METHODS: A total of 607 Malay pupils, comprising 240 (39.5%) boys and 367 (60.5%) girls aged between 10 and 11, were recruited from 10 schools to answer the questionnaire, which measured their views on 24 items through a five-point Likert scale. The AEQ-PE was translated into Malay language (AEQ-PE-M) using forwarding to backward translation techniques. Certain phrases were adopted in accordance with the local culture and vocabulary appropriate for primary school pupils. CFA was performed using the Mplus 8.0 software, and the final model demonstrated high reliability in terms of the composite reliability and Cronbach's alpha.
RESULTS: Analysis of the CFA showed an acceptable fit indices in CFI (0.936), TLI (0.926), RMSEA = 0.039 (90% CI, 0.034, 0.045) and SRMR (0.049) of the AEQ-PE measurement model. All of the items in the original AEQ-PE version were retained and deemed suitable for Malay primary school pupils.
CONCLUSION: The AEQ-PE-M with 24 items was a suitable tool for measuring the level of school children's involvement in determining achievement emotions and their motivation towards physical education.
METHODS: A comprehensive literature search was conducted between January 2020 and December 2022 using online databases such as PubMed, Web of Science, Scopus, and Google Scholar by using the following keywords in combination: "COVID-19," "stress," "anxiety," "depression," and "intervention." The retrieved literature was screened and reviewed.
RESULTS: A total of 2,924 articles were retrieved using subject and keyword searches. After screening through the titles and abstracts, 18 related studies were retained. Their review revealed that: (1) most studies did not use medication to control stress and anxiety; (2) the standard methods used to reduce stress and anxiety were religion, psychological counseling, learning more about COVID-19 through the media, online mindfulness courses, improving sleep quality, and physical exercise; (3) the most effective interventions were physical activity and raising awareness about COVID-19 through the media and online mindfulness programs. However, some studies show that physical activity cannot directly relieve psychological stress and anxiety.
CONCLUSION: Limited interventions are effective, but learning more about COVID-19 and using active coping strategies may help reduce stress and anxiety. The implications of COVID-19 are also discussed.
METHOD: All participants were recruited from the Hospital Universiti Sains Malaysia using a cross-sectional study design with purposive) sampling method. A total of 331 participants were recruited for the present study. Before participation in the study, they were informed that participation in the study was totally voluntary. Those who agreed to participate voluntarily were required to complete the self-administered questionnaire set, which included the processes of change, decisional balance, exercise self-efficacy, physical activity and leisure motivation, and international physical activity questionnaires. Data analysis of structural equation modeling was performed using Mplus 8.
RESULTS: From the 331 participants, most of whom were male (52%) and Malay (89.4%), with a mean age of 62.6 years (standard deviation = 10.29). The final structural equation model fit the data well based on several fit indices [Root Mean Square Error of Approximation (RMSEA) = 0.059, Comparative Fit Index (CFI) = 0.953, Tucker-Lewis Index (TLI) = 0.925, Standardized Root Mean Square Residual (SRMR) = 0.031]. A total of 16 significant path relationships linked between the TTM, motives for PA, and amount of PA.
CONCLUSION: The pros of decisional balance, others' expectations, and psychological condition were constructs that directly affected PA, whereas the other constructs had a significant indirect relationship with the amount of PA. A positive mindset is crucial in deciding a behavioral change toward an active lifestyle in people with T2DM.
METHODS: University students from Jiangsu Province participated in this study. Participants completed self-report surveys assessing emotion regulation strategies. It was conducted from May 2022 to July 2022. The study employed confirmatory factor analysis (CFA) to assess the two-factor model of ERQ-8 and measurement invariance across male and female samples.
RESULTS: The mean age of 1534 participants was 19.83 years (SD = 1.54), and the majority were female (70.4%). The initial ERQ-10 model with ten items demonstrated good fit for all indicators, CFI (Comparative Fit index) = 0.967, TLI (Tucker-Lewis Index) = 0.957, RMSEA (Root Mean Square Error of Approximation) = 0.043, SRMR (Standardised Root Mean Square Residual) = 0.029. However, to assess the fit of the previously proposed ERQ-8 model, two items (Q1 and Q3) were excluded. The fit of the ERQ-8 model was further improved (CFI = 0.989, TLI = 0.984, RMSEA = 0.029, SRMR = 0.021). All item loadings exceeded or were equal to 0.573. Internal consistency analysis based on the ERQ-8 model revealed Cronbach's alpha values of 0.840 for reappraisal and 0.745 for suppression, and corresponding composite reliability (CR) values of 0.846 and 0.747, respectively. Test-retest reliability, assessed using the intraclass correlation coefficient (ICC) (95% CI) within a one-week interval, ranged from 0.537 to 0.679. The correlation coefficient between the two factors was 0.084, significantly below 0.85, which suggested a low correlation between the two factors. The results of the invariance analysis across gender demonstrated that the values of ΔCFI and ΔTLI were both below 0.01. It was supported the gender invariance of the ERQ-8 among university students.
