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This study uses longitudinal data to explore the dynamic structure of the cooccurrence of depressive and anxiety symptoms among flood victims in Henan in 2021. Data were collected at 3\u2010month intervals from July 20, 2021, to January 30, 2022, and the final sample included 279 disaster victims reporting on items measuring anxiety and depression. We employ the generalized vector autoregressive model approach to estimate network models. The contemporaneous network results show that, within the same measurement occasion, all connections between anxiety and depressive symptoms are positive, with the strongest connection observed between \u201cSleep\u201d and \u201cAppetite\u201d. And \u201cNervous\u201d is the most central symptom, while \u201cIrritable\u201d and \u201cMotor\u201d are the top two strongest bridge symptoms. The temporal network results indicate that depressive symptoms are more temporally causal and predictive, while the temporal associations between anxiety symptoms are rare. And depressive symptoms were found to predict anxiety symptoms. Additionally, \u201cSuicide\u201d and \u201cConcentration\u201d showed significant positive autocorrelations, indicating a self\u2010sustaining capacity. \u201cAnhedonia\u201d has the highest in\u2010strength centrality (incoming influence from prior time point), demonstrating the most downstream effect. In contrast, \u201cConcentration\u201d has an out\u2010strength centrality (outgoing influence to the next time point) far exceeding that of other symptoms, suggesting it has the most outward influence. These patterns suggest testable, symptom\u2010focused priorities for post\u2010disaster care: early attention\u2010focused strategies to curb downstream spread from concentration problems; behavioral activation for anhedonia; proactive safety planning and scheduled follow\u2010ups for suicidal ideation; brief transdiagnostic modules targeting irritability and motor activation to reduce comorbidity; and integrated routines addressing the sleep\u2013appetite dyad. Implications are observational and intended to inform hypothesis\u2010driven trials and service planning.<\/jats:p>","DOI":"10.1002\/jclp.70062","type":"journal-article","created":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T18:15:40Z","timestamp":1762280140000},"page":"400-413","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Understanding the Co\u2010occurrence of Depressive and Anxiety Symptoms Among 2021 Henan Flood Victims Through Panel Network Analysis: A 6\u2010Month, Three\u2010Wave Longitudinal Study"],"prefix":"10.1002","volume":"82","author":[{"given":"Zhenfeng","family":"Zhou","sequence":"first","affiliation":[{"name":"Computational Communication Collaboratory, School of Journalism and Communication Nanjing University Nanjing Jiangsu Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7983-4136","authenticated-orcid":false,"given":"Zhihao","family":"Ma","sequence":"additional","affiliation":[{"name":"Computational Communication Collaboratory, School of Journalism and Communication Nanjing University Nanjing Jiangsu Province China"},{"name":"Provincial Key Laboratory of Intelligent Communication and Digital Society Governance Shenzhen University Shenzhen Guangdong Province China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,11,4]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/1536867X1601600314"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0033291716002300"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0033291716001550"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.janxdis.2018.07.004"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btac657"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/wps.20375"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-clinpsy-050212-185608"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/s43586-021-00055-w"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-022-01838-9"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1037\/0021-843X.100.3.316"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1176\/appi.psy.41.5.418"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0376-8716(02)00217-X"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/0895-4356(90)90060-3"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X09991567"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0034733"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12144-023-05308-3"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12916-021-02179-y"},{"key":"e_1_2_10_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/15295192.2016.1134991"},{"key":"e_1_2_10_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11336-020-09697-3"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13428-017-0862-1"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/00273171.2018.1454823"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/jts.22818"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1037\/abn0000311"},{"issue":"2","key":"e_1_2_10_25_1","first-page":"15","article-title":"Symptomatology and Psychopathology of Mental Health Problems After Disaster","volume":"67","author":"Foa E. 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