Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-21T13:14:33.906Z Has data issue: false hasContentIssue false
  • English
  • Français

Does “one size fit all” in subjective cognitive decline?

Published online by Cambridge University Press:  15 June 2021

Lorenzo Pini  and
Alexandra M. Wennberg
Lorenzo Pini
Affiliation:
Padova Neuroscience Center, University of Padova, Italy
Alexandra M. Wennberg*
Affiliation:
Padova Neuroscience Center, University of Padova, Italy Department of Neuroscience, University of Padova, Italy Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
*
Email: alexandra.wennberg@ki.se
Get access

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentary
Information
International Psychogeriatrics , Volume 33 , Special Issue 7: Issue Theme: Cognitive Aging: Subjective and Objective , July 2021 , pp. 651 - 653
Copyright
© International Psychogeriatric Association 2021

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

Allen, S. M., Piette, E. R. and Mor, V. (2014). The adverse consequences of unmet need among older persons living in the community: dual-eligible versus Medicare-only beneficiaries. Journals of Gerontology Series B, 69 Suppl 1, S51–S58.CrossRefGoogle ScholarPubMed
Babulal, G. M. et al. (2019). Perspectives on ethnic and racial disparities in Alzheimer’s disease and related dementias: update and areas of immediate need. Alzheimer’s & Dementia, 15, 292-312.CrossRefGoogle ScholarPubMed
Berridge, C. and Mor, V. (2018). Disparities in the prevalence of unmet needs and their consequences among black and white older adults. Journal of Aging and Health, 30, 1427-1449.CrossRefGoogle ScholarPubMed
Bouldin, E. et al. (2020). Unmet needs for assistance related to subjective cognitive decline among community-dwelling middle-aged and older adults in the US: prevalence and impact on health-related quality of life. International Psychogeriatrics. doi: 10.1017/S1041610220001635.CrossRefGoogle Scholar
Burmester, B., Leathem, J. and Merrick, P. (2016). Subjective cognitive complaints and objective cognitive function in aging: a systematic review and meta-analysis of recent cross-sectional findings. Neuropsychology Review, 26, 376–393.CrossRefGoogle ScholarPubMed
Chapman, S. (2020). Subjective cognitive decline predicts dementia in a multiracial sample. Alzheimer’s Association International Conference Amsterdam, Netherlands.Google Scholar
Colby, S. and Ortman, J. (2015). Projections of the size and composition of the U.S. population: 2014 to 2060.Google Scholar
Crystal, S., Shea, D. G. and Reyes, A. M. (2017). Cumulative advantage, cumulative disadvantage, and evolving patterns of late-life inequality. Gerontologist, 57, 910-920.Google ScholarPubMed
Freedman, V. A. and Spillman, B. C. (2014). The residential continuum from home to nursing home: size, characteristics and unmet needs of older adults. Journals of Gerontology Series B, 69 (Suppl. 1), S42–S50.CrossRefGoogle ScholarPubMed
Jessen, F. et al. (2020). The characterisation of subjective cognitive decline. Lancet Neurology, 19, 271-278.CrossRefGoogle ScholarPubMed
Jessen, F. et al. (2014). A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimer’s & Dementia, 10, 844-852.CrossRefGoogle ScholarPubMed
Liew, T. M. (2019). Depression, subjective cognitive decline, and the risk of neurocognitive disorders. Alzheimer’s Research & Therapy, 11, 70.CrossRefGoogle ScholarPubMed
Manuel, J. I. (2018). Racial/ethnic and gender disparities in health care use and access. Health Services Research, 53, 1407-1429.CrossRefGoogle ScholarPubMed
Molinuevo, J. L. et al. (2017). Implementation of subjective cognitive decline criteria in research studies. Alzheimer’s & Dementia, 13, 296-311.CrossRefGoogle ScholarPubMed
Pini, L. and Wennberg, A. M. (under review). Structural imaging outcomes in subjective cognitive decline: community vs. clinical-based samples. Experimental Gerontology.Google Scholar
Sohn, H. (2017). Racial and ethnic disparities in health insurance coverage: dynamics of gaining and losing coverage over the life-course. Population Research and Policy Review, 36, 181-201.CrossRefGoogle ScholarPubMed
Tarraf, W., Jensen, G. and González, H. M. (2017). Patient centered medical home care among near-old and older race/ethnic minorities in the US: findings from the medical expenditures panel survey. Journal of Immigrant and Minority Health, 19, 1271-1280.CrossRefGoogle ScholarPubMed
World Health Organization (2010). A conceptual framework for action on the social determinants of health. Geneva, Switzerland.Google Scholar
Xiang, X., An, R. and Heinemann, A. (2018). Depression and unmet needs for assistance with daily activities among community-dwelling older adults. Gerontologist, 58, 428–437.CrossRefGoogle ScholarPubMed
Zlatar, Z. Z., Muniz, M., Galasko, D. and Salmon, D. P. (2018). Subjective cognitive decline correlates with depression symptoms and not with concurrent objective cognition in a clinic-based sample of older adults. Journals of Gerontology Series B, 73, 1198–1202.CrossRefGoogle ScholarPubMed