Displaying publications 1 - 20 of 151 in total

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  1. Tan Lee CY, Ngatirin NR, Zainol Z
    MyJurnal
    Personality represents the mixture of features and qualities that built an individual’s distinctive characters including thinking, feeling and behaving. Traditionally, self-assessment method via questionnaire is the most common means to identify personality. Since recommender systems and advertisement
    campaigns have evolved rapidly, personality computing has become a popular research field to provide personalisation to users. Currently, researchers have utilised social media data for automatically predicting personality. However, it is complex to mine the social media data as they are noisy, free-format, and
    of varying length and multimedia. This paper proposes a decision tree C4.5 algorithm to automatically predict personality based on Big Five model. The Big Five Inventory and ZeroR algorithm were included to be served as the baseline for performance evaluation. Experimental evaluation demonstrated that C4.5
    performs better than ZeroR in terms of accuracy.
    Keywords: Big Five, decision tree, personality, social media
    Matched MeSH terms: Social Media
  2. Mamun AA, Hayat N, Zainol NRB
    Foods, 2020 Jul 23;9(8).
    PMID: 32717851 DOI: 10.3390/foods9080974
    This study aimed to examine the effect of health consciousness, knowledge about healthy food, attitudes toward healthy food, subjective norms, and perceived behavioural control on the intention to consume healthy food, which subsequently affects the consumption of healthy food among Malaysian young adults. The current study also examined the moderating effect of perceived barriers on the association between intention to consume healthy food and the consumption of healthy food. This study adopted a cross-sectional design and collected quantitative data from 1651 Malaysian young adults (between the age of 18 and 40 years) by sharing a Google form link through social media. The findings reveal that health consciousness, knowledge about healthy food, attitude toward healthy food, subjective norms, and perceived behavioural control had a significant positive effect on the intention to consume healthy food. Findings also show that the intention to consume healthy food has a significant positive effect on the consumption of healthy food among Malaysian young adults. Furthermore, the findings reveal the positive and significant mediating effect of the intention to consume healthy food and the significant moderating effect of perceived barriers on the association between the intention to consume healthy food and the consumption of healthy food. The multi-group analysis revealed that the effect of perceived barriers on the consumption of healthy food and the moderating effect of perceived barriers were significantly higher among urban respondents. Health and agriculture policymakers should focus on the attributes of healthy eating practices and their health benefits to promote the mass adoption of healthy food among Malaysian young adults.
    Matched MeSH terms: Social Media
  3. Yang Q, Hayat N, Al Mamun A, Makhbul ZKM, Zainol NR
    PLoS One, 2022;17(3):e0264899.
    PMID: 35245323 DOI: 10.1371/journal.pone.0264899
    Social media has changed the marketing phenomenon, as firms use social media to inform, impress, and retain the existing consumers. Social media marketing empowers business firms to generate perceived brand equity activities and build the notion among consumers to continue using the firms' products and services. The current exploratory study aimed to examine the effects of social media marketing activities on brand equity (brand awareness and brand image) and repurchase intention of high-tech products among Chinese consumers. The study used a cross-sectional design, and the final analysis was performed on 477 valid responses that were collected through an online survey. Partial least squares structural equation modelling (PLS-SEM) and artificial neural network (ANN) analysis were performed. The obtained results revealed positive and significant effects of trendiness, interaction, and word of mouth on brand awareness. Customisation, trendiness, interaction, and word of mouth were found to positively affect brand image. Brand awareness and brand image were found to affect repurchase intention. The results of multilayer ANN analysis suggested trendiness as the most notable factor in developing brand awareness and brand image. Brand awareness was found to be an influential factor that nurtures repurchase intention. The study's results confirmed the relevance of social media marketing activities in predicting brand equity and brand loyalty by repurchase intention. Marketing professionals need to concentrate on entertainment and customisation aspects of social media marketing that can help to achieve brand awareness and image. The limitations of study and future research opportunities are presented at the end of this article.
    Matched MeSH terms: Social Media*
  4. Guraya SS, Guraya SY, Yusoff MSB
    BMC Med Educ, 2021 Jul 12;21(1):381.
    PMID: 34247617 DOI: 10.1186/s12909-021-02802-9
    BACKGROUND: Despite a rapid rise of use of social media in medical disciplines, uncertainty prevails among healthcare professionals for providing medical content on social media. There are also growing concerns about unprofessional behaviors and blurring of professional identities that are undermining digital professionalism. This review tapped the literature to determine the impact of social media on medical professionalism and how can professional identities and values be maintained in digital era.

