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Exploring trait resilience in associ...

Yi, Joyce P.

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Exploring trait resilience in association with mental and physical health.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploring trait resilience in association with mental and physical health./
作者:	Yi, Joyce P.
面頁冊數:	50 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 1175.
Contained By:	Dissertation Abstracts International67-02B.
標題:	Psychology, Social. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3207817
ISBN:	9780542568855

Exploring trait resilience in association with mental and physical health.
Yi, Joyce P.

Exploring trait resilience in association with mental and physical health. - 50 p.

Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 1175.

Thesis (Ph.D.)--University of Washington, 2006.

This dissertation investigates the construct of resilience in association with the mental and physical health of two medical samples: patients with diabetes (Study 1) and spouse caregivers of patients with Alzheimer's disease (Study 2). In Study 1, 145 patients with diabetes were investigated at baseline (BL) and 1-year follow-up. Resilience was defined by a factor score of Self-Esteem, Self-Efficacy, Self-Mastery, and Optimism. Results indicated that resilience was a predictor of concurrent and future diabetes-related distress and adherence. Further, resilience was found to buffer the effect of increases in diabetes-related distress from worsening glycosylated hemoglobin (HbA1c). Study 2 explored resilience in 123 caregivers and 117 non-caregivers assessed at BL and 2-year follow-up. A Trait Resilience Composite (TRC) was derived from items in the Sense of Coherence, Self-Esteem, and Optimism scales. The TRC predicted concurrent and future metabolic syndrome levels and changes in distress levels in caregivers, but not controls. There was also a trend suggesting the TRC buffered the effect of increases in distress from increases in metabolic syndrome levels in caregivers. Taken together, these studies advance the literature on resilience in several ways. First, resilience is clearly defined by using trait-like attributes, avoiding problems of circularity and external influences that can make resilience difficult to distinguish from outcome variables. Second, the medical environment assures the severity of the stressors chosen for studying resilience, and allows the use of physiological indicators in addition to psychosocial self-reported data. Third, both studies are longitudinal, allowing for further insights into the effect of resilience over time. The study of resilience in these contexts has promising clinical applications with intervention and prevention implications, and the medical field may benefit from its continued advancement.

ISBN: 9780542568855Subjects--Topical Terms:

529430
Psychology, Social.

Exploring trait resilience in association with mental and physical health.
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520 $a This dissertation investigates the construct of resilience in association with the mental and physical health of two medical samples: patients with diabetes (Study 1) and spouse caregivers of patients with Alzheimer's disease (Study 2). In Study 1, 145 patients with diabetes were investigated at baseline (BL) and 1-year follow-up. Resilience was defined by a factor score of Self-Esteem, Self-Efficacy, Self-Mastery, and Optimism. Results indicated that resilience was a predictor of concurrent and future diabetes-related distress and adherence. Further, resilience was found to buffer the effect of increases in diabetes-related distress from worsening glycosylated hemoglobin (HbA1c). Study 2 explored resilience in 123 caregivers and 117 non-caregivers assessed at BL and 2-year follow-up. A Trait Resilience Composite (TRC) was derived from items in the Sense of Coherence, Self-Esteem, and Optimism scales. The TRC predicted concurrent and future metabolic syndrome levels and changes in distress levels in caregivers, but not controls. There was also a trend suggesting the TRC buffered the effect of increases in distress from increases in metabolic syndrome levels in caregivers. Taken together, these studies advance the literature on resilience in several ways. First, resilience is clearly defined by using trait-like attributes, avoiding problems of circularity and external influences that can make resilience difficult to distinguish from outcome variables. Second, the medical environment assures the severity of the stressors chosen for studying resilience, and allows the use of physiological indicators in addition to psychosocial self-reported data. Third, both studies are longitudinal, allowing for further insights into the effect of resilience over time. The study of resilience in these contexts has promising clinical applications with intervention and prevention implications, and the medical field may benefit from its continued advancement.
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