Increased Beck Depression Inventory Score among Coffee Growers Pesticide Applicators

2017 ◽  
Vol 03 (01) ◽  
Author(s):  
Catarine Lima Conti ◽  
Leticia Parmanhani Romao ◽  
Camila Vieira Chagas ◽  
Juliana Kruger Arpini ◽  
Wenita de Souza Justino ◽  
...  
Keyword(s):  
Beck Depression Inventory ◽  
Beck Depression Inventory Score ◽  
Pesticide Applicators

Vitamin D Decreases Beck Depression Inventory Score in Patients with Mild to Moderate Ulcerative Colitis: A Double-Blind Randomized Placebo-Controlled Trial

2018 ◽  
Vol 16 (5) ◽  
pp. 541-549 ◽  
Author(s):  
Amrollah Sharifi ◽  
Homayoon Vahedi ◽  
Saharnaz Nedjat ◽  
Ashraf Mohamadkhani ◽  
Mohammad Javad Hosseinzadeh Attar
Keyword(s):  
Ulcerative Colitis ◽  
Vitamin D ◽  
Beck Depression Inventory ◽  
Controlled Trial ◽  
Beck Depression Inventory Score ◽  
Double Blind

Prolonged Exposure Therapy for Chronic Combat-Related PTSD: A Case Report of Five Veterans

CNS Spectrums ◽  
2007 ◽  
Vol 12 (9) ◽  
pp. 690-695 ◽  
Author(s):  
Nitsa Nacasch ◽  
Edna B. Foa ◽  
Leah Fostick ◽  
Miki Polliack ◽  
Yula Dinstein ◽  
...  
Keyword(s):  
Beck Depression Inventory ◽  
Prolonged Exposure ◽  
Ptsd Symptom ◽  
Supportive Therapy ◽  
Previous Treatment ◽  
Beck Depression Inventory Score ◽  
Ptsd Symptoms ◽  
Symptom Scale ◽  
Chronic Ptsd ◽  
Interview Score

ABSTRACTProlonged exposure (PE) therapy has been found efficient in reducing posttraumatic stress disorder (PTSD) symptoms mostly among rape victims, but has not been explored in combat-related PTSD. Five patients with severe chronic PTSD, unresponsive to previous treatment (medication and supportive therapy) are described. Patients were evaluated with the PTSD Symptom Scale–Interview, and Beck Depression Inventory, before and after 10–15 sessions of PE therapy. All five patients showed marked improvement with PE, with a mean decrease of 48% in PTSD Symptom Scale–Interview score and 69% in Beck Depression Inventory score. Moreover, four patients maintained treatment gains or kept improving 6–18 months after the treatment. The results suggest that PE was effective in reducing combat-related chronic PTSD symptoms.

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

2021 ◽  
Vol 11 (19) ◽  
pp. 9218
Author(s):  
Min Kang ◽  
Seokhwan Kang ◽  
Youngho Lee
Keyword(s):  
Deep Learning ◽  
Beck Depression Inventory ◽  
Beck Depression Inventory Score ◽  
Ongoing Research ◽  
Coping Methods ◽  
Brain Waves ◽  
Interpretable Model ◽  
Severity Of Depression ◽  
And Coping ◽  
Deep Learning Model

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.

scholarly journals Weight Changes in Subthalamic Nucleus vs Globus Pallidus Internus Deep Brain Stimulation: Results From the COMPARE Parkinson Disease Deep Brain Stimulation Cohort

Neurosurgery ◽  
2011 ◽  
Vol 68 (5) ◽  
pp. 1233-1238 ◽  
Author(s):  
Maren C. Locke ◽  
Samuel S. Wu ◽  
Kelly D. Foote ◽  
Marco Sassi ◽  
Charles E. Jacobson ◽  
...  
Keyword(s):  
Weight Gain ◽  
Deep Brain Stimulation ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Beck Depression Inventory ◽  
Brain Stimulation ◽  
Beck Depression Inventory Score ◽  
Globus Pallidus Internus ◽  
Score Change ◽  
Deep Brain

Abstract BACKGROUND: Parkinson's patients, on average, gain weight after deep brain stimulation (DBS). OBJECTIVE: To determine potential differences in weight gain when comparing the subthalamic nucleus and the globus pallidus internus target. METHODS: A retrospective analysis was performed on the prospective, randomized cohort of National Institutes of Health COMPARE trial DBS patients who received unilateral subthalamic nucleus or globus pallidus internus DBS. Baseline weights were recorded before DBS surgery and at 6, 12, and 18 months postoperatively. Relationships between weight change and changes in Beck Depression Inventory score, Unified Parkinson's Disease Rating Scale (UPDRS) motor score (part III) (also the dyskinesia duration and disability subscores from UPDRS IV), and Hoehn-Yahr stage were determined via Spearman's rank-order correlation coefficients. Regression analyses were performed to investigate the effects of potential factors on weight change over time. RESULTS: Patients in the COMPARE DBS cohort gained a significant amount of weight, a mean of 4.86 lb (standard deviation = 8.73) (P = .001), but there was no significant difference between subthalamic nucleus and globus pallidus internus targets (weight gain of 4.29 ± 6.79 and 5.38 ± 10.32 lb, respectively; P = .68). Weight gain did not correlate with Beck Depression Inventory score change, UPDRS motor score, dyskinesia duration, dyskinesia disability change, or the Hoehn-Yahr stage (P = .62, .21, and .31, respectively). No specific variable was associated with weight gain, and there were no differences in binge eating post-surgery in either target. CONCLUSION: There were significant changes in weight over time after DBS therapy. However, neither Beck Depression Inventory score change nor UPDRS score change or dyskinesia was correlated with weight gain. No significant factor was associated with the weight change.

scholarly journals Population prevalence of depression and mean Beck Depression Inventory score

2009 ◽  
Vol 195 (6) ◽  
pp. 516-519 ◽  
Author(s):  
J. L. Veerman ◽  
C. Dowrick ◽  
J. L. Ayuso-Mateos ◽  
G. Dunn ◽  
J. J. Barendregt
Keyword(s):  
Beck Depression Inventory ◽  
Population Distribution ◽  
Threshold Value ◽  
Beck Depression Inventory Score ◽  
Clinical Interviews ◽  
Population Distributions ◽  
Prevalence Of Depression ◽  
The Mean ◽  
The Uk ◽  
Number Of Individuals

BackgroundFor some phenomena the mean of population distributions predicts the proportion of people exceeding a threshold value.AimsTo investigate whether in depression, too, the population mean predicts the number of individuals at the extreme end of the distribution.MethodWe used data from the European Outcome in Depression International Network (ODIN) study from populations in Finland, Norway and the UK to create models that predicted the prevalence of depression based on the mean Beck Depression Inventory (BDI) score. The models were tested on data from Ireland and Spain.ResultsMean BDI score correlated well with the prevalence of depression determined by clinical interviews. A model based on the beta distribution best fitted the BDI distribution. Both models predicted the depression prevalence in Ireland and Spain fairly well.ConclusionsThe mean of a continuous population distribution of mood predicts the prevalence of depression. Characteristics of both individuals and populations determine depression rates.

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