Early environmental quality and life-course mental health effects: The Equal-Life project
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...
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creator | Kamp, Irene van Persson Waye, Kerstin Kanninen, Katja Gulliver, John Bozzon, Alessandro Psyllidis, Achilleas Boshuizen, Hendriek Selander, Jenny van den Hazel, Peter Brambilla, Marco Foraster, Maria Julvez, Jordi Klatte, Maria Jeram, Sonja Lercher, Peter Botteldooren, Dick Ristovska, Gordana Kaprio, Jaakko Schreckenberg, Dirk Hornikx, Maarten Fels, Janina Weber, Miriam Braat-Eggen, Ella Hartmann, Julia Clark, Charlotte Vrijkotte, Tanja Brown, Lex Bolte, Gabriele |
description | 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.
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.
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. |
doi_str_mv | 10.1097/EE9.0000000000000183 |
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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.
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.</description><identifier>ISSN: 2474-7882</identifier><identifier>EISSN: 2474-7882</identifier><identifier>DOI: 10.1097/EE9.0000000000000183</identifier><identifier>PMID: 35169662</identifier><language>eng</language><publisher>United States: Lippincott Williams & Wilkins</publisher><subject>Annan medicin och hälsovetenskap ; Original ; Other Medical Sciences</subject><ispartof>ENVIRONMENTAL EPIDEMIOLOGY, 2022-02, Vol.6 (1), p.e183-e183</ispartof><rights>Lippincott Williams & Wilkins</rights><rights>Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.</rights><rights>Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5292-7d100446a946aea0ed44e2e9f394140f25af50f31d8b2e82acada6ed044053273</citedby><cites>FETCH-LOGICAL-c5292-7d100446a946aea0ed44e2e9f394140f25af50f31d8b2e82acada6ed044053273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835570/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835570/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,551,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35169662$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/329835$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:235169662$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Kamp, Irene van</creatorcontrib><creatorcontrib>Persson Waye, Kerstin</creatorcontrib><creatorcontrib>Kanninen, Katja</creatorcontrib><creatorcontrib>Gulliver, John</creatorcontrib><creatorcontrib>Bozzon, Alessandro</creatorcontrib><creatorcontrib>Psyllidis, Achilleas</creatorcontrib><creatorcontrib>Boshuizen, Hendriek</creatorcontrib><creatorcontrib>Selander, Jenny</creatorcontrib><creatorcontrib>van den Hazel, Peter</creatorcontrib><creatorcontrib>Brambilla, Marco</creatorcontrib><creatorcontrib>Foraster, Maria</creatorcontrib><creatorcontrib>Julvez, Jordi</creatorcontrib><creatorcontrib>Klatte, Maria</creatorcontrib><creatorcontrib>Jeram, Sonja</creatorcontrib><creatorcontrib>Lercher, Peter</creatorcontrib><creatorcontrib>Botteldooren, Dick</creatorcontrib><creatorcontrib>Ristovska, Gordana</creatorcontrib><creatorcontrib>Kaprio, Jaakko</creatorcontrib><creatorcontrib>Schreckenberg, Dirk</creatorcontrib><creatorcontrib>Hornikx, Maarten</creatorcontrib><creatorcontrib>Fels, Janina</creatorcontrib><creatorcontrib>Weber, Miriam</creatorcontrib><creatorcontrib>Braat-Eggen, Ella</creatorcontrib><creatorcontrib>Hartmann, Julia</creatorcontrib><creatorcontrib>Clark, Charlotte</creatorcontrib><creatorcontrib>Vrijkotte, Tanja</creatorcontrib><creatorcontrib>Brown, Lex</creatorcontrib><creatorcontrib>Bolte, Gabriele</creatorcontrib><creatorcontrib>Equal-Life Scientific Team</creatorcontrib><title>Early environmental quality and life-course mental health effects: The Equal-Life project</title><title>ENVIRONMENTAL EPIDEMIOLOGY</title><addtitle>Environ Epidemiol</addtitle><description>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.
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.
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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.
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.
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.</abstract><cop>United States</cop><pub>Lippincott Williams & Wilkins</pub><pmid>35169662</pmid><doi>10.1097/EE9.0000000000000183</doi><oa>free_for_read</oa></addata></record> |
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subjects | Annan medicin och hälsovetenskap Original Other Medical Sciences |
title | Early environmental quality and life-course mental health effects: The Equal-Life project |
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