Can cannabis trigger recurrent panic attacks in susceptible patients?

1997 ◽  
Vol 12 (8) ◽  
pp. 415-419 ◽  
Author(s):  
G Langs ◽  
H Fabisch ◽  
K Fabisch ◽  
HG Zapotoczky
Keyword(s):  
Depressive Disorder ◽  
Panic Attack ◽  
Panic Attacks ◽  
Panic Disorders ◽  
Grand Mal ◽  
A Current ◽  
Vulnerable Persons

SummaryCannabis has been reported to produce acute psychiatric reactions, among these panic anxiety and derealization, which are self-limited. We report on three patients who experienced an initial panic attack during cannabis intake. Anxiety attacks reoccurred after the cessation of intake. Two of these patients had a current depressive disorder, one of them had a single Grand Mal seizure before the onset. We suggest that cannabis may trigger the emergence of recurrent panic attacks and uncover latent panic disorders in vulnerable persons.

scholarly journals Associating Unemployment with Panic Attack Using Deep Learning during COVID-19

2020 ◽  
pp. 33-40
Author(s):  
Shawni Dutta ◽  
Samir Kumar Bandyopadhyay
Keyword(s):  
Infectious Disease ◽  
Deep Learning ◽  
Panic Attack ◽  
Panic Attacks ◽  
Single Model ◽  
Panic Disorders ◽  
Learning Framework ◽  
Learning Techniques ◽  
Proposed Model ◽  
Mlp Classifier

Corona Virus Infectious Disease (COVID-19) is newly emerging infectious disease. It is known to the world in late 2019. Due to this, the mental health of employees is disturbed. There is always a fear of unemployment amongst employees due to the present scenario of lockdown. This may even create a panic attack. It has been happening rapidly during COVID-19. It has a great effect on human health. This paper analyses multiple factors that have an impact on causing panic attacks. Deep Learning techniques are explored which detects panic disorders on people. Recurrent Neural Network (RNN) based deep learning framework is utilized in this paper that assembles multiple RNN layers along with other hyper-parameters into a single model. This method is implemented by capturing interfering factors and predicts the panic attack tendency of people during COVID-19. Early prediction of panic attacks may assist in saving life from unwanted circumstances. It is also observed that comparative study between MLP and stacked-RNN classifier indicates significantly better results of proposed model over MLP classifier in terms of evaluating metrics.

Suicide Attempts Among Depressed Inpatients with Depressive Disorder in a Malaysian Sample

Crisis ◽  
2011 ◽  
Vol 32 (5) ◽  
pp. 283-287 ◽  
Author(s):  
L. F. Chan ◽  
T. Maniam ◽  
A. S. Shamsul
Keyword(s):  
Risk Factors ◽  
Suicidal Ideation ◽  
Suicide Attempt ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Life Event ◽  
Axis I ◽  
A Current

Background: Depressed inpatients constitute a high-risk population for suicide attempts. Aims: To describe the interactions of clinical and psychosocial risk factors influencing suicide attempts among a Malaysian sample of depressed inpatients. Methods: Seventy-five subjects were diagnosed with a depressive disorder according to the Structured Clinical Interview for DSM-IV Axis I Disorders-Clinical Version (SCID-CV). Data on suicide attempts, suicidal ideation (Scale for Suicidal Ideation, SSI), depression severity (Beck’s Depression Inventory, BDI), recent life-event changes (Social Readjustment Rating Scale, SRRS), sociodemographic and other relevant clinical factors were collected. Results: A third of the subjects presented after a current suicide attempt. Significant factors for a current suicide attempt were race, religion, recent life-event changes, suicidal ideation, and alcohol use disorder. Independent predictive risk factors for a current suicide attempt were Chinese race, recent marital separation, major mortgage or loans, and being newly diagnosed with depression. Any recent change in personal habits was shown to be a protective factor against current suicide attempt. Age and gender were nonsignificant factors. Conclusions: The findings are generally consistent with existing studies and highlight the role of psychosocial risk factors.

Interaction Order and Anxiety Disorder: A “Batesonian” Heuristic of Speaking Patterns during Psychotherapy

2012 ◽  
Vol 8 (3) ◽  
pp. 261-272
Author(s):  
Jürgen Streeck
Keyword(s):  
Young Female ◽  
Panic Attacks ◽  
Emotional Experiences ◽  
Social Phobias ◽  
Interactional Theory ◽  
Panic Disorders ◽  
Linguistic Patterns ◽  
Interaction Order ◽  
Interdisciplinary Effort ◽  
Pragmatic Aspects

This paper describes speaking practices enacted by young female in-patients during psychotherapy sessions. The patients are in treatment for anxiety and panic disorders (social phobias). The practices involve prosodic, lexical, and pragmatic aspects of utterance construction. An effect that they share is that the speaker’s embodied presence in her talk and her epistemic commitment to it are reduced as the utterance progresses. The practices are interpreted in light of Bateson’s interactional theory of character formation: as elements of a self-sustaining system Angst (anxiety). The study has grown out of an interdisciplinary effort to explore possible relationships between types of anxiety and the communicative and linguistic patterns by which patients describe panic attacks and other highly emotional experiences.

