{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T12:24:22Z","timestamp":1787747062075,"version":"build-2784847793"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T00:00:00Z","timestamp":1781740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T00:00:00Z","timestamp":1781740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R21MH126394"],"award-info":[{"award-number":["R21MH126394"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Res Child Adolesc Psychopathol"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Smartphones and wearables are low\u2013burden tools for assessing real\u2013time mood and behavior. Although these methods have been used with adolescents for behavioral tracking (e.g., activity, sleep), less is known about longer\u2013term use (beyond one week) with adolescents with depression and about mobile sensing for monitoring mood for any adolescent population. This study examined acceptability and feasibility of a one\u2013month EMA, actigraphy, and mobile sensing protocol for adolescents with elevated depressive symptoms. Adolescents aged 12 to 18 (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u200969; M\n                    <jats:italic>age<\/jats:italic>\n                    \u2009=\u200915.46; 67% assigned female at birth; 42% White; 71% Hispanic or Latine; 38% sexual minority) completed EMA surveys on depressive symptoms, processes, and affect multiple times daily via a smartphone app that also collected passive sensor data (e.g., motion, geolocation). An actigraph measured physical activity and sleep. A feedback interview assessed protocol acceptability. Most participants (91%) completed all components, were willing to participate again (91%), and would recommend participation to peers (93%). EMA response rates improved (mean completion 57% to 66%) after shifting to a semi\u2013personalized schedule with extended response windows. Actigraph wear time was high (&gt;\u200970%) despite device\u2013related issues. Sensor data availability varied by operating system, and privacy concerns influenced participation. Adherence was correlated within and between modalities, suggesting that individual compliance played a central role in consistent engagement. Findings support the feasibility and acceptability of smartphone and wearable methods for capturing real\u2013world mood and behavior in adolescents, however careful attention to design, engagement, and ethical considerations remains essential.\n                  <\/jats:p>","DOI":"10.1007\/s10802-026-01464-9","type":"journal-article","created":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T21:21:10Z","timestamp":1781817670000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Feasibility and Acceptability of a Smartphone and Wearable Assessment Protocol for Adolescents with Depression"],"prefix":"10.1007","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3535-5181","authenticated-orcid":false,"given":"Jenny","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9411-4284","authenticated-orcid":false,"given":"Jennifer","family":"Frederick","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4700-5231","authenticated-orcid":false,"given":"Lindsey","family":"Cunningham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8832-4741","authenticated-orcid":false,"given":"Nicholas C.","family":"Jacobson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9754-4618","authenticated-orcid":false,"given":"Aaron J.","family":"Fisher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7426-9411","authenticated-orcid":false,"given":"Jeremy W.","family":"Pettit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6954-4204","authenticated-orcid":false,"given":"Dana L.","family":"McMakin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1399-0133","authenticated-orcid":false,"given":"Mei Yi","family":"Ng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,18]]},"reference":[{"key":"1464_CR1","unstructured":"Abuse, S., & Administration, M. H. S. (2020). Key substance use and mental health indicators in the United States: Results from the 2019 National Survey on Drug Use and Health. Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. https:\/\/www.samhsa.gov\/data\/"},{"issue":"1","key":"1464_CR2","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1177\/1754073918768878","volume":"11","author":"NH Bailen","year":"2019","unstructured":"Bailen, N. H., Green, L. M., & Thompson, R. J. (2019). Understanding emotion in adolescents: A review of emotional frequency, intensity, instability, and clarity. Emotion Review, 11(1), 63\u201373. https:\/\/doi.org\/10.1177\/1754073918768878","journal-title":"Emotion Review"},{"issue":"8","key":"1464_CR3","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1007\/s11920-018-0913-z","volume":"20","author":"I Baltasar-Tello","year":"2018","unstructured":"Baltasar-Tello, I., Migu\u00e9lez-Fern\u00e1ndez, C., Pe\u00f1uelas-Calvo, I., & Carballo, J. J. (2018). Ecological momentary assessment and mood disorders in children and adolescents: A systematic review. Current Psychiatry Reports, 20(8), 66. https:\/\/doi.org\/10.1007\/s11920-018-0913-z","journal-title":"Current Psychiatry Reports"},{"issue":"3","key":"1464_CR4","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1037\/prj0000130","volume":"38","author":"D Ben-Zeev","year":"2015","unstructured":"Ben-Zeev, D., Scherer, E. A., Wang, R., Xie, H., & Campbell, A. T. (2015). Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. Psychiatric Rehabilitation Journal, 38(3), 218\u2013226. https:\/\/doi.org\/10.1037\/prj0000130","journal-title":"Psychiatric Rehabilitation Journal"},{"key":"1464_CR5","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/j.jad.2020.12.133","volume":"282","author":"JK Bone","year":"2021","unstructured":"Bone, J. K., Lewis, G., Roiser, J. P., Blakemore, S. J., & Lewis, G. (2021). Recall bias during adolescence: Gender differences and associations with depressive symptoms. Journal of Affective Disorders, 282, 299\u2013307. https:\/\/doi.org\/10.1016\/j.jad.2020.12.133","journal-title":"Journal of Affective Disorders"},{"issue":"4","key":"1464_CR6","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1007\/s13142-016-0442-4","volume":"6","author":"EE Brannon","year":"2016","unstructured":"Brannon, E. E., Cushing, C. C., Crick, C. J., & Mitchell, T. B. (2016). The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: A feasibility and acceptability study. Translational Behavioral Medicine, 6(4), 558\u2013565. https:\/\/doi.org\/10.1007\/s13142-016-0442-4","journal-title":"Translational Behavioral Medicine"},{"issue":"2","key":"1464_CR7","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1007\/s44174-023-00150-4","volume":"2","author":"AC Bryan","year":"2024","unstructured":"Bryan, A. C., Heinz, M. V., Salzhauer, A. J., Price, G. D., Tlachac, M. L., & Jacobson, N. C. (2024). Behind the screen: A narrative review on the translational capacity of passive sensing for mental health assessment. Biomedical Materials & Devices, 2(2), 778\u2013810. https:\/\/doi.org\/10.1007\/s44174-023-00150-4","journal-title":"Biomedical Materials & Devices"},{"issue":"1","key":"1464_CR8","doi-asserted-by":"publisher","first-page":"e14045","DOI":"10.2196\/14045","volume":"7","author":"J Cao","year":"2020","unstructured":"Cao, J., Truong, A. L., Banu, S., Shah, A. A., Sabharwal, A., & Moukaddam, N. (2020). Tracking and predicting depressive symptoms of adolescents using smartphone-based self-reports, parental evaluations, and passive phone sensor data: Development and usability study. JMIR Mental Health, 7(1), e14045. https:\/\/doi.org\/10.2196\/14045","journal-title":"JMIR Mental Health"},{"key":"1464_CR9","unstructured":"Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates."},{"key":"1464_CR10","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.jbi.2017.12.008","volume":"77","author":"VP Cornet","year":"2018","unstructured":"Cornet, V. P., & Holden, R. J. (2018). Systematic review of smartphone-based passive sensing for health and wellbeing. Journal of Biomedical Informatics, 77, 120\u2013132. https:\/\/doi.org\/10.1016\/j.jbi.2017.12.008","journal-title":"Journal of Biomedical Informatics"},{"key":"1464_CR11","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1016\/j.psychres.2018.06.031","volume":"267","author":"EK Czyz","year":"2018","unstructured":"Czyz, E. K., King, C. A., & Nahum-Shani, I. (2018). Ecological assessment of daily suicidal thoughts and attempts among suicidal teens after psychiatric hospitalization: Lessons about feasibility and acceptability. Psychiatry Research, 267, 566\u2013574. https:\/\/doi.org\/10.1016\/j.psychres.2018.06.031","journal-title":"Psychiatry Research"},{"issue":"1","key":"1464_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1196\/annals.1308.001","volume":"1021","author":"RE