METHODS: This cross-sectional study employed qualitative and quantitative methods and used an inductive approach and thematic content analysis to analyze online commentaries on news articles published on popular online news portals from November 2018 to August 2019. Data was collected by downloading the commentaries onto Microsoft Word and importing them into NVivo.
RESULTS: Of the commentaries analyzed, 60.9% rejected the SSBs tax, and 39.1% favored it. No association was found between the online news articles and the slants of the commentaries.
CONCLUSION: The results of this study demonstrate a clear divide in public opinion regarding the SSBs tax in Malaysia, with many online readers expressing opposition to the tax despite evidence of the harmful effects of sugar presented in the articles they are commenting on. These findings have implications for policymakers and public health advocates seeking to implement similar taxes in the future.
METHOD: This study included 177 (men: n=73, women: n=104) participants from University Teknologi MARA, Puncak Alam, Selangor. The data were presented using descriptive statistics and subjected to an exploratory factor analysis.
RESULTS: The 22 scale items evaluated were valid and reliable in assessing the five components of healthy lifestyles related to mental health. The total variance explained for measuring the construct was 68.610%. The Cronbachs alpha value for the five components ranged from 0.784 to 0.903.
CONCLUSION: The adapted scale is acceptable and reliable in evaluating healthy lifestyles related to mental health within the target population. Thus, it can be used to assess significant components of healthy lifestyles to promote mental health. Accordingly, relevant authorities can formulate the best strategies to enhance mental health.
METHODS: The research question was formulated using the most valid SPIDER technique for a comprehensive search. PubMed, Google Scholar, and PsycNet databases were searched. 19 articles were selected based on inclusion and exclusion criteria out of 775 articles.
RESULTS: Thematic analyses show that personality assessment in the military is done to a) detect psychopathology, b) detect aberrant responses, c) recruit new personnel, d) predict training and performance outcomes, and e) predict leadership. The research contributes to the body of knowledge by showing an integrated picture of the most widely used assessment tools and the purpose it serves.
CONCLUSION: There is a need to develop assessment measures that are culture free and can assess more complex personality attributes.
METHODS: Bibliometric analysis was made, including the publications' profiles, citation analysis and research trends of the relevant literature over the last 60 years. Publications from all time frames were retrieved from Scopus database. A subgroup analysis of publications pertinent to people with SCI was also made.
RESULTS: Research on RMT has been steadily increasing over the last 6 decades and across geographical locations. While medicine continues to dominate the research on RMT, this topic also continues to attract researchers and publications from other areas such as engineering, computer science and social science over the last 10 years. Research collaboration between authors in different backgrounds was observed since 2006. Source titles from non-medical backgrounds have also published articles pertinent to RMT. Among people with SCI, researchers utilised a wide range of technology from simple spirometers to electromyography in both intervention and outcome measures. With various types of interventions implemented, RMT generally improves pulmonary function and respiratory muscle strength among people with SCI.
CONCLUSIONS: While research on RMT has been steadily increasing over the last 6 decades, more collaborations are encouraged in the future to produce more impactful and beneficial research on people who suffer from respiratory disorders.
METHODS: This multi-database comparative cross-sectional study examined COVID-19 in-patient deaths (IPD) and COVID-19 BID (n = 244 in each group) in Selangor, Malaysia. BID cases, IPD cases, and their sociodemographic, clinical, and health behaviour factors were identified from the COVID-19 mortality investigation reports submitted to the Selangor State Health Department between 14 February 2022 and 31 March 2023. Data linkage was used to connect three open-source databases-GitHub-MOH, Socioeconomic Data and Applications Center, and OpenStreetMap-and identify health infrastructure and geospatial factors. The groups were compared using chi-square tests, independent t-tests, and logistic regression analyses to identify factors associated with COVID-19 BID.
RESULTS: The COVID-19 IPD and BID cases were comparable. After adjusting for confounders, non-Malaysian nationality (AOR: 3.765, 95% CI: 1.163, 12.190), obesity (AOR: 5.272, 95% CI: 1.131, 24.567), not seeking treatment while unwell (AOR: 5.385, 95% CI: 3.157, 9.186), and a higher percentage of COVID-19-dedicated beds occupied on the date of death (AOR: 1.165, 95% CI: 1.078, 1.259) were associated with increased odds of COVID-19 BID. On the other hand, being married (AOR: 0.396, 95% CI: 0.158, 0.997) and the interaction between the percentage of COVID-19-dedicated beds occupied and the percentage of ventilators in use (AOR: 0.996, 95% CI: 0.994, 0.999) emerged as protective factors.
CONCLUSION: These findings indicated that certain groups have higher odds of COVID-19 BID and thus, require closer monitoring. Considering that COVID-19 BID is influenced by various elements beyond clinical factors, intensifying public health initiatives and multi-organisational collaboration is necessary to address this issue.