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Pain and Multi-Morbidity among Veter...

Saba, Shaddy K.,

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Pain and Multi-Morbidity among Veterans: Theory-guided, Data-driven, and Narrative Approaches /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pain and Multi-Morbidity among Veterans: Theory-guided, Data-driven, and Narrative Approaches // Shaddy K Saba.
Author:	Saba, Shaddy K.,
Description:	1 electronic resource (147 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
Subject:	Social work. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31332768
ISBN:	9798383057476

Pain and Multi-Morbidity among Veterans: Theory-guided, Data-driven, and Narrative Approaches /
Saba, Shaddy K.,

Pain and Multi-Morbidity among Veterans: Theory-guided, Data-driven, and Narrative Approaches /Shaddy K Saba. - 1 electronic resource (147 pages)

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Military veterans experience a high burden of multi-morbid physical and behavioral health problems, including physical pain, posttraumatic stress disorder, and problematic substance use. Researchers have developed several theoretical models to explain multi-morbidity, including the self-medication model, the mutual maintenance model, and the shared vulnerability model. There are varying degrees of evidence for these models and they generally consider bivariate associations, which limits what is known about associations between all three problems. Empirical research with veterans has also yet to explore how existing theories might integrate with one another, which could lead to a more nuanced understanding of symptom processes and move from bivariate symptom associations to associations among three or more problems. There are also many additional biopsychosocial factors ranging from traumatic injuries and military culture to trouble sleeping and physical inactivity that are known to influence individual physical and behavioral health problems but have been less considered in studies of multi-morbidity. This three-paper dissertation seeks to extend knowledge of multi-morbid problems and their etiology among veterans. Paper 1 uses dynamic structural equation modeling with daily diary data to explore trivariate associations between pain, PTSD symptoms, and problematic cannabis use among a sample of veterans (n = 74); this paper seeks to test and extend existing theories of multi-morbidity. Given the breadth of additional biopsychosocial factors that are known to influence pain, paper 2 uses machine learning with the daily diary sample to clarify the predictors of pain - particularly of pain intensity increases and frequent pain - among veterans with multi-morbid PTSD. Finally, paper 3 engages veterans (n = 20) in qualitative and narrative life history interviews to understand their subjective experiences of multi-morbid problems and how military experiences and culture influence such problems.

English

ISBN: 9798383057476Subjects--Topical Terms:

644197
Social work.
Subjects--Index Terms:

Military veterans

Pain and Multi-Morbidity among Veterans: Theory-guided, Data-driven, and Narrative Approaches /
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