Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

F. Matcham, C. Barattieri di San Pietro, V. Bulgari, G. de Girolamo, R. Dobson, H. Eriksson, A. A. Folarin, J. M. Haro, M. Kerz, F. Lamers, Q. Li, N. V. Manyakov, D. C. Mohr, I. Myin-Germeys, V. Narayan, Penninx BWJH, Y. Ranjan, Z. Rashid, A. Rintala, S. Siddi, S. K. Simblett, T. Wykes, M. Hotopf, on behalf of the RADAR-CNS consortium

ABSTRACT

BACKGROUND: There is a growing body of literature highlighting the role that wearable and mobile remote measurement technology (RMT) can play in measuring symptoms of major depressive disorder (MDD). Outcomes assessment typically relies on self-report, which can be biased by dysfunctional perceptions and current symptom severity. Predictors of depressive relapse include disrupted sleep, reduced sociability, physical activity, changes in mood, prosody and cognitive function, which are all amenable to measurement via RMT. This study aims to: 1) determine the usability, feasibility and acceptability of RMT; 2) improve and refine clinical outcome measurement using RMT to identify current clinical state; 3) determine whether RMT can provide information predictive of depressive relapse and other critical outcomes. METHODS: RADAR-MDD is a multi-site prospective cohort study, aiming to recruit 600 participants with a history of depressive disorder across three sites: London, Amsterdam and Barcelona. Participants will be asked to wear a wrist-worn activity tracker and download several apps onto their smartphones. These apps will be used to either collect data passively from existing smartphone sensors, or to deliver questionnaires, cognitive tasks, and speech assessments. The wearable device, smartphone sensors and questionnaires will collect data for up to 2-years about participants' sleep, physical activity, stress, mood, sociability, speech patterns, and cognitive function. The primary outcome of interest is MDD relapse, defined via the Inventory of Depressive Symptomatology- Self-Report questionnaire (IDS-SR) and the World Health Organisation's self-reported Composite International Diagnostic Interview (CIDI-SF). DISCUSSION: This study aims to provide insight into the early predictors of major depressive relapse, measured unobtrusively via RMT. If found to be acceptable to patients and other key stakeholders and able to provide clinically useful information predictive of future deterioration, RMT has potential to change the way in which depression and other long-term conditions are measured and managed. More... »

PAGES

72

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12888-019-2049-z

DOI

http://dx.doi.org/10.1186/s12888-019-2049-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112218530

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30777041


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matcham", 
        "givenName": "F.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Milano-Bicocca", 
          "id": "https://www.grid.ac/institutes/grid.7563.7", 
          "name": [
            "IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy", 
            "Univeristy of Milan-Bicocca, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barattieri di San Pietro", 
        "givenName": "C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro San Giovanni di Dio Fatebenefratelli", 
          "id": "https://www.grid.ac/institutes/grid.419422.8", 
          "name": [
            "IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bulgari", 
        "givenName": "V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro San Giovanni di Dio Fatebenefratelli", 
          "id": "https://www.grid.ac/institutes/grid.419422.8", 
          "name": [
            "IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Girolamo", 
        "givenName": "G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dobson", 
        "givenName": "R.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lundbeck (Denmark)", 
          "id": "https://www.grid.ac/institutes/grid.424580.f", 
          "name": [
            "H. Lundbeck A/S, Valby, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eriksson", 
        "givenName": "H.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Folarin", 
        "givenName": "A. A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.5841.8", 
          "name": [
            "Parc Sanitari Sant Joan de D\u00e9u, Fundaci\u00f3 Sant Joan de D\u00e9u, CIBERSAM, Universitat de Barcelona, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haro", 
        "givenName": "J. M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kerz", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VU University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Psychiatry and Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lamers", 
        "givenName": "F.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Janssen (United States)", 
          "id": "https://www.grid.ac/institutes/grid.497530.c", 
          "name": [
            "Janssen Research and Development, LLC, Titusville, NJ, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Q.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Janssen (Belgium)", 
          "id": "https://www.grid.ac/institutes/grid.419619.2", 
          "name": [
            "Janssen Research and Development, LLC, Beerse, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Manyakov", 
        "givenName": "N. V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Northwestern University", 
          "id": "https://www.grid.ac/institutes/grid.16753.36", 
          "name": [
            "Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University, Chicago, IL, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mohr", 
        "givenName": "D. C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "KU Leuven", 
          "id": "https://www.grid.ac/institutes/grid.5596.f", 
          "name": [
            "Department for Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Myin-Germeys", 
        "givenName": "I.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Janssen (United States)", 
          "id": "https://www.grid.ac/institutes/grid.497530.c", 
          "name": [
