Post Traumatic Stress Disorder Clinical Trial
Official title:
Post-traumatic Stress Disorder (PTSD) Symptoms in Later Life: the Contribution of Cumulative Trauma Exposure, Emotion Regulation, Group Identifications, and Socioeconomic Deprivation
Older adults are becoming a growing proportion of people utilising mental health services.
However, the needs of this population are poorly understood despite the evidence that mental
health conditions are manifested differently in old age. One of those conditions is Post
Traumatic Stress Disorder (PTSD) which has been associated with an increased risk of adverse
outcomes in old age, including health problems, difficulties in daily functioning, less
satisfaction with life and multiple psychiatric co-morbidities, such as depression and
anxiety. Despite the serious consequences, PTSD symptoms in old age tend to be underreported
or misperceived as a physical illness or part of an ageing process.
Traumatic life experiences do not necessarily lead to PTSD. Psychological resources,
including emotional stability and social support, allow individuals to find appropriate
coping strategies and maintain well-being in old age. Group identification, defined as a
sense of belonging to a specific group, influences the response to social support and may be
important in predicting distress in old age. On the other hand, socioeconomic deprivation is
likely to increase this distress as exposure to traumatic events is more prevalent in
disadvantaged populations.
The present study will investigate the impact of those factors on PTSD symptoms in later
life. The researcher will recruit 85 older adults from the Older People Psychological
Therapies Service, who are in receipt of psychological treatment for PTSD, anxiety or
depression. Participants will be asked to provide basic demographic information, which will
be used to describe the participant characteristics and to estimate the degree of
socioeconomic deprivation. Participants will also complete five measures to screen for
cognitive impairment and measure PTSD symptoms, lifetime trauma exposure, emotion regulation
and group identification.
The findings will help improve the diagnostic process and development of psychological
treatments for PTSD in older adults by expanding our knowledge of this condition in later
life.
Aim of the study:
To investigate the importance and relative contribution of interpersonal and intra-individual
factors, including lifetime trauma exposure, emotion regulation, social group belonging and
socioeconomic deprivation in predicting PTSD symptoms in older adults.
Primary research questions:
1. Will greater lifetime trauma exposure predict higher levels of PTSD symptoms in older
adults?
2. Will greater difficulties in emotion regulation predict higher levels of PTSD symptoms
in older adults?
3. Will a lower number of group identifications predict higher levels of PTSD symptoms in
older adults?
4. Will higher levels of socioeconomic deprivation predict higher levels of PTSD symptoms
in older adults?
Secondary research questions:
1. What is the relative contribution of lifetime trauma exposure in predicting levels of
PTSD symptoms in older adults?
2. What is the relative contribution of difficulties in emotion regulation in predicting
levels of PTSD symptoms in older adults?
3. What is the relative contribution of group identifications in predicting levels of PTSD
symptoms in older adults?
4. What is the relative contribution of socioeconomic deprivation in predicting levels of
PTSD symptoms in older adults?
Design:
The study will employ a cross-sectional, within-groups design. An opportunistic clinical
sample of older adults, aged 65 and over, in receipt of psychological treatment for PTSD,
anxiety or depression in the Older People Psychological Therapies Service in NHS Tayside will
be recruited. Participants will be asked to provide basic demographic information and to
complete five measures, screening for cognitive impermanent and measuring PTSD symptoms,
lifetime trauma exposure, emotion regulation and group identification. Correlation and
multiple regression analyses will be used to answer the research hypotheses.
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