Online Tailored Interventions & Relational Agents for Exercise and Sun Protection

在线定制干预措施

• 批准号: 7255108
• 负责人: Wayne F Velicer
• 金额: $ 56.46万
• 依托单位: UNIVERSITY OF RHODE ISLAND
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7255108
• 关键词: Adoption; Behavior; Cancer Prevention Intervention; Characteristics; Collaborations; Computers; Condition; Control Groups; Depth; Effectiveness; Effectiveness of Interventions; Environment; Exercise; Expert Systems; General Population; Goals; Individual; Internet; Intervention; Knowledge; Life Style; Malignant Neoplasms; Modeling; Multimedia; Population; Rate; Recruitment Activity; Research; Research Personnel; Research Project Grants; Rhode Island; Risk; Risk Behaviors; Risk Factors; Sampling; Series; Site; Subgroup; Sun Exposure; System; Testing; Theoretical model; Universities; Work; base; behavior change; cancer prevention; cost; design; innovation; novel strategies; sedentary

DESCRIPTION (provided by applicant): The overarching goal of this research project is to revise and enhance a multimedia computer-based multiple risk factor intervention for cancer prevention, using the internet to reach a general population. Two innovative, individualized, easily disseminated, low-cost, and interactive interventions, both for multiple behaviors (sun protection and exercise adoption), will be developed and evaluated in comparison to a control condition. The first intervention involves adapting our effective multimedia expert system interventions to the internet environment. The second intervention builds on the first with the additional inclusion of a Relational Agent, a recently developed computer-based approach to establishing a personal relationship typically missing on internet sites. Both systems will employ the same theoretical model of behavior change, the Transtheoretical Model, as the deep knowledge, and all systems will employ empirically based decision rules. The design is a 3 Group (Control, Internet, Internet plus Relational Agent) x 3 Occasions (0, 12, 24 Months) with intervention occurring during the first 12 months. A representative national sample of 1639 individuals at risk for both behaviors will be recruited. The primary aims are: (1) To develop and assess the effectiveness of a tailored internet intervention on a national sample; (2) To develop and assess the effectiveness of the internet intervention enhanced by a relational agent; and (3) To determine if the intervention with the relational agent can outperform the regular tailored internet intervention. The secondary aims are: (1) To determine if the two interventions are differentially effective with each behavior and with different subgroups, and (2) To determine if the relational agent intervention is utilized more often for increasing exercise than for sun protection. This study targets two major risk factors for cancer; is designed to treat the behaviors on a population basis, using proactive recruitment strategies; intervenes on multiple behaviors simultaneously, thereby producing greater impacts for cancer prevention; utilizes one of the most promising approaches to low cost population based interventions for health-related behavior change, namely the internet; and develops and tests a promising new approach to increasing the utilization and effectiveness of internet-based interventions, relational agents.

描述（由申请人提供）：本研究项目的总体目标是修改和加强多媒体计算机为基础的多风险因素干预癌症预防，使用互联网，以达到一般人群。两个创新的，个性化的，易于传播的，低成本的，互动的干预措施，无论是多种行为（防晒和运动的采用），将开发和评估相比，控制条件。第一个干预措施涉及我们有效的多媒体专家系统干预措施，以适应互联网环境。第二个干预措施建立在第一个基础上，另外包括一个关系代理，最近开发的基于计算机的方法来建立个人关系，通常在互联网网站上失踪。这两个系统都将采用相同的行为变化理论模型，即跨理论模型，作为深层知识，所有系统都将采用基于经验的决策规则。设计为3组（对照组、互联网组、互联网+关系型代理人组）x 3种情况（0、12、24个月），在前12个月进行干预。将招募1639名有这两种行为风险的代表性国家样本。主要目标是：（1）开发和评估一个定制的互联网干预对国家样本的有效性;（2）开发和评估互联网干预的有效性，通过一个关系代理增强;（3）以确定与关系代理的干预是否可以超过定期定制的互联网干预。次要目标是：（1）确定这两种干预措施对每种行为和不同的亚组是否有不同的效果，（2）确定关系型代理干预措施是否更常用于增加锻炼而不是防晒。该研究针对癌症的两个主要危险因素;旨在以人群为基础，采用积极的招募策略来治疗行为;同时干预多种行为，从而对癌症预防产生更大的影响;利用最有前途的方法之一，即互联网，以低成本人群为基础的健康相关行为改变干预;并开发和测试一种有前途的新方法，以提高利用和有效性的基于互联网的干预措施，关系代理。