Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs Supplement
新颖地使用移动医疗数据来识别 JITAI 补充的脆弱性和接受度状态
基本信息
- 批准号:10564658
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-03-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:AbstinenceAdministrative SupplementAreaAttentionBehaviorBehavioralCancer Prevention InterventionCause of DeathCessation of lifeComplexDataData AnalyticsData CollectionData SetDevelopmentDiscriminationDiseaseEcological momentary assessmentEffectivenessEmotionsEnrollmentEnvironmentEthnic OriginFemaleFoundationsFrequenciesFutureGenderGeographic LocationsGlobal Positioning SystemGoalsGrainHealthHealth TechnologyHealth behaviorHealth behavior changeIndividualInformal Social ControlInterventionInvestigationLeadLinkLow incomeMalignant NeoplasmsMediatingMetadataMethodologyMethodsMinority WomenModelingMorbidity - disease rateOutcomeParticipantPatient Self-ReportPersonsPhysiologyPopulationProcessRaceRecording of previous eventsResearchResearch PersonnelRiskScienceSex OrientationSexual and Gender MinoritiesShapesSmokerSmokingSocial IdentificationSocial supportSocioeconomic StatusSubgroupTestingTimeTobaccoTobacco Use CessationTobacco useWomanWomen&aposs HealthWorkadaptive interventionanalytical methodbasebehavior changebehavioral studycancer preventioncancer riskcontextual factorsdata de-identificationdata harmonizationdata sharingdata streamsdesigndisabilitydisorder preventionevidence baseexperiencefinancial incentivehealth datahealth inequalitieshigh riskimprovedinnovationinterestintersectionalitylow socioeconomic statusmHealthmHealth methodologymembermenmindfulnessmortalityneighborhood disadvantagenovelparent grantparent projectpatient engagementperceived discriminationpreventable deathracial and ethnicrandomized trialsensorsexsmoking cessationsocialsocial determinantssociodemographicsstressorstudy populationsuccesstheoriestime intervaltobacco abstinencetobacco cessation interventiontobacco exposurewillingness
项目摘要
PROJECT SUMMARY
Tobacco is the leading cause of preventable death and disease and is linked to ~20 cancers. Marginalized
women (e.g., racial/ethnic, low socioeconomic status, or sexual and gender minorities) may be more vulnerable
to environmental, social, and contextual stressors that are significant barriers to tobacco abstinence. To
improve the fundamental understanding of how sex and gender relate to health behaviors and disease
prevention, it is critical to use approaches that can identify meaningful intersections of social determinants and
how these shape experiences and health behaviors in subpopulations of understudied, underrepresented, and
underreported of women. Intersectionality posits that social identities interact with one another and with
social/contextual factors to create inequities. Thus, intersectionality is useful for shifting focus from broad
sectors of the population (e.g., all female smokers) to groups with intersecting statuses that may confer greater
health risk (e.g., low income racial/ethnic minority females). Moreover, intersectionality reflects both
between- and within-person processes. The latter highlights that the complex factors (e.g., experiences of
discrimination, encountering tobacco-facilitative environments) that may influence tobacco use are dynamic
and may change depending on time and context. Mobile health methodology (mHealth), such as AutoSense,
ecological momentary assessment (EMA), and global positioning system (GPS) provide real-time objective and
subjective assessments of how and when emotions and behaviors change depending on time and context.
Together, mHealth designs and an intersectionality framework may reveal the dynamic and complex factors
that interact to contribute to inequities in tobacco use and cancer risk in understudied, underrepresented, and
underreported women. The proposed supplement will extend the parent project (U01CA229437, MPI: Nahum-
Shani, Wetter) by harmonizing data across 7 intensive longitudinal mHealth studies of tobacco cessation in 834
diverse women, which will provide adequate power for applying an intersectionality framework to understand
mechanisms linking marginalized status among women to tobacco lapse and cessation outcomes. These fine-
grained data can yield the most detailed investigation of intersectional process to-date, including the complex
interplay between aspects of social identity (SES, race/ethnicity), social (e.g., discrimination) and contextual
factors (e.g., neighborhood disadvantage, exposure to tobacco-facilitative environments), and whether these
mediate the association of intersectional identities with lapse and long term abstinence. The proposed study is
designed to target gaps in the understanding of inequities in tobacco use and health risk among understudied,
underrepresented, and underreported subgroups of women and is directly in line with the first strategic goal of
the Office of Research on Women's Health, to “advance rigorous research that will improve the fundamental
understanding of how sex and gender, among other critical factors, influence health and disease.”
