Time Trend in Persistent Cognitive Decline: Results from the Longitudinal Aging Study Amsterdam

Tessa N. Van Den Kommer, Dorly J.H. Deeg, Wiesje M. Van Der Flier, Hannie C. Comijs

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objective To study time trends in the incidence of persistent cognitive decline (PCD), and whether an increase or decrease is explained by changes in well-known risk factors of dementia. Method Data from the Longitudinal Aging Study Amsterdam over a period of 20 years were used. Subsamples of 65-88 year-olds were selected at 7 waves, with numbers ranging from 1,800 to 1,165. Within-person change in cognitive functioning was used to determine PCD. In logistic generalized estimating equations (GEE), time (0, 3, 6, 9, 13, and 16 years) was the main predictor of 3-year PCD incidence. Explanatory variables were lagged one wave before incident PCD and included in separate models. Results PCD incidence was 2.5% at first, and 3.4% at last follow-up. GEE showed a positive time trend for PCD incidence [Exp(B) time = 1.042; p <.001]. None of the explanatory variables significantly changed the strength of the regression coefficient of linear time. Higher age, lower education, diabetes mellitus, smoking, lower body-mass index, and lower level of physical activity were associated with higher incidence of PCD. Conclusion An increase in PCD incidence over time was found. Although well-known risk factors were associated with incidence per se, they did not explain the increase in incidence of PCD.

Original languageEnglish
Pages (from-to)S57-S64
JournalJournals of Gerontology - Series B Psychological Sciences and Social Sciences
Volume73
DOIs
Publication statusPublished - 16 Apr 2018

Cite this

@article{d6c17ac343504161919184da9055155b,
title = "Time Trend in Persistent Cognitive Decline: Results from the Longitudinal Aging Study Amsterdam",
abstract = "Objective To study time trends in the incidence of persistent cognitive decline (PCD), and whether an increase or decrease is explained by changes in well-known risk factors of dementia. Method Data from the Longitudinal Aging Study Amsterdam over a period of 20 years were used. Subsamples of 65-88 year-olds were selected at 7 waves, with numbers ranging from 1,800 to 1,165. Within-person change in cognitive functioning was used to determine PCD. In logistic generalized estimating equations (GEE), time (0, 3, 6, 9, 13, and 16 years) was the main predictor of 3-year PCD incidence. Explanatory variables were lagged one wave before incident PCD and included in separate models. Results PCD incidence was 2.5{\%} at first, and 3.4{\%} at last follow-up. GEE showed a positive time trend for PCD incidence [Exp(B) time = 1.042; p <.001]. None of the explanatory variables significantly changed the strength of the regression coefficient of linear time. Higher age, lower education, diabetes mellitus, smoking, lower body-mass index, and lower level of physical activity were associated with higher incidence of PCD. Conclusion An increase in PCD incidence over time was found. Although well-known risk factors were associated with incidence per se, they did not explain the increase in incidence of PCD.",
keywords = "Dementia, Incidence, Older adults, Risk factors",
author = "{Van Den Kommer}, {Tessa N.} and Deeg, {Dorly J.H.} and {Van Der Flier}, {Wiesje M.} and Comijs, {Hannie C.}",
year = "2018",
month = "4",
day = "16",
doi = "10.1093/geronb/gbx151",
language = "English",
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pages = "S57--S64",
journal = "Journals of Gerontology. Series B: Psychological Sciences and Social Sciences",
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}

Time Trend in Persistent Cognitive Decline : Results from the Longitudinal Aging Study Amsterdam. / Van Den Kommer, Tessa N.; Deeg, Dorly J.H.; Van Der Flier, Wiesje M.; Comijs, Hannie C.

In: Journals of Gerontology - Series B Psychological Sciences and Social Sciences, Vol. 73, 16.04.2018, p. S57-S64.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Time Trend in Persistent Cognitive Decline

T2 - Results from the Longitudinal Aging Study Amsterdam

AU - Van Den Kommer, Tessa N.

AU - Deeg, Dorly J.H.

AU - Van Der Flier, Wiesje M.

AU - Comijs, Hannie C.

PY - 2018/4/16

Y1 - 2018/4/16

N2 - Objective To study time trends in the incidence of persistent cognitive decline (PCD), and whether an increase or decrease is explained by changes in well-known risk factors of dementia. Method Data from the Longitudinal Aging Study Amsterdam over a period of 20 years were used. Subsamples of 65-88 year-olds were selected at 7 waves, with numbers ranging from 1,800 to 1,165. Within-person change in cognitive functioning was used to determine PCD. In logistic generalized estimating equations (GEE), time (0, 3, 6, 9, 13, and 16 years) was the main predictor of 3-year PCD incidence. Explanatory variables were lagged one wave before incident PCD and included in separate models. Results PCD incidence was 2.5% at first, and 3.4% at last follow-up. GEE showed a positive time trend for PCD incidence [Exp(B) time = 1.042; p <.001]. None of the explanatory variables significantly changed the strength of the regression coefficient of linear time. Higher age, lower education, diabetes mellitus, smoking, lower body-mass index, and lower level of physical activity were associated with higher incidence of PCD. Conclusion An increase in PCD incidence over time was found. Although well-known risk factors were associated with incidence per se, they did not explain the increase in incidence of PCD.

AB - Objective To study time trends in the incidence of persistent cognitive decline (PCD), and whether an increase or decrease is explained by changes in well-known risk factors of dementia. Method Data from the Longitudinal Aging Study Amsterdam over a period of 20 years were used. Subsamples of 65-88 year-olds were selected at 7 waves, with numbers ranging from 1,800 to 1,165. Within-person change in cognitive functioning was used to determine PCD. In logistic generalized estimating equations (GEE), time (0, 3, 6, 9, 13, and 16 years) was the main predictor of 3-year PCD incidence. Explanatory variables were lagged one wave before incident PCD and included in separate models. Results PCD incidence was 2.5% at first, and 3.4% at last follow-up. GEE showed a positive time trend for PCD incidence [Exp(B) time = 1.042; p <.001]. None of the explanatory variables significantly changed the strength of the regression coefficient of linear time. Higher age, lower education, diabetes mellitus, smoking, lower body-mass index, and lower level of physical activity were associated with higher incidence of PCD. Conclusion An increase in PCD incidence over time was found. Although well-known risk factors were associated with incidence per se, they did not explain the increase in incidence of PCD.

KW - Dementia

KW - Incidence

KW - Older adults

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JF - Journals of Gerontology. Series B: Psychological Sciences and Social Sciences

SN - 1079-5014

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