An Emoji-based Attention Bias Modification Intervention for Depressive Symptom Severity in Young Adults
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 120
- 主要终点
- Attention Bias Index
研究概览
简要总结
Globally, the rates of young adults and college students reporting symptoms of depression have been rising over the past decade. There are major obstacles being faced in mental healthcare that prevents many individuals from receiving sufficient and quality mental healthcare services. Current treatments for depression are not able to target the underlying factors causing the disorder. In addition, individuals with depressive symptoms face issues with accessibility and social stigma. Hence, there has been increasing interest in behavioural and cognitive mental health interventions with the potential for remote applications. This study aims to evaluate the feasibility and acceptability of using an emoji-based attention bias modification training paradigm on depressive symptom severity compared with a deep breathing practice protocol, a sham training protocol and a control group. It is expected that participants who undergo the attention bias modification training and deep breathing training paradigms will have reduced depressive symptom scores, changes in attention bias indices, and changes in event-related potential component measures compared to participants who did not undergo the interventions.
详细描述
Depression is a common mental health disorder and is a major cause of disability worldwide. Despite the wide range of treatments currently available, many individuals with depression do not acquire treatment for the disorder. Some patients are concerned about possible negative effects of antidepressants, although there is also a high rate of discontinuation among patients on antidepressant regimens. Relapse is a common occurrence, where at least 50% of the patients who recover from the first episode of depression will experience at least one more depressive episode. The consistent preference for psychological treatments over medication gives particular relevance to research aimed at developing suitable behavioral and psychological treatments for depression.
Digital mental health interventions could potentially improve access to mental health services and help overcome the stigma associated with seeking traditional mental health services. Vulnerable young people, especially individuals in rural or low-resource areas and marginalized communities face unequal access to mental health services. In contrast, there is an unprecedented surge in access to digital technology platforms and mobile devices among young adults worldwide. The mental healthcare access gap can be addressed by the opportunities provided by digital technology to provide better care for youth and young adults. The young adult demographic is a critical target group because it is the group with the highest incidence and prevalence of mood disorders. Many people often find it challenging to communicate about mental health issues, but if left unresolved, these issues can lead to deterioration of mental well-being.
A growing majority of young adults have access to mobile devices and the Internet. Meta-analyses of computerized and Internet-based treatments for depression found that they significantly reduced depressive symptoms compared to control groups. However, some methodological limitations were reported by the analyses, such as lack of follow-up testing, skewed post-intervention data, and lack of participant feedback. A review by Lamb et al. (2019) on the efficacy and practicality of remote psychotherapy for depression and anxiety disorders, reported that interventions that were administered over the telephone, through video-conferencing, or online were generally effective. Remote psychotherapy was reported to improve accessibility and convenience, especially for individuals living in rural and remote areas or individuals with limited mobility.
The dot-probe paradigm is a behavioral task widely employed to measure attention and perception biases. The task can be adapted in different ways to accommodate the investigation of various conditions such as generalized anxiety disorders, eating disorders, and substance use disorders. In the dot-probe task, two stimuli appear on a screen simultaneously in two separate spatial locations. One of the stimuli has an emotional valence, while the other is neutral. The stimuli then are removed, and a dot-probe appears in one of the locations where the stimuli were previously displayed. The subject's response times are recorded and a faster response to the probe when it appears in the previous location of a threatening stimulus is interpreted as vigilance for threat, indicating attentional bias.
Individuals suffering from emotional disorders exhibit negative attentional biases. Notably, this negative attention bias can also be present in non-depressed individuals with high risk of developing depression, as well as individuals who have recovered from episodes of depression. In general, studies on healthy adults show that the prefrontal cortex plays a role in response inhibition, specifically the right inferior frontal cortex region. When presented with competing stimuli, certain responses need to be inhibited in order to make a decision. In the case of attention biases, the lateral prefrontal cortex contributes by modulating responses to emotional information. Deficits in response inhibition result in a bias towards certain emotional information.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Single (Participant)
入排标准
- 年龄范围
- 18 Years 至 30 Years(Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Aged between 18 and 30 years old
- •Give informed consent
排除标准
- •Past or present diagnosis of other major psychiatric disorders (e.g., suicidality, substance dependence, psychosis)
- •Recently started psychotropic or medical prescriptions within the previous two weeks
- •Visual impairments that cannot be corrected with contact lenses or glasses
结局指标
主要结局
Attention Bias Index
时间窗: Up to 14 days
The participant response times from the ABM task will be collected and used to obtain an attention bias index which is calculated using the formula: Attention bias index = ½ \[RpLe - RpRe) + (LpRe - LpLe)\] where R is right position, L is left position, p is the position of the probe, and e is the position of the emotional (positive/negative) stimulus. A positive score indicates a bias toward emotional stimuli, while a negative score indicates a bias away from emotional stimuli. A score of 0 indicates no bias in either direction. The higher the score value, the stronger the bias.
Change from Baseline Patient Health Questionnaire-9 (PHQ-9) Score at 14 days
时间窗: Baseline and Day 14
The PHQ-9 is a self-administered instrument for screening and monitoring the severity of depression. The PHQ-9 uses the following scale: a score of 0 to 4 indicates a severity of "None", 5 to 9 indicates "Mild", 10 to 14 indicates "Moderate', 15 to 19 indicates "Moderately Severe", and 20 to 27 indicates "Severe".
Post-Intervention Event-related Potentials
时间窗: Day 14
Participants' EEG signal will be obtained using a 32-channel EEG system. EEG power in all bands and the event-related potential waveform will be extracted from the signal. ERP measures are widely adopted as an objective measure of the time course of attention during the dot-probe task.
Change from Baseline Depression, Anxiety and Stress Scale-21 (DASS-21) Score at 14 days
时间窗: Baseline and Day 14
The DASS-21 is a questionnaire designed to assess the dimensions of depression, anxiety and stress. It consists of 21 self-report items. Depression severity is measured on the DASS-21 as follows: a score of 0 to 4 is labelled "Normal", 5 to 6 is "Mild", 7 to 10 is "Moderate", 11 to 13 is "Severe", and 14 and above is "Extremely Severe".
次要结局
- Heart Rate Variability(Day 1, Day 14)
- Pre-Intervention Event-Related Potentials(Baseline)
- Hair Cortisol(Day 1)
研究者
Poh Foong Lee, PhD
Assistant Professor
Universiti Tunku Abdul Rahman
