LifeCycle deliverables

Within EU-funded Horizon 2020 projects, ‘Deliverables’ are “outputs that must be produced at a given moment” during the project. This includes, for example, the project website itself, detailed information on the scientific progress of a specific task, a research manuscript, an in-depth report, a software tool, or another important “building block”. As soon as such a deliverable has been completed, a deliverable report is required to be submitted to the European Commission (EC). The reports of LifeCycle work packages (WPs) 1, 2, 12, and 13 are confidential, but some reports of WPs 3, 4, 5, 6, 7, 8, 9, 10, and 11 are public. These public deliverable reports have been made available here, so feel free to view or download them as you like.

WP 1. Integrating and harmonizing data

  • D1.3 – Recommendations for approaches and methods for designing, performing and maintaining pregnancy and child cohort studies

WP 3. Integrating early-life stressors

  • D3.5 – Report on patterns of core and integrated socio-economic, migration-, urban environment- and lifestyle-related stressors across Europe
  • D3.6 – Report on exposome models based on proof-of-principle studies

WP 4. Early-life stressors & cardiometabolic health life course trajectories

  • D4.1 – Report on cardiovascular developmental trajectories during fetal life, infancy, and early childhood, and the relationship with early-life exposures and cardiovascular risk factors in childhood
  • D4.2 – Report on the relationships of early-life exposures with trajectories of cardiovascular and metabolic risk factors from birth to adulthood
  • D4.3 – Report on various life-course models for the effects of early-life exposures on later cardio-metabolic risk factors and disease
  • D4.4 – Report on the relationship of early-life exposures with differences in metabolic profiles and the extent to which these mediate associations of early-life exposures with cardio-metabolic risk factors and disease
  • D4.5 – Report on differences in DNA methylation loci that mediate the associations of early-life exposures with cardio-metabolic risk factors and disease

WP 5. Early-life stressors & respiratory health life course trajectories

  • D5.1 – Report on the associations of early-life stressors during preconception, pregnancy, infancy, and early childhood with lung function developmental trajectories and the risk of asthma from childhood until young adulthood
  • D5.2 – Report on early-life stressors that are related to both asthma throughout childhood and lung function and COPD in adulthood
  • D5.3 – Report on the relationships of early-life stressors with transient and persistent common allergies, and the extent to which these mediate associations of early-life stressors with life-course chronic obstructive respiratory health and disease trajectories
  • D5.4 – Report on to what extent differences in DNA methylation mediate the associations between early-life stressors and subsequent life course chronic obstructive respiratory health and disease trajectories

WP 6. Early-life stressors & mental health life course trajectories

  • D6.1 – Report on internalizing and externalizing behavior and other mental health trajectories from birth to childhood, and their associations with psychopathology outcomes
  • D6.2 – Report on the effects of early-life stressors on mental health and psychopathology life-course trajectories
  • D6.3 – Report on the relationship of early-life stressors with fetal and childhood brain developmental outcomes and the extent to which these mediate associations of early-life exposures with mental health and psychopathology life course trajectories
  • D6.4 – Report on differences in DNA methylation loci that mediate the associations of early-life exposures with mental health and psychopathology life course trajectories

WP 7. Methods for causal inference &life course trajectory analyses

  • D7.1 – Report on approaches for causal inference in the context of life-course trajectory analyses
  • D7.2 – Report on approaches for longitudinal data/health trajectories in the context of life-course analyses
  • D7.3 – Report on approaches to analyse multiple stressor data in the context of longitudinal modelling
  • D7.4 – Tutorials on the implementation of causal inference methods and longitudinal modelling in the context of life course trajectory analyses
  • D7.5 – Training course on causal inference methods and longitudinal modeling in the context of life course trajectory analyses

WP 8. DNA methylation & gene expression in life course health trajectories

  • D8.2 – Report on associations of early-life stressors with DNA methylation at birth
  • D8.3 – Report on the persistence of DNA methylation differences related to early-life stressors
  • D8.4 – Report on the associations of DNA methylation loci related to early-life stressors with functional outcomes, including RNA expression
  • D8.5 – Report on DNA methylation changes as measures of early-life exposures

WP 9. Early intervention strategies focused on early-life stressors

  • D9.2 – Report on review of interventions focused on socio-economic stressors, to improve life-course health trajectories
  • D9.3 – Report on review of interventions focused on migration stressors, to improve life-course health trajectories
  • D9.4 – Report on review of interventions focused on urban environment stressors, to improve life-course health trajectories
  • D9.5 – Report on review of interventions focused on lifestyle stressors, to improve life-course health trajectories
  • D9.6 – Integrated summary report on recommendations on potential interventions focused on modification of early-life stressors

WP 10. Economic, public, and individual impact of early-life stressors

  • D10.1 – Report on the impact of early-life stressors on population and individual economic outcomes
  • D10.2 – Report on impact of early-life policies and interventions based on dynamic microsimulation models
  • D10.3 – Recommendations for public health strategies focused on future parents and young children to improve life course health trajectories from early life onwards
  • D10.4 – Personalized prediction models based on early-life stressors to predict development of cardio-metabolic, respiratory and psychiatric disease
  • D10.5 – eHealth applications for personalized prevention strategies

WP 11. Dissemination, exploitation, and training

  • D11.1 – External project website launched
  • D11.4 – E-learning module available online