Empathic Love Therapy to Reduce Depression among Female Victims of Domestic Violence

Female victims of domestic violence often experience depression. This research used Empathic Love Therapy (ELT) to reduce depressive symptoms, by enabling individual to understand one-self deeper by realizing, understanding, accepting, and loving all aspects of the self, which is the early process of healing. This research is quasi-experiment research using a single group simple interrupted time series design. Five women aged 30-60 years old who experience depression, based on BDI (Beck Depression Inventory) score, participated in an eight-session therapy. Participants were recruited purposively based on theory-based or operational construct sampling. Data analysis combined quantitative and qualitative methods, of which Wilcoxon Signed Ranks Test was used for quantitative analysis, whereas qualitative analysis adopted a descriptive analysis. Quantitative findings significant difference in BDI score between before and after treatment (Z = -2.023 with p= 0.043<0.05). Qualitative findings showed that participants were able to find survival personality that emerged from past painful experiences and plays a role in the depression symptoms they are currently experiencing. With the power of love they find from God, they are able to accept themselves, and focus their lives on their potential and positive future plans. Therefore, it can be concluded that Empathic Love Therapy is effective to be used to reduce depressive symptoms.

Post-COVID depression among a sample of Egyptian patients and its associated factors

Background Depression is classified as a mood disorder. It may be described as feelings of sadness, loss, or anger that interfere with a person’s everyday activities. Nowadays, we are in COVID-19 pandemic. From practice after COVID-19 illness resolves, some of the recovering patients return back smoothly to their pre-illness life. Others experience different mood changes. Anxiety and depression are the most common. Those patients with improving general health, radiology, and oxygenation have different somatic complaints such as sensation of dyspnoea. Psychological support and psychiatric evaluation can help them to overcome this situation and get rid of dyspnoea sensation. This work aimed to evaluate the relation between COVID-19 survivors and depression and to how extent this could affect functional status of the study participants. Results This work recruited 102 adult patients as a sample of Egyptians who were positive PCR for SARS-COV2, turned negative and free of symptoms for 1 month or more which include physicians, nurses, employees, and literate health care workers of Ain Shams University hospitals attending chest outpatient clinic for follow-up. The majority were 47.1% in age group (35–55 years), sixty two (60.8%) participants were females, 74.5% had high education, and 24.5% were smokers. The most frequent symptom reported by study participants as the most annoying COVID-19 symptom was fever (32.4%). Beck depression inventory score showed that 59 (57.8%) participants had no depression, 24 (23.5%) had mild depression, 16 (15.7%) had moderate depression, and only 3 (2.9%) participants had severe depression. Logistic regression analysis was done to measure effect of steroid use and grade of dyspnoea on development of moderate or severe post-COVID depression and showed that higher grades of dyspnoea were associated with higher probability of development of moderate or severe post-COVID depression (p value < 0.05). Conclusion As predicted, COVID-19 survivors presented a high prevalence of psychiatric sequelae. Age, sex, and education level were important association factors. Higher educational level was associated with higher score of depression due to increased awareness of the current pandemic issue. Steroids’ use was proposed as a cause of depression since the majority of moderate or severe depression group were on steroids. Higher grades of dyspnoea were associated with higher probability of development of moderate or severe post-COVID depression. It is suggested that COVID-19 survivors should be assessed, to properly diagnose and treat any psychiatric conditions, to reduce the disease burden.

Prediction of Beck Depression Inventory Score in EEG: Application of Deep-Asymmetry Method

There is ongoing research on using electroencephalography (EEG) to predict depression. In particular, the deep learning method in which brain waves are used as inputs of a convolutional neural network (CNN) is being widely researched and has shown remarkable performance. We built a regression model to predict the severity score (Beck Depression Inventory [BDI]) of depressed patients as an extension of the deep-asymmetry method, which has shown promising performance in depression classification. Predicting the severity of depression is very important because the treatment and coping methods are different for each severity level. We imaged brain waves using the deep-asymmetry method, used them to train a two-dimensional CNN-based deep learning model, and achieved satisfactory performance. The EEG image-based CNN approach will make an important contribution to creating a highly interpretable model for predicting depression in the future.

