{"doi":"10.3389/fnut.2021.719147","title":"Higher Dietary Se Intake Is Associated With the Risk of New-Onset Fracture: A National Longitudinal Study for 20 Years","abstract":"Background: The association between dietary selenium (Se) intake and osteoporosis-related fractures remains inconsistent. We aimed to examine the dose relationship between Se intake and incident fracture among Chinese adults. Methods: The dietary data were retrieved from the China Health and Nutrition Survey conducted between 1991 and 2011, and 17,150 participants aged above 20 were included. A 3-day, 24-h recall of food intake was performed to assess cumulative average dietary Se intake. The fracture was based on self-report in each survey between 1997 and 2011. The association between Se intake and fracture was tested by Cox regression, and the non-linear association was examined by restricted cubic splines (RCS). Results: There were 976 fracture cases during a mean of 10.2 years follow-up. In a fully adjusted Cox model, across the quartiles of Se intake, the hazard ratios (HRs) for fracture were 1.07 (95% CI .86–1.33), 1 (reference), 1.25 (95% CI 1.02–1.53), and 1.33 (95% CI 1.07–1.65). RCS showed a parabolic association ( P non-linear = 0.037) between Se and fracture for men as well as a U-shape dose-response ( P non-linear = 0.04) between Se and fracture for subjects living in highly urbanized areas. Conclusion: In conclusion, there is a non-linear association between selenium intake and fracture, with higher intake associated with increased risk. The shape of the association varies by gender and urbanization level.","journal":"Frontiers in Nutrition","year":2021,"id":201516,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.5956,"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":780355,"name":"Mengliang Ye","orcid":"0000-0001-9394-8682","position":1,"is_corresponding":false},{"id":27778,"name":"Yong Zhao","orcid":"0000-0001-9290-109X","position":2,"is_corresponding":false},{"id":780356,"name":"Yang Xiong","orcid":"0000-0003-3901-2394","position":3,"is_corresponding":false},{"id":781000,"name":"Shisi Shen","orcid":null,"position":4,"is_corresponding":false},{"id":780357,"name":"Qiuhua Yu","orcid":"0000-0003-3045-6124","position":5,"is_corresponding":false},{"id":780358,"name":"Yanjun Lu","orcid":"0000-0003-2471-0245","position":6,"is_corresponding":false},{"id":396993,"name":"Zumin Shi","orcid":"0000-0002-3099-3299","position":7,"is_corresponding":false},{"id":520525,"name":"Xun Lei","orcid":"0000-0001-5118-9294","position":8,"is_corresponding":false},{"id":780354,"name":"Yangchang Zhang","orcid":"0000-0002-3328-8536","position":0,"is_corresponding":true}],"reference_count":66,"raw_metadata":null,"created_at":"2026-07-18T23:50:56.394488Z","pmid":"34485366","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":[]}