The association between accelerated biological aging and the risk of osteoarthritis: a cross-sectional study

IF 3 3区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Frontiers in Public Health Pub Date : 2024-09-11 DOI:10.3389/fpubh.2024.1451737

Qiang He, Hua Luo, Jie Mei, Zhen Wang, Xin Sun, Ling Wang, Chengxin Xie

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引用次数: 0

Abstract

BackgroundBiological 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.MethodsThis 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.ResultsA 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 (p < 0.001). The prevalence of OA significantly increased with higher quartiles of KDM-Age advance and Pheno-Age advance (P for trend < 0.001). 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, p < 0.001). 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, p < 0.001). In males and young people, no statistical differences were found in OA risk between the highest and the lowest quartiles of KDM-Age advance (p = 0.151) and Pheno-Age advance (p = 0.057), respectively.ConclusionAdults with accelerated biological aging have an increased risk of OA, particularly among females and older adults.

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生物老化加速与骨关节炎风险之间的关联：一项横断面研究

背景生物年龄（BA）可有效评估真实的衰老状态。骨关节炎（OA）的进展与计时年龄的增长密切相关，但生物年龄与 OA 之间的相关性尚未完全阐明。方法本研究分析了 2005-2018 年美国国家健康与营养调查（NHANES）的数据。采用 13 种常用的临床特征来计算两种 BA 测量值：Klemera-Doubal 法年龄（KDM-Age）和表型年龄（Pheno-Age）。根据年代年龄对这些年龄进行回归的残差分别计算为 KDM 年龄或 Pheno 年龄加速度。OA 是通过自我报告的先前诊断确定的。采用加权卡方检验和线性趋势检验对不同四分位 BA 的 OA 患病率进行比较。本研究共纳入 30,547 名年龄≥20 岁的参与者，其中 3,922 人（14%）被诊断出患有 OA。与无 OA 的参与者相比，有 OA 的参与者的实际年龄、KDM-年龄、Pheno-年龄、KDM-年龄提前期和 Pheno-Age 提前期均较高（p &p;lt;0.001）。随着KDM-Age提前量和Pheno-Age提前量的四分位数越高，OA患病率明显增加（趋势P< 0.001）。在完全调整模型中，与 KDM-Age 提前期的最低四分位数（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，P &;lt;0.001）。与 Q1 相比，Pheno-Age advance（Q4）的最高四分位数与 OA 风险增加 24.3% 相关（OR = 1.243；95% CI = 1.113 至 1.389，p &;lt;0.001）。在男性和年轻人中，KDM-年龄提前度（p = 0.151）和Pheno-年龄提前度（p = 0.057）的最高四分位数和最低四分位数之间的OA风险没有统计学差异。

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来源期刊

Frontiers in Public Health Medicine-Public Health, Environmental and Occupational Health

CiteScore

4.80

自引率

7.70%

发文量

4469

审稿时长

14 weeks

期刊介绍： Frontiers in Public Health is a multidisciplinary open-access journal which publishes rigorously peer-reviewed research and is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians, policy makers and the public worldwide. The journal aims at overcoming current fragmentation in research and publication, promoting consistency in pursuing relevant scientific themes, and supporting finding dissemination and translation into practice. Frontiers in Public Health is organized into Specialty Sections that cover different areas of research in the field. Please refer to the author guidelines for details on article types and the submission process.