93 research outputs found
Determinants of Leptospirosis preventive practices among the community in a flood-prone residential area in Kuantan, Malaysia
No full textIntroduction: Leptospirosis is a preventable zoonosis of public health importance. Due to increasing incidence of leptospirosis and seasonal floods affecting Kuantan community, a study was conducted to identify the determinants of leptospirosis preventive practices. Methods: A cross-sectional study was carried out in Perkampungan Sungai Isap, Kuantan, Pahang, Malaysia, which obtained 568 respondents by stratified proportionate random sampling technique. Data was collected using a modified guided questionnaire and analysed using IBM SPSS version 22.0. Results: Majority of the respondents were females (52.6%), Malay ethnicity (98.8%), attended up to secondary school (57.2%), worked in low-risk occupational group (96.0%) and reside in moderate-risk stratum (55.6%). Overall, majority (68%) of the respondents had good knowledge. However, only 38% of the respondents had satisfactory attitude and 18% had satisfactory practice. There were significant associations between stratum and leptospirosis preventive practices (?2=11.84, df=2, p=0.003), age group and leptospirosis preventive practices (?2=7.41, df=2, p=0.03) and personal income and leptospirosis preventive practices (?2=6.32, df=1, p=0.01). Multivariate logistic regression showed that the predictors of satisfactory leptospirosis preventive practices were high-risk stratum (aOR: 3.69, 95% CI: 1.71-8.00, p=0.001) and monthly personal income of less than RM1000 (aOR: 1.65, 95% CI: 1.05-2.59, p=0.03). Conclusions: Leptospirosis can be prevented by having adequate awareness regarding the disease through health promotional activities especially before, during and after flooding, targeting more on those in low to moderate risk areas and higher income group to prevent potential outbreaks
Psychometric properties of the depression anxiety stress scale 21-item (DASS-21) Malay version among a big sample population of Non-Malays in Malaysia
No full textIntroduction: The Malay version of Depression Anxiety Stress Scale 21-item (M-DASS-21) has been tested in various populations in Malaysia. We are interested to look at the psychometric properties of the M-DASS-21 among
Non-Malays in Malaysia. Objectives: This study aimed to analyse its psychometric values among non-Malays based on a big sample size. The analysis was based on Exploratory Factor Analysis and construct validity.
Methodology: The data was captured through online web-based assessment. Incomplete entries and the Malay subjects were excluded and analysis was based on 33 655 completed entries which fulfilled the inclusion criteria.
Results: We obtained Cronbach’s alpha values of 0.92, 0.86 and 0.86 respectively for Depression, Anxiety and Stress domains. Rotated component analysis showed very good factor loadings for most items to their respective
domains. All items displayed good factor loadings (>0.4) except 1 item. The non-fixed analysis showed the M- DASS-21 consisted of 2 domains and Stress items loaded equally to Depression and Anxiety domains. Conclusion: Results of this study show that the psychometric values of the M-DASS-21 among Non-Malays are good and the results reflex that M-DASS-21 is a valid and reliable tool for Non-Malays in Malaysia
Supervised machine learning in predicting depression, anxiety and stress using web-based big data: preserving the humanistic intellect
No full textIntroduction; The validated Depression, Anxiety and Stress Scale, 21 items (DASS-21) offers an insight on categorizing
individuals into severity of each condition. The
advancement in public health big data provides a platform
for early detection and prompt treatment of individuals.
However, there are lacking evidence on prediction accuracy
of these data using artificial intelligence methods.
Objectives
1. To determine accuracy of supervised machine learning
in predicting depression, anxiety and stress using big
data.
2. To determine the most important predictor of
depression, anxiety and stress using machine learning
model
Method; Cross sectional study using secondary data obtained from an online resource center was conducted, involving 339,781 respondents.
