Life Experiences

Life Experiences

Overview

The Life Experiences domain explores how a range of experiences – from education and life events and changes, to caregiving, to the stress from day-to-day experiences – shape health and well-being across the lifespan and contribute to AD/ADRD outcomes. Primarily focused on individual and family level experiences, this domain employs novel approaches to understanding these occurrences across space and time. For example, time-related research in this domain examines how the cumulative effects of life experiences differ from isolated risk factors, takes into account how certain experiences have different impacts over time, and considers how the duration of an important life experience or when it occurs in the life course changes its import.

The Life Experiences domain’s initial efforts will focus on work, health behaviors, family and social relationships, and data linkages.

Work Work

The dynamics and characteristics of work – including skill requirements and working conditions – are central to individuals’ lives, and work-related events can be acute sources of stress as well as sources of stimulation. Improved and novel data tools, like enhanced work histories, are necessary to better understand the relationships between work and AD/ADRD outcomes.

Health & Health Behaviors Health & Health Behaviors

Health-related behaviors, like substance use, diet, and sleep, in concert with physical and psychological health conditions, like hearing loss and hypertension, across the life course factor into later-life outcomes. These conditions and behaviors are often overlapping and interact in complex ways, and the timing and coincidence of these health-related phenomena must be taken into account when tracing their influences on AD/ADRD risk and resilience.

Family & Social Relationships Family & Social Relationships

Relationships and bonds within immediate and extended families are influential throughout the life course. Additionally, social relationships outside of the family, especially those within neighborhoods or other social groups, are also important to consider as potentially protective or stressful influences on individuals’ lives and their subsequent risk for AD/ADRD.

Multimodal Data Linkages Multimodal Data Linkages

Generating accessible resources for researchers aiming to undertake large, population-representative studies and/or studies about life experiences over an extended period of time is a priority for the Life Experiences domain. Additionally, Life Experiences is also interested in the use of technologies including wearable devices and aims to explore how novel bio-behavioral data and computational/AI techniques may serve research over the life course.

Community Insights

In the fall of 2024, the GECC hosted a series of town hall meetings with hundreds of unique participants. These meetings and additional conversations with domain experts yielded critical insights for the Life Experiences domain, including highlighting key themes and gaps in research.

Key Themes

  • Formal education as well as literacy, numeracy, and access to lifelong learning opportunities could impact ADRD risk.
  • Employment precarity, job characteristics, and care-giving responsibilities impact health, social ties, and economic well-being.
  • Physical activity, diet, substance use, sleep, and social engagement can reduce Alzheimer’s risk.
  • Sustained negative emotions, such as stress, depression, and loneliness, have the potential to increase dementia risk.
  • Engaging with friends, family, and one’s community are critical for well-being and protective against dementia.
Priorities

Short-Term Priorities

  • Develop an inventory of measures of cognition, individual-level risk factors, and key additional characteristics available in longitudinal, population-level datasets
  • Review the potential utility of direct contextualized biobehavioral measures e.g., physical activity, social interactions and physiology, in natural daily living such as using wearables and smartphones
  • Explore existing measurements for concurrent health behaviors
  • Review existing approaches for mapping occupational characteristics to work histories
  • Engage tech and health industry

Long-Term Priorities

  • Develop a community-wide resource for researchers exploring the feasibility of using large, population-representative studies in the United States to study cognitive health
  • Document existing longitudinal studies of residential histories to identify and evaluate linking practices between residential histories and supplementary, contextual information
  • Create guidance on the use and limits of retrospective work histories and develop guidelines for collecting and integrating retrospective and prospective measures.

Team

Sarah Flood

University of Minnesota

Domain Lead

Eden Wetzel

University of Southern California

Domain Coordinator

SIGN UP FOR OUR MAILING LIST


The GECC is funded by the National Institute on Aging (NIA) U24AG088894.