{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T17:19:03Z","timestamp":1791566343698,"version":"4.3.4"},"reference-count":59,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T00:00:00Z","timestamp":1581033600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korea National Health and Nutrition Examination Surveys"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2020,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The present study evaluated the associations of the fat\u2010to\u2010muscle ratio (FMR) with metabolic syndrome (MetS) and insulin resistance (IR) in Korean adults using nationally representative survey data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A two\u2010stage stratified sampling method was reflected in a cross\u2010sectional study involving a total of 13\u00a0032 participants aged\u00a0\u2265\u00a019\u00a0years who participated in the fourth and fifth Korea National Health and Nutrition Examination Surveys. The homeostasis model assessment for IR (HOMA\u2010IR) was used to evaluate IR and was calculated as follows: [fasting plasma glucose level (mg\/dL)\u00a0\u00d7\u00a0fasting plasma insulin level (uIU\/mL)]\/405. MetS was defined using the 2006 International Diabetes Federation criteria, and FMR was measured using whole\u2010body dual\u2010energy X\u2010ray absorptiometry and calculated as follows: total fat mass (kg) divided by total lean mass (kg). In addition, the optimal FMR cut\u2010off values for detecting MetS and the odds ratios (ORs) for MetS risk were determined according to the FMR quartile and sex.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among all participants, the proportion of women was 58.4%, and the mean age was 44.22\u00a0\u00b1\u00a00.26\u00a0years. The FMR significantly differed between men and women (0.30\u00a0\u00b1\u00a00.002 vs. 0.53\u00a0\u00b1\u00a00.003, respectively,\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a00.001), and the prevalence of MetS and IR gradually increased as FMR increased (\n                      <jats:italic>P<\/jats:italic>\n                      for trend: &lt;0.001). The optimal FMR cut\u2010off value for detecting MetS was higher in women than in men (0.555 vs. 0.336, respectively). The negative predictive value was the highest in normal\u2010weight participants (0.9992 in women and 0.9986 in men), while the positive predictive value was the highest in obese participants (0.5994 in women and 0.5428 in men). Based on the derived cut\u2010off FMR, a high FMR was associated with poor outcomes in terms of cardiometabolic risk markers (\n                      <jats:italic>P<\/jats:italic>\n                      \u00a0&lt;\u00a00.001). The multivariable\u2010adjusted ORs for MetS, abdominal obesity, and IR (HOMA\u2010IR\u00a0\u2265\u00a03) were 5.35 [95% confidence interval (CI): 4.39\u20136.52], 7.67 (95% CI: 6.33\u20139.30), and 3.25 (95% CI: 2.70\u20133.92), respectively, in men and 5.59 (95% CI: 4.66\u20136.72), 7.48 (95% CI: 6.35\u20138.82), and 2.55 (95% CI: 2.17\u20133.00), respectively, in women.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In the present study, a high FMR was significantly associated with the prevalence of MetS and IR. The present findings also showed that FMR can be a novel indicator for detecting the absence or presence of MetS, particularly in metabolically healthy normal\u2010weight individuals and metabolically obese obese\u2010weight individuals.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.12548","type":"journal-article","created":{"date-parts":[[2020,2,7]],"date-time":"2020-02-07T04:45:50Z","timestamp":1581050750000},"page":"710-725","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":92,"title":["Fat\u2010to\u2010muscle ratio as a predictor of insulin resistance and metabolic syndrome in Korean adults"],"prefix":"10.1002","volume":"11","author":[{"given":"Young\u2010Gyun","family":"Seo","sequence":"first","affiliation":[{"name":"Department of Family Medicine Hallym University Sacred Heart Hospital  Anyang Gyeonggi\u2010do Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong 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