Abstract
Background: This study introduces the Young Adult Sleep model, a comprehensive causal loop diagram (CLD) developed to explore the dynamic feedback mechanisms underlying sleep problems and affective depressive symptoms in young adults—an urgent public health challenge.
Methods: The CLDs was developed through five asynchronous questionnaire-based assignments completed by a panel of 14 domain experts, two existing CLDs, and targeted reviews of the scientific literature. Natural language processing was used to curate the system variables from questionnaire data.
Results: The CLD integrates extensively interconnected variables across biological, psychological, behavioral, and social domains. It comprises 29 variables and 175 causal connections, forming numerous reinforcing feedback loops that can drive “vicious” cycles, such as the interplay of sleep disturbances and affective depressive symptoms with addictive behaviors like smoking. The experts also identified balancing loops that may counteract these self-reinforcing dynamics. Many loops span multiple domains, underscoring the importance of multidomain interventions and of interdisciplinary research that synthesizes evidence across scientific fields.
Conclusions: The Young Adult Sleep model is an evolving CLD framework that is intended to be further refined as new evidence becomes available. It supports iterative theory development and hypothesis generation, and serves as a foundation for future computational modeling to simulate intervention strategies to address this complex public health problem.
Methods: The CLDs was developed through five asynchronous questionnaire-based assignments completed by a panel of 14 domain experts, two existing CLDs, and targeted reviews of the scientific literature. Natural language processing was used to curate the system variables from questionnaire data.
Results: The CLD integrates extensively interconnected variables across biological, psychological, behavioral, and social domains. It comprises 29 variables and 175 causal connections, forming numerous reinforcing feedback loops that can drive “vicious” cycles, such as the interplay of sleep disturbances and affective depressive symptoms with addictive behaviors like smoking. The experts also identified balancing loops that may counteract these self-reinforcing dynamics. Many loops span multiple domains, underscoring the importance of multidomain interventions and of interdisciplinary research that synthesizes evidence across scientific fields.
Conclusions: The Young Adult Sleep model is an evolving CLD framework that is intended to be further refined as new evidence becomes available. It supports iterative theory development and hypothesis generation, and serves as a foundation for future computational modeling to simulate intervention strategies to address this complex public health problem.
| Original language | English |
|---|---|
| Article number | 159 |
| Number of pages | 16 |
| Journal | BMC Medicine |
| Volume | 24 |
| Issue number | 1 |
| Early online date | 16 Mar 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 16 Mar 2026 |
Bibliographical note
Publisher Copyright:© The Author(s) 2026.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Natural language processing
- System
- Young Adult
- Epidemiology
- Causal loop diagram
- Complex
- Sleep
- Feedback loop
- Mental health
- Depressive symptoms
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