Evidence map›Paper›PMID 34180993›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Conceptual and Analytical Overlap Between Allostatic Load and Systemic Biological Aging Measures: Analyses From the National Survey of Midlife Development in the United States.

Waylon J Hastings, David M Almeida, Idan Shalev

Open access · greenAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

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  18. All-Subset Analysis Improves the Predictive Accuracy of Biological Age for All-Cause Mortality in Chinese and U.S. Populations.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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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

3 authors at 1 institution in 1 country.

Waylon J HastingsDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, USA.ORCID 0000-0003-0875-2568
David M AlmeidaDepartment of Human Development and Family Studies, The Pennsylvania State University, University Park, USA.
Idan ShalevDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, USA.ORCID 0000-0003-0773-4835
Pennsylvania State University · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
The Comparability and Reproducibility of Telomere Length Measurements for Population-based StudiesU01ES030949 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHALEV, IDAN · 2019 to 2021
$948k
NCATS NIH HHS UL1 TR001409NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR002373NCRR NIH HHS UL1 RR025011NIA NIH HHS P01 AG020166NIA NIH HHS T32 AG049676NIA NIH HHS T32AG049679NIA NIH HHS U19 AG051426NIEHS NIH HHS U01 ES030949
6 · The paper itself

Abstract

backgroundIndices quantifying allostatic load (AL) and biological aging (BA) have independently received widespread use in epidemiological literature. However, little attention has been paid to their conceptual and quantitative overlap. By reviewing literature utilizing measures of AL and BA, and conducting comparative analysis, we highlight similarities and differences in biological markers employed and approach toward scale construction. Further, we outline opportunities where both types of indices might be improved by adopting methodological features of the other.

methodsUsing data from the National Survey of Midlife Development in the United States (N = 2055, age = 26-86), we constructed 3 AL indices: 1 common literature standard and 2 alternative formulations informed by previous work with measures of BA. The performance of AL indices was juxtaposed against 2 commonly employed BA indices: Klemera-Doubal Method Biological Age and Homeostatic Dysregulation.

resultsAll indices correlated with chronological age. Participants with higher AL and older BA performed worse on tests of physical and subjective functioning. Further, participants with increased life-course risk exposure exhibited higher AL and BA. Notably, alternative AL formulations tended to exhibit effect sizes equivalent to or larger than those observed for BA measures, and displayed superior mortality prediction.

conclusionsIn addition to their conceptual similarity, AL and BA indices also exhibit significant analytical similarity. Further, BA measures are robust to construction using a panel of biomarkers not observed in previous iterations, including carotenoids indexing antioxidant capacity. In turn, AL indices could benefit by adopting the methodological rigor formalized within BA composites, such as applying biomarker down-selection criteria.

Indexed as

AllostasisAgedAged, 80 and overAgingBiomarkersHumansUnited StatesBiomarkersBiomarkersEpidemiologyFunctional performanceHealthspanRisk factors

Identifiers

PMID34180993
PMCPMC9159656
OpenAlexW3176858068

What OpenQuestion holds

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Registered trials

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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.