Dahl","year":"2004","unstructured":"Dahl, R. E. (2004). Adolescent brain development: A period of vulnerabilities and opportunities. Keynote address. Annals of the New York Academy of Sciences, 1021(1), 1\u201322. https:\/\/doi.org\/10.1196\/annals.1308.001","journal-title":"Annals of the New York Academy of Sciences"},{"issue":"1","key":"1464_CR13","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1038\/s41746-021-00548-8","volume":"5","author":"V De Angel","year":"2022","unstructured":"De Angel, V., Lewis, S., White, K., Oetzmann, C., Leightley, D., Oprea, E., Lavelle, G., Matcham, F., Pace, A., Mohr, D. C., Dobson, R., & Hotopf, M. (2022). Digital health tools for the passive monitoring of depression: A systematic review of methods. Npj Digital Medicine, 5(1), 3. https:\/\/doi.org\/10.1038\/s41746-021-00548-8","journal-title":"Npj Digital Medicine"},{"issue":"7","key":"1464_CR14","doi-asserted-by":"publisher","first-page":"e262","DOI":"10.2196\/jmir.7006","volume":"19","author":"E Dogan","year":"2017","unstructured":"Dogan, E., Sander, C., Wagner, X., Hegerl, U., & Kohls, E. (2017). Smartphone-based monitoring of objective and subjective data in affective disorders: Where are we and where are we going? Systematic review. Journal of Medical Internet Research, 19(7), e262. https:\/\/doi.org\/10.2196\/jmir.7006","journal-title":"Journal of Medical Internet Research"},{"key":"1464_CR15","unstructured":"Faverio, M., & Sidoti, O. (2024). Teens, social media and technology 2024. Pew Research Center. https:\/\/www.pewresearch.org\/internet\/2024\/12\/12\/teens-social-media-and-technology-2024"},{"issue":"1","key":"1464_CR16","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1080\/15374416.2020.1741377","volume":"51","author":"CR Glenn","year":"2022","unstructured":"Glenn, C. R., Kleiman, E. M., Kearns, J. C., Santee, A. C., Esposito, E. C., Conwell, Y., & Alpert-Gillis, L. J. (2022). Feasibility and acceptability of ecological momentary assessment with high-risk suicidal adolescents following acute psychiatric care. Journal of Clinical Child & Adolescent Psychology, 51(1), 32\u201348. https:\/\/doi.org\/10.1080\/15374416.2020.1741377","journal-title":"Journal of Clinical Child & Adolescent Psychology"},{"issue":"10","key":"1464_CR18","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1093\/jpepsy\/jsx078","volume":"42","author":"KE Heron","year":"2017","unstructured":"Heron, K. E., Everhart, R. S., McHale, S. M., & Smyth, J. M. (2017). Using mobile-technology-based ecological momentary assessment (EMA) methods with youth: A systematic review and recommendations. Journal of Pediatric Psychology, 42(10), 1087\u20131107. https:\/\/doi.org\/10.1093\/jpepsy\/jsx078","journal-title":"Journal of Pediatric Psychology"},{"issue":"4","key":"1464_CR19","doi-asserted-by":"publisher","first-page":"270","DOI":"10.2471\/BLT.19.237107","volume":"98","author":"NC Jacobson","year":"2020","unstructured":"Jacobson, N. C., Bentley, K. H., Walton, A., Wang, S. B., Fortgang, R. G., Millner, A. J., Coombs, G., Rodman, A. M., & Coppersmith, D. D. L. (2020). Ethical dilemmas posed by mobile health and machine learning in psychiatry research. Bulletin of the World Health Organization, 98(4), 270\u2013276. https:\/\/doi.org\/10.2471\/BLT.19.237107","journal-title":"Bulletin of the World Health Organization"},{"key":"1464_CR20","doi-asserted-by":"publisher","first-page":"115347","DOI":"10.1016\/j.psychres.2023.115347","volume":"326","author":"A Jiang","year":"2023","unstructured":"Jiang, A., Al-Dajani, N., King, C., Hong, V., Koo, H. J., & Czyz, E. (2023). Acceptability and feasibility of ecological momentary assessment with augmentation of passive sensor data in young adults at high risk for suicide. Psychiatry Research, 326, 115347. https:\/\/doi.org\/10.1016\/j.psychres.2023.115347","journal-title":"Psychiatry Research"},{"issue":"9","key":"1464_CR21","doi-asserted-by":"publisher","first-page":"e13725","DOI":"10.2196\/13725","volume":"7","author":"E Kleiman","year":"2019","unstructured":"Kleiman, E., Millner, A. J., Joyce, V. W., Nash, C. C., Buonopane, R. J., & Nock, M. K. (2019). Using wearable physiological monitors with suicidal adolescent inpatients: Feasibility and acceptability study. JMIR mHealth and uHealth, 7(9), e13725. https:\/\/doi.org\/10.2196\/13725","journal-title":"JMIR