PANIC ATTACK THERAPY. LITERATURE REVIEW

2020 ◽  
Author(s):  
Борис Юрьевич Приленский ◽  
Георгий Викторович Коленчик
Keyword(s):  
Literature Review ◽  
Panic Attack ◽  
Panic Attacks ◽  
Treatment Scheme ◽  
Modern Methods

На сегодняшний день панические атаки являются достаточно распространенным и трудным для лечения заболеванием. Помимо этого, не существует четкой схемы терапии данной патологии, в связи с чем, считаем целесообразным рассмотреть и проанализировать современные способы терапии данного недуга. Today, panic attacks are a fairly common and difficult disease to treat. In addition, there is no clear treatment scheme for this pathology, in connection with which we consider it appropriate to consider and analyze modern methods of therapy for this disease.

Metabolic syndrome in subjects with bipolar disorder and major depressive disorder in a current depressive episode: Population-based study

2017 ◽  
Vol 92 ◽  
pp. 119-123 ◽  
Author(s):  
Fernanda Pedrotti Moreira ◽  
Karen Jansen ◽  
Taiane de Azevedo Cardoso ◽  
Thaíse Campos Mondin ◽  
Pedro Vieira da Silva Magalhães ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Depressive Episode ◽  
Population Based ◽  
Major Depressive ◽  
Population Based Study ◽  
A Current

PanicMechanic: A Digital Therapeutic Delivering Biofeedback for Panic Attacks (Preprint)

2021 ◽  
Author(s):  
Ellen McGinnis ◽  
Aisling O'Leary ◽  
Reed Gurchiek ◽  
William Copeland ◽  
Ryan McGinnis
Keyword(s):  
Mental Health ◽  
Heart Rate ◽  
Pilot Study ◽  
Alcohol Consumption ◽  
Future Development ◽  
Real World ◽  
Panic Attack ◽  
Eating Habits ◽  
Controlled Trial ◽  
Panic Attacks

UNSTRUCTURED Panic attacks are an impairing mental health problem that affects more than 11% of adults every year. Panic attacks are episodic, and it is difficult to predict when or where they may occur, thus they are challenging to study and treat. To this end, we present PanicMechanic, a novel mobile health (mHealth) application that captures heartrate-based data and delivers biofeedback during panic attacks. We leverage this tool to capture profiles of real-world panic attacks in a largest sample to date and present results from a pilot study to assess the feasibility and usefulness of PanicMechanic as a panic attack intervention. Results demonstrate that heart rate fluctuates by about 15 beats per minute during a panic attack and takes about 30 seconds to return to baseline from peak, cycling 4 to 5 times during each attack and that anxiety ratings consistently decrease throughout the attack. Thoughts about health were the most common trigger during the observed panic attacks, and potential lifestyle contributors include slightly worse stress, sleep, and eating habits, slightly less exercise, and slightly less drug/alcohol consumption than typical. The pilot study revealed that PanicMechanic is largely feasible to use, but would be made more so with simple modifications to the app and particularly the integration of consumer wearables. Similarly, participants found PanicMechanic useful, with 94% indicating that they would recommend PanicMechanic to a friend. These results point toward the need for future development and a controlled trial to establish effectiveness of this digital therapeutic for preventing panic attacks.

scholarly journals Coronavirus disease-19 Pandemic-Induced Panic Disorder

2021 ◽  
Vol 9 (T3) ◽  
pp. 237-239
Author(s):  
Muhammad Surya Husada ◽  
Mustafa M. Amin ◽  
Munawir Saragih
Keyword(s):  
Infectious Disease ◽  
Case Report ◽  
Panic Disorder ◽  
Panic Attack ◽  
Respiratory Symptoms ◽  
Panic Attacks ◽  
Psychosocial Burden ◽  
Her Family ◽  
Common Diagnosis ◽  
The Individual

Background: COVID-19 is a newly emerging infectious disease which is found to be caused by SARS-2. COVID-19 pandemic has spread worldwide causing a rapidly increasing number of mental disorders cases, primarily anxiety disorder. Since majority of panic disorder patients are present with great anxiety in response to their physical or respiratory symptoms, support and encouragement from psychiatrist or therapist are fundamental to alleviate the severity of the symptoms. Case Report: We reported a case of COVID-19 induced panic disorder in a woman, 52 years old, batak tribe who started to experience multiple panic attacks since one of her family members was confirmed to be Covid-10 positive. Conclusion: In general, panic disorder is a common diagnosis, but this case appeared to be interesting as it is induced by COVID-19 pandemic. As in this case, the individual who experienced multiple panic attack is not even a COVID-19 patient but has one of her family member affected by the virus. A wide body of evidence has shown that this pandemic massively contributes to worsening of psychosocial burden in nationwide.