    METHODS: We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords.

    RESULTS: Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients.

    CONCLUSIONS: Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.

    Matched MeSH terms: Social Media*
  5. Cheah WL, Chang CT, Rosalia S, Charles LD, Yii SL, Tiong PH, et al.
    Malays J Med Sci, 2011 Jul;18(3):33-42.
    PMID: 22135599 MyJurnal
    BACKGROUND: Overweight and obesity rates among adolescents have increased substantially over the years. This study aimed to determine the body mass index (BMI) of students and parents and the relationship among media use, BMI, socio-demographic profiles, and snacking behaviour during television watching of secondary school students in Kuching South City.
    METHODS: In accordance with the two-stage sampling method, a total of 316 adolescents aged 13-17 years from 7 secondary schools participated. Data were collected using questionnaire and anthropometric measurement. Independent t test, one-way ANOVA, Mann-Whitney U test, and chi-square test were performed.
    RESULTS: The mean BMI was 20.56 kg/m(2) (SD 4.33) for boys and 20.15 kg/m(2) (SD 3.91) for girls. No significant difference in terms of z score for BMI-for-age or socio-demographic factors was found. The mean duration of time devoted to media use was 4.69 hours (SD 2.93) on weekdays and 5.69 hours (SD 2.87) on weekends. Boys were found to spend more hours on media use than did the girls (t = 4.293, P < 0.01). Respondents were reported to consume more cereal compared with soft drinks and junk foods. Respondents whose fathers worked in the private sector devoted the fewest hours to media use, whereas those with self-employed fathers devoted the most time to media use. Respondents with mothers who were employed spent more time on media use than did respondents whose mothers were housewives (F = 4.067, P < 0.01). No significant difference was found between BMI and media time or snacking habits.
    CONCLUSION: This finding indicated that media time has no effect on body weight, because respondents were found to have normal weight and to consume less unhealthy food.
    KEYWORDS: adolescent; behaviour; body mass index; public health; urban population
    Matched MeSH terms: Social Media
  6. Watimin NH, Zanuddin H, Rahamad MS, Yadegaridehkordi E
    PLoS One, 2023;18(10):e0287367.
    PMID: 37851696 DOI: 10.1371/journal.pone.0287367
    Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement activities such as comments have attracted many scholars due its ability to reveal many critical findings, such as the role of users' sentiment. However, there is a lacuna on how to detect crisis based on users' sentiment through comments, and for such, we explore framing theory in the study herein to determine users' sentiment in predicting crisis. Generic content framing theory consists of conflict, economic, human interest, morality, and responsibility attributes frame as independent variables whilst sentiment as dependent variables. Comments from selected Facebook posting case studies were extracted and analysed using sentiment analysis via Application Programme Interface (API) webtool. The comments were then further analysed using content analysis via Positive and Negative Affect Schedule (PANAS) scale and statistically evaluated using SEM-PLS. Model shows that 44.8% of emotion and reactions towards sensitive issue posting are influenced by independent variables. Only economic consequences and responsibility attributes frame had correlation towards emotion and reaction at p<0.05. News reporting on direction towards economic and responsibility attributes sparks negative sentiment, which proves that it can best be described as pre-crisis detection to assist the Royal Malaysian Police and other relevant stakeholders to prevent criminal activities in their respective social media.
    Matched MeSH terms: Social Media*
  7. Hamed SK, Ab Aziz MJ, Yaakub MR
    Sensors (Basel), 2023 Feb 04;23(4).
    PMID: 36850346 DOI: 10.3390/s23041748
    Nowadays, social media has become the main source of news around the world. The spread of fake news on social networks has become a serious global issue, damaging many aspects, such as political, economic, and social aspects, and negatively affecting the lives of citizens. Fake news often carries negative sentiments, and the public's response to it carries the emotions of surprise, fear, and disgust. In this article, we extracted features based on sentiment analysis of news articles and emotion analysis of users' comments regarding this news. These features were fed, along with the content feature of the news, to the proposed bidirectional long short-term memory model to detect fake news. We used the standard Fakeddit dataset that contains news titles and comments posted regarding them to train and test the proposed model. The suggested model, using extracted features, provided a high detection accuracy of 96.77% of the Area under the ROC Curve measure, which is higher than what other state-of-the-art studies offer. The results prove that the features extracted based on sentiment analysis of news, which represents the publisher's stance, and emotion analysis of comments, which represent the crowd's stance, contribute to raising the efficiency of the detection model.
    Matched MeSH terms: Social Media*
  8. A Rahim AI, Ibrahim MI, Musa KI, Chua SL, Yaacob NM
    PMID: 34574835 DOI: 10.3390/ijerph18189912
    Social media is emerging as a new avenue for hospitals and patients to solicit input on the quality of care. However, social media data is unstructured and enormous in volume. Moreover, no empirical research on the use of social media data and perceived hospital quality of care based on patient online reviews has been performed in Malaysia. The purpose of this study was to investigate the determinants of positive sentiment expressed in hospital Facebook reviews in Malaysia, as well as the association between hospital accreditation and sentiments expressed in Facebook reviews. From 2017 to 2019, we retrieved comments from 48 official public hospitals' Facebook pages. We used machine learning to build a sentiment analyzer and service quality (SERVQUAL) classifier that automatically classifies the sentiment and SERVQUAL dimensions. We utilized logistic regression analysis to determine our goals. We evaluated a total of 1852 reviews and our machine learning sentiment analyzer detected 72.1% of positive reviews and 27.9% of negative reviews. We classified 240 reviews as tangible, 1257 reviews as trustworthy, 125 reviews as responsive, 356 reviews as assurance, and 1174 reviews as empathy using our machine learning SERVQUAL classifier. After adjusting for hospital characteristics, all SERVQUAL dimensions except Tangible were associated with positive sentiment. However, no significant relationship between hospital accreditation and online sentiment was discovered. Facebook reviews powered by machine learning algorithms provide valuable, real-time data that may be missed by traditional hospital quality assessments. Additionally, online patient reviews offer a hitherto untapped indication of quality that may benefit all healthcare stakeholders. Our results confirm prior studies and support the use of Facebook reviews as an adjunct method for assessing the quality of hospital services in Malaysia.
    Matched MeSH terms: Social Media*
  9. Da Silva RD, Leow JJ, Abidin ZA, Linden-Castro E, Castro EIB, Blanco LT, et al.
    Int Braz J Urol, 2019 10 19;45(5):882-888.
    PMID: 31626517 DOI: 10.1590/S1677-5538.IBJU.2019.05.04
    Matched MeSH terms: Social Media/trends*
  10. Lin Y, Hu Z, Alias H, Wong LP
    J Med Internet Res, 2020 Jul 20;22(7):e19982.
    PMID: 32584779 DOI: 10.2196/19982
    BACKGROUND: An extensive amount of information related to the novel coronavirus (COVID-19) pandemic was disseminated by mass and social media in China. To date, there is limited evidence on how this infodemic may influence psychobehavioral responses to the crisis.