            "Janssen Research and Development, LLC, Titusville, NJ, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Narayan", 
        "givenName": "V.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "VU University Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.16872.3a", 
          "name": [
            "Department of Psychiatry and Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, The Netherlands"
          ], 
          "type": "Organization"
        }, 
        "familyName": "BWJH", 
        "givenName": "Penninx", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ranjan", 
        "givenName": "Y.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rashid", 
        "givenName": "Z.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "KU Leuven", 
          "id": "https://www.grid.ac/institutes/grid.5596.f", 
          "name": [
            "Department for Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rintala", 
        "givenName": "A.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Barcelona", 
          "id": "https://www.grid.ac/institutes/grid.5841.8", 
          "name": [
            "Parc Sanitari Sant Joan de D\u00e9u, Fundaci\u00f3 Sant Joan de D\u00e9u, CIBERSAM, Universitat de Barcelona, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Siddi", 
        "givenName": "S.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Simblett", 
        "givenName": "S. K.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wykes", 
        "givenName": "T.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King\u2019s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hotopf", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "familyName": "on behalf of the RADAR-CNS consortium", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1001/archinte.166.10.1092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000765559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.jom.0000126684.82825.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000975170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.jom.0000126684.82825.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000975170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2661806.2661809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003331290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-0447.1990.tb01360.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005019138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ijnp/pyv076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006415397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s2045796011000345", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006827032"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2000.tb02037.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008299688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2000.tb02037.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008299688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11920-004-0007-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009714164", 
          "https://doi.org/10.1007/s11920-004-0007-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jrp.2010.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013644784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvoice.2016.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019975348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.accinf.2010.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020225113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40120-013-0006-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021673346", 
          "https://doi.org/10.1007/s40120-013-0006-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/a0032223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027526311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/ccp0000050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031992917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mpr.47", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032138273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mpr.47", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032138273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sleep.2013.11.078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032512782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1192/bjp.180.5.461", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032912069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jad.2008.06.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033408012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cpr.2015.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033468630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/09638237.2015.1019054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035408012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-8869(02)00331-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037124695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-8869(02)00331-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037124695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mpr.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038284636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mpr.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038284636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbi.2008.08.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039152312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2013.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042015452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1192/bjp.177.39.s28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044746265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/resprot.5763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047460115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(96)00236-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048737616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpsychores.2005.10.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051517875"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cpr.2012.05.