METHODS: AYHIV in Malaysia, Thailand, and Vietnam were prospectively followed through annual clinical assessments and laboratory testing. Data were described descriptively and a generalized estimating equation was used to calculate independent predictors for HIV viremia (>40 copies/mL).
RESULTS: A total of 93 AYHIV were followed until February 2019: 60% female, 94% acquired HIV perinatally, 81% Thai, median age 20 (interquartile range, 18-21) years. The median follow-up time was 94 (91-100) weeks; 88% completed the study. At week 96, median CD4 was 557 cells/mm3 (interquartile range, 337-786), 77% had suppressed HIV viral load, 39% reported recent alcohol use, 49% had been sexually active, 53% of females and 36% of males intended to have children, and 23% screened positive for moderate depression (Patient Health Questionnaire-9 score ≥9) or reported suicidal ideation. HIV viremia was associated with <90% adherence to HIV treatment (adjusted incidence rate ratio [aIRR] 2.2 [1.28-3.78]), CD4 count ≤500 cells/mm3 (aIRR 4.75 [2.11-10.69]), and being on a nonnucleoside reverse transcriptase inhibitor regimen (vs. protease inhibitor aIRR 2.71 [1.13-6.49]). Having a trusted person to talk with about their feelings was protective (vs. never; usually or always, aIRR 0.41 [0.18-0.92]).
DISCUSSION: After transition to adult HIV care, there were indications of social isolation and mental health problems that could prevent these AYHIV from maintaining control over their HIV infection and hinder progress toward social independence.
METHODS: A total of 25 survivors of NiV infection from the 1998 outbreak were recruited for sample collection. The serum IgG antibody response to NiV antigens, specifically nucleocapsid (N), fusion glycoprotein (F) and attachment glycoprotein (G) was evaluated using ELISA. Additionally, the samples were tested for neutralizing antibodies and memory B cell responses.
RESULTS: Detection rates of anti-NiV-F and anti-NiV-G were 56% and 60%, respectively, among the survivors at a 1:100 dilution, whereas only 20% were specifically reactive to rNiV-N. Notably, all samples that tested positive for NiV-F and NiV-G at this dilution also exhibited neutralizing antibodies, highlighting the specificity of these assays. Live virus neutralization assay showed that 72% of survivors had detectable neutralizing antibodies, with varying titers, indicating long-lasting immune memory. Furthermore, memory B cell responses specific to NiV-F and NiV-G were observed in six randomly selected survivors, suggesting the presence of enduring immunological memory.
CONCLUSIONS: These findings highlight the potential of NiV-F and NiV-G as reliable markers for NiV exposure and underscore the need for continuous surveillance and research. Such efforts are crucial for advancing vaccine development and improving preparedness for future NiV outbreaks.
METHODS AND STUDY DESIGN: This study comprised development and validation phases. In the development phase, 129 young adults from a public university in Klang Valley completed a 3-day food record (3DFR), and the data were used to create a food list for the FFQ. Two weeks later, in the validation phase, another 100 participants recruited from the same university completed the 3DFR and a newly developed FFQ for assessing consumption of 38 food items. Finally, the data obtained from the FFQ and 3DFR were used to analyze the nutrient intake of each participant, and the developed FFQ was validated using Spearman correla-tion coefficients (r) and Bland-Altman methods.
RESULTS: For the development phase, 38 food items were determined to contribute to 90% of the participants' total energy and macronutrient intake, and these items were included on the FFQ. For the validation phase, the average Spearman correlation coefficient for energy and all nutrients was 0.43, which indicated good agreement between the 3DFR and FFQ. Cross-classification analysis of the 3DFR and FFQ results revealed that 79% of the young adults were classified into similar or neighboring quartiles when each set of results was used. The Bland-Altman plots revealed that the results obtained using the two methods were parallel.
CONCLUSIONS: The FFQ is a simple and validated tool that can be self-administered to young adults to assess their energy and nutrient consumption.
