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We aimed to evaluate the sex\u2010specific association of VAT and FMR with all\u2010cause and cause\u2010specific mortality by age.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 438\u2009896 participants (49.8% men, mean age\u00a0\u00b1\u00a0standard deviation: 57\u00a0\u00b1\u00a08\u00a0years for men; 56\u00a0\u00b1\u00a08\u00a0years for women) were included from the UK Biobank cohort. The nature of VAT was predictive, as obtained by sex\u2010stratified, non\u2010linear prediction models. Fat and muscle mass were estimated using a bioelectrical impedance assessment device. FMR was calculated as the fat mass divided by the muscle mass in the whole body. VAT and FMRs were divided into quintiles in ascending order, and the 3rd quintile was used as the reference. Cox regression analyses were used to estimate the associations between VAT, FMR and mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      During a median of 12.4\u00a0years of follow\u2010up, we documented 29\u2009903 deaths. After adjusting for various covariates, the individuals in the highest quintiles of VAT and FMR had the highest hazard ratios (HRs) of all\u2010cause mortality [1.24 (95% confidence interval: 1.17\u20131.33) for VAT and 1.24 (1.17\u20131.31) for FMR in men; and 1.11 (1.03\u20131.21) for VAT in women], except that the 1st quintile of FMR in women had the greatest HR [1.18 (1.09\u20131.27)]. Significant interactions were observed in both sexes according to age category (\n                      <jats:italic>P<\/jats:italic>\n                      for interaction\u00a0&lt;\u00a00.05). Among men &lt;50\u00a0years, participants in the 1st and 5th quintiles of VAT and FMR had significantly higher risks of mortality [1.30 (1.02\u20131.66) and 1.67 (1.27\u20132.19) in VAT; 1.25 (0.99\u20131.56) and 1.41 (1.11\u20131.79) in FMR, respectively]; in women, this phenomenon was observed in the \u226560 age group [1.16 (1.06\u20131.27) and 1.19 (1.08\u20131.31) in VAT; 1.18 (1.08\u20131.29) and 1.11 (1.01\u20131.22) in FMR, respectively]. VAT showed a linear positive association with mortality in women &lt;60\u00a0years and a J\u2010shaped association from respiratory disease in both sexes \u226560\u00a0years. FMR showed a linear positive association with mortality from cancer in men &lt;60\u00a0years and a J\u2010shaped association with mortality from cause\u2010specific mortality in both sexes \u226560\u00a0years, except for mortality from cardiovascular disease in men.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Most associations of VAT and FMR with all\u2010cause mortality were J\u2010shaped and were significantly modified by age status (&lt;50, 50\u201359 and \u226560\u00a0years). The clinical implication is that regarding body composition and VAT mass, different health strategies may be adopted for people of different sexes and ages.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.13142","type":"journal-article","created":{"date-parts":[[2022,11,30]],"date-time":"2022-11-30T02:40:59Z","timestamp":1669776059000},"page":"406-417","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Age\u2010specific and sex\u2010specific associations of visceral adipose tissue mass and fat\u2010to\u2010muscle mass ratio with risk of mortality"],"prefix":"10.1002","volume":"14","author":[{"given":"Bowei","family":"Yu","sequence":"first","affiliation":[{"name":"Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital Shanghai JiaoTong University School of Medicine  Shanghai 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