High-density markers of mother-infant bio-behavioral activity "in the wild": Developing a mobile-sensing paradigm to examine transmission of mental health risks

“野外”母婴生物行为活动的高密度标记：开发移动传感范例来检查心理健康风险的传播

• 批准号: 9750800
• 负责人: Kaya de Barbaro
• 金额: $ 11.84万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-16 至 2021-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9750800
• 关键词: Affect; Anxiety; Behavioral; Biological; Caregiver Burden; Caregivers; Child; Child Rearing; Clinical; Complex; Data; Data Collection; Data Set; Detection; Development; Distress; Ecosystem; Emerging Technologies; Emotional; Feedback; Foundations; Future; Generations; Goals; Health; Home environment; Human Development; Individual; Individual Differences; Infant; Informal Social Control; Intervention; Laboratories; Longitudinal Studies; Machine Learning; Measures; Mental Depression; Mental Health; Mental disorders; Modeling; Mood Disorders; Moods; Mothers; Motion; Neurobiology; Outcome; Parents; Participant; Pattern; Personal Satisfaction; Physiology; Positioning Attribute; Predisposition; Preventive; Process; Psychopathology; Regulation; Research; Resolution; Risk; Risk Factors; Sampling; Scientist; Social Interaction; Stress; Structure; System; Systems Development; Testing; Time; Training; Work; biobehavior; caregiving; computerized tools; density; developmental psychology; discrete time; experience; high risk; infancy; innovation; maternal depression; novel marker; programs; psychobiologic; response; sensor; sensor technology; skills; social; stress disorder; theories; trait; transmission process; wearable sensor technology

Project Summary Major theories of socioemotional development suggest that adaptive patterns of self-regulation reflect the accumulation of thousands of individual daily experiences of distress. In particular, parents’ efforts to regulate their infants’ distress are thought to provide critical inputs to developing self-regulation skills. Factors affecting caregiving, such as caregiver stress or mood disorders, are thought to limit parents’ ability to provide this early support. Thus, early-emerging patterns of mother-infant interaction are theorized to be an important mechanism by which mental health risks are transmitted from caregivers to their children. However, empirical evidence for these theories are scarce, as it has not been possible to systematically capture episodes of distress as they occur in day-to-day mother and infant activity. Additionally, most studies cannot disentangle complex interactions between infant and maternal psychobiological factors. For example, highly fussy infants are more likely to stress and overwhelm their parents, thereby likely affecting parental regulation efforts and potentially exacerbating their own early biological predispositions. Datasets capturing the details of daily interactions between mothers and their infants are needed to access the basic bio-behavioral mechanisms of developing psychopathology risk. In the future, such rich datasets could also provide a foundation for emerging “just in time” interventions that could provide mothers with real-time support and reassurance during day-to-day activities. To thus advance the field of developmental psychopathology, this proposal will leverage emerging “wearable” or mobile-sensor technologies to capture episodes of infant distress and subsequent maternal regulation efforts as they occur in the typical day-to-day activities of infants and their mothers. The research aims of this proposal are 1) to develop a mobile-sensing platform that will automatically detect detailed markers of mother-infant distress-related activity as participants go about their daily lives, captured via a synchronized suite of “wearable” physiology, audio and proximity sensors, and once validated, to use this platform to 2) investigate the daily mechanisms of maladaptive mother-infant interaction dynamics The training goals of this proposal are to 1) develop my expertise with state-of-the art computational tools to study mother-infant activity in the “wild”, allowing me unprecedented access to the dynamic processes of bio- behavioral development, and 2) to provide me the opportunity bridge my work to the domain of developmental psychopathology. The proposed K01 is thus a key step in my goal to develop a research program that can harness the rich dynamics of day-to-day activity to support theoretically-driven clinical innovations.

项目概要 社会情绪发展的主要理论表明，自我调节的适应性模式反映了 数千个人日常苦恼经历的积累，特别是父母的努力调节。 他们的婴儿的痛苦被认为是影响自我调节技能的关键因素。 人们认为，照顾者的压力或情绪障碍等照顾问题会限制父母尽早提供这种照顾的能力 因此，从理论上讲，早期出现的母婴互动模式是一个重要的因素。 然而，心理健康风险从照顾者传递给孩子的机制却是经验性的。 这些理论的证据很少，因为不可能系统地捕捉 此外，大多数研究都无法理清母亲和婴儿日常活动中出现的痛苦。 婴儿和母亲心理生物学因素之间复杂的相互作用，例如，高度挑剔的婴儿。 更有可能给父母带来压力和不知所措，从而可能影响父母的监管努力 可能会加剧他们自己的早期生物倾向。 需要捕获母亲和婴儿之间日常互动细节的数据集来访问 未来，如此丰富的数据集可以揭示发展精神病理学风险的基本生物行为机制。 还为新兴的“及时”干预措施奠定了基础，这些干预措施可以为母亲提供实时信息 在日常活动中提供支持和保证，从而推动发展领域。 精神病理学，该提案将利用新兴的“可穿戴”或移动传感器技术来捕获 典型的日常生活中发生的婴儿窘迫事件以及随后的母亲调节努力 婴儿及其母亲的活动。 本提案的研究目标是1）开发一个能够自动检测的移动传感平台 参与者日常生活中与母婴痛苦相关的活动的详细标记，通过捕获 一套同步的“可穿戴”生理学、音频和接近传感器，一旦经过验证，就可以使用它 2）调查适应不良的母婴互动动态的日常机制 该提案的培训目标是 1）利用最先进的计算工具发展我的专业知识 研究“野外”母婴活动，让我前所未有地了解生物的动态过程 行为发展，2）为我提供机会将我的工作与发展领域联系起来 因此，拟议的 K01 是我开发一个研究计划的关键一步。 利用日常活动的丰富动态来支持理论驱动的临床创新。