Hepatitis B and influenza vaccination coverage in healthcare workers, the elderly, and patients with diabetes in Malaysia

Adult immunization remains to be a neglected issue in developing countries including Malaysia. This nationwide study determined the vaccination coverage of hepatitis B and influenza among Malaysia’s healthcare workers (HCWs), the elderly (aged 60 y and above) and patients with diabetes, who are the participants of The Malaysia Cohort Program. The participants were categorized based on their occupation, age and medical history. Self-reported questionnaire was used to assess the participant’s hepatitis B and influenza vaccination status. A Chi-square test and logistic regression analyses were performed to determine the risk factors associated with vaccination behavior. The hepatitis B vaccination coverage for healthcare workers, elderly, and patients with diabetes were 34.6%, 10.1% and 9.8%, respectively. The influenza vaccination coverage rates for healthcare workers, the elderly and patients with diabetes were 26.3%, 5.5% and 6.4%, respectively. The Chinese were more likely to be vaccinated against hepatitis B, while Malay was more likely to be vaccinated against influenza. Individuals with higher education and living in urban areas were more likely vaccinated than those with low education levels and who lived in rural areas. The low vaccination coverage for healthcare workers was alarming because hepatitis B and influenza were subsidized for the healthcare workers. The hepatitis B and influenza vaccination coverage among healthcare workers, elderly and patients with diabetes in Malaysia were low. Specific interventions such as educational and awareness programs should be conducted to increase the vaccination rate among adults, especially those at high risk

Development and Relative Validity of a Semiquantitative Food Frequency Questionnaire to Estimate Dietary Intake among a Multi-Ethnic Population in the Malaysian Cohort Project

Measuring dietary intakes in a multi-ethnic and multicultural setting, such as Malaysia, remains a challenge due to its diversity. This study aims to develop and evaluate the relative validity of an interviewer-administered food frequency questionnaire (FFQ) in assessing the habitual dietary exposure of The Malaysian Cohort (TMC) participants. We developed a nutrient database (with 203 items) based on various food consumption tables, and 803 participants were involved in this study. The output of the FFQ was then validated against three-day 24-h dietary recalls (n = 64). We assessed the relative validity and its agreement using various methods, such as Spearman’s correlation, weighed Kappa, intraclass correlation coefficient (ICC), and Bland–Altman analysis. Spearman’s correlation coefficient ranged from 0.24 (vitamin C) to 0.46 (carbohydrate), and almost all nutrients had correlation coefficients above 0.3, except for vitamin C and sodium. Intraclass correlation coefficients ranged from −0.01 (calcium) to 0.59 (carbohydrates), and weighted Kappa exceeded 0.4 for 50% of nutrients. In short, TMC’s FFQ appears to have good relative validity for the assessment of nutrient intake among its participants, as compared to the three-day 24-h dietary recalls. However, estimates for iron, vitamin A, and vitamin C should be interpreted with caution

A prospective multicenter randomized controlled trial to evaluate the efficacy of chitosan hydrogel paste in comparison to commercial hydroactive gel as a wound bed preparation

Background This clinical trial aimed to evaluate the clinical efficacy of chitosan derivative hydrogel paste (CDHP) as a wound bed preparation for wounds with cavities. Methods This study enrolled 287 patients, with 143 patients randomized into the CDHP group (treatment) and 144 patients randomized into the commercial hydro�active gel (CHG) group (control). The granulation tissue, necrotic tissue, patient comfort, clinical signs, symptoms, and patient convenience during the application and removal of the dressing were assessed. Results The study was completed by 111 and 105 patients from the treatment and control groups, respectively. Both groups showed an increasing mean percentage of wound granulation over time when the initial wound size and comorbidity were adjusted (F(10,198) =4.61; p < 0.001), but no significant difference was found between the groups (F(1,207)= 0.043; p ¼ 0.953). The adjusted mean percentage of necrotic tissue of both groups showed a significant decrease over time (F (10,235) = 5.65; p <0.001), but no significant differences were found between the groups (F (1,244)= 0.487; p ¼ 0.486). Conclusion CDHP is equivalent to CHG and is an alternative in wound management and wound bed preparation for wounds with cavitie

10-Year Cardiovascular Disease Risk Estimation Based on Lipid Profile-Based and BMI-Based Framingham Risk Scores across Multiple Sociodemographic Characteristics: The Malaysian Cohort Project

Cardiovascular disease (CVD) leads to high morbidity and mortality rate worldwide. Therefore, it is important to determine the risk of CVD across the sociodemographic factors to strategize preventive measures. The current study consisted of 53,122 adults between the ages of 35 and 65 years from The Malaysian Cohort project during recruitment phase from year 2006 to year 2012. Sociodemographic profile and physical activity level were assessed via self-reported questionnaire, whereas relevant CVD-related biomarkers and biophysical variables were measured to determine the Framingham Risk Score (FRS). The main outcome was the 10-year risk of CVD via FRS calculated based on lipid profile and body mass index (BMI) associated formulae. The BMI-based formula yielded a higher estimation of 10-year CVD risk than the lipid profile-based formula in the study for both males (median = 13.2% and 12.7%, respectively) and females (median = 4.3% and 4.2%, respectively). The subgroup with the highest risk for 10-year CVD events (based on both FRS formulae) was the Malay males who have lower education level and low physical activity level. Future strategies for the reduction of CVD risk should focus on screening via BMI-based FRS in this at-risk subpopulation to increase the cost-effectiveness of the prevention initiatives

Cohort profile: The Malaysian Cohort (TMC) project: a prospective study of non-communicable diseases in a multi-ethnic population