Association Between Neuropsychiatric Symptoms and Functional Change in Older Non-Demented Adults: Mayo Clinic Study of Aging

We examined the associations between baseline neuropsychiatric symptoms (NPS) and longitudinal changes in functional performance among 5,394 non-demented individuals aged ≥50 years (2,729 males; median age 74.2 years; 4,716 cognitively unimpaired, 678 mild cognitive impairment). After adjusting for age, sex, education, and medical comorbidities, NPS assessed by the Neuropsychiatric Inventory Questionnaire, clinical depression (Beck Depression Inventory score ≥13) and anxiety (Beck Anxiety Inventory score ≥10) were significantly associated with an increase in the Functional Activities Questionnaire score, indicating functional decline over time. This association may vary depending on the degree of cognitive impairment at baseline.

Rapid effectiveness of intravenous ketamine for ultraresistant depression in a clinical setting and evidence for baseline anhedonia and bipolarity as clinical predictors of effectiveness

Background: Intravenous ketamine has been established as an efficacious and safe treatment, with transient effect, for treatment-resistant depression. However, the effectiveness of intravenous ketamine in non-research settings and with ultraresistant depression patients remains understudied. Aims: This study aims to measure the response and remission rates in ultraresistant depression patients in a clinical setting by means of a retrospective, open label, database study. Secondarily, the study will attempt to support previous findings of clinical predictors of effectiveness with intravenous ketamine treatment. Methods: Fifty patients with ultraresistant depression were treated between May 2015–December 2016, inclusive, in two community hospitals in Edmonton using six ketamine infusions of 0.5 mg/kg over 40 min over 2–3 weeks. Data were collected retrospectively from inpatient and outpatient charts. Statistical analysis to investigate clinical predictors of effectiveness included logistic regression analysis using a dependent variable of a 50% reduction in rating scale score at any point during treatment. Results: At baseline, the average treatment resistance was severe, with a Maudsley Staging Method score of 12.1 out of 15, 90.0% were resistant to electroconvulsive therapy, and the average Beck Depression Inventory score was 34.2. The response rate was 44% and remission rate was 16%. As a single predictor, moderate or severe anhedonia at baseline predicted a 55% increased likelihood of response. As a combined predictor, this level of anhedonia at baseline with a diagnosis of bipolar depression predicted a 73% increase in likelihood of response. Conclusion: In a clinical setting, intravenous ketamine showed effectiveness in a complex, severely treatment-resistant, depressed population on multiple medication profiles concurrently. This study gave support to anhedonia and bipolar depression as clinical predictors of effectiveness.

The Effects of Myofascial Release Technique on Depression Following Pain Reduction in a Depressive Patient Suffering from Frozen Shoulder: A Case Report

Introduction Chronic pain and depression are known to interact, possibly through common neurotransmitters and pathways. Frozen shoulder is among the most debilitating musculoskeletal disorders, with a prevalence of 2–5%. Managing one of these disorders may induce dramatic effects on the other. The aim of this study was to investigate the effects of myofascial release on the attenuation of depression following pain reduction in a patient with depression and frozen shoulder. Case report/Method A 49-year-old woman with a history of depression for the previous 6 years was referred to us with a diagnosis of left side frozen shoulder. Initial range of shoulder flexion and abduction were 95 and 80 degrees respectively, and pain intensity on a visual analog scale was 10/10. Debilitating pain disturbed her sleep. Muscle weakness was documented with manual muscle testing. The myofascial release technique for the serratus anterior was applied in 5 sessions. Results Shoulder pain was considerably attenuated and range of motion improved notable following treatment. The patient’s Beck Depression Inventory score improved by15 points. Discussion These improvements might be attributed to the interrelationship between pain and depression.