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Researchers have proposed using digital technologies to index daily biobehavioral functioning, yet there is a dearth of research examining how wearable metrics are associated with mental health.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We preregistered analyses using the Adolescent Brain Cognitive Development Study dataset using wearable data collection in 5,686 adolescents (123,862 person\u2010days or 2,972,688 person\u2010hours) to determine whether wearable indices of resting heart rate (RHR), step count, and sleep duration and variability in these measures were cross\u2010sectionally associated with internalizing symptomatology. All models were also run controlling for age, sex, body mass index, socioeconomic status, and race. We then performed prospective analyses on a subset of this sample (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009143) across 25\u2009months that had Fitbit data available at baseline and follow\u2010up in order to explore directionality of effects.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Cross\u2010sectional analyses revealed a small, yet significant, effect size (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u2009.053) that higher RHR, lower step count and step count variability, and greater variability in sleep duration were associated with greater internalizing symptoms. Cross\u2010lagged panel model analysis revealed that there were no prospective associations between wearable variables and internalizing symptoms (partial\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u2009.026), but greater internalizing symptoms and higher RHR predicted lower step count 25\u2009months later (partial\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u2009.010), while higher RHR also predicted lower step count variability 25\u2009months later (partial\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u2009.008).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Findings indicate that wearable indices concurrently associate with internalizing symptoms during early adolescence, while a larger sample size is likely required to accurately assess prospective or directional effects between wearable indices and mental health. Future research should capitalize on the temporal resolution provided by wearable devices to determine the intensive longitudinal relations between biobehavioral risk factors and acute changes in mental health.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jcpp.13471","type":"journal-article","created":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T08:15:27Z","timestamp":1624954527000},"page":"282-295","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Concurrent and prospective associations between fitbit wearable\u2010derived RDoC arousal and regulatory constructs and adolescent internalizing symptoms"],"prefix":"10.1111","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5474-7674","authenticated-orcid":false,"given":"Benjamin W.","family":"Nelson","sequence":"first","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica E.","family":"Flannery","sequence":"additional","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Flournoy","sequence":"additional","affiliation":[{"name":"Department of Psychology Harvard University Cambridge MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Natasha","family":"Duell","sequence":"additional","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7587-8665","authenticated-orcid":false,"given":"Mitchell J.","family":"Prinstein","sequence":"additional","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva","family":"Telzer","sequence":"additional","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,6,29]]},"reference":[{"key":"e_1_2_9_2_1","volume-title":"Manual for the Child Behavior Checklist 4\u201318 and 1991 profile","author":"Achenbach T.M.","year":"1991"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.2196\/mhealth.6321"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2019.03.044"},{"issue":"6","key":"e_1_2_9_5_1","first-page":"1","article-title":"Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: A systematic review and meta\u2010analysis","volume":"40","author":"Alvares G.A.","year":"2015","journal-title":"Journal of Psychiatry & Neuroscience"},{"key":"e_1_2_9_6_1","doi-asserted-by":"crossref","unstructured":"American Psychiatric Association. 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