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052359697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291708004947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053793259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291703001843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053840867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291703001843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053840867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291716002312", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053964625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1027/1015-5759.23.4.258", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056344267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/scitranslmed.aaa3487", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062688661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1176/appi.ajp.163.1.28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063496944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1207/s15327590ijhc143&4_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064218406"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4088/jcp.09m05663gry", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072204775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4088/jcp.13r08710", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072205961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-clinpsy-032816-044949", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084512021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1521/jscp.2017.36.4.300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085302514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/jmir.7006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090888414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/eb-2017-102763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092329859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12916-017-0972-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099597278", 
          "https://doi.org/10.1186/s12916-017-0972-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07420528.2017.1413578", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099665744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/25148867", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102515524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/10480", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103938651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/11325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107717803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/11325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107717803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/11325", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107717803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2196/11734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110489701"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: There is a growing body of literature highlighting the role that wearable and mobile remote measurement technology (RMT) can play in measuring symptoms of major depressive disorder (MDD). Outcomes assessment typically relies on self-report, which can be biased by dysfunctional perceptions and current symptom severity. Predictors of depressive relapse include disrupted sleep, reduced sociability, physical activity, changes in mood, prosody and cognitive function, which are all amenable to measurement via RMT. This study aims to: 1) determine the usability, feasibility and acceptability of RMT; 2) improve and refine clinical outcome measurement using RMT to identify current clinical state; 3) determine whether RMT can provide information predictive of depressive relapse and other critical outcomes.\nMETHODS: RADAR-MDD is a multi-site prospective cohort study, aiming to recruit 600 participants with a history of depressive disorder across three sites: London, Amsterdam and Barcelona. Participants will be asked to wear a wrist-worn activity tracker and download several apps onto their smartphones. These apps will be used to either collect data passively from existing smartphone sensors, or to deliver questionnaires, cognitive tasks, and speech assessments. The wearable device, smartphone sensors and questionnaires will collect data for up to 2-years about participants' sleep, physical activity, stress, mood, sociability, speech patterns, and cognitive function. The primary outcome of interest is MDD relapse, defined via the Inventory of Depressive Symptomatology- Self-Report questionnaire (IDS-SR) and the World Health Organisation's self-reported Composite International Diagnostic Interview (CIDI-SF).\nDISCUSSION: This study aims to provide insight into the early predictors of major depressive relapse, measured unobtrusively via RMT. If found to be acceptable to patients and other key stakeholders and able to provide clinically useful information predictive of future deterioration, RMT has potential to change the way in which depression and other long-term conditions are measured and managed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12888-019-2049-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024952", 
        "issn": [
          "1471-244X"
        ], 
        "name": "BMC Psychiatry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol", 
    "pagination": "72", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ae2ffd1b5e81efc540b9b0d13b515261fa82a51a0557acb749cc148d0a71a85d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30777041"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968559"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12888-019-2049-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112218530"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12888-019-2049-z", 
      "https://app.dimensions.ai/details/publication/pub.1112218530"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:28", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113640_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12888-019-2049-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12888-019-2049-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12888-019-2049-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12888-019-2049-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12888-019-2049-z'


 

