Background: Women living in every country, irrespective of its development status, have been facing the problem of unintended pregnancy. Unintended pregnancy is an important public health issue in both developing and developed countries because of its negative association with the social and health outcomes for both mothers and children. This study aims to determine the prevalence and the factors influencing unintended pregnancy among currently pregnant married women in Nepal.
This study explores rural elderly preferences for support across a multi-dimensional measure of elderly care needs. Applying a framework developed in the U.S. to Thailand for the first time, five diverse types of support are considered: meal preparation, personal care, transportation, financial support, and emotional support. The emphasis is on preferences for care and not actual care received. The data are from focus group discussions conducted in seven villages in Nang Rong district, northeastern Thailand. Thailand and the study site represent the social and economic conditions faced by many rapidly industrializing places-where there has been a dramatic demographic transition (lowered fertility and substantial out-migration), growing numbers of older persons remaining in rural settings, and limited publically-financed elderly care or market-based elder care available for purchase. For this study, in each village, male and female older persons aged 60 and over participated in the focus group discussions. As part of the discussion, focus group participants were asked to rank their first four preferences by type of support. Male and female older persons' preferences were slightly different for genderized tasks. In addition, social closeness and geographical proximity mattered. Traditional matrilocal residence patterns contributed to the perceptions of the older persons. Neighbors were preferred when kin were not available. Preferences inform strategic choices by older persons given the context of available resources. Understanding preferences and strategic choices among the older persons can help policy makers tailor programs more effectively and efficiently, without jeopardizing elderly well-being.
This is a study of migration responses to climate shocks. We construct an agent-based model that incorporates dynamic linkages between demographic behaviors, such as migration, marriage, and births, and agriculture and land use, which depend on rainfall patterns. The rules and parameterization of our model are empirically derived from qualitative and quantitative analyses of a well-studied demographic field site, Nang Rong district, Northeast Thailand. With this model, we simulate patterns of migration under four weather regimes in a rice economy: 1) a reference, ‘normal’ scenario; 2) seven years of unusually wet weather; 3) seven years of unusually dry weather; and 4) seven years of extremely variable weather. Results show relatively small impacts on migration. Experiments with the model show that existing high migration rates and strong selection factors, which are unaffected by climate change, are likely responsible for the weak migration response.
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