The evaluation of mental health among older adults has become increasingly important in health and social science. Although this has been studied in developed countries, there are also issues for emerging countries, which have aging populations. The aims of this study were to determine the prevalence of loneliness/social isolation and late-life depression among older adults with cognitive impairment living in institutional care. Methods: A cross sectional survey involving residents of four government nursing homes in West Malaysia was carried out. All residents aged 60 years old and above with cognitive impairment were included in the study. Participants were assessed by the Short Mini Mental State Examination (SMMSE), Friendship Scale (FS) and Geriatric Depression Scale (GDS). Results: The prevalence of depression and loneliness/social isolation were 85.5% and 95.5% respectively. Depression was strongly associated with age, education attainment, financial conditions, health, cognitive impairment and loneliness/social isolation. Loneliness/social isolation was strongly associated to depression and relationship satisfaction with children. Conclusion: There was high prevalence of depression and loneliness/social isolation among older adults with cognitive impairment living in institutional care. Depression and loneliness/social isolation are interrelated and influence each other and these problems need to be addressed to improve their quality of life.
Device, Questionnaire & Scale: Mini Mental State Examination (MMSE-12); Friendship Scale (FS); Geriatric Depression Scale (GDS-15)
Samples of fine (PM2.5) and coarse (PM10-2.5) fraction of airborne particulate were collected on weekly basis during the period from May 2012 to July 2014 at Bangi, Selangor. The samples were collected using a Gent Stacked Filter Sampler in two fractions of < 2.5 µm and 2.5 - 10 µm sizes. This research paper aims at establishing the concentration level of PM2.5, PM10-2.5 and PM10 at Bangi area and investigates their possible sources and contribution to the ambient aerosol of the area. The samples were analyzed for their elemental composition and black carbon content by Particle Induced X-ray Emission (PIXE) and Smoke Stain Reflectometer, respectively. The average for PM2.5, PM10-2.5 and PM10 ranged from1.8 µg/m3 to 78.0 µg/m3, 9.6 µg/m3 to 76.8 µg/m3 and 12 µg/m3 to 134 µg/m3, respectively. Positive Matrix Factorization (PMF) technique was also applied to fine and coarse data set in order to identify the possible sources of particulate matter (PM) and their contribution to the ambient particulate matter concentrations in the area. The best solution was found to be five factors for both elemental compositions of fine and coarse PM, respectively. The PMF results show that motor vehicles and secondary sulphate contribute about 40.3% and 33.0% of the fine mass respectively followed by soil, sea salt and smoke/biomass burning with the average contribution of 10.5%, 10.3% and 6.4%, respectively. In case of coarse particles the PMF results show that a large fraction of about more than 50% of the coarse mass comes from motor vehicle. Soil dust including road dust and soil construction contribute about 32.5% of the coarse mass whilst the smoke/biomass burning factor contributes about 6.7% of the coarse mass.
For addressing the issue of adulteration and counterfeiting of the sources of origin for the edible bird’s nests (EBNs), a preliminary study of elemental characterization for their geochemical markers was performed. This study aims to characterize the elemental profiles as geochemical markers and evaluate the relationships between these markers which could be used for the verification of the geographical origin of EBN in Malaysia. EBN samples from house and cave nests that represent a range of geographical and environmental characteristics were analysed using Neutron Activation Analysis (NAA) technique. The method was validated by analysing the Standard Reference Material SRM-1515 (Apple Leaves) and SRM-1573a (Tomato Leaves) of NIST. A total of 18 elements were determined. The results showed a statistical analysis of one way ANOVA has proven that there have a significant different elemental profiles in both EBN, clearly V, As, Ba, Sc, Sm and Th were not detectable in the house EBNs. Therefore, initial finding could be concluded that those elements can be identified as the key elements for geochemical marker to differentiate the type of EBN. Furthermore the differnces probably due to natural presence of those elements as well as regional or location and seasonal variation factors affecting the dietry habits of the swiftlets.