METHODOLOGY: This study was conducted using daily confirmed cases of COVID-19 collected from the official Ministry of Health, Malaysia (MOH) and John Hopkins University websites. An Autoregressive Integrated Moving Average (ARIMA) model was fitted to the training data of observed cases from 22 January to 31 March 2020, and subsequently validated using data on cases from 1 April to 17 April 2020. The ARIMA model satisfactorily forecasted the daily confirmed COVID-19 cases from 18 April 2020 to 1 May 2020 (the testing phase).
RESULTS: The ARIMA (0,1,0) model produced the best fit to the observed data with a Mean Absolute Percentage Error (MAPE) value of 16.01 and a Bayes Information Criteria (BIC) value of 4.170. The forecasted values showed a downward trend of COVID-19 cases until 1 May 2020. Observed cases during the forecast period were accurately predicted and were placed within the prediction intervals generated by the fitted model.
CONCLUSIONS: This study finds that ARIMA models with optimally selected covariates are useful tools for monitoring and predicting trends of COVID-19 cases in Malaysia.
METHODS: SEIRV models were developed and validated using COVID-19 case and vaccination data from the Ministry of Health, Malaysia, from June 21, 2021 to July 21, 2021 to generate forecasts of COVID-19 cases from July 22, 2021 to December 31, 2021. Three scenarios were examined to measure the effects of vaccination on COVID-19 case trends. Scenarios 1 and 2 represented the trends taking into account the earliest and latest possible times of achieving full vaccination for 80% of the adult population by October 31, 2021 and December 31, 2021, respectively. Scenario 3 described a scenario without vaccination for comparison.
RESULTS: In scenario 1, forecasted cases peaked on August 28, 2021, which was close to the peak of observed cases on August 26, 2021. The observed peak was 20.27% higher than in scenario 1 and 10.37% lower than in scenario 2. The cumulative observed cases from July 22, 2021 to December 31, 2021 were 13.29% higher than in scenario 1 and 55.19% lower than in scenario 2. The daily COVID-19 case trends closely mirrored the forecast of COVID-19 cases in scenario 1 (best-case scenario).
CONCLUSIONS: Our study demonstrated that COVID-19 vaccination reduced COVID-19 case trends during the Delta outbreak. The compartmental models developed assisted in the management and control of the COVID-19 pandemic in Malaysia.
METHODS: The Malaysian Community Salt Study (MyCoSS) was a nationwide cross-sectional study, conducted between October 2017 and March 2018. A multistage complex sample was applied to select a nationally representative sample of respondents aged 18 years and above. Face to face interview by a validated Food Frequency Questionnaire (FFQ) comprising 104 food items was used to gain information on high sodium food consumption patterns.
RESULTS: A total of 1047 respondents were involved in this study, with 1032 (98.6%) answering the FFQ. From the number, 54.1% exceed the recommendation of sodium intake <2000mg/day by FFQ assessment. The results also demonstrated that fried vegetables (86.4%) were the most common high sodium food consumed, followed by bread (85.9%) and omelet (80.3%). In urban areas, bread was the most common while fried vegetables took the lead in rural areas. By sex, bread was most commonly eaten by males and fried vegetables by females. The results also found that kolok mee/kampua mee contributed the highest sodium, 256.5mg/day in 9.0% adult population, followed by soy sauce 248.1mg/day in 33.2% adult population, and curry noodles 164.2mg/day in 18.5% adult population.
CONCLUSION: Fried vegetables, bread, and soy sauce were the main source of sodium consumption among adult. Reducing the amount of sodium added to these foods should be the top priority to reduce population sodium intake and thereby prevent sodium-related diseases in Malaysia.
METHODS: This was a quasi-experimental study conducted in low-cost flats in Kuala Lumpur, Malaysia. A total of 255 overweight and obesity individuals aged between 18 to 59 years old were assigned to either the lifestyle intervention group (n = 169) or the usual care group (n = 146) over a period of 6 months. Individuals in the intervention group received 6 individual lifestyle counselling comprised of physical activity, diet counselling and self-monitoring components aimed to achieve at least 5% weight loss while individuals in the usual care group obtained six sessions of health care seminars from health care providers. These individuals were then followed-up for another 6 months without any intervention as part of maintenance period.
