scholarly journals Integrating Metta Into CBT: How Loving Kindness and Compassion Meditation Can Enhance CBT for Treating Anxiety and Depression

2019 ◽  
Vol 1 (3) ◽  
Author(s):  
Simona Stefan ◽  
Stefan G. Hofmann
Keyword(s):  
Social Anxiety ◽  
Positive Affect ◽  
Social Connectedness ◽  
Anxiety And Depression ◽  
Positive Energy ◽  
Core Beliefs ◽  
Review Of The Literature ◽  
Negative Attitudes ◽  
Loving Kindness ◽  
Compassion Meditation

Loving kindness meditation and compassion meditation are traditional Buddhist practices that have recently been introduced and investigated in psychotherapy with promising results. Both meditation practices emphasize metta, a mental state of positive energy and kindness towards oneself and other beings, as opposed to the anger, hostility, or self-loathing that often accompany emotional problems. We conducted a qualitative review of the literature to produce an integrative review. Metta meditation appears to be particularly useful for treating depression and social anxiety, both characterized by low positive affect and negative attitudes and core beliefs about the self. Metta meditation can aid therapy by promoting more adaptive self-images, social connectedness, and emotional experiences. Loving kindness and compassion meditation (metta) have been recently introduced in psychotherapy. Metta addresses shame, anger, and hostility, and promotes an accepting attitude towards oneself. Metta meditation increases positive affect. Metta meditation can be particularly useful in social anxiety and depression. Loving kindness and compassion meditation (metta) have been recently introduced in psychotherapy. Metta addresses shame, anger, and hostility, and promotes an accepting attitude towards oneself. Metta meditation increases positive affect. Metta meditation can be particularly useful in social anxiety and depression.

Association of opioid misuse with anxiety and depression: A systematic review of the literature

2021 ◽  
Vol 84 ◽  
pp. 101978
Author(s):  
Andrew H. Rogers ◽  
Michael J. Zvolensky ◽  
Joseph W. Ditre ◽  
Julia D. Buckner ◽  
Gordon J.G. Asmundson
Keyword(s):  
Systematic Review ◽  
Anxiety And Depression ◽  
Opioid Misuse ◽  
Review Of The Literature

scholarly journals The Importance of Positive Events When Living With Chronic Pain

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 309-309
Author(s):  
Julie Kircher ◽  
Susan Charles ◽  
Nancy Sin ◽  
David Almeida
Keyword(s):  
Chronic Pain ◽  
Negative Affect ◽  
Positive Affect ◽  
Positive Emotions ◽  
Later Life ◽  
Anxiety And Depression ◽  
Positive Events ◽  
Pain Status ◽  
Daily Events ◽  
Multi Level

Abstract Chronic pain is a common condition in later life that is related to high levels of anxiety and depression. One reason why chronic pain is related to affective distress is that this condition may prevent people from deriving the same positive emotions from enjoyable activities. Few studies, however, have examined how exposure and reactivity to daily events differ by chronic pain status. We hypothesized that those with chronic pain will have less exposure and less positive affect reactivity to positive daily events compared to those without chronic pain. Participants from the diary substudy of MIDUS (N = 1,733; nChronicPain = 658, nNoPain = 1,075; M = 56 years-old) completed eight interview days. Chronic pain status was unrelated to the frequency of positive events. Multi-level models revealed that although people with chronic pain had lower levels of daily positive affect, they reacted more positively to daily events (γ = -.033, SE = .010, p < .0001). As a result, levels of daily positive affect on days when people experienced a positive event did not vary by pain status (MChronicPain = 2.73, MNoPain = 2.75). People with chronic pain averaged higher levels of daily negative affect compared to people without chronic pain (MChronicPain = .21, M NoPain =.20), but, on days when they experience a positive event, those with chronic pain had a greater decrease in their negative affect. Findings suggest that positive events impact those with chronic pain more than they do individuals without chronic pain.

scholarly journals Online Training in Specific Meditation Practices Improves Gratitude, Well-Being, Self-Compassion, and Confidence in Providing Compassionate Care Among Health Professionals

2016 ◽  
Vol 22 (2) ◽  
pp. 237-241 ◽  
Author(s):  
Nisha Rao ◽  
Kathi J. Kemper
Keyword(s):  
Health Professionals ◽  
Online Training ◽  
Well Being ◽  
World Health ◽  
Compassionate Care ◽  
Clinician Training ◽  
Loving Kindness ◽  
Self Compassion ◽  
Compassion Meditation ◽  
Health Organization

