Displaying publications 1 - 20 of 25 in total

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  1. Wong YJ, Lee SWH
    ERJ Open Res, 2020 Jan;6(1).
    PMID: 32166089 DOI: 10.1183/23120541.00254-2019
    Introduction: Tuberculosis remains one of the top 10 major causes of global mortality, imposing social-economic and medical challenges in Malaysia. Refugees sheltered in Malaysia are a high-risk population but basic health checks upon their arrival, including tuberculosis screening, are not practised. This study aimed to identify the prevalence and risk factors of tuberculosis and latent tuberculosis infection (LTBI) among refugee children in Malaysia.

    Methods: A cross-sectional study was performed in three refugee schools in the Klang Valley, Malaysia, using tuberculin skin tests or interferon-γ release assays. Participants who tested positive were sent for further examination with chest radiography to confirm the tuberculosis diagnosis.

    Results: From April 2018 to April 2019, we screened 430 refugee children with a median age of 13.0 years. Most of the children were born in Myanmar (n=274, 63.7%) and Pakistan (n=60, 14.0%). No children were diagnosed with active tuberculosis but 55 of the children (12.8%) were diagnosed with LTBI. Children with LTBI were generally older (OR 3.01, 95% CI 1.71-5.29; p<0.001) than those without LTBI infection. Sex, history of bacille Calmette-Guérin vaccination and country of birth were not associated with increased risk of LTBI.

    Conclusion: The relatively high LTBI burden among refugee children in this study poses an indication of possible LTBI risk among this population nationwide, and thus would be an important group to target for preventive therapy. This provides a unique opportunity for researchers to further examine and implement well-structured preventive strategies in combating the endemic infectious disease in Malaysia.

  2. Wong YJ, Shimizu Y, He K, Nik Sulaiman NM
    Environ Monit Assess, 2020 Sep 16;192(10):644.
    PMID: 32935203 DOI: 10.1007/s10661-020-08543-4
    The assessment of surface water quality is often laborious, expensive and tedious, as well as impractical, especially for the developing and middle-income countries in the ASEAN region. The application of the water quality index (WQI), which depends on several independent key parameters, has great potential and is a useful tool in this region. Therefore, this study aims to find out the spatial variability of various water quality parameters in geographical information system (GIS) environment and perform a comparative study among the ASEAN WQI systems. At present, there are four ASEAN countries which have implemented the WQI system to evaluate their surface water quality, which are (i) Own WQI system-Malaysia, Thailand and Vietnam-and (ii) Adopted WQI system: Indonesia. A spatial distribution of 12 water quality parameters in the Selangor river basin, Malaysia, was plotted and then applied into the different ASEAN WQI systems. The WQI values obtained from the different WQI systems have an appreciable difference, even for the same water samples due to the disparity in the parameter selection and the standards among them. WQI systems which consider all biophysicochemical parameters provide a consistent evaluation (Very Poor), but the system which either considers physicochemical or biochemical parameters gives a relatively lenient evaluation (Fair-Poor). The Selangor river basin is stressed and impacted by all physical, biological and chemical parameters caused by both the aridity of the climate and anthropogenic activities. Therefore, it is crucial to include all these aspects into the evaluation and corresponding actions should be taken.
  3. Pakalapati H, Arumugasamy SK, Jewaratnam J, Wong YJ, Khalid M
    Biopolymers, 2018 Dec;109(12):e23240.
    PMID: 30489632 DOI: 10.1002/bip.23240
    A statistical approach with D-optimal design was used to optimize the process parameters for polycaprolactone (PCL) synthesis. The variables selected were temperature (50°C-110°C), time (1-7 h), mixing speed (50-500 rpm) and monomer/solvent ratio (1:1-1:6). Molecular weight was chosen as response and was determined using matrix-assisted laser desorption/ionization time of flight (MALDI TOF). Using the D-optimal method in design of experiments, the interactions between parameters and responses were analysed and validated. The results show a good agreement with a minimum error between the actual and predicted values.
  4. Wong YJ, Ng KY, Lee SWH
    Int J Med Inform, 2022 Jan 05;159:104687.
    PMID: 35007924 DOI: 10.1016/j.ijmedinf.2022.104687
    PURPOSE: With one-quarter of the world's population estimated to have latent tuberculosis infection (LTBI), it is important that the drop-outs from the LTBI cascade of care are minimized. Digital health technology could play an important role in case detection and treatment adherence. This study aims to evaluate the use and impact of digital health technology in LTBI care.

