{
  "abstract": "Background: Poor sleep quality, abdominal obesity, psychological symptoms, and declining physical function may cluster during midlife and later life, posing a multidimensional challenge to healthy aging. We aimed to develop and internally validate a community-oriented nomogram integrating readily obtainable psychological and physical fitness indicators to identify current poor sleep quality in community-dwelling middle-aged and older adults with abdominal obesity and to evaluate its added value over routinely available demographic and health information.\n\nMethods: This retrospective cross-sectional study analyzed data from 212 adults aged ≥45 years with abdominal obesity assessed at a community health service center in Beijing, China. Poor sleep quality was defined as a Pittsburgh Sleep Quality Index (PSQI) score >5. Ten candidate predictors were evaluated using least absolute shrinkage and selection operator logistic regression with repeated stratified 10-fold cross-validation, followed by multivariable logistic regression. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration measures, the Brier score, and decision curve analysis. Separate 1,000-resample bootstrap procedures assessed variable-selection stability and optimism in the performance of the fixed seven-predictor model.\n\nResults: Among the 212 participants, 117 (55.2%) had poor sleep quality. The final model included age, the 9-item Patient Health Questionnaire, the 7-item Generalized Anxiety Disorder scale, grip strength, 30-s chair stand repetitions, chair sit-and-reach distance, and 2-min step count. The apparent AUC was 0.779 [95% confidence interval (CI), 0.718–0.840]. After bootstrap optimism correction, the AUC, calibration slope, and Brier score were 0.751, 0.858, and 0.206, respectively. Compared with the routine-information model (apparent AUC, 0.648), the final model improved the AUC by 0.131 (95% CI, 0.050–0.213; p = 0.002) and showed greater theoretical net benefit across threshold probabilities of 13–80% in the development sample.\n\nConclusion: The nomogram showed moderate internal performance and higher apparent performance than the routine-information model, although content overlap between PHQ-9 and PSQI may have inflated these estimates. Where psychological questionnaires and field-based fitness assessments are already available, it may support targeted sleep assessment in community healthy-aging programs. External validation is required before implementation in public health practice.",
  "abstract_shown": true,
  "affiliations": [
    "School of Sports Medicine and Rehabilitation, Beijing Sport University"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Chuyuan Qiao"
    },
    {
      "affs": [
        0
      ],
      "name": "Shenglei Yang"
    },
    {
      "affs": [
        0
      ],
      "name": "Yan Wang"
    },
    {
      "affs": [
        0
      ],
      "name": "Chuwei Yang"
    },
    {
      "affs": [
        0
      ],
      "name": "Yinghui He"
    },
    {
      "affs": [
        0
      ],
      "name": "Shuyi Zeng"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/c6v0pc6sys9ka.bib",
  "cited_by": 0,
  "doi": "10.3389/fpubh.2026.1964356",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13730819/?tool=EBI",
  "id": "c6v0pc6sys9ka",
  "issns": [
    "2296-2565"
  ],
  "landing_url": "https://www.frontiersin.org/articles/10.3389/fpubh.2026.1964356/full",
  "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",
      "3205|Sleep and related disorders"
    ]
  ],
  "openalex": "W7223140923",
  "pdf_url": "https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2026.1964356/pdf",
  "pmcid": "PMC13730819",
  "pmid": null,
  "published": "2026-10-21",
  "publisher": "Frontiers Media SA",
  "ris": "https://research.draconitic.com/paper/c6v0pc6sys9ka.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:24Z",
      "native_id": "10.3389/fpubh.2026.1964356",
      "source": "crossref",
      "url": "https://www.frontiersin.org/articles/10.3389/fpubh.2026.1964356/full"
    },
    {
      "first_seen": "2026-11-04T15:20:46Z",
      "native_id": "PMC:PMC13730819",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13730819"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "issn:2296-2565",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Community-based identification of poor sleep quality in middle-aged and older adults with abdominal obesity using psychological and physical fitness indicators",
  "title_text": "Community-based identification of poor sleep quality in middle-aged and older adults with abdominal obesity using psychological and physical fitness indicators",
  "type": "peer-reviewed",
  "updated_at": "2026-11-04T15:20:46Z",
  "url": "https://research.draconitic.com/paper/c6v0pc6sys9ka",
  "venue": "Frontiers in Public Health",
  "versions": []
}