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Published in: BMC Geriatrics 1/2021

Open Access 01-12-2021 | Dementia | Research

Ageing and dementia: age-period-cohort effects of policy intervention in England, 2006–2016

Author: Kamila Kolpashnikova

Published in: BMC Geriatrics | Issue 1/2021

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Abstract

Background

Dementia is one of the most critical challenges of our time. According to the Dementia Statistics Hub, only about 66 % of all UK residents with dementia were diagnosed in 2017–2018. Yet, there are reservations about the early diagnosis of dementia-related diseases. As a result, the UK National Screening Committee does not recommend systematic population screening of dementia, although case-finding strategies are still applied for high-risk groups.

Methods

This study added additional evidence of the effectiveness of the National Dementia Strategy and increased numbers of diagnosis of dementia on the younger cohorts of the older people, using the intrinsic estimator age-period-cohort (APC) models and the English Longitudinal Study of Ageing data.

Results

Age effects show that diagnosis increases in volume only among those aged 75 and above, suggesting that many of those aged below 75 might not be diagnosed in time. Period effects show that although there was an initial increase due to the new policy implementation, the trend stalled in later years, indicating that the increase might not have been even across the period when controlled for age and cohort. The study also shows that cohort effects indicate lower prevalence in younger cohorts controlled for age and period effects.

