Depression Clinical Trial
Official title:
Combining Internet-Delivered Cognitive Behavioral Therapy and Attention Bias Modification for Depression in Firefighters
NCT number | NCT05741684 |
Other study ID # | XF001 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | April 1, 2022 |
Est. completion date | December 1, 2022 |
Verified date | February 2023 |
Source | Adai Technology (Beijing) Co., Ltd. |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The study aimed to examine the impact of a combined internet-delivered Cognitive Behavioral Therapy (iCBT) and Attention Bias Modification (ABM) intervention to reduce depressive symptoms in firefighters. The study was a randomized controlled trial carried out in Kunming, China, and involved the recruitment of 138 active firefighters as participants. The intervention lasted for an 8-week duration, during which participants participated in ABM exercises on alternating days and concurrently underwent four modules of iCBT courses delivered through a smartphone application.
Status | Completed |
Enrollment | 138 |
Est. completion date | December 1, 2022 |
Est. primary completion date | June 30, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 50 Years |
Eligibility | Inclusion Criteria: - being an active firefighter and aged between 18 and 50 - having a score greater than zero on the Patient Health Questionnaire-9 (PHQ-9) - with no history of severe depression Exclusion Criteria: - having suicidal ideation or intent - having an active psychotic disorder other than depression - prior participation in a cognitive-behavioral intervention - concurrent participation in another study. |
Country | Name | City | State |
---|---|---|---|
China | Kunming Training Corps of the National Fire and Rescue Administration | Kunming | Yunnan |
Lead Sponsor | Collaborator |
---|---|
Adai Technology (Beijing) Co., Ltd. | Kungming Training Corps of National Fire and Rescue Administration |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Patient Health Questionnaire-9 | The Patient Health Questionnaire-9 (PHQ-9) was utilized to assess symptoms of depression. The PHQ-9 is a self-report questionnaire comprising 9 items, with a score range of 0-27, measuring depression-related symptoms experienced in the past two weeks | Baseline | |
Primary | Patient Health Questionnaire-9 | The Patient Health Questionnaire-9 (PHQ-9) was utilized to assess symptoms of depression. The PHQ-9 is a self-report questionnaire comprising 9 items, with a score range of 0-27, measuring depression-related symptoms experienced in the past two weeks | Immediately Post-intervention | |
Primary | Attention Bias Score | To quantify attention bias, response times (RTs) were analyzed in accordance with the established procedure to calculate the attention bias score (ABS). Trials characterized by inaccurate responses or RTs of exceptional brevity (<150ms) or prolonged duration (>1200ms) were disregarded. The computation of attention bias entailed determining the discrepancy between the mean RT in response to relatively positive stimuli and the mean RT in response to relatively negative stimuli. A preference for happy faces was indicated by an average RT for happy facial expressions that were shorter than the average RT for neutral or sad facial expressions. | Baseline | |
Primary | Attention Bias Score | To quantify attention bias, response times (RTs) were analyzed in accordance with the established procedure to calculate the attention bias score (ABS). Trials characterized by inaccurate responses or RTs of exceptional brevity (<150ms) or prolonged duration (>1200ms) were disregarded. The computation of attention bias entailed determining the discrepancy between the mean RT in response to relatively positive stimuli and the mean RT in response to relatively negative stimuli. A preference for happy faces was indicated by an average RT for happy facial expressions that were shorter than the average RT for neutral or sad facial expressions. | Immediately Post-intervention | |
Primary | Attention Bias Variability | To quantify attention-bias variability (ABV), the experimental data were divided into 8 segments, and attention-bias scores were computed for each segment. Subsequently, the standard deviation of attention-bias scores across segments was determined, and this value was divided by all trials ABS to account for ABS variability. | Baseline | |
Primary | Attention Bias Variability | To quantify attention-bias variability (ABV), the experimental data were divided into 8 segments, and attention-bias scores were computed for each segment. Subsequently, the standard deviation of attention-bias scores across segments was determined, and this value was divided by all trials ABS to account for ABS variability. | Immediately Post-intervention |
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