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Development of a Composite Lifestyle Index and Its Relationship to Quality of Life Improvement: The CLI Pilot Study

An important component to optimal health is quality of life (QOL). Several healthy lifestyle behaviors have independently shown to improve QOL. The simultaneous implementation of multiple lifestyle behaviors is thought to be difficult, and the current literature lacks the assessment of multiple life...

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Detalles Bibliográficos
Autores principales: Lenz, Thomas L., Gillespie, Nicole D., Skradski, Jessica J., Viereck, Laura K., Packard, Kathleen A., Monaghan, Michael S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062884/
https://www.ncbi.nlm.nih.gov/pubmed/24967137
http://dx.doi.org/10.5402/2013/481030
Descripción
Sumario:An important component to optimal health is quality of life (QOL). Several healthy lifestyle behaviors have independently shown to improve QOL. The simultaneous implementation of multiple lifestyle behaviors is thought to be difficult, and the current literature lacks the assessment of multiple lifestyle behaviors simultaneously with respect to the effect on QOL. This current pilot study sought to develop a method to quantify multiple lifestyle behaviors into a single index value. This value was then measured with QOL for a possible correlation. The results showed that it is possible to convert multiple raw healthy lifestyle data points into a composite value and that an improvement in this value correlates to an improved QOL. After 12 months of participation in a cardiovascular risk reduction program, study participants (N = 35) demonstrated a 37.4% (P < 0.001) improvement in the composite lifestyle index (CLI). The improved CLI demonstrated a correlation with a statistically significant improvement in how participants rated their overall health in 12 months (r = 0.701, P < 0.001) as well as the number of self-reported unhealthy days per month in 12 months (r = −0.480, P = 0.004).