Social influence of family networks on T2D risk perceptions and health behavior
家庭网络对 T2D 风险认知和健康行为的社会影响
基本信息
- 批准号:8214049
- 负责人:
- 金额:$ 7.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-19 至 2013-09-18
- 项目状态:已结题
- 来源:
- 关键词:AdoptionAffectAmericanAwardBehaviorBehavioralBehavioral GeneticsCaloriesCharacteristicsChronicClinicalCollectionCommunicationConflict (Psychology)DataDevelopmentDiabetes MellitusDietDisciplineDiseaseEnvironmental Risk FactorEpidemiologyFamilyFamily health statusFamily memberFatty acid glycerol estersGenesGenetic CounselingGenomicsGoalsHealthHealth behaviorIncidenceIndividualInfluentialsInternetInterventionKnowledgeLearningLife StyleLiteratureMeasuresMedicalMentorsMethodologyMethodsNon-Insulin-Dependent Diabetes MellitusOnline SystemsParticipantPathway AnalysisPathway interactionsPatternPerceptionPhysical activityPopulationPrediabetes syndromePreventive InterventionPsychologyPublic HealthRecording of previous eventsResearchResearch TrainingRiskRisk AssessmentRisk FactorsRoleSocial NetworkSoftware ToolsSurveysSystemTelephone InterviewsTraining ProgramsTranslatingUnited Statesbasebehavior changebehavioral/social sciencecareercohesioncontextual factorscostcyber infrastructuredemographicsdesigndiabetes riskdisease diagnosisdisorder preventionfamily influenceimprovedinnovationlifestyle factorsmeetingsnovelpreferencepreventrisk perceptionsocialstatisticstool
项目摘要
DESCRIPTION (provided by applicant): The objective of this research training program is to apply social network methods to understand the role and influence of the family network system on the communication of risk information and engagement in risk-reducing behaviors in families at risk of type 2 diabetes (T2D) based on family health history (FHH). Although lifestyle factors can help prevent or delay the onset of T2D, the public health burden of T2D continues to rise. FHH is a risk factor for T2D and can help identify those at increased risk who may benefit from targeted interventions. The family network system may be an ideal context to develop such interventions, since family members share behaviors, environmental influences, and, if biologically related, genes. Family-based interventions aimed at increased understanding of FHH and promoting adoption of risk-reducing behaviors among those at increased risk of T2D may be particularly effective. However, the role of social influence on risk-reducing behaviors within families at risk of T2D has not been examined. The proposed research will fill this gap in the literature. This is a one year mixed-methods study involving the collection of qualitative data through telephone interviews and quantitative survey data collected either online or through telephone interviews depending on participants' preference. Quantitative survey data will be collected using Cyber-Infrastructure for Inquiring Knowledge Networks on the Web (C-IKNOW), a free web-based software tool designed to collect and analyze social network data. Measures that will be assessed include participant information (demographics, health behaviors, and personal health information), perceived FHH of T2D and related conditions, and network assessment via the telephone interview and/or online survey (enumeration of family members including social kin, communication of FHH-based risk information, encouragement and co-engagement related to lifestyle behaviors, and family functioning characteristics such as cohesion, conflict, expressiveness). Social network methods will be used to investigate whether patterns of communication regarding T2D relevant FHH information and behavioral encouragement are associated with health behaviors that reduce T2D risk in at-risk families. Findings from this study could contribute to the development of novel interventions that capitalize on established patterns of social influence within at-risk families. The scientific disciplines represented by the proposed mentor include quantitative psychology, statistics, and social network methodology. The scientific disciplines represented by the candidate include genetic counseling, public health genomics (with an emphasis on social and behavioral science), and applied epidemiology.
PUBLIC HEALTH RELEVANCE: Social network methods will be used to identify family members who are central to the dissemination of family risk information and influential in motivating engagement in risk-reducing behaviors among family members at risk of type 2 diabetes based on family history. The proposed research training program has relevance to public health because employing influential family members identified through social network methods in intervention efforts may be particularly effective in achieving sustainable behavior change.
描述(由申请人提供):本研究培训计划的目的是应用社会网络方法,了解家庭网络系统对基于家族健康史(FHH)的2型糖尿病(T2 D)风险家庭中风险信息沟通和风险降低行为参与的作用和影响。虽然生活方式因素可以帮助预防或延迟T2 D的发作,但T2 D的公共卫生负担仍在继续上升。FHH是T2 D的一个风险因素,可以帮助识别那些可能从有针对性的干预措施中受益的风险增加的人。家庭网络系统可能是开发此类干预措施的理想环境,因为家庭成员共享行为,环境影响,如果有生物学相关性,还共享基因。以家庭为基础的干预措施,旨在增加对FHH的理解,并促进T2 D风险增加的人群采取降低风险的行为,可能特别有效。然而,社会影响对T2 D风险家庭内风险降低行为的作用尚未得到研究。这项研究将填补文献中的这一空白。 这是一项为期一年的混合方法研究,包括通过电话访谈收集定性数据,以及根据参与者的偏好在网上或通过电话访谈收集定量调查数据。将使用网上查询知识网络网络基础设施(C-IKNOW)收集定量调查数据,这是一个免费的网络软件工具,旨在收集和分析社会网络数据。将评估的措施包括参与者信息(人口统计学、健康行为和个人健康信息)、T2 D和相关疾病的感知FHH以及通过电话访谈和/或在线调查进行的网络评估(列举家庭成员,包括社会亲属,基于FHH的风险信息的沟通,与生活方式行为相关的鼓励和共同参与,以及家庭功能特征,如凝聚力,冲突、表现力)。将使用社交网络方法来调查关于T2 D相关FHH信息和行为鼓励的沟通模式是否与降低高危家庭中T2 D风险的健康行为相关。这项研究的结果可能有助于开发新的干预措施,利用风险家庭中的既定社会影响模式。 所建议的导师所代表的科学学科包括定量心理学,统计学和社会网络方法论。候选人所代表的科学学科包括遗传咨询,公共卫生基因组学(重点是社会和行为科学)和应用流行病学。
公共卫生相关性:社会网络方法将用于确定家庭成员谁是家庭风险信息的传播和影响力的基础上,在2型糖尿病的风险的家庭成员中的风险降低行为的动机参与的中心。拟议的研究培训计划与公共卫生有关,因为通过社会网络方法在干预工作中识别出有影响力的家庭成员,可能对实现可持续的行为改变特别有效。
项目成果
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