METHODOLOGY: This study utilized the data from the National Health and Morbidity Survey (NHMS) 2019, a cross-sectional survey that applied two-stage stratified cluster sampling. Questionnaires pertained to ever heard, knowledge, and practised of Malaysian Healthy Plate were asked along with another questionnaire. Complex sample analysis was applied to fit with the study design.
RESULTS: Estimated 16.9 million (79.6%) adults in Malaysia were never heard of the Malaysian Healthy Plate Concept in 2019. Never heard of this concept was significantly associated with sex (men, aOR 0.265), ethnicity (other ethnicities, aOR 1.79), an education level (no education, aOR 9.59; primary, aOR 3.50; secondary, aOR 1.70), occupation (private, aOR 2.16; self-employed, aOR 2.31; retirees, aOR 1.69; student, aOR 2.31; unpaid workers, aOA 2.35; not working, aOR 2.86), non-diabetes aOR 1.43, and low fruit and vegetable intake person aOR 1.86. Meanwhile, another 20.4% or an estimated 4.3 million adults who were ever heard of Malaysian Healthy Plate. Among those who are ever heard, 80.8% (3.5 million) correctly interpreted or understood the concept and among those who ever heard and understood the concept, only 70.5% (2.5 million) have been practising it daily or occasionally.
CONCLUSIONS: Four-fifth of adults never heard of the 'Malaysian Healthy Plate' and among those who ever heard, the understanding and practising of the concept were probably unsatisfactory. Multisectoral collaboration is an urge to fasten the promotion to spark awareness and educate the public to practice the concept to promote healthy eating and a healthier nation.
METHODS: A multi-staged cluster sampling method was employed. A total of 598 16-year-old adolescents participated in this study. Participants' demographic profile was assessed through a self-administered questionnaire. Clinical examinations were carried out under standardized conditions by a single examiner. The level of GTW was recorded using the modified Smith and Knight's Tooth Wear Index (TWI) whilst ETW were recorded using the Basic Erosive Wear Examination (BEWE) index. This index was developed to record clinical findings and assist in the decision-making process for the management of erosive tooth wear. Dental caries was recorded using the D3MFT index whereby D3 denotes obvious dental decay into dentine detected visually.
RESULTS: The prevalence of GTW, ETW and dental caries, i.e. percentage of individuals found to have at least one lesion, was 99.8%, 45.0% and 27.8% respectively. Two thirds of affected teeth with GTW were observed to have a TWI score of 1 whereas almost all of the affected teeth with ETW had a BEWE score of 2. The mean D3MFT was 0.62 (95% CI 0.50, 0.73) with Decayed (D) teeth being the largest component, mean D3T was 0.36 (95% CI 0.30, 0.43). There was no significant association between socio-demographic factors and prevalence of ETW. Logistic regression analysis also showed no significant relationship between the prevalence of ETW and D3MFT (p > 0.05).
CONCLUSIONS: Almost all adolescents examined had GTW but they were mainly early lesions. However, nearly half were found to have ETW of moderate severity (BEWE score 2). No significant relationship between the occurrence of erosive tooth wear and caries was observed in this population.
METHODS: The study used data from the National Health and Morbidity Survey in 2018. It was a cross-sectional study with two-staged stratified cluster sampling design. In total, 3977 adults aged ≥60 years were selected for this study. Respondents were interviewed face to face using a structured questionnaire. Self-reported diabetes, hypertension or hypercholesterolemia was defined as having ever been told they have these diseases by a medical doctor or paramedic. Data were analyzed using SPSS version 25. The multiple logistic regression model was used to examine the factors associated with the prevalence of self-reporting.
RESULTS: The prevalence of self-reported diabetes, hypertension and hypercholesterolemia among older persons in Malaysia were 27.7%, 51.1% and 41.8% respectively. Presence of other comorbidities and being obese showed higher odds for all three diseases. Indians, unemployed, inactive had higher odds for diabetes. Other Bumiputras, unemployed, non-smoker, obese and inactive had higher odds for hypertension. Non-smoker had higher odds for hypercholesterolemia.