mHealth and uHealth"},{"issue":"2","key":"1464_CR22","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1249\/MSS.0000000000003301","volume":"56","author":"SR Lamunion","year":"2024","unstructured":"Lamunion, S. R., Brychta, R. J., Saint-Maurice, P. F., Matthews, C. E., & Chen, K. Y. (2024). Does wrist-worn accelerometer wear compliance wane over a free-living assessment period? An NHANES analysis. Medicine & Science in Sports & Exercise, 56(2), 209\u2013220. https:\/\/doi.org\/10.1249\/MSS.0000000000003301","journal-title":"Medicine & Science in Sports & Exercise"},{"key":"1464_CR23","doi-asserted-by":"publisher","unstructured":"Langener, A. M., Stulp, G., Jacobson, N. C., Costanzo, A., Jagesar, R. R., Kas, M. J., & Bringmann, L. F. (2024). It\u2019s all about timing: Exploring different temporal resolutions for analyzing digital-phenotyping data. Advances in Methods and Practices in Psychological Science, 7(1). https:\/\/doi.org\/10.1177\/25152459231202677","DOI":"10.1177\/25152459231202677"},{"issue":"1","key":"1464_CR24","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1037\/0021-843X.99.1.92","volume":"99","author":"RW Larson","year":"1990","unstructured":"Larson, R. W., Raffaelli, M., Richards, M. H., Ham, M., & Jewell, L. (1990). Ecology of depression in late childhood and early adolescence: A profile of daily states and activities. Journal of Abnormal Psychology, 99(1), 92\u2013102. https:\/\/doi.org\/10.1037\/0021-843X.99.1.92","journal-title":"Journal of Abnormal Psychology"},{"issue":"3","key":"1464_CR25","doi-asserted-by":"publisher","first-page":"e10334","DOI":"10.2196\/10334","volume":"5","author":"MN Lind","year":"2018","unstructured":"Lind, M. N., Byrne, M. L., Wicks, G., Smidt, A. M., & Allen, N. B. (2018). The Effortless Assessment of Risk States (EARS) tool: An interpersonal approach to mobile sensing. JMIR Mental Health, 5(3), e10334. https:\/\/doi.org\/10.2196\/10334","journal-title":"JMIR Mental Health"},{"key":"1464_CR26","doi-asserted-by":"publisher","first-page":"e38920","DOI":"10.2196\/38920","volume":"10","author":"MN Lind","year":"2023","unstructured":"Lind, M. N., Kahn, L. E., Crowley, R., Reed, W., Wicks, G., & Allen, N. B. (2023). Reintroducing the Effortless Assessment Research System (EARS). JMIR Mental Health, 10, e38920. https:\/\/doi.org\/10.2196\/38920","journal-title":"JMIR Mental Health"},{"issue":"6","key":"1464_CR30","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/s12160-016-9830-8","volume":"52","author":"I Nahum-Shani","year":"2018","unstructured":"Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: Key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine, 52(6), 446\u2013462. https:\/\/doi.org\/10.1007\/s12160-016-9830-8","journal-title":"Annals of Behavioral Medicine"},{"key":"1464_CR31","doi-asserted-by":"publisher","DOI":"10.2196\/43931","volume":"13","author":"MY Ng","year":"2024","unstructured":"Ng, M. Y., Frederick, J. A., Fisher, A. J., Allen, N. B., Pettit, J. W., & McMakin, D. L. (2024). Identifying person-specific drivers of depression in adolescents: Protocol for a smartphone-based ecological momentary assessment and passive sensing study. JMIR Research Protocols, 13, Article e43931. https:\/\/doi.org\/10.2196\/43931","journal-title":"JMIR Research Protocols"},{"key":"1464_CR32","unstructured":"Piper Sandler (n.d.). Taking Stock With Teens\u00ae: Spring 2025. Piper Sandler. Retrieved https:\/\/www.pipersandler.com\/teens"},{"issue":"3","key":"1464_CR33","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1177\/014662167700100306","volume":"1","author":"LS Radloff","year":"1977","unstructured":"Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385\u2013401. https:\/\/doi.org\/10.1177\/014662167700100306","journal-title":"Applied Psychological Measurement"},{"issue":"1","key":"1464_CR34","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1097\/00004583-199101000-00009","volume":"30","author":"RE Roberts","year":"1991","unstructured":"Roberts, R. E., Lewinsohn, P. M., & Seeley, J. R. (1991). Screening for adolescent depression: A comparison of depression scales. Journal of the American Academy of Child and Adolescent Psychiatry, 30(1), 58\u201366. https:\/\/doi.org\/10.1097\/00004583-199101000-00009","journal-title":"Journal of the American Academy of Child and Adolescent Psychiatry"},{"issue":"8","key":"1464_CR35","doi-asserted-by":"publisher","DOI":"10.2196\/mhealth.9691","volume":"6","author":"DA