ArticleBMJ open gastroenterology2020
Visceral Adiposity Index is a predictor of incident colorectal cancer: a population-based longitudinal study.
Article in BMJ open gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Atherogenic Lipid Indices in Colorectal Cancer: Metabolic Associations and Survival Outcomes.Diagnostics (Basel, Switzerland) · 2026Article
- Robot Assisted Low Anterior Resection for Obese Rectal Cancer Patients: A Single-center Analysis of Short-term Outcomes.Journal of the anus, rectum and colon · 2026Article
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- Implication of Obesity and Gut Microbiome Dysbiosis in the Etiology of Colorectal Cancer.Cancers · 2023Review
- The association between visceral adiposity index and decreased renal function: A population-based study.Frontiers in nutrition · 2023Article
- Relationship between BMI, CT-derived body composition and colorectal neoplasia in a bowel screening population.Scottish medical journal · 2022Article
- Cardio-Metabolic Indices and Metabolic Syndrome as Predictors of Clinical Severity of Gastroenteropancreatic Neuroendocrine Tumors.Frontiers in endocrinology · 2021Observational
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe Visceral Adiposity Index (VAI) is a marker of visceral fat accumulation and dysfunction. We aimed to investigate the association between VAI and incident colorectal cancer (CRC).
designIn this historical cohort study of 27 921 (16 434 men and 11 487 women) participants, we divided the participants into tertiles according to VAI. We calculated VAI: men, VAI = (waist circumference (WC)/(39.68+1.88 × body mass index (BMI))) × (triglycerides (TG)/1.03) × (1.31/high-density lipoprotein cholesterol (HDL)); women, VAI = (WC/(36.58+1.89 × BMI)) × (TG/0.81) × (1.52/HDL). We performed Cox proportional hazard models, adjusting for sex, age, smoking, alcohol consumption, exercise, haemoglobin A1c and systolic blood pressure.
resultsDuring the median 4.4-year follow-up, 116 participants developed CRC. Compared with the lowest tertile, the HRs of incident CRC in the middle and the highest tertiles were 1.30 (95% CI 0.76 to 2.28, p=0.338) and 2.41 (1.50 to 4.02, p<0.001) in univariate analysis. Moreover, the HRs of incident CRC in the middle and the highest tertiles were 1.27 (0.73 to 2.23, p=0.396) and 1.98 (1.15 to 3.39, p=0.013) after adjusting for covariates.
conclusionsVAI can be a predictor of incident CRC. For early detection, we should encourage people with high VAI to undergo screening for CRC.
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