MOTIVATION IN MAINTENANCE OF PHYSICAL ACTIVITY
维持身体活动的动机
基本信息
- 批准号:2750749
- 负责人:
- 金额:$ 12.27万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-08-15 至 2002-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Randomized trials show consistent benefits among patients who engage in
regular physical activity as part of a structured cardiac rehabilitation
program. However, failure to maintain even moderate levels of physical
activity following rehabilitation has been a fundamental problem. This
research is based on the wellness motivation theory, which consists of
three dimensions: contextual influences, behavioral change processes and
action. The action of interest is physical activity. The purposes of the
study are: 1) to determine which variables in the theory are significant
predictors of physical activity, including state of activity maintenance,
exertion level, and physical fitness, over time, in individuals with
diagnosed CHD who have completed a program of cardiac rehabilitation;
and 2) to develop and evaluate the strength, effect size and
acceptability of an intervention to enhance motivation in the achievement
of physical activity. The proposed study will be conducted in two
phases. In Phase I, a longitudinal fixed cohort of 312 adults will be
sampled following graduation from cardiac rehabilitation. The dependent
variables and predictor variables indexing contextual influences,
behavioral change processes and physical activity will be measured at
three periods: 1) 2 weeks following completion of outpatient cardiac
rehabilitation (T1); 2) 3 months following completion of a cardiac
rehabilitation (T2); and 3) 6 months following completion of cardiac
rehabilitation program (T3). Hierarchical logistic regression will be used
to determine which contextual and behavioral change process variables
are significant predictors of state of physical activity maintenance.
Structural equation modeling will be used to examine the relative impact
of key variables in the theory on exertion level and physical fitness.
The intervention to be designed to Phase II will include variables found
to be predictive of state of activity maintenance, exertion level and
physical fitness. Intervention strength will be evaluated through expert
review of the intervention treatment manual and audiotape transcriptions
of randomly selected intervention sessions. Intervention components will
be retained if they are evaluated as at greater than average strength
for enhancing motivation for physical activity. Effect size will be
determined by changes in participant mean scores on physical activity
measures from baseline to post-intervention (T1-T2). Intervention
acceptability will be assessed through participant evaluations of the
effectiveness of each component and audiotape transcriptions of exit
interviews.
随机试验显示,参与治疗的患者受益一致
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Julie Fleury其他文献
Julie Fleury的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Julie Fleury', 18)}}的其他基金
相似海外基金
Construction of a learning support system through learning behavior prediction using student modeling
使用学生建模通过学习行为预测构建学习支持系统
- 批准号:
23K17604 - 财政年份:2023
- 资助金额:
$ 12.27万 - 项目类别:
Grant-in-Aid for Challenging Research (Exploratory)
Development of Service Process Measurement System based on Behavior Prediction in Nursing-care Service
基于行为预测的护理服务过程测量系统开发
- 批准号:
22K12286 - 财政年份:2022
- 资助金额:
$ 12.27万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Collaborative Research: IMR: MM-1C: Privacy-preserving IoT Analytics and Behavior Prediction on Network Edge
合作研究:IMR:MM-1C:网络边缘上的隐私保护物联网分析和行为预测
- 批准号:
2219866 - 财政年份:2022
- 资助金额:
$ 12.27万 - 项目类别:
Standard Grant
Collaborative Research: IMR: MM-1C: Privacy-preserving IoT Analytics and Behavior Prediction on Network Edge
合作研究:IMR:MM-1C:网络边缘上的隐私保护物联网分析和行为预测
- 批准号:
2219867 - 财政年份:2022
- 资助金额:
$ 12.27万 - 项目类别:
Standard Grant
Object State Change Detection and Human Behavior Prediction Focused on Hand Manipulation
专注于手部操作的物体状态变化检测和人类行为预测
- 批准号:
21J11626 - 财政年份:2021
- 资助金额:
$ 12.27万 - 项目类别:
Grant-in-Aid for JSPS Fellows
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
合作研究:RI:Medium:学习联合人群空间嵌入以进行跨模式人群行为预测
- 批准号:
1955365 - 财政年份:2020
- 资助金额:
$ 12.27万 - 项目类别:
Standard Grant
Collaborative Research: RI: Medium: Learning Joint Crowd-Space Embeddings for Cross-Modal Crowd Behavior Prediction
合作研究:RI:Medium:学习联合人群空间嵌入以进行跨模式人群行为预测
- 批准号:
1955404 - 财政年份:2020
- 资助金额:
$ 12.27万 - 项目类别:
Standard Grant
Behavior Prediction of Traffic Participants based on Micro and Macro features for Urban Automated Driving
城市自动驾驶基于微观和宏观特征的交通参与者行为预测
- 批准号:
20K04397 - 财政年份:2020
- 资助金额:
$ 12.27万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
CAREER: Towards Fatigue Behavior Prediction of Structural Materials through Computationally-Informed Textural and Microstructural Characteristics
职业:通过计算信息的纹理和微观结构特征预测结构材料的疲劳行为
- 批准号:
1751591 - 财政年份:2018
- 资助金额:
$ 12.27万 - 项目类别:
Standard Grant
Research on Behavior Prediction of Cylindrical Line Structure with Rotation in Flow
流动中旋转圆柱线结构行为预测研究
- 批准号:
18H01634 - 财政年份:2018
- 资助金额:
$ 12.27万 - 项目类别:
Grant-in-Aid for Scientific Research (B)














{{item.name}}会员