The effectiveness of Spiritual Therapy from Depression to CultureBased in Iranian Women in Germany

2020 ◽  
pp. 1-4
Author(s):  
Bafandegan Mojaver V ◽  
Keyword(s):  
Social Networks ◽  
Depressive Disorder ◽  
Group Intervention ◽  
Scientific Evidence ◽  
Therapeutic Group ◽  
Iranian Women ◽  
Spiritual Therapy ◽  
Clinically Significant ◽  
Experimental Group ◽  
A Current

Based on the lack of scientific evidence in the psychotherapy of depression in refugees, a controlled, prospective study is reported in which the effectiveness of a spiritual therapeutic group intervention is compared to a waiting control condition. A total of 20 people with a current depressive disorder were randomly assigned to either an experimental group (N = 10) or a waiting condition (N = 10). Before we worked, we had the ad in social networks and Persian churches in Frankfurt. For data collection through questionnaires and tests, a minimum of 2 hours was provided for each patient in the 8 weeks. We use Beck Depression Inventory (BDI). The effects were statistically and clinically significant on all parameters. Significant improvements were seen in 10 patients undergoing spiritual therapy (F = 0.405, α = 5 %). “The effectiveness of spiritual therapy from depression to culture-based in Iranian women in Germany” is a well-received, highly efficient group therapy. Waiting is inefficient and even problematic for this group.

Recurrent episodes of intense fear, shortness of breath, racing heart, and sweating

2021 ◽  
pp. 111-118
Author(s):  
Christina L. Macenski
Keyword(s):  
Panic Disorder ◽  
Gold Standard ◽  
Panic Attack ◽  
Selective Serotonin Reuptake Inhibitors ◽  
Behavioral Therapy ◽  
Panic Attacks ◽  
Shortness Of Breath ◽  
Intense Fear ◽  
Therapy Intervention ◽  
Norepinephrine Reuptake

Panic disorder consists of recurrent, unexpected panic attacks accompanied by persistent worry about future attacks and/or a maladaptive change in behavior related to the attacks. A panic attack is defined as an abrupt surge of intense fear or discomfort that reaches a peak within minutes that occurs in conjunction with several other associated symptoms such as palpitations, sweating, trembling, shortness of breath, and chest pain. Features of panic disorder that are more common in adolescents than in adults include less worry about additional panic attacks and decreased willingness to openly discuss their symptoms. All patients with suspected panic disorder should undergo a medical history, physical examination, and laboratory workup to exclude medical causes of panic attacks. Cognitive behavioral therapy (CBT) including interoceptive exposures is the gold standard therapy intervention. Medications including selective serotonin reuptake inhibitors (SSRIs) and serotonin norepinephrine reuptake inhibitors (SNRIs) can also help reduce symptoms.

Panic and Agoraphobia: Gender as a Factor

CNS Spectrums ◽  
2004 ◽  
Vol 9 (9) ◽  
pp. 6-7
Author(s):  
Kimberly A. Yonkers
Keyword(s):  
Risk Factors ◽  
Anxiety Disorder ◽  
Panic Attack ◽  
Abdominal Discomfort ◽  
Panic Attacks ◽  
Hot Flushes ◽  
Lower Income ◽  
Community Studies ◽  
Factors Associated ◽  
The Impact

Anxiety is a common experience, particularly as a response to life stressors. However, severe and uncontrollable anxiety can become a mental disorder. Community studies indicate that 19% of men and 31% of women will develop some type of anxiety disorder during their lifetime. In one such study, the National Comorbidity Survey (NCS), risk factors associated with a lifetime of anxiety disorder included lower income, less education, living in the northeast, and being female. The impact of patient sex is profound in that it increases the likelihood of developing an anxiety disorder by 85% in women compared to men.Panic disorder is characterized by brief but intense recurrent episodes of fear or discomfort. Diagnostic criteria require recurrent panic attacks in 1 month or one panic attack with continuous fear of other attacks. Symptoms associated with the panic attack include palpitations; sweating; feeling short of breath or a choking sensation; nausea or abdominal discomfort; feeling dizzy; having a sense of unreality; numbness or tingling; chills or hot flushes; and a fear of dying or losing control.

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