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The Effect of Coronary Health Improvement Project (CHIP) Programs on Managing Risk Factors for Heart Disease.

机译:冠状动脉健康改善项目(CHIP)计划对管理心脏病危险因素的影响。

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摘要

This study investigates the effectiveness of the Coronary Health Improvement Projects (CHIP) intervention program to address the epidemic of obesity, chronic disease, and the progressive development of atherosclerosis. For this retrospective analysis of archival cohort data (N = 688; 60.9% female), the transtheoretical model of change and the socioecological model were used to identify how the effectiveness of the CHIP intervention program varied by gender when covariates were controlled. Dependent variables were change in body mass index (BMI) and cholesterol. Modeling of cholesterol change was not successful (r2 = 0.03), with most of the variation unexplained. Unconditional logistic regression analysis of the top 25% of participants who experienced the most weight loss showed that the odds were lower for participants age 64 years and older compared with participants 52 years of age and younger (OR = 0.48; 95% CI = 0.27-0.83; p .01); male participants responded better, compared with females (OR = 2.00; 95% CI = 1.38-2.91; p .001), and outcomes were better in selected cohorts. The analysis also showed that female participants (n = 419) who self-reported heart attacks had greater odds (OR = 10.62; 95% CI = 2.87-39.36; p .001) compared with those who did not. The implications of social change are important as health care professionals create programs with the potential of meeting the needs of an increasingly obese population with relatively poor dietary habits and sedentary lifestyle. The results have shown that tailoring programs for men and women by age group, instead of grouping all ages together, and closer monitoring of their compliance to the program is a crucial link in prospectively increasing the efficacy of lifestyle change programs.
机译:这项研究调查了冠状动脉健康改善计划(CHIP)干预计划解决肥胖症,慢性病和动脉粥样硬化的流行的有效性。为了对档案队列数据进行回顾性分析(N = 688;女性占60.9%),使用了跨理论的变化模型和社会生态学模型来确定控制协变量时CHIP干预计划的有效性如何随性别而变化。因变量是体重指数(BMI)和胆固醇的变化。胆固醇变化的建模并不成功(r2 = 0.03),大多数变化无法解释。对体重减轻最大的前25%参与者的无条件logistic回归分析显示,与52岁及以下的参与者相比,年龄在64岁及以上的参与者的几率更低(OR = 0.48; 95%CI = 0.27- 0.83; p <.01);与女性相比,男性参与者的反应更好(OR = 2.00; 95%CI = 1.38-2.91; p <.001),并且某些人群的预后更好。分析还显示,与那些没有报告的女性参与者(n = 419)进行自我报告的心脏病发作相比,他们的机会更大(OR = 10.62; 95%CI = 2.87-39.36; p <.001)。随着医疗保健专业人员创建具有满足日益肥胖的饮食习惯和久坐不动生活方式的肥胖人群需求的计划,社会变革的意义非常重要。结果表明,按年龄组别定制男女计划,而不是将所有年龄段分组在一起,并密切监视他们对计划的遵守情况,这是前瞻性提高生活方式改变计划功效的关键环节。

著录项

  • 作者

    Harrington, Rado Shane.;

  • 作者单位

    Walden University.;

  • 授予单位 Walden University.;
  • 学科 Health Sciences Public Health.;Education Health.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 214 p.
  • 总页数 214
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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