    OBJECTIVE: The aim of this study is to assess the psychobehavioral responses to the COVID-19 outbreak and examine their associations with mass and social media exposure.

    METHODS: A cross-sectional study among medical and health sciences students from the Fujian Medical University in Fuzhou, China, was conducted between April 6-22, 2020.

    RESULTS: A total of 2086 completed responses were received. Multivariable analyses demonstrated that four constructs of the Health Belief Model (HBM)-higher perception of susceptibility (odds ratio [OR] 1.44; 95% CI 1.07-1.94), severity (OR 1.32; 95% CI 1.10-1.59), self-efficacy (OR 1.61; 95% CI 1.21-2.15), and perceived control or intention to carry out prevention measures (OR 1.32; 95% CI 1.09-1.59)-were significantly associated with a higher mass media exposure score, whereas only three constructs-higher perception of severity (OR 1.43; 95% CI 1.19-1.72), self-efficacy (OR 1.85; 95% CI 1.38-2.48), and perceived control or intention to carry out prevention measures (OR 1.32; 95% CI 1.08-1.58)-were significantly associated with a higher social media exposure score. Lower emotional consequences and barriers to carry out prevention measures were also significantly associated with greater mass and social media exposure. Our findings on anxiety levels revealed that 38.1% (n=795; 95% CI 36.0-40.2) of respondents reported moderate-to-severe anxiety. A lower anxiety level was significantly associated with higher mass and social media exposure in the univariable analyses; however, the associations were not significant in the multivariable analyses.

    CONCLUSIONS: In essence, both mass and social media are useful means of disseminating health messages and contribute to the betterment of psychobehavioral responses to COVID-19. Our findings stress the importance of the credibility of information shared through mass and social media outlets and viable strategies to counter misinformation during a pandemic.

