首页> 外文学位 >Pathology classification as a predictor of adherence to a community-based exercise program: A retrospective analysis of the 2014 Lyndon State College Health/Fitness Intervention Program.
【24h】

Pathology classification as a predictor of adherence to a community-based exercise program: A retrospective analysis of the 2014 Lyndon State College Health/Fitness Intervention Program.

机译:病理学分类可预测是否遵循社区运动计划:2014年林登州立大学健康/健身干预计划的回顾性分析。

获取原文
获取原文并翻译 | 示例

摘要

The purpose of this study was to determine if pathology classification is a significant predictor of adherence to a community-based exercise program. This study was an examination of differences in exercise adherence rates of subjects with pathology classifications of cardiovascular, metabolic, pulmonary, multiple, or other diagnoses. A retrospective cohort study design was implemented, evaluating an existing database from the 2014 Lyndon State College Health/Fitness Intervention Program. This database was represented by subjects ( N = 44) with a mean age of 65.82 (SD = 10.00) years who participated in a 6-week exercise program consisting of 60 min per day, two days per week. In this database, pathology classification was determined via information contained within a Preparticipation Health Screen Packet, and exercise adherence was defined as the number of sessions attended out of 12 possible sessions. Data were analyzed via an independent groups 2-way analysis of variance (2-way ANOVA), simple linear regression, and multiple linear regression. No significant interaction was found for Pathology x Gender in regards to exercise adherence (F(1,2) = 0.363, p = .698). There was no significant difference between exercise adherence for gender (F(1,1) = 0.299, p = .588), or for pathology (F(1,4) = 1.823, p = .146). Only the cardiovascular and metabolic groups were of sufficient size for regression analysis, and in this regard pathology was found to be significant predictor of exercise adherence (F(1,31) = 4.560, p = .041). While pathology classification of cardiovascular and metabolic was a statistically significant predictor of exercise adherence, only 10.0% of the variance in adherence could be predicted from this model (adjusted R2 = .100). Necessary future research in this area should consider larger and more diverse samples, longer duration exercise programs, and following-up with subjects after program conclusion.
机译:这项研究的目的是确定病理学分类是否是遵守基于社区的锻炼计划的重要预测指标。这项研究是对具有心血管,代谢,肺,多发或其他诊断的病理学分类的受试者的运动依从性差异的检查。实施了一项回顾性队列研究设计,评估了2014年林登州立大学健康/健身干预计划的现有数据库。该数据库由平均年龄为65.82(SD = 10.00)岁的受试者(N = 44)代表,他们参加了为期6周的锻炼计划,每天60分钟,每周2天。在该数据库中,通过参与前健康检查数据包中包含的信息确定病理学分类,并且锻炼依从性定义为12个可能的会话中所参加的会话数。通过独立的组对数据进行2通方差分析(2通ANOVA),简单线性回归和多元线性回归。在运动依从性方面,病理学x性别没有发现显着相互作用(F(1,2)= 0.363,p = .698)。性别(F(1,1)= 0.299,p = .588)或病理学(F(1​​,4)= 1.823,p = .146)的运动坚持之间没有显着差异。只有心血管和代谢组的大小足以进行回归分析,在这一方面,发现病理学是运动依从性的重要预测指标(F(1,31)= 4.560,p = .041)。虽然心血管和代谢的病理学分类是运动依从性的统计学显着预测指标,但根据该模型只能预测依从性变化的10.0%(调整后R2 = .100)。在该领域中必要的未来研究应考虑更大和更多样化的样本,更长的运动计划,以及在计划结束后对受试者进行随访。

著录项

  • 作者

    Ledoux, Gregory J.;

  • 作者单位

    Trident University International.;

  • 授予单位 Trident University International.;
  • 学科 Health sciences.;Pathology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号