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Anguita-Ruiz A, Amine I, Stratakis N, Maitre L, Julvez J, Urquiza J, Luo C, Nieuwenhuijsen M, Thomsen C, Grazuleviciene R, Heude B, McEachan R, Vafeiadi M, Chatzi L, Wright J, Yang TC, Slama R, Siroux V, Vrijheid M, Basagaña X. Beyond the single-outcome approach: A comparison of outcome-wide analysis methods for exposome research. Environ Int 2023; 182:108344. [PMID: 38016387 DOI: 10.1016/j.envint.2023.108344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/16/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023]
Abstract
Outcome-wide analysis can offer several benefits, including increased power to detect weak signals and the ability to identify exposures with multiple effects on health, which may be good targets for preventive measures. Recently, advanced statistical multivariate techniques for outcome-wide analysis have been developed, but they have been rarely applied to exposome analysis. In this work, we provide an overview of a selection of methods that are well-suited for outcome-wide exposome analysis and are implemented in the R statistical software. Our work brings together six different methods presenting innovative solutions for typical problems arising from outcome-wide approaches in the context of the exposome, including dependencies among outcomes, high dimensionality, mixed-type outcomes, missing data records, and confounding effects. The identified methods can be grouped into four main categories: regularized multivariate regression techniques, multi-task learning approaches, dimensionality reduction approaches, and bayesian extensions of the multivariate regression framework. Here, we compare each technique presenting its main rationale, strengths, and limitations, and provide codes and guidelines for their application to exposome data. Additionally, we apply all selected methods to a real exposome dataset from the Human Early-Life Exposome (HELIX) project, demonstrating their suitability for exposome research. Although the choice of the best method will always depend on the challenges to be faced in each application, for an exposome-like analysis we find dimensionality reduction and bayesian methods such as reduced rank regression (RRR) or multivariate bayesian shrinkage priors (MBSP) particularly useful, given their ability to deal with critical issues such as collinearity, high-dimensionality, missing data or quantification of uncertainty.
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Affiliation(s)
- Augusto Anguita-Ruiz
- ISGlobal, 08003 Barcelona, Spain; CIBEROBN (CIBER Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Ines Amine
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | | | - Lea Maitre
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Jordi Julvez
- ISGlobal, 08003 Barcelona, Spain; CIBEROBN (CIBER Physiopathology of Obesity and Nutrition), Instituto de Salud Carlos III, 28029 Madrid, Spain; Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020 Valencia, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Clinical and Epidemiological Neuroscience Group (NeuroÈpia), 43204 Reus (Tarragona), Catalonia, Spain
| | | | - Chongliang Luo
- Division of Public Health Sciences, Washington University School of Medicine in St. Louis, 600 S Taylor Ave, St. Louis, MO 63110, USA
| | - Mark Nieuwenhuijsen
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Cathrine Thomsen
- Department of Food Safety, Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248 Kaunas, Lithuania
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Leda Chatzi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany C Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rémy Slama
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Valérie Siroux
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology Applied to the Development and Respiratory Health, Institute for Advanced Biosciences, 38000 Grenoble, France
| | - Martine Vrijheid
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
| | - Xavier Basagaña
- ISGlobal, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain.
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Amine I, Guillien A, Philippat C, Anguita-Ruiz A, Casas M, de Castro M, Dedele A, Garcia-Aymerich J, Granum B, Grazuleviciene R, Heude B, Haug LS, Julvez J, López-Vicente M, Maitre L, McEachan R, Nieuwenhuijsen M, Stratakis N, Vafeiadi M, Wright J, Yang T, Yuan WL, Basagaña X, Slama R, Vrijheid M, Siroux V. Environmental exposures in early-life and general health in childhood. Environ Health 2023; 22:53. [PMID: 37480033 PMCID: PMC10360263 DOI: 10.1186/s12940-023-01001-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/28/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Early-life environmental exposures are suspected to be involved in the development of chronic diseases later in life. Most studies conducted so far considered single or few exposures and single-health parameter. Our study aimed to identify a childhood general health score and assess its association with a wide range of pre- and post-natal environmental exposures. METHODS The analysis is based on 870 children (6-12 years) from six European birth cohorts participating in the Human Early-Life Exposome project. A total of 53 prenatal and 105 childhood environmental factors were considered, including lifestyle, social, urban and chemical exposures. We built a general health score by averaging three sub-scores (cardiometabolic, respiratory/allergy and mental) built from 15 health parameters. By construct, a child with a low score has a low general health status. Penalized multivariable regression through Least Absolute Shrinkage and Selection Operator (LASSO) was fitted in order to identify exposures associated with the general health score. FINDINGS The results of LASSO show that a lower general health score was associated with maternal passive and active smoking during pregnancy and postnatal exposure to methylparaben, copper, indoor air pollutants, high intake of caffeinated drinks and few contacts with friends and family. Higher child's general health score was associated with prenatal exposure to a bluespace near residency and postnatal exposures to pets, cobalt, high intakes of vegetables and more physical activity. Against our hypotheses, postnatal exposure to organochlorine compounds and perfluorooctanoate were associated with a higher child's general health score. CONCLUSION By using a general health score summarizing the child cardiometabolic, respiratory/allergy and mental health, this study reinforced previously suspected environmental factors associated with various child health parameters (e.g. tobacco, air pollutants) and identified new factors (e.g. pets, bluespace) warranting further investigations.
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Affiliation(s)
- Ines Amine
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France.
| | - Alicia Guillien
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Claire Philippat
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Augusto Anguita-Ruiz
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- CIBEROBN, (Physiopathology of Obesity and Nutrition CB12/03/30038), Institute of Health Carlos III (ISCIII), 28029, Madrid, Spain
| | - Maribel Casas
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Montserrat de Castro
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, FISABIO-Public Health, FISABIO-Universitat Jaume I-Universitat de València, Av. Catalunya 21, 46020, Valencia, Spain
| | - Audrius Dedele
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Judith Garcia-Aymerich
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Berit Granum
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, 0213, Oslo, Norway
| | - Regina Grazuleviciene
- Department of Environmental Science, Vytautas Magnus University, 44248, Kaunas, Lithuania
| | - Barbara Heude
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
| | - Line Småstuen Haug
- Division for Climate and Environmental Health, Norwegian Institute of Public Health, 0213, Oslo, Norway
| | - Jordi Julvez
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Clinical and Epidemiological Neuroscience (NeuroÈpia), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
| | - Mónica López-Vicente
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
| | - Léa Maitre
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Mark Nieuwenhuijsen
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Nikos Stratakis
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Crete, Greece
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Tiffany Yang
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Wen Lun Yuan
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Center for Research in Epidemiology and StatisticS (CRESS), 75004, Paris, France
- Singapore Institute for Clinical Science, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Xavier Basagaña
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Rémy Slama
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
| | - Martine Vrijheid
- Parc de Recerca Biomèdica de Barcelona (PRBB), ISGlobal-Instituto de Salud Global de Barcelona Campus MAR, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), 08002, Barcelona, Spain
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Av. Monforte de Lemos, 3-5. Pabellón 11, 28029, Madrid, Spain
| | - Valérie Siroux
- University Grenoble Alpes, Inserm U 1209, CNRS UMR 5309, Team of Environmental Epidemiology applied to Development and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
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