Mind-body practices that intentionally generate positive emotion could improve health professionals’ well-being and compassion. However, the feasibility and impact of clinician training in these practices is unknown. Data were analyzed from 3 online modules offered to health professionals: ( a) Gratitude, ( b) Positive Word, and ( c) Loving-kindness/Compassion meditation. Paired t tests were used to assess pre- to posttraining changes in gratitude (Gratitude Questionnaire), well-being (World Health Organization Well-Being Index), self-compassion (Neff’s Self-Compassion Scale), and confidence in providing compassionate care (Confidence in Providing Calm, Compassionate Care Scale). The 177 enrollees included diverse practitioners (nurses, physicians, social workers, and others). Training was associated with statistically significant improvements in gratitude (38.3 ± 4.6 to 39.5 ± 3.3), well-being (16.4 ± 4.0 to 17.9 ± 4.2), self-compassion (39.5 ± 8.1 to 43.1 ± 7.6), and confidence in providing compassionate care (73.3 ± 16.4 to 80.9 ± 13.8; P < .001 for all comparisons). Brief, online training appeals to diverse health professionals and improves their gratitude, well-being, self-compassion, and confidence in providing compassionate care.

Loving-kindness meditation increases social connectedness.

Emotion ◽  
2008 ◽  
Vol 8 (5) ◽  
pp. 720-724 ◽  
Author(s):  
Cendri A. Hutcherson ◽  
Emma M. Seppala ◽  
James J. Gross
Keyword(s):  
Social Connectedness ◽  
Loving Kindness

scholarly journals Development and validation of the Core Beliefs Questionnaire in a sample of individuals with social anxiety disorder

2017 ◽  
Vol 207 ◽  
pp. 121-127 ◽  
Author(s):  
Quincy J.J. Wong ◽  
Bree Gregory ◽  
Jonathan E. Gaston ◽  
Ronald M. Rapee ◽  
Judith K. Wilson ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Social Anxiety ◽  
Social Anxiety Disorder ◽  
Core Beliefs ◽  
The Core ◽  
Development And Validation

scholarly journals Social dominance and multiple dimensions of psychopathology: An experimental test of reactivity to leadership and subordinate roles

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250099
Author(s):  
Sheri L. Johnson ◽  
Benjamin Swerdlow ◽  
Jordan A. Tharp ◽  
Serena Chen ◽  
Jennifer Tackett ◽  
...  
Keyword(s):  
Social Anxiety ◽  
Positive Affect ◽  
Social Dominance ◽  
Experimental Approach ◽  
Leadership Role ◽  
Depression Symptoms ◽  
Manic Symptoms ◽  
Multiple Dimensions ◽  
Severity Of Depression ◽  
Subordinate Role

Background Theory and research suggest that social dominance is important for multiple forms of psychopathology, and yet few studies have considered multiple dimensions of psychopathology simultaneously, and relatively few have used well-validated behavioral indices. Method Among 81 undergraduates, we used a well-validated experimental approach of assigning participants to a leadership or subordinate position, and we examined how self-rated severity of depression, social anxiety, manic tendencies, and psychopathy relate to psychophysiological and affective reactivity to this role. Results Consistent with hypotheses, manic symptoms related to more discomfort in the subordinate role compared to the leadership role, as evidenced by more decline in positive affect, more discomfort, and a larger RSA decline, while depression symptoms related to a more positive response to the subordinate role than the leadership role, including more positive affect and more comfort in the assigned role. Social anxiety was related to discomfort regardless of the assigned role, and those with higher psychopathy symptoms did not show differential response to assigned roles. Limitations Findings are limited by the mild symptom levels and absence of hormonal data. Conclusions Findings provide novel transdiagnostic evidence for the importance of social dominance to differentiate diverse forms of psychopathology.

scholarly journals Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors

10.2196/16875 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e16875 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm
Keyword(s):  
Social Anxiety ◽  
Negative Affect ◽  
Positive Affect ◽  
Symptom Severity ◽  
Anxiety Symptom ◽  
Self Report ◽  
Sensor Data ◽  
Digital Phenotyping ◽  
Passive Sensor ◽  
Digital Biomarkers

