METHODS AND STUDY DESIGN: A cross-sectional study was conducted on 112 healthy men and women from 3 main ethnic group (Malay, Chinese, and Indian) who were aged 18-60 years. The participants were categorized into normal body mass index (BMI), overweight and obese groups according to WHO criteria for BMI in Asian populations (18.5 kg/m2
METHODS AND STUDY DESIGN: Demographics, anthropometric measurements and menstrual history were taken. Hedonic preference, intake frequency of a list of sweet foods, intensity perception and pleasantness ratings of sweet stimuli were assessed. Saliva was collected for lactobacilli and mutans streptococci culture.
RESULTS: We found that centrally obese subjects (high waist circumference and waist-hip ratio) had significantly higher salivary lactobacilli and mutans streptococci counts (all p<0.05), while overweight and high total body fat subjects had significantly higher salivary mutans streptococci counts (p<0.001). The sweetness intensity perception of chocolate malt drinks was significantly lower in women who were in their pre-menstrual (post-ovulation) phase. However, menstruation variables (menstrual phases, regularity and pre-menstrual syndromes) did not play a role in determining compulsive eating, sweets/chocolate craving and salivary lactobacilli and mutans streptococci counts.
CONCLUSIONS: Taken together, salivary lactobacilli and mutans streptococci counts of the Malaysian women are associated with central obesity, but not sweet food eating behaviour, sweet sensitivity and menstruation variables. Salivary microbiome analysis could be useful as a potential diagnostic indicator of diseases such as obesity.
METHODS AND STUDY DESIGN: This is a cross-sectional study and a total of 408 primary school-aged children (male: 72.3%; female: 27.7%), with a mean age of 9.68±1.48 years, were recruited from 10 urban-poor flats through cluster sampling at the central region of Malaysia. Their anthropometry, nutrition knowledge, attitude and practice, physical activity, dietary practices, and HRQoL were assessed.
RESULTS: A quarter (24.5%) of the urban-poor children were either overweight or obese in the present study. The HRQoL total score among the urban-poor children was 65.0±18.5. The result of multiple linear regression analysis shown that higher nutrition attitude (B=0.34, p=0.001) and practices (B=0.39, p=0.001), higher physical activity (B=3.73, p=0.004), higher lunch intake (B=1.35, p<0.001), lower supper intake (B=-1.35, p<0.001), and lower fast-food intake (B=-1.61, -1.17, p<0.001) are the significant predictors of better HRQoL among the urban-poor children (R2=0.32, F(8,399)=23.72, p<0.001).
CONCLUSIONS: Future studies should focus on these predictors to formulate interventions that could enhance the HRQoL among the Malaysian urban-poor children.