{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T01:03:21Z","timestamp":1770771801307,"version":"3.50.0"},"reference-count":64,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Int J Methods Psych Res"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to explore the transdiagnostic interactions between ADHD and ASD symptoms in Chinese children, identifying core and bridging symptoms, and examining differences in symptom networks across gender and age subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>Using data from a nationwide mental health survey of 71,217 Chinese children (mean age\u00a0=\u00a011.49, SD\u00a0=\u00a02.82), a symptom network analysis was conducted. ADHD and ASD symptoms were assessed via the Child Behavior Checklist (CBCL), with ASD items selected from an empirically derived CBCL autism scale. Network estimation was performed using the Glasso algorithm, and community detection was achieved through exploratory graph analysis (EGA). Network comparison tests (NCT) were used to evaluate differences in network structure and connectivity between gender (male vs. female) and age (younger vs. older) subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Inattentive symptoms (I8 \u201cCannot concentrate,\u201d I78 \u201cInattentive\/easily distracted\u201d) emerged as central bridging nodes linking ADHD and ASD symptoms. Three stable communities were identified: (1) an inattentive\/internalizing cluster reflecting overlapping ADHD\u2010inattentive and ASD features, (2) a hyperactive\/impulsive and immature behavior cluster, and (3) a social withdrawal\/low energy cluster representing core ASD features. Females exhibited significantly higher network connectivity than males (global strength:\n                      <jats:italic>S<\/jats:italic>\n                      \u00a0=\u00a01.05,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.03), with tighter symptom interplay. Older children showed greater ADHD\u2010ASD symptom overlap, though global strength differences were non\u2010significant (\n                      <jats:italic>S<\/jats:italic>\n                      \u00a0=\u00a00.70,\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0=\u00a00.13).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Two inattentive symptoms (I8 and I78) emerged as among the most strongly connected items in the combined ADHD\u2013ASD symptom profile, suggesting that attentional difficulties could play an important role in the psychopathological mechanisms underlying both conditions. Nevertheless, this cross\u2010sectional finding does not establish causality; longitudinal and intervention studies remain necessary. Screening approaches tailored to gender differences and local cultural context could improve identification of these symptoms in Chinese children and adolescents. The present findings may also guide future refinements in school mental\u2010health support and related policy development.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mpr.70042","type":"journal-article","created":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T06:30:58Z","timestamp":1763533858000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Network Analysis of ADHD and ASD Symptoms in Chinese Children: Insights on Age and Gender Differences"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7926-054X","authenticated-orcid":false,"given":"Jie","family":"Luo","sequence":"first","affiliation":[{"name":"The National Clinical Research Center for Mental Disorders &amp; Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital &amp; the Advanced Innovation Center for Human Brain Protection Capital Medical University  Beijing 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Medical University  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaoyang","family":"Xu","sequence":"additional","affiliation":[{"name":"The National Clinical Research Center for Mental Disorders &amp; Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital &amp; the Advanced Innovation Center for Human Brain Protection Capital Medical University  Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjie","family":"Qi","sequence":"additional","affiliation":[{"name":"The National Clinical Research Center for Mental Disorders &amp; Beijing Key Laboratory of Mental Disorders Beijing Anding Hospital &amp; the Advanced Innovation Center for Human Brain Protection Capital Medical University  Beijing 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