    METHODS: A systematic literature search was conducted on six electronic databases from database inception until May 31st 2021. Studies that reported on the clinical use or economic analysis of digital health technology for LTBI care were included. Two investigators independently evaluated, extracted relevant studies, and assessed the risk of bias of using the Cochrane tools. The studies were synthesized qualitatively.

    RESULTS: Fifteen articles describing 14 studies were included. Voice and/or textual reminders and synchronous video call to improve LTBI treatment adherence were the most commonly examined digital health interventions. Other interventions examined the use of mobile phones to improve the number of patients who returned for tuberculin skin test follow-up measurement (screening retention) and eLearning videos to enhance health literacy in LTBI care. The economic analysis supported the use of textual reminders in LTBI treatment as a cost-effective option for widescale implantation.

    CONCLUSIONS: Despite limited evidence on the effects of digital health technologies in LTBI, available studies suggest they are at least equivalent to current practice. This means digital health can potentially supplement current practice, to constantly monitor and engage with people undergoing LTBI screening or treatment, as an initiative to ensure the provision of continuous and optimal care to all LTBI-affected individuals.

  5. Wong YJ, Ng KY, Lee SWH
    Res Social Adm Pharm, 2023 Jan;19(1):5-15.
    PMID: 36096865 DOI: 10.1016/j.sapharm.2022.09.001
    BACKGROUND: A multidisciplinary approach is required to tackle the tuberculosis (TB) epidemic, which is one of the most pressing public health concerns worldwide. However, community pharmacists are underutilized in TB programs.

    OBJECTIVE: To identify community pharmacists-led interventions in TB management with their corresponding impacts in TB case detection and treatment outcomes.

    METHODS: A systematic search was performed in six electronic databases and health organization websites, from database inception to August 2, 2022. Studies which described TB screening, referral and/or treatment monitoring by community pharmacists with their corresponding outcomes were screened and reviewed independently by two reviewers. The studies were checked for the risk of bias using Cochrane risk of bias tools. All data of included studies were analysed qualitatively and presented narratively.

    RESULTS: The search yielded 8,121 studies and five reports for initial screening. Sixteen studies and two case study reports were included in this review. Community pharmacists were involved throughout the TB care cascade, contributing their services in TB screening, referrals and in directly observed treatment-short course (DOTS) program. These interventions showed improvements in the effective control and prevention of further spread of TB, which improves individual, community and population level outcomes.

    CONCLUSIONS: The inclusion of community pharmacists into TB program can improve the continuity of care, bridging the gaps in TB case detection and treatment monitoring. Adequate training and support are essential, to further empower the role of community pharmacists in TB control and prevention, in building a TB-free world.

  6. Tan CSS, Wong YJ, Tang KF, Lee SWH
    Diabetes Metab Syndr, 2023 Feb;17(2):102724.
    PMID: 36791634 DOI: 10.1016/j.dsx.2023.102724
    BACKGROUND AND AIMS: Hypoglycaemia due to fasting during Ramadan may affect the ability to perform complex activities among people with type 2 diabetes mellitus (T2D), but it is unclear how this affects one's ability to drive. This study aims to explore driving experiences and coping strategies to ensure safe driving among people with T2D who fast during Ramadan.

    METHODS: We conducted an exploratory qualitative study and purposefully selected people with T2D who drove and fasted during the past Ramadan period in 2019. In-depth face-to-face interviews were conducted and transcribed verbatim. Data were analysed thematically using a constant comparative method until saturation was achieved (n = 16).

    RESULTS: Two major themes were identified, namely: (1) knowing oneself and (2) voluntary self-restriction. Participants described the importance of understanding how Ramadan fasting affected them and their level of alertness. As such, participants often adjusted their daily activities and tested their blood glucose levels to prevent experiencing hypoglycaemia. Other coping strategies reported include adjusting their medications and driving restrictions or driving in the mornings when they were more alert. Findings from this study shed light on participants' experiences and coping mechanisms while driving during Ramadan.

