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Temporal trends in population attributable fractions of modifiable risk factors for dementia: a time-series study of the English Longitudinal Study of Ageing (2004-2019).
Chen, Shanquan; Underwood, Benjamin R; Cardinal, Rudolf N; Chen, Xi; Chen, Shu; Amin, Jay; Jin, Huajie; Huang, Jing; Mueller, Christoph; Yan, Lijing L; Brayne, Carol; Kuper, Hannah.
Afiliação
  • Chen S; International Centre for Evidence in Disability, London, School of Hygiene & Tropical Medicine , London, WC1E 7HT, UK. shanquan.chen@lshtm.ac.uk.
  • Underwood BR; Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.
  • Cardinal RN; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK.
  • Chen X; Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.
  • Chen S; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK.
  • Amin J; School of Public Health, Yale University, New Haven, CT, USA.
  • Jin H; The ARC Centre of Excellence in Population Ageing Research (CEPAR), School of Risk and Actuarial Studies, University of New South Wales, Sydney, Australia.
  • Huang J; Clinical Neurosciences, Faculty of Medicine, University of Southampton, Southampton, UK.
  • Mueller C; Southern Health NHS Foundation Trust, Southampton, UK.
  • Yan LL; King's Health Economics, Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, UK.
  • Brayne C; Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
  • Kuper H; Institute for Global Health and Development, Peking University , Beijing, China.
BMC Med ; 22(1): 268, 2024 Jun 26.
Article em En | MEDLINE | ID: mdl-38926751
ABSTRACT

BACKGROUND:

Interest in modifiable risk factors (MRFs) for dementia is high, given the personal, social, and economic impact of the disorder, especially in ageing societies such as the United Kingdom. Exploring the population attributable fraction (PAF) of dementia attributable to MRFs and how this may have changed over time remains unclear. Unravelling the temporal dynamics of MRFs is crucial for informing the development of evidence-based and effective public health policies. This investigation examined the temporal trajectories of MRFs for dementia in England.

METHODS:

We used data from the English Longitudinal Study of Ageing, a panel study over eight waves collected between 2004 and 2019 (76,904 interviews in total). We calculated the PAFs for twelve MRFs (including six early- to mid-life factors and six late-life factors), as recommended by the Lancet Commission, and the individual weighted PAFs (IW-PAFs) for each risk factor. Temporal trends were analysed to understand the changes in the overall PAF and IW-PAF over the study period. Subgroup analyses were conducted by sex and socioeconomic status (SES).

RESULTS:

The overall PAF for dementia MRFs changed from 46.73% in 2004/2005 to 36.79% in 2018/2019, though this trend was not statistically significant. During 2004-2019, hypertension, with an average IW-PAF of 8.21%, was the primary modifiable determinant of dementia, followed by obesity (6.16%), social isolation (5.61%), hearing loss (4.81%), depression (4.72%), low education (4.63%), physical inactivity (3.26%), diabetes mellitus (2.49%), smoking (2.0%), excessive alcohol consumption (1.16%), air pollution (0.42%), and traumatic brain injury (TBI) (0.26%). During 2004-2019, only IW-PAFs of low education, social isolation, and smoking showed significant decreasing trends, while IW-PAFs of other factors either did not change significantly or increased (including TBI, diabetes mellitus, and air pollution). Upon sex-specific disaggregation, a higher overall PAF for MRFs was found among women, predominantly associated with later-life risk factors, most notably social isolation, depression, and physical inactivity. Additionally, hearing loss, classified as an early- to mid-life factor, played a supplementary role in the identified sex disparity. A comparable discrepancy was evident upon PAF evaluation by SES, with lower income groups experiencing a higher dementia risk, largely tied to later-life factors such as social isolation, physical inactivity, depression, and smoking. Early- to mid-life factors, in particular, low education and obesity, were also observed to contribute to the SES-associated divergence in dementia risk. Temporal PAF and IW-PAF trends, stratified by sex and SES, revealed that MRF PAF gaps across sex or SES categories have persisted or increased.

CONCLUSIONS:

In England, there was little change over time in the proportion of dementia attributable to known modifiable risk factors. The observed trends underscore the continuing relevance of these risk factors and the need for targeted public health strategies to address them.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demência Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Demência Idioma: En Ano de publicação: 2024 Tipo de documento: Article