{"title":"Latent classes and symptom network analysis of kinesiophobia in older adult patients with chronic obstructive pulmonary disease.","authors":"Mengyao Liang, Congying Kang, Li Feng, Jiajia Hua","doi":"10.3389/fmed.2026.1919256","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To identify the latent classes of kinesiophobia in older adult patients with chronic obstructive pulmonary disease (COPD), analyze the symptom network structure of different classes, determine the core symptoms, and provide evidence for precision pulmonary rehabilitation interventions.</p><p><strong>Methods: </strong>A convenience sample of 546 older adult COPD patients was recruited from the Department of Respiratory and Critical Care Medicine, Nantong Sixth People's Hospital, between March 2025 and April 2026. Participants completed a general information questionnaire, the Breathlessness Beliefs Questionnaire (BBQ), and a COPD symptom survey. Latent profile analysis was used to identify potential classes of kinesiophobia. Symptom networks for each subgroup were constructed using R software, and three centrality indices (strength, closeness, and betweenness) were calculated to determine core symptoms.</p><p><strong>Results: </strong>The prevalence of kinesiophobia in older adult patients with COPD was 88.46%. Latent profile analysis identified two classes: a high-fear-somatic focus group (67.4%) and a lower-fear-activity avoidance group (32.6%). Symptom network analysis revealed that the core symptom was dyspnea (strength = 1.78) in the high-fear group, whereas fatigue (strength = 1.64) was the core symptom in the lower-fear group. The difference in network structure between the two groups was not statistically significant (<i>P</i> > 0.05).</p><p><strong>Conclusion: </strong>Kinesiophobia in older adult patients with COPD exhibits population heterogeneity, with different core symptoms across subgroups. The findings of this study suggest that dyspnea deserves particular attention in the high-fear group, while fatigue deserves particular attention in the lower-fear group. Future longitudinal or interventional studies are needed to further verify the causal relationships between core symptoms and pulmonary rehabilitation participation, thereby informing the development of individualized pulmonary rehabilitation strategies.</p>","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"13 ","pages":"1919256"},"PeriodicalIF":3.6000,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13677879/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2026.1919256","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: To identify the latent classes of kinesiophobia in older adult patients with chronic obstructive pulmonary disease (COPD), analyze the symptom network structure of different classes, determine the core symptoms, and provide evidence for precision pulmonary rehabilitation interventions.
Methods: A convenience sample of 546 older adult COPD patients was recruited from the Department of Respiratory and Critical Care Medicine, Nantong Sixth People's Hospital, between March 2025 and April 2026. Participants completed a general information questionnaire, the Breathlessness Beliefs Questionnaire (BBQ), and a COPD symptom survey. Latent profile analysis was used to identify potential classes of kinesiophobia. Symptom networks for each subgroup were constructed using R software, and three centrality indices (strength, closeness, and betweenness) were calculated to determine core symptoms.
Results: The prevalence of kinesiophobia in older adult patients with COPD was 88.46%. Latent profile analysis identified two classes: a high-fear-somatic focus group (67.4%) and a lower-fear-activity avoidance group (32.6%). Symptom network analysis revealed that the core symptom was dyspnea (strength = 1.78) in the high-fear group, whereas fatigue (strength = 1.64) was the core symptom in the lower-fear group. The difference in network structure between the two groups was not statistically significant (P > 0.05).
Conclusion: Kinesiophobia in older adult patients with COPD exhibits population heterogeneity, with different core symptoms across subgroups. The findings of this study suggest that dyspnea deserves particular attention in the high-fear group, while fatigue deserves particular attention in the lower-fear group. Future longitudinal or interventional studies are needed to further verify the causal relationships between core symptoms and pulmonary rehabilitation participation, thereby informing the development of individualized pulmonary rehabilitation strategies.
期刊介绍:
Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate
- the use of patient-reported outcomes under real world conditions
- the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines
- the scientific bases for guidelines and decisions from regulatory authorities
- access to medicinal products and medical devices worldwide
- addressing the grand health challenges around the world