Evidence map›Paper›PMID 37803815›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2024

Dried blood spot based biomarkers in the Health and Retirement Study: 2006 to 2016.

Jung Ki Kim, Jessica Faul, David R Weir, Eileen M Crimmins

Open access · hybridAbstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Dried Blood Spots to Assess Cardiovascular-Kidney-Metabolic Health.Journal of the American Heart Association · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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  11. Pace of Aging in older adults matters for healthspan and lifespan.medRxiv : the preprint server for health sciences · 2024
    Article
  12. Article
  13. The Association Between Cardiometabolic Risk and Cognitive Function Among Older Americans and Chinese.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    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

4 authors at 2 institutions in 1 country.

Jung Ki KimDavis School of Gerontology, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-4842-0579
Jessica FaulSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
David R WeirSurvey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.
Eileen M CrimminsDavis School of Gerontology, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-5459-5239
University of Michigan · USUniversity of Southern California · US

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
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
Understanding Cross-National Health Differences at Older Ages and Their CausesR01AG063944 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI BOERSCH-SUPAN, AXEL H, CRIMMINS, EILEEN M · 2019 to 2024
$3.2M
NIA NIH HHS P30 AG017265NIA NIH HHS R01 AG063944NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

introductionThe Health and Retirement Study (HRS) has collected biomarker data over multiple waves. Such data can help improve our understanding of health changes in individuals and the causal pathways related to health. There are, however, technical challenges to using the HRS dried blood spots (DBS) biomarker data due to changes over time in assay protocols, platforms, and laboratories. We provide technical and summary information on biological indicators collected as part of the HRS from 2006 to 2016 that should be helpful to users of the data.

methodsWe describe the opportunities and challenges provided by the HRS DBS data as well as insights provided by the data. The HRS collected DBS from its nationally representative sample of respondents 51 years of age or older from 2006 to 2016. DBS-based biomarkers were collected from half the sample in 2006, 2010, and 2014, and from the other half of the sample in 2008, 2012, and 2016. These DBS specimens were used to assay total and HDL cholesterol, glycosylated hemoglobin, C-reactive protein, and cystatin C from 2006 to 2016, and Interleukin 6 was added in 2014/2016. Samples included approximately 6000 individuals at each wave, and completion rates ranged from 81% to 90%. HRS transformed DBS values into venous blood equivalents to make them more comparable to those of the whole blood-based assays collected in most other studies and to facilitate longitudinal analysis.

resultsDistribution of changes over time by age shows that total cholesterol levels decreased for each age, while HbA1c levels increased. Cystatin C shows a clear age gradient, but a number of other markers do not. Non-Hispanic Black persons and Hispanic respondents have a higher incidence of risk levels of each biomarker except for CRP among non-Hispanic Black older persons.

conclusionThese public-use DBS data provide analysis opportunities that can be used to improve our understanding of health change with age in both populations and among individuals.

Indexed as

Cystatin CRetirementAgedAged, 80 and overBiomarkersC-Reactive ProteinDried Blood Spot TestingHumansBiomarkersC-Reactive ProteinCystatin C

Identifiers

PMID37803815
PMCPMC10873048
OpenAlexW4387420638

What OpenQuestion holds

Textmetadata
LicenceTDM
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.