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Network analysis is a novel approach to explore interactions of mental disorders at the symptom level. The aim of this study was to elucidate characteristics of depressive and anxiety symptoms network in college students in the late stage of the COVID-19 outbreak. A total of 3062 college students were included. The seven-item Generalized Anxiety Disorder Scale (GAD-7) and nine-item Patient Health Questionnaire (PHQ-9) were used to measure anxiety and depressive symptoms, respectively. Central symptoms and bridge symptoms were identified based on centrality and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure. The strongest direct relation was between anxiety symptoms \u201cNervousness\u201d and \u201cUncontrollable worry\u201d. \u201cFatigue\u201d has the highest node strength in the anxiety and depression network, followed by \u201cExcessive worry\u201d, \u201cTrouble relaxing\u201d, and \u201cUncontrollable worry\u201d. \u201cMotor\u201d showed the highest bridge strength, followed by \u201cFeeling afraid\u201d and \u201cRestlessness\u201d. The whole network was robust in both stability and accuracy tests. Central symptoms \u201cFatigue\u201d, \u201cExcessive worry\u201d, \u201cTrouble relaxing\u201d and \u201cUncontrollable worry\u201d, and critical bridge symptoms \u201cMotor\u201d, \u201cFeeling afraid\u201d and \u201cRestlessness\u201d were highlighted in this study. Targeting interventions to these symptoms may be important to effectively alleviate the overall level of anxiety and depressive symptoms in college students.<\/jats:p>","DOI":"10.1038\/s41398-021-01738-4","type":"journal-article","created":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T11:14:56Z","timestamp":1639739696000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":85,"title":["Anxiety and depressive symptoms in college students during the late stage of the COVID-19 outbreak: a network approach"],"prefix":"10.1038","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9579-9959","authenticated-orcid":false,"given":"Wei","family":"Bai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shou","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sha","family":"Sha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Teris","family":"Cheung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8189-8216","authenticated-orcid":false,"given":"Jessie Jingxia","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiling","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chee H.","family":"Ng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2906-0029","authenticated-orcid":false,"given":"Yu-Tao","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,12,17]]},"reference":[{"key":"1738_CR1","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/j.chieco.2016.04.001","volume":"51","author":"X Qin","year":"2018","unstructured":"Qin X, Wang S, Hsieh C-R. 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