Outcomes were depression, anxiety and stress were
measured using DASS21. Each outcome was modelled with the rest of the outcome, plus gender, age, race, marital status, education level and occupational status. Feed-forward artificial neural network was modelled using multilayer perceptron machine learning procedure
using IBM SPSS version
Managing financial stress through Islamic wealth management: an appreciation of Hifz al-Mal
No full textIntroduction: Malaysia is one of the most successful countries in the world in relation to banking and finance sector. With a comprehensive legal framework that appreciates both of conventional (CBF) and Islamic banking and finance (IBF), Malaysia manages to allow both sectors to grow as industries of their own. Nevertheless, financial stress among citizens especially millennials remains high with increasing of household debts. While looking closely to the practice of Islamic wealth management in Malaysia, this research paper evaluates the existence of financial stress among Malaysians. This paper also appreciates the concept of Hifz al-Mal in practising the Islamic wealth management. It is found that financial stress is real among Malaysians. Materials and method: The main research methodology for this research is the qualitative investigation approach with an analysis of news reporting, an observation from the work field, and naturalistic interpretation. Results: The uncontrolled dependency on debts in having luxurious life style can be attributed to the existence of financial stress. An early exposure to Islamic wealth management among Malaysians may lead to a better life style and debt management. By doing so, not only Hifz al-Mal can be achieved but also a better life style can be reached. Moreover, it can reduce the dependency on debts and decrease the financial stress. Conclusion: Thus, an appreciation of Hifz al-Mal should be applied in managing financial stress through Islamic wealth management. This is believed that it will be able to eliminate financial stress and freedom of debts
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No full textThis document is designed as problem-based learning teaching material for medical students
Abstract for 3rd World Congress on Integration and Islamicisation 2021: mental health & well being in the 4th Industrial Revolution
No full textMapping the landscape: Malaysian Muslim women's insights on human milk banking through the Islamic lens
No full textINTRODUCTION: Donated human milk in human milk bank (HMB) is healthier for preterm babies compared to formula milk. In 2022, Halimatussaadiah milk bank was established in Pahang, Malaysia. The objective of this study was to determine the knowledge, attitudes, and behaviours of Malaysian Muslim mothers towards HMB and its Islamic perspectives. MATERIALS AND METHODS: From July 2021 to January 2023, a Pahang state multicentred cross-sectional study was carried out at Sultan Ahmad Shah Medical Centre, Hospital Tengku Ampuan Afzan, and Hospital Sultan Haji Ahmad Shah. 793 Muslim Malaysian women who had delivered and breastfed at least one child before, completed validated self-administered Google Form questionnaires, encompassing knowledge, attitude, and behaviour towards HMB. RESULTS: The participants, averaging 32.67 years old, were mostly well-educated with an average of 2 children and a monthly household income of approximately MYR 4,500.00. 62.3% recognized HMB as a crucial element for the wellbeing of premature infants. Strong support for Shariah-compliant HMB was evident, with 64.3% advocating for donorrecipient identity disclosure. 34.9% were open to their babies receiving milk from multiple donors, although opinions were divided on accepting milk from non-Muslim women in life-threatening situations, and their willingness to donate breastmilk, both to known and unknown babies. Out of 793 women, only 1.3% had donated their breast milk to HMB. Yet, 45.6% were willing to volunteer and give their milk to a Shariah compliant HMB. CONCLUSION: Generally, Malaysian Muslim women in Pahang showed a strong acceptance to the establishment of HMB provided that religious concerns were appropriately addressed
Respecting patient privacy with federated artificial intelligence
No full textMultiple research has shown that deep artificial neural networks (ANN) can assist physicians in diagnosing a patient with greater accuracy and sensitivity. Nonetheless, the grand march of success by ANN is only possible by the availability of an open medical dataset. However, at the time of writing, there is no open medical dataset from the Malaysian population. The local dataset is crucial to validate the performance of any ANN modal on the local populations. The lack of any local dataset may be due to local medical institution's hesitance to release any medical images and records to respect patient's confidentiality. One way around this is to adopt the Federated Learning system, in which no sharing of patient data is required. Our experiment tested the capability of 25 ANN models to classify chest radiograph images into three classes: normal, bacterial pneumonia, and viral pneumonia. Each ANN model is given a training dataset that is random in size and class ratio. The result obtained from the experiment shows that the federated system obtains the highest score in all measured metrics. It obtained a score of 0.76, 0.72, and 0.72 for average weighted precision, weight sensitivity, and F1, respectively. It also has the lowest standard deviation in all performance metrics compared to other learning systems. The result obtained here further strengthens the notion that if Malaysia wants to adopt a national-level artificial intelligent system for medical purposes, it should utilize the federated learning system at its core. It ensures Malaysia has an artificial intelligence system that respects patient's privacy while maintaining its robustness
Sociodemographic profile of preschool children with screen media dependency in urban area
No full textIntroduction: Screen media dependency is an addictive behaviour related to screen media use. Nowadays, the screen media is widely accessible especially in urban era. Thus, it is beneficial to identify the sociodemographic profile of children with screen media dependency. The aim of this study was to describe the sociodemographic profile of preschool children with screen media dependency in Kuala Lumpur, Malaysia. Materials and Methods: A cross sectional study was carried out among parents of preschool children aged 4 to 6 years old in Kuala Lumpur, Malaysia. The Screen Dependency Score (SDS), which is a parent report measure, was used to assess their children’s dependency to screen media. All of the children who had screen media dependency were included in this study. Results: 197 children were screened using SDS and were found out to have screen media dependency. Their mean age was 5.37 ± 0.639 years old with 50.8% were boys and 49.7% of them started using screen media ≤ 2 years old. Majority of their parents had tertiary education level (65.5%), practised restrictive type of parental mediation (56.3%) and used screen media in front of their children (94.9%). Greatest number of the children had an internet facility (91.4%), used smartphone (90.9%) and also watched television (82.2%). Majority spent 1 to 2 hours per day on screen media over the weekdays (47.7%) and ≥ 2 hours daily over the weekend (62.4%). Conclusion: Screen media
dependency among preschool children may be influenced by sociodemographic factors. Thus, further analysis is needed to determine the significant association between sociodemographic factors and screen media dependenc
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