Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Florida State University | OTHER |
Not provided
Not provided
Not provided
The purpose of this research is to see if information from blood and data from smartwatches can be combined to help diagnose depression and determine if transitions between active depression and treated depression can be predicted.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Non-depressed controls | Subjects without depression will fill out questionnaires about their general health and wellbeing, quality of life, mental health, emotional health, suicide risk, support system, and childhood experiences. Smartwatch data will also be collected to monitor step count, sleep quality, heart rate (resting and active), and activity rates. | ||
| Antidepressant-treated adults | Subjects diagnosed with depression will fill out questionnaires about their general health and wellbeing, quality of life, mental health, emotional health, suicide risk, support system, and childhood experiences. Smartwatch data will also be collected to monitor step count, sleep quality, heart rate (resting and active), and activity rates. |
Not provided
| Measure | Description | Time Frame |
|---|---|---|
| Change in Quick Inventory of Depressive Symptoms-Clinician Rated (QIDS-CR) scale | The Quick Inventory of Depressive Symptoms-Clinician Rated is used for rating the severity of depressive symptoms. Possible scores range from 0 to 27, with higher scores indicating greater severity of depression. | Baseline, 4 weeks, and 8 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Hamilton Depression Rating Scale | The Hamilton Depression Rating Scale is used for rating the severity of depressive symptoms. Possible scores range from 0 to 50, with higher scores indicating greater severity of depression. | Baseline, 4 weeks, and 8 weeks |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Subjects will be recruited from an ongoing cohort study at Mayo Florida "Wearable Augmented Prediction of Burnout in Nurses: A Synergy of Engineering, Bioethics, Nursing and Wellness Sciences" (BROWNIE Study)
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Mohit Chauhan, MBBS | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic Florida | Jacksonville | Florida | 32224 | United States |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003865 | Depressive Disorder, Major |
| ID | Term |
|---|---|
| D003866 | Depressive Disorder |
| D019964 | Mood Disorders |
| D001523 | Mental Disorders |
Not provided
Not provided
Not provided
Not provided
Not provided
This study will collect 20 mL of blood for biomarker discovery efforts. Specifically, this study will collect and store blood samples that will be used in the future to derive C-reactive protein (CRP) levels, genome-wide genomics, proteomics, metabolomics, and exposomics.