Literature DB >> 25218081

Biobehavioral examination of fatigue across populations: report from a P30 Center of Excellence.

Debra Lyon1, Nancy McCain2, R K Elswick2, Jamie Sturgill2, Suzanne Ameringer2, Nancy Jallo2, Victoria Menzies2, JoLynne Robins2, Angela Starkweather2, Jeanne Walter2, Mary Jo Grap2.   

Abstract

OBJECTIVES: This article reports the cross-studies analysis of projects from the P30 Center of Excellence for Biobehavioral Approaches to Symptom Management. Although the projects investigated diverse populations, a consistent theoretical and empirical approach guided each project.
METHODS: Common data elements included the following measures of psychobehavioral variables: the PROMIS Short-Form Fatigue Scale, the Center of Epidemiologic Studies Depression Scale, and the Perceived Stress Scale. Plasma cytokines were measured as the shared biological data element.
RESULTS: Data were analyzed from 295 participants with fibromyalgia (n = 72), second trimester pregnancy (n = 73), sickle cell anemia (n = 60), and cardiometabolic risk (n = 91). The mean age of participants was 35.4 years, and the most participants were female. Levels of symptoms were generally elevated across samples; the level of fatigue ranged from 18.9 to 24.7, depressive symptoms from 12.5 to 23.4, and perceived stress from 16.5 to 21.8. Intercorrelations among symptom measures and perceived stress were strong across the samples. However, correlations among psychobehavioral variables and cytokines were variable, indicating a separate relationship for the measures with cytokines.
CONCLUSIONS: Future work in symptom science could benefit from common data elements, including biomarkers, across populations to better develop the taxonomy of symptom profiles across conditions.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Big data; Depressive symptoms: P30; Fatigue: PROMIS

Mesh:

Substances:

Year:  2014        PMID: 25218081      PMCID: PMC4290842          DOI: 10.1016/j.outlook.2014.06.008

Source DB:  PubMed          Journal:  Nurs Outlook        ISSN: 0029-6554            Impact factor:   3.250


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