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Effects of Chronic Brain Injury on Quality of Life: A Study in Patients With Left- or Right-Sided Lesion

OBJECTIVES: To test the hypothesis that quality of life (QOL) is made up of different components, and each of these has different anatomic and demographic contributors. DESIGN: Questionnaire-based study. SETTING: Center for Cognitive Neuroscience, University of Pennsylvania. PARTICIPANTS: People wit...

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Detalles Bibliográficos
Autores principales: Chakrabarty, Madhushree, Pflieger, Eliza M., Cardillo, Eileen, Chatterjee, Anjan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7853383/
https://www.ncbi.nlm.nih.gov/pubmed/33543061
http://dx.doi.org/10.1016/j.arrct.2019.100031
Descripción
Sumario:OBJECTIVES: To test the hypothesis that quality of life (QOL) is made up of different components, and each of these has different anatomic and demographic contributors. DESIGN: Questionnaire-based study. SETTING: Center for Cognitive Neuroscience, University of Pennsylvania. PARTICIPANTS: People with chronic brain injury (N=52) volunteered for the study. After excluding patients with severe communication deficits, bilateral lesions, and incomplete data, 42 patients with focal lesions were included in the final study: 22 patients with left hemisphere injury (LHI) (9 women and 13 men; mean age ± SD, 60.6±11.2y [range: 36-83]; mean chronicity ± SD, 11.5±4.2y) and 20 patients with right hemisphere injury [RHI] (16 women and 4 men; mean age ± SD [62.7±12.8y] [range: 31-79]; mean chronicity ± SD 10.1±4.3y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: We administered the RAND36-Item Health Survey (RAND-Version-1.0), Stroke Impact Scale (version 3.0), Positive Affect and Negative Affect Scale, and Distress Thermometer to measure QOL in LHI and RHI patients. Exploratory factor analysis with principal component method reduced these measures to 5 factors, roughly categorized as—(1) physical functioning; (2) general health; (3) emotional health; (4) social functioning; and (5) cognitive functioning. Exploratory analyses attempted to relate these factor scores to demographic variables, neuroanatomical data, and neuropsychological measures. RESULTS: Physical functioning was the biggest contributor to reduced QOL, explaining 32.5%, of the variance. Older age, less education, and larger lesion size predicted poorer physical functioning (P<.001). Age also affected emotional health. (P=.019). Younger patients reported poorer emotional health than older patients. LHI patients reported less satisfaction with their cognitive functioning (P=.009) and RHI patients with their physical functioning (P=.06). Exploratory neuroanatomical analyses hinted at brain areas that may be associated with the perception of disability in each QOL component. CONCLUSIONS: QOL is composed of 5 components. Clinical and demographic factors appear to differentially affect these aspects of patients’ perceived QOL, providing hypotheses for further testing and suggesting potential relations for therapeutic interventions to consider.