    CONCLUSION: Given the risks and effects of hypoglycaemia among those who fast, there is a need to provide appropriate and focused patient education during Ramadan to people with T2D to ensure they can perform complex activities such as driving safely, especially in Muslim majority countries.

  7. Wong YJ, Tham ML, Kwan BH, Owada Y
    Sensors (Basel), 2023 Feb 23;23(5).
    PMID: 36904696 DOI: 10.3390/s23052494
    Federated learning (FL) is a technique that allows multiple clients to collaboratively train a global model without sharing their sensitive and bandwidth-hungry data. This paper presents a joint early client termination and local epoch adjustment for FL. We consider the challenges of heterogeneous Internet of Things (IoT) environments including non-independent and identically distributed (non-IID) data as well as diverse computing and communication capabilities. The goal is to strike the best tradeoff among three conflicting objectives, namely global model accuracy, training latency and communication cost. We first leverage the balanced-MixUp technique to mitigate the influence of non-IID data on the FL convergence rate. A weighted sum optimization problem is then formulated and solved via our proposed FL double deep reinforcement learning (FedDdrl) framework, which outputs a dual action. The former indicates whether a participating FL client is dropped, whereas the latter specifies how long each remaining client needs to complete its local training task. Simulation results show that FedDdrl outperforms the existing FL scheme in terms of overall tradeoff. Specifically, FedDdrl achieves higher model accuracy by about 4% while incurring 30% less latency and communication costs.
  8. Wong YJ, Thum CC, Ng KY, Lee SWH
    Prim Health Care Res Dev, 2023 Mar 22;24:e21.
    PMID: 36946302 DOI: 10.1017/S1463423623000105
    AIM: This study aimed to evaluate the feasibility of implementing community pharmacy-based tuberculosis-directly observed treatment (TB-DOT) in Malaysia.

    BACKGROUND: Tuberculosis (TB) eradication is one of the top priorities in the public health agenda in Malaysia. While public-private mix (PPM) initiatives have been launched, community pharmacists remain undervalued assets in TB management.

    METHODS: A two-phase mixed-methods study targeting community pharmacists was conducted in Malaysia between March and October 2021. The first phase was an online self-administered survey developed according to the Consolidated Framework for Implementation Research (CFIR). The second phase was a semi-structured interview to allow deeper understanding on the quantitative results. Quantitative data were analysed using descriptive analysis while qualitative data were analysed using thematic analysis with a semi-inductive approach. The data were triangulated to enhance comprehensiveness and credibility of the findings.

    FINDINGS: The survey was completed by 388 community pharmacists, and 23 pharmacists participated in the interview. Most community pharmacists indicated their willingness to serve as TB-DOT supervisors (70.1%). Qualitative results supported the findings. Community pharmacy-based TB-DOT service was perceived as an avenue to improve TB management and outcomes and to enhance the professional role of pharmacists in TB service at primary care settings. This was also perceived as a feasible intervention with the potential to strengthen the National TB Control programme. This initiative needs be reinforced with adequate support from the public healthcare sector for a strong partnership in ensuring success.

  9. Wong YJ, Ng KY, Lee SWH
    J Public Health (Oxf), 2023 Aug 28;45(3):e447-e466.
    PMID: 37147919 DOI: 10.1093/pubmed/fdad051
    BACKGROUND: To ensure the effective delivery of latent tuberculosis infection (LTBI) care, it is vital to overcome potential challenges in LTBI management. This systematic review aims to identify the barriers and interventions to improve LTBI management using the Capability, Opportunity, and Motivation-Behaviour (COM-B) model and Behaviour Change Wheel (BCW).

    METHODS: A systematic literature search was performed on five electronic databases from database inception to 3 November 2021. A two-step technique was used in the data synthesis process: (i) the barriers of LTBI management were identified using the COM-B model, followed by (ii) mapping of intervention functions from BCW to address the identified barriers.

    RESULTS: Forty-seven eligible articles were included in this review. The findings highlighted the need for a multifaceted approach in tackling the barriers in LTBI management across the public, provider and system levels. The barriers were summarized into suboptimal knowledge and misperception of LTBI, as well as stigma and psychosocial burden, which could be overcome with a combination of intervention functions, targeting education, environment restructuring, persuasion, modelling, training, incentivization and enablement.

