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OBJECTIVES: To report on first steps toward building a Life Course Intervention Research Framework (LCIRF) to guide researchers studying interventions to improve lifelong health. METHODS: The Life Course Intervention Research Network, a collaborative national network of >75 researchers, service providers, community representatives and thought leaders, participated in an iterative review process. Building on the revised Medical Research Council Guidance for Developing and Evaluating Complex Interventions, they identified 12 additional key models with features for inclusion in the LCIRF, then incorporated the 12 characteristics identified by the Life Course Intervention Research Network as actionable features of Life Course Interventions to produce the new LCIRF. RESULTS: The LCIRF sets out a detailed step-wise approach to intervention development: (1) conceptualization and planning, (2) design, (3) implementation, (4) evaluation, and (5) spreading and scaling of interventions. Each step is infused with life course intervention characteristics including a focus on (1) collaborative codesign (2) health optimization, (3) supporting emerging health development capabilities (4) strategic timing, (5) multilevel approaches, and (6) health equity. Key features include a detailed transdisciplinary knowledge synthesis to inform intervention development; formation of strong partnerships with family, community, and youth representatives in intervention codesign; a means of testing the impact of each intervention on biobehavioral processes underlying emerging health trajectories; and close attention to intervention context. CONCLUSIONS: This first iteration of the LCIRF has been largely expert driven. Next steps will involve widespread partner engagement in framework refinement and further development. Implementation will require changes to the way intervention studies are organized and funded.

OBJECTIVES: To develop an initial list of characteristics of life course interventions to inform the emerging discipline of life course intervention research. METHODS: The Life Course Intervention Research Network, a collaborative national network of >75 researchers, service providers, community representatives, and thought leaders, considered the principles, characteristics, and utility of life course interventions. After an in-person launch meeting in 2019, the steering committee collaboratively and iteratively developed a list of life course intervention characteristics, incorporating a modified Delphi review process. RESULTS: The Life Course Intervention Research Network identified 12 characteristics of life course interventions. These interventions (1) are aimed at optimizing health trajectories; (2) are developmentally focused, (3) longitudinally focused, and (4) strategically timed; and are (5) designed to address multiple levels of the ecosystem where children are born, live, learn, and grow and (6) vertically, horizontally, and longitudinally integrated to produce a seamless, forward-leaning, health optimizing system. Interventions are designed to (7) support emerging health development capabilities; are (8) collaboratively codesigned by transdisciplinary research teams, including stakeholders; and incorporate (9) family-centered, (10) strengths-based, and (11) antiracist approaches with (12) a focus on health equity. CONCLUSIONS: The intention for this list of characteristics of life course interventions is to provide a starting point for wider discussion and to guide research development. Incorporation of these characteristics into intervention designs may improve emerging health trajectories and move critical developmental processes and pathways back on track, even optimizing them to prevent or reduce adverse outcomes.

In the United States, autistic individuals experience disproportionate physical and mental health challenges relative to non-autistic individuals, including higher rates of co-occurring and chronic conditions and lower physical, social, and psychological health-related quality of life. The Autism Intervention Research Network on Physical Health (AIR-P) is an interdisciplinary, multicenter research network for scientific collaboration and infrastructure that aims to increase the life expectancy and quality of life for autistic individuals, with a focus on underserved or vulnerable populations. The current paper describes the development of the AIR-P Research Agenda. Development of the research agenda involved an iterative and collaborative process between the AIR-P Advisory Board, Steering Committee, and Autistic Researcher Review Board. The methodology consisted of 3 phases: (1) ideation and design, (2) literature review and synthesis; and (3) network engagement. Six core research priorities related to the health of autistic individuals were identified: (1) primary care services and quality, (2) community-based lifestyle interventions, (3) health systems and services, (4) gender, sexuality, and reproductive health, (5) neurology, and (6) genetics. Specific topics within each of these priorities were identified. Four cross-cutting research priorities were also identified: (1) neurodiversity-oriented care, (2) facilitating developmental transitions, (3) methodologically rigorous intervention studies, and (4) addressing health disparities. The AIR-P Research Agenda represents an important step forward for enacting large-scale health-promotion efforts for autistic individuals across the lifespan. This agenda will catalyze autism research in historically underrepresented topic areas while adopting a neurodiversity-oriented approach to health-promotion.

ObjectivesDiscrimination has been shown to have profound negative effects on mental and behavioral health and may influence these outcomes early in adulthood. We aimed to examine short-term, long-term, and cumulative associations between different types of interpersonal discrimination (eg, racism, sexism, ageism, and physical appearance discrimination) and mental health, substance use, and well-being for young adults in a longitudinal nationally representative US sample.MethodsWe used data from 6 waves of the Transition to Adulthood Supplement (2007-2017, 1834 participants) of the Panel Study of Income Dynamics. Outcome variables included self-reported health, drug use, binge drinking, mental illness diagnosis, Languishing and Flourishing score, and Kessler Psychological Distress Scale score. We used logistic regression with cluster-robust variance estimation to test cross-sectional and longitudinal associations between discrimination frequency (overall, cumulative, and by different reason) and outcomes, controlling for sociodemographics.ResultsIncreased discrimination frequency was associated with higher prevalence of languishing (relative risk [RR] 1.34 [95% CI 1.2-1.4]), psychological distress (RR 2.03 [95% CI 1.7-2.4]), mental illness diagnosis (RR 1.26 [95% CI 1.1-1.4]), drug use (RR 1.24 [95% CI 1.2-1.3]), and poor self-reported health (RR 1.26 [95% CI 1.1-1.4]) in the same wave. Associations persisted 2 to 6 years after exposure to discrimination. Similar associations were found with cumulative high-frequency discrimination and with each discrimination subcategory in cross-sectional and longitudinal analyses.ConclusionsIn this nationally representative longitudinal sample, current and past discrimination had pervasive adverse associations with mental health, substance use, and well-being in young adults.