ABSTRACT
@#Introduction: Evidence showed considerable variability of health risk factors within different socioeconomic groups. This study aimed to characterise dietary intakes by total household income among a sample of Malaysian pre-adolescents in urban Kuala Lumpur. Methods: Baseline data of 243 healthy, pre-adolescent children between 9 and 11 years old including socio-demographic background (gender, ethnicity, and total household monthly income), anthropometry (body weight and height), and 7-day diet histories were collected. Secondary analysis was performed on dietary intakes to quantify food groups based on the Malaysian Dietary Guidelines and NOVA classification systems besides nutrients. Differences and associations between total monthly household income categories with anthropometry and dietary intakes were tested using independent t-test/Mann-Whitney U (depending on normality) and chi-square tests, respectively. Results: Most children in this study population had dietary intakes below the recommended serving sizes for five food groups, except meat/poultry (195.2±107.2%) and fish (110.1±106.3%) and consumed about 32% of energy from ultra-processed foods (NOVA food group 4). While there was no difference in dietary intake between the bottom 40% with the middle 40% and high 20% household income groups, the percentage of energy contributed by NOVA food group 4 (processed fats/oils, condiments, and sauces) was higher in the bottom 40% households (p=0.024). Conclusion: Most pre-adolescent children in this study, regardless of household income, did not meet dietary recommendations and ate diets comprised of less nutritious foods. Comprehensive approaches that aim to improve dietary patterns and reduce the risk of diet-related chronic diseases are warranted.
ABSTRACT
@#Introduction: Good health literacy and knowledge are associated with improved outcomes in diabetes. The purpose of this study was to determine diabetes-specific literacy and knowledge levels, and its associated socio-demographic factors, among adults with type 2 diabetes mellitus (T2DM). Methods: This cross-sectional study was conducted among 196 adults from the Indian, Chinese, and Malay ethnic groups with T2DM who attended a primary care clinic in Seremban, Malaysia. The Literacy Assessment for Diabetes and Diabetes Knowledge Test 2 were used to assess diabetes-specific literacy and knowledge, respectively. Results: The majority of participants (75.0%) had literacy scores that corresponded to Ninth Grade Level but only 3.6% of participants had a good knowledge of diabetes. Literacy scores explained up to 19.8% of the variance in knowledge scores (r=0.445, p<0.01). Indian participants had the lowest literacy and knowledge scores when compared to Chinese and Malays (p<0.05). Participants with higher education had better literacy and knowledge scores (p<0.05). Educational level was more likely than ethnicity to predict both literacy and knowledge scores (p<0.001), while gender and age did not significantly predict either score. The majority of participants could answer general questions about physical activity, diabetes-related complications and healthy eating. Knowledge of diabetes and its relation to specific foods and the effect of diet on glucose control were limited among the participants. Conclusion: Education and ethnicity were associated with literacy and knowledge on diabetes. There existed a deficit of diabetes-related nutrition knowledge among the participants. These findings may help healthcare providers tailor individualised patient educational interventions.