    CONCLUSIONS: The remedial strategies using BCW to facilitate policy reforms in LTBI management could serve as a value-added initiative in the global tuberculosis control and prevention program.

  10. Wong YJ, Noordin NM, Keshavjee S, Lee SWH
    Eur Respir Rev, 2021 Mar 31;30(159).
    PMID: 33408089 DOI: 10.1183/16000617.0260-2020
    The impact of latent tuberculosis infection (LTBI) on health and wellbeing is not well understood. This review aims to evaluate the health and wellbeing of individuals with LTBI. A systematic literature search was performed to assess studies reporting patient-reported outcomes in LTBI management including health-related quality of life (HRQoL), health utilities, disease burden and experience of individuals with LTBI. A pooled analysis was performed to estimate the effect of LTBI on HRQoL.A total of 4464 studies were screened, of which 13 eligible articles describing nine unique studies were included for review. The HRQoL of individuals with LTBI and without tuberculosis (TB) infection were comparable, and better than patients with active TB disease. However, individuals with LTBI reported poorer mental health compared with individuals without TB infection (mean difference -4.16, 95% CI -7.45- -0.87; p=0.01). Qualitative studies suggest the presence of fear, anxiety and stigma in individuals with LTBI.This review highlights potential psychosocial challenges in individuals with LTBI despite the absence of clinical symptoms. While their quality of life was marginally affected, this could be evidence to support LTBI management in preventing TB re-activation and the severe consequences of active TB disease that affect all domains of HRQoL.
  11. Wong YJ, Shimizu Y, Kamiya A, Maneechot L, Bharambe KP, Fong CS, et al.
    Environ Monit Assess, 2021 Jun 22;193(7):438.
    PMID: 34159431 DOI: 10.1007/s10661-021-09202-y
    Rivers in Malaysia are classified based on water quality index (WQI) that comprises of six parameters, namely, ammoniacal nitrogen (AN), biochemical oxygen demand (BOD), chemical oxygen demand (COD), dissolved oxygen (DO), pH, and suspended solids (SS). Due to its tropical climate, the impact of seasonal monsoons on river quality is significant, with the increased occurrence of extreme precipitation events; however, there has been little discussion on the application of artificial intelligence models for monsoonal river classification. In light of these, this study had applied artificial neural network (ANN) and support vector machine (SVM) models for monsoonal (dry and wet seasons) river classification using three of the water quality parameters to minimise the cost of river monitoring and associated errors in WQI computation. A structured trial-and-error approach was applied on input parameter selection and hyperparameter optimisation for both models. Accuracy, sensitivity, and precision were selected as the performance criteria. For dry season, BOD-DO-pH was selected as the optimum input combination by both ANN and SVM models, with testing accuracy of 88.7% and 82.1%, respectively. As for wet season, the optimum input combinations of ANN and SVM models were BOD-pH-SS and BOD-DO-pH with testing accuracy of 89.5% and 88.0%, respectively. As a result, both optimised ANN and SVM models have proven their prediction capacities for river classification, which may be deployed as effective and reliable tools in tropical regions. Notably, better learning and higher capacity of the ANN model for dataset characteristics extraction generated better predictability and generalisability than SVM model under imbalanced dataset.
  12. Wong YJ, Arumugasamy SK, Chung CH, Selvarajoo A, Sethu V
    Environ Monit Assess, 2020 Jun 17;192(7):439.
    PMID: 32556670 DOI: 10.1007/s10661-020-08268-4
    Presence of copper within water bodies deteriorates human health and degrades natural environment. This heavy metal in water is treated using a promising biochar derived from rambutan (Nephelium lappaceum) peel through slow pyrolysis. This research compares the efficacies of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and multiple linear regression (MLR) models and evaluates their capability in estimating the adsorption efficiency of biochar for the removal of Cu (II) ions based on 480 experimental sets obtained in a laboratory batch study. The effects of operational parameters such as contact time, operating temperature, biochar dosage, and initial Cu (II) ion concentration on removing Cu (II) ions were investigated. Eleven different training algorithms in ANN and 8 different membership functions in ANFIS were compared statistically and evaluated in terms of estimation errors, which are root mean squared error (RMSE), mean absolute error (MAE), and accuracy. The effects of number of hidden neuron in ANN model and fuzzy set combination in ANFIS were studied. In this study, ANFIS model with Gaussian membership function and fuzzy set combination of [4 5 2 3] was found to be the best method, with accuracy of 90.24% and 87.06% for training and testing dataset, respectively. Contribution of this study is that ANN, ANFIS, and MLR modeling techniques were used for the first time to study the adsorption of Cu (II) ions from aqueous solutions using rambutan peel biochar.
  13. Lekhraj Rampal GR, Mohd Sidik S, Rampal S, Daniel Wong YJ, Chow PL, Liew JS, et al.
    Malays J Nutr, 2007 Mar;13(1):1-8.
    PMID: 22692184 MyJurnal
    Overweight and obesity place children and adolescents at increased risk of significant health problems, both during their early life and adult life. A cross sectional study was carried out to determine the prevalence of overweight among secondary school students aged 13-17 years in the Klang district and to determine the association between overweight and age, sex, ethnicity, religion and blood pressure. Random cluster proportionate to size sampling technique was used to select the respondents. Weight was recorded using TANITA model HD-309 and height was measured using SECA Body meter Model 208. A mercury sphygmomanometer was used to measure blood pressure manually. Statistical analysis was carried out using SPSS version 13. Out of the 3,333 respondents, 11.4% were found to be at risk of overweight and 8.2% were overweight. The prevalence of overweight was significantly higher in the males (10.6%) as compared to females (6.0%). Prevalence of overweight was highest in Malays (10.7%) followed by the Indians (7.1%) and the Chinese (5.9%). Prevalence of 'risk of overweight' was highest in the Indians (13.7%) followed by Chinese (12.0%) and Malays (9.8%). There was a moderate direct significant relationship between overweight and systolic blood pressure (r=0.5, r2=0.25, p<0.001) and also diastolic blood pressure (r=0.42, r2=0.18, p<0.001). The relationship between BMI and overweight was very weak (r=0.11, r2=0.01 and df=3331, p<0.001). In conclusion the prevalence of overweight among the secondary school students is high and there is a need for a comprehensive integrated population-based intervention program.
  14. Lee ZY, Lew CCH, Ortiz-Reyes A, Patel JJ, Wong YJ, Loh CTI, et al.
    Clin Nutr, 2023 Apr;42(4):519-531.
    PMID: 36857961 DOI: 10.1016/j.clnu.2023.01.019
    BACKGROUND & AIMS: Several systematic reviews and meta-analyses of randomized controlled trials concluded that probiotics administration in critically ill patients was safe and associated with reduced rates of ventilator-associated pneumonia and diarrhea. However, a recent large multicenter trial found probiotics administration, compared to placebo, was not efficacious and increased adverse events. An updated meta-analysis that controls for type-1 and -2 errors using trial sequential analysis, with a detailed account of adverse events associated with probiotic administration, is warranted to confirm the safety and efficacy of probiotic use in critically ill patients.

