Phase Angle Differences by Self-Reported Leisure-Time Exercise Frequency and BMI Among Japanese Males Aged 15–17 Years

Background: This cross-sectional study investigated the relationship between leisure-time exercise frequency and physical characteristics such as phase angle (PhA) measured by bioelectrical impedance analysis in high-school boys. Methods: A total of 355 participants completed a questionnaire about their exercise habits outside of physical education classes, and their body size and composition were measured. Exercise frequency was categorized as follows: (1) ≥3 days/week; (2) 1–2 days/week; (3) 1–3 days/month; and (4) never. Participants in group (1) were further subdivided based on whether a single exercise session lasted ≥2 hours. Logistic regression analysis was used to assess the association between exercise frequency categories and age, body mass index (BMI) and PhA. Results: PhA was significantly higher in those exercising ≥1 day/week and, among those exercising ≥3 days/week, in those with longer exercise sessions (P< 0.05, d = 0.45–0.58). No significant differences were observed in height, body mass, BMI, fat mass, or fat-free mass. Logistic regression analysis revealed that PhA was significantly associated with exercise frequency, with an odds ratio of 4.43 (95% confidence interval: 2.87–6.83). These results suggest that self-reported leisure-time exercise frequency and session duration are associated with differences in PhA that may not be apparent from body size or composition. However, BMI was significantly and positively associated with PhA within a similar exercise frequency range. Conclusions: These results suggest that PhA varies between categories of self-reported leisure-time exercise frequency and session duration, while BMI and growth-related factors may complicate the interpretation of these variations.

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Publication Details

Journal
Journal of Kinesiology and Exercise Sciences
Published
2026-10-29
DOI
https://doi.org/10.5604/01.3001.0055.9798
Primary Topic
Body Composition Measurement Techniques
Type
article
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article

Phase Angle Differences by Self-Reported Leisure-Time Exercise Frequency and BMI Among Japanese Males Aged 15–17 Years

Satoki MURAI, Kazushige Oshita, Yujiro Ishihara, Tadashi Uno et al.
2 links
Journal of Kinesiology and Exercise Sciences
Body Composition Measurement Techniques
article

Phase Angle Differences by Self-Reported Leisure-Time Exercise Frequency and BMI Among Japanese Males Aged 15–17 Years

Satoki MURAI, Kazushige Oshita, Yujiro Ishihara, Tadashi Uno, T Horai
article en

Abstract

Background: This cross-sectional study investigated the relationship between leisure-time exercise frequency and physical characteristics such as phase angle (PhA) measured by bioelectrical impedance analysis in high-school boys. Methods: A total of 355 participants completed a questionnaire about their exercise habits outside of physical education classes, and their body size and composition were measured. Exercise frequency was categorized as follows: (1) ≥3 days/week; (2) 1–2 days/week; (3) 1–3 days/month; and (4) never. Participants in group (1) were further subdivided based on whether a single exercise session lasted ≥2 hours. Logistic regression analysis was used to assess the association between exercise frequency categories and age, body mass index (BMI) and PhA. Results: PhA was significantly higher in those exercising ≥1 day/week and, among those exercising ≥3 days/week, in those with longer exercise sessions (P< 0.05, d = 0.45–0.58). No significant differences were observed in height, body mass, BMI, fat mass, or fat-free mass. Logistic regression analysis revealed that PhA was significantly associated with exercise frequency, with an odds ratio of 4.43 (95% confidence interval: 2.87–6.83). These results suggest that self-reported leisure-time exercise frequency and session duration are associated with differences in PhA that may not be apparent from body size or composition. However, BMI was significantly and positively associated with PhA within a similar exercise frequency range. Conclusions: These results suggest that PhA varies between categories of self-reported leisure-time exercise frequency and session duration, while BMI and growth-related factors may complicate the interpretation of these variations.

Journal of Kinesiology and Exercise SciencesVol. 36
Okayama University of Science (JP), Okayama Prefectural University (JP), National Institute of Technology, Suzuka College (JP), Sanyo-Onoda City University (JP)
Good health and well-being
Openalex Percentile: Top 13%
Body Composition Measurement Techniques
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