Science topic

Depressive Disorder - Science topic

Depressive Disorder are depressive states usually of moderate intensity in contrast with major depression present in neurotic and psychotic disorders.
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I wanted to see if plant extract could up-regulate the expression of BDNF promoters better than the commonly prescribed drug being fluoxetine,after depression was induced by force swim model (FSM).However in 3 promoters of BDNF,it was seen that there was more expression of BDNF by fluoxetine treatment on depressed subjects than in the normal healthy subjects. More expression BDNF was seen in depressed animals treated with fluoxetine than in healthy subjects,what could be the reason for such observation?
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More expression of BDNF in depressed subjects compared with healthy ones might have to do with some compensation mechanism. BDNF levels are generally lower in patients who suffer from a psychiatric illness, including depression than in healthy individuals. The kicking effect of antidepressants might turn it upside down in the context of compensation.
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Depression is a mood disorder that involves a persistent feeling of sadness and loss of interest. What are the causes, effects and probable solutions to depression? Sharing is caring. Thanks!!!
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Depression is also a leading cause of disability globally and contributes greatly to the global burden of disease. Even though psychological and pharmacological treatments exist for depression, however, in low- and middle-income countries (LMIC), treatment and support services for depression are often absent. According to report from the World Health Organization, over 75% of individuals suffering from mental disorders in LMIC countries do not receive treatment. Depression is a serious public health challenge.
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I want to find the correlation coefficients between two signals and to plot the deference in values using matlab. I have two eeg.edf datasets with 20 electrodes each, of healthy and depressed subjects. I have to find the correlation coefficient between electrode Fp1 healthy and Fp1 depressed, F3 healthy and F3 depressed and so on..
Can anyone help me with the code? so far I used edfread to transform my datasets in timetable variables.
Thank you!
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You have 20 in each group, why not use Spearman rho = rs
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My thesis involves 2 (between-subject) x 2 (between subject) x Continuous variables (depressive symptoms), looking for a possible 3 way interaction, how many participants do I need to recruit for having enough statistical power?
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Well, you need an expected effect size to calculate the nr needed to detect a statistically significant effect.
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I have been able to access the 10-item clinician-administered version but am interested in using the self-report form. I'm able to find articles that cite its use and those testing its viability but none that include the actual measure.
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Looking for this as well. Have you found it?
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I'd be grateful if anyone could direct me to evidence-based guidelines/recommendations on managing anxiety/depression in patients with SSRI sensitivity, i.e., patients who have difficulty tolerating SSRI's because of problematic side-effect that appear suggestive of serotonin syndrome, and other antidepressants including mirtazapine and venlafaxine appear to cause similar difficulties? Would buspirone or quetiapine be appropriate in such situations?
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Dear friend,
You can use antidepressants (such as bupropion) that do not have appreciable serotonin activity, but affects the norepinephrine and dopamine systems.
The following links may be useful to you:
Wondering why you can't tolerate antidepressants? (pillcheck.ca)
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I am interested in learning more about the current state of research in this area.
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Here are some relevant links for your ref:
(1) The relationship between alexithymia, defense mechanisms, eating disorders, anxiety and depression: https://www.rivistadipsichiatria.it/archivio/3301/articoli/32715/
(2) The association between depression and anxiety in adolescent females:
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My goal is to predict which depressed patients respond well to a specific treatment. Let's assume I have 2 groups, one has received the treatment ('active group'), the other not ('control group'). It's relatively easy to build a machine learning model which can predict symptom change over time, but how do I identify the factors which predict a positive response to the treatment? Just looking at symptom improvement is not enough, as depressed patients might improve over time without treatment. My guess is that I have to look into interaction features. Any ideas or suggested readings specifically for applying machine learning algorithms to experimental studies would be highly welcome.
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Generally, Managing machine learning experiments, trials, jobs and metadata using Amazon SageMaker
  1. Step 1: Formulate a hypothesis and create an experiment.
  2. Step 2: Define experiment variables.
  3. Step 3: Tracking experiment datasets, static parameters, metadata.
  4. Step 4: Create Trials and launch training jobs.
Kind Regards
Qamar Ul Islam
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Dear colleagues,
My research group is conducting a systematic review to assess the effect of nature-based adventure interventions on depressive symptoms as measured by depression outcome measures like BDI and HAM-D (protocol available here: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021250220)
As part of this search process, we would like to ask you to share with us (here on Research Gate or by emailing me at claudio2008ilheus@hotmail.com) any randomized controlled trial (RCT) or study in another language than English that you think may be relevant for our review.
Moreover, we were unable to get the full text of the studies in the Word file attached. We will appreciate it if you can share any of these texts with us.
Thanks in advance,
Claudio
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Thank you, Ronán. You are correct. This question on RG is just a part of a large search strategy as described in our protocol https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021250220
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Friends and colleagues that use psychological questionnaires to measure depressive symptoms: what is your preference between the PHQ-9 and the BDI-II?
