{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:27:20Z","timestamp":1787027240835,"version":"build-2736575974"},"reference-count":43,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T00:00:00Z","timestamp":1752105600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to explore the relationship between psychoneurological symptom clusters and inflammatory markers in patients with a first stroke.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study investigated 227 patients with a first stroke using general information questionnaires, Numerical Rating Scale, Pittsburgh Sleep Quality Index, Hospital Anxiety and Depression Scale, Ascertain Dementia 8, Fatigue Severity Scale, and Stroke-Specific Quality of Life. Data analysis included latent profile analysis, one-way analysis of variance, and unordered multicategorical logistic analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The psychoneurological symptom clusters of first-stroke patients were categorized into three latent profiles: the low symptom group (45.2%), moderate symptom group (36.7%), and high symptom group (18.1%). Logistic regression analyses showed that younger age, female, higher National Institute of Health Stroke Scale score, higher interleukin-6 level, and higher hypersensitive C-reactive protein level were major predictive factors for the moderate and high symptom groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Three latent profiles of psychoneurological symptom clusters exist in patients with a first stroke and are associated with markers of inflammation (interleukin-6 and hypersensitive C-reactive protein), thereby affecting their quality of life. These findings extend previous research on psychoneurological symptom clusters in stroke. Further exploration of a broader range of inflammatory markers and psychoneurological symptom clusters is necessary to advance symptom management.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyg.2025.1618513","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T05:30:24Z","timestamp":1752125424000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Psychoneurological symptom clusters in patients with first stroke and relationship with inflammatory markers: a latent profile analysis"],"prefix":"10.3389","volume":"16","author":[{"given":"Yuanyuan","family":"Tang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gudi","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meilan","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanyu","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinji","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,7,10]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.jad.2020.01.170","article-title":"Connectivity of depression symptoms before and after diagnosis of a chronic disease: a network analysis in the U.S. health and retirement study","volume":"266","author":"Airaksinen","year":"2020","journal-title":"J. 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