Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-18T14:46:04.030Z Has data issue: false hasContentIssue false

Association between childhood socioeconomic status and subjective memory complaints among older adults: results from the Japan Gerontological Evaluation Study 2010

Published online by Cambridge University Press:  18 July 2019

Toshinori Nishizawa
Affiliation:
Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
Ayako Morita
Affiliation:
Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
Takeo Fujiwara*
Affiliation:
Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
Katsunori Kondo
Affiliation:
Department of Preventive Medicine, Chiba University, Chiba, Japan
*
Correspondence should be addressed to: Takeo Fujiwara, Department of Global Health Promotion, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan. Phone/Fax: 81*9-5803-5190. Email: fujiwara.hlth@tmd.ac.jp.

Abstract

Background:

Subjective memory complaints (SMC) have been suggested as an early marker of mild cognitive impairment and dementia. However, there is a paucity of evidence on the effects of early life conditions on the development of SMC in old age. This study is aimed at investigating the association between childhood socioeconomic status (SES) and SMC in community-dwelling older adults.

Methods:

We used the data of the Japan Gerontological Evaluation Study, a population-based cohort study of people aged 65 years or older enrolled from 28 municipalities across Japan. Childhood SES and SMC in everyday life were assessed from the self-report questionnaire administered in 2010 (n = 16,184). Poisson regression was performed to determine their association, adjusted for potential confounders and life-course mediators and examined cohort effects.

Results:

We identified SMC in 47.4% of the participants. After adjusting for sex, age, and number of siblings, low and middle childhood SES were associated with 29% (prevalence ratio [PR]: 1.29, 95% confidence interval [CI]: 1.22, 1.36) and 10% higher prevalence of SMC (PR: 1.10, 95%CI: 1.04, 1.17), respectively, compared with high childhood SES (p for trend <.001). The interaction terms between childhood SES and age groups were not statistically significant.

Conclusion:

Childhood SES is significantly associated with SMC among community-dwelling older adults. Efforts to minimize childhood poverty may diminish or delay the onset of SMC and dementia in later life.

