Class Descriptions

MBCBT with Older Adults

SW793

Credits:	1
Prerequisites:	None

Pathway Associations

Community Change
Global
Interpersonal Practice	Elective
Mgmt & Leadership
Policy & Political
Program Evaluation
Older Adults	Elective (Host)
Children & Families

Course Description

This course will address how depression & anxiety in late life compromise the quality of life in older adults. The students will be assisted to deepen their understanding of the thought process of those with depression and anxiety. They will learn how MBCT could help improve the disorder and see MBCT as a viable non-pharmacology intervention. The scientific evidence in the effectiveness of mindfulness interventions for mental health issues, and specifically MBCT for prevention of relapse of depression and anxiety will be discussed. The step-by step components of 8 sessions of MBCT wil be discussed and students will have opportunities to practice the skills. They will learn the differences in approaches between MBCT and CBT. Adaptation made to accommodate working with older population will be discussed in detail. The results of pre-post outcome data and qualitative evaluation of the MBCT groups the instructor led with local older adults will be shared. The roles that a MBCT therapist plays and the training needed will be discussed.

Intensive Focus on Privilege, Oppression, Diversity and Social Justice (PODS)

This course integrates PODS content and skills with a special emphasis on the identification of theories, practice and/or policies that promote social justice, illuminate injustices and are consistent with scientific and professional knowledge. Through the use of a variety of instructional methods, this course will support students developing a vision of social justice, learn to recognize and reduce mechanisms that support oppression and injustice, work toward social justice processes, apply intersectionality and intercultural frameworks and strengthen critical consciousness, self-knowledge and self-awareness to facilitate PODS learning.