Background Social anxiety disorder is a highly prevalent and burdensome condition. Persons with social anxiety frequently avoid seeking physician support and rarely receive treatment. Social anxiety symptoms are frequently underreported and underrecognized, creating a barrier to the accurate assessment of these symptoms. Consequently, more research is needed to identify passive biomarkers of social anxiety symptom severity. Digital phenotyping, the use of passive sensor data to inform health care decisions, offers a possible method of addressing this assessment barrier. Objective This study aims to determine whether passive sensor data acquired from smartphone data can accurately predict social anxiety symptom severity using a publicly available dataset. Methods In this study, participants (n=59) completed self-report assessments of their social anxiety symptom severity, depressive symptom severity, positive affect, and negative affect. Next, participants installed an app, which passively collected data about their movement (accelerometers) and social contact (incoming and outgoing calls and texts) over 2 weeks. Afterward, these passive sensor data were used to form digital biomarkers, which were paired with machine learning models to predict participants’ social anxiety symptom severity. Results The results suggested that these passive sensor data could be utilized to accurately predict participants’ social anxiety symptom severity (r=0.702 between predicted and observed symptom severity) and demonstrated discriminant validity between depression, negative affect, and positive affect. Conclusions These results suggest that smartphone sensor data may be utilized to accurately detect social anxiety symptom severity and discriminate social anxiety symptom severity from depressive symptoms, negative affect, and positive affect.

scholarly journals Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors (Preprint)

2019 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Berta Summers ◽  
Sabine Wilhelm
Keyword(s):  
Social Anxiety ◽  
Negative Affect ◽  
Positive Affect ◽  
Symptom Severity ◽  
Anxiety Symptom ◽  
Self Report ◽  
Sensor Data ◽  
Digital Phenotyping ◽  
Passive Sensor ◽  
Digital Biomarkers

BACKGROUND Social anxiety disorder is a highly prevalent and burdensome condition. Persons with social anxiety frequently avoid seeking physician support and rarely receive treatment. Social anxiety symptoms are frequently underreported and underrecognized, creating a barrier to the accurate assessment of these symptoms. Consequently, more research is needed to identify passive biomarkers of social anxiety symptom severity. Digital phenotyping, the use of passive sensor data to inform health care decisions, offers a possible method of addressing this assessment barrier. OBJECTIVE This study aims to determine whether passive sensor data acquired from smartphone data can accurately predict social anxiety symptom severity using a publicly available dataset. METHODS In this study, participants (n=59) completed self-report assessments of their social anxiety symptom severity, depressive symptom severity, positive affect, and negative affect. Next, participants installed an app, which passively collected data about their movement (accelerometers) and social contact (incoming and outgoing calls and texts) over 2 weeks. Afterward, these passive sensor data were used to form digital biomarkers, which were paired with machine learning models to predict participants’ social anxiety symptom severity. RESULTS The results suggested that these passive sensor data could be utilized to accurately predict participants’ social anxiety symptom severity (<i>r</i>=0.702 between predicted and observed symptom severity) and demonstrated discriminant validity between depression, negative affect, and positive affect. CONCLUSIONS These results suggest that smartphone sensor data may be utilized to accurately detect social anxiety symptom severity and discriminate social anxiety symptom severity from depressive symptoms, negative affect, and positive affect.

scholarly journals The Use of Massage Therapy for Reducing Pain, Anxiety, and Depression in Oncological Palliative Care Patients: A Narrative Review of the Literature

ISRN Nursing ◽  
2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Maria Falkensteiner ◽  
Franco Mantovan ◽  
Irene Müller ◽  
Christa Them
Keyword(s):  
Palliative Care ◽  
Cancer Patients ◽  
Complementary Medicine ◽  
Massage Therapy ◽  
Narrative Review ◽  
Anxiety And Depression ◽  
Literature Analysis ◽  
Review Of The Literature ◽  
Pain Anxiety

A considerable number of cancer patients use complementary medicine therapies in order to alleviate different symptoms such as pain, anxiety, and depression, occurring in connection with cancer. This paper explores the question to what extent massage therapies are able to reduce the amount of pain, anxiety, and depression. For this purpose, a systematic literature analysis was carried out in the electronic databases and specialist journals. There is already evidence that massage therapies can influence the symptoms of pain, anxiety, and depression in a positive way.

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