METHODS: A total of 604 adolescent basketball players, comprising 301 (49.8%) males and 303 (50.2%) females aged between 12 and 19 (M = 15.53, SD = 1.42), were recruited from secondary schools across 17 cities in Shandong Province, China, to answer the questionnaire, which measured their views on 29 items through a six-point Likert scale. The SSS was translated into Chinese language (SSS-C) using forward-backward translation techniques. Confirmatory Factor Analysis (CFA) was performed using Mplus 8.0 software to assess the structural validity of SSS-C. The reliability and convergent validity were also evaluated.
RESULTS: CFA results demonstrated an excellent fit to the hypothesized six-factor model based on the fit indices (CFI = 0.997, TLI = 0.997, RMSEA = 0.016 [90% CI: 0.005, 0.022], SRMR = 0.018). All items displayed significant factor loadings above 0.40, supporting the robustness of the model. The SSS-C exhibited high internal consistency reliability (Cronbach's α ranged from 0.95 to 0.96; Composite Reliability ranged from 0.95 to 0.96) and strong convergent validity (Average Variance Extracted values > 0.50).
CONCLUSION: The SSS-C with 29 items was a valid and reliable instrument for comprehensively assessing sport success among Chinese adolescent athletes. The multidimensional approach of the SSS-C provides a new perspective for understanding the psychological factors contributing to athletes' success, which can inform the development of targeted interventions.
Method: A cross-sectional study design with a convenience sampling method using a self-administered questionnaire was carried out. University undergraduate students were approached to fill in the questionnaire, which consisted of demographic information and a POC scale. The POC scale consisted of 30 items and two main factors (i.e., cognitive and behavioural). The POC scale was translated into the Malay language using a standard procedure of forward and backward translation. Confirmatory factor analysis (CFA) was performed, and composite reliability was computed using Mplus version 8.
Results: A total of 620 respondents with a mean age of 20 years (standard deviation = 1.15) completed the questionnaire. Most of the participants were female (74.7%) and Malay (78.2%). The initial CFA model of the POC scale did not exhibit fit based on several fit indices (comparative fit index (CFI) = 0.880, Tucker Lewis index (TLI) = 0.867, standardised root mean square residual (SRMR) = 0.075 and root mean square error of approximation (RMSEA) = 0.058). Several re-specifications of the model were conducted and the modification included adding correlation between the items' residuals. The final model for the Malay version of the POC scale showed acceptable values of model fit indices (CFI = 0.922, TLI = 0.911, SRMR = 0.064 and RMSEA = 0.048). The composite reliability of both the cognitive and behavioural processes was acceptable at 0.856 and 0.752, respectively.
Conclusion: The final model presented acceptable values of the goodness of fit indices, indicating that the scale is fit and acceptable to be adopted for future study.
Methods: Ten males recreational runners were randomised to three running trials with a 1 week recovery period between the trials. Each trial involved running at 75% maximum heart rate (HRmax) for 1 h, followed by a 15 min time trial. The participants used a CHO mouth rinse, placebo (PLA) solution or control (CON, no solution) every 15 min during the exercise. Heart rate (HR), rating of perceived exertion (RPE) and mood states were recorded pre-, during and post-exercise. Saliva samples were collected pre-, post- and 1 h post-exercise.
Results: There was no significant interaction and time effect (P > 0.05) on the salivary lysozyme concentration and running performance, but it was significant (P < 0.05) for HR and RPE (increase in all trials). However, there was no significant difference (P > 0.05) in salivary lysozyme concentrations, running performances, HR values or RPE between the trials. Mood states were not significantly different (P > 0.05) between the trials, but one of the mood sub-scales showed a significant (P < 0.001) time effect (increase fatigue in all trials).
Conclusion: CHO mouth rinsing did not affect physiological parameters, salivary lysozyme concentrations, mood states or running performance among recreational runners.
Methods: A cross-sectional study was conducted among the undergraduate students using a self-administered questionnaire. After using a purposive sampling method, 562 students completed the questionnaire. Mplus 8 was employed to conduct the confirmatory factor analysis on the psychometric properties of Bandura's 18-item SE scale with three factors (internal feeling, competing demands and situational). Then, the composite reliability was calculated for each factor.
Results: Most of the students were Malay (73.3%) females (79.0%) who exercised 2.62 times a week for an average of 43.37 min per session. The final measurement model was obtained after removing six problematic items, and the model was deemed fit based on several indices [Root Mean Square Error of Approximation (RMSEA) = 0.067, Standardised Root Mean Square Residual (SRMR) = 0.004, Comparative Fit Index (CFI) = 0.924]. The composite reliability values of the three factors were acceptable (0.65 to 0.84).
Conclusion: The simplified 12-item SE scale with three factors displayed good fit indices with regard to the data, and they were considered to be acceptable for the current sample.
Methods: The original English version of the GCEQ underwent forward and backward translation into the Malay language. A cross-sectional study was conducted. The finalised Malay version was administered to 674 undergraduate students at the Health Campus of the Universiti Sains Malaysia (USM) with a mean age of 20.27 years (SD = 1.35 years). Confirmatory factor analysis (CFA) was conducted for the psychometric evaluation.
Results: The measurement model consisted of 20 observed items and five latent factors. CFA demonstrated adequate fit to the data: comparative fit index = 0.929; standardised root mean square residual = 0.052; root mean square error of approximation = 0.061 (90% CI = 0.056, 0.067). The composite reliability coefficients for the five latent factors ranged from 0.777 to 0.851. All the correlations between the factors were less than 0.85, so discriminant validity was achieved.
Conclusion: The findings suggested that the Malay version of the GCEQ is valid and reliable for assessing goal content in the exercise context of undergraduates at the Health Campus, USM.
METHODS: The participants consisted of 304 Chinese secondary school students (males = 165, females = 139) with a mean age of 13.55 years old (SD = 0.57) who volunteered to complete three measures, consisting of a demographic information form, the physical activity and leisure motivation scale for youth-Chinese version (PALMS-Y-C) and the Godin leisure-time exercise questionnaire-Chinese version (GLTEQ-C).
RESULTS: There were significant positive correlations between all the seven PA participation motives with amount of exercise (Enjoyment: r = 0.16, P = 0.010; Mastery: r = 0.23, P < 0.001; Competition: r = 0.21, P = 0.001; Affiliation: r = 0.22, P < 0.001; Psychological condition: r = 0.26, P < 0.001; Appearance: r = 0.20, P = 0.001; Physical condition: r = 0.20, P = 0.001). There were also significant mean differences among sweating exercise frequency categories in all the seven areas of PA participation motives (Enjoyment: P = 0.003, Mastery: P < 0.001, Competition: P = 0.001, Affiliation: P = 0.001, Psychological condition: P = 0.038, Appearance = 0.002, Physical condition: P = 0.004).
CONCLUSION: The present study provided insight into how to promote PA in Kelantan Chinese school-aged children by specifically targeting their motives. Interventions targeting these motives could increase the amount of PA among Kelantan Chinese youths.