{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T06:12:36Z","timestamp":1789884756429,"version":"4.0.1"},"reference-count":41,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2009,6,1]],"date-time":"2009-06-01T00:00:00Z","timestamp":1243814400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metabolic Syndrome and Related Disorders"],"published-print":{"date-parts":[[2009,6]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>The aim of this study was to determine the prevalence of the metabolic syndrome at baseline and after 6 months of lifestyle modification among obese adolescents referred to a multidisciplinary weight management program.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      A total of 165 obese adolescents were evaluated at baseline, and measurements were repeated in 57 subjects who completed 6 months of the program. Metabolic syndrome was defined as having three or more of the following: a body mass index (BMI)\u2009&gt;97\n                      <jats:sup>th<\/jats:sup>\n                      percentile, hypertension, low high-density lipoprotein cholesterol (HDL-C), hypertriglyceridemia, and impaired fasting glucose (IFG).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      The prevalence of a BMI &gt;97\n                      <jats:sup>th<\/jats:sup>\n                      percentile, hypertension, hypertriglyceridemia, low HDL-C, and IFG was 92.7, 54.5, 29.1, 26.7, and 2.4%, respectively. The prevalence of the metabolic syndrome at baseline was 30.3%. After 6 months of lifestyle modification, BMI\n                      <jats:italic toggle=\"yes\">z<\/jats:italic>\n                      scores, percent body fat, total cholesterol, and low-density lipoprotein cholesterol (LDL-C) decreased significantly from baseline; however, there was no significant change in the number of subjects demonstrating \u2265three criteria of the metabolic syndrome.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Approximately one third of the study subjects met the criteria of the metabolic syndrome, emphasizing the growing concern for the future development of premature cardiovascular disease in this high-risk population. Our data suggest that new strategies for lifestyle modification may be needed to improve cardiovascular risk factors significantly among adolescents with obesity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/met.2008.0038","type":"journal-article","created":{"date-parts":[[2009,5,20]],"date-time":"2009-05-20T16:57:13Z","timestamp":1242838633000},"page":"179-186","source":"Crossref","is-referenced-by-count":41,"title":["Prevalence of the Metabolic Syndrome Among Obese Adolescents Enrolled in a Multidisciplinary Weight Management Program: Clinical Correlates and Response to Treatment"],"prefix":"10.1177","volume":"7","author":[{"given":"Edmond P.","family":"Wickham","sequence":"first","affiliation":[{"name":"Virginia Commonwealth University"},{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marilyn","family":"Stern","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronald K.","family":"Evans","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daphne L.","family":"Bryan","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William B.","family":"Moskowitz","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University"},{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John N.","family":"Clore","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph H.","family":"Laver","sequence":"additional","affiliation":[{"name":"Virginia Commonwealth University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2009,6,1]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2004-1389"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2007-2329C"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.295.13.1549"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa031049"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2006-1699"},{"key":"e_1_3_3_7_2","volume-title":"2000 CDC Growth Charts for the United States: Methods and Development 246, 1\u2013190","author":"Kuczamarski RJ","year":"2002","unstructured":"Kuczamarski RJ, , Ogden CL, , Guo SS, , Grummer-Strawn LM, , Flegal KM. 2000 CDC Growth Charts for the United States: Methods and Development 246, 1\u2013190. 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