The Malaysian Cohort study was initiated in 2005 by the Malaysian government. The topdown approach to this population-based cohort study ensured the allocation of sufficient funding for the project which aimed to recruit 100 000 individuals aged 35–70 years. Participants were recruited from rural and urban areas as well as from various socioeconomic groups. The main objectives of the study were to identify risk factors, to study gene-environment interaction and to discover biomarkers for the early detection of cancers and other diseases. At recruitment, a questionnaire-based interview was conducted, biophysical measurements were performed and biospecimens were collected, processed and stored. Baseline investigations included fasting blood sugar, fasting lipid profile, renal profile and full blood count. From April 2006 to the end of September 2012 we recruited a total of 106 527participants. The baseline prevalence data showed 16.6% participants with diabetes, 46.5% with hypertension, 44.9% with hypercholesterolaemia and 17.7% with obesity. The follow-up phase commenced in June 2013. This is the most comprehensive and biggest cohort study in Malaysia, and has become a valuable resource for epidemiological and biological research. For information on collaboration and also data access, investigators can contact the project leader at ([email protected])

Differing Contributions of Classical Risk Factors to Type 2 Diabetes in Multi-Ethnic Malaysian Populations

The prevalence of type 2 diabetes is escalating rapidly in Asian countries, with the rapid increase likely attributable to a combination of genetic and lifestyle factors. Recent research suggests that common genetic risk variants contribute minimally to the rapidly rising prevalence. Rather, recent changes in dietary patterns and physical activity may be more important. This nested case-control study assessed the association and predictive utility of type 2 diabetes lifestyle risk factors in participants from Malaysia, an understudied Asian population with comparatively high disease prevalence. The study sample comprised 4077 participants from The Malaysian Cohort project and included sub-samples from the three major ancestral groups: Malay (n = 1323), Chinese (n = 1344) and Indian (n = 1410). Association of lifestyle factors with type 2 diabetes was assessed within and across ancestral groups using logistic regression. Predictive utility was quantified and compared between groups using the Area Under the Receiver-Operating Characteristic Curve (AUC). In predictive models including age, gender, waist-to-hip ratio, physical activity, location, family history of diabetes and average sleep duration, the AUC ranged from 0.76 to 0.85 across groups and was significantly higher in Chinese than Malays or Indians, likely reflecting anthropometric differences. This study suggests that obesity, advancing age, a family history of diabetes and living in a rural area are important drivers of the escalating prevalence of type 2 diabetes in Malaysia

Cardiovascular Disease Prediction from Electrocardiogram by Using Machine Learning

Cardiovascular disease (CVD) is the leading cause of deaths worldwide. In 2017, CVD contributed to 13,503 deaths in Malaysia. The current approaches for CVD prediction are usually invasive and costly. Machine learning (ML) techniques allow an accurate prediction by utilizing the complex interactions among relevant risk factors. This study presents a case–control study involving 60 participants from The Malaysian Cohort, which is a prospective population-based project. Five parameters, namely, the R–R interval and root mean square of successive differences extracted from electrocardiogram (ECG), systolic and diastolic blood pressures, and total cholesterol level, were statistically significant in predicting CVD. Six ML algorithms, namely, linear discriminant analysis, linear and quadratic support vector machines, decision tree, k-nearest neighbor, and artificial neural network (ANN), were evaluated to determine the most accurate classifier in predicting CVD risk. ANN, which achieved 90% specificity, 90% sensitivity, and 90% accuracy, demonstrated the highest prediction performance among the six algorithms. In summary, by utilizing ML techniques, ECG data can serve as a good parameter for CVD prediction among the Malaysian multiethnic population

Participants Attrition in a Longitudinal Study: The Malaysian Cohort Study Experience

The attrition rate of longitudinal study participation remains a challenge. To date, the Malaysian Cohort (TMC) study follow-up rate was only 42.7%. This study objective is to identify the cause of attrition among TMC participants and the measures to curb it. A total of 19,343 TMC participants from Kuala Lumpur and Selangor that was due for follow-up were studied. The two most common attrition reasons are undergoing medical treatment at another government or private health center (7.0%) and loss of interest in participating in the TMC project (5.1%). Those who were inclined to drop out were mostly Chinese, aged 50 years and above, unemployed, and had comorbidities during the baseline recruitment. We have also contacted 2183 participants for the home recruitment follow-up, and about 10.9% agreed to join. Home recruitment slightly improved the overall follow-up rate from 42.7% to 43.5% during the three-month study period

Looping Board: Development Of An Electronic Educational Quiz Board That Test Student Knowledge On Laplace Transform For Electrical Circuit Modelling

The application of electronics and internet technology in the current education system is increased tremendously to enhance the students learning activities. One example is an electronic educational kit or simulator which adopted in the classroom to supplement the formal teaching and learning methodology. The educational kit offers attractive and fun learning experiences that possibly enhance the student’s interest and knowledge as compared to ineffective and boring traditional lectures. The objective of this works is to design and develop a prototype of an educational quiz board (named Looping Board) that is automatic, cost-effective, portable, and interactive. This prototype comprises of quiz assessment module that is used to evaluate the students’ knowledge of translating the transfer function of an electrical circuit to its equivalent electrical circuit. Looping Board is developed using Arduino Mega 2560 as the microcontroller, resistors, and female header pin as the inputs, LEDs as the output, and Bluetooth HC-05 module used as a communication device to connect between Arduino and the smartphone. MIT apps inventor is applied to develop smartphone application which consisting of questions and answers of Laplace Transform. To measure and evaluate the effectiveness of the prototype, a survey has been carried out among 50 respondents at the Faculty of Electrical & Electronics Engineering Technology in Universiti Teknikal Malaysia Melaka. Based on the result, more than 60% of students have agreed the Looping Board is useful in enhancing student’s interest and knowledge