Association of "a body shape index" with the risk of developing colorectal cancer in U.S. patients with metabolic syndrome: evidence from the NHANES 1999-2018.

Autor: Kurexi A; Gastrointestinal Surgery, Fourth Affiliated Hospital of Xinjiang Medical University, 116 Huanghe Road, Saybagh District, Urumqi, 830099, Xinjiang Uygur Autonomous Region, China., Peng J; Gastrointestinal Surgery, Fourth Affiliated Hospital of Xinjiang Medical University, 116 Huanghe Road, Saybagh District, Urumqi, 830099, Xinjiang Uygur Autonomous Region, China., Yao J; Gastrointestinal Surgery, Fourth Affiliated Hospital of Xinjiang Medical University, 116 Huanghe Road, Saybagh District, Urumqi, 830099, Xinjiang Uygur Autonomous Region, China., Wang L; Gastrointestinal Surgery, Fourth Affiliated Hospital of Xinjiang Medical University, 116 Huanghe Road, Saybagh District, Urumqi, 830099, Xinjiang Uygur Autonomous Region, China., Wang Q; Gastrointestinal Surgery, Fourth Affiliated Hospital of Xinjiang Medical University, 116 Huanghe Road, Saybagh District, Urumqi, 830099, Xinjiang Uygur Autonomous Region, China. wangqisan2008@163.com.
Jazyk: angličtina
Zdroj: BMC gastroenterology [BMC Gastroenterol] 2024 Dec 03; Vol. 24 (1), pp. 447. Date of Electronic Publication: 2024 Dec 03.
DOI: 10.1186/s12876-024-03537-9
Abstrakt: Background: Colorectal cancer (CRC) is the third most common cancer worldwide and presents a significant challenge to public health. Metabolic syndrome (MetS) is a condition that is predominantly characterized by abdominal obesity and metabolic abnormalities such as hypertension, hyperglycemia, and hyperlipidemia, and it is one of the critical risk factors for CRC. Traditional anthropometric measures have limitations in accurately assessing the risk associated with abdominal obesity. This study aimed to investigate the association between "A Body Shape Index" (ABSI) and the risk of developing CRC among individuals with MetS utilizing data from the National Health and Nutrition Examination Survey (NHANES).
Methods: This cross-sectional study conducted a statistical analysis of all adult participants who met the diagnostic criteria for MetS in the NHANES data from 1999 to 2018. The ABSI was calculated to quantify abdominal obesity. ABSI is derived from a formula that incorporates waist circumference (WC), body mass index (BMI), and height, and is calculated as ABSI = WC / (BMI^(2/3) × Height^(1/2)). Multivariate logistic regression modeling was used to examine the independent association between ABSI and CRC incidence. Receiver Operating Characteristic (ROC) curves were employed to analyze the ability of ABSI compared to traditional metrics in identifying CRC risk.
Results: This study involved 16,018 MetS patients with a mean age of 51.8 years, of whom 50.3% were male and 49.7% were female. Logistic regression adjusted for confounders revealed a significant association between an elevated ABSI and an increased risk of developing CRC (odds ratio (OR): 1.433, 95% confidence interval (CI): 1.116 to 1.841; P = 0.005). ROC analyses confirmed that the predictive accuracy of the ABSI for the risk of developing CRC area under the curve (AUC): (0.668, 95% CI: 0.624 to 0.713) surpassed that of traditional measurement methods.
Conclusion: Among individuals with MetS, the ABSI is linked to an elevated risk of developing CRC. Compared with traditional anthropometric indices, the ABSI is a superior predictive marker for the risk of developing CRC.
Competing Interests: Declarations. Ethics approval and consent to participate: The use of data from this study was approved by the NCHS Ethics Review Board. All participants agreed to participate in this study and written informed consent was obtained. For full information on these ethical approvals, please visit the following website: https://www.cdc.gov/nchs/nhanes/irba98.htm . Consent for publication: Not Applicable. Competing interests: The authors declare no competing interests. Author’s statement: All authors approved the final version and agreed to be accountable for all aspects of the work.
(© 2024. The Author(s).)
Databáze: MEDLINE
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