Thomas L Lenz, Nicole D Gillespie, Jessica J Skradski, Laura K Viereck, Kathleen A Packard, Michael S Monaghan
{"title":"复合生活方式指数的发展及其与生活质量改善的关系:CLI试点研究。","authors":"Thomas L Lenz, Nicole D Gillespie, Jessica J Skradski, Laura K Viereck, Kathleen A Packard, Michael S Monaghan","doi":"10.5402/2013/481030","DOIUrl":null,"url":null,"abstract":"<p><p>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). </p>","PeriodicalId":14536,"journal":{"name":"ISRN Preventive Medicine","volume":"2013 ","pages":"481030"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062884/pdf/","citationCount":"14","resultStr":"{\"title\":\"Development of a Composite Lifestyle Index and Its Relationship to Quality of Life Improvement: The CLI Pilot Study.\",\"authors\":\"Thomas L Lenz, Nicole D Gillespie, Jessica J Skradski, Laura K Viereck, Kathleen A Packard, Michael S Monaghan\",\"doi\":\"10.5402/2013/481030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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). </p>\",\"PeriodicalId\":14536,\"journal\":{\"name\":\"ISRN Preventive Medicine\",\"volume\":\"2013 \",\"pages\":\"481030\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062884/pdf/\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISRN Preventive Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5402/2013/481030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2013/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISRN Preventive Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5402/2013/481030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
摘要
最佳健康的重要组成部分是生活质量(QOL)。一些健康的生活方式行为被独立地证明可以改善生活质量。同时实施多种生活方式行为被认为是困难的,目前的文献缺乏同时评估多种生活方式行为对生活质量的影响。目前的试点研究旨在开发一种方法,将多种生活方式行为量化为单一指标值。然后测量该值与生活质量之间可能存在的相关性。结果表明,可以将多个原始健康生活方式数据点转换为复合值,并且该值的改善与生活质量的改善相关。参与心血管风险降低计划12个月后,研究参与者(N = 35)的复合生活方式指数(CLI)改善了37.4% (P < 0.001)。改善的CLI与参与者对12个月内整体健康状况的评估(r = 0.701, P < 0.001)以及12个月内每月自我报告的不健康天数(r = -0.480, P = 0.004)的统计显著改善相关。
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 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).