METHODS: The dataset was obtained from the AGELESS trial screening phase conducted from October 2021 to March 2022, involving 476 community-dwelling Malaysian older adults (67.7 years old ± 6.1). Digital technology usage was assessed and CF was determined using Fried's criteria and Clinical Dementia Rating. A binary logistic regression was used to determine the sociodemographic factors associated with digital technology use among older adults with CF.
RESULTS: The findings suggest a digital divide between older adults with CF and robust in Malaysia. CF individuals (72.1%) were less likely to utilise digital technology, mainly smartphone than robust older adults (89.6%). More than 70% of older people owned social media on their smartphones, namely, WhatsApp. The most frequent online activities in both groups were family interaction and obtaining current news. CF older adults were less likely to play games on their smart devices. Usage of digital technology was more common among male, younger age, attained formal education more than 6 years, had a higher monthly household income, and robust participants.
CONCLUSIONS: The usage of digital technology was inversely related to CF status. CF older adults were less likely to integrate digital technology into their daily living compared to robust even though they were familiar with it. The use of digital technology should be reinforced among female, advanced age, widowers/divorcees without formal education and those from lower- or middle-income statuses, and cognitively frail older people.
PATIENTS AND METHODS: The available data related to cognitive frailty among a sub-sample of older adults aged 60 years and above (n=815) from two states in Malaysia were analysed. In the LRGS-TUA study, a comprehensive interview-based questionnaire was administered to obtain the socio-demographic information of the participants, followed by assessments to examine the cognitive function, functional status, dietary intake, lifestyle, psychosocial status and biomarkers associated with cognitive frailty. The factors associated with cognitive frailty were assessed using a bivariate logistic regression (BLR).
RESULTS: The majority of the older adults were categorized as robust (68.4%), followed by cognitively pre-frail (37.4%) and cognitively frail (2.2%). The data on the cognitively frail and pre-frail groups were combined for comparison with the robust group. A hierarchical BLR indicated that advancing age (OR=1.04, 95% CI:1.01-1.08, p<0.05) and depression (OR=1.49, 95% CI:1.34-1.65, p<0.001) scored lower on the Activity of Daily Living (ADL) scale (OR=0.98, 95% CI:0.96-0.99, p<0.05), while low social support (OR=0.98, 95% CI:0.97-0.99, p<0.05) and low niacin intake (OR=0.94, 95% CI:0.89-0.99, p<0.05) were found to be significant factors for cognitive frailty. Higher oxidative stress (MDA) and lower telomerase activity were also associated with cognitive frailty (p<0.05).
CONCLUSION: Older age, a lower niacin intake, lack of social support, depression and lower functional status were identified as significant factors associated with cognitive frailty among older Malaysian adults. MDA and telomerase activity can be used as potential biomarkers for the identification of cognitive frailty.
METHODS: Data on 123 obese and overweight housewives in the intervention group from the MyBFF@home study were utilised. A validated Malaysian Malay version of Obesity Weight Loss Quality of Life (OWLQOL) questionnaire was administered at baseline and 6 months after intervention. Descriptive analysis, univariate analysis, paired t-test and multiple logistic regression were performed using SPSS Version 22.
RESULTS: Mean body mass index (BMI) was 31.5 kg/m2 (SD:4.13), with 51 participants classified as overweight (41.5%) while 72 were obese (58.5%). About 72% of the housewives experienced weight reduction (62% reduced weight less than 5% and 11% reduced weight more than 5% of their baseline weight). There was a significant improvement in HRQOL with a pre-intervention total mean score of 59.82 (SD: 26.60) and post-intervention of 66.13 (SD: 22.82), p-value
METHODS: This study was designed and conducted in three stages, including needs assessment, development of the package and analysis of acceptance among 33 older adults aged 60 years and over in rural communities, and 14 health staff members at rural health clinics. Subjects completed a questionnaire including sociodemographic factors and acceptance evaluation of the nutrition education package with respect to content, graphics and design. Data were analysed descriptively using numbers and percentages.
