The objective of this observational study was to assess whether moderate intensity training (MIIT) intervention has positive effects on Mental Toughness, Sports Motivation, Athlete Burnout and Perceived Stress of badminton players in Yunnan Province. And reduce the error rate of badminton players
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
171
Moderate-Intensity Interval Training (MIIT) is developed by university badminton coaches, three times a week for 12 weeks
High-Intensity Interval Training (HIIT) is developed by university badminton coaches, three times a week for 12 weeks
Universiti Sains Malaysia
Kota Bharu, Kelantan, Malaysia
Reduce the error rate of badminton players
The error rate will be recorded by a professional video camera team, recorded and counted by the teaching assistant team, and calculated and analyzed by the head coach
Time frame: week 12
Change from mental toughness questionnaire (MTQ)
Sports Mental Toughness Questionnaire (SMTQ; Clifford et al., 2007) consisted of 14 questions to assess the three dimensions of confidence, persistence and control, and was scored using the 4-point Likert scale. The results of confirmatory factor analysis (CFA) show that the model fits well, and the specific indicators are as follows: Chi-square value χ² = 120.50, df = 71, p \< 0.001, comparative fitting index (CFI) was 0.93, value-added fitting index (TLI) was 0.91, root mean square approximation (RMSEA) was 0.05, and standardized mean square residual (SRMR) was 0.06. These results indicate that SMTQ has good structural validity and reliability, and is suitable for evaluating the mental toughness of athletes.
Time frame: week 12
Change from athlete burnout questionnaire (ABQ)
Athlete Burnout Questionnaire (ABQ; Marie et al., 2010) consisted of 15 questions assessing three dimensions of emotional and physical exhaustion, reduced exercise value, and exercise isolation using a 5-point Likert scale. The results of confirmatory factor analysis (CFA) show that the model fits well, and the specific indicators are as follows: Chi-square value χ² = 178.30, df = 87, p \< 0.001, comparative fitting index (CFI) was 0.92, value-added fitting index (TLI) was 0.90, root mean square approximation (RMSEA) was 0.06, and standardized mean square residual (SRMR) was 0.05. These results indicate that ABQ has good structural validity and reliability and is suitable for evaluating the degree of burnout in athletes.
Time frame: week 12
Change from sport motivation scale-6 (SMS-6)
Sport Motivation Scale-6 (SMS-6; Mallet et al., 2007) consisted of 24 questions assessing three main dimensions: intrinsic motivation, extrinsic motivation, and unmotivation, scored using a 7-point Likert scale. The total Cronbach's Alpha value of the questionnaire was 0.85. The results of confirmatory factor analysis (CFA) showed that the model was well fitted, with specific indicators as follows: Chi-square value χ² = 320.75, df = 216, p \< 0.001, comparative fitting index (CFI) was 0.93, value-added fitting index (TLI) was 0.92, and root-mean-square error approximation (RMSEA) was 0.05. These results indicate that SMS-6 has good structural validity and reliability and is suitable for evaluating athletes' motivation.
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Time frame: week 12
Change from Perceived Stress Questionnaire(PSQ)
Perceived Stress Questionnaire (PSQ; Sanz et al., 2001) consisted of 30 questions to assess subjective feelings of stress, scored using a 4-point Likert scale. The results of confirmatory factor analysis (CFA) show that the model fits well, and the specific indicators are as follows: Chi-square value χ² = 450.65, df = 400, p \< 0.001, comparative fitting index (CFI) was 0.91, value-added fitting index (TLI) was 0.90, root mean square approximation (RMSEA) was 0.04, and standardized mean square residual (SRMR) was 0.05. These results indicate that PSQ has good structural validity and reliability, and is suitable for assessing the subjective stress perception of individuals.
Time frame: week 12
Heart rate variability (HRV) Heart rate variability (HRV)
HRV data were collected using a heart rate variability (HRV) analyser.
Time frame: week 12
Blood oxygen saturation (SaO2)
Blood oxygen saturation (SaO2) data were collected using an oxygen saturation tester.
Time frame: week 12