METHOD: Quantitative studies published in English until May 2023 were sought by searching seven electronic databases: Web of Science, PubMed, SPORTDiscus, CINAHL, MEDLINE, Scopus, Psychology and Behavioural Sciences Collection. This review included studies that identified participants as individuals with disabilities and reported the overall (non) compliance with the 24-HMG among children and adolescents with disabilities.
RESULTS: A total of 13 studies, involving 21,101 individuals (65.95% males), aged 6 to 21 years from 9 countries, were included in the analysis. In general, 7% (95%CI: 0.05-0.09, p
METHODS: Social Cognitive Theory (SCT) was used as a guide in developing the PEB framework. Specifically, three factors were identified-Self-awareness (Personal), Attitude (Personal and Environment) and Safe Practice (Behavior) as the potential predictors for online fraud victimization. A self-reporting questionnaire was developed based on the PEB framework and used to collect data targeting Malaysian adults. The study reports result from two separate datasets collected across two separate timelines. Study I involved data collection in January 2023 (n = 820) whereas Study II was conducted with a modified questionnaire from November 2023 -January 2024 (n = 629). Study I identified the online fraud victimization predictors through an Exploratory Factor Analysis (EFA) and a hierarchical binary logistic regression. The dataset from Study II was used to validate the online fraud victimization model derived from Study I by executing another round of hierarchical binary logistic regression.
RESULTS: Results from both the samples show that most of the respondents are aware of digital privacy. EFA from Study I yielded a five-factor solution with a total variance of 60.6%, namely, Self-awareness, Safe Practice, Bank Trust, Overconfidence and Social Influence. Hierarchical binary logistic regression results from both the studies were found to be consistent. Specifically, Overconfidence (β = 0.374; OR = 1.453; 95% CI [1.119, 1.887]; p = 0.005) and Social Influence (β = 0.332; OR = 1.225; 95% CI [1.077, 1.512]; p = 0.006) were found to significantly predict online fraud victimization as well as gender (β = 0.364; OR = 1.440; 95% CI [1.008, 2.016]; p = 0.045) with females exhibiting higher risks to victimization.
IMPLICATIONS: The emergence of Overconfidence and Social Influence as significant predictors can guide the development of targeted online fraud awareness campaigns and/or tools emphasizing critical thinking and skepticism. Policymakers can leverage this knowledge to implement regulations that reduce deceptive practices online, promote digital literacy programs, and mandate clearer consumer protections to mitigate the impact of social manipulation and overconfidence on fraud victimization.
CONCLUSION: This study identifies online fraud victimization predictors, hence improving our understanding of the factors behind this phenomenon-allowing for the development of effective preventive measures and policies to safeguard individuals and improve digital security. For instance, gender- specific educational campaigns can be developed to enhance awareness and equip women with strategies to detect and avoid scams. Additionally, addressing systemic factors like social norms and digital literacy gaps is crucial for creating equitable and effective solutions to reduce online fraud victimization.
OBJECTIVE: This study aims to examine the changes in the prevalence of GDM between 2016 and 2022 and its determining factors.
METHODS: The data analysed in this study were derived from the National Health and Morbidity Survey (NHMS) 2016 and 2022, a nationwide study employing a two-stage stratified random sampling design in Malaysia. Changes in the prevalence were compared between data from NHMS 2016 and 2022, while factors were evaluated based on data from NHMS 2022. Descriptive statistics and multiple logistic regression analyses were performed using IBM SPSS version 27.
RESULTS: The prevalence of GDM increased from 12.5% in 2016 to 27.1% in 2022. In both years, the prevalence was highest among those aged 44-49 years, those of Indian ethnicity, those in higher income groups and those with higher education levels. Advanced maternal age, high body mass index (BMI) and hypertension were associated with a greater risk of GDM.
CONCLUSION: The prevalence of GDM among the Malaysian population doubled from 2016 to 2022. The findings underscore the importance of implementing targeted programs for expectant mothers in high-risk groups to mitigate the incidence of GDM and its associated morbidities.
