46 research outputs found
Pakej pembelajaran tiga bahasa bermultimedia / Lim Mooi Yee
Projek Latihan Ilmiah ini merupakan kursus wajib yang perlu diambil oleh semua pelajar Sains Komputer dan Teknologi Maklumat pada tahap akhir. Projek ini adalah suatu latihan akademik didalam penyelidikan, rekabentuk, pembangunan dan komunikasi yang melibatkan prinsip-prinsip Sains Komputer. Satu Pakej Pembelajaran Tiga Bahasa Bermultimedia akan dibangunkan. Pakej ini adalah untuk para pelajar sekolah perpaduan rendah bagi Pembelajaran tiga bahasa utama iaitu Bahasa Malaysia, Bahasa Inggeris dan Bahasa Cina di Malaysia. Tujuan pembangunan sistem ini adalah untuk menyediakan alternatif kepada para pelajar mempelajari tiga bahasa itu dalam situasi yang menggembirakan dan pada masa yang singkat. Pakej pembelajaran ini dapat memberikan suatu pendekatan baru dalam penyampain pelajaran kepada para pelajar. Ini kerana ia menggunakan elemen-elemen multimedia seperti teks, animasi, bunyi dan grafik serta unsur-unsur3- Dimensi dalam penyampaian sesuatu pelajaran dan maklumat. Ini dapat menimbulkan minat dan mempercepatkan proses pembelajaran di samping merangsang minda pelajar untuk menerima pelajaran dan seterusnya menjadikan proses pembelajaran lebih berkesan. Selain itu, guru-guru juga boleh menggunakan pakej ini sebagai salah satu Alternatif Alat Bantu Mengajar (ABM) dan sumber rujukan mereka. Sebelum sistem ini dibangunkan, kajian telah dibuat terhadap pakej pembelajaran yang wujud dipasaran pada masa kini. Segala kelemahan dan kebaikan sistem tersebut akan dibandingkan. Ini adalah untuk memastikan sistem yang akan dibangunkan dapat memenuhi kehendak pengguna. Kajian mengenai bagaimana penulisan arahan komputer dan hubungannya dengan para pelajar, pendidikan dan kompuert juga dilakukan. Maka, adalah diharapkan Pakej Pembelajaran Tiga Bahasa Bermultimedia ini akan mendapat sambutan yang baik dan memenuhi kehendak pengguna Khususnya para pelajar sekolah renda
Traditional Chinese Medicine Body Constitutions as Predictors for Depression: A Systematic Review and Meta-Analysis
Traditional Chinese medicine body constitution (TCMBC) reflects a person’s vulnerability to diseases. Thus, identifying body constitutions prone to depression can help prevent and treat depression. The review aimed to assess and summarize the existing evidence that explores the relationship between TCMBC and depression. Psychology and Behavioral Sciences Collection, MEDLINE, PubMed, CNKI, Wanfang, SinoMed, Embase, VIP, CINAHL, and CMJ were searched from inception to April 2021. Observational studies assessing the association between TCMBC and depression were selected. The quality of the included studies were assessed using the Newcastle–Ottawa Scale (NOS). Eighteen studies were included in the systematic review and thirteen in the meta-analysis. The pooled odd ratios of developing depression for Qi-stagnation, Qi-deficiency, Yang-deficiency, Yin-deficiency, and Balanced constitutions were 3.12 (95% CI, 1.80–5.40; I2 = 94%), 2.15 (95% CI, 1.54–3.01; I2 = 89%), 1.89 (95% CI, 0.71–5.03; I2 = 81%), 1.41 (95% CI, 0.91–2.20; I2 = 57%), and 0.60 (95% CI, 0.40–0.90; I2 = 94%), respectively. The findings suggest that the evaluation of a person’s TCMBC could be useful the in prevention and treatment of depression. However, more case-control and cohort studies are required to further confirm the association between TCMBC and depression
Identification of potential protein biomarkers in a depressed chinese malaysian university student using liquid chromatography-tandem mass spectrometry
Depression is a serious psychological disorder with high prevalence rates, especially among university students. Serum proteins related to the immune system and oxygen and lipid transfer could have contributing roles in the development of depression and could act as biomarkers for depression. Currently, there is a lack of accurate biological methods that can be used to diagnose depression. Biomarkers could be an inexpensive and convenient way to predict depression and understand its pathophysiology. This study aimed to screen the serum proteome profile of a depressed student for the identification of potential depression biomarkers. A Malaysian private university student who was recruited from the pre-test study (n = 10) was further analyzed for serum proteome due to the fact that he was