Journal of Population Ageing

, Volume 9, Issue 4, pp 305–313 | Cite as

Memory and the Reporting of Remittance in a Sample of Elderly Persons in Thailand

Article
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Abstract

Accurate reporting of sources of income is needed in studies of intergenerational transfers and welfare of the elderly. The objective of this paper is to investigate how memory in the elderly is related to the reporting of remittances received from their children in Thailand. Using data from a longitudinal study of 1036 persons age 60 to 93 in a province in Thailand, the influence of a word recall (verbal learning and recall), and nickname recall (verbal learning and recall) on reporting of remittance was assessed. Initially, both measures were positively and significantly related to the reporting of remittance. The results remained significant only for the nickname task after controlling for education, wealth, living arrangements and disability. The results highlight the importance of cognitive issues in the quality of data and the need for attention to memory in questionnaire design.

Keywords

Memory Remittance Thailand Elderly Migration Disability 

References

  1. Abas, M.A., Punpuing, S., Jirapramukpitak, T., Guest, P., Tangchonlatip, K., Morven, L. & Prince, M. (2009a). Rural urban migration and depression in ageing family members left behind. The British Journal of Psychiatry, 195, 54–60.Google Scholar
  2. Abas, M. A., Punpuing, S., Jirapramupitak, T., Tangchonlatip, K. & Leese, M. (2009b). Psychological wellbeing, physical impairments and rural aging in a developing country setting. Health and Quality of Life Outcomes. doi:10.1186/1477-7525-7-66 BioMed Central.
  3. Abas, M. A., Tangchonlatip, K., Punpuing, S., Jirapramukpitak, T., Darawuttimaprakorn, N., Prince, M., & Flach, C. (2013). Migration of children and impact on depression in older parents in rural Thailand, Southeast Asia. Journal of the American Medical Association: Psychiatry, 70, 226–234.Google Scholar
  4. Alley, D., Suthers, K., & Crimmins, E. (2007). Education and cognitive decline in older Americans: results from the AHEAD sample. Research on Aging, 29, 73–94.CrossRefGoogle Scholar
  5. Anstey, K., & Christensen, H. (2000). Education, activity, health, blood pressure, and apoliprotein E as predictors of cognitive change in old age: a review. Gerontology, 46, 163–177.CrossRefGoogle Scholar
  6. Christensen, H. (2001). What cognitive changes can be expected with normal ageing? The Australian and New Zealand Journal of Psychiatry, 35, 768–775.CrossRefGoogle Scholar
  7. Dixon, R., & Nilsson, L. (2004). Don’t fence us in: Probing the frontiers of cognitive aging. In R. Dixon, L. Bäckman, & L. Nilsson (Eds.), New frontiers in cognitive aging (pp. 3–15). Oxford, UK: Oxford University Press.CrossRefGoogle Scholar
  8. Faul, J. (2008). The effect of lifecourse socioeconomic position and health on trajectories of cognitive function in older adults. Ann Arbor: University of Michigan.Google Scholar
  9. Ford K, Jampaklay, A., Chamratrithirong A. (2009). Migration and household assets in Kanchanaburi, Thailand. Asia Pacific Migration Review.Google Scholar
  10. Ford, K., Sowers, M., Seeman, T. E., Greendale, G. A., Sternfeld, B., & Everson-Rose, S. A. (2010). Cognitive functioning Is related to physical functioning in a longitudinal study of women at midlife. Gerontology, 56, 250–225.CrossRefGoogle Scholar
  11. Frankenberg, E., Lillard, L., & Willis, R. J. (2002). Patterns of intergenerational transfers in Southeast Asia. Journal of Marriage and the Family, 24, 627–641.CrossRefGoogle Scholar
  12. Ganguli, M., Chandra, V., Gilby, J. E., Ratcliff, G., Sharma, S. D., Pandau, R., et al. (1996). Cognitive test performance in a community based nondemented elderly sample in rural India: the Indo-US Cross National dementia epidemiology study. International Geriatrics, 8, 507–524.Google Scholar
  13. Hedden, T., & Gabrieli, J. D. (2004). Insights into the ageing mind: a view from cognitive neuroscience. National Review of Neuroscience, 5, 87–96.CrossRefGoogle Scholar
  14. Hermalin, A. (Ed.) (2002). The Well Being of the Elderly in Asia: A Four Country Comparative Study. Ann Arbor: University of Michigan Press.Google Scholar
  15. Jobe, J. B., Tourangeau, R., & Smith, A. F. (1993). Contributions of survey research to the understanding of memory. Applied Cognitive Psychology, 7, 567–584.CrossRefGoogle Scholar
  16. Knodel, J., & Saengtienchai, C. (2007). Rural parents with urban children: social and economic implications of migration for the rural elderly in Thailand. Population, Space and Place, 13, 193–210.CrossRefGoogle Scholar
  17. Knodel, J., Prachusmoh, V., & Chayovan, N. (2013). The changing well being of Thai elderly: An update from the 2011 survey of older persons in Thailand. In Population Studies Center research report 13–793. Population Studies Center: Institute for Social Research. University of Michigan.Google Scholar
  18. Ofstedal, M. B., Reidy, E., & Knodel, J. (2004). Gender differences in economic support and well being of older Asians. Journal of Cross Cultural Gerontology, 19, 165–201.CrossRefGoogle Scholar
  19. Royall, R. R., Palmer, R., Chiodo, C. K., & Polk, M. J. (2004). Declining executive control in normal aging predicts change in functional status: the Freedom House study. Journal of the American Geriatric Society, 52, 346–352.CrossRefGoogle Scholar
  20. Van Dijk, K. R. A., Van Gerven, P. W. M., Van Boxtel, M. P. J., Van der Elst, W., & Jolles, J. (2008). Psychology and Aging, 23, 119–130.CrossRefGoogle Scholar
  21. Welsh, K. A., Butlers, N., Mohs, R. C., Beckly, D., Edland, S., Folembaum, G., et al. (1994). The consortium to establish a registry for Alzheimer’s disease (CERAD). Part V. A normative study of the neuropsychological battery. Neurology, 44, 609–614.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Kathleen Ford
    • 1
    • 2
  • Sureeporn Punpuing
    • 1
  • Melanie Abas
    • 3
  1. 1.Institute for Population and Social ResearchMahidol UniversityNakhon PathomThailand
  2. 2.School of Public HealthUniversity of MichiganAnn ArborUSA
  3. 3.Institute of PsychiatryKing’s College LondonLondonUK

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