Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise
Aim: Hydration status monitoring is critical to help those in exercise training to avoid serious dehydration. Bioelectrical impedance analysis (BIA) is a convenient and timely method to monitor body composition in resting conditions. The study obtained bioelectrical impedance (BI) from different seg...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2024-09-01
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| Series: | Advanced Exercise and Health Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950273X24000572 |
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| author | Shuang Wang Pengfei Zhang Yang Hu Yao Zheng Hongyan Yang Jiaheng Zhou Xuyun Liu Jie Xu Hui Li Yang Liu Jia Li Xing Zhang Jing Lou Ling Dong Guiling Wu |
| author_facet | Shuang Wang Pengfei Zhang Yang Hu Yao Zheng Hongyan Yang Jiaheng Zhou Xuyun Liu Jie Xu Hui Li Yang Liu Jia Li Xing Zhang Jing Lou Ling Dong Guiling Wu |
| author_sort | Shuang Wang |
| collection | DOAJ |
| description | Aim: Hydration status monitoring is critical to help those in exercise training to avoid serious dehydration. Bioelectrical impedance analysis (BIA) is a convenient and timely method to monitor body composition in resting conditions. The study obtained bioelectrical impedance (BI) from different segments at multi-frequency before and after exercise aiming to evaluate whether segmental multi-frequency (SMF)-BIA can indicate exercise dehydration in humans. Methods: A total of 43 young adults were recruited. Body weight (BW) and segmental BI at frequencies of 1, 5, 50, 250, 500, and 1000 kHz from each subject were measured before and after each bout of exercise. Hydration status was assessed by body weight loss (BWL), indicated by changes in body weight (ΔBW) and the percentage of body weight change (ΔBW%). Each subject participated in 3 to 4 exercise sessions on different days. Results: A total of 143 pieces of data were collected with various degrees of dehydration: BWL ranging from 0.2–4.2 kg (0.4 %–5.8 %) in participants (aged 24.40 ± 6.47). Correlation analysis revealed that the changes of BI (ΔZ) in arms and legs during exercise were correlated with the BWL. Multivariate regression and machine learning analysis showed that predicted values of dehydration were correlated with true values of dehydration (ΔBW: R2 = 0.4471, R2 = 0.5502; ΔBW%: R2 = 0.4469, R2 = 0.5073). When the diagnosis of dehydration is based on BWL > 1 %: the AUC of the SMF-BIA regression model was 0.7262 (p < 0.001) and the specificity and sensitivity were 85.19 %, 60 %. When the diagnosis of dehydration is based on BWL > 2 %: the AUC of the SMF-BIA regression model was 0.8757 (p < 0.0001) and the specificity and sensitivity were 77.22 %, 81 %. Conclusion: These results suggested that SMF-BIA can indicate exercise dehydration in humans. |
| format | Article |
| id | doaj-art-dc657df8ed0845fd8963af5c0debf3ca |
| institution | OA Journals |
| issn | 2950-273X |
| language | English |
| publishDate | 2024-09-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Advanced Exercise and Health Science |
| spelling | doaj-art-dc657df8ed0845fd8963af5c0debf3ca2025-08-20T02:33:32ZengKeAi Communications Co., Ltd.Advanced Exercise and Health Science2950-273X2024-09-011321121910.1016/j.aehs.2024.09.003Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exerciseShuang Wang0Pengfei Zhang1Yang Hu2Yao Zheng3Hongyan Yang4Jiaheng Zhou5Xuyun Liu6Jie Xu7Hui Li8Yang Liu9Jia Li10Xing Zhang11Jing Lou12Ling Dong13Guiling Wu14The College of Life Sciences, Northwest University, Xi'an, Shaanxi, China; Key Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaSchool of Biomedical Engineering, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaCenter for Mitochondrial Biology and Medicine, The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology and Frontier Institute of Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, ChinaDepartment of Cardiology, 986th Hospital, Air Force Medical University, Xi'an, Shaanxi, ChinaDepartment of Cardiology, 986th Hospital, Air Force Medical University, Xi'an, Shaanxi, ChinaSchool of Biomedical Engineering, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, ChinaKey Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, China; Corresponding authors.Key Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, China; Corresponding authors.Key Laboratory of Ministry of Education, School of Aerospace Medicine, Air Force Medical University, Xi'an, Shaanxi, China; Corresponding authors.Aim: Hydration status monitoring is critical to help those in exercise training to avoid serious dehydration. Bioelectrical impedance analysis (BIA) is a convenient and timely method to monitor body composition in resting conditions. The study obtained bioelectrical impedance (BI) from different segments at multi-frequency before and after exercise aiming to evaluate whether segmental multi-frequency (SMF)-BIA can indicate exercise dehydration in humans. Methods: A total of 43 young adults were recruited. Body weight (BW) and segmental BI at frequencies of 1, 5, 50, 250, 500, and 1000 kHz from each subject were measured before and after each bout of exercise. Hydration status was assessed by body weight loss (BWL), indicated by changes in body weight (ΔBW) and the percentage of body weight change (ΔBW%). Each subject participated in 3 to 4 exercise sessions on different days. Results: A total of 143 pieces of data were collected with various degrees of dehydration: BWL ranging from 0.2–4.2 kg (0.4 %–5.8 %) in participants (aged 24.40 ± 6.47). Correlation analysis revealed that the changes of BI (ΔZ) in arms and legs during exercise were correlated with the BWL. Multivariate regression and machine learning analysis showed that predicted values of dehydration were correlated with true values of dehydration (ΔBW: R2 = 0.4471, R2 = 0.5502; ΔBW%: R2 = 0.4469, R2 = 0.5073). When the diagnosis of dehydration is based on BWL > 1 %: the AUC of the SMF-BIA regression model was 0.7262 (p < 0.001) and the specificity and sensitivity were 85.19 %, 60 %. When the diagnosis of dehydration is based on BWL > 2 %: the AUC of the SMF-BIA regression model was 0.8757 (p < 0.0001) and the specificity and sensitivity were 77.22 %, 81 %. Conclusion: These results suggested that SMF-BIA can indicate exercise dehydration in humans.http://www.sciencedirect.com/science/article/pii/S2950273X24000572ExerciseSegmental multi-frequency bioelectrical impedance analysisDehydration monitoringMachine learning |
| spellingShingle | Shuang Wang Pengfei Zhang Yang Hu Yao Zheng Hongyan Yang Jiaheng Zhou Xuyun Liu Jie Xu Hui Li Yang Liu Jia Li Xing Zhang Jing Lou Ling Dong Guiling Wu Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise Advanced Exercise and Health Science Exercise Segmental multi-frequency bioelectrical impedance analysis Dehydration monitoring Machine learning |
| title | Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise |
| title_full | Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise |
| title_fullStr | Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise |
| title_full_unstemmed | Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise |
| title_short | Segmental multi-frequency bioelectrical impedance analysis indicates dehydration status after exercise |
| title_sort | segmental multi frequency bioelectrical impedance analysis indicates dehydration status after exercise |
| topic | Exercise Segmental multi-frequency bioelectrical impedance analysis Dehydration monitoring Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2950273X24000572 |
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