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Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health.
16 references·16 citing·43 second hopsampled
Next-generation psychiatric assessment: Using smartphone sensors to monitor behavior and mental health. (2015)Next-generation psychiatric assessment: U…StudentLife (2014)StudentLifeFeasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia (2014)Feasibility, Acceptability, a…Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: a randomised controlled trial (2013)Impact of a mobile phone and …Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Ma…Sleep Disturbances as the Hallmark of PTSD: Where Are We Now? (2012)Sleep Disturbances as the Hal…Mobile Technologies Among People with Serious Mental Illness: Opportunities for Future Services (2012)Mobile Technologies Among Peo…Depression as a disease of modernity: Explanations for increasing prevalence (2012)Depression as a disease of mo…Ambulatory Assessment (2012)Ambulatory AssessmentmHealth for mental health: Integrating smartphone technology in behavioral healthcare. (2011)mHealth for mental health: In…Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)Harnessing Context Sensing to…Loneliness Matters: A Theoretical and Empirical Review of Consequences and Mechanisms (2010)Loneliness Matters: A Theoret…Ecological Momentary Assessment (2007)Ecological Momentary Assessme…The PHQ-9 (2001)The PHQ-9Validation and Utility of a Self-report Version of PRIME-MD The PHQ Primary Care Study (1999)Validation and Utility of a S…A Global Measure of Perceived Stress (1983)A Global Measure of Perceived…The revised UCLA Loneliness Scale: Concurrent and discriminant validity evidence. (1980)The revised UCLA Loneliness S…GLOBEM (2022)GLOBEMEthics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review (2021)Ethics and Law in Research on…Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing (2021)Detecting Depression and Pred…Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones (2020)Passive Sensing of Prediction…Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students (2019)Leveraging Routine Behavior a…Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook (2019)Detecting relapse in youth wi…Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone (2019)Depression Prediction by Usin…Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review (2018)Correlations Between Objectiv…Big data in psychology: A framework for research advancement. (2018)Big data in psychology: A fra…Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale (2017)Immediate Mood Scaler: Tracki…Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep (2017)Feeling validated yet? A scop…DeepMood (2017)DeepMoodCrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse. (2017)CrossCheck: Integrating self-…A Social Media Based Index of Mental Well-Being in College Campuses (2017)A Social Media Based Index of…Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia (2015)Mobile Behavioral Sensing for…Virtual reality exposure therapy for social anxiety disorder: A randomized controlled trial. (2013)Virtual reality exposure ther…Organizational Stress: Studies in Role Conflict and Ambiguity. 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(1988)Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning (2017)Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study (2020)Practical Meta-Analysis (2000)A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method (2004)Loneliness and Social Isolation as Risk Factors for Mortality (2015)An overview of systematic reviews on the public health consequences of social isolation and loneliness (2017)Using social and behavioural science to support COVID-19 pandemic response (2020)mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care (2013)The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. 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References

  • 2013Diagnostic and Statistical Manual of Mental Disorders109,522 cited
  • 2001The PHQ-944,795 cited
  • 1983A Global Measure of Perceived Stress32,743 cited
  • 1999Validation and Utility of a Self-report Version of PRIME-MD The PHQ Primary Care Study9,795 cited
  • 2007Ecological Momentary Assessment6,416 cited
  • 1980The revised UCLA Loneliness Scale: Concurrent and discriminant validity evidence.5,171 cited
  • 2010Loneliness Matters: A Theoretical and Empirical Review of Consequences and Mechanisms4,765 cited
  • 2014StudentLife1,117 cited
  • 2011mHealth for mental health: Integrating smartphone technology in behavioral healthcare.809 cited
  • 2012Depression as a disease of modernity: Explanations for increasing prevalence768 cited
  • 2012Ambulatory Assessment754 cited
  • 2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression646 cited
  • 2012Sleep Disturbances as the Hallmark of PTSD: Where Are We Now?634 cited
  • 2014Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia491 cited
  • 2013Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: a randomised controlled trial

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264 cited
  • 2012Mobile Technologies Among People with Serious Mental Illness: Opportunities for Future Services249 cited
  • Cited by

    • 2013Virtual reality exposure therapy for social anxiety disorder: A randomized controlled trial.370 cited
    • 2018Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review194 cited
    • 2017CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.187 cited
    • 2017Feeling validated yet? A scoping review of the use of consumer-targeted wearable and mobile technology to measure and improve sleep186 cited
    • 2017DeepMood163 cited
    • 2020Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones139 cited
    • 2021Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing136 cited
    • 2019Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone131 cited
    • 2019Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students127 cited
    • 2015Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia125 cited
    • 2018Big data in psychology: A framework for research advancement.122 cited
    • 2017A Social Media Based Index of Mental Well-Being in College Campuses115 cited
    • 2019Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook109 cited
    • 2021Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review100 cited
    • 2022GLOBEM94 cited
    • 2017Immediate Mood Scaler: Tracking Symptoms of Depression and Anxiety Using a Novel Mobile Mood Scale91 cited