Effects of Moderate-Intensity Interval Training (MIIT) on Mental Toughness, Sports Motivation, Athlete Burnout, Perceived Stress, Unforced Errors and Performance of Competitive Badminton Players in China

July 3, 2024 updated by: Wu Jiarun
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 Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

171

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Malaysia
    • Kelantan
      • Kota Bharu, Kelantan, Malaysia, 16150
        • Universiti Sains Malaysia

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • 1. Participants were between the ages of 18 to 30

    2. Male or female

    3. At least 3 years' experience in amateur badminton training. This includes current players who are training with the Province badminton team. Or has been selected by the Kunming badminton team in Yunnan Province. Or have participated in domestic or foreign provincial, municipal or higher's competitions.

Exclusion Criteria:

- 1. Participants who are currently injured. 2. Participants who have not participated in any provincial badminton competition.

3. Participants who refuse to give consent to participate in the study.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Moderate-Intensity Interval Training (MIIT)
Moderate-Intensity Interval Training (MIIT) is developed by university badminton coaches
Behavioral: Moderate-Intensity Interval Training (MIIT)
Moderate-Intensity Interval Training (MIIT) is developed by university badminton coaches, three times a week for 12 weeks
Experimental: High-Intensity Interval Training (HIIT)
High-Intensity Interval Training (HIIT) is developed by university badminton coaches
Behavioral: High-Intensity Interval Training (HIIT)
High-Intensity Interval Training (HIIT) is developed by university badminton coaches, three times a week for 12 weeks

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Reduce the error rate of badminton players
Time Frame: week 12
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
week 12

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from mental toughness questionnaire (MTQ)
Time Frame: week 12
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.
week 12
Change from athlete burnout questionnaire (ABQ)
Time Frame: week 12
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.
week 12
Change from sport motivation scale-6 (SMS-6）
Time Frame: week 12
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.
week 12
Change from Perceived Stress Questionnaire（PSQ）
Time Frame: week 12
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.
week 12
Heart rate variability (HRV) Heart rate variability (HRV)
Time Frame: week 12
HRV data were collected using a heart rate variability (HRV) analyser.
week 12
Blood oxygen saturation (SaO2)
Time Frame: week 12
Blood oxygen saturation (SaO2) data were collected using an oxygen saturation tester.
week 12

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Wu Jiarun

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 1, 2024

Primary Completion (Actual)

May 23, 2024

Study Completion (Actual)

May 23, 2024

Study Registration Dates

First Submitted

July 3, 2024

First Submitted That Met QC Criteria

July 3, 2024

First Posted (Actual)

July 11, 2024

Study Record Updates

Last Update Posted (Actual)

July 11, 2024

Last Update Submitted That Met QC Criteria

July 3, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • Li Chongwei

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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