加速的生物老化与骨关节炎风险的关联：一项横断面研究。
The association between accelerated biological aging and the risk of osteoarthritis: a cross-sectional study.
机构信息
Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, China.
出版信息
Front Public Health. 2024 Sep 11;12:1451737. doi: 10.3389/fpubh.2024.1451737. eCollection 2024.
BACKGROUND
Biological age (BA) offers an effective assessment of true aging state. The progression of Osteoarthritis (OA) is closely associated with an increase in chronological age, the correlation between BA and OA has not been fully elucidated.
METHODS
This study analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Thirteen commonly used clinical traits were employed to calculate two measures of BA: the Klemera-Doubal method age (KDM-Age) and phenotypic age (Pheno-Age). The residuals of the regression of these ages based on chronological age were calculated as KDM-Age or Pheno-Age acceleration, respectively. OA was determined through self-reported prior diagnoses. The prevalence of OA across different quartiles of BA was compared using weighted chi-square tests and linear trend tests. The association between BA and OA was assessed using weighted multivariate logistic regression models.
RESULTS
A total of 30,547 participants aged ≥20 years were included in this study, 3,922 (14%) were diagnosed with OA. Participants with OA exhibited higher chronological age, KDM-Age, Pheno-Age, KDM-Age advance, and Pheno-Age advance compared to those without OA (). The prevalence of OA significantly increased with higher quartiles of KDM-Age advance and Pheno-Age advance (). In the fully adjusted model, compared to the lowest quartile (Q1) of KDM-Age advance, the highest quartile (Q4) was associated with a 36.3% increased risk of OA (OR = 1.363; 95% CI = 1.213 to 1.532, ). The highest quartile of Pheno-Age advance (Q4) was associated with a 24.3% increased risk of OA compared to Q1 (OR = 1.243; 95% CI = 1.113 to 1.389, ). In males and young people, no statistical differences were found in OA risk between the highest and the lowest quartiles of KDM-Age advance ( = 0.151) and Pheno-Age advance ( = 0.057), respectively.
CONCLUSION
Adults with accelerated biological aging have an increased risk of OA, particularly among females and older adults.
背景
生物年龄（BA）可有效评估真实的衰老状态。骨关节炎（OA）的进展与年龄的增长密切相关，但 BA 与 OA 之间的相关性尚未完全阐明。
方法
本研究分析了 2005 年至 2018 年全国健康和营养检查调查（NHANES）的数据。采用 13 种常用的临床特征来计算 BA 的两种测量值：Klemera-Doubal 方法年龄（KDM-Age）和表型年龄（Pheno-Age）。基于年龄的这些年龄的回归残差分别计算为 KDM-Age 或 Pheno-Age 加速。通过自我报告的先前诊断确定 OA。使用加权卡方检验和线性趋势检验比较不同 BA 四分位数的 OA 患病率。使用加权多变量 logistic 回归模型评估 BA 与 OA 的相关性。
结果
本研究共纳入 30547 名年龄≥20 岁的参与者，其中 3922 人（14%）被诊断为 OA。与无 OA 者相比，OA 患者的年龄较大、KDM-Age、Pheno-Age、KDM-Age 提前和 Pheno-Age 提前（）。随着 KDM-Age 提前和 Pheno-Age 提前的四分位数增加，OA 的患病率显著增加（）。在完全调整模型中，与 KDM-Age 提前的最低四分位数（Q1）相比，最高四分位数（Q4）与 OA 风险增加 36.3%相关（OR=1.363；95%CI=1.213 至 1.532，）。与 Q1 相比，Pheno-Age 提前的最高四分位数（Q4）与 OA 风险增加 24.3%相关（OR=1.243；95%CI=1.113 至 1.389，）。在男性和年轻人中，KDM-Age 提前（=0.151）和 Pheno-Age 提前（=0.057）的最高和最低四分位数之间的 OA 风险无统计学差异。
结论
生物年龄加速的成年人患 OA 的风险增加，尤其是女性和老年人。
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