Relationship between Phase Angle and Physical Activity Intensity among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study

Author:

Nakashima Daiki1ORCID,Fujii Keisuke2ORCID,Tsubouchi Yoshihito1,Kubo Yuta3ORCID,Yorozuya Kyosuke3ORCID,Noritake Kento4ORCID,Tomiyama Naoki3ORCID,Tsujishita Soma5ORCID,Iitsuka Terufumi1ORCID

Affiliation:

1. Department of Rehabilitation, Faculty of Health Science, Naragakuen University, 3-15-1, Nakatomigaoka, Nara 631-8524, Nara, Japan

2. Department of Rehabilitation Occupational Therapy Course, Faculty of Health Science, Suzuka University of Medical Science, 1001-1, Kishioka, Suzuka 510-0293, Mie, Japan

3. Division of Occupational Therapy, Faculty of Rehabilitation and Care, Seijoh University, 2-172 Fukinodai, Tokai 476-8588, Aichi, Japan

4. Department of Rehabilitation, Faculty of Health Sciences, Nihon Fukushi University, Higashihaemi, Handa 475-0012, Aichi, Japan

5. Division of Physical Therapy, Faculty of Rehabilitation and Care, Kobe International University, 9-1-6 Kouyou, Higashinada, Kobe 658-0032, Hyogo, Japan

Abstract

This cross-sectional study aimed to determine the association between phase angle (PhA) and physical activity intensity in community-dwelling older Japanese adults. The intensity and time of physical activity for predicting high PhA were also examined. This study involved 67 community-dwelling older adults (mean age: 78.3 ± 5.5; female: 83.6%). We measured the physical activity and body composition of the participants. Physical activity was measured using a triaxial accelerometer, and light-intensity physical activity (LPA) and moderate-to-vigorous intensity physical activity (MVPA) hours per day were calculated from the results. Body composition was measured using Inbody S10, and the PhA was calculated from the measurements of the right side of the body. Bayesian statistical modeling revealed an association between PhA and MVPA (β = 0.256; p = 0.022; 95% Bayesian confidence interval [CI] = 0.001, 0.012), but not LPA (β = −0.113; p = 0.341; 95% Bayesian CI = −0.002, 0.001), even after adjustment for confounders. The cutoff value of MVPA predicting high PhA, calculated by the receiver operator characteristic curve, was 19.7 min/d (sensitivity = 0.906; specificity = 0.429). These results can be used to develop strategies to increase PhA in older adults and suggest that MVPA is important in this population.

Funder

graduate schools of Naragaluen University

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference55 articles.

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4. von Loeffelholz, C., and Birkenfeld, A.L. (2023, November 15). Non-Exercise Activity Thermogenesis in Human Energy Homeostasis. Endotext [Internet], Available online: https://www.ncbi.nlm.nih.gov/books/NBK279077/.

5. Bioelectrical phase angle values in a clinical sample of ambulatory rehabilitation patients;Gunn;Dyn. Med.,2008

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