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Adolescents\u2019 limited self-regulation makes them particularly vulnerable to using smartphones to escape real-life stress, heightening addiction risk. However, the heterogeneity of addictive behaviors and the dynamic role of experiential avoidance have been underexplored. This 6-month longitudinal study surveyed 547 Chinese primary and secondary students using the Smartphone Addiction Scale (SAS) and the Acceptance and Action Questionnaire-II (AAQ-II). Latent profile analysis (LPA) and latent transition analysis (LTA) were applied to identify subgroups and examine transitions between these subgroups. Cross-lagged panel network analysis (CLPN) revealed key symptom interactions between experiential avoidance and addiction. The study identified two addiction subgroups: a stable \u201clow-risk group\u201d (84.9 percent) and a \u201chigh-risk group,\u201d 51.4 percent of whom transitioned to low risk over time. Logistic regression showed that experiential avoidance significantly predicted high-risk membership (odds ratios [OR] = 1.083\u20131.102) and deterioration within the low-risk group (OR = 1.036). The CLPN identified \u201conline intimacy\u201d (SPA-3) and \u201chesitation and overcautious\u201d (EA-7) as driver nodes, with \u201cwithdrawal symptoms\u201d (SPA-2) serving as a central node. These findings emphasize the crucial role of experiential avoidance in adolescent smartphone addiction and suggest symptom-level targets for early intervention. The results support acceptance and commitment therapy (ACT) as a promising approach for reducing smartphone addiction among youth.<\/jats:p>","DOI":"10.1177\/21522715261441401","type":"journal-article","created":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T08:07:31Z","timestamp":1776499651000},"page":"309-317","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["The Relationship Between Adolescent Experiential Avoidance and Smartphone Addiction: A Study Based on Latent Transition Analysis and Cross-Lagged Panel Network Analysis"],"prefix":"10.1177","volume":"29","author":[{"given":"Xiaoxiao","family":"Song","sequence":"first","affiliation":[{"name":"Hebei Key Laboratory of Mental Health and Brain Science, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Library, North China University of Science and Technology, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xindi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Basic Medical Sciences, North China University of Science and Technology, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tangshan Caofeidian Guokai Experimental School, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quanwei","family":"Zheng","sequence":"additional","affiliation":[{"name":"Tangshan Caofeidian Guokai Experimental School, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiujun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hebei Key Laboratory of Mental Health and Brain Science, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5806-714X","authenticated-orcid":false,"given":"Shaobo","family":"Lyu","sequence":"additional","affiliation":[{"name":"Hebei Key Laboratory of Mental Health and Brain Science, School of Psychology and Mental Health, North China University of Science and Technology, Hebei, China."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,4,18]]},"reference":[{"key":"e_1_3_2_2_1","unstructured":"1.China Internet Network Information Center (CNNIC). 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