    Matched MeSH terms: Social Media
  11. Teo CH, Ng CJ, Lo SK, Lim CD, White A
    JMIR Mhealth Uhealth, 2019 04 15;7(4):e10216.
    PMID: 30985280 DOI: 10.2196/10216
    BACKGROUND: Globally, the uptake of health screening is suboptimal, especially in men and those of younger age. In view of the increasing internet access and mobile phone ownership, ScreenMen, a mobile Web app, was developed to improve health screening uptake in men.

    OBJECTIVE: This study aimed to evaluate the utility and usability of ScreenMen.

    METHODS: This study used both qualitative and quantitative methods. Healthy men working in a banking institution were recruited to participate in this study. They were purposively sampled according to job position, age, education level, and screening status. Men were asked to use ScreenMen independently while the screen activities were being recorded. Once completed, retrospective think aloud with playback was conducted with men to obtain their feedback. They were asked to answer the System Usability Scale (SUS). Intention to undergo screening pre- and postintervention was also measured. Qualitative data were analyzed using a framework approach followed by thematic analysis. For quantitative data, the mean SUS score was calculated and change in intention to screening was analyzed using McNemar test.

    RESULTS: In total, 24 men participated in this study. On the basis of the qualitative data, men found ScreenMen useful as they could learn more about their health risks and screening. They found ScreenMen convenient to use, which might trigger men to undergo screening. In terms of usability, men thought that ScreenMen was user-friendly and easy to understand. The key revision done on utility was the addition of a reminder function, whereas for usability, the revisions done were in terms of attracting and gaining users' trust, improving learnability, and making ScreenMen usable to all types of users. To attract men to use it, ScreenMen was introduced to users in terms of improving health instead of going for screening. Another important revision made was emphasizing the screening tests the users do not need, instead of just informing them about the screening tests they need. A Quick Assessment Mode was also added for users with limited attention span. The quantitative data showed that 8 out of 23 men (35%) planned to attend screening earlier than intended after using the ScreenMen. Furthermore, 4 out of 12 (33%) men who were in the precontemplation stage changed to either contemplation or preparation stage after using ScreenMen with P=.13. In terms of usability, the mean SUS score of 76.4 (SD 7.72) indicated that ScreenMen had good usability.

    CONCLUSIONS: This study showed that ScreenMen was acceptable to men in terms of its utility and usability. The preliminary data suggested that ScreenMen might increase men's intention to undergo screening. This paper also presented key lessons learned from the beta testing, which is useful for public health experts and researchers when developing a user-centered mobile Web app.

