METHODS: Demographic, clinical and genotype data were determined for 1122 women (267 cases and 855 controls) recruited from the University of Malaya Medical Centre in the Klang Valley, Kuala Lumpur. Relevant articles were identified from Pubmed, Embase, MEDLINE, and Web of Science. Extraction of data was carried out and summary estimates of the association between rs780094 and GDM were examined.
RESULTS: The frequency of risk allele C was significantly higher in the cases than controls (OR 1.34, 95% CI 1.09-1.66, P = 0.006). The C allele was also associated with increased level of random 2-hour fasting plasma glucose and pregravid body mass index. Meta-analysis further confirmed the association of the GCKR rs780094 with GDM (OR 1.32, 95% CI 1.14-1.52, P = 0.0001).
CONCLUSION: This study strongly suggests that GCKR rs780094-C is associated with increased risk of GDM.
METHODS: This cross-sectional study was conducted among 92 nursing students at Universiti Kebangsaan Malaysia (UKM). The Big Five Inventory (BFI), Student Nurse Stress Index and Brief COPE instruments were used to measure the respondents' personality traits, stress level and coping mechanisms, respectively. Data were analysed using IBM SPSS version 26.
RESULTS: The most prevalent personality trait of the students was openness (mean = 33.58). Conscientiousness (r = -0.226, P = 0.030) and neuroticism (r = 0.326, P = 0.002) are significantly related to stress level. Extraversion (r = 0.219, P = 0.036), conscientiousness (r = 0.206, P = 0.049) and openness (r = 0.219, P = 0.036) show significant relationships with the approach coping mechanism, while agreeableness (r = -0.257, P = 0.013) and neuroticism (r = 0.297, P = 0.004) show significant relationships with the avoidant coping mechanism. However, no significant relationship was noted between personality traits and academic performance (r = 1.000, P > 0.05).
CONCLUSION: Knowledge of ones' personality traits may benefit students in understanding themselves and in using the best ways to cope with their stress while studying nursing.
METHODS: Consecutive biopsy-proven NAFLD patients (n = 191) and healthy controls (n = 188) were enrolled and genotyped for HLA-DQA1 and HLA-DQB1 alleles using the sequence-specific oligonucleotide-polymerase chain reaction method.
RESULTS: No association was found between the HLA alleles and NAFLD or NASH in a case-control setting. Nevertheless, among NAFLD patients, the frequency of HLA-DQB1*06 allele was significantly the lowest in NASH with significant fibrosis (10.4%) and approximately similar for NASH without significant fibrosis (22.9%) and NAFL (22.5%) (P = 0.004). It is noteworthy that the association remains significant after correction for multiple comparisons (Pc = 0.04). Multivariate analysis revealed that HLA-DQB1*06 allele is also associated with fibrosis score (P = 0.001); the result remains significant after correction for multiple comparisons.
CONCLUSION: These findings suggest that HLA-DQB1*06 is associated with lower fibrosis score in NAFLD patients.