Objective: The objectives of this study are to describe the differentials and associated risk factors of malnutrition among under-five children in Bangladesh. Material & Methods: The data extracted from Bangladesh Demographic and Health Survey (BDHS)-2007. Basic anthropometric variables were used for finding prevalence of anthropometric indices (stunting, wasting and under weight) to assess child’s nutritional statuses. Chi- Square test and Logistic Regression technique were used to find out the significant factors associated with child’s nutritional status. Results: The study results showed the high prevalence of stunting and underweight, for instance 42% and 40% of under-five children were stunted and underweighted respectively. The analyses of the study also revealed that household economic status, mother’s education, father’s education, mother’s antenatal visit (s), mother’s age at birth and mother’s BMI are the most significant factor /determinant s of child’s malnutrition. Conclusion: The magnitude of the Child’s malnutrition still is of great concern in Bangladesh. Significant association between maternal related factors and child’s nutritional status has been found in this study. For improving the nutritional status of children or for getting healthy babies the intervention program(s) must connect not only children but also newly mothers and prospective mothers. Key Words: Anthropometric measurement; Malnutrition; Stunting; Underweight; Wasting DOI: http://dx.doi.org/10.3126/ajms.v2i2.3662 Asian Journal of Medical Sciences 2 (2011) 113-119

Active ageing level and its discrepancy in different regions (Bangkok, Central, North, Northeast, and South) of Thailand have been examined for prioritizing the policy agenda to be implemented. Attempt has been made to test preliminary active ageing models for Thai older persons and hence active ageing index (AAI, ranges from 0 to 1) has been estimated. Using nationally representative data and confirmatory factor analysis approach, this study justified active ageing models for female and male older persons in Thailand. Results revealed that active ageing level of Thai older persons is not high (mean AAIs for female and male older persons are 0.64 and 0.61, resp., and those are significantly different (p < 0.001)). Mean AAI in Central region is lower than North, Northeast, and South regions but there is no significant difference in the latter three regions of Thailand. Special emphasis should be given to Central region and policy should be undertaken for increasing active ageing level. Implementation of an Integrated Active Ageing Package (IAAP), containing policies for older persons to improve their health and economic security, to promote participation in social groups and longer working lives, and to arrange learning programs, would be helpful for increasing older persons' active ageing level in Thailand.

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