biostudies-literatureUnknown14Bao Y<h4>Objective</h4>This study aimed to identify distinct patterns of chronic disease resource utilization among patients with chronic obstructive pulmonary disease (COPD) and to examine their association with illness uncertainty.<h4>Design</h4>A cross-sectional study.<h4>Methods</h4>This study enrolled COPD patients hospitalized in the Department of Respiratory Medicine at a tertiary hospital in Zhejiang Province, China, between April and December 2023. All participants completed a general information form, the Chronic Illness Resource Survey (CIRS), and the Mishel Uncertainty in Illness Scale (MUIS). Latent profile analysis (LPA) was conducted to identify subgroups of resource utilization patterns. Subsequently, hierarchical linear regression was employed to assess the associations betweenPeerJe20674https://www.ebi.ac.uk/biostudies/studies/S-EPMC12854130biostudies-literatureThe association between chronic disease resource utilization and illness uncertainty in COPD patients: a latent profile analysis.PMC12854130Zhao JYYang LBao YFu LLin JFang MWang ZfalseThe association between chronic disease resource utilization and illness uncertainty in COPD patients: a latent profile analysis.<h4>Objective</h4>This study aimed to identify distinct patterns of chronic disease resource utilization among patients with chronic obstructive pulmonary disease (COPD) and to examine their association with illness uncertainty.<h4>Design</h4>A cross-sectional study.<h4>Methods</h4>This study enrolled COPD patients hospitalized in the Department of Respiratory Medicine at a tertiary hospital in Zhejiang Province, China, between April and December 2023. All participants completed a general information form, the Chronic Illness Resource Survey (CIRS), and the Mishel Uncertainty in Illness Scale (MUIS). Latent profile analysis (LPA) was conducted to identify subgroups of resource utilization patterns. Subsequently, hierarchical linear regression was employed to assess the associations between2026-01-01T00:00:00Z20262026-06-18T05:49:21.918Z2026-06-18T03:07:38.977ZS-EPMC128541304162338310.7717/peerj.20674