    Matched MeSH terms: Social Media/instrumentation; Social Media/standards
  12. Hajli MN, Shanmugam M, Hajli A, Khani AH, Wang Y
    Inform Health Soc Care, 2015 Dec;40(4):334-344.
    PMID: 25068990 DOI: 10.3109/17538157.2014.924950
    The emergence of Web 2.0 technologies has already been influential in many industries, and Web 2.0 applications are now beginning to have an impact on health care. These new technologies offer a promising approach for shaping the future of modern health care, with the potential for opening up new opportunities for the health care industry as it struggles to deal with challenges including the need to cut costs, the increasing demand for health services and the increasing cost of medical technology. Social media such as social networking sites are attracting more individuals to online health communities, contributing to an increase in the productivity of modern health care and reducing transaction costs. This study therefore examines the potential effect of social technologies, particularly social media, on health care development by adopting a social support/transaction cost perspective. Viewed through the lens of Information Systems, social support and transaction cost theories indicate that social media, particularly online health communities, positively support health care development. The results show that individuals join online health communities to share and receive social support, and these social interactions provide both informational and emotional support.
    Matched MeSH terms: Social Media
  13. Nooraini Mohamad Sheriff, Aisya Syahira Zulkifli, Wan Nur Shahira Wan Othman
    MyJurnal
    As internet-based marketing utilizes channels of social media to interact and attract prospective customers to make online purchase for apparels there is a need to ascertain the extent to which salient features of social media such as customer engagement, attractive visual presentation and copywriting that are capable of driving such purchase. A total of 128 usable questionnaires were included in this study. Distribution of online questionnaires was assisted where the online questionnaire link in Google document was emailed to the company’s sales team who in turn blasted the online questionnaire via email to all of their online customers in their data base. A positive significant (0.01) high correlation of .709 for customer engagement and .711 were obtained for visual presentation with online purchase for apparels. In addition, a positive significant (0.01) modest correlation of .653was secured for copywriting and online purchase of apparels. The study affirms that online firms using social media marketing must ensure they engage their online customers through discussions, reviews, contest and comments to understand them better and to build relationship between their brand and customer’s which has a positive impact on sales. Social media marketing too needs an exemplary visual presentation to explain abstract concepts and facilitates retention of information and maintain audience interest which ultimately has a positive impact on sale. Consequently, copywriting too performs an important role of convincing people about a product by transforming product features into benefits to convince readers into making a purchase.
    Matched MeSH terms: Social Media*
  14. Mohd Hanafiah K, Ng C, Wan AM
    Viruses, 2021 Jun 03;13(6).
    PMID: 34204909 DOI: 10.3390/v13061058
    In an age of globalisation and hyperconnectivity, the COVID-19 pandemic has caused unprecedented and sustained impact worldwide. This article discusses issues related to (science) communication at different phases of the COVID-19 epidemic timeline. We consider the role of communication for prevention from the ecological perspective, taking into consideration that many emerging pathogens, including COVID-19, likely arise in part due to anthropogenic changes to natural environments. Communication forms part of the early response setting the scene for public buy-in of public health interventions at the start of an outbreak, as well as to maintain precautions over time. Finally, communication is a key element in increasing acceptance for new tools that require mass uptake to be effective, as seen with roll-out challenges for the COVID-19 vaccines, which faced heightened concerns of efficacy and safety while mired with rampant misinformation. Ultimately, strategies for prevention of viral epidemics such as COVID-19 must include communication strategies at the forefront to reduce the risk of the emergence of new diseases and enhance efforts to control their spread and burden. Despite key themes emerging, what constitutes effective communication strategies for different people and contexts needs to be investigated further.
    Matched MeSH terms: Social Media
  15. Flaherty GT, Walden LM
    Travel Med Infect Dis, 2015 Mar-Apr;13(2):120-1.
    PMID: 25812774 DOI: 10.1016/j.tmaid.2015.03.005
    Matched MeSH terms: Social Media*
  16. Basumatary B, Yunus MN, Verma MK
    Res Vet Sci, 2023 May;158:26-33.
    PMID: 36898955 DOI: 10.1016/j.rvsc.2023.02.010
    African swine fever (ASF) is one of the highly contagious diseases of pigs that affect both domestic and wild pigs. The primary purpose of this research was to evaluate the online social attention on the ASF research to inform the research scientists and key stakeholders in the field by reporting the concise information of the most influential articles, social engagement, and impacts of the research. This study employed the altmetrics tool to evaluate the research papers. Bibliographic data of 100 articles were collected from Scopus; altmetric data was collected from the Altmetric.com database and analyzed using SPSS and Tableau. The articles were mainly mentioned on Twitter, followed by News Outlets and significant readers on Mendeley. Pearson correlation coefficients revealed a weak and insignificant correlation between Scopus Citation and Altmetric Attention Score (AAS). Mendeley Readership and Scopus Citation were moderately correlated. However, there was a significant positive correlation between the AAS and Mendeley readership. Using altmetric tools, the paper is the first research to shed light on the characteristics of ASF on social media.
    Matched MeSH terms: Social Media*
  17. Chuah, S.Y., Thong, M.K.
    JUMMEC, 2018;21(2):53-58.
    MyJurnal
    There had been increased and strong public interests in rare diseases and orphan drugs as well as the issue of
    compulsory licencing for expensive medications in Malaysia in the mass-media and social media. We reviewed
    the issues of orphan drugs and the challenges faced in many countries in developing appropriate health financial
    modelling as well as getting accurate data on rare diseases. We also reviewed the old off-patent medications
    and the developments on how policy-makers can intervene to make expensive treatment affordable and
    sustainable for patients and the country.
    Matched MeSH terms: Social Media
  18. Jamal AA, Aldawsari ST, Almufawez KA, Barri RM, Zakaria N, Tharkar S
    Int J Med Inform, 2020 09;141:104202.
    PMID: 32506051 DOI: 10.1016/j.ijmedinf.2020.104202
    BACKGROUND: The use of social media is widespread globally. It provides a quicker and faster means of efficient exchange of communications. The use of Twitter Applications to seek mental health advice is becoming popular.

    OBJECTIVES: This study aims to identify the determinants associated with Twitter use in psychiatric consultations and to assess the level of satisfaction in using the microblogging platform. In addition, the level of e-health literacy is also assessed among users.

