{
  "schemaVersion": 1,
  "capturedAt": "2026-10-27T11:18:42.872Z",
  "sha256": "4e5f02a2f059cd0b426397a5fba5729f6ffb7f8df009298329b698c74b2cb365",
  "work": {
    "type": "RDN",
    "kind": "note",
    "key": "beese-2025",
    "id": "TAP-RDN-0035",
    "locale": "en",
    "path": "/research/beese-2025/",
    "title": "TAP reading note: Allostatic (over)Load Measurement: Workflow and repository",
    "description": "A workflow and repository make the construction of a five-marker allostatic-load index inspectable across secondary datasets. The preprint describes the workflow; TAP separately tested sensitivity to reference populations and scoring rules in NHANES 2015–2016.",
    "rights": "© The Allostasis Project. All rights reserved. Reproduction or adaptation requires separate permission, subject to applicable legal exceptions.",
    "version": "1.1",
    "updatedAt": "2026-10-27",
    "editorial": {
      "contentType": "evidence-review",
      "reviewState": "draft",
      "reviewedAt": null,
      "reviewedVersion": null,
      "updatedAt": "2026-10-27",
      "version": "1.1",
      "byline": "team",
      "author": null,
      "reviewer": null,
      "workflow": {
        "ai": {
          "usage": "used",
          "system": "TAP Research Agent / OpenAI Codex",
          "scope": "Bilingual editorial revision and consolidation of scope statements based on the published text.",
          "version": "1.1",
          "tasks": [
            "Bilingual editing",
            "Scope and citation-position comparison"
          ]
        }
      },
      "revisions": [
        {
          "date": "2026-10-27",
          "version": "1.1",
          "description": "Reframed scope in terms of study design, population, outcomes and observation window."
        }
      ]
    },
    "original": {
      "id": "beese-2025",
      "title": "Allostatic (over)Load Measurement: Workflow and repository",
      "authors": "Shawna Beese · J. Cross · D. Rice · T. L. DeJong",
      "journal": "medRxiv (preprint)",
      "year": "2025",
      "url": "https://doi.org/10.1101/2025.07.31.25332519",
      "doi": "10.1101/2025.07.31.25332519"
    },
    "references": [
      {
        "id": "beese-2025",
        "title": "Allostatic (over)Load Measurement: Workflow and repository",
        "authors": "Shawna Beese · J. Cross · D. Rice · T. L. DeJong",
        "journal": "medRxiv (preprint)",
        "year": "2025",
        "url": "https://doi.org/10.1101/2025.07.31.25332519",
        "doi": "10.1101/2025.07.31.25332519"
      }
    ],
    "sections": [
      {
        "id": "finding",
        "title": "What the study found",
        "paragraphs": [
          "A workflow and repository make the construction of a five-marker allostatic-load index inspectable across secondary datasets. The preprint describes the workflow; TAP separately tested sensitivity to reference populations and scoring rules in NHANES 2015–2016."
        ]
      },
      {
        "id": "limits",
        "title": "Scope & limitations",
        "paragraphs": [
          "Secondary-data workflow covering All of Us, HRS and NHANES; these are separate source populations, not one pooled validation cohort.",
          "This methodological preprint focuses on constructing indices and analysis workflows from secondary data. Individual thresholds, responsiveness and predictive performance require dedicated validation. Reuse should identify both the paper and repository version because the code continues to change."
        ]
      },
      {
        "id": "sample",
        "title": "Population & sample",
        "paragraphs": [
          "The source workflow covers three data resources. TAP’s accompanying methods case evaluates 3,152 complete-panel adults aged 40+ in NHANES 2015–2016; this is TAP’s sample, not the sample size of the source paper."
        ]
      },
      {
        "id": "exposure",
        "title": "Exposure or intervention",
        "paragraphs": [
          "Five markers: CRP, HbA1c, HDL cholesterol, heart rate or survey pulse, and waist-to-height ratio. Implementation includes data assembly, threshold selection and summing risk flags."
        ]
      },
      {
        "id": "outcomes",
        "title": "Outcomes",
        "paragraphs": [
          "A calculated allostatic-load index. The workflow’s reproducibility is distinct from validation against disease, mortality or within-person recovery outcomes."
        ]
      },
      {
        "id": "duration",
        "title": "Time frame",
        "paragraphs": [
          "Preprint version 1: 1 August 2025. Code inspected: commit 2bbb624dd01cec5c54b778d3cd2df4ada582c989 (2026 update). TAP’s own analysis uses one NHANES cycle, 2015–2016."
        ]
      },
      {
        "id": "funding",
        "title": "Research funding",
        "paragraphs": [
          "Source-paper funding was not independently extracted for this reading note; consult the original preprint’s statement."
        ]
      },
      {
        "id": "conflicts",
        "title": "Research conflicts of interest",
        "paragraphs": [
          "Source-author conflicts were not independently audited by TAP. Citation does not indicate endorsement of TAP or Resilio."
        ]
      },
      {
        "id": "basis",
        "title": "Reading scope",
        "paragraphs": [
          "Preprint abstract and previously inspected workflow text; fixed repository source; source metadata reconfirmed through medRxiv on 20 September 2026 (no journal publication link returned). TAP independently reconstructed the NHANES cycle logic and executed native R checks; it did not run the complete source notebooks or reproduce All of Us/HRS. See the linked TAP methods case for new results."
        ]
      }
    ]
  }
}