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The PHQ-9 has the advantage of being faster to apply because it has fewer items, but the BDI-II is more complete and, therefore, more reliable in addition to having more literature on it: in short, I advise -if you can choose between the two, the BDI-II.
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I am a Medical student working on a research concerning mental health on young people. I am looking for a scale with good properties for symptoms of depression and anxiety.
Since the questionnaire includes many other dimension, short version are particularly welcome!
Thanks in advance!
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For Anxiety the "BAI" (Beck Anxiety Inventory) and, for Depression, the "BDI" (Beck Depression Inventory) ... Idem Hamilton
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Many people suffering from Typ one diabetes mellitus, could be identify as almost depressive as well.
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@bettina berger, i agree with you. Diabetes is usually associated with many psychiatric and psychological manifestations, apart from just depression. So it will be great to screen all diabetic patients with atleast all major psychological problems besides depression.
This might not be possible in all the LMIC , but general physicians should be very vigilant for identifying , diagnosiing these disorders
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Participant Groups - Depressed and Non-depressed
Stimuli - musical examples
Outcome - neural activation
Moderator - familiarity (of musical examples)
I am looking to see if an increase in familiarity of the musical stimuli decreases the gap in neural activation.
I cannot find with statistical analysis to use! What is the test called?
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Hi,
you can use either a typical regression analysis (with a dummy IV), structural equation modeling or ANOVA.
One thought: In case neural activation has a causal influence on depression, controlling for depression will induce endogenous selection bias / collider bias.
Good luck,
--Holger
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Of course, in the long-term perspective rewetting of peatlands has the potential to fulfil the multiple restoration goals including those targeting on climate, water, and species protection. However, in particular if long-term drained and agricultural used sites are rewetted often shallow lakes are formed due to peat loss and soil shrinkage. Such inundation could be problematic if areas are affected which still have a higher conservation value due to occurrence of rare orchids or butterflies like Euphydras aurinia. Such a case seems to be an exception but indeed such remnants can be occasionally found in larger drained riparian peatlands located in depressions or other areas which were less affected by drainage measures. Is there any publications available reporting on (non-intended) negative consequences on biodiversity due to rewetting measures?
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Peatlands are strategic areas for climate change mitigation because of their matchless carbon stocks. Drained peatlands release this carbon to the atmosphere as carbon dioxide (CO2). Peatland rewetting effectively stops these CO2 emissions, but also re-establishes the emission of methane (CH4).
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If stress cause depression but individual adapt to decrease dramatically depression symptoms in the cost of anxiety appearance in this case it is active coping or maladaptation or what this situation can be described ?
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Thank you very very very much. Your answer is very helpful.
But could you help me with an updated reference.
Thanks again.
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I have done EIS of SDC (Sm doped ceria) electrolyte from 550 to 750C. I observed the formation of a depressed semicircle. Also the diameter of semicircle decreases with increasing temperature with a decrease in resistance. What could be the possible reasons for formation of depressed semicircle? I am attaching the figure below.
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Thanks, I will study the article you referred. I have tried to construct an equivalent circuit using Zview but it simply leads to Rt(QRep), which is not very helpful to reveal the true information.
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how many of us undergo the Stress of being a researcher ? does it motivates only or it does Depresses at Times ?
please do write your views on it.
Best regards
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It can be nerve-racking at times, but can provide the necessary impetus to create something meaningful.....something that makes a good contribution to the field.
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In my current research I've done the following:
A GEE analysis was run to explore significant predictors associated with severe postpartum depression symptoms across the 6-month postpartum period. Separate GEE models were further run to identify the predictors of severe postpartum depression symptoms specifically in the first (from 0 to 3 months) and second quarter (from 3 to 6 months) postpartum.
So basically three GEE analyses were done from 0 to 3 months, 3 to 6 months, and 0 to 6 months. I assumed that the last model is a cumulative analysis of the repeated measured across the three-time points.
The aim of the separate analyses is to identify how predictors change across time.
I am not very familiar with the longitudinal analysis so I want to know if this makes sense?
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Thank you so much Alexander Pabst for your answer. This is very helpful, I really appreciate it! Indeed, I am interested in short-term vs. long-term effects of predictors on postpartum depression that's why I performed two separate GEE analysis in addition to the full model of the entire 6-month period. Also, as you mentioned certain effects were still present in the separate analyses whereas others were not large enough to be statistically significant and as they were masked by the overall trend.
I found this quite interesting as it showed the predictors with larger effects.
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Hi,
for a facial emotion recognition detection project, a friend asked me if I know where he could find a dataset with faces of depressed people.
I found this deep learning facial emotion recognition project:
based on theDexter Miranda’s photo project, "The Face We Make":
But, the photos are not specifically about "depressive faces" (more about emotions).