RESULTS: An intention-to-treat analysis of between-groups at 6-month of intervention (β, 95% CI) revealed greater changes in weight among intervention individuals' (- 1.09 kg vs. -0.99; p 0.05). Individuals in the intervention group showed a significant increase for skeletal muscle mass (0.13 kg) than those individuals in the control group (- 0.37 kg), p = 0.033, throughout the study period.
CONCLUSION: This study provides evidence that an overweight and obesity prevention program can be implemented in a community setting, with some reduction of several anthropometric and body composition parameters.
METHODS: A total of 322 participants from the MyBFF@home study completed the Newest Vital Sign (NVS) test at baseline. However, only data from 209 participants who completed the NVS test from baseline to WL intervention were used to determine the HL groups. Change of the NVS scores from baseline to WL intervention phase was categorized into two groups: those with HL improvement (increased 0.1 score and above) and those without HL improvement (no change or decreased 0.1 score and more). Independent variables in this study were change of energy intake, nutrient intake, physical activity, anthropometry measurements, and body composition measurements between baseline and WL intervention as well as between WL intervention and WL maintenance. An Independent sample t-test was used in the statistical analysis.
RESULTS: In general, both intervention and control participants have low HL. The study revealed that the intervention group increased the NVS mean score from baseline (1.19 scores) to the end of the WL maintenance phase (1.51 scores) compared to the control group. There was no significant difference in sociodemographic characteristics between the group with HL improvement and the group without HL improvement at baseline. Most of the dietary intake measurements at WL intervention were significantly different between the two HL groups among intervention participants. Physical activity and body composition did not differ significantly between the two HL groups among both intervention and control groups.
CONCLUSION: There was an improvement of HL during the WL intervention and WL maintenance phase in intervention participants compared to control participants. HL shows positive impacts on dietary intake behavior among intervention participants. New research is suggested to explore the relationship between HL and weight loss behaviors in future obesity intervention studies.
METHODS: This is a follow-up study among 84 obese housewives without co-morbidities aged 18 to 59 years old who previously participated as a control group (delayed intervention, G1) in the My Body is Fit and Fabulous at Home (MyBFF@home) Phase II. Baseline data were obtained from 12 month data collection for this group. A new group of 42 obese housewives with co-morbidities (G2) were also recruited. Both groups received a 6 month intervention (July-December 2015) consisting of dietary counselling, physical activity (PA) and self-monitoring tools (PA diary, food diary and pedometer). Study parameters included weight, height, waist circumference, blood pressure and body compositions. Body compositions were measured using a bioelectrical impedance analysis device, Inbody 720. Descriptive and repeated measures ANOVA analyses were performed using SPSS 21.
RESULTS: There were reductions in mean body fat, fat mass and visceral fat area, particularly among obese women without co-morbidities. There were also decreases fat and skeletal muscle from baseline to month six with mean difference - 0.12 (95% CI: -0.38, 0.14) and visceral fat area from month three to month six with mean difference - 9.22 (- 17.87, - 0.56) for G1. G2 showed a decreasing pattern of skeletal muscle from baseline to month six with mean difference - 0.01(95% CI: -0.38, 0.37). There was a significant difference for group effect of visceral fat area (p
METHODS: MyCoSS was a cross-sectional household survey involving 1440 adults age 18 years and above. This study utilized stratified cluster sampling to obtain a nationally representative sample. Data was collected between October 2017 and March 2018. Socio-demographic information, dietary assessment using food frequency questionnaire (FFQ), and away from home meal consumption were assessed through a face-to-face interview by trained health personnel. Descriptive analysis and logistic regression were applied to identify the association of socioeconomic status and away from home meal consumption with dietary sodium intake.
