{
  "abstract": "Background/Objective: The Controlling Nutritional Status (CONUT) score is a laboratory-based tool for identifying nutritional risk. This study examined associations of anthropometric and bioimpedance-derived body composition measures with CONUT and their ability to discriminate CONUT-defined nutritional risk in hospitalized older adults. Methods: This cross-sectional study included 164 hospitalized adults aged >60 years. Anthropometric measurements, derived indices, and bioimpedance-derived body composition parameters were assessed, and CONUT was calculated from routine laboratory data. Results: CONUT-defined nutritional risk was present in 43.3% of participants. Participants with nutritional risk had lower body weight, waist, mid-upper arm and calf circumferences, fat mass, body mass index (BMI), and body adiposity index (BAI) (all p < 0.05). Correlations with the CONUT score were weak; the largest absolute correlations were observed for fat mass in kilograms and fat mass percentage (both ρ = −0.25). In the fully adjusted model, mid-upper arm circumference (OR = 0.900; 95% CI 0.825–0.982), fat mass in kilograms (OR = 0.955; 95% CI 0.921–0.991), and fat mass percentage (OR = 0.928; 95% CI 0.887–0.972) showed nominally significant associations with lower odds of CONUT-defined nutritional risk. After FDR adjustment, only fat mass percentage remained statistically significant (q = 0.024). Discriminatory performance was modest; the highest areas under the curve (AUCs) were 0.655 for fat mass percentage, 0.647 for fat mass in kilograms, and 0.638 for mid-upper arm circumference. Conclusions: Anthropometric and body composition measures showed limited ability to discriminate CONUT-defined nutritional risk and should not be considered substitutes for CONUT. Among the evaluated measures, fat mass percentage showed the most robust association with CONUT-defined nutritional risk. More complex derived indices did not provide additional discriminatory value.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Cardiovascular Disease Prevention, Department of Metabolic Disease Prevention, Faculty of Public Health in Bytom, Medical University of Silesia, 41-902 Bytom, Poland",
    "Department of Nutrition-Related Disease Prevention, Department of Metabolic Disease Prevention, Faculty of Public Health in Bytom, Medical University of Silesia, 41-902 Bytom, Poland",
    "Department of Biostatistics, Faculty of Public Health in Bytom, Medical University of Silesia, 41-902 Bytom, Poland",
    "Department of Psychiatry, Department of Neurology, Faculty of Health Sciences in Katowice, Medical University of Silesia in Katowice, 40-635 Katowice, Poland",
    "Department of Endocrinology, District Hospital, 41-940 Piekary Slaskie, Poland"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Justyna Nowak"
    },
    {
      "affs": [
        1
      ],
      "name": "Marzena Jabczyk",
      "orcid": "0000-0002-7767-6207"
    },
    {
      "affs": [
        2
      ],
      "name": "Michał Skrzypek",
      "orcid": "0000-0003-3410-7407"
    },
    {
      "affs": [
        3
      ],
      "name": "Michał Górski"
    },
    {
      "affs": [
        1,
        4
      ],
      "name": "Barbara Zubelewicz-Szkodzińska",
      "orcid": "0000-0002-8670-8581"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/79mp5ksme8jkp.bib",
  "cited_by": 0,
  "doi": "10.3390/nu18203316",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13708687/?tool=EBI",
  "id": "79mp5ksme8jkp",
  "issns": [
    "2072-6643"
  ],
  "landing_url": "https://www.mdpi.com/2072-6643/18/20/3316",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2737|Nutrition and Health in Aging"
    ]
  ],
  "openalex": "W7221163486",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13708687/pdf/?tool=EBI",
  "pmcid": "PMC13708687",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/79mp5ksme8jkp.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:56Z",
      "native_id": "10.3390/nu18203316",
      "source": "crossref",
      "url": "https://www.mdpi.com/2072-6643/18/20/3316"
    },
    {
      "first_seen": "2026-10-30T12:21:31Z",
      "native_id": "PMC:PMC13708687",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13708687"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2737|Nutrition and Health in Aging",
      "subfield": "physiology"
    }
  ],
  "title": "Discriminative Performance of Anthropometric and Body Composition Measures for Identifying CONUT-Defined Nutritional Risk in Hospitalized Older Adults: A Cross-Sectional Study",
  "title_text": "Discriminative Performance of Anthropometric and Body Composition Measures for Identifying CONUT-Defined Nutritional Risk in Hospitalized Older Adults: A Cross-Sectional Study",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:21:31Z",
  "url": "https://research.draconitic.com/paper/79mp5ksme8jkp",
  "venue": "Nutrients",
  "versions": []
}