目的：本研究透過表單式（Google form）的訓練日誌，記錄其內在負荷與外在負荷(訓練距離)等指標的變化，探討青少年田徑中長跑選手 (1)訓練量或訓練距離的改變、(2)身心壓力的增減變化、(3) 自覺努力指標之間的關聯。方法：(1)受試者：新市國中田徑隊中距離跑選手共8名（年齡13.7（±0.90）歲，身高164.0（±8.53）公分，體重49.8（±8.13）公斤。(2) 訓練日誌：每次訓練後，當日填寫線上訓練日誌Google表單，內容包含有：訓練時間、sRPE訓練衝量法（session rating of perceived Exertion, sRPE）、訓練總距離、訓練心情、比賽及測驗成績等。透過選手每次訓練日誌的資訊Google sheets回應，計算每日訓練量（Daily training load）、每週訓練量 (weekly training load) 等。(3) 統計方法：以皮爾遜積差相關分析各個量化指標之間的相關；以多元線性回歸分析各種訓練日誌指標與訓練負荷指標之間的關聯。結果：透過Pearson相關分析顯示，sRPE與運動時間之間的相關係數為(r=.098，p = .012)，sRPE與預估TL之間的相關係數為(r =.781，p <.001)，sRPE與訓練距離之間的相關係數為(r =.402，p <.001)，結果顯示均為顯著正相關。另外，心理狀態與sRPE、預估TL及訓練距離之間達顯著負相關，顯示選手運動訓練距離越長，心理狀態越顯疲勞。而訓練時間與心理狀態無顯著相關，推估訓練時間長短與心理壓力無直接影響。進一步以多元線性迴歸分析顯示，sRPE及訓練時間等兩項指標可有效預測TL。結論：本研究顯示，個人化之訓練日記，可呈現內在負荷與外在負荷在訓練期間的變化，未來可用來進行指標之間的相互對照，配合訓練週期，來監控選手的訓練負荷，也能及時對訓練內容做適當的調整，減少運動傷害的發生。

Purpose:To investigate the relationships in internal load and external load (training distance) indicators of adolescent middle-distance runners. The study utilized a Google Form-based training diary to record the variations in these indicators. The objectives were to examine the relationships among (1) training volume or training distance, (2) the fluctuations in physical and mental stress, and (3) the rating of perceived exertion indices.
Method: (1) Participants: A total of 8 middle-distance runners were included in the study.
(2) Training Diary: Participants completed an online training diary using a Google Form. The diary included information such as training time, sRPE, total training distance, training mood, and performance in competitions and tests.
(3) Statistical Analysis: Pearson's correlation analysis was used to examine the correlations among various quantifiable indicators. Multiple linear regression analysis was employed to assess the associations between different training diary indicators and training load indicators.
Result: Pearson's correlation analysis revealed significant positive correlations between sRPE and exercise duration (r = .098, p = .012), sRPE and estimated training load (TL) (r = .781, p < .001), and sRPE and training distance (r = .402, p < .001). These results indicate a significant positive correlation between sRPE and each of the aforementioned variables. Further linear multi-regression analyses revealed that sREP and exercise duration are significantly correlated with TL.
Conclusion: The study demonstrates that utilizing training diaries recorded with sRPE can effectively capture both internal and external loads. These diaries can be utilized to compare indicators, monitor athletes' training load in accordance with training cycles, and improve overall sports performance. By incorporating personalized training diaries into the monitoring process, coaches and trainers can optimize athletes' training load, leading to enhanced athletic performance.
Keywords: training diary, session rating of perceived exertion (sRPE), training load, training quantification, monitoring.

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