Relationships of Fat and Muscle Mass with Chronic Kidney Disease in Older Adults: A Cross-Sectional Pilot Study

Bokun Kim, Hyuntae Park, Gwonmin Kim, Tomonori Isobe, Takeji Sakae and Sechang Oh
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Bokun Kim: Department of Sports Health Care, Inje University, Gimhae 50834, Korea
Hyuntae Park: Department of Health Science, Dong-A University, Pusan 49315, Korea
Gwonmin Kim: Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Pusan 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, 2020, vol. 17, issue 23, 1-10

Abstract: This cross-sectional pilot study aimed to assess the relationships of fat and muscle mass with chronic kidney disease (CKD) in older adults. Serum creatinine concentration was used to measure estimated glomerular filtration rate (mL/min/1.73 m 2 ) in the 236 subjects, who were allocated to three groups: a normal (≥60.0), a mild CKD (45.0–59.9), and a moderate to severe CKD (<45.0) group. The Jonckheere-Terpstra test and multivariate logistic regression were employed to assess body composition trends and the relationships of % fat mass (FM) or % muscle mass index (MMI) with moderate-to-severe CKD. Body weight, fat-free mass, MMI, and %MMI tended to decrease with an increase in the severity of CKD, but the opposite trend was identified for %FM. No relationship with BMI was identified. The participants in the middle-high and highest quartile for %FM were 6.55 and 14.31 times more likely to have moderate to severe CKD. Conversely, the participants in the highest quartile for %MMI were 0.07 times less likely to have moderate to severe CKD. Thus, high fat and low muscle mass may be more strongly associated with CKD than obesity per se.

Keywords: chronic kidney disease; fat mass; muscle mass (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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