This table displays all metadata directly associated to this object as RDF triples.

378 TRIPLES      21 PREDICATES      77 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12888-019-2049-z schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nc7aea40b6a63489fa4a8ece7fe1a54aa
4 schema:citation sg:pub.10.1007/s11920-004-0007-y
5 sg:pub.10.1007/s40120-013-0006-1
6 sg:pub.10.1186/s12916-017-0972-8
7 https://doi.org/10.1001/archinte.166.10.1092
8 https://doi.org/10.1002/mpr.47
9 https://doi.org/10.1002/mpr.79
10 https://doi.org/10.1016/j.accinf.2010.12.002
11 https://doi.org/10.1016/j.cpr.2012.05.007
12 https://doi.org/10.1016/j.cpr.2015.02.003
13 https://doi.org/10.1016/j.jad.2008.06.026
14 https://doi.org/10.1016/j.jbi.2008.08.010
15 https://doi.org/10.1016/j.jpsychores.2005.10.020
16 https://doi.org/10.1016/j.jrp.2010.11.003
17 https://doi.org/10.1016/j.jvoice.2016.06.006
18 https://doi.org/10.1016/j.sleep.2013.11.078
19 https://doi.org/10.1016/j.socscimed.2013.09.013
20 https://doi.org/10.1016/s0191-8869(02)00331-8
21 https://doi.org/10.1016/s0895-4356(96)00236-3
22 https://doi.org/10.1017/s0033291703001843
23 https://doi.org/10.1017/s0033291708004947
24 https://doi.org/10.1017/s0033291716002312
25 https://doi.org/10.1017/s2045796011000345
26 https://doi.org/10.1027/1015-5759.23.4.258
27 https://doi.org/10.1037/a0032223
28 https://doi.org/10.1037/ccp0000050
29 https://doi.org/10.1080/07420528.2017.1413578
30 https://doi.org/10.1093/ijnp/pyv076
31 https://doi.org/10.1097/01.jom.0000126684.82825.0a
32 https://doi.org/10.1111/j.1530-0277.2000.tb02037.x
33 https://doi.org/10.1111/j.1600-0447.1990.tb01360.x
34 https://doi.org/10.1126/scitranslmed.aaa3487
35 https://doi.org/10.1136/eb-2017-102763
36 https://doi.org/10.1145/2661806.2661809
37 https://doi.org/10.1146/annurev-clinpsy-032816-044949
38 https://doi.org/10.1176/appi.ajp.163.1.28
39 https://doi.org/10.1192/bjp.177.39.s28
40 https://doi.org/10.1192/bjp.180.5.461
41 https://doi.org/10.1207/s15327590ijhc143&4_11
42 https://doi.org/10.1521/jscp.2017.36.4.300
43 https://doi.org/10.2196/10480
44 https://doi.org/10.2196/11325
45 https://doi.org/10.2196/11734
46 https://doi.org/10.2196/jmir.7006
47 https://doi.org/10.2196/resprot.5763
48 https://doi.org/10.2307/25148867
49 https://doi.org/10.3109/09638237.2015.1019054
50 https://doi.org/10.4088/jcp.09m05663gry
51 https://doi.org/10.4088/jcp.13r08710
52 schema:datePublished 2019-12
53 schema:datePublishedReg 2019-12-01
54 schema:description BACKGROUND: There is a growing body of literature highlighting the role that wearable and mobile remote measurement technology (RMT) can play in measuring symptoms of major depressive disorder (MDD). Outcomes assessment typically relies on self-report, which can be biased by dysfunctional perceptions and current symptom severity. Predictors of depressive relapse include disrupted sleep, reduced sociability, physical activity, changes in mood, prosody and cognitive function, which are all amenable to measurement via RMT. This study aims to: 1) determine the usability, feasibility and acceptability of RMT; 2) improve and refine clinical outcome measurement using RMT to identify current clinical state; 3) determine whether RMT can provide information predictive of depressive relapse and other critical outcomes. METHODS: RADAR-MDD is a multi-site prospective cohort study, aiming to recruit 600 participants with a history of depressive disorder across three sites: London, Amsterdam and Barcelona. Participants will be asked to wear a wrist-worn activity tracker and download several apps onto their smartphones. These apps will be used to either collect data passively from existing smartphone sensors, or to deliver questionnaires, cognitive tasks, and speech assessments. The wearable device, smartphone sensors and questionnaires will collect data for up to 2-years about participants' sleep, physical activity, stress, mood, sociability, speech patterns, and cognitive function. The primary outcome of interest is MDD relapse, defined via the Inventory of Depressive Symptomatology- Self-Report questionnaire (IDS-SR) and the World Health Organisation's self-reported Composite International Diagnostic Interview (CIDI-SF). DISCUSSION: This study aims to provide insight into the early predictors of major depressive relapse, measured unobtrusively via RMT. If found to be acceptable to patients and other key stakeholders and able to provide clinically useful information predictive of future deterioration, RMT has potential to change the way in which depression and other long-term conditions are measured and managed.
55 schema:genre research_article
56 schema:inLanguage en
57 schema:isAccessibleForFree true
58 schema:isPartOf N1d9a154e04ab4479a4126414ad845815
59 Ncf3b53e3e0dd44b58b3388e193ae0a7d
60 sg:journal.1024952
61 schema:name Remote assessment of disease and relapse in major depressive disorder (RADAR-MDD): a multi-centre prospective cohort study protocol
62 schema:pagination 72
63 schema:productId N0097604be09d4ff5b348df3850327f06
64 N38a00a1fbaa24ecaaead8fb023340b68
65 N4e5140cb63b54a2d8f34847f6dd6c4f1
66 N529deb8a5fec43cb8c0f4921cf0520dd
67 Ne16e4db41f2140ea94824ed049e9cdb2
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112218530
69 https://doi.org/10.1186/s12888-019-2049-z
70 schema:sdDatePublished 2019-04-11T10:28
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher Nfb6b6ca426b443d1be50aa1abef33dd4
73 schema:url https://link.springer.com/10.1186%2Fs12888-019-2049-z
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N0097604be09d4ff5b348df3850327f06 schema:name readcube_id
78 schema:value ae2ffd1b5e81efc540b9b0d13b515261fa82a51a0557acb749cc148d0a71a85d
79 rdf:type schema:PropertyValue
80 N17075e40144a4da9a5698612d6d862fe schema:affiliation https://www.grid.ac/institutes/grid.497530.c
81 schema:familyName Li
82 schema:givenName Q.
83 rdf:type schema:Person
84 N1996720e73fd441b81e86f21b1e7b217 schema:affiliation https://www.grid.ac/institutes/grid.5596.f
85 schema:familyName Rintala
86 schema:givenName A.
87 rdf:type schema:Person
88 N1d9a154e04ab4479a4126414ad845815 schema:issueNumber 1
89 rdf:type schema:PublicationIssue
90 N1f7c93afeb7d495482efd43268b48314 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
91 schema:familyName Wykes
92 schema:givenName T.
