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Smart phone technologies and ecological momentary data
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Smart phone technologies and ecological momentary data (2017)Smart phone technologies and ecological m…The relationship between chronotype and depressive symptoms: A meta-analysis (2017)The relationship between chro…Towards a Framework for Evaluating Mobile Mental Health Apps (2015)Towards a Framework for Evalu…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace (2015)Finding a Depression App: A R…Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress (2015)Breaking Open the Black Box: …Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial (2014)Effects of mental health self…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 …A mobile phone application for the assessment and management of youth mental health problems in primary care: health service outcomes from a randomised controlled trial of mobiletype (2013)A mobile phone application fo…Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial (2012)Self-monitoring Using Mobile …Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)Harnessing Context Sensing to…Acceptability and usability of a WeChat-based intervention for depression in China: A mixed-methods study (2024)Acceptability and usability o…Impact of a Digital Intervention for Literacy in Depression among Portuguese University Students: A Randomized Controlled Trial (2022)Impact of a Digital Intervent…Accessibility of mental health support in China and preferences on web-based services for mood disorders: A qualitative study (2021)Accessibility of mental healt…Integrating digital phenotyping in clinical characterization of individuals with mood disorders (2019)Integrating digital phenotypi…Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression (2019)Disruption of Neural Homeosta…Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)The WPA- Lancet Psychiatry Commission on the Future of Psychiatry (2017)Facebook language predicts depression in medical records (2018)Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review (2013)Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics (2014)Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions (2014)The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder (2017)Smartphone apps for depression and anxiety: a systematic review and meta-analysis of techniques to increase engagement (2021)Potential and Pitfalls of Mobile Mental Health Apps in Traditional Treatment: An Umbrella Review (2022)Transtheoretical therapy: Toward a more integrative model of change. 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References

  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression646 cited
  • 2012Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial404 cited
  • 2017The relationship between chronotype and depressive symptoms: A meta-analysis297 cited
  • 2015Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace282 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 trial264 cited
  • 2015Towards a Framework for Evaluating Mobile Mental Health Apps162 cited
  • 2014Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial138 cited
  • 2013A mobile phone application for the assessment and management of youth mental health problems in primary care: health service outcomes from a randomised controlled trial of mobiletype73 cited
  • 2015Breaking Open the Black Box: Isolating the Most Potent Features of a Web and Mobile Phone-Based Intervention for Depression, Anxiety, and Stress69 cited

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  • 2019Integrating digital phenotyping in clinical characterization of individuals with mood disorders66 cited
  • 2019Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression

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56 cited
  • 2021Accessibility of mental health support in China and preferences on web-based services for mood disorders: A qualitative study16 cited
  • 2022Impact of a Digital Intervention for Literacy in Depression among Portuguese University Students: A Randomized Controlled Trial11 cited
  • 2024Acceptability and usability of a WeChat-based intervention for depression in China: A mixed-methods study4 cited