Displaying publications 1 - 20 of 302 in total

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  1. ldanerina, M.S., Aniza, I., Jamsiah, M., Mohd. Hasni, J., Idayu, B.
    MyJurnal
    Diabetes mellitus is the most common endocrine defect among children. Good diabetes management is important to give better health for both the children and the whole family. The goal of this study was to identify the level of mother involvement in children type·1 Diabetes Mellitus management, to identify factors related with mother involvement and to determine the relationships between mother
    involvement and glycemic control. A cross·sectional study was carried out with 92 respondents selected by universal sampling from mothers who had diabetic children aged 5-15 years old and from medical visit appointment at University Kebangsaan Malaysia Medical Centre (UKMMC) and Putrajaya Hospital (HP1). Data was obtained through medical record and self reporting questionnaire. The study shown that 58.6% mothers had high involvement and 41.4% mothers had low involvement. Mothers' education level had a significant (p=0.0Z) relationship with a level of mother involvement. Most mothers gave high involvement in diet management (64.1%) and blood glucose monitoring (52. 7%), however most mothers gave low involvement in exercise management (63.0%) and insulin injection (60.9%). Mothers involvement in four management tasks were not statistically significant (p>0,05) with glycemic control. Mothers involvement in children diabetic management was high. There was high mother involvement in children's insulin injection and dietary intake and low mother involvement in children`s blood glucose monitoring and exercise, This study abo showed that there was no significant relationship between level of mother involvement and glycemic control.
    Matched MeSH terms: Goals
  2. Zhu TH, Mooi CS, Shamsuddin NH, Mooi CS
    World J Diabetes, 2019 Jul 15;10(7):403-413.
    PMID: 31363387 DOI: 10.4239/wjd.v10.i7.403
    BACKGROUND: There are limited studies on diabetes empowerment among type 2 diabetes patients, particularly in the primary care setting.

    AIM: To assess the diabetes empowerment scores and its correlated factors among type 2 diabetes patients in a primary care clinic in Malaysia.

    METHODS: This is a cross sectional study involving 322 patients with type 2 diabetes mellitus (DM) followed up in a primary care clinic. Systematic sampling method was used for patient recruitment. The Diabetes Empowerment Scale (DES) questionnaire was used to measure patient empowerment. It consists of three domains: (1) Managing the psychosocial aspect of diabetes (9 items); (2) Assessing dissatisfaction and readiness to change (9 items); and (3) Setting and achieving diabetes goal (10 items). A score was considered high if it ranged from 100 to 140. Data analysis was performed using SPSS version 25 and multiple linear regressions was used to identify the predictors of total diabetes empowerment scores.

    RESULTS: The median age of the study population was 55 years old. 56% were male and the mean duration of diabetes was 4 years. The total median score of the DES was 110 [interquartile range (IQR) = 10]. The median scores of the three subscales were 40 with (IQR = 4) for "Managing the psychosocial aspect of diabetes"; 36 with (IQR = 3) for "Assessing dissatisfaction and readiness to change"; and 34 with (IQR = 5) for "Setting and achieving diabetes goal". According to multiple linear regressions, factors that had significant correlation with higher empowerment scores among type 2 diabetes patients included an above secondary education level (P < 0.001), diabetes education exposure (P = 0.003), lack of ischemic heart disease (P = 0.017), and lower glycated hemoglobin (HbA1c) levels (P < 0.001).

    CONCLUSION: Diabetes empowerment scores were high among type 2 diabetes patients in this study population. Predictors for high empowerment scores included above secondary education level, diabetes education exposure, lack of ischemic heart disease status and lower HbA1c.

    Matched MeSH terms: Goals
  3. Zayer, Iman, Aris, I.B., Marhaban, M.H, Ishak, A.J
    MyJurnal
    The new millennium witnessed increasing attention to the field of robotics, especially the development of humanoid bipedal robot. Attention is noticed from the increasing number of publications as a result of a multitude of humanoid projects for commercial and academic goals. This paper briefly visits the recent activities in this field, highlighting the importance and motivation behind adopting bipedal humanoid projects, particularly underlining biologically inspired design concept, bipedal locomotion and communication. Ultimately, emphasising on power-efficient design. The problem of endurance and effective duty cycle were presented. Finally, potential future application for the humanoid robot was briefly listed.
