Association of Lifestyle and Genetic Risk With Incidence of Dementia.


Journal

JAMA
ISSN: 1538-3598
Titre abrégé: JAMA
Pays: United States
ID NLM: 7501160

Informations de publication

Date de publication:
06 Aug 2019
Historique:
pubmed: 16 7 2019
medline: 16 7 2019
entrez: 15 7 2019
Statut: ppublish

Résumé

Genetic factors increase risk of dementia, but the extent to which this can be offset by lifestyle factors is unknown. To investigate whether a healthy lifestyle is associated with lower risk of dementia regardless of genetic risk. A retrospective cohort study that included adults of European ancestry aged at least 60 years without cognitive impairment or dementia at baseline. Participants joined the UK Biobank study from 2006 to 2010 and were followed up until 2016 or 2017. A polygenic risk score for dementia with low (lowest quintile), intermediate (quintiles 2 to 4), and high (highest quintile) risk categories and a weighted healthy lifestyle score, including no current smoking, regular physical activity, healthy diet, and moderate alcohol consumption, categorized into favorable, intermediate, and unfavorable lifestyles. Incident all-cause dementia, ascertained through hospital inpatient and death records. A total of 196 383 individuals (mean [SD] age, 64.1 [2.9] years; 52.7% were women) were followed up for 1 545 433 person-years (median [interquartile range] follow-up, 8.0 [7.4-8.6] years). Overall, 68.1% of participants followed a favorable lifestyle, 23.6% followed an intermediate lifestyle, and 8.2% followed an unfavorable lifestyle. Twenty percent had high polygenic risk scores, 60% had intermediate risk scores, and 20% had low risk scores. Of the participants with high genetic risk, 1.23% (95% CI, 1.13%-1.35%) developed dementia compared with 0.63% (95% CI, 0.56%-0.71%) of the participants with low genetic risk (adjusted hazard ratio, 1.91 [95% CI, 1.64-2.23]). Of the participants with a high genetic risk and unfavorable lifestyle, 1.78% (95% CI, 1.38%-2.28%) developed dementia compared with 0.56% (95% CI, 0.48%-0.66%) of participants with low genetic risk and favorable lifestyle (hazard ratio, 2.83 [95% CI, 2.09-3.83]). There was no significant interaction between genetic risk and lifestyle factors (P = .99). Among participants with high genetic risk, 1.13% (95% CI, 1.01%-1.26%) of those with a favorable lifestyle developed dementia compared with 1.78% (95% CI, 1.38%-2.28%) with an unfavorable lifestyle (hazard ratio, 0.68 [95% CI, 0.51-0.90]). Among older adults without cognitive impairment or dementia, both an unfavorable lifestyle and high genetic risk were significantly associated with higher dementia risk. A favorable lifestyle was associated with a lower dementia risk among participants with high genetic risk.

Identifiants

pubmed: 31302669
pii: 2738355
doi: 10.1001/jama.2019.9879
pmc: PMC6628594
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

430-437

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : RF1 AG055654
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Auteurs

Ilianna Lourida (I)

University of Exeter Medical School, Exeter, United Kingdom.
NIHR CLAHRC South West Peninsula (PenCLAHRC), University of Exeter Medical School, Exeter, United Kingdom.

Eilis Hannon (E)

University of Exeter Medical School, Exeter, United Kingdom.

Thomas J Littlejohns (TJ)

Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.

Kenneth M Langa (KM)

Institute for Healthcare Policy and Innovation, Division of General Medicine, Institute for Social Research, University of Michigan, Ann Arbor.
Veterans Affairs Center for Clinical Management Research, Ann Arbor, Michigan.

Elina Hyppönen (E)

Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia.
Population, Policy and Practice, University College London, Great Ormond Street, Institute of Child Health, London, United Kingdom.

Elzbieta Kuzma (E)

University of Exeter Medical School, Exeter, United Kingdom.
Albertinen-Haus Centre for Geriatrics and Gerontology, Scientific Department at the University of Hamburg, Hamburg, Germany.
Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

David J Llewellyn (DJ)

University of Exeter Medical School, Exeter, United Kingdom.
The Alan Turing Institute, London, United Kingdom.

Classifications MeSH