depressed, with scores of 15 out of 27 on the Patient Health Questionnaire (PHQ-9). After depleting the high-abundance proteins from the serum sample, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed to identify the expressed proteins. A total of 224 proteins were identified. Globins, globulins, apolipoproteins and glycoproteins were most commonly detected. Here, we show the potential biomarkers that can be used to identify depression vulnerable individuals. These findings may be relevant to the development of new diagnostic and treatment strategies. However, further studies with larger sample sizes and healthy controls are needed to confirm the role of these candidate biomarkers for the prediction and diagnosis of depression
Prevalence of Depression and its Associated Risk Factors among University Students in Malaysia: A Pilot Study
Identification of Potential Protein Biomarkers in a Depressed Chinese Malaysian University Student Using Liquid Chromatography-Tandem Mass Spectrometry
Depression is a serious psychological disorder with high prevalence rates, especially among university students. Serum proteins related to the immune system and oxygen and lipid transfer could have contributing roles in the development of depression and could act as biomarkers for depression. Currently, there is a lack of accurate biological methods that can be used to diagnose depression. Biomarkers could be an inexpensive and convenient way to predict depression and understand its pathophysiology. This study aimed to screen the serum proteome profile of a depressed student for the identification of potential depression biomarkers. A Malaysian private university student who was recruited from the pre-test study (n = 10) was further analyzed for serum proteome due to the fact that he was depressed, with scores of 15 out of 27 on the Patient Health Questionnaire (PHQ-9). After depleting the high-abundance proteins from the serum sample, liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed to identify the expressed proteins. A total of 224 proteins were identified. Globins, globulins, apolipoproteins and glycoproteins were most commonly detected. Here, we show the potential biomarkers that can be used to identify depression vulnerable individuals. These findings may be relevant to the development of new diagnostic and treatment strategies. However, further studies with larger sample sizes and healthy controls are needed to confirm the role of these candidate biomarkers for the prediction and diagnosis of depression
Traditional Chinese Medicine Body Constitutions and Psychological Determinants of Depression among University Students in Malaysia: A Pilot Study
Depression is commonly observed in university students, who are a high risk group for developing psychiatric disorders during adulthood. This study aimed to determine the prevalence of depression and its traditional Chinese medicine body constitutions and psychological determinants among university students in Malaysia. A cross-sectional pilot study was conducted between 9 and 28 September 2020 among 80 university students in Malaysia. Participants completed online survey questionnaires, including the validated Patient Health Questionnaire (PHQ-9), Constitution in Chinese Medicine Questionnaire (CMCQ), Dysfunctional Attitude Scale (DAS), Depression Anxiety Stress Scale (DASS-21) stress subscale, Perceived Stress Scale (PSS-10), and Rosenberg Self-Esteem Scale (RSES), which assess depression, body constitution, dysfunctional attitude, stress, perceived stress, and self-esteem. Multiple linear regression analyses were performed to determine the associated risk factors for depression. The overall prevalence of depression among university students was 33.8%. The multiple regression analysis showed a significant relationship between depression and qi-stagnation constitution (B = 0.089, p = 0.011), balanced constitution (B = −0.077, p = 0.049), and self-esteem (B = −0.325, p = 0.001). Our findings suggest that some traditional Chinese medicine body constitutions and self-esteem are significant risk factors affecting depression among university students. Identifying risk factors of depression is vital to aid in the early detection of depression among university students
Validation of a Malay Version of the Smartphone Addiction Scale among Medical Students in Malaysia.
