Background: Few studies have explored the emerging adiposity marker A Body Shape Index (ABSI) with cancer risk. This study investigated the associations between ABSI and the incidence of cancer at 23 sites and all cancer combined.
Methods: Data from 442,610 participants from the UK Biobank prospective study were included in this study. ABSI was used as the exposure. Incidence of cancer at 23 sites was the outcome. Cox proportional hazard models were performed to explore the association of ABSI, and combined ABSI and body mass index (BMI) with cancer risk, after adjusting for multiple testing.
Results: 36,961 individuals developed cancer during the 8.8 years median follow-up. In multivariable analyses, participants in the highest tertile of ABSI had higher risk of lung [HR, 1.58; 95% confidence interval (CI), 1.44-1.74], liver (HR, 1.45; 95% CI, 1.18-1.77), esophagus (HR, 1.32; 95% CI, 1.12-1.57), colorectal (HR, 1.19; 95% CI, 1.10-1.28), and breast (HR, 1.05; 95% CI, 1.04-1.17) cancers, and all cancers combined (HR, 1.11; 95% CI, 1.08-1.14) compared with the lowest tertile. These associations remained significant after adjustment for BMI. When ABSI was combined with BMI, participants in the highest ABSI who also had a BMI ≥ 25 kg/m were at higher risk of uterus, esophagus, liver, stomach, colorectal, and breast cancers, as well as all cancers combined, compared with those in the lowest ABSI tertile with a normal BMI.
Conclusions: ABSI is associated with an increased risk of five cancers as well as all cancers combined, independently of BMI.
Impact: ABSI is a useful marker for adiposity. However, cancer risk prediction improves with the combination of BMI.
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http://dx.doi.org/10.1158/1055-9965.EPI-21-0591 | DOI Listing |
J Clin Med
January 2025
School of Global Sport Studies, Korea University, 2511, Sejong-ro, Sejong-si 30019, Republic of Korea.
Metabolic syndrome (MetS) is a cluster of risk factors that significantly increase the risk of cardiovascular disease, including type 2 diabetes, etc. Assessing the predictive diagnostic power of anthropometric indicators for MetS is crucial for the early identification and prevention of related health issues. This study focuses on the Korean adult population while providing insights that may be applicable to broader global contexts.
View Article and Find Full Text PDFBMC Urol
January 2025
Department of Urology, The Third People's Hospital of Bengbu, Bengbu, Anhui, China.
Background: Benign prostatic hyperplasia (BPH) and its related lower urinary tract symptoms (LUTS) are commonly observed among aging males and have a substantial effect on quality of life. Metabolic syndrome, with a specific focus on obesity, is believed to play a role in the development of BPH. This study intends to explore the relationship between several obesity-related metrics, including the Chinese Visceral Adiposity Index (CVAI), and LUTS/BPH within a national cohort of Chinese men.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, P. O. Box: 1416643931, Tehran, Iran.
Objectives: An efficient approach to monitor the risks associated with chronic diseases is to use a dietary diversity score (DDS). To our knowledge, there has been no study conducted on the correlation between DDS and cardiovascular risk factors in individuals with diabetes. Hence, the objective of this study is to ascertain the correlation between these traits.
View Article and Find Full Text PDFThe relationship between a body shape index (ABSI) and bone mineral density (BMD) remains uncertain, prompting further investigation. This study aims to elucidate the association between ABSI and BMD using data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), involving participants aged 20-60. ABSI was calculated using the formula: ABSI = 1000 × waist circumference (m)×weight (kg)×height (m).
View Article and Find Full Text PDFFront Nutr
January 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Background: Non-alcoholic fatty liver disease (NAFLD) is a widespread liver condition associated with diabetes, metabolic syndrome, and cardiovascular diseases, yet public awareness remains low. Early detection of risk factors is crucial, but liver biopsy, the diagnostic gold standard, is invasive and costly. Non-invasive anthropometric indices provide a safer alternative.
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