A Study on the Evaluation of College Students' Athletic Fitness Using a Data Model Integrating Traditional Chinese Medicine Constitution Classification and Wrist Wearable Devices
To establish a multidimensional assessment system for college students' motor function and construct a quantitative model. Kinematic and physiological parameters will be collected using a wrist-worn wearable device, combined with active movement task testing, anthropometric measurements, and other relevant health information, to comprehensively assess college students' motor function characteristics, including balance, coordination, endurance, and explosive power.Secondary Objective: To explore the combined effects of motor ability, lifestyle, and traditional Chinese medicine constitution.
調査の概要
状態
条件
詳細な説明
Primary Objective The primary objective of this study is to establish a multidimensional assessment system for motor function in college students and to construct a quantitative assessment model. During standardized active movement tasks, kinematic and physiological parameters will be collected using a wrist-worn wearable device. These data will be combined with the results of motor function tests, anthropometric measurements, and other relevant health information to comprehensively evaluate the motor function characteristics of college students.
The assessment will cover multiple dimensions of motor function, including balance, coordination, endurance, and explosive power. By integrating wearable device-derived parameters with conventional motor function assessment indicators, the study aims to identify key indicators associated with different dimensions of motor ability and to construct a quantitative model for the comprehensive assessment of motor function in college students.
Secondary Objective The secondary objective is to explore the associations among motor ability, lifestyle characteristics, and traditional Chinese medicine (TCM) constitution in college students. Information on lifestyle-related factors, including physical activity, exercise habits, sleep, sedentary behavior, and other relevant health behaviors, as well as TCM constitution characteristics, will be collected.
These data will be analyzed together with multidimensional motor function indicators to investigate the relationships between lifestyle factors, TCM constitution, and different aspects of motor function, and to explore their combined associations with overall motor ability in college students.
研究の種類
入学 (推定)
連絡先と場所
研究連絡先
- 名前：Chao Chen
- 電話番号：86+13580348819
- メール：chenchao@smu.edu.cn
研究場所
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Guangdong
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Guangzhou、Guangdong、中国、510515
- 募集
- Nanfang Hospital, Southern Medical University
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
サンプリング方法
調査対象母集団
Normal individuals aged 18-25 years.
説明
Inclusion Criteria:
- Agree to participate in the study and voluntarily sign the informed consent form;
- Be a university student aged 18-25, gender not limited;
- Be in generally good physical condition and able to complete the exercise tests required for this study;
- Be able to wear the wrist-worn device as required by the study and cooperate in completing questionnaires, physical fitness assessments, and related data collection;
- Have not experienced any acute injuries, serious illnesses, or hospitalizations that would affect daily activities or exercise tests within the past month.
Exclusion Criteria:
- Individuals with severe cardiovascular disease, motor dysfunction, or cognitive impairment.
- Individuals with recent severe trauma or hospitalization who are unsuitable for exercise testing.
- Individuals with a history of congenital spinal deformities or severe flat feet, or other diseases affecting muscles, nerves, or bones.
- Individuals deemed unsuitable for participation in this study by the researchers.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 観測モデル：OTHER
- 時間の展望：CROSS_SECTIONAL
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Wrist-worn IMU- and PPG-derived Kinematic and Physiological Parameters, Including Step Frequency, Peak Acceleration, and Heart Rate Variability
時間枠：Baseline
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Kinematic and physiological parameters will be collected using a wrist-worn device equipped with an inertial measurement unit (IMU) and photoplethysmography (PPG) sensors at a sampling frequency of 200 Hz. The wearable-derived measures will include step frequency, peak acceleration, and heart rate variability indices. Data will be collected during standardized motor tasks, including 10-m walking, paper-ball throwing, a visual stimulus-tapping reaction task, single-leg standing, and plank support, as well as during 24-hour continuous monitoring under free-living conditions. |
Baseline
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Height and Body Weight
時間枠：Baseline
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Height (cm) and body weight (kg) will be measured using a stadiometer and calibrated scale, respectively. |
Baseline
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Demographic Characteristics
時間枠：Baseline
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Demographic information, including age and sex, will be collected using a questionnaire. |
Baseline
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Traditional Chinese Medicine Constitution Classification
時間枠：Baseline
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Traditional Chinese Medicine constitution type will be assessed using the Wang Qi Traditional Chinese Medicine Constitution Questionnaire. Participants will be classified into constitution categories according to the questionnaire scoring criteria. |
Baseline
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Tongue Image Features
時間枠：Baseline
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Digital tongue images will be collected under standardized conditions. Tongue image characteristics, including tongue color, tongue shape, and tongue coating features, will be extracted for analysis. |
Baseline
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協力者と研究者
出版物と役立つリンク
一般刊行物
- Nawaratne R, Alahakoon D, De Silva D, O'Halloran PD, Montoye AH, Staley K, Nicholson M, Kingsley MI. Deep Learning to Predict Energy Expenditure and Activity Intensity in Free Living Conditions using Wrist-specific Accelerometry. J Sports Sci. 2021 Mar;39(6):683-690. doi: 10.1080/02640414.2020.1841394. Epub 2020 Oct 30.
- Culverhouse J, Hillsdon M, Metcalf B, Nunns M, Lear R, Brailey G, Pulsford R. Associations between device-measured physical activity and performance-based physical function outcomes in adults: a systematic review and meta-analysis. BMJ Public Health. 2023 Oct 30;1(1):e100000. doi: 10.1136/bmjph-2023-100000. eCollection 2023 Nov.
- Babu M, Lautman Z, Lin X, Sobota MHB, Snyder MP. Wearable Devices: Implications for Precision Medicine and the Future of Health Care. Annu Rev Med. 2024 Jan 29;75:401-415. doi: 10.1146/annurev-med-052422-020437. Epub 2023 Nov 20.
- Zhang W, Xiong K, Zhu C, Evans R, Zhou L, Podrini C. Promoting child and adolescent health through wearable technology: A systematic review. Digit Health. 2024 Jun 11;10:20552076241260507. doi: 10.1177/20552076241260507. eCollection 2024 Jan-Dec.
- Scott JJ, Rowlands AV, Cliff DP, Morgan PJ, Plotnikoff RC, Lubans DR. Comparability and feasibility of wrist- and hip-worn accelerometers in free-living adolescents. J Sci Med Sport. 2017 Dec;20(12):1101-1106. doi: 10.1016/j.jsams.2017.04.017. Epub 2017 Apr 21.
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- NFEC-2026-414
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
Individual participant data will not be shared at this time due to concerns regarding participant privacy and confidentiality.
医薬品およびデバイス情報、研究文書
米国FDA規制医薬品の研究
米国FDA規制機器製品の研究
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