{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T23:38:11Z","timestamp":1793144291464,"version":"4.5.0"},"reference-count":56,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:00:00Z","timestamp":1751846400000},"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. Neurol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Multiple Sclerosis (MS) is a chronic, progressive, immune-mediated disease of the central nervous system. Fatigue is a common and disabling symptom in patients with MS (PwMS). Some psychological factors, such as depression, stress, and anxiety, also appear to be related to these issues.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The study aimed to investigate the fatigue conditions of PwMS in China and its influencing factors, as well as to explore the correlation between fatigue with anxiety and depression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study was a cross-sectional study conducted through the Internet, which collected demographic characteristics, clinical data, Modified Fatigue Impact Scale (MFIS), Beck Anxiety Inventory (BAI), and Beck Depression Inventory-II (BDI-II).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 366 PwMS were included in this study. MFIS showed a median fatigue total score of 40.0 (interquartile range [IQR] 26.0\u201352.0), with 55.7% (\n                      <jats:italic>n<\/jats:italic>\n                      = 204) of patients experiencing fatigue. The scores on MFIS were positively correlated with age, disease duration, BAI score, and BDI-II score.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The prevalence of fatigue among Chinese PwMS is 55.7%. Age, education, employment, marital status, type of disease, and disease duration are all factors influencing the fatigue rate in PwMS. Fatigue in PwMS exhibit strong positive correlations with depression and anxiety.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneur.2025.1604540","type":"journal-article","created":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:10:51Z","timestamp":1751847051000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Fatigue and its correlation with anxiety and depression in patients with multiple sclerosis in China"],"prefix":"10.3389","volume":"16","author":[{"given":"Han","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongrong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runze","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaopan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoxun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiongfei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2025,7,7]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1159\/000360528","article-title":"Multiple sclerosis: current knowledge and future outlook","volume":"72","author":"Kamm","year":"2014","journal-title":"Eur Neurol."},{"key":"B2","doi-asserted-by":"publisher","first-page":"1816","DOI":"10.1177\/1352458520970841","article-title":"Rising prevalence of multiple sclerosis worldwide: insights from the Atlas of MS, third edition","volume":"26","author":"Walton","year":"2020","journal-title":"Mult Scler."},{"key":"B3","doi-asserted-by":"publisher","first-page":"1336","DOI":"10.1016\/S0140-6736(16)30959-X","article-title":"Diagnosis of multiple sclerosis: progress and challenges","volume":"389","author":"Brownlee","year":"2017","journal-title":"Lancet."},{"key":"B4","doi-asserted-by":"publisher","first-page":"1006","DOI":"10.3390\/jpm11101006","article-title":"What can we learn from sex differences in MS?","volume":"11","author":"Coyle","year":"2021","journal-title":"J. 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