{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T23:39:28Z","timestamp":1787614768108,"version":"build-2736575974"},"reference-count":57,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T00:00:00Z","timestamp":1782259200000},"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. Nutr."],"abstract":"<jats:p>Patients with liver cancer frequently experience a heightened risk of malnutrition and a substantial symptom burden attributable to antitumor treatment. Food and nutrition literacy and diet self-efficacy represent critical psychobehavioral competencies that underpin dietary decision-making and the sustained adoption of healthy eating practices in this population. Nevertheless, few studies have delineated the latent profile typologies of these two constructs or their associated factors, and preliminary gender-stratified explorations remain conspicuously absent. To address these gaps, the present study employed a cross-sectional survey design, recruiting a convenience sample of 456 patients with liver cancer from three tertiary-level hospitals between April and October 2025. Data were collected using the Food and Nutrition Literacy Questionnaire, the Diet Self-Efficacy Scale, the Cancer Fatigue Scale, and the Social Support Scale. Results indicated that the optimal model for the full sample yielded a two-profile solution: a \u201cLow Food and Nutrition Literacy\u2013Low Diet Self-Efficacy\u201d profile (47.37%) and a \u201cHigh Food and Nutrition Literacy\u2013High Diet Self-Efficacy\u201d profile (52.63%). As an exploratory supplementary analysis, gender-stratified latent profile analyses were conducted; however, the substantial reduction in subgroup sample sizes following stratification by sex precluded the identification of statistically robust optimal profile solutions for either male or female subsamples. Binary logistic regression revealed that cancer-related fatigue constituted an independent risk factor for membership in the low-level profile, whereas social support served as an independent protective factor. Educational attainment, place of residence, and monthly personal income also exhibited partially significant predictive effects. Accordingly, clinical nutrition interventions should prioritize fatigue management and the reinforcement of social support, and stratified, precision-targeted interventions should be implemented on the basis of patients\u2019 nutritional behavioral competency profiles.<\/jats:p>","DOI":"10.3389\/fnut.2026.1839963","type":"journal-article","created":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T04:50:36Z","timestamp":1782276636000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Food and nutrition literacy and diet self-efficacy among patients with liver cancer: latent profile analysis, associated factors, and an exploratory examination of gender differences"],"prefix":"10.3389","volume":"13","author":[{"given":"Ziang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Endocrinology, First Hospital of Shanxi Medical University, Shanxi Medical University","place":["Taiyuan, China"]},{"name":"Department of Pharmacology, Shanxi Medical University","place":["Taiyuan, Shanxi, China"]},{"name":"Biliary and Pancreatic Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital","place":["Taiyuan, Shanxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyu","family":"She","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging Function, Xi'an Electric Power Central Hospital","place":["Xi'an, Shaanxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaojian","family":"Mo","sequence":"additional","affiliation":[{"name":"Biliary and Pancreatic Surgery Department, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital","place":["Taiyuan, Shanxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanni","family":"Wei","sequence":"additional","affiliation":[{"name":"Guangzhou Medical University","place":["Guangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuting","family":"Guo","sequence":"additional","affiliation":[{"name":"Shanxi Province Cancer Hospital\/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences\/Cancer Hospital Affiliated to Shanxi Medical University","place":["Taiyuan, Shanxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunfeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, First Hospital of Shanxi Medical University, Shanxi Medical University","place":["Taiyuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Endocrinology, First Hospital of Shanxi Medical University, Shanxi Medical University","place":["Taiyuan, China"]},{"name":"Department of Pharmacology, Shanxi Medical University","place":["Taiyuan, Shanxi, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,24]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1598","DOI":"10.1016\/j.jhep.2022.08.021","article-title":"Global burden of primary liver cancer in 2020 and predictions to 2040","volume":"77","author":"Rumgay","year":"2022","journal-title":"J Hepatol"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"355","DOI":"10.3350\/cmh.2023.0070","article-title":"The latest global burden of liver cancer: a past and present threat","volume":"29","author":"Oh","year":"2023","journal-title":"Clin Mol Hepatol"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"353","DOI":"10.2147\/JHC.S495059","article-title":"Machine learning prognostic model for post-radical resection 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