93 rdf:type schema:Person
94 N2160a36f33b340a59ae7e090980afd98 schema:affiliation https://www.grid.ac/institutes/grid.16872.3a
95 schema:familyName Lamers
96 schema:givenName F.
97 rdf:type schema:Person
98 N21b10f14aece4041aea9c71391c0d433 rdf:first Na6ea97ff2b414f34a1514e32aa18858a
99 rdf:rest Nf32d8d2affa64d6b8a304b6a45965ab5
100 N27b59f3439b1465385f40180489e873c rdf:first N56aa2c8ac7c94f8a8412d835b0b53a7d
101 rdf:rest N405dc29aca084115a24f9bd7f4e9af95
102 N2b0d6763bc154793931a2319ed4153ba schema:affiliation https://www.grid.ac/institutes/grid.5841.8
103 schema:familyName Haro
104 schema:givenName J. M.
105 rdf:type schema:Person
106 N2c15ea305801469caa09af68f01eb462 schema:affiliation https://www.grid.ac/institutes/grid.16753.36
107 schema:familyName Mohr
108 schema:givenName D. C.
109 rdf:type schema:Person
110 N3538caedd0494632bec01776ef25dcf8 schema:affiliation https://www.grid.ac/institutes/grid.419422.8
111 schema:familyName Bulgari
112 schema:givenName V.
113 rdf:type schema:Person
114 N357306b928384c84975eb1566785990a rdf:first N2c15ea305801469caa09af68f01eb462
115 rdf:rest N27b59f3439b1465385f40180489e873c
116 N383c8970be424bb29f2228aba103ca6f schema:affiliation https://www.grid.ac/institutes/grid.497530.c
117 schema:familyName Narayan
118 schema:givenName V.
119 rdf:type schema:Person
120 N38a00a1fbaa24ecaaead8fb023340b68 schema:name nlm_unique_id
121 schema:value 100968559
122 rdf:type schema:PropertyValue
123 N405dc29aca084115a24f9bd7f4e9af95 rdf:first N383c8970be424bb29f2228aba103ca6f
124 rdf:rest N4d70ddcafa554e03a64e24776ce13bef
125 N488c2fef13834c44a9304b67e9da710a rdf:first N2160a36f33b340a59ae7e090980afd98
126 rdf:rest N495b6b1273cf4051b91856581b33041e
127 N491b52d0a1c448c481cad961b8bb117a rdf:first Nf70f8f53ff134ce8950336fba3472dd0
128 rdf:rest Nfc065cd99cba4071a29f13b5e2ce948a
129 N495b6b1273cf4051b91856581b33041e rdf:first N17075e40144a4da9a5698612d6d862fe
130 rdf:rest N5d5034daca6344448aa76b82b78bb4c3
131 N4d70ddcafa554e03a64e24776ce13bef rdf:first N9d3b1a39d31c479d9a12ac9660985200
132 rdf:rest Ndecc0cff4470497d9fe73d7bf16f4b48
133 N4e5140cb63b54a2d8f34847f6dd6c4f1 schema:name dimensions_id
134 schema:value pub.1112218530
135 rdf:type schema:PropertyValue
136 N529deb8a5fec43cb8c0f4921cf0520dd schema:name pubmed_id
137 schema:value 30777041
138 rdf:type schema:PropertyValue
139 N56aa2c8ac7c94f8a8412d835b0b53a7d schema:affiliation https://www.grid.ac/institutes/grid.5596.f
140 schema:familyName Myin-Germeys
141 schema:givenName I.
142 rdf:type schema:Person
143 N58b87646c06944da98ca11172f4f155e schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
144 schema:familyName Folarin
145 schema:givenName A. A.
146 rdf:type schema:Person
147 N5d5034daca6344448aa76b82b78bb4c3 rdf:first N85995f5074a440e09bc7d0b552ac495d
148 rdf:rest N357306b928384c84975eb1566785990a
149 N600bd4ee898b486ebf9b218e416ec500 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
150 schema:familyName Dobson
151 schema:givenName R.
152 rdf:type schema:Person
153 N60317d90d9f34bb6b8e313ef95c2404f schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
154 schema:familyName Matcham
155 schema:givenName F.
