{
  "abstract": "Purpose This paper examined the impacts of artificial intelligence (AI)-assisted health management on blood pressure control and self-management effectiveness in older adults with hypertension.Materials and Methods Two hundred hypertensive patients were randomly assigned to a usual care group (routine health management) or an intervention group (AI-assisted health management, including aspects such as intelligent monitoring, early warning and proactive intervention, among others) (n = 100 each). Primary outcomes included blood pressure control rate (<140/<90 mm Hg) and systolic and diastolic blood pressure (SBP and DBP). Secondary outcomes included improvement in lifestyle behaviors, level of hypertension knowledge awareness, self-management efficacy, medication beliefs, quality of life, and management satisfaction.Results Following one year intervention, the intervention group demonstrated a higher blood pressure control rate than the usual care group (88.66% vs. 64.89%), along with lower SBP (128.49 ± 6.63 vs. 135.38 ± 7.31 mmHg) and DBP (77.49 ± 6.07 vs. 81.84 ± 5.44 mmHg) (all P < 0.05). Additionally, the intervention group showed superior improvements in smoking behavior change, alcohol consumption behavior change, low-salt and low-fat diet adherence, and regular exercise attainment, as well as higher scores on the Hypertension Knowledge-Level Scale, Hypertension Patient Self-Management Behavior Rating Scale, Modified Beliefs about Medicines Questionnaire, physical component summary and the mental component summary, and Client Satisfaction Questionnaire-8 (all P < 0.05).Conclusion AI-assisted health management enhances blood pressure control, and improves self-management capacity, quality of life, and service satisfaction in older adults with hypertension.",
  "abstract_shown": true,
  "affiliations": [
    "Health Management Center, The First People’s Hospital of Yunnan Province, Kunming 650032, Yunnan, China",
    "Department of Pain, The First People’s Hospital of Yunnan Province, Kunming 650032, Yunnan, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Xiaorui Yang"
    },
    {
      "affs": [
        0
      ],
      "name": "Xinyue Huang"
    },
    {
      "affs": [
        1
      ],
      "name": "Yue Cui"
    },
    {
      "affs": [
        0
      ],
      "name": "Ke Zhao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/4wjd4ds4dhe3w.bib",
  "cited_by": 0,
  "doi": "10.1080/08037051.2026.2715847",
  "fulltext_url": "https://www.tandfonline.com/doi/10.1080/08037051.2026.2715847",
  "id": "4wjd4ds4dhe3w",
  "issns": [
    "1651-1999",
    "0803-7051"
  ],
  "landing_url": "https://doi.org/10.1080/08037051.2026.2715847",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
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      "lcc",
      "RC666-701"
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      "openalex",
      "2705|Blood Pressure and Hypertension Studies"
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  "pdf_url": "https://www.tandfonline.com/doi/pdf/10.1080/08037051.2026.2715847?needAccess=true",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-01",
  "publisher": "Taylor & Francis Group",
  "ris": "https://research.draconitic.com/paper/4wjd4ds4dhe3w.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T14:22:07Z",
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      "url": "https://doi.org/10.1080/08037051.2026.2715847"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2705|Blood Pressure and Hypertension Studies",
      "subfield": "cardiovascular"
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  "title": "Impact of artificial intelligence-assisted health management on blood pressure and self-management efficacy in older adults with hypertension",
  "title_text": "Impact of artificial intelligence-assisted health management on blood pressure and self-management efficacy in older adults with hypertension",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T14:22:07Z",
  "url": "https://research.draconitic.com/paper/4wjd4ds4dhe3w",
  "venue": "Blood Pressure",
  "versions": []
}