Evidence map›Paper›PMID 40474946›Full record

ArticleSSM - population health2025

Co-calibration of cognitive performance in the National Health and Aging Trends Study with the Health and Retirement Study's Harmonized Cognitive Assessment Protocol: Implications for dementia classification.

Yuan S Zhang, Alden L Gross, Ryan J Dougherty, Lindsay C Kobayashi, Jennifer A Schrack, Vicki A Freedman

Abstract read
In one paragraph

Article in SSM - population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuan S ZhangDepartment of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York City, NY, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Ryan J DoughertyDepartment of Kinesiology and Health, Rutgers University, New Brunswick, NJ, USA.
Lindsay C KobayashiCenter for Social Epidemiology and Population Health, Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Vicki A FreedmanInstitute for Social Research, University of Michigan, Ann Arbor, MI, USA.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VICKI A. FREEDMAN · 1999 to 2026
$23.2M
Socioeconomic, Cardiovascular, and Psychosocial Sources of Cross-National Variation in Cognitive Health Among Older AdultsR01AG070953 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alden L. Gross, Lindsay C Kobayashi · 2021 to 2026
$4.6M
Research Network for the Harmonized Cognitive Assessment Protocol (HCAP): Years 6-10U24AG065182 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lindsay C Kobayashi, KENNETH M LANGA · 2022 to 2026
$2.6M
A cross-national comparative study on cardiometabolic risk, education, and cognitive agingR00AG070274 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZHANG, YUAN S · 2023 to 2025
$721k
Energy expenditure, cognitive function, and biomarker features of Alzheimer's diseaseK01AG080122 · NIA · RUTGERS, THE STATE UNIV OF N.J. · PI Ryan James Dougherty · 2023 to 2026
$501k
NIA NIH HHS K01 AG080122NIA NIH HHS P30 AG012846NIA NIH HHS P30 AG066507NIA NIH HHS R00 AG070274NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG070953NIA NIH HHS U01 AG009740NIA NIH HHS U01 AG032947NIA NIH HHS U24 AG065182
6 · The paper itself

Abstract

Background: Large population-based studies are crucial for dementia research; yet variation in cognitive tests and dementia classification approaches can lead to inconsistent findings. We harmonized cognitive data from two nationally representative US studies of aging to facilitate comparisons. Methods: We examined 2016 data for individuals aged ≥70 years from the National Health and Aging Trends Study (NHATS) (n = 5696) and the Harmonized Cognitive Assessment Protocol (HCAP) of the Health and Retirement Study (HRS) (n = 2731). We derived factor scores for general cognitive performance in the NHATS cognitive test battery that were co-calibrated to the HRS-HCAP battery and identified cutpoints for dementia that returned the expected prevalence in each study. We evaluated diagnostic characteristics of the cutpoints against study-specific dementia algorithms with Area Under the Curve analysis. Results: Study-specific algorithms yielded comparable dementia prevalence estimates: 10.8 % in NHATS and 11.1 % in HRS-HCAP. Co-calibrated scores showed similar distributions and had acceptable reliability, with similar dementia cutpoints. In both studies, sensitivity was higher among lower-educated (vs. higher educated) and non-White (vs. non-Hispanic White) groups. Co-calibrated populations with dementia in both studies had similar age and gender distributions but differed somewhat in education levels and race/ethnicity profiles. Conclusions: NHATS and HRS-HCAP both provide reliable cognitive function measures and dementia prevalence estimates for older Americans. Co-calibrated scores based on each study's cognitive test battery provide a valid and feasible approach for comparative US research. Better aligned algorithmic approaches across studies could strengthen opportunities for comparative studies of disparities in the US context using the co-calibration approach.

Identifiers

PMID40474946
PMCPMC12138453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.