    Matched MeSH terms: Goals
  4. Zainab Shakir Radif, Aidy Ali, Khalina Abdan
    MyJurnal
    This study was conducted for the development of the green protection garments. For this purpose, laminate composite material was developed from Kevlar 29-ramie-unsaturated polyester resin. The aim of this study was to develop a solid body armour that meets the specific requirements of ballistic resistance. This composite is subjected to high impact loading. The target was shot using gas gun machine that is supported by camera hardware to capture the projectile speed. In order to achieve the goal of the research, several experiments were conducted with the aim to estimate the ballistic limit, maximum energy absorption, composite failure mode, life time rupture, target geometry, and environmental effect. The results of these experiments indicated that the maximum ballistic limit validated at impact speed is in the range of 250 m/s to 656.8 m/s for the second protection level. The targets are improved in term of the impact response with the increase in the relative humidity, i.e. the range of 50% ± 20%, whereas, reduction of resistance results in the increase of temperature. The range of temperatures was between 20oC and 70oC. A limited delamination was generated under multiple shots. Targets geometry plays a major role in increasing the impact response. Hence, the results present a high resistant impact for pairs from the panels with total thickness arrived to 15
    mm ± 3 mm. This body armour is one of the most economical armour products, in which common materials are used in its production, particularly to reduce the amount of Kevlar, and this could further lead to a decrease in its production cost. On the other hand, this armour meets the ballistic threats under 623 m/s of 15 mm ± 3 mm target thickness and 837.5 m/s of 25 mm ± 2.mm. Thus, the armour is equivalent to the third level of protective ballistic limits in the National Institute of Justice (NIJ) standards.
    Matched MeSH terms: Goals
  5. Zafir M.M., Fazilah M.H.
    MyJurnal
    Ergonomics management is a process that will have a significant, positive effect on a company’s profits through cost reduction, quality improvement, performance improvement and productivity enhancement. Also known as human factors of human engineering, it basically describes the interaction between an employee and his/her job functions, with the emphasis being on reducing unnecessary physical stress in the workplace. The goal of ergonomics is to enable workers to be more effective by matching the requirements and demands of the job to the abilities and limitations of the workers rather than trying to force the workers to fit the job. This paper theoretically describes the benefits of understanding the ergonomics to the workplace. The components and activities required to implement ergonomics management also have been discussed. Besides that, the practical approach of ergonomics has been described by giving practical workplace improvement suggested by scholars. By approaching work practices (stretching, reaching, and sitting) from an ergonomically correct point of view, a worker actually becomes stronger, healthier and more productive.
    Matched MeSH terms: Goals
  6. Zafar R, Kamel N, Naufal M, Malik AS, Dass SC, Ahmad RF, et al.
    J Integr Neurosci, 2017;16(3):275-289.
    PMID: 28891512 DOI: 10.3233/JIN-170016
    Decoding of human brain activity has always been a primary goal in neuroscience especially with functional magnetic resonance imaging (fMRI) data. In recent years, Convolutional neural network (CNN) has become a popular method for the extraction of features due to its higher accuracy, however it needs a lot of computation and training data. In this study, an algorithm is developed using Multivariate pattern analysis (MVPA) and modified CNN to decode the behavior of brain for different images with limited data set. Selection of significant features is an important part of fMRI data analysis, since it reduces the computational burden and improves the prediction performance; significant features are selected using t-test. MVPA uses machine learning algorithms to classify different brain states and helps in prediction during the task. General linear model (GLM) is used to find the unknown parameters of every individual voxel and the classification is done using multi-class support vector machine (SVM). MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. The proposed method showed better overall accuracy (68.6%) compared to ROI (61.88%) and estimation values (64.17%).
    Matched MeSH terms: Goals
  7. Yıldırım Ö, Pławiak P, Tan RS, Acharya UR
    Comput Biol Med, 2018 11 01;102:411-420.