项目概要
烟草是可预防的死亡和疾病的主要原因,并与约 20 种边缘化癌症有关。
妇女(例如,种族/族裔、社会经济地位低下或性少数群体)可能更容易受到伤害
环境、社会和情境压力源是戒烟的重大障碍。
提高对性和性别与健康行为和疾病之间关系的基本理解
预防方面,至关重要的是采用能够识别社会决定因素和社会决定因素之间有意义的交叉点的方法。
这些如何影响未被充分研究、代表性不足和
女性的交叉性立场被低估了,社会身份彼此相互作用。
因此,交叉性有助于将焦点从广泛的领域转移。
人群(例如,所有女性吸烟者)到具有交叉地位的群体,这些群体可能会给予更大的帮助
健康风险(例如,低收入种族/少数民族女性)。
后者强调了复杂的因素(例如,人的经历)。
可能影响烟草使用的歧视、遇到有利于烟草的环境是动态的
并且可能会根据时间和环境而变化,例如 AutoSense、移动健康方法 (mHealth)。
生态瞬时评估(EMA)和全球定位系统(GPS)提供实时目标和
评估情绪和行为如何以及何时根据时间和环境发生变化。
移动医疗设计和交叉框架可以共同揭示动态和复杂的因素
相互作用,导致烟草使用的不平等和研究不足、代表性不足和癌症风险的不平等
拟议的补充文件将扩展父项目(U01CA229437,MPI:Nahum-)
第 834 章
多元化的女性,这将为应用交叉框架来理解
将妇女的弱势地位与吸烟和戒烟结果联系起来的机制。
粒度数据可以对迄今为止的交叉过程进行最详细的调查,包括复杂的
社会认同(社会经济地位、种族/民族)、社会(例如歧视)和背景之间的相互作用
因素(例如,邻里劣势、暴露于有利于烟草的环境),以及这些因素是否
调解交叉身份与戒断和长期戒断之间的关联。
旨在弥补未充分研究对象对烟草使用不平等和健康风险的理解差距,
女性亚群体代表性不足和报告不足,直接符合第一个战略目标
妇女健康研究办公室,“推进严格的研究,以改善基本的健康状况”
了解性和性别以及其他关键因素如何影响健康和疾病。”
项目成果
期刊论文数量(24)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial.
- DOI:10.2196/38342
- 发表时间:2023-06-09
- 期刊:
- 影响因子:5
- 作者:Bell, Lauren;Garnett, Claire;Bao, Yihan;Cheng, Zhaoxi;Qian, Tianchen;Perski, Olga;Potts, Henry W. W.;Williamson, Elizabeth
- 通讯作者:Williamson, Elizabeth
ReVibe: A Context-assisted Evening Recall Approach to Improve Self-report Adherence.
- DOI:10.1145/3369806
- 发表时间:2019-12
- 期刊:
- 影响因子:0
- 作者:Rabbi M;Li K;Yan HY;Hall K;Klasnja P;Murphy S
- 通讯作者:Murphy S
New Directions for Motivational Incentive Interventions for Smoking Cessation.
- DOI:10.3389/fdgth.2022.803301
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Coughlin LN;Bonar EE;Walton MA;Fernandez AC;Duguid I;Nahum-Shani I
- 通讯作者:Nahum-Shani I
MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions.
- DOI:10.3389/fdgth.2022.798025
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Nahum-Shani I;Dziak JJ;Wetter DW
- 通讯作者:Wetter DW
Hybrid Experimental Designs for Intervention Development: What, Why, and How.
- DOI:10.1177/25152459221114279
- 发表时间:2022-07
- 期刊:
- 影响因子:13.6
- 作者:Nahum-Shani, Inbal;Dziak, John J.;Walton, Maureen A.;Dempsey, Walter
- 通讯作者:Dempsey, Walter
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{{ truncateString('Inbal Billie Nahum-Shani', 18)}}的其他基金
Methods for Optimizing the Integration of Adaptive Human-Delivered and Digital SUD/HIV Services
自适应人工交付和数字 SUD/HIV 服务集成的优化方法
- 批准号:
10640292 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Methods for Optimizing the Integration of Adaptive Human-Delivered and Digital SUD/HIV Services
自适应人工交付和数字 SUD/HIV 服务集成的优化方法
- 批准号:
10473761 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Methods for Optimizing the Integration of Adaptive Human-Delivered and Digital SUD/HIV Services
自适应人工交付和数字 SUD/HIV 服务集成的优化方法
- 批准号:
10267870 - 财政年份:2021
- 资助金额:
$ 10万 - 项目类别:
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs
新颖地使用移动医疗数据来识别 JITAI 的脆弱性和接受度状态
- 批准号:
10241985 - 财政年份:2018
- 资助金额:
$ 10万 - 项目类别:
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs
新颖地使用移动医疗数据来识别 JITAI 的脆弱性和接受度状态
- 批准号:
9768419 - 财政年份:2018
- 资助金额:
$ 10万 - 项目类别:
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs
新颖地使用移动医疗数据来识别 JITAI 的脆弱性和接受度状态
- 批准号:
10090968 - 财政年份:2018
- 资助金额:
$ 10万 - 项目类别:
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