Rohani","year":"2018","unstructured":"Rohani, D. A., Faurholt-Jepsen, M., Kessing, L. V., & Bardram, J. E. (2018). Correlations between objective behavioral features collected from mobile and wearable devices and depressive mood symptoms in patients with affective disorders: Systematic review. JMIR Mhealth and Uhealth, 6(8), Article e165. https:\/\/doi.org\/10.2196\/mhealth.9691","journal-title":"JMIR Mhealth and Uhealth"},{"issue":"2","key":"1464_CR36","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1080\/1091367X.2022.2125319","volume":"27","author":"MD Schmidt","year":"2023","unstructured":"Schmidt, M. D., Rathbun, S. L., Chu, Z., Boudreaux, B. D., Hahn, L., Novotny, E., Johnsen, K., & Ahn, S. J. (2023). Agreement between Fitbit and ActiGraph estimates of physical activity in young children. Measurement in Physical Education and Exercise Science, 27(2), 171\u2013180. https:\/\/doi.org\/10.1080\/1091367X.2022.2125319","journal-title":"Measurement in Physical Education and Exercise Science"},{"key":"1464_CR37","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.jad.2019.11.156","volume":"265","author":"L Sequeira","year":"2020","unstructured":"Sequeira, L., Perrotta, S., LaGrassa, J., Merikangas, K., Kreindler, D., Kundur, D., Courtney, D., Szatmari, P., Battaglia, M., & Strauss, J. (2020). Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: A scoping review. Journal of Affective Disorders, 265, 314\u2013324. https:\/\/doi.org\/10.1016\/j.jad.2019.11.156","journal-title":"Journal of Affective Disorders"},{"issue":"2","key":"1464_CR38","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/j.jecp.2010.10.007","volume":"110","author":"JS Silk","year":"2011","unstructured":"Silk, J. S., Forbes, E. E., Whalen, D. J., Jakubcak, J. L., Thompson, W. K., Ryan, N. D., Axelson, D. A., Birmaher, B., & Dahl, R. E. (2011). Daily emotional dynamics in depressed youth: A cell phone ecological momentary assessment study. Journal of Experimental Child Psychology, 110(2), 241\u2013257. https:\/\/doi.org\/10.1016\/j.jecp.2010.10.007","journal-title":"Journal of Experimental Child Psychology"},{"issue":"6","key":"1464_CR39","doi-asserted-by":"publisher","first-page":"1869","DOI":"10.1046\/j.1467-8624.2003.00643.x","volume":"74","author":"JS Silk","year":"2003","unstructured":"Silk, J. S., Steinberg, L., & Morris, A. S. (2003). Adolescents\u2019 emotion regulation in daily life: Links to depressive symptoms and problem behavior. Child Development, 74(6), 1869\u20131880. https:\/\/doi.org\/10.1046\/j.1467-8624.2003.00643.x","journal-title":"Child Development"},{"key":"1464_CR40","doi-asserted-by":"publisher","first-page":"e43826","DOI":"10.2196\/43826","volume":"25","author":"S Tonkin","year":"2023","unstructured":"Tonkin, S., Gass, J., Wray, J., Maguin, E., Mahoney, M., Colder, C., Tiffany, S., & HawkJr, L. W. (2023). Evaluating declines in compliance with ecological momentary assessment in longitudinal health behavior research: Analyses from a clinical trial. Journal of Medical Internet Research, 25, e43826. https:\/\/doi.org\/10.2196\/43826","journal-title":"Journal of Medical Internet Research"},{"issue":"1","key":"1464_CR41","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1146\/annurev-clinpsy-050212-185510","volume":"9","author":"TJ Trull","year":"2013","unstructured":"Trull, T. J., & Ebner-Priemer, U. (2013). Ambulatory assessment. Annual Review of Clinical Psychology, 9(1), 151\u2013176. https:\/\/doi.org\/10.1146\/annurev-clinpsy-050212-185510","journal-title":"Annual Review of Clinical Psychology"},{"issue":"3","key":"1464_CR42","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1111\/jora.12471","volume":"29","author":"E Van Roekel","year":"2019","unstructured":"Van Roekel, E., Keijsers, L., & Chung, J. M. (2019). A review of current ambulatory assessment studies in adolescent samples and practical recommendations. Journal of Research on Adolescence, 29(3), 560\u2013577. https:\/\/doi.org\/10.1111\/jora.12471","journal-title":"Journal of Research on Adolescence"},{"issue":"4","key":"1464_CR43","doi-asserted-by":"publisher","first-page":"e132","DOI":"10.2196\/jmir.6641","volume":"19","author":"CKF Wen","year":"2017","unstructured":"Wen, C. K. F., Schneider, S., Stone, A. A., & Spruijt-Metz, D. (2017). Compliance with mobile ecological momentary assessment