Type
Original Research Article
Copyright
© International Psychogeriatric Association 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arain, M. et al. (2013). Maturation of the adolescent brain. Neuropsychiatric Disease and Treatment, 9, 449461.Google ScholarPubMed
Asada, T. (2012). [Prevalence of dementia in Japan: past, present and future]. Rinsho Shinkeigaku, 52, 962964.CrossRefGoogle ScholarPubMed
Chary, E., Amieva, H., Peres, K., Orgogozo, J. M., Dartigues, J. F. and Jacqmin-Gadda, H. (2013). Short- versus long-term prediction of dementia among subjects with low and high educational levels. Alzheimers & Dementia, 9, 562571.CrossRefGoogle ScholarPubMed
Foverskov, E., Mortensen, E. L., Holm, A., Pedersen, J. L. M., Osler, M. and Lund, R. (2017). Socioeconomic position across the life course and cognitive ability later in life: the importance of considering early cognitive ability. Journal of Aging and Health, 31, 947966.CrossRefGoogle ScholarPubMed
Fujiwara, T., Kondo, K., Shirai, K., Suzuki, K. and Kawachi, I. (2014). Associations of childhood socioeconomic status and adulthood height with functional limitations among Japanese older people: results from the JAGES 2010 project. Journals of Gerontology Series a-Biological Sciences and Medical Sciences, 69, 852859.CrossRefGoogle ScholarPubMed
Greenfield, E. A. and Moorman, S. M. (2018). Childhood socioeconomic status and later life cognition: evidence from the Wisconsin longitudinal study. Journal of Aging and Health, 30, 127.Google Scholar
Hall, K. S., Gao, S., Unverzagt, F. W. and Hendrie, H. C. (2000). Low education and childhood rural residence: risk for Alzheimer’s disease in African Americans. Neurology, 54, 9599.CrossRefGoogle ScholarPubMed
Jorm, A. F., Christensen, H., Korten, A. E., Jacomb, P. A. and Henderson, A. S. (2001). Memory complaints as a precursor of memory impairment in older people: a longitudinal analysis over 7–8 years. Psychological Medicine, 31, 441449.CrossRefGoogle ScholarPubMed
Kaplan, G. A., Turrell, G., Lynch, J. W., Everson, S. A., Helkala, E. L. and Salonen, J. T. (2001). Childhood socioeconomic position and cognitive function in adulthood. International Journal of Epidemiology, 30, 256263.CrossRefGoogle ScholarPubMed
Kondo, N., Sembajwe, G., Kawachi, I., van Dam, R. M., Subramanian, S. V. and Yamagata, Z. (2009). Income inequality, mortality, and self rated health: meta-analysis of multilevel studies. British Medical Journal, 339, b4471.CrossRefGoogle ScholarPubMed
Kryscio, R. J. et al. (2014). Self-reported memory complaints: implications from a longitudinal cohort with autopsies. Neurology, 83, 13591365.CrossRefGoogle ScholarPubMed
Livingston, G. et al. (2017). Dementia prevention, intervention, and care. Lancet, 390, 26732734.CrossRefGoogle Scholar
Meyer, O. L., Leggett, A., Liu, S. and Nguyen, N. H. (2018). Prevalence and correlates of subjective memory complaints in Vietnamese adults. International Psychogeriatrics, 30, 10391048.CrossRefGoogle ScholarPubMed
Mitchell, A. J., Beaumont, H., Ferguson, D., Yadegarfar, M. and Stubbs, B. (2014). Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis. Acta Psychiatrica Scandinavica, 130, 439451.CrossRefGoogle ScholarPubMed
Moceri, V. M. et al. (2001). Using census data and birth certificates to reconstruct the early-life socioeconomic environment and the relation to the development of Alzheimers disease. Epidemiology, 12, 383389.CrossRefGoogle Scholar
Murayama, H. et al. (2018). The Differential Effects of Age on the Association Between Childhood Socioeconomic Disadvantage and Subjective Symptoms of Dementia Among Older Japanese People. Journal of Epidemiology. doi: 10.2188/jea.JE20180002. [Epub ahead of print].CrossRefGoogle Scholar
Murray, A. D., McNeil, C. J., Salarirad, S., Whalley, L. J. and Staff, R. T. (2014). Early life socioeconomic circumstance and late life brain hyperintensities − a population based cohort study. Plos One, 9.CrossRefGoogle Scholar
Ohara, T. et al. (2017). Trends in dementia prevalence, incidence, and survival rate in a Japanese community. Neurology, 88, 19251932.CrossRefGoogle Scholar
Peterson, R. L., Carvajal, S. C., McGuire, L. C., Fain, M. J. and Bell, M. L. (2019). State inequality, socioeconomic position and subjective cognitive decline in the United States. SSM Population Health, 7, 100357.CrossRefGoogle ScholarPubMed
Prince, M. J., Wimo, A., Guerchet, M. M., Ali, G. C., Wu, Y-T. and Prina, M. (2016). The global impact of dementia: an analysis of prevalence, incidence, cost and trends.Google Scholar
Reisberg, B., Shulman, M. B., Torossian, C., Leng, L. and Zhu, W. (2010). Outcome over seven years of healthy adults with and without subjective cognitive impairment. Alzheimers & Dementia, 6, 1124.CrossRefGoogle ScholarPubMed
Richels, C. G., Johnson, K. N., Walden, T. A. and Conture, E. G. (2013). Socioeconomic status, parental education, vocabulary and language skills of children who stutter. Journal of Communication Disorders, 46, 361374.CrossRefGoogle ScholarPubMed
Ryoshin, M. (2008). Income distribution of Japan: historical perspective and its implications. Japan Labor Review, 5, 520.Google Scholar
Silventoinen, K. (2003). Determinants of variation in adult body height. Journal of Biosocial Science, 35, 263285.CrossRefGoogle ScholarPubMed
Smith, G. E., Petersen, R. C., Ivnik, R. J., Malec, J. F. and Tangalos, E. G. (1996). Subjective memory complaints, psychological distress, and longitudinal change in objective memory performance. Psychology and Aging, 11, 272279.CrossRefGoogle ScholarPubMed
Staff, R. T., Murray, A. D., Ahearn, T. S., Mustafa, N., Fox, H. C. and Whalley, L. J. (2012). Childhood socioeconomic status and adult brain size: childhood socioeconomic status influences adult hippocampal size. Annals of Neurology, 71, 653660.CrossRefGoogle ScholarPubMed
St John, P. and Montgomery, P. (2002). Are cognitively intact seniors with subjective memory loss more likely to develop dementia? International Journal of Geriatric Psychiatry, 17, 814820.CrossRefGoogle ScholarPubMed
Stern, Y. (2012). Cognitive reserve in ageing and Alzheimer’s disease. Lancet Neurology, 11, 10061012.CrossRefGoogle ScholarPubMed
Tani, Y., Fujiwara, T., Kondo, N., Noma, H., Sasaki, Y. and Kondo, K. (2016a). Childhood socioeconomic status and onset of depression among Japanese older adults: the JAGES prospective cohort study. American Journal of Geriatric Psychiatry, 24, 717726.CrossRefGoogle ScholarPubMed
Tani, Y. et al. (2016b). Childhood socioeconomic disadvantage is associated with lower mortality in older Japanese men: the JAGES cohort study. International Journal of Epidemiology, 45, 12261235.Google ScholarPubMed
Turrell, G. et al. (2002). Socioeconomic position across the life course and cognitive function in late middle age. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 57, S4351.CrossRefGoogle Scholar
van Oijen, M., de Jong, F. J., Hofman, A., Koudstaal, P. J. and Breteler, M. M. (2007). Subjective memory complaints, education, and risk of Alzheimer’s disease. Alzheimers & Dementia, 3, 9297.CrossRefGoogle ScholarPubMed
Wang, L. et al. (2004). Subjective memory deterioration and future dementia in people aged 65 and older. Journal of the American Geriatrics Society, 52, 20452051.CrossRefGoogle ScholarPubMed
Ward, M. M. (2011). Concordance of sibling’s recall of measures of childhood socioeconomic position. BMC Medical Research Methodology, 11, 147.CrossRefGoogle ScholarPubMed
Yamamoto, T., Kondo, K., Aida, J., Fuchida, S., Hirata, Y. and Grp, J. (2014). Association between the longest job and oral health: Japan Gerontological Evaluation Study project cross-sectional study. BMC Oral Health, 14, 130.CrossRefGoogle ScholarPubMed
Zhang, J. and Yu, K. F. (1998). What’s the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. Journal of the American Medical Association, 280, 16901691.CrossRefGoogle ScholarPubMed
Supplementary material: File

Nishizawa et al. supplementary material

Nishizawa et al. supplementary material
Download Nishizawa et al. supplementary material(File)
File 26 KB