Self-Reported Health Status of Older Adults in Malaysia and Singapore: Evidence from the 2007 Global Ageing Survey

The aim of this study is to investigate the correlates of self-reported health (SRH) among older adults in Malaysia and Singapore. The study uses data collected in the Global Ageing Study (GLAS) 2007, one of the largest surveys of its kind, specially designed to investigate attitudes towards later life, ageing and retirement. Data were collected from 1002 and 1004 respondents from Malaysia and Singapore respectively. The study found that Singaporeans report a healthier life than Malaysians. The two countries have consistent results with regard to the influences of selected covariates on individual health. Poorer health is more prevalent among people with lower education, among those widowed, divorced or separated, and those working in blue-collar occupations. Although social support is found to be an important determinant of SRH, the effects are partially confounded with other covariates. These findings enhance our knowledge about the health status of older people, and in turn will be useful for governments to ensure effective policy making.     

Impact of Religious Activities on Quality of Life and Cognitive Function Among Elderly

Journal of Religion and Health - Religiosity and spirituality have previously been found to have significant effects on mental and physical health. This study aimed to compare...     

Between Country Variations in Self-Rated-Health and Associations with the Quality of Life of Older People: Evidence from the Global Ageing Survey

In social science and public health earlier research has persistently reported significant socio-economic inequalities in health, inequalities in the use of health care and self rated-health (SRH) among older adults. However, relatively little attention is paid to the link between SRH and the overall quality of life (QoL) of older adults. Utilising the data collected in the Global Ageing Survey (GLAS) 2006-07, the study explores the linkages between the self-rated-health and quality of life among older adults in 21 countries and territories in five major regions of the world. The QoL was assessed by two survey instruments designed to capture subjective as well as objective appraisals of individual quality of life. Both bivariate and multivariate analyses were performed to examine the influence of SRH on the QoL. The analyses reveal that there are health inequalities across different age cohorts and this remains consistent for all selected countries and territories. As expected the proportion reporting poor health increases with age in most countries. The net effect of health status on QoL has also been analysed subsequently in multivariate models using ordered logistic regression analysis and is adjusted for two main demographic variables - age and gender. Findings show that age plays an important role alongside with health on the overall quality of life. The study also reveals that females are found to be more likely to have been depressed compared to their male counterparts.     

Using functional near‐infrared spectroscopy to assess social information processing in poor urban Bangladeshi infants and toddlers

Children living in low‐resource settings are at risk for failing to reach their developmental potential. While the behavioral outcomes of growing up in such settings are well‐known, the neural mechanisms underpinning poor outcomes have not been well elucidated, particularly in the context of low‐ and middle‐income countries. In this study, we measure brain metabolic responses to social and nonsocial stimuli in a cohort of 6‐ and 36‐month‐old Bangladeshi children. Study participants in both cohorts lived in an urban slum and were exposed to a broad range of adversity early in life including extreme poverty, malnutrition, recurrent infections, and low maternal education. We observed brain regions that responded selectively to social stimuli in both ages indicating that these specialized brain responses are online from an early age. We additionally show that the magnitude of the socially selective response is related to maternal education, maternal stress, and the caregiving environment. Ultimately our results suggest that a variety of psychosocial hazards have a measurable relationship with the developing social brain.     

The relationship between biological and psychosocial risk factors and resting‐state functional connectivity in 2‐month‐old Bangladeshi infants: A feasibility and pilot study

Childhood poverty has been associated with structural and functional alterations in the developing brain. However, poverty does not alter brain development directly, but acts through associated biological or psychosocial risk factors (e.g. malnutrition, family conflict). Yet few studies have investigated risk factors in the context of infant neurodevelopment, and none have done so in low‐resource settings such as Bangladesh, where children are exposed to multiple, severe biological and psychosocial hazards. In this feasibility and pilot study, usable resting‐state fMRI data were acquired in infants from extremely poor (n = 16) and (relatively) more affluent (n = 16) families in Dhaka, Bangladesh. Whole‐brain intrinsic functional connectivity (iFC) was estimated using bilateral seeds in the amygdala, where iFC has shown susceptibility to early life stress, and in sensory areas, which have exhibited less susceptibility to early life hazards. Biological and psychosocial risk factors were examined for associations with iFC. Three resting‐state networks were identified in within‐group brain maps: medial temporal/striatal, visual, and auditory networks. Infants from extremely poor families compared with those from more affluent families exhibited greater (i.e. less negative) iFC in precuneus for amygdala seeds; however, no group differences in iFC were observed for sensory area seeds. Height‐for‐age, a proxy for malnutrition/infection, was not associated with amygdala/precuneus iFC, whereas prenatal family conflict was positively correlated. Findings suggest that it is feasible to conduct infant fMRI studies in low‐resource settings. Challenges and practical steps for successful implementations are discussed.