    PMID: 30245122 DOI: 10.1016/j.compbiomed.2018.09.009
    This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal analysis. Cardiovascular disease prevention is one of the most important tasks of any health care system as about 50 million people are at risk of heart disease in the world. Although automatic analysis of ECG signal is very popular, current methods are not satisfactory. The goal of our research was to design a new method based on deep learning to efficiently and quickly classify cardiac arrhythmias. Described research are based on 1000 ECG signal fragments from the MIT - BIH Arrhythmia database for one lead (MLII) from 45 persons. Approach based on the analysis of 10-s ECG signal fragments (not a single QRS complex) is applied (on average, 13 times less classifications/analysis). A complete end-to-end structure was designed instead of the hand-crafted feature extraction and selection used in traditional methods. Our main contribution is to design a new 1D-Convolutional Neural Network model (1D-CNN). The proposed method is 1) efficient, 2) fast (real-time classification) 3) non-complex and 4) simple to use (combined feature extraction and selection, and classification in one stage). Deep 1D-CNN achieved a recognition overall accuracy of 17 cardiac arrhythmia disorders (classes) at a level of 91.33% and classification time per single sample of 0.015 s. Compared to the current research, our results are one of the best results to date, and our solution can be implemented in mobile devices and cloud computing.
    Matched MeSH terms: Goals
  8. Yulita Y, Idris MA, Dollard MF
    Int J Occup Saf Ergon, 2020 Oct 15.
    PMID: 32912109 DOI: 10.1080/10803548.2020.1822054
    Objective. Our innovation was to propose a multilevel model to explain how an organizational factor, psychosocial safety climate (PSC) - the climate for worker psychological health - related to work investment (work engagement and workaholism) and, in turn, psychological distress. Methods. Longitudinal data were collected in Peninsular Malaysia across 26 police departments from 392 police personnel, matched across 4 months, and were tested using hierarchical linear modeling. Results. The analysis revealed between-group effects linking PSC to job resources, to work engagement and to workaholism. When PSC operated by improving job resources, aside from increased work engagement, it could unwittingly boost workaholism. However, this only existed under low PSC conditions. The secondary function of PSC buffered the impact of job resources on workaholism and psychological distress. When PSC was high, job resources reduced both workaholism and psychological distress, suggesting that PSC enabled resources to do their job of mitigating unfavorable conditions. Conclusions. Results support a multilevel PSC-extended job demands-resources motivational path with cross-links, and PSC's moderation function, as an explanation of worker psychological health. Confirming PSC as a leading indicator and the importance of a motivational path, this article presents new evidence in support of targeting PSC to improve worker psychological health.
    Matched MeSH terms: Goals
  9. Yudin ZM, Yaacob LH, Hassan NB, Ismail SB, Draman N, Yusoff SSM
    Malays J Med Sci, 2017 May;24(3):44-50.
    PMID: 28814932 MyJurnal DOI: 10.21315/mjms2016.24.3.6
    BACKGROUND: Statins are a class of potent drugs that can be used to reduce cholesterol, especially low-density lipoprotein cholesterol (LDL-C). However, their effectiveness is limited if adherence to treatment is poor. The objectives of the study are to estimate the proportion of diabetic patient who has achieved LDL-C goal and to determine the association of LDL-C achievement with socio demographic factors and statin therapy adherence.

    METHODS: This is a cross-sectional study involving 234 patients with type 2 diabetes mellitus (T2DM) and dyslipidaemia attending an outpatient clinic in a hospital in Kelantan. Interviews and self-administered questionnaires were used to determine their sociodemographic and clinical characteristics. Adherence to therapy was assessed using the Medication Compliance Questionnaire (MCQ). The associations between the achievement of LDL targets and sociodemographic/clinical factors, including adherence, were analysed with simple logistic regression.

    RESULTS: About 37.6% of patients achieved their LDL-C target. The percentage of patients who adhered to statin use was 98.3%, and 20.5% of these patients reported full adherence. There was no significant association between achievement of LDL-C targets with adherence or any other sociodemographic factors, such as age, gender and educational or economic status (all P-value < 0.05).

    CONCLUSION: Despite a high level of adherence, the majority of patients failed to achieve LDL-C targets. More concerted efforts are needed to improve this.

