{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T05:11:10Z","timestamp":1777957870758,"version":"3.51.4"},"reference-count":51,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T00:00:00Z","timestamp":1777939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008867","name":"Department of Education of Zhejiang Province","doi-asserted-by":"publisher","award":["Y202454166"],"award-info":[{"award-number":["Y202454166"]}],"id":[{"id":"10.13039\/501100008867","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychiatry"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Cancer patients often face concurrent challenges of cancer-related cognitive impairment (CRCI) and opportunities for post-traumatic growth (PTG), but existing research primarily adopts a variable-centered approach, failing to capture the heterogeneous co-occurrence patterns of CRCI and PTG or identify key predictors of these patterns. This study aimed to explore latent profiles of psychological adaptation and their predictive factors among cancer patients, thereby responding to the practical need for refined understanding of heterogeneous adaptation patterns and providing a reference for stratified clinical interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional study was conducted between August and December 2024, recruiting 249 cancer patients from two tertiary hospitals in Zhejiang, China. Data were collected using sociodemographic and disease information, the Functional Assessment of Cancer Therapy-Cognition (FACT-Cog), the Post-Traumatic Growth Inventory (PTGI), and the Chinese Big Five Personality Inventory Brief Version (CBF-PI-B). Latent profile analysis was employed to classify patients based on standardized FACT-Cog and PTGI scores, with binary logistic regression used to identify predictors of profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Based on model fit indices from latent profile analysis, a two-profile solution was identified as optimal. This included the \u201ccognitively stable but growth-constricted\u201d profile (73.1%), characterized by better self-reported cognitive function but limited post-traumatic growth, and the \u201cpost-traumatic growth but cognitively vulnerable\u201d profile (26.9%), featuring significant psychological growth alongside prominent perceived cognitive impairment. Binary logistic regression analysis revealed that personality traits (neuroticism, extraversion, conscientiousness, agreeableness, openness), treatment-related factors (radiotherapy, endocrine therapy), and educational level served as significant factors influencing profile membership.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Heterogeneity exists in psychological adaptation patterns integrating CRCI and PTG among cancer patients, manifesting as two distinct profiles. Patients with lower neuroticism, higher levels of extraversion, conscientiousness, agreeableness, and openness, or those undergoing radiotherapy are more likely to belong to the \u201cpost-traumatic growth but cognitively vulnerable\u201d profile; high educational level and endocrine therapy also show marginal positive associations with this profile. These findings support the development of tailored interventions that address these specific psychological adaptation patterns to optimize psychological care and enhance patients\u2019 quality of life and overall well-being.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyt.2026.1749502","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T04:17:04Z","timestamp":1777954624000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Patterns and predictors of cognitive function and post-traumatic growth in cancer patients: a latent profile analysis"],"prefix":"10.3389","volume":"17","author":[{"given":"Libing","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Medicine, Huzhou University","place":["Huzhou, Zhejiang, 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