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预测结肠癌的最佳人体测量指标。

The best anthropometric indices to predict colon cancer.

作者信息

Wang Kaihao, Wang Anlei, Wang Shaozu, Luo Zhijiang, Gong Yazhao, Hao Xiaoliang, Yang Guanglei, Xu Shuqing

机构信息

Department of General Surgery, Xingtai People's Hospital, No.16 Hongxing Street, Xiangdu District, Xingtai, 054000, Hebei, China.

出版信息

BMC Gastroenterol. 2025 Apr 10;25(1):242. doi: 10.1186/s12876-025-03832-z.

DOI:10.1186/s12876-025-03832-z
PMID:40211175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11987457/
Abstract

BACKGROUND

Colon cancer is one of the most prevalent malignancies globally. Anthropometric data are widely accessible. However, numerous anthropometric indicators exist, and no study has identified the most reliable predictor for colon cancer. This study aims to identify the most effective anthropometric indicators for predicting colon cancer.

RESULTS

Significant differences were observed in age, race, smoking, diabetes, hypertension, waist circumference, a body shape index (ABSI), Body Roundness Index (BRI), Conicity Index (ConI), Waist-to-Height Ratio(WHtR), and Weight-adjusted Waist Index(WWI) between colon cancer patients and controls (P < 0.05). ABSI (AUC: 0.68, 95% CI: 0.64-0.71), ConI (AUC: 0.68, 95% CI: 0.64-0.71), and WWI (AUC: 0.67, 95% CI: 0.63-0.70) were the most accurate anthropometric indices for predicting colon cancer. ABSI, ConI, and WWI demonstrated a strong correlation.

CONCLUSION

Analysis of NHANES data (2005-2018) identified ABSI, ConI, and WWI (AUC:0.67-0.68) as optimal anthropometric predictors of colon cancer, emphasizing abdominal obesity's clinical relevance. These cost-effective indices could enhance early screening in resource-limited settings.

摘要

背景

结肠癌是全球最常见的恶性肿瘤之一。人体测量数据易于获取。然而,存在众多人体测量指标,且尚无研究确定结肠癌最可靠的预测指标。本研究旨在确定预测结肠癌最有效的人体测量指标。

结果

结肠癌患者与对照组在年龄、种族、吸烟、糖尿病、高血压、腰围、体型指数(ABSI)、体圆度指数(BRI)、锥度指数(ConI)、腰高比(WHtR)和体重调整腰围指数(WWI)方面存在显著差异(P < 0.05)。ABSI(AUC:0.68,95%CI:0.64 - 0.71)、ConI(AUC:0.68,95%CI:0.64 - 0.71)和WWI(AUC:0.67,95%CI:0.63 - 0.70)是预测结肠癌最准确的人体测量指标。ABSI、ConI和WWI显示出强相关性。

结论

对美国国家健康与营养检查调查(NHANES)数据(2005 - 2018年)的分析确定ABSI、ConI和WWI(AUC:0.67 - 0.68)为结肠癌的最佳人体测量预测指标,强调了腹部肥胖的临床相关性。这些具有成本效益的指标可加强资源有限环境下的早期筛查。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/a9a225611856/12876_2025_3832_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/46628cf83c8d/12876_2025_3832_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/d23f203e5dff/12876_2025_3832_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/95206b93aeee/12876_2025_3832_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/a9a225611856/12876_2025_3832_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/46628cf83c8d/12876_2025_3832_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/d23f203e5dff/12876_2025_3832_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/95206b93aeee/12876_2025_3832_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc02/11987457/a9a225611856/12876_2025_3832_Fig3_HTML.jpg

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本文引用的文献

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Association between a body shape index and colorectal cancer in US population: a cross-sectional study based on NHANES.美国人群中身体形态指数与结直肠癌之间的关联:一项基于美国国家健康与营养检查调查(NHANES)的横断面研究
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Advancements in Understanding and Preventing Obesity-Related Colon Cancer.理解和预防肥胖相关结肠癌的进展。
Cancer J. 2024;30(5):357-369. doi: 10.1097/PPO.0000000000000744.
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A body shape index (ABSI) but not body mass index (BMI) is associated with prostate cancer-specific mortality: Evidence from the US NHANES database.
一种体型指数(ABSI)而非体重指数(BMI)与前列腺癌特异性死亡率相关:来自美国 NHANES 数据库的证据。
Prostate. 2024 Jun;84(9):797-806. doi: 10.1002/pros.24698. Epub 2024 Apr 1.
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Molecular Mechanisms of Cachexia: A Review.恶病质的分子机制:综述。
Cells. 2024 Jan 29;13(3):252. doi: 10.3390/cells13030252.
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Physical activity and cancer risk: a dose-response analysis for the Global Burden of Disease Study 2019.体力活动与癌症风险:基于 2019 年全球疾病负担研究的剂量-反应分析。
Cancer Commun (Lond). 2023 Nov;43(11):1229-1243. doi: 10.1002/cac2.12488. Epub 2023 Sep 24.
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A Body Shape Index (ABSI) as a Variant of Conicity Index Not Affected by the Obesity Paradox: A Cross-Sectional Study Using Arterial Stiffness Parameter.作为不受肥胖悖论影响的锥度指数变体的身体形状指数(ABSI):一项使用动脉僵硬度参数的横断面研究
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