MATERIALS AND METHODS: A cross-sectional study was conducted at a private university in Malaysia. A total of 188 undergraduate dental students were interviewed using a pre-tested and self-rated questionnaire. Data collected from participants were analysed using SPSS version 18.0. Chi-square test, Fisher's exact test and multiple logistic regression analyses were applied to study the relationship between explanatory variables and excessive Facebook use and excessive mobile texting.
RESULTS: The prevalence of excessive Facebook use and excessive mobile texting amongst undergraduate dental students was found to be 33.2% and 33.0%, respectively. According to a multivariate analysis, texting habits, such as the presence of daytime sleepiness after texting late at night (aOR = 2.682, 95% CI = 1.142-6.301) and the presence of anxious feelings if students failed to receive a timely response (aOR = 3.819, 95% CI = 1.580-9.230), were determined to be significant predictors of excessive mobile texting. Excessive Facebook use was found to be significantly related to three variables as follows: fewer numbers of close friends (aOR = 2.275, 95% CI = 1.057-4.898), the checking of updates on the Facebook walls of their friends (aOR = 2.582, 95% CI = 1.189-5.605) and the absence of active and vigorous feelings during Facebook use (aOR = 3.401, 95% CI = 1.233-9.434).
CONCLUSIONS: Approximately one-third of undergraduate dental students in this study experienced excessive Facebook use and/or excessive mobile texting. Health education and promotion should be instituted to create awareness, whilst students should be advised to practise self-control with respect to both mobile texting and Facebook usage.
METHODS: CPGs for the management of hypertension in Southeast Asia were retrieved from the websites of the Ministry of Health or cardiovascular specialty societies of the individual countries of Southeast Asia during November to December 2020. The recommendations for the management of hypertension specified in the 2017 American College of Cardiology (ACC)/American Heart Association (AHA) guideline and the 2018 European Society of Cardiology (ESC)/European Society of Hypertension (ESH) guideline were selected to be the reference standards; the recommendations concerning the management of hypertension in the included CPGs in Southeast Asia were assessed if they were concordant with the reference recommendations generated from both the 2017 ACC/AHA guideline and the 2018 ESC/ESH guideline, using the population (P)-intervention (I)-comparison (C) combinations approach.
RESULTS: A total of 59 reference recommendations with unique and unambiguous P-I-C specifications was generated from the 2017 ACC/AHA guideline. In addition, a total of 51 reference recommendations with unique and unambiguous P-I-C specifications was generated from the 2018 ESC/ESH guideline. Considering the six included CPGs from Southeast Asia, concordance was observed for 30 reference recommendations (50.8%) out of 59 reference recommendations generated from the 2017 ACC/AHA guideline and for 31 reference recommendations (69.8%) out of 51 reference recommendations derived from the 2018 ESC/ESH guideline.
CONCLUSIONS: Hypertension represents a significant issue that places health and economic strains in Southeast Asia and demands guideline-based care, yet CPGs in Southeast Asia have a high rate of non-concordance with internationally reputable CPGs. Concordant recommendations could perhaps be considered a standard of care for hypertension management in the Southeast Asia region.
Methods: A descriptive, cross sectional-survey was conducted using a self-administered questionnaire comprising of sections that focused on public preferences and options on weight management approaches, perceived availability of extended services and resources provided by community pharmacists in relation to weight management, utilization of these services and resources, and factors influencing acceptability of weight management services provided by community pharmacists. The questionnaires were distributed to the general public aged 18 years and above in Klang Valley, Malaysia.
Results: A total of 730 respondents with a median age of 31 years participated in this study. Majority of respondents ranked dieticians as their preferred first line of consultation, with only about a quarter of respondents ranking community pharmacists as their preferred first or second line of consultation. Although more than half show of the study respondents perceived that community pharmacies they had visited offered services for measuring weight, height, blood pressure, blood glucose and blood cholesterol, fewer perceived that community pharmacies provided advice on physical activity and healthy eating to achieve weight loss. Additionally, majority of the respondents indicated that they had not utilized these services. However, most respondents perceived that community pharmacists should provide weight management services. The main factors influencing acceptability show of services included training of pharmacists, payment, waiting time and the issue of privacy.
Conclusion: The findings of this study demonstrated that the majority of respondents were in support of weight management services in community pharmacy; however only a low percentage reported utilizing these services. Factors influencing acceptability of services included payment, waiting time and the issue of privacy. With adequate training among pharmacists and increased awareness of services among the public, community pharmacists could play a larger and important role in addressing the issue of obesity in Malaysia.
METHOD: To overcome the limitation, the use of artificial intelligence along with technical tools has been extensively investigated for AD diagnosis. For developing a promising artificial intelligence strategy that can diagnose AD early, it is critical to supervise neuropsychological outcomes and imaging-based readouts with a proper clinical review.
CONCLUSION: Profound knowledge, a large data pool, and detailed investigations are required for the successful implementation of this tool. This review will enlighten various aspects of early diagnosis of AD using artificial intelligence.