On Kaggle, I found a better dataset:
And the JAFFE dataset:
So, I would like to know if there are "scientific or psychological dataset" with photos of faces expressing different emotions with depressive symptoms?
Thanks,
Laurent Berry
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Thanks a lot...
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Hi to everyone.
For my Master's Thesis about ASD in Switzerland I need some questionnaires in French and Italian, as I already have the the German versions.
Maybe someone knows if there are translations for the following questionnaires:
- PSI (Abidin, 1995) short version
- Center for Epidemiologie Studies Depression Scale (Radloff, 1977) short version
- Short Screening Scale for DSM-IV Posttraumatic Stress Disorder (Breslau, 1999)
- A questionnaire to record emotional and social school experiences of third and fourth grade elementary school children
Thank you so much for any help!
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The PDDBI is available in Italian and sold by Hogrefe as the ASDBI. PAR sells the PDDBI and there may be a version in French. It has been translated into French Canadian.
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Why the number of secondary depressions on existing chromosomes varies?
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Thank you dear hadeel.
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Anyone has a pdf form of Children''s Depression Inventory 2 (CDI2)
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Children's Depression Inventory (CDI and CDI 2)
  • January 2015
  • DOI:
  • 10.1002/9781118625392.wbecp419
  • In book: The Encyclopedia of Clinical Psychology
  • 📷Maria Kovacs
  • request fulltext from here on RG
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I am in an evidence based class working on my PICOT question. My concern is I don't know what my timeline should be. 6 weeks? 12 weeks? Looking for RCT articles for this!
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In addition to what has already been said by me, physical exercise also releases SEROTONIN, which is also very suitable against Depressions
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Hi all,
I am doing a longitudinal study using depressive score as my DV. It is an observational study. No variables are manipulated. I have currently collected baseline (Time 1) and first follow-up (Time 2) data. I have a number of variables as predictors of the depressive score and I would like to identify what hypothesized variables collected at baseline would predict the Time 2 depressive score, and possibly be significant predictors for depressive scores at other time points in the future.
Do I
1) put predictors at baseline as IV, change score of depressive score as DV in the multiple regression model?
or
2) put predictors at baseline and baseline (Time 1) depressive score as IV, and Time 2 depressive score as DV in the multiple regression model?
I have actually tried both methods, it ended up that while using method 1, the predictors of change score are the same as those of Time 1 depressive score.
Whlie using method 2, no predictors (not even baseline depressive score) at baseline are significant predictors of Time 2 depressive score.
I wonder how I should have analyzed and interpreted the data. Thanks a lot!
Anna
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Remember, especially with no manipulation, correlation does not equal causation. So, "predicttion" may be a bit of a stretch.
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Is the 15-item Geriatric Depression Scale (GDS-15) sensitive to change of depressive symptoms through time or is it only to be used as a screening tool?
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It appears this tool should be used at intervals, like the PHQ 9. (Like admission and discharge, for example, or at each patient visit...). It could measure change over time only by comparison with a previously filled out one.
Patient’s Name:
Date:
Instructions: Choose the best answer for how you felt over the past week. Note: when asking the patient to complete the form, provide the self-rated form (included on the following page).
No. Question
Answer
Score
1. Are you basically satisfied with your life?
YES / NO
2. Have you dropped many of your activities and interests?
YES / NO
3. Do you feel that your life is empty?
YES / NO
4. Do you often get bored?
YES / NO
5. Are you in good spirits most of the time?
YES / NO
6. Are you afraid that something bad is going to happen to you?
YES / NO
7. Do you feel happy most of the time?
YES / NO
8. Do you often feel helpless?
YES / NO
9. Do you prefer to stay at home, rather than going out and doing new things?
YES / NO
10. Do you feel you have more problems with memory than most people?
YES / NO
11. Do you think it is wonderful to be alive?
YES / NO
12. Do you feel pretty worthless the way you are now?
YES / NO
13. Do you feel full of energy?
YES / NO
14. Do you feel that your situation is hopeless?
YES / NO
15. Do you think that most people are better off than you are?
YES / NO
TOTAL
(Sheikh & Yesavage, 1986)
Scoring:
Answers indicating depression are in bold and italicized; score one point for each one selected. A score of 0 to 5 is normal. A score greater than 5 suggests depression.
Sources:
Sheikh JI, Yesavage JA. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. Clin Gerontol. 1986 June;5(1/2):165-173.
Yesavage JA. Geriatric Depression Scale. Psychopharmacol Bull. 1988;24(4):709-711.
Yesavage JA, Brink TL, Rose TL, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982-83;17(1):37-
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After being affected with that viruse , most of the patients feel depressed and sad . How can we , psychologically, encourage them ?
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Interested discussion. Please follow up....👍
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please guide me about the sample size calculation for this study
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Hi! It depends on whether the researcher is using probability or non probability sampling and the population size. Usually the sources used to decide the sample size is following Hair et al 2010, G power calculator etc.