protocols in children and adolescents: A systematic review and meta-analysis. Journal of Medical Internet Research, 19(4), e132. https:\/\/doi.org\/10.2196\/jmir.6641","journal-title":"Journal of Medical Internet Research"},{"issue":"3","key":"1464_CR44","doi-asserted-by":"publisher","first-page":"e17023","DOI":"10.2196\/17023","volume":"23","author":"MT Williams","year":"2021","unstructured":"Williams, M. T., Lewthwaite, H., Fraysse, F., Gajewska, A., Ignatavicius, J., & Ferrar, K. (2021). Compliance with mobile ecological momentary assessment of self-reported health-related behaviors and psychological constructs in adults: Systematic review and meta-analysis. Journal of Medical Internet Research, 23(3), e17023. https:\/\/doi.org\/10.2196\/17023","journal-title":"Journal of Medical Internet Research"},{"issue":"3","key":"1464_CR45","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1017\/S0033291714001640","volume":"45","author":"S Wilson","year":"2015","unstructured":"Wilson, S., Hicks, B. M., Foster, K. T., McGue, M., & Iacono, W. G. (2015). Age of onset and course of major depressive disorder: Associations with psychosocial functioning outcomes in adulthood. Psychological Medicine, 45(3), 505\u2013514. https:\/\/doi.org\/10.1017\/S0033291714001640","journal-title":"Psychological Medicine"},{"issue":"3","key":"1464_CR46","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1177\/10731911211067538","volume":"30","author":"C Wrzus","year":"2023","unstructured":"Wrzus, C., & Neubauer, A. B. (2023). Ecological momentary assessment: A meta-analysis on designs, samples, and compliance across research fields. Assessment, 30(3), 825\u2013846. https:\/\/doi.org\/10.1177\/10731911211067538","journal-title":"Assessment"},{"key":"1464_CR47","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1016\/j.jad.2020.05.116","volume":"274","author":"SJ Yim","year":"2020","unstructured":"Yim, S. J., Lui, L. M. W., Lee, Y., Rosenblat, J. D., Ragguett, R.-M., Park, C., Subramaniapillai, M., Cao, B., Zhou, A., Rong, C., Lin, K., Ho, R. C., Coles, A. S., Majeed, A., Wong, E. R., Phan, L., Nasri, F., & McIntyre, R. S. (2020). The utility of smartphone-based, ecological momentary assessment for depressive symptoms. Journal of Affective Disorders, 274, 602\u2013609. https:\/\/doi.org\/10.1016\/j.jad.2020.05.116","journal-title":"Journal of Affective Disorders"},{"key":"1464_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2024.116138","volume":"340","author":"J Zhu","year":"2024","unstructured":"Zhu, J., Niu, L., Hou, X., Tao, H., Ma, Y., Silenzio, V., Lin, K., & Zhou, L. (2024). Feasibility and acceptability of ecological momentary assessment to assess suicide risk among young people with mood disorder in China. Psychiatry Research, 340, Article 116138. https:\/\/doi.org\/10.1016\/j.psychres.2024.116138","journal-title":"Psychiatry Research"}],"container-title":["Research on Child and Adolescent Psychopathology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10802-026-01464-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10802-026-01464-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10802-026-01464-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T12:12:50Z","timestamp":1787746370000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10802-026-01464-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,18]]},"references-count":44,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,8]]}},"alternative-id":["1464"],"URL":"https:\/\/doi.org\/10.1007\/s10802-026-01464-9","relation":{},"ISSN":["2730-7166","2730-7174"],"issn-type":[{"value":"2730-7166","type":"print"},{"value":"2730-7174","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,18]]},"assertion":[{"value":"24 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The study was approved by the Institutional Review Board of Florida International University in April 2020 (IRB-20-0257) and renewed annually thereafter. The study was conducted in accordance with the ethical standards of the American Psychological Association. Informed consent was obtained from all individual participants included in the study.","order":1,"name":"Ethics","label":"Ethical Approval","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflicts of interest to disclose.","order":2,"name":"Ethics","label":"Conflict of Interest","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"78"}}