    Study site: primary
    care clinic in Hospital Universiti Sains Malaysia,
    Matched MeSH terms: Goals
  10. You HW, Abdul Rahman A, Hendri Dwisatrya LH
    Data Brief, 2020 Aug;31:105783.
    PMID: 32642504 DOI: 10.1016/j.dib.2020.105783
    Road traffic accidents have been recognised as a leading cause of death, and one of the prominent public health problems. The human factor, which is the driving behaviour in particular, is said to be the main cause. In line with this, the objective of this research is to present a data article on the response of driving behaviours among drivers. Driving behaviours have been classified into five dimensions, which are speeding, improper overtaking, mobile phone use while driving, tail-gating and disobeying traffic lights. A quantitative study was conducted with a sample size of 160 drivers consisting of residents in a suburban of Selangor, Malaysia. A stratified random sampling method was adopted to identify the respondents. Data analysis was presented in the form of descriptive statistics and tables. The findings show that the majority of respondents agreed that they have driving behaviours that involve improper overtaking, tail-gating and disobeying traffic lights.
    Matched MeSH terms: Goals
  11. Yaradoddi JS, Banapurmath NR, Ganachari SV, Soudagar MEM, Mubarak NM, Hallad S, et al.
    Sci Rep, 2020 12 15;10(1):21960.
    PMID: 33319818 DOI: 10.1038/s41598-020-78912-z
    The main goal of the present work was to develop a value-added product of biodegradable material for sustainable packaging. The use of agriculture waste-derived carboxymethyl cellulose (CMC) mainly is to reduce the cost involved in the development of the film, at present commercially available CMS is costly. The main focus of the research is to translate the agricultural waste-derived CMC to useful biodegradable polymer suitable for packaging material. During this process CMC was extracted from the agricultural waste mainly sugar cane bagasse and the blends were prepared using CMC (waste derived), gelatin, agar and varied concentrations of glycerol; 1.5% (sample A), 2% (sample B), and 2.5% (sample C) was added. Thus, the film derived from the sample C (gelatin + CMC + agar) with 2.0% glycerol as a plasticizer exhibited excellent properties than other samples A and B. The physiochemical properties of each developed biodegradable plastics (sample A, B, C) were characterized using Fourier Transform Infra-Red (FTIR) spectroscopy and Differential Scanning Calorimetry (DSC), Thermogravimetric analysis (TGA). The swelling test, solubility in different solvents, oil permeability coefficient, water permeability (WP), mechanical strength of the produced material was claimed to be a good material for packaging and meanwhile its biodegradability (soil burial method) indicated their environmental compatibility nature and commercial properties. The reflected work is a novel approach, and which is vital in the conversion of organic waste to value-added product development. There is also another way to utilize commercial CMC in preparation of polymeric blends for the packaging material, which can save considerable time involved in the recovery of CMC from sugarcane bagasse.
    Matched MeSH terms: Goals
  12. Xavier, Gregory, Anselm, Su Ting, Teh, Jo Hun
    MyJurnal
    Background: Working in the healthcare industry has its effects on the female workers fecundity. Disorders of reproduction is listed as one of the top ten leading work-related diseases and injuries. The objective of this study is to observe the occurrences of adverse pregnancy outcomes among female healthcare workers in relation to their work schedules and identify the most frequent adverse pregnancy outcome. Methods: A cross-sectional study was carried out obtaining pregnancy history and work schedule in the past three years. In the present study 469 respondents were obtained; 339 healthcare and 130 non-healthcare workers reporting a total of 564 pregnancies. Results: In this study, adverse pregnancy outcomes among female healthcare workers is significantly higher than non-healthcare workers. There is no significant findings between healthcare and non-healthcare workers with respect to the types of adverse pregnancy outcomes and the work schedule. However, from the respondents' lifetime pregnancy outcome, it is found that complete miscarriage occurred most frequently at 26.7% and among healthcare workers who work on shift. Conclusion: Healthcare workers carry a higher risk to experience adverse pregnancy outcome with complete miscarriage being the most common and most of these experiences occurs among those who work on shift/on-call.
    Matched MeSH terms: Goals
  13. Wu YS, Lee ZY, Chuah LH, Mai CW, Ngai SC
    Curr Cancer Drug Targets, 2019;19(2):82-100.
