{
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  "capturedAt": "2026-10-29T10:31:13.631Z",
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  "work": {
    "id": "TAP-RDN-0014",
    "type": "RDN",
    "kind": "note",
    "key": "mccrory-2023",
    "locale": "en",
    "path": "/research/mccrory-2023/",
    "title": "TAP reading note: Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis",
    "description": "This multi-cohort analysis narrows the candidate markers for allostatic-load measurement. A five-marker combination—CRP, resting heart rate, HDL cholesterol, waist-to-height ratio and HbA1c—performed similarly to longer combinations for mortality prediction within the study. Peak expiratory flow offered additional information. The contribution is a candidate set for harmonisation.",
    "rights": "© The Allostasis Project. All rights reserved. Reproduction or adaptation requires separate permission, subject to applicable legal exceptions.",
    "version": "0.3",
    "updatedAt": "2026-10-29",
    "editorial": {
      "contentType": "evidence-review",
      "reviewState": "draft",
      "reviewedAt": null,
      "reviewedVersion": null,
      "updatedAt": "2026-10-29",
      "version": "0.3",
      "author": null,
      "reviewer": null,
      "workflow": {
        "ai": {
          "usage": "used",
          "system": "OpenAI Codex",
          "scope": "Assisted source comparison, evidence extraction and bilingual research-note preparation. The materials consulted and unresolved scientific issues are specified in each note.",
          "version": "0.3",
          "tasks": [
            "Source comparison and evidence extraction",
            "Bilingual research-note drafting and editorial comparison"
          ]
        }
      },
      "revisions": [
        {
          "date": "2026-10-27",
          "version": "0.2",
          "description": "Reframed scope in terms of study design, population, outcomes and observation window."
        },
        {
          "date": "2026-10-29",
          "version": "0.3",
          "description": "Added the 13-cohort selection methods, mortality-analysis definition and limits of the five-marker combination."
        }
      ]
    },
    "original": {
      "id": "mccrory-2023",
      "title": "Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis",
      "authors": "Cathal McCrory · Sinead McLoughlin · Richard Layte · Cliona NiCheallaigh · Aisling M. O’Halloran · Henrique Barros · Lisa F. Berkman · Murielle Bochud · Eileen M. Crimmins · Meagan T. Farrell · Silvia Fraga · Emily Grundy · Michelle Kelly-Irving · Dusan Petrovic · Teresa Seeman · Silvia Stringhini · Peter Vollenveider · Rose Anne Kenny",
      "journal": "Psychoneuroendocrinology",
      "year": "2023",
      "url": "https://doi.org/10.1016/j.psyneuen.2023.106117",
      "doi": "10.1016/j.psyneuen.2023.106117",
      "pmid": "37100008"
    },
    "references": [
      {
        "id": "mccrory-2023",
        "title": "Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker individual participant data (IPD) meta-analysis",
        "authors": "Cathal McCrory · Sinead McLoughlin · Richard Layte · Cliona NiCheallaigh · Aisling M. O’Halloran · Henrique Barros · Lisa F. Berkman · Murielle Bochud · Eileen M. Crimmins · Meagan T. Farrell · Silvia Fraga · Emily Grundy · Michelle Kelly-Irving · Dusan Petrovic · Teresa Seeman · Silvia Stringhini · Peter Vollenveider · Rose Anne Kenny",
        "journal": "Psychoneuroendocrinology",
        "year": "2023",
        "url": "https://doi.org/10.1016/j.psyneuen.2023.106117",
        "doi": "10.1016/j.psyneuen.2023.106117",
        "pmid": "37100008"
      }
    ],
    "sections": [
      {
        "id": "finding",
        "title": "What the study found",
        "paragraphs": [
          "This multi-cohort analysis narrows the candidate markers for allostatic-load measurement. A five-marker combination—CRP, resting heart rate, HDL cholesterol, waist-to-height ratio and HbA1c—performed similarly to longer combinations for mortality prediction within the study. Peak expiratory flow offered additional information. The contribution is a candidate set for harmonisation."
        ]
      },
      {
        "id": "limits",
        "title": "Scope & limitations",
        "paragraphs": [
          "13 cohorts with 67,126 participants aged 40–111; mortality information was available in 10 cohorts.",
          "Cohorts were selected by data availability. Most health outcomes were cross-sectional, and mortality follow-up varied. Selection against health outcomes does not establish stress specificity or an individual diagnostic threshold. Younger populations, medication effects, sex differences and external calibration require further evaluation."
        ]
      },
      {
        "id": "sample",
        "title": "Population & sample",
        "paragraphs": [
          "13 cohorts with 67,126 participants aged 40–111; mortality information was available in 10 cohorts."
        ]
      },
      {
        "id": "exposure",
        "title": "Exposure or intervention",
        "paragraphs": [
          "Two-stage individual-participant-data meta-analysis comparing 40 biomarkers from 12 systems and combinations of different lengths."
        ]
      },
      {
        "id": "outcomes",
        "title": "Outcomes",
        "paragraphs": [
          "Health and functional measures and mortality; mortality was analysed as a binary outcome rather than a uniform follow-up survival model."
        ]
      },
      {
        "id": "duration",
        "title": "Time frame",
        "paragraphs": [
          "Mortality follow-up varied approximately 2–14 years; other major health outcomes were cross-sectional."
        ]
      },
      {
        "id": "funding",
        "title": "Research funding",
        "paragraphs": [
          "Support included Health Research Board EIA-2017-012, ESRC ES/T014083/1 and ERC Gendhi funding. Cohorts had additional funding, including some commercial support; consult the full acknowledgements."
        ]
      },
      {
        "id": "conflicts",
        "title": "Research conflicts of interest",
        "paragraphs": [
          "The separate interest statement and all cohort-level disclosures have not been fully checked."
        ]
      },
      {
        "id": "basis",
        "title": "Reading scope",
        "paragraphs": [
          "Author-version study populations, statistical analysis, five-marker comparisons and recommendations. Tables S5/S6, external calibration and all cohort supplements remain to be examined."
        ],
        "links": [
          {
            "label": "Full text in PubMed Central",
            "url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC10620736/"
          }
        ]
      }
    ]
  }
}