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1.
PLoS One ; 19(5): e0293437, 2024.
Article in English | MEDLINE | ID: mdl-38753651

ABSTRACT

BACKGROUND: Post-traumatic stress disorder (PTSD) and chronic pain are highly prevalent comorbid conditions. Veterans dually burdened by PTSD and chronic pain experience more severe outcomes compared to either disorder alone. Few studies have enrolled enough women Veterans to test gender differences in pain outcomes [catastrophizing, intensity, interference] by the severity of PTSD symptoms. AIM: Examine gender differences in the association between PTSD symptoms and pain outcomes among Veterans enrolled in a chronic pain clinical trial. METHODS: Participants were 421 men and 386 women Veterans with chronic pain who provided complete data on PTSD symptoms and pain outcomes. We used hierarchical linear regression models to examine gender differences in pain outcomes by PTSD symptoms. RESULTS: Adjusted multivariable models indicated that PTSD symptoms were associated with higher levels of pain catastrophizing (0.57, 95% CI [0.51, 0.63]), pain intensity (0.30, 95% CI [0.24, 0.37]), and pain interference (0.46, 95% CI [0.39, 0.52]). No evidence suggesting gender differences in this association were found in either the crude or adjusted models (all interaction p-values<0.05). CONCLUSION: These findings may reflect the underlying mutual maintenance of these conditions whereby the sensation of pain could trigger PTSD symptoms, particularly if the trauma and pain are associated with the same event. Clinical implications and opportunities testing relevant treatments that may benefit both chronic pain and PTSD are discussed.


Subject(s)
Chronic Pain , Stress Disorders, Post-Traumatic , Veterans , Humans , Stress Disorders, Post-Traumatic/psychology , Stress Disorders, Post-Traumatic/epidemiology , Female , Male , Middle Aged , Veterans/psychology , Chronic Pain/psychology , Severity of Illness Index , Adult , Aged , Sex Factors , Catastrophization/psychology , Pain Measurement , Sex Characteristics
2.
Pain Manag Nurs ; 2024 May 08.
Article in English | MEDLINE | ID: mdl-38724425

ABSTRACT

OBJECTIVES: The objective of this scoping review was to examine resilience and resilient pain behaviors for those with CLBP in relation to resilience definitions, operationalization (e.g. trait or behavior), and application of theoretical frameworks. DESIGN: This scoping review examined resilience and resilient pain behaviors for those with CLBP in relation to resilience definitions, operationalization (e.g. trait or behavior), and application of theoretical frameworks. DATA SOURCES: To gather data, we used five databases: Cumulative Index to Nursing and Allied Health Literature (CINAHL), Embase, Ovid MEDLINE, PsycInfo, and Scopus. REVIEW/ANALYSIS METHODS: Authors used a systematic data charting spreadsheet (Microsoft Excel) to review and analyze the extracted data. RESULTS: A total of 26 articles, from 2011-2021, were included in the final analysis. A majority of articles were conducted in the United States (11) and cross-sectional secondary data analysis design (13). Resilience definitions varied across the studies. Three studies operationalized resilience as a trait and only one as a behavior. Most studies (20) did not include a theoretical framework. CONCLUSION: The majority cross-sectional design and heterogeneity of a resilience definition indicates resilience research is still emerging. The lack of operationalized resilience, specifically as a behavior, and the limited use of theoretical frameworks suggest advancements in resilience pain research are needed. NURSING PRACTICE IMPLICATIONS: This research has implications for nursing practice to support nurse's holistic perspective and the ability to incorporate resilience within nursing care. This research provides the initial steps to developing standard resilience definitions and frameworks to guide nursing practice.

3.
Pain Med ; 21(Suppl 2): S29-S36, 2020 12 12.
Article in English | MEDLINE | ID: mdl-33313730

ABSTRACT

BACKGROUND: Mindfulness-based interventions (MBIs) are evidence-based nonpharmacological treatments for treating chronic pain. However, the predominant MBI, mindfulness-based stress reduction, has features that pose significant implementation barriers. OBJECTIVES: This study will test two approaches to delivering MBIs for improving Veterans' chronic pain and mental health comorbidities. These two approaches address key implementation barriers. METHODS: We will conduct a four-site, three-arm pragmatic randomized controlled trial, Learning to Apply Mindfulness to Pain (LAMP), to test the effectiveness of two MBIs at improving pain and mental health comorbidities. Mobile+Group LAMP consists of prerecorded modules presented by a mindfulness instructor that are viewed in an online group setting and interspersed with discussions led by a facilitator. Mobile LAMP consists of the same prerecorded modules but does not include a group component. We will test whether either of these MBIs will be more effective than usual care at improving chronic pain and whether the Mobile+Group LAMP will be more effective than Mobile LAMP at improving chronic pain. Comparisons for the primary hypotheses will be conducted with continuous outcomes (Brief Pain Inventory interference score) repeated at 10 weeks, 6 months, and 12 months. The secondary hypotheses are that Mobile+Group LAMP and Mobile LAMP will be more effective than usual care at improving secondary outcomes (e.g., post-traumatic stress disorder, depression). We will also confirm the comparisons for the primary and secondary hypotheses in gender-specific strata. IMPLICATIONS: This trial is expected to result in two approaches for delivering MBIs that will optimize engagement, adherence, and sustainability and be able to reach large numbers of Veterans.


Subject(s)
Chronic Pain , Mindfulness , Veterans , Chronic Pain/therapy , Humans , Learning , Treatment Outcome
4.
IEEE Comput Graph Appl ; 33(3): 82-9, 2013.
Article in English | MEDLINE | ID: mdl-24807994

ABSTRACT

Using widely accessible VR technologies, researchers have implemented a series of multimodal spatial interfaces and virtual environments. The results demonstrate the degree to which we can now use low-cost (for example, mobile-phone based) VR environments to create rich virtual experiences involving motion sensing, physiological inputs, stereoscopic imagery, sound, and haptic feedback. Adapting spatial interfaces to these new platforms can open up exciting application areas for VR. In this case, the application area was in-home VR therapy for patients suffering from persistent pain (for example, arthritis and cancer pain). For such therapy to be successful, a rich spatial interface and rich visual aesthetic are particularly important. So, an interdisciplinary team with expertise in technology, design, meditation, and the psychology of pain collaborated to iteratively develop and evaluate several prototype systems. The video at http://youtu.be/mMPE7itReds demonstrates how the sine wave fitting responds to walking motions, for a walking-in-place application.


Subject(s)
Pain Management/methods , User-Computer Interface , Humans
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