{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T14:13:36Z","timestamp":1790864016938,"version":"4.1.0"},"reference-count":45,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,8,11]],"date-time":"2017-08-11T00:00:00Z","timestamp":1502409600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>\n                      The relationship between directly measured body fat and all\u2010cause mortality has been rarely studied. The aim of this study was to evaluate the predictive significance of computed tomography (\n                      <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n                      )\u2010measured body fat, including both visceral fat area (\n                      <jats:styled-content style=\"fixed-case\">VFA<\/jats:styled-content>\n                      ) and subcutaneous fat area (\n                      <jats:styled-content style=\"fixed-case\">SFA<\/jats:styled-content>\n                      ), for mortality.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The study included 36\u2009656 participants who underwent abdominal\n                      <jats:styled-content style=\"fixed-case\">CT<\/jats:styled-content>\n                      as part of a health check\u2010up at a single university\u2010affiliated healthcare center in 2007 to 2015. Of those, 32\u2009593 participants with data regarding vital status as of\n                      <jats:styled-content style=\"fixed-case\">M<\/jats:styled-content>\n                      ay 2016 were included in the final analysis. The main factors evaluated were\n                      <jats:styled-content style=\"fixed-case\">VFA<\/jats:styled-content>\n                      ,\n                      <jats:styled-content style=\"fixed-case\">SFA<\/jats:styled-content>\n                      and visceral\u2010to\u2010subcutaneous fat area ratio (\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      ), and the primary outcome was all\u2010cause mortality.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      There were 253 deaths during a mean follow\u2010up of 5.7\u2009years. Increased\n                      <jats:styled-content style=\"fixed-case\">SFA<\/jats:styled-content>\n                      was associated with decreased all\u2010cause mortality, whereas an increased\n                      <jats:styled-content style=\"fixed-case\">VFA<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      were related to increased all\u2010cause mortality. Compared with the predictive power of body mass index (\n                      <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>\n                      ),\n                      <jats:styled-content style=\"fixed-case\">SFA<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      showed a larger area under the curve than did\n                      <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>\n                      . In\n                      <jats:styled-content style=\"fixed-case\">K<\/jats:styled-content>\n                      aplan\u2013\n                      <jats:styled-content style=\"fixed-case\">M<\/jats:styled-content>\n                      eier survival curve analysis, increased\n                      <jats:styled-content style=\"fixed-case\">SFA<\/jats:styled-content>\n                      and\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      were associated with decreased and increased hazard of all\u2010cause death, respectively. However, in multivariate\n                      <jats:styled-content style=\"fixed-case\">C<\/jats:styled-content>\n                      ox proportional hazard regression analysis, only\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      was independently associated with all\u2010cause mortality. Moreover, this relationship was paralleled by the harmful impact of increased\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      on metabolic profiles.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      Increased\n                      <jats:styled-content style=\"fixed-case\">VSR<\/jats:styled-content>\n                      was an independent predictor of all\u2010cause mortality. This suggests that the location of fat deposits may be more important than the actual amount of body fat.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.13050","type":"journal-article","created":{"date-parts":[[2017,7,3]],"date-time":"2017-07-03T09:52:40Z","timestamp":1499075560000},"page":"141-147","source":"Crossref","is-referenced-by-count":132,"title":["Body fat distribution is more predictive of all\u2010cause mortality than overall adiposity"],"prefix":"10.1111","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4419-3938","authenticated-orcid":false,"given":"Sung Woo","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Internal Medicine Seoul National University Postgraduate School  Seoul South Korea"},{"name":"Department of Internal Medicine Eulji Medical Center, Eulji University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jee Young","family":"Son","sequence":"additional","affiliation":[{"name":"Department of Radiology, Healthcare System Gangnam Center Seoul National University Hospital  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeong Min","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Eulji Medical Center, Eulji University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seung\u2010sik","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Public Health Sciences, Graduate School of Public Health Seoul National University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin Suk","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Seoul National University Hospital  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nam Ju","family":"Heo","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Healthcare System