestyle factors (smoking, drinking). The associations were evaluated through multivariate Cox regression and stratified analysis, and the potential nonlinear relationships were explored by RCS analysis.
      Results A total of 3718 participants were included in the study, with a follow-up period of 9 years. Among them, 1375 cases were diagnosed with KOA, and 2343 non-KOA cases served as the control group. There were statistically significant differences in the levels of creatinine, uric acid, body mass index (BMI), WHtR, diabetes, stroke, hypertension and education, insurance status, smoking and gender between two groups (P ＜ 0.05 to P ＜ 0.01). The results of logistic analysis showed that in the non-adjusted model, the WHtR was significantly correlated with KOA (P ＜ 0.01); After adjusting the gender, age, education, marital status and place of residence, the effect of WHtR weakened, but which was still significant (P ＜ 0.01). After further adjustment for alcohol consumption, smoking, diabetes, hypertension, stroke, blood glucose, uric acid, BMI, creatinine, cystatin C, glycated hemoglobin, cholesterol, low-density lipoprotein and C-reactive protein, the WHtR remained an independent risk factor of KOA (P ＜ 0.05). The RCS analysis did not find a significant dose-response relationship between WHtR and KOA (Poverall = 0.14, Pnon−linear = 0.63). Among participants with a BMI ＜ 28 kg/m2 and rural populations, the association between WHtR and risk of KOA was more significant (P ＜ 0.01).
      Conclusions WHtR is an important predictor of KOA risk, which is more pronounced among non-obese and rural residents.

       

      • HTML全文
      • 参考文献(16)
      • 相关文章
      • 施引文献
    • 资源附件(0)

    /

    返回文章
    返回