Association between accelerated biological aging and colorectal cancer: a cross-sectional study.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL Frontiers in Medicine Pub Date : 2025-02-21 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1533507
Sai Wang, Keyu Wang, Xiu Wang
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Abstract

Background: Biological age (BA) is regarded as a more accurate marker of aging than chronological age and is commonly used to assess associations with age-related diseases. The relationship between BA measures and the colorectal cancer (CRC) has not yet been investigated.

Methods: This study utilized data from the National Health and Nutrition Examination Survey. BA was quantified using the Klemera-Doubal method age (KDMAge) and phenotypic age (PhenoAge), based on 13 common clinical biomarkers. The prevalence of CRC across quartiles of BA indicators was compared using weighted Chi-square tests. Weighted multivariable logistic regression models were used to assess the association between BA indicators and CRC.

Results: A total of 36,684 participants were included. The weighted prevalence of CRC showed a significant and consistent upward trend across ascending quartiles of chronological age, KDMAge, and PhenoAge, even within gender and age subgroups (all P for trend < 0.05). In the total population and gender subgroups, higher quartiles of PhenoAge acceleration showed a higher weighted prevalence of CRC compared to lower quartiles (P for trend < 0.05). Accelerated PhenoAge was significantly associated with a higher prevalence of CRC (OR = 1.767, 95% CI: 1.236-2.524, P = 0.002). However, accelerated PhenoAge was associated with the increased prevalence of CRC only in individuals older than 65 years (OR = 1.655, 95% CI: 1.143-2.397, P = 0.008).

Conclusion: Biological aging are positively associated with the prevalence of CRC regardless of gender, particularly among the elderly.

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加速生物老化与结直肠癌之间的关系:一项横断面研究。
背景:生物年龄(BA)被认为是比实足年龄更准确的衰老标记,通常用于评估与年龄相关疾病的相关性。BA测量与结直肠癌(CRC)之间的关系尚未研究。方法:本研究利用国家健康与营养检查调查数据。基于13种常见临床生物标志物,采用klemera - double法年龄(KDMAge)和表型年龄(PhenoAge)对BA进行量化。采用加权卡方检验比较各BA指标四分位数的CRC患病率。采用加权多变量logistic回归模型评估BA指标与CRC之间的相关性。结果:共纳入36684名受试者。CRC的加权患病率在实足年龄、KDMAge和表型年龄的上升四分位数中显示出显著且一致的上升趋势,甚至在性别和年龄亚组中也是如此(趋势均P < 0.05)。在总人口和性别亚组中,表型年龄加速的高四分位数比低四分位数显示出更高的CRC加权患病率(趋势P < 0.05)。加速的表型与较高的CRC患病率显著相关(OR = 1.767, 95% CI: 1.236-2.524, P = 0.002)。然而,加速的表型年龄仅与65岁以上人群CRC患病率增加相关(OR = 1.655, 95% CI: 1.143-2.397, P = 0.008)。结论:生理衰老与CRC患病率呈正相关,无论性别,尤其是老年人。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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