Gangnam Center Seoul National University Hospital  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,8,11]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(06)69703-1"},{"key":"e_1_2_5_3_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMp068177"},{"key":"e_1_2_5_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(14)70004-X"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2008.12.068"},{"key":"e_1_2_5_6_1","first-page":"S0085\u20132538(16)3","article-title":"A systematic review and meta\u2010analysis suggests obesity predicts onset of chronic kidney disease in the general population","author":"Garofalo C","year":"2017","journal-title":"Kidney Int"},{"key":"e_1_2_5_7_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa055643"},{"key":"e_1_2_5_8_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199910073411501"},{"key":"e_1_2_5_9_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1000367"},{"key":"e_1_2_5_10_1","doi-asserted-by":"publisher","DOI":"10.1053\/j.jrn.2014.12.006"},{"key":"e_1_2_5_11_1","doi-asserted-by":"publisher","DOI":"10.2105\/AJPH.88.4.623"},{"key":"e_1_2_5_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0735-1097(01)01802-2"},{"key":"e_1_2_5_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/eurheartj\/ehm243"},{"key":"e_1_2_5_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0800929"},{"key":"e_1_2_5_15_1","first-page":"846","article-title":"Liver fat, serum triglycerides and visceral adipose tissue in insulin\u2010sensitive and insulin\u2010resistant black men with NIDDM","volume":"19","author":"Banerji MA","year":"1995","journal-title":"Int J Obes Relat Metab Disord"},{"issue":"1","key":"e_1_2_5_16_1","first-page":"S76","article-title":"The insulin resistance\u2010dyslipidemic syndrome: contribution of visceral obesity and therapeutic implications","volume":"19","author":"Despres JP","year":"1995","journal-title":"Int J Obes Relat Metab Disord"},{"key":"e_1_2_5_17_1","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.23.4.465"},{"key":"e_1_2_5_18_1","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2011-0615"},{"key":"e_1_2_5_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0803653"},{"key":"e_1_2_5_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2006.43"},{"key":"e_1_2_5_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/nutd.2012.15"},{"key":"e_1_2_5_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2013.06.027"},{"key":"e_1_2_5_23_1","doi-asserted-by":"publisher","DOI":"10.1159\/000358335"},{"key":"e_1_2_5_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/oby.20914"},{"key":"e_1_2_5_25_1","doi-asserted-by":"publisher","DOI":"10.1002\/oby.21028"},{"key":"e_1_2_5_26_1","first-page":"S1885\u20135857(16)3","article-title":"The ratio between visceral and subcutaneous abdominal fat assessed by computed tomography is an independent predictor of mortality and cardiac events","author":"Ladeiras\u2010Lopes R","year":"2016","journal-title":"Rev Esp Cardiol (Engl Ed)"},{"key":"e_1_2_5_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.atherosclerosis.2010.07.052"},{"key":"e_1_2_5_28_1","doi-asserted-by":"publisher","DOI":"10.1136\/gut.2007.147090"},{"key":"e_1_2_5_29_1","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-150-9-200905050-00006"},{"key":"e_1_2_5_30_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1464-5491.2006.01858.x"},{"key":"e_1_2_5_31_1","unstructured":"R Core Team(2014)R: A language and environment for statistical computing. R Foundation for Statistical Computing Vienna Austria. Available:https:\/\/www.R-project.org\/."},{"key":"e_1_2_5_32_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-12-77"},{"key":"e_1_2_5_33_1","doi-asserted-by":"publisher","DOI":"10.2307\/2531595"},{"key":"e_1_2_5_34_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000162584.39366.1c"},{"key":"e_1_2_5_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2012.11.013"},{"key":"e_1_2_5_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mayocp.2016.01.008"},{"key":"e_1_2_5_37_1","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2014-305816"},{"key":"e_1_2_5_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijcard.2016.07.081"},{"key":"e_1_2_5_39_1","doi-asserted-by":"publisher","DOI":"10.7326\/M15-1181"},{"key":"e_1_2_5_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.archger.2011.07.013"},{"key":"e_1_2_5_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00380-008-1107-0"},{"key":"e_1_2_5_42_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2458-9-443"},{"key":"e_1_2_5_43_1","doi-asserted-by":"publisher","DOI":"10.3945\/ajcn.115.111203"},{"key":"e_1_2_5_44_1","doi-asserted-by":"publisher","DOI":"10.1038\/oby.2010.33"},{"key":"e_1_2_5_45_1","doi-asserted-by":"publisher","DOI":"10.1038\/ejcn.2010.82"},{"key":"e_1_2_5_46_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc09-0190"}],"container-title":["Diabetes, Obesity and Metabolism"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fdom.13050","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/dom.13050","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/dom.13050","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dom-pubs.pericles-prod.literatumonline.com\/doi\/pdf\/10.1111\/dom.13050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T04:57:46Z","timestamp":1761886666000},"score":1,"resource":{"primary":{"URL":"https:\/\/dom-pubs.pericles-prod.literatumonline.com\/doi\/10.1111\/dom.13050"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,11]]},"references-count":45,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["10.1111\/dom.13050"],"URL":"https:\/\/doi.org\/10.1111\/dom.13050","archive":["Portico"],"relation":{},"ISSN":["1462-8902","1463-1326"],"issn-type":[{"value":"1462-8902","type":"print"},{"value":"1463-1326","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,11]]}}}