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Background <p>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.</p> Results <p>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 (<i>P</i> &lt; 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.</p> Conclusion <p>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.</p>

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The best anthropometric indices to predict colon cancer

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月10日

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

摘要

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.