{"title":"Screening for Pre-Frailty Using Phase Angle Derived from Bioelectrical Impedance Analysis in Community-Dwelling Older Adults.","authors":"Masayuki Hoshi, Tomoka Ogata, Maaya Chiguchi, Ayane Nakamaru, Tatsuya Nakanowatari, Akihiko Asao, Natsumi Kimura, Maki Ogasawara, Yuko Horikoshi, Rie Sakuraba-Hirata, Akiomi Yoshihisa, Hiroshi Hayashi, Toshimasa Sone, Yoshitaka Shiba","doi":"10.3390/geriatrics11020049","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background/Objectives:</b> To evaluate the utility of phase angle (PhA) derived from bioelectrical impedance analysis as a screening indicator for pre-frailty in community-dwelling older adults. <b>Methods:</b> This cross-sectional study included 171 participants (36 men and 135 women) in Japan in 2023. PhA at 50 kHz was measured using bioelectrical impedance analysis and evaluated as a potential screening indicator for pre-frailty. Assessments included body composition, physical function tests (maximum walking speed, Timed Up and Go (TUG), grip strength, knee extension strength, and one-leg stance time with eyes open), cognitive function (MoCA-J), and the Motor Fitness Scale (MFS), a questionnaire assessing physical function, along with the Kihon Checklist (KCL). Frailty status was defined using KCL scores (4-7: pre-frailty; ≥8: frailty), and participants were classified into robust and pre-frail/frail groups. <b>Results:</b> PhA was significantly correlated with physical function measures, including grip strength (r = 0.54, <i>p</i> < 0.01), MFS (r = 0.36, <i>p</i> < 0.01), maximum walking speed (r = 0.20, <i>p</i> < 0.05), knee extension strength (r = 0.16, <i>p</i> < 0.05), and TUG (r = -0.17, <i>p</i> < 0.05). In women, logistic regression analysis showed that PhA was independently associated with pre-frailty (age-adjusted odds ratio: 2.38; 95% CI: 1.08-5.23; <i>p</i> < 0.05). ROC analysis yielded an area under the curve of 0.65 (95% CI: 0.56-0.74), indicating modest discriminative ability. Age-adjusted cutoff values of PhA were 4.19° and 4.74°, corresponding to points prioritizing sensitivity and specificity, respectively. <b>Conclusions:</b> PhA is associated with physical function and may serve as a simple, non-invasive indicator for identifying pre-frailty in community settings. However, given its modest discriminative ability, PhA alone may not be sufficient as a standalone screening tool and should be used in combination with other clinical indicators for clinical application.</p>","PeriodicalId":12653,"journal":{"name":"Geriatrics","volume":"11 2","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13115650/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geriatrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/geriatrics11020049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background/Objectives: To evaluate the utility of phase angle (PhA) derived from bioelectrical impedance analysis as a screening indicator for pre-frailty in community-dwelling older adults. Methods: This cross-sectional study included 171 participants (36 men and 135 women) in Japan in 2023. PhA at 50 kHz was measured using bioelectrical impedance analysis and evaluated as a potential screening indicator for pre-frailty. Assessments included body composition, physical function tests (maximum walking speed, Timed Up and Go (TUG), grip strength, knee extension strength, and one-leg stance time with eyes open), cognitive function (MoCA-J), and the Motor Fitness Scale (MFS), a questionnaire assessing physical function, along with the Kihon Checklist (KCL). Frailty status was defined using KCL scores (4-7: pre-frailty; ≥8: frailty), and participants were classified into robust and pre-frail/frail groups. Results: PhA was significantly correlated with physical function measures, including grip strength (r = 0.54, p < 0.01), MFS (r = 0.36, p < 0.01), maximum walking speed (r = 0.20, p < 0.05), knee extension strength (r = 0.16, p < 0.05), and TUG (r = -0.17, p < 0.05). In women, logistic regression analysis showed that PhA was independently associated with pre-frailty (age-adjusted odds ratio: 2.38; 95% CI: 1.08-5.23; p < 0.05). ROC analysis yielded an area under the curve of 0.65 (95% CI: 0.56-0.74), indicating modest discriminative ability. Age-adjusted cutoff values of PhA were 4.19° and 4.74°, corresponding to points prioritizing sensitivity and specificity, respectively. Conclusions: PhA is associated with physical function and may serve as a simple, non-invasive indicator for identifying pre-frailty in community settings. However, given its modest discriminative ability, PhA alone may not be sufficient as a standalone screening tool and should be used in combination with other clinical indicators for clinical application.
期刊介绍:
• Geriatric biology
• Geriatric health services research
• Geriatric medicine research
• Geriatric neurology, stroke, cognition and oncology
• Geriatric surgery
• Geriatric physical functioning, physical health and activity
• Geriatric psychiatry and psychology
• Geriatric nutrition
• Geriatric epidemiology
• Geriatric rehabilitation