156 rdf:type schema:Person
157 N6a924514c7ce4b78b213f25047cd52d4 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
158 schema:familyName Simblett
159 schema:givenName S. K.
160 rdf:type schema:Person
161 N6d2be3be1fcb4bec8e96b96aa504661f schema:familyName on behalf of the RADAR-CNS consortium
162 rdf:type schema:Person
163 N7a44e44eaa704f0f9c08882519bd571b rdf:first N975f0ea5386149db87e1183af6e747dd
164 rdf:rest Na46f6ebd8885482287cb7bfaeff2635d
165 N7ac95af1f94d4e47af5b340e487af4ec rdf:first Na3d0513af2674b849ec92953e3525a8a
166 rdf:rest Nd76a20af003946e5a460433c91e9c7a9
167 N85995f5074a440e09bc7d0b552ac495d schema:affiliation https://www.grid.ac/institutes/grid.419619.2
168 schema:familyName Manyakov
169 schema:givenName N. V.
170 rdf:type schema:Person
171 N8632a24aa4cc46f99a14b65258900ff1 rdf:first Nf1613237360348caabaf70785807887a
172 rdf:rest N488c2fef13834c44a9304b67e9da710a
173 N975f0ea5386149db87e1183af6e747dd schema:affiliation https://www.grid.ac/institutes/grid.419422.8
174 schema:familyName de Girolamo
175 schema:givenName G.
176 rdf:type schema:Person
177 N9d3b1a39d31c479d9a12ac9660985200 schema:affiliation https://www.grid.ac/institutes/grid.16872.3a
178 schema:familyName BWJH
179 schema:givenName Penninx
180 rdf:type schema:Person
181 N9dca176c4ded4d5d803b8a846c727ead schema:affiliation https://www.grid.ac/institutes/grid.424580.f
182 schema:familyName Eriksson
183 schema:givenName H.
184 rdf:type schema:Person
185 Na2fd39d199724a67913c954d3cd89b32 rdf:first N58b87646c06944da98ca11172f4f155e
186 rdf:rest Nfb3283f7ef214e87b2b01f0229131f1c
187 Na3d0513af2674b849ec92953e3525a8a schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
188 schema:familyName Hotopf
189 schema:givenName M.
190 rdf:type schema:Person
191 Na46f6ebd8885482287cb7bfaeff2635d rdf:first N600bd4ee898b486ebf9b218e416ec500
192 rdf:rest Ne520f4b07430462a80e3984fe00e9f3b
193 Na5574c8d05a7401498ca6530bbfa4a24 rdf:first Nf6f4f54f35814bb496e85a466a27806b
194 rdf:rest Nb2a9e7cd784c45eabd864798f2f68ed1
195 Na6ea97ff2b414f34a1514e32aa18858a schema:affiliation https://www.grid.ac/institutes/grid.5841.8
196 schema:familyName Siddi
197 schema:givenName S.
198 rdf:type schema:Person
199 Nab06442ba97741ed8af54604376c915e schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
200 schema:familyName Ranjan
201 schema:givenName Y.
202 rdf:type schema:Person
203 Nb2a9e7cd784c45eabd864798f2f68ed1 rdf:first N3538caedd0494632bec01776ef25dcf8
204 rdf:rest N7a44e44eaa704f0f9c08882519bd571b
205 Nc7aea40b6a63489fa4a8ece7fe1a54aa rdf:first N60317d90d9f34bb6b8e313ef95c2404f
206 rdf:rest Na5574c8d05a7401498ca6530bbfa4a24
207 Ncf3b53e3e0dd44b58b3388e193ae0a7d schema:volumeNumber 19
208 rdf:type schema:PublicationVolume
209 Nd76a20af003946e5a460433c91e9c7a9 rdf:first N6d2be3be1fcb4bec8e96b96aa504661f
210 rdf:rest rdf:nil
211 Ndecc0cff4470497d9fe73d7bf16f4b48 rdf:first Nab06442ba97741ed8af54604376c915e
212 rdf:rest N491b52d0a1c448c481cad961b8bb117a
213 Ne16e4db41f2140ea94824ed049e9cdb2 schema:name doi
214 schema:value 10.1186/s12888-019-2049-z
215 rdf:type schema:PropertyValue
216 Ne38143152eef4fffb5d4e30d9f7834f3 rdf:first N1f7c93afeb7d495482efd43268b48314
217 rdf:rest N7ac95af1f94d4e47af5b340e487af4ec
218 Ne520f4b07430462a80e3984fe00e9f3b rdf:first N9dca176c4ded4d5d803b8a846c727ead
219 rdf:rest Na2fd39d199724a67913c954d3cd89b32
220 Nf1613237360348caabaf70785807887a schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
221 schema:familyName Kerz
222 schema:givenName M.
