TY - JOUR
T1 - Trends in the risk of cognitive impairment in the United States, 1996-2014
AU - Hale, Jo Mhairi
AU - Schneider, Daniel C.
AU - Gampe, Jutta
AU - Mehta, Neil K.
AU - Myrskylä, Mikko
N1 - Funding Information:
Submitted December 4, 2019; accepted May 24, 2020. From the aUniversity of St Andrews, St Andrews, Scotland; bMax Planck Institute for Demographic Research, Rostock, Germany; cUniversity of Michigan, Ann Arbor, MI; dUniversity of Helsinki, Helsinki, Finland; and eLondon School of Economics, London, England. N.K.M. received support from US National Institute on Aging (R03AG060404 and 2T32AG027708-06A1). The authors report no conflicts of interest. Supplemental digital content is available through direct URL citations in the HTML and PDF versions of this article (www.epidem.com). The data used in this study are publicly available on the Health and Retire-ment Study website, upon registration (http://hrsonline.isr.umich.edu/). Stata code for reproducing our results are available at the Open Science Framework (https://osf.io/). Correspondence: Jo Mhairi Hale, School of Geography and Sustainable De-velopment, University of St Andrews, Irvine Building, St Andrews, Fife, KY16 9AL, Scotland. E-mail: jo.hale@st-andrews.ac.uk.
Funding Information:
The Health and Retirement Study (HRS) is a nationally representative, biennial panel survey of US residents age 50 and older and their spouses. The University of Michigan Institutional Review Board granted ethical approval for the Health and Retirement Study. It includes information on health, demographic factors, educational attainment, and a version of the Telephone Interview for Cognitive Status (TICS-M), specifically modified to be sensitive to pathological cognitive decline and minimize ceiling effects.39,41The University of Michigan conducts the HRS,42,43 which is sponsored by the National Institute on Aging (grant number NIA U01AG009740). We use RAND Version P of the HRS, selecting respondents ages 50 and older and all the waves in which the TICS-M measures we utilize were administered consistently (1996–2014). We use the University of Michigan Survey Research Center’s imputed TICS-M values.44
Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Background: Accumulating evidence suggests risk of cognitive impairment is declining in high-income countries. Much of this research uses longitudinal surveys in which learning over repeated tests may bias results. We analyze trends in cognitive impairment in the United States, accounting for prior test experience and selective mortality. Methods: We use the Health and Retirement Study, a population-based, nationally representative panel dataset and include individuals ages 50 years and older in 1996-2014 (n = 32,784). We measure cognitive impairment and dementia using standard cutpoints of the modified Telephone Interview for Cognitive Status. We estimate logistic regression models for any impairment and dementia over time, adjusting for age, sex, and race/ethnicity, comparing models with and without adjustment for practice effects and education. We examine heterogeneity in trends by age, sex, race/ethnicity, and education. Results: Models not controlling for test experience suggest that risk of cognitive impairment and dementia decreased over the study period. Controlling for test experience reverses the trend. In our primary models, prevalence of any cognitive impairment increased for women from 18.7% to 21.2% (annual change 0.7%, 95% confidence interval [CI], 0.1%, 1.3%) and for men from 17.6% to 21.0% (annual change 1.0%, CI, 0.5%, 1.4%). For dementia, women's annual increase was 1.7% (CI, 0.8%, 2.6%) and men's 2.0% (CI, 1.0%, 2.9%). If not for education, the increase would have been stronger. Increased risk was particularly rapid for Latinas, the least educated, and older ages. Conclusions: Risk of cognitive impairment increased from 1996 to 2014. Uncovering determinants of increasing cognitive impairment risk should become a research priority. See video abstract: http://links.lww.com/EDE/B702.
AB - Background: Accumulating evidence suggests risk of cognitive impairment is declining in high-income countries. Much of this research uses longitudinal surveys in which learning over repeated tests may bias results. We analyze trends in cognitive impairment in the United States, accounting for prior test experience and selective mortality. Methods: We use the Health and Retirement Study, a population-based, nationally representative panel dataset and include individuals ages 50 years and older in 1996-2014 (n = 32,784). We measure cognitive impairment and dementia using standard cutpoints of the modified Telephone Interview for Cognitive Status. We estimate logistic regression models for any impairment and dementia over time, adjusting for age, sex, and race/ethnicity, comparing models with and without adjustment for practice effects and education. We examine heterogeneity in trends by age, sex, race/ethnicity, and education. Results: Models not controlling for test experience suggest that risk of cognitive impairment and dementia decreased over the study period. Controlling for test experience reverses the trend. In our primary models, prevalence of any cognitive impairment increased for women from 18.7% to 21.2% (annual change 0.7%, 95% confidence interval [CI], 0.1%, 1.3%) and for men from 17.6% to 21.0% (annual change 1.0%, CI, 0.5%, 1.4%). For dementia, women's annual increase was 1.7% (CI, 0.8%, 2.6%) and men's 2.0% (CI, 1.0%, 2.9%). If not for education, the increase would have been stronger. Increased risk was particularly rapid for Latinas, the least educated, and older ages. Conclusions: Risk of cognitive impairment increased from 1996 to 2014. Uncovering determinants of increasing cognitive impairment risk should become a research priority. See video abstract: http://links.lww.com/EDE/B702.
KW - Cognitive impairment
KW - Dementia; Learning
KW - Practice effects
KW - Trends
UR - http://www.scopus.com/inward/record.url?scp=85088908958&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85088908958&partnerID=8YFLogxK
U2 - 10.1097/EDE.0000000000001219
DO - 10.1097/EDE.0000000000001219
M3 - Article
C2 - 32740472
AN - SCOPUS:85088908958
SN - 1044-3983
VL - 31
SP - 745
EP - 754
JO - Epidemiology
JF - Epidemiology
IS - 5
ER -