{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wilding A"],"funding":["Medical Research Council","National Institute for Health Research (NIHR)","Wellcome Trust"],"pagination":["379-388"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10273387"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["45(2)"],"pubmed_abstract":["<h4>Background</h4>Social participation is linked to better health and well-being. However, there is limited research on the individual and area-level predictors of participation. This study aims to determine the characteristics associated with participation, particularly the impact of community asset availability.<h4>Methods</h4>We used data from 34 582 adult respondents to the nationally representative Community Life Survey from 2013 to 2018. We measured social participation by reported participation in 15 types of groups. We used probit and negative binomial regression models and included a wide range of individual, household and area characteristics, and availability of 14 types of community assets.<h4>Results</h4>The following characteristics were associated with higher levels of part"],"journal":["Journal of public health (Oxford, England)"],"pubmed_title":["Predictors of social participation: evidence from repeated cross-sectional population surveys in England."],"pmcid":["PMC10273387"],"funding_grant_id":["NIHR201374","217868/Z/19/Z","MR/N015126/1"],"pubmed_authors":["Wilding A","Munford LA","Sutton M"],"additional_accession":[]},"is_claimable":false,"name":"Predictors of social participation: evidence from repeated cross-sectional population surveys in England.","description":"<h4>Background</h4>Social participation is linked to better health and well-being. However, there is limited research on the individual and area-level predictors of participation. This study aims to determine the characteristics associated with participation, particularly the impact of community asset availability.<h4>Methods</h4>We used data from 34 582 adult respondents to the nationally representative Community Life Survey from 2013 to 2018. We measured social participation by reported participation in 15 types of groups. We used probit and negative binomial regression models and included a wide range of individual, household and area characteristics, and availability of 14 types of community assets.<h4>Results</h4>The following characteristics were associated with higher levels of part","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jun","modification":"2026-05-28T18:44:02.191Z","creation":"2025-04-03T22:51:10.518Z"},"accession":"S-EPMC10273387","cross_references":{"pubmed":["35301537"],"doi":["10.1093/pubmed/fdac029"]}}