Reading the following material could be helpful as well. Thanks
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Hi Everyone,
I want to analyse how well two scales agree for detecting changes in wellbeing. I look at the Bland-Altman Method. One scale is a simple score from 0 - 10 for wellbeing. The other scale is the well established Beck’s Depression Inventory-II (goes from 0 - 63) . I wonder how to analyse the agreement?
Thanks!
Fred
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Hello,
This link talk about: Agreement Between Two Ratings with Different Ordinal Scale
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I have a student conducting research on coping mechanisms used by males with partners suffering from Post Part Depression. It has been very difficult getting participants to complete the survey. Any suggestions on where this can best be posted to improve participation?
Already tried social media sites and groups focused on male issues with limited response.
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Hi. I think you will have constant challenges getting validated data with a health topic relating to women, but studying it from a partner/male perspective.
All the best, though.
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With everyone having their own struggle and a different definition of being 'stressed'. Does problems of 23 years old smaller than that of 46 years?
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The uniqueness of depression is that the base of depression, on the basis of which depression occurs, is present in 99% of the population. 99% of the population are susceptible to depression, since the cause of depression is a violation of certain physiological processes in the human body, which of course are common to all people (all people in the body have the same physiological processes). Therefore, at 10, 20 or 40 years, depression is one and the same basic disorder, which can manifest itself in different ways due to different stresses at different ages (stresses are triggers of depression at any age).
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I am currently working on a database and I have tried various methods of machine learning and deep learning, all leads to poor classification/prediction. However, this might show that the two groups have no significant difference. For example, the database I have is a collection of audio speech and their associated depression level. I am assuming that the culture of where I am from and the strong religious believe, prevented the society from going too deep into depression. However, I need to find some literature to back up this statement. But, it seems that there are no significant difference between the acoustics of depressed and non depressed. Can I write these poor results in a paper? Any tips?
Thank you
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Hello Dr Nik, Yes sure you can write a paper and publish it in Scopus journals...
I can present some tips for you:
1- You can change the Chunk size of the voice sample and then check the results again (Usually when the chunk size (sec) is big, the results will increase (accuracy). While when the Chunk size is small, it sounds like a challenge to get high results.
2- Also, when the databases are equal (e.g., depressed and non depressed databases), the results often become higher
2- Give some significant points in the conclusion section in terms of this area.
3- Write the paper in very good English.
4- Moreover, check out these articles may help you in this area:
Thesis ''Automatic assessment of depression from speech: paralinguistic analysis, modelling and machine learning''
And all the best (:
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The sun goes through a natural solar cycle approximately every 11 years. The cycle is marked by the increase and decrease of sunspots. The greatest number of sunspots in any given solar cycle is designated as "solar maximum." The lowest number is "solar minimum." Solar Minimum may cause freezing temperatures, earthquakes, and drought.
Sometimes the regular time evolution of solar activity is broken up by periods of greatly depressed activity called grand minima. The last grand minimum was the famous Maunder minimum from 1645–1715. As occurred during the 19th century's so-called Dalton minimum is also considered to be a grand minimum.
According to NASA, the sun is heading toward solar minimum now. Sunspot counts were relatively high in 2014, and now they are sliding toward a low point expected in 2019-2020.
How to separate the influence of natural cycles and anthropogenic factors on our evolving climate or climate change?
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Thanks
Hassan Izzeddin Sarsak
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Hello, I am working with the Beck Depression Inventory and Beck Anxiety Inventory. I am trying to establish cut points for depressed/not depressed and anxious/not anxious. I know that I need to use an ROC curve to find the cut points, but I am not sure of the process to get there. Can anyone provide directions on going from survey questions/answers (I have 22 participants who have completed both surveys; no missing data) to establishing the ROC curve?
Thank you very much
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ROC (Receiver Operating Characteristic) analysis (Hajian-Tilaki, 2013) is a graphical representation of the effectiveness of the prediction model by drawing the characteristics of qualitative binary classifiers created from the model using many different cut-off points. Calculate the Youden Index for best sensitivity and specificity values.
One (mine) example of use of ROC Analysis in research:
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It is believed that there are several depressed people of COVID-19 lockdown. How a psychologist could support them amid the lockdown?
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E-questionnaire to the family & the cases. I think that is may be help. psychiatrist and psychotherapist can help more.
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Most of the commentary about the current COVID-19 induced economic challenges use either the 2008 global financial crisis (GFC) or the 1929 Great Depression (https://www.bbc.com/news/business-52236936) as reference points. The reference points most relate to; 1) the severity of the economic challenges and; b) the time it will take to recover from the current challenge, in relation to either 1929 or 2008.
In the outlook for the recovery period, it assumed that the recovery will either be in the form of V shape or an L Shape compared to previous recovery shapes.
The questions are as follows:
  1. Are there parallels between either the 2008 GFC or the 1929 Great Depression and the COVID-19 induced economic challenges? Can we possibly draw any parallels?
