{
  "abstract": "Background: North-south differences in context and lifestyle may shape multimorbidity patterns in China. We compared multimorbidity between two northern (Liaoning, Jilin) and two southern (Guangdong, Jiangsu) CNHS provinces in eastern China using association rule mining (ARM) and sequential pattern mining (SPM).\n\nMethods: We analyzed 19,067 adults (≥20 years) and 20 chronic conditions. ARM identified co-occurrence rules and reported support (proportion with the combination), confidence (P(consequent|antecedent)), and lift (observed/expected co-occurrence; >1 indicates positive association). SPM summarized common diagnosis-order sequences using sequence support (percentage of participants exhibiting an ordered sequence). Sensitivity analyses were restricted to self-reported physician diagnoses.\n\nResults: Multimorbidity prevalence was 37.85% (age-standardized 32.84%), higher in northern than southern provinces (41.39% vs 34.08%; standardized 35.41% vs 31.04%). Hypertension, hyperuricemia, and diabetes were most common. Cardiovascular/cerebrovascular conditions were more frequent in the north, whereas anemia and kidney stones were more common in the south. ARM suggested metabolic–renal clustering in the south (eg, CKD→gout, support = 1.18%, confidence = 26.14%, lift = 2.60; gout+anemia→CKD, support = 0.55%, confidence = 38.89%, lift = 3.71) and musculoskeletal–cardiovascular links in the north (eg, osteoarthritis→spinal disease, support = 0.52%, confidence = 24.69%, lift = 2.22; CTRD→CHD, support = 0.63%, confidence = 28.24%, lift = 1.26). Common SPM sequences included hypertension→hyperuricemia (24.22%) and hypertension→diabetes→hyperuricemia (5.32%); hypertension→hyperuricemia→CKD was more frequent in the south (2.28%), while hypertension→CHD→hyperuricemia was more frequent in the north (5.70%). Sensitivity analyses showed broadly consistent regional contrasts.\n\nConclusion: Multimorbidity burden and structure differed between the northern and southern provinces, supporting province-tailored prevention and integrated care.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Epidemiology and Statistics, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China",
    "State Key Laboratory of Common Mechanism Research for Major Diseases, Beijing, China",
    "Sleep Center, Department of Respiratory and Critical Care Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China",
    "Department of Epidemiology and Biostatistics, School of Public Health of Jilin University, Changchun, China",
    "Department of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China",
    "Precision and Intelligence Medical Imaging Lab, Beijing Friendship Hospital, Capital Medical University, Beijing, China",
    "School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 14,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Zhili Chen",
      "orcid": "0009-0002-8818-8329"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Yaoda Hu"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Huijing He"
    },
    {
      "affs": [
        2
      ],
      "name": "Qiong Ou",
      "orcid": "0000-0002-8076-0338"
    },
    {
      "affs": [
        3
      ],
      "name": "Yawen Liu"
    },
    {
      "affs": [
        4
      ],
      "name": "Tan Xu"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Ji Tu"
    },
    {
      "affs": [
        5
      ],
      "name": "Zhiming Lu"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Zichao Wang"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Da Xu"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Qing Wang"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Zhujie Ran"
    },
    {
      "affs": [
        0,
        1
      ],
      "name": "Mengwei Zhang"
    },
    {
      "affs": [
        0,
        1,
        6
      ],
      "name": "Guangliang Shan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2mjgnmhqzh82n.bib",
  "cited_by": 0,
  "doi": "10.2188/jea.je20260009",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13662270/",
  "id": "2mjgnmhqzh82n",
  "issns": [
    "0917-5040",
    "1349-9092"
  ],
  "landing_url": "https://doi.org/10.2188/jea.je20260009",
  "language": "en",
  "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": [
    [
      "heading",
      "Health Disparity"
    ],
    [
      "heading",
      "Original Article"
    ],
    [
      "openalex",
      "2713|Chronic Disease Management Strategies"
    ]
  ],
  "openalex": "W7160134679",
  "pdf_url": "https://www.jstage.jst.go.jp/article/jea/advpub/0/advpub_JE20260009/_pdf",
  "pmcid": "PMC13662270",
  "pmid": "42091488",
  "published": "2026-11-05",
  "publisher": "Japan Epidemiological Association",
  "ris": "https://research.draconitic.com/paper/2mjgnmhqzh82n.ris",
  "sources": [
    {
      "first_seen": "2026-11-07T12:23:32Z",
      "native_id": "PMC13662270",
      "source": "pmc",
      "url": "https://doi.org/10.2188/jea.je20260009"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2713|Chronic Disease Management Strategies",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "North–South Disparities in Multimorbidity Revealed by Association Rule and Sequential Pattern Mining: Evidence From the China National Health Survey (CNHS)",
  "title_text": "North–South Disparities in Multimorbidity Revealed by Association Rule and Sequential Pattern Mining: Evidence From the China National Health Survey (CNHS)",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T12:21:00Z",
  "url": "https://research.draconitic.com/paper/2mjgnmhqzh82n",
  "venue": "Journal of Epidemiology",
  "versions": []
}