The A Body Shape Index Might Be a Stronger Predictor of Chronic Kidney Disease Than BMI in a Senior Population

Bokun Kim, Gwonmin Kim, Eonho Kim, Jonghwan Park, Tomonori Isobe, Takeji Sakae and Sechang Oh
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Bokun Kim: Department of Kinesiology, Silla University, Busan 46958, Korea
Gwonmin Kim: Medical Research Institute, Pusan National University Hospital, Busan 49241, Korea
Eonho Kim: Department of Physical Education, Dongguk University, Seoul 04620, Korea
Jonghwan Park: Medical Research Institute, Pusan National University Hospital, Busan 49241, Korea
Tomonori Isobe: Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan
Takeji Sakae: Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan
Sechang Oh: Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan

IJERPH, 2021, vol. 18, issue 24, 1-11

Abstract: The A Body Shape Index (ABSI) was recently introduced to quantify abdominal adiposity relative to the body mass index (BMI) and height. This cross-sectional study was performed to explore whether the ABSI is linked to chronic kidney disease (CKD) in older adults and compare the predictive capacity of the ABSI versus BMI for CKD. In total, 7053 people aged ? 60 years were divided into normal, mild, and moderate-to-severe CKD groups based on their estimated glomerular filtration rate (eGFR). The correlation of the ABSI with the eGFR and the differences and trends in the ABSI and BMI among the groups were analyzed, and the cutoff points for moderate-to-severe CKD were calculated. The association between the ABSI and CKD was stronger than that between the BMI and CKD. The ABSI had a better capacity to discriminate the CKD stage than did the BMI. The capacity of the ABSI to predict moderate-to-severe CKD was higher than that of the BMI and was more substantial in women than men. The ABSI cutoff points for CKD were ?0.0822 and 0.0795 in men and women, respectively. In conclusion, the ABSI serves as a better index than the BMI for screening and detecting high-risk individuals with CKD.

Keywords: anthropometric index; estimated glomerular filtration rate; geriatrics; obesity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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