Conclusions

Although more research in diverse contexts is warranted, this study cautions against the abandonment of timely diagnosis, increased screening and case-finding, and shows some effectiveness of prevention strategies on the national level.
Literature
2.
go back to reference Donegan K, Fox N, Black N, Livingston G, Banerjee S, Burns A: Trends in diagnosis and treatment for people with dementia in the UK from 2005 to 2015: a longitudinal retrospective cohort study. The Lancet Public Health 2017, 2(3):e149-e156.CrossRef Donegan K, Fox N, Black N, Livingston G, Banerjee S, Burns A: Trends in diagnosis and treatment for people with dementia in the UK from 2005 to 2015: a longitudinal retrospective cohort study. The Lancet Public Health 2017, 2(3):e149-e156.CrossRef
3.
go back to reference Brayne C, Kelly S: Against the stream: early diagnosis of dementia, is it so desirable?BJPsych bulletin 2019, 43(3):123–125.CrossRef Brayne C, Kelly S: Against the stream: early diagnosis of dementia, is it so desirable?BJPsych bulletin 2019, 43(3):123–125.CrossRef
4.
go back to reference Lohmeyer JL, Alpinar-Sencan Z, Schicktanz S: Attitudes towards prediction and early diagnosis of late-onset dementia: a comparison of tested persons and family caregivers. Aging & Mental Health 2020, 25(5):832–843. Lohmeyer JL, Alpinar-Sencan Z, Schicktanz S: Attitudes towards prediction and early diagnosis of late-onset dementia: a comparison of tested persons and family caregivers. Aging & Mental Health 2020, 25(5):832–843.
5.
go back to reference Giacconi R, Giuli C, Casoli T, Balietti M, Costarelli L, Provinciali M, Basso A, Piacenza F, Postacchini D, Galeazzi R: Acetylcholinesterase inhibitors in Alzheimer’s disease influence Zinc and Copper homeostasis. Journal of Trace Elements in Medicine and Biology 2019, 55:58–63.CrossRef Giacconi R, Giuli C, Casoli T, Balietti M, Costarelli L, Provinciali M, Basso A, Piacenza F, Postacchini D, Galeazzi R: Acetylcholinesterase inhibitors in Alzheimer’s disease influence Zinc and Copper homeostasis. Journal of Trace Elements in Medicine and Biology 2019, 55:58–63.CrossRef
6.
go back to reference Small DH: Acetylcholinesterase inhibitors for the treatment of dementia in Alzheimer’s disease: do we need new inhibitors?Expert opinion on emerging drugs 2005, 10(4):817–825.CrossRef Small DH: Acetylcholinesterase inhibitors for the treatment of dementia in Alzheimer’s disease: do we need new inhibitors?Expert opinion on emerging drugs 2005, 10(4):817–825.CrossRef
7.
go back to reference Banks J, Batty GD, Coughlin K, Deepchand K, Marmot M, Nazroo J, Oldfield Z, Steel N, Steptoe, Wood M et al: English Longitudinal Study of Ageing: Waves 0–8, 1998–2017. In., 29th Edition edn: UK Data Service; 2019. Banks J, Batty GD, Coughlin K, Deepchand K, Marmot M, Nazroo J, Oldfield Z, Steel N, Steptoe, Wood M et al: English Longitudinal Study of Ageing: Waves 08, 1998–2017. In., 29th Edition edn: UK Data Service; 2019.
8.
go back to reference Banks J, Muriel A, Smith JP: Attrition and health in ageing studies: evidence from ELSA and HRS. Longitudinal and life course studies 2011, 2(2):101–126. Banks J, Muriel A, Smith JP: Attrition and health in ageing studies: evidence from ELSA and HRS. Longitudinal and life course studies 2011, 2(2):101–126.
9.
go back to reference Yang Y, Schulhofer-Wohl S, Fu WJ, Land KC: The intrinsic estimator for age-period-cohort analysis: what it is and how to use it. Am J Sociol 2008, 113(6):1697–1736.CrossRef Yang Y, Schulhofer-Wohl S, Fu WJ, Land KC: The intrinsic estimator for age-period-cohort analysis: what it is and how to use it. Am J Sociol 2008, 113(6):1697–1736.CrossRef
10.
go back to reference Schwadel P: Age, period, and cohort effects on religious activities and beliefs. Social Science Research 2011, 40(1):181–192.CrossRef Schwadel P: Age, period, and cohort effects on religious activities and beliefs. Social Science Research 2011, 40(1):181–192.CrossRef
11.
go back to reference Schwadel P, Stout M: Age, period and cohort effects on social capital. Soc Forces 2012, 91(1):233–252.CrossRef Schwadel P, Stout M: Age, period and cohort effects on social capital. Soc Forces 2012, 91(1):233–252.CrossRef
12.
go back to reference Yang Y, Fu WJ, Land KC: A methodological comparison of age-period‐cohort models: the intrinsic estimator and conventional generalized linear models. Sociological methodology 2004, 34(1):75–110.CrossRef Yang Y, Fu WJ, Land KC: A methodological comparison of age-period‐cohort models: the intrinsic estimator and conventional generalized linear models. Sociological methodology 2004, 34(1):75–110.CrossRef
13.
go back to reference Masters RK, Powers DA, Hummer RA, Beck A, Lin S-F, Finch BK: Fitting age-period-cohort models using the Intrinsic Estimator: assumptions and misapplications. Demography 2016, 53(4):1253–1259.CrossRef Masters RK, Powers DA, Hummer RA, Beck A, Lin S-F, Finch BK: Fitting age-period-cohort models using the Intrinsic Estimator: assumptions and misapplications. Demography 2016, 53(4):1253–1259.CrossRef
14.
go back to reference Luo L: Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography 2013, 50(6):1945–1967.CrossRef Luo L: Assessing validity and application scope of the intrinsic estimator approach to the age-period-cohort problem. Demography 2013, 50(6):1945–1967.CrossRef
15.
go back to reference Bell A: Life-course and cohort trajectories of mental health in the UK, 1991–2008–a multilevel age–period–cohort analysis. Social Science & Medicine 2014, 120:21–30.CrossRef Bell A: Life-course and cohort trajectories of mental health in the UK, 1991–2008–a multilevel age–period–cohort analysis. Social Science & Medicine 2014, 120:21–30.CrossRef
16.
go back to reference Canizares M, Hogg-Johnson S, Gignac MA, Glazier RH, Badley EM: Increasing trajectories of multimorbidity over time: birth cohort differences and the role of changes in obesity and income. The Journals of Gerontology: Series B 2018, 73(7):1303–1314.CrossRef Canizares M, Hogg-Johnson S, Gignac MA, Glazier RH, Badley EM: Increasing trajectories of multimorbidity over time: birth cohort differences and the role of changes in obesity and income. The Journals of Gerontology: Series B 2018, 73(7):1303–1314.CrossRef
Metadata
Title
Ageing and dementia: age-period-cohort effects of policy intervention in England, 2006–2016
Author
Kamila Kolpashnikova
Publication date
01-12-2021
Publisher
BioMed Central
Keywords
Dementia
Dementia
Published in
BMC Geriatrics / Issue 1/2021
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-021-02341-4

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