RESULTS: A nutrition education package comprising a booklet, flipchart and placemats was developed. A total of 42.4% of the older adults expressed that the sentences in the flipchart needed to be simplified and medical terms explained. Terminology (60%), illustrations (20%) and nutrition recommendations (20%) were the aspects that prevented elderly subjects from fully understanding the booklet. Information on the placemats was easily understood by subjects.
CONCLUSIONS: A well accepted nutrition education package for promoting healthy ageing and reducing risk of chronic diseases was developed that incorporated modifications based on feedback from older adult subjects and health clinic staff in a rural area. It is a tool that can effectively be used for health education in this population.
METHODS AND ANALYSIS: This 12-week randomised double-blind, placebo-controlled, parallel-group study aims to evaluate the efficacy of the standardised water extract of EL known as Physta in increasing the quality of life of perimenopausal and postmenopausal women. The study involves 150 women aged 40-55 years who score more than 61 on the Menopause-Specific Quality of Life (MENQOL) assessment. These participants will be randomised into three groups, receiving Physta at either 50 mg or 100 mg or a placebo. The outcomes measures include mood state, quality of life, fatigue, sleep quality, sexual function and pain score assessed using Profile of Mood State, MENQOL, Chalder Fatigue Scale, Pittsburgh Sleep Quality Index, Female Sexual Function Index and the Brief Pain Inventory questionnaires, respectively. The secondary outcome of the study includes full blood analysis, urine analysis, female reproductive hormone profiling, inflammatory and oxidative stress biomarkers analysis.
ETHICS AND DISSEMINATION: The research protocol of the study was reviewed and approved by the Research Ethics Committee of Universiti Kebangsaan Malaysia (UKM/PPI/111/8/JEP-2021-898). The findings will be disseminated to participants, healthcare professionals and researchers via conference presentations and peer-reviewed publications.
TRIAL REGISTRATION NUMBER: ACTRN12622001341718.
OBJECTIVE: The purpose of this study is to develop a health application, WeFit contains these three components and to determine its content validity, acceptability, and usability.
METHODOLOGY: This study is a design and development study involving three phases. The first phase is the need analysis involving a review on 16 mobile applications available in Google play and iTunes App store as well as a review of six articles for identifying the perception of older adults in using mobile applications. Second phase is mobile application development and content validity. The content validity was determined using the Content Validity Index for Individual Items (I-CVI). Phase 3 evaluated the acceptance of the WeFit mobile application among older adults and health practitioners.
RESULTS: Phase 1 indicated that half of the applications reviewed (50.0%) had physical activity component and the other half (50.0%) had a cognitive component, and none on nutrition. No application is reported to have all three components. In Phase 2, WeFit health application containing the three components was developed where users can view exercise and food recommendations and play cognitive games. WeFit had an I-CVI value of 0.98. With respect to acceptability, majority of the study participants (93.3%) understood the WeFit's content and the graphics used were appropriate. The usability study found that the majority of the older adults were satisfied with the interface and content. All health practitioners (100%) agreed WeFit is easy to use and agreed that it can guide them in giving medical advices.
CONCLUSION: WeFit mobile app has been successfully developed, validated, and tested for acceptance among the older adults and health practitioners.
METHODS AND ANALYSIS: This study is a qualitative analysis of stakeholder views towards salt reduction. Participants will be recruited from five zones of Malaysia (Western, Northern, Eastern and Southern regions and East Malaysia), including policy-makers, non-governmental organisations, food industries, school canteen operators, street food vendors and consumers, to participate in focus group discussions or in-depth interviews. Interviews will be transcribed and analysed using thematic analysis. Barriers will be identified and used to develop a tailored salt reduction strategy.
ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Universiti Kebangsaan Malaysia Medical Research Ethics Committee (UKM PPI/1118/JEP-2020-524), the Malaysian National Medical Research Ethics Committee (NMRR-20-1387-55481 (IIR)) and Queen Mary University of London Research Ethics Committee (QMERC2020/37) . Results will be presented orally and in report form and made available to the relevant ministries for example, Ministry of Health, Ministry of Education and Ministry of Trade to encourage adoption of strategy as policy. The findings of this study will be disseminated through conference presentations, peer-reviewed publications and webinars.
