Pulmonary Function in Midlife as a Predictor of Later-Life Cognition: The Coronary Artery Risk Development in Adults (CARDIA) Study.


Journal

The journals of gerontology. Series A, Biological sciences and medical sciences
ISSN: 1758-535X
Titre abrégé: J Gerontol A Biol Sci Med Sci
Pays: United States
ID NLM: 9502837

Informations de publication

Date de publication:
29 12 2022
Historique:
received: 10 09 2021
pubmed: 3 2 2022
medline: 3 1 2023
entrez: 2 2 2022
Statut: ppublish

Résumé

Studies found associations between pulmonary function (PF) and cognition, but these are limited by mostly cross-sectional design and a single measure of PF (typically forced expiratory volume in 1 second [FEV1]). Our objective was to prospectively analyze the association of repeatedly measured PF with cognition. We studied 3 499 participants in the Coronary Artery Risk Development in Young Adults cohort with cognition measured at year 25 (Y25) and Y30, and PF (FEV1 and forced vital capacity [FVC], reflecting better PF) measured up to 6 times from Y0 to Y20. Cognition was measured via Stroop test, Rey-Auditory Verbal Learning Test [RAVLT], and digit symbol substitution test [DSST], which capture executive function, verbal learning and memory, and attention and psychomotor speed, respectively; lower Stroop, and higher RAVLT and DSST scores indicate better cognition. We modeled linear, cross-sectional associations between cognition and PF at Y30 (mean age 55), and mixed models to examine associations between cognition at Y25-Y30 and longitudinal PF (both annual rate of change, and cumulative PF from Y0 to Y20). At Y30, FEV1 and FVC were cross-sectionally associated with all 3 measures of cognition (β = 0.08-0.12, p < .01-.02). Annual change from peak FEV1/FVC ratio was associated with Stroop and DSST (β = 18.06, 95% CI = 7.71-28.40; β = 10.30, 95% CI = 0.26-20.34, respectively), but not RAVLT. Cumulative FEV1 and FVC were associated with Stroop and DSST (β = 0.07-0.12, p < .01-.02), but only cumulative FEV1 was associated with RAVLT (β = 0.07, 95% CI = 0.00-0.14). We identified prospective associations between measures of PF and cognition even at middle ages, adding evidence of a prospective association between reduced PF and cognitive decline.

Sections du résumé

BACKGROUND
Studies found associations between pulmonary function (PF) and cognition, but these are limited by mostly cross-sectional design and a single measure of PF (typically forced expiratory volume in 1 second [FEV1]). Our objective was to prospectively analyze the association of repeatedly measured PF with cognition.
METHODS
We studied 3 499 participants in the Coronary Artery Risk Development in Young Adults cohort with cognition measured at year 25 (Y25) and Y30, and PF (FEV1 and forced vital capacity [FVC], reflecting better PF) measured up to 6 times from Y0 to Y20. Cognition was measured via Stroop test, Rey-Auditory Verbal Learning Test [RAVLT], and digit symbol substitution test [DSST], which capture executive function, verbal learning and memory, and attention and psychomotor speed, respectively; lower Stroop, and higher RAVLT and DSST scores indicate better cognition. We modeled linear, cross-sectional associations between cognition and PF at Y30 (mean age 55), and mixed models to examine associations between cognition at Y25-Y30 and longitudinal PF (both annual rate of change, and cumulative PF from Y0 to Y20).
RESULTS
At Y30, FEV1 and FVC were cross-sectionally associated with all 3 measures of cognition (β = 0.08-0.12, p < .01-.02). Annual change from peak FEV1/FVC ratio was associated with Stroop and DSST (β = 18.06, 95% CI = 7.71-28.40; β = 10.30, 95% CI = 0.26-20.34, respectively), but not RAVLT. Cumulative FEV1 and FVC were associated with Stroop and DSST (β = 0.07-0.12, p < .01-.02), but only cumulative FEV1 was associated with RAVLT (β = 0.07, 95% CI = 0.00-0.14).
CONCLUSIONS
We identified prospective associations between measures of PF and cognition even at middle ages, adding evidence of a prospective association between reduced PF and cognitive decline.

Identifiants

pubmed: 35106576
pii: 6519622
doi: 10.1093/gerona/glac026
pmc: PMC9799217
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2517-2523

Subventions

Organisme : American Heart Association-American Stroke Association
ID : 19CDA34630050
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800007I
Pays : United States
Organisme : Intramural NIH HHS
Pays : United States
Organisme : NIA NIH HHS
ID : AG0005
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800005I
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800004I
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001422
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800003I
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL122477
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800006I
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Brian T Joyce (BT)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Xuefen Chen (X)

Department of Epidemiology and Health Statistics, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Kristine Yaffe (K)

UCSF Weill Institute for Neurosciences, University of California-San Francisco, San Francisco, California, USA.

Benjamin E Henkle (BE)

Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.

Tao Gao (T)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Yinan Zheng (Y)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Ravi Kalhan (R)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

George Washko (G)

Department of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, USA.

Ken M Kunisaki (KM)

Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.

Bharat Thyagarajan (B)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA.

Myron Gross (M)

Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA.

David R Jacobs (DR)

Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.

Donald Lloyd-Jones (D)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Kiang Liu (K)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Stephen Sidney (S)

Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.

Lifang Hou (L)

Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

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Classifications MeSH