  2. If there is, in what way are these the same and in what way are they different, except for the obvious and "well documented" drivers and causes.
  3. What shape do you think the recovery will take/assume? V or L?
  4. How long will the recovery take, either as measured in number of years, quarters or months? and Why?
For ease of reference, see some of the links below
NB: The significance of the BBC reference is the quote (s) attributed to the MD of the International Monetary Fund (IMF).
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Yes Kheepe Lawrence Moremi , 1929GD and 2008GFC fall into a different analytic category (monetophysics) than this great global paranoia (social anthropology, epidemics and /direction of/ economic evolution).
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HI,
this is Farhana, currently studying Bachelor of Science in Computer Science and Engineering in BRAC University in Bangladesh.
My thesis project is on "Depression and normal condition" and I wanna find a clean EEG data set about Depression and normal condition. is it possible for you to share your data set with me?
Thank you
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Treatment of Bipolar Depression
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Cognitive behavioral therapy as well as somebody who walks with them is also helpful if you fear that an antidepressant will provoke mania. The more physical training and talking the better. These patients are usually rather alone while relatives and friends are tired and burdened from their ups and downs. Already group therapy is helpful.
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I am undertaking a review of depression in a specific population and the majority of the research studies included use a questionnaire to assess for depression symptoms. When writing up the review is it acceptable in a academic paper to describe the “prevalence” of depressive symptom? are there examples of papers where the authors defend the use of the term “prevalence” when discussing symptoms of depression. Are there definitions of “prevalence“ that can be used to justify using the term “prevalence” for symptoms of depression and not a clinical diagnosis as per the DSM V?
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In general, I concur with the responses from McColloch, Philpott, and Repisti. McCulloch's last sentence, " I personally am happy to see the term used as long as I understand what is being measured in what population. ", is what I would like to focus on. In diagnosing using the DSM-5, we use the terms prevalence and incidence as related to individuals receiving a particular diagnosis with prevalence being the number of individuals receiving that diagnosis at a particular point in time (ex. today or this day) and incidence being the number of NEW cases of a disorder within a given point in time (ex. new cases within the past year). However, prevalence, as stated by the above researchers, does not simply refer to a diagnosis. Like McCulloch, I would happily accept the use of the term prevalence if the research thoroughly describes how prevalence is being used.
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Planning an intervention for infertile depressed and anxious people, for guidence purpose I want to go through those interventions if you know any. thank You
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Logotherapy is a successful intervention. Finding the present meaning in life, can be short-term or long-term. Resolving the fear of death by finding a lasting faith. Social support, love, which a man suggested should be available in the pharmacy,
and insight and acceptance that there are things that exceeds our understanding.
A very quick and effective intervention is listening to classic music.
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Why Have Researchers so far failed to identify common GENE MUTATIONS that contribute to risk for MAJOR DEPRESSION?
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Researchers found high mobile phone use was associated with stress and sleep disturbances for women, whereas high mobile phone use was associated with sleep disturbances and symptoms of depression in men. Do you agree that excessive cell phone use can be a risk factor for mental health issues in young adults? Yes/No and Why?
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In addition to all the damages that have been described by the abusive use of mobile phones. I want to deepen its negative effect on young people. We've all seen an image like the one shown above, a group of young people using their cell phone, but they don't talk to each other! Excessive use of mobile phones can lead to isolation, lack of communication and all the problems that may arise from this. On the other hand, the great risk that implies, especially for the little ones, something that is very fashionable: "to make a live transmission of daily life with images or videos". Finally, I want to point out that specialists in the field of security and cybercrime warn us about the increase in violence or harassment among teenagers. Social networks can give an instrument to say or do things, which perhaps in a real personal relationship would not happen ...
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Is there a link between onset of Isotretinoin treatment with the onset of psychiatric symptoms (depressive disorder, bipolar affective disorder, suicidal ideation)?
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Interested
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I want to know if the respondents/participants are diagnosed with depression already or is there a tool to determine it as part of the study. Depression must be clinically diagnosed before saying that this person is suffering from it.
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thank you
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To what extent is the change in the client's severity of depression reflected in his/her score. My client told me that she felt "much better" within a week, but her score in the checklist dropped by one point only. How can this be explained?
Thank you
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Psychotherapy and antidepressants do not affect the cause of depression. Antidepressants act as a sedative medication, for a time they can distract from depression. Psychotherapy helps to adapt to anxiety and panic, but does not eliminate them completely. The client said that she felt much better for various reasons: she could not accurately assess the changes; maybe it will be better later, and now I will say in advance that I am better; something happened and maybe this improvement and so on. It is difficult for the client to catch changes when there are no such changes, therefore the client can begin to draw conclusions and analysis independently. Psychotherapy is an attempt to adapt to depression. The cause of depression is a complex transdisciplinary phenomenon, the elimination of which is not currently the responsibility of psychiatry.
