{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T11:12:39Z","timestamp":1782126759613,"version":"3.54.5"},"reference-count":21,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T00:00:00Z","timestamp":1757894400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Suicide &amp;amp; Life Threat Behav"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Despite the burgeoning literature on mental health problems during the COVID\u201019 pandemic, little is understood about the heterogeneous developmental trajectories of depressive symptoms and their subsequent mental health outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This three\u2010year, five\u2010wave longitudinal study aimed to identify distinct trajectories of depressive symptoms among Chinese college students during the COVID\u201019 pandemic. We further examined the impact of these different trajectories on suicidal ideation and insomnia symptoms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>Participants included 1387 Chinese college students (27% male, average age\u2009=\u200919.24, SD\u2009=\u20090.99) from a five\u2010wave longitudinal online survey. Data were analyzed using Growth Mixture Modeling (GMM), a person\u2010centered approach, to identify distinct symptom trajectories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Five distinct trajectories of depression were identified: resilient (24.01%), moderate\u2010remission (46.27%), low\u2010increasing (19.68%), high\u2010recover (5.55%), and moderate\u2010increasing (4.35%). The analysis demonstrated that these trajectories of depression symptoms effectively predicted changes in suicidal ideation and insomnia symptoms over time.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>These findings highlight the significant heterogeneity of depression trajectories among Chinese college students and their strong association with critical mental health outcomes. The results suggest that individuals following increasing\u2010symptom trajectories are at particular risk for negative outcomes like suicidality and sleep disturbances.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Therefore, mental health service workers should not only focus on individuals' temporary state of depression but also monitor shifts in their depressive symptoms over time. Early identification of adverse trajectories can inform targeted interventions to mitigate the risk of severe outcomes like suicidal ideation and insomnia.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/sltb.70051","type":"journal-article","created":{"date-parts":[[2025,9,15]],"date-time":"2025-09-15T07:28:27Z","timestamp":1757921307000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Trajectories of Depressive Symptom Among College Students in China During the COVID\u201019 Pandemic: Association With Suicidal Ideation and Insomnia Symptoms"],"prefix":"10.1111","volume":"55","author":[{"given":"Binyuan","family":"Su","sequence":"first","affiliation":[{"name":"Counseling and Psychological Services, School of Psychology South China Normal University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8430-0438","authenticated-orcid":false,"given":"Xingyao","family":"Xiao","sequence":"additional","affiliation":[{"name":"Berkeley School of Education University of California, Berkeley  Berkeley USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yihong","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Education City University of Macau  Macao China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Canxia","family":"Liu","sequence":"additional","affiliation":[{"name":"Counseling and Psychological Services, School of Psychology South China Normal University  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunyan","family":"Yang","sequence":"additional","affiliation":[{"name":"Berkeley School of Education University of California, Berkeley  Berkeley USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,9,15]]},"reference":[{"issue":"2","key":"e_1_2_7_2_1","first-page":"347","article-title":"Sleep Quality, Stress Level and COVID\u201019 in University Students; 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