    METHODS: RCTs that compared probiotics or synbiotics to usual care or placebo and reported clinical and diarrheal outcomes were searched in 4 electronic databases from inception to March 8, 2022 without language restriction. Four reviewers independently extracted data and assessed the study qualities using the Critical Care Nutrition (CCN) Methodological Quality Scoring System. Random-effect meta-analysis and trial sequential analysis (TSA) were used to synthesize the results. The primary outcome was ventilator-associated pneumonia (VAP). The main subgroup analysis compared the effects of higher versus lower quality studies (based on median CCN score).

    RESULTS: Seventy-five studies with 71 unique trials (n = 8551) were included. In the overall analysis, probiotics significantly reduced VAP incidence (risk ratio [RR] 0.70, 95% confidence interval [CI] 0.56-0.88; I2 = 65%; 16 studies). However, such benefits were demonstrated only in lower (RR 0.47, 95% CI 0.32, 0.69; I2 = 44%; 7 studies) but not higher quality studies (RR 0.89, 95% CI 0.73, 1.08; I2 = 43%; 9 studies), with significant test for subgroup differences (p = 0.004). Additionally, TSA showed that the VAP benefits of probiotics in the overall and subgroup analyses were type-1 errors. In higher quality trials, TSA found that future trials are unlikely to demonstrate any benefits of probiotics on infectious complications and diarrhea. Probiotics had higher adverse events than control (pooled risk difference: 0.01, 95% CI 0.01, 0.02; I2 = 0%; 22 studies).