223 rdf:type schema:Person
224 Nf32d8d2affa64d6b8a304b6a45965ab5 rdf:first N6a924514c7ce4b78b213f25047cd52d4
225 rdf:rest Ne38143152eef4fffb5d4e30d9f7834f3
226 Nf6f4f54f35814bb496e85a466a27806b schema:affiliation https://www.grid.ac/institutes/grid.7563.7
227 schema:familyName Barattieri di San Pietro
228 schema:givenName C.
229 rdf:type schema:Person
230 Nf70f8f53ff134ce8950336fba3472dd0 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
231 schema:familyName Rashid
232 schema:givenName Z.
233 rdf:type schema:Person
234 Nfb3283f7ef214e87b2b01f0229131f1c rdf:first N2b0d6763bc154793931a2319ed4153ba
235 rdf:rest N8632a24aa4cc46f99a14b65258900ff1
236 Nfb6b6ca426b443d1be50aa1abef33dd4 schema:name Springer Nature - SN SciGraph project
237 rdf:type schema:Organization
238 Nfc065cd99cba4071a29f13b5e2ce948a rdf:first N1996720e73fd441b81e86f21b1e7b217
239 rdf:rest N21b10f14aece4041aea9c71391c0d433
240 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
241 schema:name Medical and Health Sciences
242 rdf:type schema:DefinedTerm
243 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
244 schema:name Clinical Sciences
245 rdf:type schema:DefinedTerm
246 sg:journal.1024952 schema:issn 1471-244X
247 schema:name BMC Psychiatry
248 rdf:type schema:Periodical
249 sg:pub.10.1007/s11920-004-0007-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1009714164
250 https://doi.org/10.1007/s11920-004-0007-y
251 rdf:type schema:CreativeWork
252 sg:pub.10.1007/s40120-013-0006-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021673346
253 https://doi.org/10.1007/s40120-013-0006-1
254 rdf:type schema:CreativeWork
255 sg:pub.10.1186/s12916-017-0972-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099597278
256 https://doi.org/10.1186/s12916-017-0972-8
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1001/archinte.166.10.1092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000765559
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1002/mpr.47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032138273
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1002/mpr.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038284636
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1016/j.accinf.2010.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020225113
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1016/j.cpr.2012.05.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052359697
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1016/j.cpr.2015.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033468630
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/j.jad.2008.06.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033408012
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/j.jbi.2008.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039152312
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1016/j.jpsychores.2005.10.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051517875
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1016/j.jrp.2010.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013644784
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1016/j.jvoice.2016.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019975348
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1016/j.sleep.2013.11.078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032512782
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1016/j.socscimed.2013.09.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042015452
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1016/s0191-8869(02)00331-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037124695
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1016/s0895-4356(96)00236-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048737616
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1017/s0033291703001843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053840867
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1017/s0033291708004947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053793259
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1017/s0033291716002312 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053964625
293 rdf:type schema:CreativeWork
294 https://doi.org/10.1017/s2045796011000345 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006827032
295 rdf:type schema:CreativeWork
296 https://doi.org/10.1027/1015-5759.23.4.258 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056344267
297 rdf:type schema:CreativeWork
298 https://doi.org/10.1037/a0032223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027526311
299 rdf:type schema:CreativeWork
300 https://doi.org/10.1037/ccp0000050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031992917
301 rdf:type schema:CreativeWork
302 https://doi.org/10.1080/07420528.2017.1413578 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099665744
303 rdf:type schema:CreativeWork
304 https://doi.org/10.1093/ijnp/pyv076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006415397
305 rdf:type schema:CreativeWork
