{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T15:58:24Z","timestamp":1792079904473,"version":"4.4.0"},"reference-count":47,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T00:00:00Z","timestamp":1771200000000},"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. Psychol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Depression and anxiety are highly prevalent and often co-occurring mental health issues among adolescents, with comorbidity leading to poorer outcomes and additional challenges. Left-behind adolescents\u2014a unique group experiencing disrupted parent\u2013child relationships and limited social support\u2014may face a higher risk of such comorbidity. Yet, few studies have examined the depression-anxiety network in this population.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Latent profile analysis (LPA) identified subgroups with similar symptom patterns, and network analysis visualized the structure of comorbidities. Network comparison tests evaluated differences across subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Based on the \u201cScience Database of People Mental Health\u201d managed by the National Population Health Data Center (China), a total of 3,205 left-behind adolescents (1,538 males; 1,667 females) were included. The Patient Health Questionnaire-9 and the Generalized Anxiety Disorder Scale-7 were used to assess depression and anxiety among left-behind adolescents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Three distinct profiles were identified: high-comorbidity (8.2%), moderate-comorbidity (28.7%), and low-comorbidity (63.1%). Network structures and global strength differed significantly between subgroups. \u201cRestlessness\u201d was the central bridge symptom in the high-comorbidity group, while \u201cNervousness\u201d was central in the moderate- and low-comorbidity groups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These findings suggest tailored interventions targeting subgroup-specific bridge symptoms\u2014such as restlessness or nervousness\u2014may improve outcomes for left-behind adolescents with comorbid depression and anxiety.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyg.2026.1751196","type":"journal-article","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T05:19:09Z","timestamp":1771219149000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A latent profile analysis and network analysis of comorbidity of depression and anxiety in left-behind adolescents"],"prefix":"10.3389","volume":"17","author":[{"given":"Junying","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Psychology, Hebei Normal University","place":["Shijiazhuang, Hebei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Jia","sequence":"additional","affiliation":[{"name":"Department of Psychology, Hebei Normal University","place":["Shijiazhuang, Hebei, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,2,16]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.13614\/2284-0249-N281","article-title":"Autism spectrum disorders and psychiatric comorbidities: a narrative review","volume":"29","author":"Barlattani","year":"2023","journal-title":"J. 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