scholarly journals Change in social support while participating in behavioral activation for PTSD.

2019 ◽  
Vol 11 (8) ◽  
pp. 905-908
Author(s):  
Sarah B. Campbell ◽  
John Fortney ◽  
Tracy L. Simpson ◽  
Matthew Jakupcak ◽  
Amy Wagner
Keyword(s):  
Social Support ◽  
Behavioral Activation

scholarly journals Comparing the Protective Value of Human and Pet Social Support on Well-Being of Older Adults During COVID-19

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 936-936
Author(s):  
Juliet Sobering ◽  
Lisa Brown
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Positive Emotions ◽  
Protective Factor ◽  
Behavioral Activation ◽  
Well Being ◽  
Psychological Benefits ◽  
Beneficial Effects ◽  
Age Related ◽  
Media Reports

Abstract Older adults are vulnerable to particular risk factors that contribute to lower well-being and poorer functioning. With the COVID-19 pandemic, the importance of social support has been highlighted in media reports because of its well-known beneficial effects on overall well-being. However, as adults age, social networks, contacts, and activities naturally decrease. These age-related losses are often difficult, if not impossible, to replace. Pets have recently been recognized as a valuable source of social support for many older adults, providing both physical and psychological benefits through mutual connection and behavioral activation. Previous studies have examined how human social support or pet social support enhance older adults’ well-being (i.e., positive emotions, engagement, relationships, accomplishment, and meaning). However, there is a gap in our scientific knowledge as previous research has not evaluated if pet social support can serve as a protective factor in the absence of adequate human social support. Current analyses, with 141 older adult participants, suggests that pet owners with a positive attachment to their pet experience higher well-being as pets serve as a coping resource that protects against common life stressors. Similar to human social support, pet social support appears to be a protective factor that also promotes and fosters a sense of well-being in older adults. Support in late life is especially important for families and agencies to be attuned to, especially during a global pandemic.

scholarly journals Green Care as Psychosocial Intervention for Depressive Symptoms: What Might Be the Key Ingredients?

2017 ◽  
Vol 24 (3) ◽  
pp. 199-208 ◽  
Author(s):  
Rebecca E. Salomon ◽  
Alison D. Salomon ◽  
Linda S. Beeber
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Psychosocial Intervention ◽  
Self Efficacy ◽  
Behavioral Activation ◽  
Psychosocial Interventions ◽  
Well Being ◽  
Psychiatric Nurses ◽  
Targeted Interventions ◽  
Individual Participant

BACKGROUND: Green care is an umbrella term for psychosocial interventions that integrate biotic and abiotic elements of nature to promote an individual’s health and well-being. Green care decreases depressive symptoms but the parts of the interventions that lead to this effect are unknown. OBJECTIVES: Review of literature to evaluate perceived social support, behavioral activation, and self-efficacy as key ingredients to decrease depressive symptoms in psychosocial interventions and extrapolate those mediators, or key ingredients, to green care. DESIGN: A literature search of three databases was conducted to find relevant studies examining a psychosocial intervention for adults, the mediator of interest, and depressive symptoms. RESULTS: Evidence supports behavioral activation, social support, and self-efficacy as mediators of psychosocial interventions to improve depressive symptoms. CONCLUSIONS: Green care offers a portal for individuals with different depressive symptoms and severities to be treated alongside each other while receiving targeted interventions to meet the needs of each individual participant. Additionally, it offers the opportunity for psychiatric nurses to concurrently target all three active key ingredients.

scholarly journals Predicting Risk-Taking Behaviors Based on the Role of Perceived Social Support Components, Emotional Expression and Brain- Behavioral Systems in Addicts

2019 ◽  
Vol 25 (4) ◽  
pp. 282-297
Author(s):  
Esmaeil Sadri Damirchi ◽  
◽  
Pezhman Honarmand Ghojebegloo ◽  
Seyed Mohammad Basir Amir ◽  
Behzad Gholizade ◽  
...  
Keyword(s):  
Social Support ◽  
Emotional Expression ◽  
Risk Taking ◽  
Substance Dependence ◽  
Behavioral Activation ◽  
Perceived Social Support ◽  
Behavioral Systems ◽  
Substance Dependent ◽  
Risk Taking Behaviors