This study was initiated to determine the psychometric properties of the Smart Phone Addiction Scale (SAS) by translating and validating this scale into the Malay language (SAS-M), which is the main language spoken in Malaysia. This study can distinguish smart phone and internet addiction among multi-ethnic Malaysian medical students. In addition, the reliability and validity of the SAS was also demonstrated.A total of 228 participants were selected between August 2014 and September 2014 to complete a set of questionnaires, including the SAS and the modified Kimberly Young Internet addiction test (IAT) in the Malay language.There were 99 males and 129 females with ages ranging from 19 to 22 years old (21.7±1.1) included in this study. Descriptive and factor analyses, intra-class coefficients, t-tests and correlation analyses were conducted to verify the reliability and validity of the SAS. Bartlett's test of sphericity was significant (p <0.01), and the Kaiser-Mayer-Olkin measure of sampling adequacy for the SAS-M was 0.92, indicating meritoriously that the factor analysis was appropriate. The internal consistency and concurrent validity of the SAS-M were verified (Cronbach's alpha = 0.94). All of the subscales of the SAS-M, except for positive anticipation, were significantly related to the Malay version of the IAT.This study developed the first smart phone addiction scale among medical students. This scale was shown to be reliable and valid in the Malay language
Prevalence and factors associated with internet addiction among medical students - a cross-sectional study in Malaysia
Introduction: Internet is important to university students, especially for medical students who use it to search for literature and relevant information. However, some of the users are experiencing a gradual loss of the ability to reduce the duration and frequency of their internet activities, despite the negative consequences. The literature on internet usage among Malaysian medical students is limited. This study aims to determine the prevalence and factors associated with internet usage among medical students in a public university in Malaysia.
Methods: This cross-sectional study was performed among all the medical students (Year 1-5). Students were assessed on their internet activities using the internet addiction questionnaires (IAT). A Multiple Logistic Regression was used for data analysis.
Results: The study was conducted among 426 students. The study population consisted of 156 males (36.6%) and 270 females (63.4%). The mean age was 21.6 ±1.5 years. Ethnicity distribution among the students was: Malays (55.6%), Chinese (34.7%), Indians (7.3%) and others (2.3%). According to the IAT, 36.9% of the study sample was addicted to the internet. Using the multivariate logistic regression analysis, we have found that the use of internet access for entertainment purposes (odds ratio [OR] 3.5, 95% confidence interval [CI] 1.05-12.00), male students (OR 1.8, 95% CI 1.01-3.21) and increasing frequency of internet usage were associated with internet addiction (OR 1.4, 95% CI 1.09-1.67).
Conclusion: Internet addiction is a relatively frequent phenomenon among medical students. The predictors of internet addiction were male students using it for surfing and entertainment purposes
Prevalence and factors associated with burnout among healthcare providers in Malaysia: a web-based cross-sectional study
Background:
This study aimed to assess the determinants of burnout among healthcare providers in the primary care setting.
Methods:
A web-based cross-sectional study was conducted among 1280 healthcare providers aged 18 years and older from 30 primary care clinics in Selangor, Malaysia. In this study, the Copenhagen Burnout Inventory was used to assess burnout. The results were analyzed using multiple logistic regression.
Results:
The prevalence of personal burnout was 41.7%, followed by work-related burnout (32.2%) and client-related burnout (14.5%). The determinants for personal burnout in this study were younger age, being a doctor, higher COVID-19 exposure risk, do not know where to seek help, inability to handle stress, poorer sleep quality score, higher total COVID-19 fear score, higher total stress score, and lower total BRS score. The determinants of work-related burnout were younger age, being a doctor, longer years of working, higher COVID-19 exposure risk, do not know where to seek help, lower altruistic score, poorer sleep quality score, higher total stress score, and lower total brief resilience score (BRS) score. The determinants of client-related burnout were doctor, single/divorced, more than one attachment site, and higher satisfaction toward the infection control, inability to handle stress, higher total depression score, and lower total BRS score.
Conclusion:
Every fourth out of ten suffered from personal burnout, one-third from work-related burnout, and one-seventh from client-related burnout among healthcare providers during the COVID-19 pandemic. Healthcare systems must take care of healthcare workers’ physical and emotional depletion, reducing the risk of burnout
Concurrent validity of SAS-M (Pearson’s correlation): Subscales of the SAS-M and the Malay version of the IAT.
<p>* = <i>p</i> < 0.05</p><p>** = <i>p</i> < 0.01</p><p>Concurrent validity of SAS-M (Pearson’s correlation): Subscales of the SAS-M and the Malay version of the IAT.</p