METHODS: An online cross-sectional study was conducted among undergraduate students at public universities in Malaysia. KAP towards COVID-19 were measured using a structured Malay and English version questionnaire consisting of (i) sociodemographic characteristics, (ii) knowledge of COVID-19 (10 items), attitudes associated with COVID-19 (five items) and practice on COVID-19 preventive measures (six items). Validity and reliability tests were conducted to assess the level of consistency of KAP content with Cronbach alpha values of 0.617, 0.616 and 0.722 for each section, respectively. Descriptive statistics, independent t-tests, one-way analysis of variance (ANOVA), Mann-Whitney test, Kruskal Wallis test and Pearson correlation were conducted.
RESULTS: Around 73% of the respondents had good knowledge of COVID-19, 58.6% possessed positive attitudes, and 54.6% were classified as having good practices in COVID-19 prevention. There was no significant difference in knowledge scores among sociodemographic data. A significant difference in attitude scores was observed among race, zones of the public university and household incomes. Besides that, a significant difference in practice scores was also observed among gender, race and student accommodation. A weak positive and significant correlation existed between knowledge and practices (r = 0.220 and p = 0.001). Meanwhile, there was no correlation between knowledge and attitude (r = 0.039 and p = 0.517).
CONCLUSION: Undergraduate students from Malaysian public universities had good KAP associated with COVID-19. Still, appropriate health promotion activities are needed to provide the students with adequate knowledge, positive attitudes and good practice of COVID-19 prevention measures in the future.
OBJECTIVE: This study examines the association between caffeine intake and obesity prevalence in children and adolescents aged 2 to 19.
METHODS: This study used the database from the National Health and Nutrition Examination Survey (NHANES, 2011-2020 March) to perform a cross-sectional study. A total of 10,001 classified children and adolescents were included in this analysis. All data were survey-weighted, and corresponding logistic regression models were performed to examine the associations between caffeine intake and the prevalence of obesity.
RESULTS: In a fully adjusted model, a per-quartile increase in caffeine intake was associated with a 0.05% increased prevalence of obesity. In the subgroup analysis, the multivariate-adjusted ORs (95% CIs) of the prevalence of obesity for per-quartile 1.3497 (1.2014, 1.5163) increments in caffeine intake were 1.5961 (1.3127, 1.9406) for boys and 1.4418 (1.1861, 1.7525) for girls, 1.5807 (1.3131, 1.9027) for white race and 1.3181 (1.0613, 1.6370), 1.0500 (0.6676, 1.6515) for the age of 2-5, 1.4996 (1.1997, 1.8745) for the age of 6-12, and 1.2321 (0.9924, 1597) for the age of 13-19.
CONCLUSION: The study suggested that higher caffeine intake may have a protective effect against obesity in specific subgroups, particularly among no overweight individuals. However, the association was not significant in other groups, indicating the need for a nuanced understanding of caffeine's impact on obesity in diverse populations.
DESIGN AND SETTING: A retrospective secondary data analysis using data from the National Health and Morbidity Survey 2019, a cross-sectional household survey among the population in Malaysia.
PARTICIPANTS: All adults aged 18 years and above.
OUTCOME MEASURES: The two outcome variables were multimorbidity and outpatient services utilisation. Characteristics of respondents and those having multimorbidity were described using complex sample descriptive statistics. We used multivariable logistic regression to determine the associated factors of having multimorbidity and the association between the number of non-communicable diseases and outpatient services utilisation.
RESULTS: Overall, 11 347 respondents were included in the analysis. This study found a prevalence of 11.4 (95% CI=10.43-12.39) for multimorbidity. Age, marital status and working status were the factors associated with multimorbidity. Adults with multimorbidity were high users of outpatient services (20.4%, 95% CI=17.5-23.7), approximately threefold of adults with no non-communicable diseases. In the final model, multimorbidity showed an adjusted OR of 3.28 (95% CI=2.48-4.32) for outpatient services utilisation.
