{
  "abstract": "BackgroundCardio-kidney-metabolic (CKM) diseases share risk factors, but their shared and distinct risk factors for disease progression remain unclear. We examined whether classical risk factors predict baseline CKM indicators and their longitudinal changes in a population-based German National Cohort (NAKO) sample.\n\nMethodsIn 2,650 NAKO-IMMEDIATE participants selected for deep-phenotyping, baseline values and 5-year changes in -- glycated hemoglobin (HbA1c), systolic blood pressure (SBP), pulse wave velocity (PWV), and estimated glomerular filtration rate (eGFR) were linearly regressed on age, sex, education, alcohol and tobacco consumption, body mass index (BMI), and residuals of BMI-adjusted waist circumference (WC) with mutual adjustment.\n\nResultsBaseline values for HbA1c were 34.6{+/-}5.8 mmol/mol, for PWV 8.3{+/-}1.5 m/s, for SBP 128.0{+/-}15.7 mmHg and for eGFR 96.0{+/-}14.6 ml/min/1.73 m{superscript 2}. Cross-sectionally, all risk factors were associated with one or more of the CKM indicators, with age and BMI being associated with all four indicators. Over 5 years, HbA1c (1.2{+/-}4.2 mmol/mol), PWV (0.5{+/-}1.2 m/s) and SBP (0.6{+/-} 14.2 mmHg) increased, whereas eGFR (-2.3{+/-}9.5 ml/min/1.73 m{superscript 2}) decreased. Age (0.03 m/s per 5 year, 95% CI 0.01, 0.06 m/s) was associated with higher and BMI (-0.02 m/s per 1kg/m2, -0.03, -0.01) with lower PWV changes. No other risk factors were associated with CKM indicator changes.\n\nConclusionClassical risk factors were more frequently related to baseline CKM indicators than to their 5-year changes. Within longitudinal analyses, only age and BMI were related to PWV 5-year changes.\n\nClinical PerspectiveO_LIIt is well established that classical risk factors are associated with cardio-kidney and metabolic (CKM) diseases whereas their associations with longitudinal changes in CKM indicators are less well understood. C_LIO_LIThis study examines to what extent age, sex, education, alcohol and tobacco consumption, BMI and waist circumference are associated with glycated hemoglobin, systolic blood pressure, pulse wave velocity and estimated glomerular filtration rate at baseline and their 5-year changes. C_LIO_LIOnly age and BMI were associated with changes in PWV, while other longitudinal associations were non-significant, suggesting that classical CKM risk factors have greater utility for assessing cross-sectional CKM function than for predicting prospective changes in CKM function in the general population. C_LI",
  "abstract_shown": true,
  "affiliations": [
    "Max-Delbruck-Centrum fur Molekulare Medizin in der Helmholtz-Gemeinschaft"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 19,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "S. Gonzalez Chiappe"
    },
    {
      "name": "K. Nimptsch"
    },
    {
      "name": "I. Moreno Velasquez"
    },
    {
      "name": "M. Bouka"
    },
    {
      "name": "H. Becher"
    },
    {
      "name": "M. Dörr"
    },
    {
      "name": "M. Leitzmann"
    },
    {
      "name": "H. Volzke"
    },
    {
      "name": "S. Schipf"
    },
    {
      "name": "S. N. Willich"
    },
    {
      "name": "T. Keil"
    },
    {
      "name": "P. Sekula"
    },
    {
      "name": "K. H. Greiser"
    },
    {
      "name": "J. Tanoey"
    },
    {
      "name": "C. Frick"
    },
    {
      "name": "A. Peters"
    },
    {
      "name": "J. Six-Merker"
    },
    {
      "name": "G. Maskarinec"
    },
    {
      "name": "T. Pischon"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/026n25nnwq47p.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.01.26364547",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.10.01.26364547v1.full",
  "id": "026n25nnwq47p",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.10.01.26364547v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "epidemiology"
    ],
    [
      "openalex",
      "2712|Diabetes, Cardiovascular Risks, and Lipoproteins"
    ]
  ],
  "openalex": "W7220447811",
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.10.01.26364547v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/026n25nnwq47p.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:06Z",
      "native_id": "10.64898/2026.10.01.26364547",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.10.01.26364547v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:epidemiology",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Factors associated with the transition from health to disease for type 2 diabetes, cardiovascular disease and kidney dysfunction: A NAKO-IMMEDIATE analysis",
  "title_text": "Factors associated with the transition from health to disease for type 2 diabetes, cardiovascular disease and kidney dysfunction: A NAKO-IMMEDIATE analysis",
  "type": "preprint",
  "updated_at": "2026-10-30T12:20:06Z",
  "url": "https://research.draconitic.com/paper/026n25nnwq47p",
  "venue": "medRxiv",
  "versions": []
}