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.

METHODS: One hundred and nineteen (119) older adults, aged 60 and above, living in Klang Valley, Malaysia were recruited for this cross-sectional study. Participants were interviewed face-to-face to obtain sociodemographic data, health status (whether there were and, if yes, the number of comorbidities), outdoor mobility and transportation patterns, Instrumental Activity Daily Living (IADL) status and cognitive function. Participants' physical performance (dominant handgrip strength, 10-m walk, and timed up and go tests), hearing threshold (pure tone audiometry), and vision function (visual acuity, contrast sensitivity) were measured. Transportation patterns of older adults were categorized into three groups, that is, flexible (using public transport and/or private vehicles), using only private vehicles and restricted (relying on others or walking).

RESULTS: Further information is needed to enable such older adults as older women, those with comorbidities and poorer functional status to access transportation, especially to meet their health care needs.

Methods: Towards Useful Aging (TUA) is a three-year longitudinal study conducted at baseline (2013-2014) and at follow-up (2015-2017) surveys. The number of participants dropped from 2322 during baseline study to 1787 and 1560 during the 18th and 36th month follow-up, respectively. Data on socio-demography, use of dietary supplement, biochemical indices, anthropometry, cognitive function, physical fitness and depressive symptoms were obtained. Longitudinal associations were done using the linear mixed model analysis among 1285 subjects with complete data.

Results: The most common vitamin and mineral supplementations consumed were multivitamin, B-complex, and calcium. Meanwhile, the herbal supplements consumed by participants were Eurycoma longifolia, Morinda citrifolia and Orthosiphon aristatus. Longitudinal analysis adjusted for multiple covariates showed improvement in both supplement users and non-users for global cognitive function, working memory, visual memory, 2-minute step test, chair stand test, chair sit and reach and time up and go test, waist circumference and hip circumference in both the supplement users and non-users.

METHODS: Data from TUA cohort study involving 1366 older adults (aged 60 years and above) categorized as low-income were analysed, for risk of MCR syndrome based on defined criteria. Chi-square analysis and independent t test were employed to examine differences in socioeconomic, demographic, chronic diseases and lifestyle factors between MCR and non-MCR groups. Risk factors of MCR syndrome were determined using hierarchical logistic regression.

METHODOLOGY: The scoping review will be carried out in six stages: (1) identifying the research question, (2) identifying relevant studies through electronic databases (i.e., PubMed, Scopus, Cochrane Reviews, Google Scholar, EBSCOHOST, Science Direct) and also gray literature, and (3) selection of studies to be included based on inclusion criteria. Search and initial screening of studies to be included will be conducted by two independent reviewers. Discrepancies will then be solved through discussion with other reviewers; (4) charting and categorizing extracted data in a pretested data extraction form; (5) collating, summarizing, and reporting the results; and lastly, (6) conducting consultation with stakeholders and experts in diabetes.

METHODS: An analysis was conducted among 2237 older adults who participated in a longitudinal study on aging (LRGS TUA). This study involved four states in Malaysia, with 49.4% from urban areas. Respondents were divided into three categories of SES based on percentile, stratified according to urban and rural settings. SES was measured using household income.

RESULTS: The prevalence of low SES was higher among older adults in the rural area (50.6%) as compared to the urban area (49.4%). Factors associated with low SES among older adults in an urban setting were low dietary fibre intake (Adj OR:0.91),longer time for the Timed up and Go Test (Adj OR:1.09), greater disability (Adj OR:1.02), less frequent practice of caloric restriction (Adj OR:1.65), lower cognitive processing speed score (Adj OR:0.94) and lower protein intake (Adj OR:0.94). Whilst, among respondents from rural area, the factors associated with low SES were lack of dietary fibre intake (Adj OR:0.79), lower calf circumference (Adj OR: 0.91), lesser fresh fruits intake (Adj OR:0.91), greater disability (Adj OR:1.02) and having lower score in instrumental activities of daily living (Adj OR: 0.92).

METHODS: A total of 2,240 Malaysian older adults aged ≥60 years were recruited using multistage random sampling in a population based cross-sectional study. Receiver operating characteristic (ROC) curve was used to determine the cut-off values of BMI and WC with optimum sensitivity and specificity for the detection of MCI. Age, gender, years of education, smoking habit, alcohol consumption, depression, and medical conditions were used as confounding factors in this analysis.

RESULTS: A BMI cut-off value of 26 kg/m(2) (area under the receiver operating characteristic curve [AUC] 0.725; sensitivity 90.5%; specificity 38.8%) was appropriate in identifying the risk of getting MCI in both men and women. The optimum WC cut-offs for likelihood of MCI were 90 cm (AUC 0.745; sensitivity 78.0%; specificity 59.8%) for men and 82 cm (AUC 0.714; sensitivity 84.3%; specificity 49.7%) for women. The optimum calf circumference (CC) cut-off values for identifying MCI were 29 cm (AUC 0.731; sensitivity 72.6%; specificity 61.1%) for men and 26 cm (AUC 0.598; sensitivity 79.1%; specificity 45.3%) for women.