TY - JOUR
T1 - Early environmental quality and life-course mental health effects
T2 - The Equal-Life project
AU - van Kamp, Irene
AU - Waye, Kerstin Persson
AU - Kanninen, Katja
AU - Gulliver, John
AU - Bozzon, Alessandro
AU - Psyllidis, Achilleas
AU - Boshuizen, Hendriek
AU - Selander, Jenny
AU - van den Hazel, Peter
AU - Brambilla, Marco
AU - Foraster, Maria
AU - Julvez, Jordi
AU - Klatte, Maria
AU - Jeram, Sonja
AU - Lercher, Peter
AU - Botteldooren, Dick
AU - Ristovska, Gordana
AU - Kaprio, Jaakko
AU - Schreckenberg, Dirk
AU - Hornikx, Maarten
AU - Fels, Janina
AU - Weber, Miriam
AU - Braat-Eggen, Ella
AU - Hartmann, Julia
AU - Clark, Charlotte
AU - Vrijkotte, Tanja
AU - Brown, Lex
AU - Bolte, Gabriele
N1 - Funding Information:
The authors gratefully acknowledge the contribution of all Equal-Life consortium members and the members of the advisory committee ( www.equal-life.eu ). Authors also thank Yun Cheng and Peter Friberg from Gothenburg University for making the data from the STARS cohort available. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 874724 and is co-funded by the International Strategic Research Scheme of the National Institute for Public Health and the Environment in the Netherlands and by the Dutch Ministry of Infrastructure and Water Management Directorate Sustainable Living Environment and Circular Economy.
Publisher Copyright:
© 2021 The Authors.
PY - 2022/2/16
Y1 - 2022/2/16
N2 - Background: There is increasing evidence that a complex interplay of factors within environments in which children grows up, contributes to children's suboptimal mental health and cognitive development. The concept of the life-course exposome helps to study the impact of the physical and social environment, including social inequities, on cognitive development and mental health over time. Methods: Equal-Life develops and tests combined exposures and their effects on children's mental health and cognitive development. Data from eight birth-cohorts and three school studies (N = 240.000) linked to exposure data, will provide insights and policy guidance into aspects of physical and social exposures hitherto untapped, at different scale levels and timeframes, while accounting for social inequities. Reasoning from the outcome point of view, relevant stakeholders participate in the formulation and validation of research questions, and in the formulation of environmental hazards. Exposure assessment combines GIS-based environmental indicators with omics approaches and new data sources, forming the early-life exposome. Statistical tools integrate data at different spatial and temporal granularity and combine exploratory machine learning models with hypothesis-driven causal modeling. Conclusions: Equal-Life contributes to the development and utilization of the exposome concept by (1) integrating the internal, physical and social exposomes, (2) studying a distinct set of life-course effects on a child's development and mental health (3) characterizing the child's environment at different developmental stages and in different activity spaces, (4) looking at supportive environments for child development, rather than merely pollutants, and (5) combining physical, social indicators with novel effect markers and using new data sources describing child activity patterns and environments.
AB - Background: There is increasing evidence that a complex interplay of factors within environments in which children grows up, contributes to children's suboptimal mental health and cognitive development. The concept of the life-course exposome helps to study the impact of the physical and social environment, including social inequities, on cognitive development and mental health over time. Methods: Equal-Life develops and tests combined exposures and their effects on children's mental health and cognitive development. Data from eight birth-cohorts and three school studies (N = 240.000) linked to exposure data, will provide insights and policy guidance into aspects of physical and social exposures hitherto untapped, at different scale levels and timeframes, while accounting for social inequities. Reasoning from the outcome point of view, relevant stakeholders participate in the formulation and validation of research questions, and in the formulation of environmental hazards. Exposure assessment combines GIS-based environmental indicators with omics approaches and new data sources, forming the early-life exposome. Statistical tools integrate data at different spatial and temporal granularity and combine exploratory machine learning models with hypothesis-driven causal modeling. Conclusions: Equal-Life contributes to the development and utilization of the exposome concept by (1) integrating the internal, physical and social exposomes, (2) studying a distinct set of life-course effects on a child's development and mental health (3) characterizing the child's environment at different developmental stages and in different activity spaces, (4) looking at supportive environments for child development, rather than merely pollutants, and (5) combining physical, social indicators with novel effect markers and using new data sources describing child activity patterns and environments.
KW - Environmental Conditions
KW - Mental health
KW - cognition
KW - children
KW - adolescents
KW - epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85122297676&partnerID=8YFLogxK
U2 - 10.1097/EE9.0000000000000183
DO - 10.1097/EE9.0000000000000183
M3 - Article
AN - SCOPUS:85122297676
SN - 2474-7882
VL - 6
SP - 1
EP - 10
JO - Environmental Epidemiology
JF - Environmental Epidemiology
IS - 1
ER -