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- Volume 23, Issue 3, 2009
Asia-Pacific Population Journal - Volume 23, Issue 3, 2009
Volume 23, Issue 3, 2009
Issued three times a year, the Asia-Pacific Population Journal is an invaluable resource containing opinions and analysis by experts on important issues related to population. It provides a medium for the international exchange of knowledge, experience, ideas, technical information and data on all aspects of population.
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Longitudinal research designs and utility in the Asian and Pacific region
Longitudinal research, which includes panel research, is the term used to differentiate the methodology and utility of prospective studies from that of cross-sectional research. It describes not a single method, but a family of methods that measure change by linking individual data across time (Zazzo, 1967, cited in Menard, 2002).
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Longitudinal community studies in Africa: Challenges and contributions to health research
Authors: Cheikh S.M. Mbacké and James F. PhillipsReliable and timely information is a central pillar of well-functioning health systems. In fact, much of the progress in improving human health is “due to technical progress, including advances in knowledge about diseases and about appropriate, cost-effective responses” (Jamison and others, 2006; p. 155). Developing health technology requires sound research and the precise information that is needed for gauging the efficacy of interventions. Moreover, comprehensive sociodemographic and health information is needed to guide policy deliberations. The need for such information is particularly acute in developing countries because policy that lacks empirical grounding can be more damaging to public welfare in such settings than is the case in relatively prosperous countries where the public enjoys multiple service options and individuals have resources for financing personal choices.
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The Cebu longitudinal health and nutrition survey: Two decades later
Authors: A.B. Feranil, S.A. Gultiano and L.S. AdairThis article discusses the 23-year history of the Cebu Longitudinal Health and Nutrition Survey (CLHNS), which was started in 1983 in collaboration with the Carolina Population Center of the University of North Carolina at Chapel Hill (CPC-UNC), the Office of Population Studies of the University of San Carlos (OPS-USC) and the Nutrition Center of the Philippines (NCP). After briefly presenting information on its origins and development in this introductory section, the methodologies and strategies used in the research and some of its major findings and contributions are discussed, before analysing the challenges and lessons learned from the study. The article ends by identifying some best practices and offering some recommendations for other longitudinal studies.
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Vital horoscope: Longitudinal data collection in the Iranian primary health care system
Authors: Amir H. Mehryar, Mohsen Naghavi, Shirin Ahmad-Nia and Shahla KazemipourDespite their importance, longitudinal methods of data collection are complex, time-consuming and expensive. With longer periods of observation, the problems of population movement and loss to follow-up become important. This is particularly the case in developing countries with high rates of rural-to-urban migration and residential mobility within major urban centres. A more practical alternative involves repeated data collection on well-defined communities on a regular monthly or annual basis. Combining such data-gathering exercises with a practical programme of intervention or service delivery can justify the expense involved and ensure the viability of the project.
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The effects of intergenerational support on the changes in cognitive functioning of the rural elderly in China
Authors: Ping Wang and Shuzhuo LiA major issue in all societies, especially those that are ageing, is the extent to which the elderly can live independently. Cognitive functioning is a crucial factor in the degree of independence of the elderly, while cognitive impairment can predict the loss of functions and even death. There is a close and direct relationship between social support and cognitive functioning, and social support-preventable cognitive impairment (Bassuk and Berkman, 1999). A recent cross-sectional study demonstrated that intergenerational support improved the cognitive functioning of the elderly in rural China (Wang, Li and Zhang, 2005). However, within the context of high levels of migration of working-age adults from rural to urban areas of China, multivariate analysis of longitudinal data on changes in the cognitive functioning of the elderly is required. This article presents an analysis of selected data from a 3-wave longitudinal survey conducted from 2001 to 2006 among 997 parents aged 60 and older living in rural Anhui Province, China, showing that intergenerational transfers, especially financial transfers, have a significant influence on the changes in the cognitive functioning of the elderly. As such, the findings bring a new dimension to the current scientific discussion on the impacts of changing traditional patterns of intergenerational support for elderly persons in China.
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Evaluation of the thai tobacco control policy
Tobacco use has been identified by the World Health Organization (WHO) as the most preventable cause of death and disability in the world. Globally, there are 1.1 billion people who smoke, over 80 per cent of whom live in low- and middle-income countries. Of all the people alive today, 500 million will die of tobacco-related causes. Although a staggering 100 million tobacco-related deaths occurred in the twentieth century, it is estimated that, by the end of the twenty-first century, 10 times that number, or 1 billion people, will have died because of tobacco use, and this burden will be borne most heavily by developing countries.
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Managing the Kanchanaburi demographic surveillance system: Creation of a relational database management system
Author: Jongjit RittirongIncreasing attention is being paid to the collection of longitudinal data. This attention is, in part, a response to the difficulties faced in establishing causal relations with cross-sectional data. However, the collection and use of longitudinal data has brought with it a series of challenges that are not faced by researchers manipulating cross-sectional data. In this article we describe how initial data management models, based on cross-sectional data storage and manipulation used in the Kanchanaburi Demographic Surveillance System (KDSS), were found to be inadequate and were replaced by a database system that is consistent with longitudinal data collection, storage and manipulation.
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Volumes & issues
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Volume 32
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Volume 31
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Volume 30
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Volume 28
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Volume 26
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Volume 29
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Volume 27
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Volume 25
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Volume 24
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Volume 23
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Volume 22
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Volume 21
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Volume 20
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Volume 19
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Volume 18
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Volume 17
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Volume 16
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Volume 15
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Volume 14
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Volume 13
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Volume 12
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Volume 11
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Volume 10
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Volume 9
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Volume 8
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Volume 7
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Volume 6
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Volume 5
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Volume 4
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Volume 3
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Volume 2
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Volume 1