    METHODS: The target population included Twitter users seeking psychiatric consultation. A leading psychiatrist's twitter account with 4.5 million followers was selected and consent obtained. A validated Patient Satisfaction Questionnaire was adopted to assess the level of satisfaction in Twitter use and e-health literacy. The questionnaire was tagged to the chosen Twitter account and reminders were sent until the sample size was reached. Data was analysed using SPSS version 22.0. The analysis included descriptive statistics tabulation, multi-response analysis, and cross-tabulation for satisfaction variables and the chi-square test was used to measure association between different variables.

    RESULTS: The study obtained 155 completed response sheets, of which 52 were Twitter users seeking psychiatric advice while the rest sought general health advice. Most of the study participants were females (71.6 %). Women, single status and income range between 4000-9000 Saudi riyal were found to be significantly associated with Twitter use for psychiatric consultation. Generally, most of the participants were satisfied with Twitter in seeking psychiatric consultation that reduced financial disbursement. Furthermore, concerns were expressed regarding the waiting period, word limitations and issues of privacy. The e-health literacy was higher among the participants.

    CONCLUSION: Psychiatric consultations via Twitter is more popular among women. By addressing privacy issues and reducing response time, Twitter may be used as a major platform to deliver mental health services to the population.

    Matched MeSH terms: Social Media*
  19. Lim XY, Teh BP, Tan TYC
    Front Pharmacol, 2021;12:611408.
    PMID: 33841143 DOI: 10.3389/fphar.2021.611408
    Currently, the search to identify treatments and vaccines for novel coronavirus disease (COVID-19) are ongoing. Desperation within the community, especially among the middle-and low-income groups acutely affected by the economic impact of forced lockdowns, has driven increased interest in exploring alternative choices of medicinal plant-based therapeutics. This is evident with the rise in unsubstantiated efficacy claims of these interventions circulating on social media. Based on enquiries received, our team of researchers was given the chance to produce evidence summaries evaluating the potential of complementary interventions in COVID-19 management. Here, we present and discuss the findings of four selected medicinal plants (Nigella sativa, Vernonia amygdalina, Azadirachta indica, Eurycoma longifolia), with reported antiviral, anti-inflammatory, and immunomodulatory effects that might be interesting for further investigation. Our findings showed that only A. indica reported positive antiviral evidence specific to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on preliminary in silico data while all four medicinal plants demonstrated differential anti-inflammatory or immunomodulatory effects. The definitive roles of these medicinal plants in cytokine storms and post-infection complications remains to be further investigated. Quality control and standardisation of medicinal plant-based products also needs to be emphasized. However, given the unprecedented challenges faced, ethnopharmacological research should be given a fair amount of consideration for contribution in this pandemic.
    Matched MeSH terms: Social Media
  20. Ibrahim A, Chong MC, Khoo S, Wong LP, Chung I, Tan MP
    Geriatrics (Basel), 2021 Mar 22;6(1).
    PMID: 33810155 DOI: 10.3390/geriatrics6010031
    Social isolation, magnified by the restriction of movement order during the COVID-19 pandemic, may lead to negative psychosocial health impacts among community-dwelling older adults. We, therefore, aimed to evaluate recruitment rates, data collection, and group exercises conducted through virtual technology among individuals aged 60 years and over in Malaysia. Participants were recruited from the Promoting Independence in Seniors with Arthritis (PISA) pilot cohort through social media messaging. A four-week course of virtual group exercise was offered. Anxiety and depression were assessed with the Hospital Anxiety and Depression Scale (HADS) during the last attended follow-up of the cohort study (pre-pandemic), pre-intervention, and post-intervention. Exercise adherence was recorded using diaries with daily entries and attendance to the virtual group exercise sessions were also captured electronically daily. The outcomes of interest were changes in anxiety and depression scores from baseline to pre-intervention (pandemic-related) and post-intervention (virtual exercise related). Forty-three individuals were recruited. A significant increase in anxiety scores from baseline to pre-intervention was observed. Comparisons using repeated-measures analysis of variance between those who attendance ≥14 and <14 group exercise sessions revealed no between-within subject differences in depression scores. There was a 23% dropout rate in the post intervention survey and 60.5% of diaries were returned. Virtual group exercises could be conducted among older adults residing in a middle-income country, though recruitment would have been limited to those with internet access.
    Matched MeSH terms: Social Media
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