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Åsberg Depression Rating Scale (MADRS) is a 10-item diagnostic questionnaire used to measure the severity of depressive episodes in patients.
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Which research question are you answering? How many groups do you have? If you have more than 2, use ANOVA to compare means.
Do you want to know how many % in the variance in a certain personality trait is explained by depression, then you use regression analysis.
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When it comes to predicting depression, does race matter more than was thought?
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Hello, Major depression and factors associated with depression were more frequent among members of minority groups than among Whites. Elevated depression rates among minority individuals are largely associated with greater health burdens and lack of health insurance, factors amenable to public policy intervention.
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Demographic differences show that Depression is more prevalent in urban areas than in rural areas. What are the possible explanations to this?
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Depression in the city due to unfavorable ecology. There is no grass under your feet, we breathe dust and harmful gases, there is little oxygen, the noise from the machines and lawn mowers, there is no biodiversity of plants, and so on - this is an environmental aspect. Because of the constant mowing of grass and straight lines of ordinary buildings, we see lifeless empty spaces with straight lines that put pressure on the psyche. A person is more comfortable and healthy for a situation when he is surrounded by various plants and natural lawns with unmowed grass.
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I believe while doing research about depression we are doing a huge mistake. We often use screening tools for depression, such a self-reported scale (e.g. EURO-D), and those who are at risk are often called "depressed".
Being at high risk for depression does not mean being depressed.
I often read about incredibly high prevalence of depression in many studies, but then in the methods I see a screening tool was used to measure depressive symptoms.
Depression is not diagnosed in such a way.
Diagnosis of depression can be done only in a clinical setting.
While using scale for screening, we need to talk about "individuals at high risk for depression" or individuals with "high level of depressive symptoms".
It is like if we would refer to those with low tolerance to glucose as diabetic after asking them the value of glucose last time they made a blood test. Actually, this would be even more accurate.
What is your idea?
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I agree with Michael Uebel that PHQ-9 is a useful screening tool, as well as other validated questionnaires (Zung's SDS, CES-D, HADS, Whooley, etc.). However, they are just screening tools, not diagnostic tools. A positive screening indicates that there is a likelihood of having a depressive disorder.
E.g., it is accepted that the operational features (sensitivity, specificity...) of the PHQ9 are sufficiently good to recommend its use as a screening tool, but its predictive positive value (at best: in a population with high prevalence of depression) could be around of 50 % (i. e., 50% of positive results in PHQ 9 do not have depression).
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WHY IS DEPRESSION MORE PREVALENT IN WOMEN THAN IN MEN?
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Good question. Following.
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Can you tell me about the connection between variability heart rate and bipolar depressive disorder (or pharmacoresistant unipolar depression)? I would be very thankful for the publications you know of about this topic which applied fractal and nonlinear measures, apart form frequency analysis. I know of some finding about the link between the outcome of ECT and VHR in depression, but the sample was small. We are trying to understand our data and it is difficult to find newer publications apart from Goldberger, Pincus, Costa et al on nonlinear measures illustrating that connection.
Thank you
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Ronan Michael Conroy, no worries, I already used Jane to find something. And I edited the question, because I realized it was not clear enough.
Regards,
Milena
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|I am looking at relationship between fear of crime and anxiety and depression within the Asian Community?
My IV is ethnicity with three levels and my DV is Anxiety and Depression and Fear of crime, fear of crime is looking at the worry about being a victim, likelihood of becoming a victim and how they feel about the crimes in there area.
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I would use linear regression analysis. See my paper:
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I want to know the minimum population size/effective number of quail birds that needed to reconstruct new population, and the different depression effects expected.
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I don't really believe we know this. It is an important research topic.
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My questions is this, what is the value of looking at the interrealtionship bewteen stress, anxiety and depression in any given population? What do we learn from looking at all three together that we would not from looking at say stress and anxiety or deprression and anxiety? Is the relation between stress, anxiety and depression important?
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Dear Beatrice,
Thank you for your reply.
I understand that there is a connection, however, what is to be gained by knowing about the interrealtionship? I have looked at a lot of papers over the last few weeks taht have examined stress, anxiety and depression, yet none of them addressed why it was important to know the interrea;ltionship,and none of them stated how knowing would be benefical.
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Hello All
For most of our research work in older adults and people with Parkinson's disease, we have used Beck's Depression Inventory (BDI-II) or Geriatric Depression Scale (GDS).
Recently, we have started doing some experiments with younger adults and would like to screen them for depression. Could you recommend some screening tools that are not expensive and take less than 15 min to administer?
Thanks,
Supraja
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well PHQ-9 would be of help
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With recurrent major depressive disorders there are some guide line about chronic therapy with antidelressants. The question seems to me less clear in the case of recurrent anxious disorder.
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Maintenance therapy (even for ever) on appropriate dose of antidepressants for e.g. PTSD or GAD is an alternative to keep a person functioning with an enhanced quality of life.