METHODS: A total of 535 individuals aged 52 years and above from the previous cohort and interventional studies in Peninsular Malaysia were contacted during the Movement Control Order (MCO) issued during the COVID-19 pandemic. Telephonic interviews were conducted to obtain participant information concerning socio-demography, physical activity, subjective well-being (SWB) as assessed using flourishing scale, coping strategies, and general psychological health (GHQ-12). Simple linear regression (SLR) and multiple linear regression (MLR) analyses were performed to identify the factors associated with GHQ-12. The associated factors were further analysed using mediation analysis to determine the potential of coping strategies as a mediator.
RESULTS: It was observed that participants had a low mean GHQ-12 score (M = 0.80, SD = 2.19), indicating good psychological health. Living arrangement, physical activity, and flourishing scale were associated with psychological health (R2 = 0.412, p
METHODS: The RVA G9P[8] genotype from a diarrhea sample was passaged in MA104 cells. The virus was evaluated by TEM, polyacrylamide gel electrophoresis, and indirect immunofluorescence assay. The complete genome of virus was obtained by RT-PCR and sequencing. The genomic and evolutionary characteristics of the virus were evaluated by nucleic acid sequence analysis with MEGA ver. 5.0.5 and DNASTAR software. The neutralizing epitopes of VP7 and VP4 (VP5* and VP8*) were analyzed using BioEdit ver. 7.0.9.0 and PyMOL ver. 2.5.2.
RESULTS: The RVA N4006 (G9P[8] genotype) was adapted in MA104 cells with a high titer (105.5 PFU/mL). Whole-genome sequence analysis showed N4006 to be a reassortant rotavirus of Wa-like G9P[8] RVA and the NSP4 gene of DS-1-like G2P[4] RVA, with the genotype constellation G9-P[8]-I1-R1-C1-M1-A1-N1-T1-E2-H1 (G9P[8]-E2). Phylogenetic analysis indicated that N4006 had a common ancestor with Japanese G9P[8]-E2 rotavirus. Neutralizing epitope analysis showed that VP7, VP5*, and VP8* of N4006 had low homology with vaccine viruses of the same genotype and marked differences with vaccine viruses of other genotypes.
CONCLUSION: The RVA G9P[8] genotype with the G9-P[8]-I1-R1-C1-M1-A1-N1-T1-E2-H1 (G9P[8]-E2) constellation predominates in China and may originate from reassortment between Japanese G9P[8] with Japanese DS-1-like G2P[4] rotaviruses. The antigenic variation of N4006 with the vaccine virus necessitates an evaluation of the effect of the rotavirus vaccine on G9P[8]-E2 genotype rotavirus.
AIMS: The present study aims to assess the association of demographic, cultural, and social factors with volunteering among Malaysian adults over the age of 50.
METHODS: A cross-sectional study was conducted in 2020 involving 3,034 Malaysians aged 50 years and above across Malaysia, selected using a multi-stratified random sampling technique based on National Census 2020 data. A validated survey questionnaire to determine the demographic factor (age, sex, education level, employment status, health status, physical disability, and location of residence), cultural factor (ethnicity and religion), and social factor (social support, marital status, living arrangement, mode of transportation) that influence voluntary participation was distributed and collected. The association between these factors and volunteer participation was analysed using logistic regression models to identify significant predictors of voluntary participation among Malaysian adults over the age of 50.
RESULTS: A regression model indicates that living in rural areas (OR 2.03, 95% CI 1.63-2.53), having higher education level (Tertiary level: OR 2.77, 95% CI 1.86-4.13), being employed (OR 1.31, 95% CI 1.10-1.56), differences in ethnicity background (Chinese: OR 0.58, 95% CI 0.39-0.86) and ease of transportation (Driving private transport: OR 1.26, 95% CI 1.19-1.32; Public transport: OR 1.07, 95% CI 1.00-1.154) were significantly associated with volunteering with R2 Nagelkerke of 0.147.
CONCLUSION: Recognising various factors towards community volunteering should be addressed by policymakers and volunteer organisations to increase volunteer participation from potential adults over the age of 50 in promoting healthy and active ageing.