{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T23:48:08Z","timestamp":1791935288264,"version":"4.3.4"},"reference-count":18,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:00Z","timestamp":1791849600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:00Z","timestamp":1791849600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["acamh.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Child Psychology Psychiatry"],"abstract":"<jats:p>The psychiatric exposome offers a powerful framework for understanding how environmental conditions shape mental health across the life course, yet existing applications often reduce exposures to static, cumulative risk inventories. The exposome construct may be advanced emphasizing two interdependent dimensions: the timing of exposures within neurodevelopment and their hierarchical weight in terms of severity, chronicity, recurrence, and ecological impact. Environmental influences are neither equivalent nor context\u2010independent, but operate through dynamic, nonlinear interactions across biological, relational, social, and cultural systems. Sensitive developmental periods, including prenatal life, infancy, childhood, and adolescence, may amplify or transform the impact of specific exposures, while protective contexts such as responsive caregiving, enriched learning environments, and prosocial peer relations can buffer risk and promote resilience. A developmentally sensitive exposome also supports transdiagnostic and preclinical approaches by identifying latent environmental dimensions that cut across categorical diagnoses. Methodological advances, including digital phenotyping, relational biomarkers, network analysis, and artificial intelligence, may enable real\u2010time modelling of exposure trajectories. Finally, developmental exposomic clocks could be considered as clinically actionable tools to estimate environmentally driven deviations in maturation, supporting early detection, precision prevention, and individualized intervention in psychiatry across diverse clinical and community mental health settings globally.<\/jats:p>","DOI":"10.1111\/jcpp.70253","type":"journal-article","created":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T23:24:16Z","timestamp":1791933856000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Editorial Perspective: The developmental exposome: timing, hierarchy, and the architecture of psychiatric risk"],"prefix":"10.1111","author":[{"given":"Andrea","family":"Raballo","sequence":"first","affiliation":[{"name":"Faculty of Biomedical Sciences Universit\u00e0 della Svizzera Italiana (USI)  Lugano Switzerland"},{"name":"Cantonal Sociopsychiatric Organisation, Public Health Division, Department of Health and Social Care Repubblica e Cantone Ticino  Lugano Switzerland"},{"name":"Rethinking Mental Health Through Clinical and Data Intelligence (REMEDI) Lab, Euler Institute Universit\u00e0 della Svizzera Italiana (USI)  Lugano Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele","family":"Poletti","sequence":"additional","affiliation":[{"name":"Department of Mental Health and Pathological Addiction, Child and Adolescent Neuropsychiatry Service Azienda Unit\u00e0 Sanitaria Locale\u2010IRCCS di Reggio Emilia  Reggio Emilia Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Antonio","family":"Preti","sequence":"additional","affiliation":[{"name":"Department of Neuroscience University of Turin  Turin Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,13]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"crossref","DOI":"10.1017\/S0033291724003015","article-title":"Mapping the exposome of mental health: Exposome\u2010wide association study of mental health outcomes among UK biobank participants","volume":"55","author":"Arias\u2010Magnasco A.","year":"2025","journal-title":"Psychological Medicine"},{"key":"e_1_2_10_3_1","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s11920-022-01358-9","article-title":"Digital phenotyping for mental health: Reviewing the challenges of using data to monitor and predict mental health problems","volume":"24","author":"Birk R.H.","year":"2022","journal-title":"Current Psychiatry Reports"},{"key":"e_1_2_10_4_1","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1111\/jcpp.13664","article-title":"Integrative analysis of genomic and exposomic influences on 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