    PMID: 29714144 DOI: 10.2174/1568009618666180430130248
    Despite advances in the treatment regimen, the high incidence rate of breast cancer (BC) deaths is mostly caused by metastasis. Recently, the aberrant epigenetic modifications, which involve DNA methylation, histone modifications and microRNA (miRNA) regulations become attractive targets to treat metastatic breast cancer (MBC). In this review, the epigenetic alterations of DNA methylation, histone modifications and miRNA regulations in regulating MBC are discussed. The preclinical and clinical trials of epigenetic drugs such as the inhibitor of DNA methyltransferase (DNMTi) and the inhibitor of histone deacetylase (HDACi), as a single or combined regimen with other epigenetic drug or standard chemotherapy drug to treat MBCs are discussed. The combined regimen of epigenetic drugs or with standard chemotherapy drugs enhance the therapeutic effect against MBC. Evidences that epigenetic changes could have implications in diagnosis, prognosis and therapeutics for MBC are also presented. Several genes have been identified as potential epigenetic biomarkers for diagnosis and prognosis, as well as therapeutic targets for MBC. Endeavors in clinical trials of epigenetic drugs against MBC should be continued although limited success has been achieved. Future discovery of epigenetic drugs from natural resources would be an attractive natural treatment regimen for MBC. Further research is warranted in translating research into clinical practice with the ultimate goal of treating MBC by epigenetic therapy in the near future.
    Matched MeSH terms: Goals
  14. Wong YS, Allotey P, Reidpath DD
    PMID: 29868204 DOI: 10.1017/gheg.2016.8
    Universal health coverage is a key health target in the Sustainable Development Goals (SDGs) that has the means to link equitable social and economic development. As a concept firmly based on equity, it is widely accepted at international and national levels as important for populations to attain 'health for all' especially for marginalised groups. However, implementing universal coverage has been fraught with challenges and the increasing privatisation of health care provision adds to the challenge because it is being implemented in a health system that rests on a property regime that promotes inequality. This paper asks the question, 'What does an equitable health system look like?' rather than the usual 'How do you make the existing health system more equitable?' Using an ethnographic approach, the authors explored via interviews, focus group discussions and participant observation a health system that uses the commons approach such as which exists with indigenous peoples and found features that helped make the system intrinsically equitable. Based on these features, the paper proposes an alternative basis to organise universal health coverage that will better ensure equity in health systems and ultimately contribute to meeting the SDGs.
    Matched MeSH terms: Goals
  15. William T, Menon J
    Med J Malaysia, 2014 Aug;69 Suppl A:82-7.
    PMID: 25417955 MyJurnal
    One hundred and thirteen articles related to Malaria were found in a search through a database dedicated to indexing all original data relevant to medicine published in Malaysia between the years 2000-2013. Thirty eight articles were selected and reviewed on the basis of clinical relevance and future research implications. The epidemiology of malaria has undergone a significant change over the last decade with P. knowlesi, formerly a relatively unknown simian parasite rapidly becoming the most predominant malaria species to infect humans in Malaysia. The epidemiology, clinical features, diagnostic methods and treatment for P. knowlesi infection are described in these studies. In Malaysia, imported malaria from foreigners also poses a challenge. In view of these changes, new strategies on malaria control need to be devised and implemented, and treatment regimens need to be redefined to help Malaysia achieve the goal of malaria elimination by the year 2020.
    Matched MeSH terms: Goals
  16. Wahome M, Rubinstein E
    Malays J Med Sci, 2011 Jul;18(3):1-3.
    PMID: 22135594 MyJurnal
    If Malaysia is to become a high-income country by 2020, it will have to transform into a knowledge-based, innovation economy. This goal will be achieved by developing an atmosphere conducive to experimentation and entrepreneurship at home; while reaching out to partners across the globe. One of Malaysia's newest partnerships is with the New York Academy of Sciences. The Academy has expertise in innovation and higher education and a long history of promoting science, education, and science-based solutions through a global network of scientists, industry-leaders, and policy-makers. Malaysia's Prime Minister, Dato' Sri Mohd Najib Tun Abdul Razak, leveraged the Academy's network to convene a science, technology, and innovation advisory council. This council would provide practical guidance to establish Malaysia as an innovation-based economy. Three initial focus areas, namely palm-oil biomass utilisation, establishment of smart communities, and capacity building in science and engineering, were established to meet short-term and long-term targets.
