{"doi":"10.1159/000540219","title":"Central Lean Mass Distribution and the Risks of All-Cause and Cause-Specific Mortality in 40,283 UK Biobank Participants","abstract":"INTRODUCTION: The purpose of this study was to investigate the association of central lean mass distribution with the risk of mortality. METHODS: This cohort study included 40,283 UK Biobank participants. Cox proportional hazards regression models were used to estimate the association of central lean mass distribution, i.e., trunk-to-leg lean mass ratio, assessed by dual-energy X-ray absorptiometry, with the risk of mortality. RESULTS: The median age of the participants was 65 years, and 52% were women. During a median follow-up of 4.18 years, 674 participants died, of whom 366 were due to cancer and 126 were due to cardiovascular causes. Compared with the lowest tertile of a trunk-to-leg lean mass ratio, the multivariable-adjusted (age, sex, ethnicity, lifestyle, comorbidities, body mass index, and appendicular muscle mass index) hazards ratios of the highest tertile of trunk-to-leg lean mass ratio were 1.55 (95% CI: 1.23-1.94), 1.69 (95% CI: 1.26-2.26), and 1.14 (95% CI: 0.72-1.80) for all-cause, cancer, and cardiovascular mortality, respectively. Neutrophil-to-lymphocyte ratio mediated 9.3% (95% CI: 3.3%-40.4%) of the association of trunk-to-leg lean mass ratio with all-cause mortality. There was evidence for additive interactions of trunk-to-leg lean mass ratio with older age and poor diet quality for all-cause mortality. CONCLUSION: Trunk-to-leg lean mass ratio, assessed by dual-energy X-ray absorptiometry, was positively associated with the risks of all-cause and cancer mortality, independent of general obesity and central obesity, in UK middle-aged and older adults. Central lean mass distribution may interact synergistically with aging and poor diet quality to further increase the risk of death.","journal":"Obesity Facts","year":2024,"id":477209,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9426,"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":495120,"name":"Yuxin Fan","orcid":"0000-0003-1561-1472","position":1,"is_corresponding":false},{"id":1315017,"name":"Jiaxing Wang","orcid":"0000-0002-7672-6911","position":2,"is_corresponding":false},{"id":1315018,"name":"Xiaohui Ma","orcid":"0009-0003-3880-5752","position":3,"is_corresponding":false},{"id":1315505,"name":"Lina W. Chang","orcid":null,"position":4,"is_corresponding":false},{"id":1315019,"name":"Qing He","orcid":"0000-0002-8876-8908","position":5,"is_corresponding":false},{"id":1285000,"name":"Gang Hu","orcid":"0000-0001-7771-8414","position":6,"is_corresponding":false},{"id":289733,"name":"Ming Liu","orcid":"0000-0003-2665-4072","position":7,"is_corresponding":false},{"id":108228,"name":"Li Ding","orcid":"0000-0003-1517-2975","position":0,"is_corresponding":true}],"reference_count":27,"raw_metadata":null,"created_at":"2026-07-19T02:06:33.741984Z","pmid":"39047689","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":[]}