CONCLUSION: Understanding factors associated with multimorbidity and the magnitude of the impact of having multimorbidity towards outpatient services utilisation could help in future planning for healthcare system transformation. The recently launched Health White Paper for Malaysia has emphasised primary healthcare as a critical component to achieve aspirations of the health system, which includes equity and responsiveness. Strengthening primary care services and improving patient navigation across healthcare levels are critical to supporting individuals with multimorbidity. Avenues for further research include exploring a wider range of conditions and assessing the longitudinal impact of multimorbidity on healthcare utilisation and health outcomes.
DESIGN: Retrospective case-control study.
SETTING: Secondary data from the National Tuberculosis Registry (NTBR) across two states in Malaysia.
PARTICIPANTS: All reported DR-TB cases in the NTBR between 2016 and 2020 from Selangor and Wilayah Persekutuan Kuala Lumpur, Malaysia. Cases still undergoing treatment at the time of analysis were excluded. A total of 403 cases were analysed, with 181 (44.9%) experiencing unfavourable treatment outcomes and 222 (55.1%) having favourable treatment outcomes. The case group consists of individuals with DR-TB who experienced unfavourable treatment outcomes, while the control group comprises individuals with DR-TB who achieved favourable treatment outcomes.
OUTCOME MEASURES: Unfavourable treatment outcomes, defined as death, treatment failure or loss to follow-up, were assessed. Predictors of these outcomes were identified through multiple logistic regression analysis.
RESULTS: Significant determinants of unfavourable treatment outcomes included being male (adjusted OR (aOR) 2.38, 95% CI 1.44 to 3.94), being single or divorced (aOR 1.61, 95% CI 1.03 to 2.49), having no formal education (aOR 3.09, 95% CI 1.49 to 6.41), people living with HIV (aOR 2.87, 95% CI 1.40 to 5.87) and having DR-TB categorised as rifampicin-resistant tuberculosis (aOR 3.34, 95% CI 1.90 to 5.86) or multidrug-resistant/pre-extensively drug-resistant/extensively drug-resistant-TB (aOR 2.57, 95% CI 1.52 to 4.33).
CONCLUSION: The findings reveal a high proportion of DR-TB cases with unfavourable treatment outcomes and identify their key determinants. Targeted interventions addressing these factors are essential to improve treatment outcomes.
METHODS: A qualitative study using interview approach was conducted in Hong Kong SAR and Malaysia. Thirty dental undergraduate students, each with one patient from the Faculty of Dentistry at The University of Hong Kong (n = 15) and Universiti Teknologi MARA (n = 15), were introduced to a digitally designed decision aid in missing tooth replacement prior to their treatment appointments. Semi-structured interviews were conducted with each student and patient, adhering to the interview protocol. Each interview was audio-recorded, transcribed, and subsequently coded to investigate the perceptions and potential advantages of this decision aid.
RESULTS: Thematic analysis identified three key themes from the dental students' perspective: communication, utilization, and satisfaction. From patients' perceptions, four central themes emerged: communication, treatment information, uncertainty, and utilization. Detailed examination of the data highlighted an enhancement in patients' confidence and trust in their dental care providers, as well as a marked increase in both student and patient satisfaction levels upon implementing this novel approach. The average satisfaction rates for students were 83 % for Hong Kong SAR and 82 % for Malaysia.
CONCLUSION: This patient-centered clinical decision aid helped to enhance communication between dental students and patients in both regions, ultimately leading to heightened patient satisfaction levels. Nonetheless, to address the present study's limitations, future studies should consider diversifying participant backgrounds, including patients without prior treatment discussions with students.
CLINICAL SIGNIFICANCE: Clinical decision aids are valuable tools in clinical teaching due to their enhancement of communication between clinicians and patients. They promote shared decision-making, leading to more personalized and evidence-driven treatment plans, ultimately improving patient care.