{"doi":"10.31234/osf.io/aes74","title":"Expanding the environmental scope: An environment-wide association study for mental well-being","abstract":"Identifying modifiable factors associated with well-being is of increased interest for public policy guidance. Developments in record linkage make it possible to identify what contributes to well-being from a myriad of factors. To this end, we link two large-scale data resources; the Geoscience and Health Cohort Consortium, a collection of geo-data, and the Netherlands Twin Register, which holds population-based well-being data. We perform an Environment-Wide Association Study (EnWAS), where we examine 139 neighbourhood-level environmental exposures in relation to well-being.First, we performed a generalized estimation equation regression (N = 11,975) to test for the effects of environmental exposures on well-being. Second, to account for multicollinearity amongst exposures, we performed principal component regression. Finally, using a genetically informative design, we examined whether environmental exposure is driven by genetic predisposition for well-being.We identified 21 environmental factors that were associated with well-being in the domains: housing stock, income, core neighbourhood characteristics, livability, and socioeconomic status. Of these associations, socioeconomic status and safety are indicated as the most important factors to explain differences in well-being. No evidence of gene-environment correlation was found.These observed associations, especially neighbourhood safety, could be informative for policy makers and provide public policy guidance to improve well-being. Our results show that linking databases is a fruitful exercise to identify determinants of mental health that would remain unknown by a more unilateral approach.","journal":"PsyArXiv (OSF Preprints)","year":2021,"id":222564,"datarank":0.13041504660495265,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.026442969520960844,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.026442969520960844,"corpus_percentile":29.225651736675175,"corpus_rank":9150,"citation_count":1,"citer_count":1,"citers_with_citation_signal":1,"citers_with_endowment":1,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.8781,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":726870,"name":"Bart M. L. Baselmans","orcid":"0000-0001-9042-1041","position":1,"is_corresponding":false},{"id":5379,"name":"Jouke‐Jan Hottenga","orcid":"0000-0002-5668-2368","position":2,"is_corresponding":false},{"id":5214,"name":"Conor V. Dolan","orcid":"0000-0002-2496-8492","position":3,"is_corresponding":false},{"id":5313,"name":"Gonneke Willemsen","orcid":"0000-0003-3755-0236","position":4,"is_corresponding":false},{"id":264625,"name":"Meike Bartels","orcid":"0000-0002-9667-7555","position":5,"is_corresponding":false},{"id":726868,"name":"Margot P. van de Weijer","orcid":"0000-0001-9720-9481","position":0,"is_corresponding":true}],"reference_count":52,"raw_metadata":null,"created_at":"2026-07-18T23:54:03.549854Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}