METHODS: A total of 401 whole blood samples with a fresh HbA1c measurement were randomly selected from The Malaysian Cohort's (TMC) biobank. The HbA1c measurements of fresh and frozen (stored for 7-8 years) samples were assayed using different high-performance liquid chromatography (HPLC) systems. The HbA1c values of the fresh samples were then calculated and corrected according to the later system. The reproducibility of HbA1c measurements between calculated-fresh and frozen samples was assessed using a Passing-Bablok linear regression model. The Bland-Altman plot was then used to evaluate the concordance of HbA1c values.
RESULTS: The different HPLC systems highly correlated (r = 0.99) and agreed (ICC = 0.96) with each other. Furthermore, the HbA1c measurements for frozen samples strongly correlate with the corrected HbA1c values of the fresh samples (r = 0.875) with a mean difference of -0.02 (SD: -0.38 to 0.38). Although the mean difference is small, discrepancies were observed within the diabetic and non-diabetic samples.
CONCLUSION: These data demonstrate that the HbA1c measurements between fresh and frozen samples are highly correlated and reproducible.
PRACTICAL APPLICATIONS: In general, juice concentrate is a better form of food for transportation, preservation, and ingredient. Models are necessary to predict the effects of processing factors such as concentration and temperature on the rheological behavior of juice concentrates. The modeling approach allows prediction of behaviors and determination of processing parameters. The master curve model introduced in this study simplifies and generalized rheological behavior of juice concentrates over a wide range of concentration when temperature factor is insignificant. The proposed new mathematical model from the combination of the Arrhenius and logistic sigmoidal growth models has improved and extended description of rheological properties of fruit juice concentrates. It also solved problems of negative values of consistency coefficient and flow behavior index prediction using existing model, the Arrhenius equation. These rheological data modeling provide good information for the juice processing and equipment manufacturing needs.
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.
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: The study adopted a cross-sectional design with purposive sampling. Participants who consented and met the criteria for bloating based on the Rome IV classification completed designated questionnaires. Independent variables comprised health beliefs, intentions, health-promoting behaviors, social support, depression, and anxiety, while dependent variables included bloating severity (general and within 24 h) and QoL. Structural Equation Modeling (SEM) was conducted utilizing Mplus 8.0 to analyze the relationships between these factors.
RESULTS: A total of 323 participants, with a mean age of 27.69 years (SD = 11.50), predominantly females (64.7%), volunteered to participate in the study. The final SEM model exhibited good fit based on various indices (CFI = 0.922, SRMR = 0.064, RMSEA (95% CI) = 0.048 (0.041-0.054), p-value = 0.714), with 15 significant path relationships identified. The model explained 12.0% of the variance in severity within 24 h, 6% in general severity, and 53.8% in QoL.
CONCLUSION: The findings underscore the significant influence of health beliefs, intentions, behaviors, social support, depression, and anxiety on symptom severity and QoL in individuals experiencing abdominal bloating.