    Matched MeSH terms: Goals
  17. Vijayasingham L, Mairami FF
    PMID: 30050385 DOI: 10.2147/DNND.S131729
    Patients with multiple sclerosis tend to report higher levels of work difficulties and negative outcomes, such as voluntary and involuntary work termination and reduced work participation. In this article, we discuss the complex interactions of disease, personal coping strategies, and social and structural factors that contribute to their work experiences and outcomes. An overview of the coping strategies and actions that leverage personal and context-level factors and dynamics is also provided to support the overall goal of continued work in patients with MS.
    Matched MeSH terms: Goals
  18. Vijay AP, Chan SP
    JUMMEC, 2009;12(2):47-56.
    MyJurnal
    Achieving and maintaining good glycaemic control remains an important goal in the management of this common and prevalent disorder. Recent evidence from important megatrials, ACCORD, ADVANCE, VADT, UKPDS-10 year follow-up as well as the STENO-2 follow-up study, have cleared doubts concerning the benefits of targeting good glycaemic control. For the first time, we have the reassurance that macrovascular benefits can be realised from good glycaemic control. The legacy effect of prior good glucose control from the UKPDS-10 year follow-up, reinforces the results seen from the DCCT-EDIC (for Type 1 diabetes). The Intervention Phase of the UKPDS revealed benefits for reduction of microvascular complications, while it was only at the end of the Post-Trial Monitoring Phase where significant improvements in both micro and macrovascular outcomes were seen. The other three Trials assessing the effect of glycaemic control on cardiovascular outcomes, although largely negative for CV benefit, give valuable insight towards appropriate patient characteristics for which aggressive glucose control can and should be instituted. Individualising glycaemic targets, which has been the approach that many clinicians have been practising, has received new impetus albeit with clearer details. Getting to glycaemic goal early in the course of T2DM and Doing to Safely (Avoiding hypoglycaemia)are the key ingredients to successful management. The legacy of the memory of initial good metabolic/glycaemic control is investment in good health with benefits of reductions in both micro and more importantly, macrovascular disease, years later. Multifactorial interventions that include blood pressure, lipid lowering in addition to glucose control in these individuals with the Metabolic Syndrome result in more immediate beneficial additive effects on cardiovascular outcomes.
    Matched MeSH terms: Goals
  19. Uthaya Kumar A, Kadiresen K, Gan WC, Ling APK
    Clin Exp Vaccine Res, 2021 Jan;10(1):13-23.
    PMID: 33628750 DOI: 10.7774/cevr.2021.10.1.13
    The primary outbreak of severe acute respiratory syndrome coronavirus 2, causing pneumonia-like symptoms in patients named coronavirus disease 2019 (COVID-19) had evolved into a global pandemic. COVID-19 has surpassed Middle East respiratory syndrome and severe acute respiratory syndrome in terms of rate and scale causing more than one million deaths. Development of an effective vaccine to fight against the spread of COVID-19 is the main goal of many countries around the world and plant-based vaccines are one of the available methods in vaccine developments. Plant-based vaccine has gained its reputation among researchers for its known effective manufacturing process and cost effectiveness. Many companies around the world are participating in the race to develop an effective vaccine by using the plant system. This review discusses different approaches used as well as highlights the challenges faced by various companies and research groups in developing the plant-based COVID-19 vaccine.
    Matched MeSH terms: Goals
  20. Upadhyay DK, Mohamed Ibrahim MI, Mishra P, Alurkar VM
    BMC Health Serv Res, 2015;15:57.
    PMID: 25888828 DOI: 10.1186/s12913-015-0715-5
    Patient satisfaction is the ultimate goal of healthcare system which can be achieved from good patient-healthcare professional relationship and quality of healthcare services provided. Study was conducted to determine the baseline satisfaction level of newly diagnosed diabetics and to explore the impact of pharmaceutical care intervention on patients' satisfaction during their follow-ups in a tertiary care teaching hospital in Nepal.
    Matched MeSH terms: Goals
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