CONCLUSION: The eight-item ERQ demonstrated validity and reliability in evaluating emotion regulation strategies, and measurement invariance was observed across gender among university students. The ERQ-8 may prove to be a practical and cost-effective tool, particularly in time-constrained situations.
METHODS: A cross-sectional study was conducted on two primary and two secondary schools in central China. The ESE scale was translated into Chinese (ESE-C) using the standard forward-backward translation method. Data were analyzed using Mplus 8 for the CFA.
RESULTS: The final model showed a satisfactory level of goodness-of-fit (CFI = 0.918; TLI = 0.905; SRMR = 0.043; RMSEA = 0.066), indicating a good construct validity of the ESE-C for children and adolescents in mainland China. Furthermore, the final ESE-C model achieved composite reliability values of 0.963 and average variance extraction values of 0.597, indicating sufficient convergent and discriminant validity. Besides, the Cronbach's alpha value was 0.964, demonstrating excellent internal consistency of the ESE-C scale.
CONCLUSION: The ESE-C scale is a valid instrument for assessing exercise self-efficacy among children and adolescents in mainland China.
Methods: The participants were 381 Malay students (188 male; 193 female), aged 10-12 years old, with a mean age of 10.94 (SD = 0.81). The original version of the TTM was translated into the Malay language using forward and backward translation. Certain phrases were adapted based on the local culture and vocabulary suitable for primary school students.
Results: The final measurement models and their fit indices were: processes of change (CFI = 0.939, TLI = 0.925, SRMR = 0.040, RMSEA = 0.030); decisional balance (CFI = 0.897, TLI = 0.864, SRMR = 0.045, RMSEA = 0.038); and self-efficacy (CFI = 0.934, TLI = 0.915, SRMR = 0.042, RMSEA = 0.032).
Conclusion: Care must be taken when using the TTM with children, as it has been prevalently validated with adults. The final version of the TTM questionnaire for Malay primary school children had 24 items for process of changes, 13 items for self-efficacy and 10 items for decisional balance.
Methods: The participants were university students at USM's Health Campus, who were invited to volunteer and complete two measures: a demographic form, including the types of co-curricular activities in which the students chose to enrol (sports, uniform and art), and the Physical Activity and Leisure Motivation Scale (PALMS).
Results: A total of 588 university students (female = 79.1%, male = 20.9%) with a mean age of 19.77 (SD = 1.39) participated in the study. The results showed significant differences in the motives of affiliation (P < 0.001), appearance (P = 0.008) and physical condition (P = 0.010) across the types of co-curricular activities in which the students participated. The students who enrolled in sports generally showed higher motives of affiliation, appearance and physical condition for participating in PA than other types of co-curricular activities.
Conclusion: The study findings can provide further insights into the motives for participating in PA among health sciences students and encouragement for students to integrate PA into their daily routines.
METHODS: The theory of planned behaviour (TPB) was employed to explore the factors that influence the management of adults with AB, namely health beliefs and intentions. An interview guide was developed by adapting the TPB and the findings of prior studies concerning the factors associated with AB management. All eligible participants took part in in-depth interviews.
RESULTS: The mean age of the participants was 32.5 years old (standard deviation [SD] = 14.19 years old) and the majority of participants were female (58.3%). The themes and sub-themes that emerged following the application of the TPB framework represented the qualitative results of this study, which indicated that the health beliefs, intentions and health-promoting behaviours observed among people with AB were closely related.
CONCLUSION: The findings of this study suggest that the adoption of a healthy lifestyle could be an effective means of improving AB. Thus, it is vital to implement a health education programme that promotes health-related beliefs and intentions in order to trigger health-promoting behaviour among people with AB.
METHODS: A software-assisted method using E-Prime 2.0 was used to create an experiment. The participants were Malay adolescents aged 13 years old-15 years old. The conventional method was compared with the software-assisted method to assess the participants' comprehension and production performance. Data on reaction time (RT), scoring and no response (NR) were obtained from the adolescents.
RESULTS: Based on the two methods, the findings on the selection of participants for the SLI and TD groups was different. The two methods produced similar results in terms of the selection of TD group and most participants in the syntactic SLI group except for two participants who failed in the conventional method but passed the test in the software-assisted method.
CONCLUSION: The descriptive evaluation of the findings suggested selecting software-assisted method as the alternative source because the provided information was detailed and this information enabled the researcher to identify the SLI group.
METHODS: The study was a cross-sectional survey using data from multinational badminton federations. The study participants were athletes registered in the Para Badminton Classification Master List of the Badminton World Federation (BWF). The main study outcome is the WHO Quality of Life-Disability Questionnaire (WHOQOL-DIS).