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I am intersted in measuring trauma exposed to protracted conflict. among young adults (20-28 years). There are many tests which measure PTSD but I think PTSD or other mental distress (Depression/Anxiety) are the outcomes of trauma but not the trauma per se. There is one Child War Trauma Questionnaire but its too long and there are many items which need to be qualitatively answered.
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thanks for the reply,, Ill modify some of the questions relevant for the study. Ill also include a section on narrative of what happened, how it happened, when it happened and what is the status now.
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The earliest studies related to social media use and depression began to appear around 2013. The previous studies primarily focused on social media envy, the length of time spent on social media, the use of Facebook or any other social site and their effects on depression.
However due to the complexity of depression, it is difficult to pinpoint a single causal factor because there are an abundant amount of social media related variables that could potentially have an effect on an individual’s level of depression. So, in today's time, can we say social media is the primary culprit for depression in people?
I would be obliged if you could please put in your valuable views on the same.
Thanks.
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Yes of course
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I'm conducting a systematic review and found 5 RCTs measured the depression (outcome) using different scales (Hamilton Depression Rating Scale/ Montgomery-Åsberg Depression Rating Scale/Beck Depression Inventory etc) with the different period (3 months, 4, months, etc.). I was able to conduct a meta-analysis using the same scales and period (2 RCTs), however I'm wondering whether it is sensible to conduct a meta-analysis using different sales and period?
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Yes, it is possible by combining the data using "standardized mean difference" then perform subgroup analysis according to the duration of the follow-up.
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I have worked on major depressive disorder (MDD) and came across people who had suicidal thoughts and ideology. Most of them, were sick of their lives and viewed it like a dead-end. During the psychotherapy (talk therapy) sessions that I led during my dissertation period, every depressed person that I had talked to, more-or-less had the same symptoms and thinking and had a tendency to blame it on their helpless situations.
What I couldn't understand was what actually leads to suicidal ideology in people? Depression is one of the reasons, but, there is no exact reasoning for it.
What are your views on it? Please share.
Thank you.
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good greeting
Causes of Suicide
The weakness of religious
Social problems
Domestic violence
The unemployment
Drug Addiction
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about new strategies applied to help children under this issue.
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expressive techniques are effective in dealing with children with depression disorders
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Needs to be fairly short and accessible. Preferably relating to MH in children but that's not essential.
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Hi,
Maybe this questionnaire can help.
Best wishes
Yaakov
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Hi everyone,
I am working on "Automatic Assessment of Depression based on Visual Cues". As a first stage I need to have a proper data-set to work on. The most popular data that I have found in different papers, are Pittsburgh, BlackDog, DAIC-WOZ and AVEC. But I can not find non of them in net.
Does anybody know how should I get access?
Thanks
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Research studies carried out by the research team at Northwestern University in Chicago, USA, are useful in this area. You can communicate with the university and the research team responsible for this work.
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For the Hamilton Depression Rating Scale (HDRS), short versions (e. g. a 7-item scale) exist.
Is there a short version for the Hamilton Anxiety Rating Scale HAS?
Making use of a dataset with HDRS-17 and HAS-14, I try to make use of both assessments, but with fewer items. Do you have any ideas?
Many thanks.
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Dear Béatrice Marianne Ewalds-Kvist
This is very helpful. Thank you very much!
Best regards
Johannes Vetter
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Masters Thesis based on Treating Depression using Cognitive Behavioral Therapy. I am looking at the efficiency of CBT. I am not sure if we can use Case Studies for Masters Thesis and if so how? Meaning that I know for qualitative study we suppose to really come up with a theory or add to it.
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Whether case study is a suitable approach, and how many you need, will depend on the questions that the research is trying to answer/ explore. Case studies are not usually suitable if you are trying to generalise and formulate new theory, but they are good for exploring a single phenomenon in great depth and providing new insights which can help us to understand theoretical concepts more clearly. This is something to discuss with your Masters Thesis supervisor, who should be able to help you work out the best approach.
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Hi, I'm working on a meta analysis and I have a problem,
Several research included in my work uses multiple measures measuring same variable. For example, if there's a research about depression, it uses both BDI and CES-D. I heard we have to use a averaged effect size if a single research uses multiple measure within a study.
1.Maybe I can just dividing the sum of effect sizes because they are derived by the same pool.. Is it right? (If effect size in BDI is 2.0 and CES-D 3.0, total effect size is 2.5)
2. then is there any way to show forest plot including each averaged sizes?
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The effect size may depend on the measure. The BDI, for example, closely follows DSM criteria while the CESD is less aligned and the HADS measures something that can only be called HADopathy.
There is nothing to stop you displaying the two measures from the same study, in that they constitute two measurements of the outcome. However, since they are going to be highly correlated, you will run into trouble calculating the standard error of the pooled estimate.