RESULTS: A total of 1032 participants completed the FFQ, with a mean age of 48.8 + 15.6 years. Based on the FFQ, slightly over half of the participants (52.1%) had high sodium intake. Results showed that 43.6% of participants consumed at least one to two away from home meals per day, while 20.8% of them had their three main meals away from home. Participants aged less than 30 years old were the strongest predictor to consume more sodium (adjusted OR: 3.83; 95%CI: 2.23, 6.58) while those of Indian ethnicity had significantly lower sodium intake. Surprisingly, having three away from home meals per day was not associated with high dietary sodium intake, although a significant association (crude OR; 1.67, 95% CI: 1.19, 2.35) was found in the simple logistic regression. Obese participants were less likely to have high dietary sodium intake compared with the normal BMI participants in the final model.
CONCLUSION: Over half of the participants consumed sodium more than the recommended daily intake, especially those who consumed three away from home meals. However, there was no significant association between high sodium intake and having three away from home meals per day. The promotion of healthy cooking methods among the public must continue to be emphasized to reduce the dietary sodium intake among Malaysian adults.
OBJECTIVE: This review aims to evaluate the effectiveness of nondrug interventions in reducing OIs among patients with hematological cancers.
METHODS: The PubMed, CENTRAL (Cochrane Central Register of Controlled Trials), and Embase databases were searched on December 26, 2022, for all randomized controlled trials (RCTs). The primary endpoint was OIs. The quality of included studies was assessed by the Cochrane Risk-of-Bias tool.
RESULTS: A total of 6 studies were included in this review with 4 interventions: (1) types of mouthwash received, (2) presence of coating on central venous catheters (CVCs), (3) use of well-fitted masks, and (4) types of diet consumed. The results were presented in 8 different comparisons: (1) chlorhexidine-nystatin versus saline mouth rinse, (2) chlorhexidine versus saline mouth rinse, (3) nystatin versus saline mouth rinse, (4) chlorhexidine silver sulfadiazine-coated CVCs versus uncoated catheters, (5) well-fitted masks versus no mask, (6) amine fluoride-stannous fluoride versus sodium fluoride mouthwash, (7) low-bacterial diet versus standard hospital diet, and (8) herbal versus placebo mouthwash. No clear differences were reported in any of the outcomes examined in the first 3 comparisons. There were also no clear differences in the rate of catheter-related bloodstream infection or insertion site infection between the use of chlorhexidine silver sulfadiazine-coated CVCs versus uncoated catheters in the patients. Further, no significant differences were seen between patients who used a well-fitted mask and those without a mask in the incidence of OI. The all-cause mortality and mortality due to OI were similar between the 2 groups. There was no clear difference in all-cause mortality, although common adverse effects were reported in patients who used sodium fluoride mouthwash compared with those using amine fluoride-stannous fluoride mouthwash. There was no evidence of any difference in the incidence of possible invasive aspergillosis or candidemia between patients who consumed a low-bacterial diet and a standard diet. For the last comparison, no significant difference was seen between patients who received herbal and placebo mouthwash.
CONCLUSIONS: Very limited evidence was available to measure the effectiveness of nondrug interventions in hematological cancers. The effectiveness of the interventions included in this review needs to be evaluated further in high-quality RCTs in a dedicated setting among patients with hematological malignancies.
TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42020169186; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=169186.
METHODS: Data of participants in the MyBFF@home study (intervention and control groups) were analysed. Participants in the intervention group received personalised dietary counselling consisted of reduced calorie diet 1200-1500 kcal/day, while the control group was assigned to receive women's health seminars. The dietary assessment was done during the intervention phase at baseline, 1 month (m), 2 m, 3 m and 6 m using a 3-day food diary. Body fat was measured using a bioelectrical impedance analyser (In-body 720) at baseline and at the end of the intervention phase. The mean differences of nutrient intake and body compositions during the intervention phase were measured with paired t-test. The changes in body fat and nutrients intake were calculated by subtracting baseline measurements from those taken at 6 months. Multiple linear regression analysis was conducted to determine the extent to which the changes in each gram of nutrients per 1000 kcal were predictive of changes in body fat mass.
RESULTS: There were significant reductions in energy, all macronutrients, dietary fibre, calcium and iron intake in both study groups after the intervention phase (p