CONCLUSIONS: Health promotion, vigilance, attention and services targeting on the associated factors should be strengthened for older persons in Malaysia to ensure healthy aging. Geriatr Gerontol Int 2020; 20: 79-84.
METHODS: A multicenter randomized clinical trial was conducted on hospitalized stroke survivors. Those in the control group were given standard care of oral hygiene (a manual toothbrush and toothpaste), whereas those in the test group were given intense care of oral hygiene (a powered toothbrush and 1% chlorhexidine oral gel). Oral clinical assessments were carried out, and microbiological samples were collected, using concentrated oral rinse samples at 3 time points: baseline, 3 months, and 6 months.
RESULTS: The prevalence of oral yeast was significantly reduced in the test group at 6 months (P < .05), but no significant difference was observed over time. A significant reduction was observed in the prevalence of Staphylococcus aureus (P < .01) and aerobic and facultative gram-negative bacilli over time (P < .05), but there were no significant differences noted between groups at 6 months. Candida albicans and Klebsiella pneumoniae were the prominent pathogens determined throughout the trial. Kluyvera strains have also been isolated from this cohort.
CONCLUSION: Oral hygiene intervention using a powered tooth brush and 1% chlorhexidine oral gel was effective in reducing the prevalence of oral opportunistic pathogens.
METHODS: A cross-sectional study was conducted among 134 geriatric patients with a mean age of 68.9 ± 8.4 who stayed at acute care wards in Hospital Tuanku Ampuan Rahimah, Klang from July 2017 to August 2017. The SGA, MNA, and GNRI were administered through face-to-face interviews with all the participants who gave their consent. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the GNRI and MNA were analyzed against the SGA. Receiver-operating characteristic (ROC) curve analysis was used to obtain the area under the curve (AUC) and suitable optimal cutoff values for both the GNRI and MNA.
RESULTS: According to the SGA, MNA, and GNRI, 26.9%, 42.5%, and 44.0% of the participants were malnourished, respectively. The sensitivity, specificity, PPV, and NPV for the GNRI were 0.622, 0.977, 0.982, and 0.558, respectively, while those for the MNA were 0.611, 0.909, 0.932, and 0.533, respectively. The AUC of the GNRI was comparable to that of the MNA (0.831 and 0.898, respectively). Moreover, the optimal malnutrition cutoff value for the GNRI was 94.95.
CONCLUSIONS: The prevalence of malnutrition remains high among hospitalized elderly patients. Validity of the GNRI is comparable to that of the MNA, and use of the GNRI to assess the nutritional status of this group is proposed with the new suggested cutoff value (GNRI ≤ 94.95), as it is simpler and more efficient. Underdiagnosis of malnutrition can be prevented, possibly reducing the prevalence of malnourished hospitalized elderly patients and improving the quality of the nutritional care process practiced in Malaysia.
METHODS: A literature search was performed on six databases using the terms "malnutrition", "hospitalised elderly", "nutritional assessment", "Mini Nutritional Assessment (MNA)", "Geriatric Nutrition Risk Index (GNRI)", and "Subjective Global Assessment (SGA)".
RESULTS: According to the previous studies, the prevalence of malnutrition among hospitalized elderly shows an increasing trend not only locally but also across the world. Under-recognition of malnutrition causes the number of malnourished hospitalized elderly to remain high throughout the years. Thus, the development of nutritional screening and assessment tools has been widely studied, and these tools are readily available nowadays. SGA, MNA, and GNRI are the nutritional assessment tools developed specifically for the elderly and are well validated in most countries. However, to date, there is no single tool that can be considered as the universal gold standard for the diagnosis of nutritional status in hospitalized patients.
CONCLUSION: It is important to identify which nutritional assessment tool is suitable to be used in this group to ensure that a structured assessment and documentation of nutritional status can be established. An early and accurate identification of the appropriate treatment of malnutrition can be done as soon as possible, and thus, the malnutrition rate among this group can be minimized in the future.