Clinical nutrition ESPEN · 2025
Association between phase angle and the risk of sarcopenic obesity in individuals with type 2 diabetes mellitus: A cross-sectional study.
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Matsuyama Tomoyuki, Yamamoto Sinta, Hashimoto Yoshitaka, Murai Moe, Kitagawa Noriyuki, Hamaguchi Masahide, Fukui Michiaki
Аннотация
OBJECTIVES: Sarcopenic obesity (SO) is associated with increased morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). Phase angle (PhA), derived from bioelectrical impedance analysis (BIA), is a potential marker of cellular health and muscle quality. This study aimed to investigate the association between PhA and the risk of SO in Japanese individuals with T2DM.
METHODS: In this cross-sectional study, body composition and PhA were evaluated by BIA. Sarcopenic obesity was defined as the coexistence of sarcopenia, characterized by decreased handgrip strength (men <28 kg, women <18 kg) and reduced BMI-adjusted fat-free mass (men <0.789 kg/BMI, women <0.512 kg/BMI), and obesity, defined as BMI ≥25 kg/m2 and body fat percentage (men ≥20 %, women ≥30 %). Logistic regression analyses were used to evaluate the association between PhA and SO, and receiver operating characteristic (ROC) curves were constructed to assess predictive ability.
RESULTS: Among 468 participants (mean age 68.2 ± 11.3 years), 16 participants had SO. Multivariate logistic regression analysis showed that PhA was associated with SO (adjusted odds ratio 0.88 per 0.1° increase, 95 % CI 0.79-0.97, p = 0.01), and according to ROC analysis, the optimal PhA cutoff for diagnosing SO was 4.55° (sensitivity 0.88, specificity 0.70, AUC 0.81, 95 % CI 0.73-0.89, p = 0.0003).
CONCLUSIONS: Lower PhA was independently associated with SO in Japanese individuals with T2DM, suggesting that PhA may serve as a potential biomarker for identifying individuals at high risk of SO.
METHODS: In this cross-sectional study, body composition and PhA were evaluated by BIA. Sarcopenic obesity was defined as the coexistence of sarcopenia, characterized by decreased handgrip strength (men <28 kg, women <18 kg) and reduced BMI-adjusted fat-free mass (men <0.789 kg/BMI, women <0.512 kg/BMI), and obesity, defined as BMI ≥25 kg/m2 and body fat percentage (men ≥20 %, women ≥30 %). Logistic regression analyses were used to evaluate the association between PhA and SO, and receiver operating characteristic (ROC) curves were constructed to assess predictive ability.
RESULTS: Among 468 participants (mean age 68.2 ± 11.3 years), 16 participants had SO. Multivariate logistic regression analysis showed that PhA was associated with SO (adjusted odds ratio 0.88 per 0.1° increase, 95 % CI 0.79-0.97, p = 0.01), and according to ROC analysis, the optimal PhA cutoff for diagnosing SO was 4.55° (sensitivity 0.88, specificity 0.70, AUC 0.81, 95 % CI 0.73-0.89, p = 0.0003).
CONCLUSIONS: Lower PhA was independently associated with SO in Japanese individuals with T2DM, suggesting that PhA may serve as a potential biomarker for identifying individuals at high risk of SO.