{"doi":"10.1002/oby.22791","title":"Breakfast Skipping, Body Composition, and Cardiometabolic Risk: A Systematic Review and Meta‐Analysis of Randomized Trials","abstract":"OBJECTIVE: The objective of this study was to evaluate the effect of skipping breakfast on body composition and cardiometabolic risk factors. METHODS: This study conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) evaluating breakfast skipping compared with breakfast consumption. Inclusion criteria included age ≥ 18, intervention duration ≥ 4 weeks, ≥ 7 participants per group, and ≥ 1 body composition measure. Random-effects meta-analyses of the effect of breakfast skipping on body composition and cardiometabolic risk factors were performed. RESULTS: = 21.4%). Percent body fat was reported in 5 studies and was not significantly different between breakfast skippers and consumers. Three studies reported on low-density lipoprotein cholesterol (LDL), which was increased in breakfast skippers as compared with breakfast consumers (WMD = 9.24 mg/dL [95% CI: 2.18 to 16.30], P = 0.01). Breakfast skipping did not lead to significant differences in blood pressure, total cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, C-reactive protein, insulin, fasting glucose, leptin, homeostatic model assessment of insulin resistance, or ghrelin. CONCLUSIONS: Breakfast skipping may have a modest impact on weight loss and may increase LDL in the short term. Further studies are needed to provide additional insight into the effects of breakfast skipping.","journal":"Obesity","year":2020,"id":54249,"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":106,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8818,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":245452,"name":"Michelle I. Cardel","orcid":"0000-0002-9395-8618","position":1,"is_corresponding":false},{"id":278286,"name":"Jacqueline Cellini","orcid":"0000-0002-5031-3887","position":2,"is_corresponding":false},{"id":55333,"name":"Frank B. Hu","orcid":"0000-0002-8233-6274","position":3,"is_corresponding":false},{"id":230952,"name":"Marta Guasch‐Ferré","orcid":"0000-0001-8525-1404","position":4,"is_corresponding":false},{"id":278285,"name":"Jonathan P. Bonnet","orcid":"0000-0002-1917-0048","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-18T21:03:43.037640Z","pmid":"32304359","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":[]}