{"doi":"10.3390/nu16142367","title":"Association of Dietary Selenium Intake with Type 2 Diabetes in Middle-Aged and Older Adults in China","abstract":"The relationship between distinct dietary selenium intake and type 2 diabetes (T2D) is still a topic of uncertainty. This study examined the relationship between dietary selenium intake and T2D risk among middle-aged and older Chinese adults. Dietary selenium intake was assessed through three 24 h recalls, using data from the China Health and Nutrition Survey. To investigate the relationship and the potential dose-response pattern between selenium intake and the likelihood of developing T2D, we employed both the restricted cubic spline analysis and the Cox proportional hazards model as our analytical tools. A cohort of 5970 participants aged ≥ 50 years was followed for an average of 5.44 years. The results revealed a V-shaped correlation between selenium intake and T2D risk, with the lowest risk observed at approximately 45 µg/day. Below this level, the risk decreased with an increasing selenium intake, while the risk increased between 45 and 100 µg/day. No significant association was found beyond 100 µg/day. These findings suggest that both low and high selenium consumption may increase T2D risk, highlighting the importance of maintaining a balanced selenium intake for T2D prevention.","journal":"Nutrients","year":2024,"id":434225,"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":13,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9572,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1240900,"name":"Xi Hong","orcid":null,"position":1,"is_corresponding":false},{"id":240188,"name":"Huijun Wang","orcid":"0000-0002-8064-4564","position":2,"is_corresponding":false},{"id":869066,"name":"Weiyi Li","orcid":"0000-0002-9988-797X","position":3,"is_corresponding":false},{"id":545976,"name":"Lili Chen","orcid":"0000-0001-8290-5230","position":4,"is_corresponding":false},{"id":869067,"name":"Liusen Wang","orcid":"0000-0002-9426-3754","position":5,"is_corresponding":false},{"id":1240369,"name":"Boya Zhao","orcid":"0009-0001-2017-7802","position":6,"is_corresponding":false},{"id":869515,"name":"Shaoshunzi Wang","orcid":null,"position":7,"is_corresponding":false},{"id":240196,"name":"Hongru Jiang","orcid":"0000-0002-0747-6111","position":8,"is_corresponding":false},{"id":1240370,"name":"Zhihong Wang","orcid":"0000-0001-9153-964X","position":9,"is_corresponding":false},{"id":1240368,"name":"Fangyuan Li","orcid":"0009-0005-0885-7468","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-19T01:59:53.957667Z","pmid":"39064810","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":[]}