T2 Mood Tracker Analysis

My Mood Monitor (M3) is a 27 question assessment tool use by healthcare professionals to assess patients with substance use disorders, mood and anxiety disorders, including Post-Traumatic Stress Disorder (PTSD). According to Gaynes et al., (2010) the M-3 demonstrates utility as a valid, efficient, and feasible tool for screening multiple common psychiatric illnesses, including bipolar disorder and PTSD, in primary care. The M3 combines screening tools such as the Patient Health Question (PHQ), Mood Disorder Questionnaire (MDQ), General Anxiety Disorder (GAD), and the Clinician Administered PTSD scale (CAPs) into one tool.

At the end of my day, I assessed my stress by answering three questions, did I feel worried, overwhelmed and depressed about not completing all my tasks, did I feel tired, impatient while driving and did I handle irritations and become angry more than usual? Did I feel like

Another research study by Riebe, Fan, Unützer, & Vannoy (2012), demonstrated an association between activity scheduling and a decrease in depression; it also showed that individuals who engaged in pleasure inducing activities were more likely to show a significant improvement in depression. Further research showed that activity monitoring alone can facilitate cognitive restructuring to decrease problematic behaviours such as ruminating (Kanter et al., 2010). In the video, the therapist identifies activities Mark finds enjoyable such as reading, and encourages him to engage in them more. This is further verified by Iqbal and Bassett (2008) as activity levels can increase in people with depression though the setting or scheduling of tasks which the client finds interesting and

Weaknesses in the approach are it doesn’t consider the effect of environment on the mood. The approach is also deterministic and suggest that individuals are a product of their biology, everything is determined by the genes passed to

Alterations in mood/agitation were measured with a modified CMAI at four intervals on each intervention day.

Kelsie, my environment plays a huge role in what mood I am exercising. For example, when at the beach I am happy, stress free, and joyful. However when I am at a funeral, my mood changes instantly to pain, sorrow, and upset. The environment around me constructs each mood and it can be negative or positive.

During this session, the group members were asked to choose two emotions that they were feeling and verbalize how they identified the emotions with their addiction. To help patients with this an "emotional ball" was tossed around the room to help patients open up and discuss their circumstances. The group members were educated on the importance of expressing their emotions and provided with coping

Furthermore, results did not support the hypothesis that the 1:00 PM class would have more positive moods than the 8:00 AM and 4:00 PM classes; however, results did suggest that mood was affected by the time of day. Nevertheless, only particular times were affected, for instance the 4:00 PM late afternoon class had higher scores for the negative moods than the 8:00 AM class. Also, the 4:00 PM class had higher scores on the shyness subscale than the 1:00 PM midday class. The results that the late afternoon class had more negative mood than the midday appear to go against the current literature given that the research suggests that Negative Affect does not fluctuate throughout the day and is not related to the circadian rhythm (Murray et al., 2002). In contrast, Positive Affect appears to be related to the circadian rhythm, tends to increase throughout the day until about 9pm, when PA

I demonstrated emotional management through strategies to reduce stress and anxiety. Because I commonly encounter anxieties and panic attacks during challenging situations, I will often invite friends over while I was working on my product, so they can support me and give me advices that will allow me to stay on task (Appendix i, Extract 8).

This is to be used as both a diagnostic and therapeutic tool. In the diagnostic sense, the facial recognition technology will be rolled out to all at risk people living in Birdsville. The app will track the facial and vocal ques the patients give, and immediately report any early indication of depression to an appropriate doctor. The doctor will then be able to make contact with the patient to follow up and formally diagnose the patient. In the therapeutic sense, the patients mood will continue to be tracked alongside ongoing treatment with the doctor to ensure the patient remains safe, continues treatment and to monitor the effectiveness of the treatment being provided.

However, in this paper, only Stress Management (SM) and Affect Expression and Modulation (AFM) modules will be addressed based on obtained information. SM and AFM modules can help Amy manage her emotional dysregulation, control and reduce her stress and anxiety

The 2 passages I am going to talk about are learning to control your moods and science of moods.The authers of the passages are Jennifer James,and Terrence M. Hollan.

The Mood Management Group is an educational course which focuses on lifestyle changes and that help clients to find self-directed ways in which to manage their symptoms of depression and anxiety. This 4-session course will include general information regarding the development of depression and anxiety as well as introduce various methods in which to manage moods, decrease physical tension, decrease distressing symptoms, decrease symptoms of worry and increase energy levels all in a supportive and engaging environment.

To test the hypothesis that self-consciousness is directly related to the number of text messages sent and that number of minutes used is directly related to depression. Bivariate correlations using Pearson’s r coefficient were calculated. The correlation between the number of text messages sent and self-consciousness was not significant, r (83) = -.10, p = .180. The correlation between the number of minutes used and depression was not significant, r (94)= -.003, p= .490.

Early psychological research emphasized observable and objectively measureable outcomes. However, the idea of cognitions eventually become more popular, and the nature of psychological research (i.e., to understand both behavior and internal processes) was adapted to inquire about participants’ internal experiences (e.g., thoughts and emotions). Knowledge of these experiences is typically assessed via self-report questionnaires. Despite self-report being the most common method of personality assessment (Paulhus & Vazire, 2007), there are frequent discussions about its limitations. To address some of these limitations, such as those outlined by Nisbett and Wilson (1977), many researchers are turning to ecological momentary assessment (EMA). Implemented with smart devices (e.g., phones, tablets), EMA allows researchers to ask participants questions about their thoughts, feelings, and behaviors multiple times a day for days and weeks at a time. Due to its nature of in-the-moment assessment, EMA can address many of the limitations of traditional self-report, such as reducing the reliance on memory recall and integrating both introspective and behavioral measurements. However, old limitations still exist, such as biased reporting, as well as new limitations, such as awareness biases.