Aims The prevalence of risk-taking behaviors is a severe health threat. According to rapid social changes, it has recently been considered by health organizations, law enforcement, and social policymakers. The present study aimed to predict risk-taking behaviors based on the role of perceived social support components, emotional expression, and brain-behavioral systems in substance-dependent patients. Methods & Materials This was a descriptive correlational study. The statistical population of the study included all substance-dependent patients referring to substance dependence treatment centers in Ardabil City, Iran, in 2018. In total, 113 substance-dependent patients were selected by convenience sampling method. The study instruments included Rajaee and shafieechr('39')s Risk-Taking Behaviors Questionnaire, Zimetchr('39')s Multiple Scale of Perceived Social Support (MSPSS), King, and Emmonschr('39')s Emotional Expressiveness Questionnaire (EEQ), and Carver and Whitechr('39')s Brain-Behavioral Systems Questionnaire (BIS/BAS). The obtained data were analyzed using Pearson correlation coefficient and simultaneous-entry multiple regression analysis in SPSS. Findings The achieved results suggested a significant negative correlation between perceived social support from family, friends, and others, with the risk-taking behaviors of substance-dependent patients (P<0.01). There was a significant positive correlation between negative emotional expression and the risk-taking behaviors of substance-dependent patients among emotional expressiveness components (P<0.01). Moreover, among the components of brain-behavioral systems, there was a significant positive correlation between behavioral activation system and risk-taking behaviors (P<0.01). Additionally, the regression analysis results revealed that approximately 49% of the total variance of risk-taking behaviors of patients with substance dependence was predicted based on perceived social support components, emotional expression, and brain-behavioral systems (P<0.001). Conclusion In general, perceived social support from family and friends, negative emotional expression, and behavioral activation system can predict risk-taking behaviors in substance-dependent patients.

Identifying critical psychotherapy targets in serious cardiac conditions: The importance of addressing coping with symptoms, healthcare navigation, and social support

2019 ◽  
Vol 17 (5) ◽  
pp. 531-535
Author(s):  
David B. Bekelman ◽  
Christopher E. Knoepke ◽  
Carolyn Turvey
Keyword(s):  
Social Support ◽  
Clinical Trial ◽  
Case Management ◽  
Kansas City ◽  
Behavioral Activation ◽  
A Priori ◽  
Patient Needs ◽  
Psychosocial Needs ◽  
Study Objective ◽  
Seriously Ill

AbstractObjectiveIn seriously ill cardiac patients, several psychotherapy efficacy studies demonstrate little to no reduction in depression or improvement in quality of life, and little is known about how to improve psychotherapies to best address the range of patient needs. An interpersonal and behavioral activation psychotherapy was a key component of the Collaborative Care to Alleviate Symptoms and Adjust to Illness (CASA) multisite randomized clinical trial. Although depressive symptoms did improve in the CASA trial, questions remain about how best to tailor psychotherapies to the needs of seriously ill patient populations. The study objective was to describe psychosocial needs emerging during a clinical trial of a palliative care and interpersonal and behavioral activation psychotherapy intervention that were not specifically addressed by the psychotherapy.MethodDuring the CASA trial, patient needs were prospectively tracked by the psychotherapist in each visit note using an a priori code list. Preplanned analysis of study data using directed content analysis was conducted analyzing the a priori code list, which were collapsed by team consensus into larger themes. The frequency of each code and theme were calculated into a percentage of visits.ResultA total of 150 patients received one or more visits from the therapist and were included in the analysis. Participants screened positive for depressive disorder (47%), had poor heart failure-specific health status (mean Kansas City Cardiomyopathy Questionnaire score = 48.6; SD = 17.4), and multiple comorbidities (median 4.3). Common needs that emerged during the therapy included difficulty coping with fatigue (48%), pain (28%), and satisfaction issues with medical care (43%). The following broader themes emerged: social support (77% of sessions), unmet symptom needs (67%), healthcare navigation (48%), housing, legal, safety, and transportation (32%), and end of life (12%).Significance of resultsCoping with chronic symptoms and case management needs commonly emerged during psychotherapy visits. Future psychotherapy interventions in seriously ill populations should consider the importance of coping with chronic symptoms and case management.

Conflict Avoidance in Old Age

GeroPsych ◽  
2017 ◽  
Vol 30 (2) ◽  
pp. 61-70 ◽  
Author(s):  
Lia Oberhauser ◽  
Andreas B. Neubauer ◽  
Eva-Marie Kessler
Keyword(s):  
Social Support ◽  
Perceived Social Support ◽  
Well Being ◽  
Cross Sectional Study ◽  
Conflict Avoidance ◽  
Subjective Well Being ◽  
Sectional Study ◽  
Cross Sectional ◽  
Adult Lifespan ◽  
Set Up

Abstract. Conflict avoidance increases across the adult lifespan. This cross-sectional study looks at conflict avoidance as part of a mechanism to regulate belongingness needs ( Sheldon, 2011 ). We assumed that older adults perceive more threats to their belongingness when they contemplate their future, and that they preventively react with avoidance coping. We set up a model predicting conflict avoidance that included perceptions of future nonbelonging, termed anticipated loneliness, and other predictors including sociodemographics, indicators of subjective well-being and perceived social support (N = 331, aged 40–87). Anticipated loneliness predicted conflict avoidance above all other predictors and partially mediated the age-association of conflict avoidance. Results suggest that belongingness regulation accounts may deepen our understanding of conflict avoidance in the second half of life.

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