{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T05:46:37Z","timestamp":1782798397843,"version":"3.54.5"},"reference-count":34,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Nutr."],"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To analyze the relationship between the Metabolic Score for Visceral Fat (METS-VF), bone mineral content (BMC), and bone metabolism indexes in Chinese adolescents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross-sectional study used stratified cluster sampling to select 1,206 adolescents (12\u201318\u202fyears) from six schools in Yinchuan (2017\u20132023). Body composition and BMC of the participants were measured using bioelectrical impedance analysis (BIA). Serum bone metabolism indexes [osteocalcin (OC) and C-terminal telopeptide of type I collagen (CTX)] were measured.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      METS-VF was found to be associated with BMC (\n                      <jats:italic>r<\/jats:italic>\n                      \u202f=\u202f0.484,\n                      <jats:italic>P<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.001) and OC (\n                      <jats:italic>r<\/jats:italic>\n                      \u202f=\u202f\u22120.074,\n                      <jats:italic>P<\/jats:italic>\n                      \u202f=\u202f0.010), but not with CTX (\n                      <jats:italic>r<\/jats:italic>\n                      \u202f=\u202f0.042,\n                      <jats:italic>P<\/jats:italic>\n                      \u202f=\u202f0.141). After adjusting for confounding factors, compared with the lowest quartile of METS-VF, the risk of low BMC in the highest quartile was significantly lower, with an OR of 0.17 (95% CI: 0.05\u20130.49), whereas the risk of low OC was significantly higher, with an OR of 3.47 (95% CI: 1.82\u20136.59) (all\n                      <jats:italic>P<\/jats:italic>\n                      &amp;lt;\u202f0.05). In sex-stratified analyses, this association was significant in both boys and girls (OR\n                      <jats:sub>boys<\/jats:sub>\n                      =\u202f0.03, 95% CI: 0.01\u20130.46,\n                      <jats:italic>P<\/jats:italic>\n                      =\u202f0.007; OR\n                      <jats:sub>girls<\/jats:sub>\n                      =\u202f0.20, 95% CI: 0.06\u20130.64,\n                      <jats:italic>P<\/jats:italic>\n                      =\u202f0.005). Restricted cubic spline curves indicated that there was an inverted U-shaped non-linear relationship between METS-VF and BMC (\n                      <jats:italic>P-<\/jats:italic>\n                      overall\u202f=\u202f0.002,\n                      <jats:italic>P<\/jats:italic>\n                      -nonlinear\u202f=\u202f0.009). In sex-stratified analyses, the association was significant in girls (\n                      <jats:italic>P<\/jats:italic>\n                      -nonlinear\u202f=\u202f0.152;\n                      <jats:italic>P-<\/jats:italic>\n                      overall\u202f=\u202f0.008); Moreover, linear relationship between METS-VF and OC were found (\n                      <jats:italic>P<\/jats:italic>\n                      nonlinear\u202f=\u202f0.162,\n                      <jats:italic>P-<\/jats:italic>\n                      overall &amp;lt;0.05). Receiver operating characteristic (ROC) curves showed that METS-VF had modest discriminatory ability for low BMC better than VAI and TyG (AUC\u202f=\u202f0.641, 95% CI\u202f=\u202f0.605\u20130.678,\n                      <jats:italic>P<\/jats:italic>\n                      \u202f&amp;lt;\u202f0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our findings suggest a non-linear association between METS-VF and BMC in adolescents, and fat distribution and content were more closely related to bone metabolism.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fnut.2026.1822235","type":"journal-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T05:37:34Z","timestamp":1782797854000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Impact of metabolic score for visceral fat on bone health in adolescent population: a cross-sectional study perspective"],"prefix":"10.3389","volume":"13","author":[{"given":"Linlin","family":"Chen","sequence":"first","affiliation":[{"name":"School of Public Health, Ningxia Medical University","place":["Yinchuan, China"]},{"name":"Key Laboratory of Environmental Factors and Chronic Disease Control","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianxi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Public Health, Ningxia Medical University","place":["Yinchuan, China"]},{"name":"Key Laboratory of Environmental Factors and Chronic Disease Control","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longkai","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Public Health, Ningxia Medical University","place":["Yinchuan, China"]},{"name":"Key Laboratory of Environmental Factors and Chronic Disease Control","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingli","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Public Health, Ningxia Medical University","place":["Yinchuan, China"]},{"name":"Key Laboratory of Environmental Factors and Chronic Disease Control","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenqing","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Public Health, Ningxia Medical University","place":["Yinchuan, China"]},{"name":"Key Laboratory of Environmental Factors and Chronic Disease Control","place":["Yinchuan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,6,30]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/s00431-022-04743-x","article-title":"Osteoporosis in children and adolescents: how to 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