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Please recommend published research on the longitudinal interactions/influence/correlation of Depressive Symptoms and Occupational Distress?:
We have a prospective study of clergy. We have measured depressive symptoms (with the PHQ-9) ), clergy occupational distress and Spiritual Well-being. We are looking for longitudinal studies that provide background and support for this area of inquiry.
Thank you for your help.
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Aaron,
Thank you for the references.
I look forward to hearing more about your project.
All the best,
- Glen
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DASS (Depression Anxiety Stress Scale) -21, a validated screening instrument.
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Cut-off scores very much depend on the population from which you are sampling. Attached is a very general suggestion.
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research articles on effect of therapeutic milieu on depression, suicidal ideation and depression in inpatient psychiatric setting
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Best Xavier,
I believe that it may be of importance to define what "therapautic milieu" comprise... One possible part of the milieu, and in my opinion a very important one, may be the staff and then attitudes they have. I suggest that you read the paper below, which is a good exemple of this.
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Patient with Depressive Disorder with no response to several antidepressant and to ECT. When he was in his forty he had a very good mood response to lithium.
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Thank you Aida, the clearance is not the better but we are going to go back to lithium slowly and being aware
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I am doing a study in which we get a Montgomery-Asberg Depression Rating Scale (MADRS) at three time points (baseline, 2 weeks, and 4 weeks). I have a subject who reported at the 2-week time point that he'd previously been minimizing some of his symptoms at the baseline time point. Most notably, he said that he didn't tell us about his suicidal thoughts because he was worried that we'd hospitalize him. He now reports more suicidal thoughts than what he told us at baseline, but also says that he's only admitting it to us now because it's improved to the point that he's no longer concerned about being hospitalized. If we follow the most stringent definition of the scale, he received a "2" for that question at baseline and now he gets a "4" for that question. However, I feel that this misrepresents the patient's actual symptoms. Is there a reasonable/ethical way to address this or do I just have to accept this as one of the limitations of my methodology?
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Hi Shan, I agree with Kevin - always difficult to know what all persons might otherwise have indicated. As this is an observer rated scale, it could also be suggested that the interviewer was not skilled enough to probe. Personally, I would not change the data, if you have a large enough sample size variations such as this should equal out... you can make a note in the discussion, as often happens when we have clinical samples we do not sample people at 'their worst', as often they are too ill to be interviewed/answer questionnaires at that time. Best of luck with it. Kate
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Experience with off label deep brain stimulation in psychiatry.  
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Overall only about 200 patients have been treated worldwide, all with severe forms of TRD. This means that they did not respond to psychotherapy, pharmacotherapy and in most cases ECT. I am not aware of a single case of a patient treated with DBS who is not pharmacotherapy resistant. The overall efficacy has not been established yet. Please keep in mind that stereotactic neurosurgery is invasive and carries a 0.5-1% risk of hemorrhage.
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From DSM-III onwards, 'irritability' has been considered one of the child/adolescent specific symptoms for a diagnosis of depression. I'm interested to know how the term is defined, the historical and empirical background for this change, and whether research has been done on irritability as a feature of adolescent depression. Can anyone help?
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Yes, Miyuru…  the anecdotal observations of very young children tell us a lot and we learn about human behaviors.  I have done a lot of observation of children in "play" therapy and it is fascinating to see how they work out different themes.   They will act out a "story" whether they know you are watching or not.  They often need to practice the "attachment" behaviors and if they can verbalize it even with a doll or a stuffed toy that is helpful.  I did notice all the sighs in the one 4 year old.   If a teacher looked at the child she would see the glasses and hear the speech sounds (not always clear) and might dismiss the child  as "not learning"  but when you actually see the child's play and interpret her stories there is so much there -- and it reaffirms the child's individual capacity for growth.  This has been a special interest of mine working with preschoolers and early childhood.  if you want to write an email I am jeanhaverhill@aol.com  (Massachusetts/USA/retired adjunct faculty -- we trained school psychologists) and we had help from Children's Hospital in Boston with the nurse practitioners (in less affluent areas of  MA where we have multi-ethnic populations)
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Further is that..can we say that depression is emotion or some thing like mood??
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I think that depression should be embedded in robots to avoid humans to mistreat them.
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More than 50 % patients with MDD are not treated appropriately. More than 50 % of patients with MDD do not take their drugs regularly. In this point of view, a pharmacotherapy of MDD in primary care with an inclusion of psychiatric clinical pharmacist could be benefitial for patients with MDD. A collaborative practice model in which clinical pharmacy specialists managed the medication therapy of patients with mild to moderate depression increased patients' adherence to treatment and their satisfaction. Although, some evidence are available and published about this topic in USA (predominantly published by P. Finley), there is almost no evidence about this type of cooperation in Europe. What is your opinion about this question?
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You are right. We are conducting this type of study in Europe now. I hope that the results will be positive for patients, GPs and payers. U.S. evidence tell us that this type of coolaborative care should be establish within helath system.