    CONCLUSION: High-quality RCTs did not support a beneficial effect of probiotics on clinical or diarrheal outcomes in critically ill patients. Given the lack of benefits and the increased incidence of adverse events, probiotics should not be routinely administered to critically ill patients.

    PROSPERO REGISTRATION: CRD42022302278.

  15. Voon PT, Ng CM, Ng YT, Wong YJ, Yap SY, Leong SL, et al.
    Adv Nutr, 2024 Jul 23;15(9):100276.
    PMID: 39053603 DOI: 10.1016/j.advnut.2024.100276
    Vegetable oils, derived from diverse sources such as seeds, nuts, and some fruits, play a significant role in dietary health. However, the current evidence on the health effects of different types of vegetable oil consumption remains controversial. This umbrella review aims to synthesize evidence from systematic reviews and meta-analyses to assess the health outcomes associated with various vegetable oils. A comprehensive literature search was performed up to 31 July, 2023 on 12 databases for studies examining the association of different vegetable oils with health outcomes in adults. Data was extracted independently by 2 authors, with evidence strength assessed using the grading of recommendations, assessment, development, and evaluation criteria. A total of 48 studies, including 206 meta-analyses, were included. Moderate to very low certainty evidence showed that monounsaturated and polyunsaturated fatty acids such as canola oil, virgin olive oil, and rice bran oil are beneficial in reducing serum total cholesterol and low-density lipoprotein (LDL) concentrations. Conversely, low to very low certainty evidence suggests that oils high in saturated fats, such as coconut oil and palm oil, increase total cholesterol and LDL concentrations but also raise high-density lipoprotein concentrations. Very low certainty evidence showed the consumption of olive oil, sesame oil, and coconut oil could improve blood sugar control. Low certainty evidence showed olive oil consumption reduced risk of breast, digestive, and other cancers. Moderate to very low certainty evidence suggested that canola oil and sesame oil consumption reduced body weight. The consumption of vegetable oil appears to offer different health benefits, with summary estimates indicating beneficial effects on reducing lipid concentrations, especially with monounsaturated and polyunsaturated rich oils when consumed in recommended amounts. Future research should focus on long-term studies and comprehensive dietary assessments to better understand the health impacts of vegetable oils, providing a basis for informed dietary recommendations. This study was registered at PROSPERO as CRD42021239210.
  16. Wong YJ, Shiu HY, Chang JH, Ooi MCG, Li HH, Homma R, et al.
    J Clean Prod, 2022 Sep 10;365:132893.
    PMID: 35781986 DOI: 10.1016/j.jclepro.2022.132893
    The unprecedented outbreak of COVID-19 significantly improved the atmospheric environment for lockdown-imposed regions; however, scant evidence exists on its impacts on regions without lockdown. A novel research framework is proposed to evaluate the long-term monthly spatiotemporal impact of COVID-19 on Taiwan air quality through different statistical analyses, including geostatistical analysis, change detection analysis and identification of nonattainment pollutant occurrence between the average mean air pollutant concentrations from 2018-2019 and 2020, considering both meteorological and public transportation impacts. Contrary to lockdown-imposed regions, insignificant or worsened air quality conditions were observed at the beginning of COVID-19, but a delayed improvement occurred after April in Taiwan. The annual mean concentrations of PM10, PM2.5, SO2, NO2, CO and O3 in 2020 were reduced by 24%, 18%, 15%, 9.6%, 7.4% and 1.3%, respectively (relative to 2018-2019), and the overall occurrence frequency of nonattainment air pollutants declined by over 30%. Backward stepwise regression models for each air pollutant were successfully constructed utilizing 12 meteorological parameters (R2 > 0.8 except for SO2) to simulate the meteorological normalized business-as-usual concentration. The hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model simulated the fate of air pollutants (e.g., local emissions or transboundary pollution) for anomalous months. The changes in different public transportation usage volumes (e.g., roadway, railway, air, and waterway) moderately reduced air pollution, particularly CO and NO2. Reduced public transportation use had a more significant impact than meteorology on air quality improvement in Taiwan, highlighting the importance of proper public transportation management for air pollution control and paving a new path for sustainable air quality management even in the absence of a lockdown.
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