306 https://doi.org/10.1097/01.jom.0000126684.82825.0a schema:sameAs https://app.dimensions.ai/details/publication/pub.1000975170
307 rdf:type schema:CreativeWork
308 https://doi.org/10.1111/j.1530-0277.2000.tb02037.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008299688
309 rdf:type schema:CreativeWork
310 https://doi.org/10.1111/j.1600-0447.1990.tb01360.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005019138
311 rdf:type schema:CreativeWork
312 https://doi.org/10.1126/scitranslmed.aaa3487 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062688661
313 rdf:type schema:CreativeWork
314 https://doi.org/10.1136/eb-2017-102763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092329859
315 rdf:type schema:CreativeWork
316 https://doi.org/10.1145/2661806.2661809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003331290
317 rdf:type schema:CreativeWork
318 https://doi.org/10.1146/annurev-clinpsy-032816-044949 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084512021
319 rdf:type schema:CreativeWork
320 https://doi.org/10.1176/appi.ajp.163.1.28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063496944
321 rdf:type schema:CreativeWork
322 https://doi.org/10.1192/bjp.177.39.s28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044746265
323 rdf:type schema:CreativeWork
324 https://doi.org/10.1192/bjp.180.5.461 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032912069
325 rdf:type schema:CreativeWork
326 https://doi.org/10.1207/s15327590ijhc143&4_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064218406
327 rdf:type schema:CreativeWork
328 https://doi.org/10.1521/jscp.2017.36.4.300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085302514
329 rdf:type schema:CreativeWork
330 https://doi.org/10.2196/10480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103938651
331 rdf:type schema:CreativeWork
332 https://doi.org/10.2196/11325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107717803
333 rdf:type schema:CreativeWork
334 https://doi.org/10.2196/11734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110489701
335 rdf:type schema:CreativeWork
336 https://doi.org/10.2196/jmir.7006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090888414
337 rdf:type schema:CreativeWork
338 https://doi.org/10.2196/resprot.5763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047460115
339 rdf:type schema:CreativeWork
340 https://doi.org/10.2307/25148867 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102515524
341 rdf:type schema:CreativeWork
342 https://doi.org/10.3109/09638237.2015.1019054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035408012
343 rdf:type schema:CreativeWork
344 https://doi.org/10.4088/jcp.09m05663gry schema:sameAs https://app.dimensions.ai/details/publication/pub.1072204775
345 rdf:type schema:CreativeWork
346 https://doi.org/10.4088/jcp.13r08710 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072205961
347 rdf:type schema:CreativeWork
348 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
349 schema:name King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
350 rdf:type schema:Organization
351 https://www.grid.ac/institutes/grid.16753.36 schema:alternateName Northwestern University
352 schema:name Center for Behavioral Intervention Technologies, Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
353 rdf:type schema:Organization
354 https://www.grid.ac/institutes/grid.16872.3a schema:alternateName VU University Medical Center
355 schema:name Department of Psychiatry and Amsterdam Public Health Research Institute, VU University Medical Centre, Amsterdam, The Netherlands
356 rdf:type schema:Organization
357 https://www.grid.ac/institutes/grid.419422.8 schema:alternateName Centro San Giovanni di Dio Fatebenefratelli
358 schema:name IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
359 rdf:type schema:Organization
360 https://www.grid.ac/institutes/grid.419619.2 schema:alternateName Janssen (Belgium)
361 schema:name Janssen Research and Development, LLC, Beerse, Belgium
362 rdf:type schema:Organization
363 https://www.grid.ac/institutes/grid.424580.f schema:alternateName Lundbeck (Denmark)
364 schema:name H. Lundbeck A/S, Valby, Denmark
365 rdf:type schema:Organization
366 https://www.grid.ac/institutes/grid.497530.c schema:alternateName Janssen (United States)
367 schema:name Janssen Research and Development, LLC, Titusville, NJ, USA
368 rdf:type schema:Organization
369 https://www.grid.ac/institutes/grid.5596.f schema:alternateName KU Leuven
370 schema:name Department for Neurosciences, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
371 rdf:type schema:Organization
372 https://www.grid.ac/institutes/grid.5841.8 schema:alternateName University of Barcelona
373 schema:name Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
374 rdf:type schema:Organization
375 https://www.grid.ac/institutes/grid.7563.7 schema:alternateName University of Milano-Bicocca
376 schema:name IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
377 Univeristy of Milan-Bicocca, Milan, Italy
378 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...