RESULTS: There were 1,385 (aged 36 years old, IQR 18 years old) registrants on the master list. Respondents totaled 170. Only 137 (65% were males) were included in the analysis after excluding those with missing data (Europe 40%, Asia 30%, others 30%). Following the results of factor analysis, the original Athletic Identity Measure Scale (AIMS) was separated into self-identity (SI) and AIMS-modified. SI, AIMS-modified, the BRS and the Satisfaction with Life Scale (SWLS) were all scored above average. The AIMS-modified scores of Europeans were significantly lower than those of other non-Asians (U = 757.000, P < 0.05). BRS was statistically higher among those with acquired disabilities (median: 3.33) compared to those with congenital disabilities (median: 3.0) (U = 1,717.000, Z = -2.711, P < 0.05) and among Europeans (median: 3.3) compared to Asians (median: 3.0) (U = 704.500, P < 0.05). The regression model explained 32% of the variability in quality of life (QOL) with five significant predictors. The SWLS (β = 0.307, P = 0.01), BRS (β = 0.269, P = 0.01), full-time employment (β = 0.191, P = 0.05) and being female (β = 0.162, P = 0.05) all had a positive effect on QOL, but not the AIMS (-0.228, P = 0.05).
CONCLUSION: The results show that the athletes' resilience, satisfaction with life and identity vary across regions. Furthermore, satisfaction with life, employment and gender were found to be significant predictors of athletes' QOL.
METHOD: We conducted a cross-sectional study in which we used purposive sampling and a self-administered questionnaire. Based on the literature review, experts' input and in-depth interviews, new items were generated for SS-Bloat scale. Content validity was assessed by experts and pre-tested with 30 individuals with AB. Construct validity was determined based on exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Reliability was determined based on Cronbach's alpha and composite reliability (CR).
RESULTS: During the development stage, eight items were generated for SS-Bloat scale and remained the same after content validity and pre-testing. A total of 152 participants with a mean age of 31.27 years old (68.3% female, 32.7% male) completed the questionnaire. Based on the EFA, three problematic items were removed. The total variance explained was 35.6% with acceptable reliability (α = 0.66). The model was then tested using CFA. The initial model did not fit the data well. After several model re-specifications, the final measurement model of SS-Bloat scale fit the data well with acceptable fit indices (comparative fit index [CFI] = 0.994 and Tucker-Lewis index [TLI] = 0.984). The CR was satisfactory with value of 0.84.
CONCLUSION: SS-Bloat scale was deemed valid and reliable for assessing the level of social support among AB patients. The questionnaire can be useful for both research studies and clinical purposes, as it is easy to use.
METHODS: A cross-sectional survey was conducted among the coaches and athletes in Malaysia. Data were collected using a convenience sampling approach over a 6-month period. The study was carried out in two phases using two independent samples of coaches and athletes to assess the construct validity and internal consistency of the Malay version of the CART-Q. The CART-Q consisted of 11 items measuring three constructs: i) closeness (four items), ii) commitment (three items) and iii) complementarity (four items). In phase 1, the subjects consisted of 211 coaches (21 years old-65 years old) from both sexes and from individual and team sports, ranging from levels 1 to 5. In phase 2, the subjects consisted of 362 athletes (12 years old-39 years old), also from both sexes and from individual and team sports. The statistical analyses performed included confirmatory factor analysis (CFA) to validate the translated version scale, composite reliability (CR), average variance extracted (AVE) and internal consistency (Cronbach's alpha).
RESULTS: In phase 1, the sample of coaches, with 190 males (90.0%) and 21 females (10.0%), had a mean age of 38.6 (SD = 8.74) years old. The major sport type was archery (19.0%). The CFA revealed adequate fit indices with all 11 items retained (root mean square error of approximation [RMSEA] = 0.059, comparative fit index [CFI] = 0.964, Tucker and Lewis Index [TLI] = 0.950, standardised root mean square residual [SRMR] = 0.037). The CR values were closeness = 0.874, commitment = 0.566 and complementarity = 0.757. The AVE values were closeness = 0.357, commitment = 0.194 and complementarity = 0.275. The Cronbach's alpha values were closeness = 0.867, commitment = 0.553 and complementarity = 0.794. In phase 2, the sample of athletes, with 175 males (48.1%) and 189 females (51.9%), had a mean age of 20.2 (SD = 3.35) years old. The major sport type was archery (11.5%). The CFA revealed satisfactory fit indices with all 11 items retained (RMSEA = 0.092, CFI = 0.948, TLI = 0.924, SRMR =.038). The CR values were closeness = 0.893, commitment = 0.786 and complementarity = 0.949. The AVE values were closeness = 0.401, commitment = 0.253 and complementarity = 0.418. The Cronbach's alpha values were closeness = 0.900, commitment = 0.772 and complementarity = 0.900.
CONCLUSION: Overall, the study findings supported the conclusion that the Malay version of the CART-Q has adequate psychometric properties to assess the perceptions of coaches and athletes regarding their relationship.