{"doi":"10.3390/nu17132089","title":"Timing of Dietary Fatty Acids to Optimize Reduced Risk of Type 2 Diabetes Mellitus: Findings from China Health and Nutrition Survey","abstract":"BACKGROUND/OBJECTIVES: Chrononutrition highlights the significance of temporal consumption behavior for a healthy dietary pattern. This study investigated the relationship between dietary fatty acid (FA) intake timing and type 2 diabetes mellitus (T2DM) risk. METHODS: A total of 14,518 participants in the China Health and Nutrition Survey (1991-2015) were recruited. Dietary intake and mealtime were collected via three consecutive 24 h dietary recalls. Multivariable Cox proportional hazard models were employed to estimate the association between FA intake at meals and T2DM risk. Differences in FA intake between dinner and breakfast (Δ = dinner-breakfast) were calculated for each type of FA intake. Sensitivity analyses considering the effects of snacks, the sum of different types of FAs, and other confounding factors were performed. The isocaloric substitution model was used to view the risk changes according to the shifted mealtime. RESULTS: trend = 0.002) intake at dinner versus breakfast. The highest category of Δ n-3 PUFAs and Δ P-MUFAs were respectively linked to a 19% and 29% reduced T2DM risk. Unanimous associations were found for the difference between lunch and breakfast rather than dinner and lunch. Isocalorically switching 1 standard deviation (SD) of n-3 PUFAs or MUFAs intake at breakfast with the corresponding type of FAs at dinner was associated with a 22% and 20% lower risk of T2DM, respectively. CONCLUSIONS: Timely consumption of dietary FAs, particularly n-3 PUFAs and plant-based MUFAs at dinner versus breakfast, is crucial for T2DM prevention.","journal":"Nutrients","year":2025,"id":569013,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9498,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1408170,"name":"Yuqi Wu","orcid":"0000-0003-3301-3927","position":1,"is_corresponding":false},{"id":1473696,"name":"Pan Zhuang","orcid":"0000-0002-5149-0308","position":2,"is_corresponding":false},{"id":1018708,"name":"Xiaohui Liu","orcid":"0000-0003-1202-3771","position":3,"is_corresponding":false},{"id":1473697,"name":"Ao Yang","orcid":"0000-0002-6350-5095","position":4,"is_corresponding":false},{"id":1468705,"name":"Li Yin","orcid":"0000-0003-1951-1487","position":5,"is_corresponding":false},{"id":1019308,"name":"Jianxin Yao","orcid":null,"position":6,"is_corresponding":false},{"id":1473698,"name":"Haoyin Liu","orcid":"0009-0000-1794-4831","position":7,"is_corresponding":false},{"id":1474057,"name":"Zongmei Yang","orcid":null,"position":8,"is_corresponding":false},{"id":360558,"name":"Yu Zhang","orcid":"0000-0003-1025-906X","position":9,"is_corresponding":false},{"id":473566,"name":"Jingjing Jiao","orcid":"0000-0003-4167-1567","position":10,"is_corresponding":false},{"id":1473695,"name":"Hao Ye","orcid":"0000-0003-3526-9627","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T02:56:55.795846Z","pmid":"40647194","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":[]}