{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T16:03:53Z","timestamp":1787241833595,"version":"build-2736575974"},"reference-count":25,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2010,4,1]],"date-time":"2010-04-01T00:00:00Z","timestamp":1270080000000},"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":[[2010,4]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Metabolic risk varies within adult body mass index (BMI) categories; however, the development of BMI-specific metabolic risk from childhood is unknown.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>The sample included 895 adults (20\u201338 years of age; 43% male, 34% black) from the Bogalusa Heart Study (1995\u20132002), who had been measured as children (5\u201318 years of age) in 1981\u20131982. Adult metabolic risk was assessed using two definitions: Cardiometabolic risk factor clustering (RFC) included two or more abnormal risk factors [blood pressure, high-density lipoprotein cholesterol (HDL-C), triglycerides, and fasting glucose] and insulin resistance (IR), comprising the top quartile of the homeostasis model of insulin resistance (HOMA-IR) distribution. Logistic regression, within BMI categories, was used to predict adult metabolic risk from childhood mean arterial pressure (MAP), HDL-C, low-density lipoprotein cholesterol (LDL-C), glucose, and triglycerides. Covariates included childhood age, race, sex, adult BMI, and length of follow-up.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The prevalence of the adult abnormal metabolic risk profile varied by definitions of metabolic risk (normal weight, 5%\u20139%; overweight, 15%\u201323%; and obese, 40%\u201353%). The adult abnormal profile was associated with higher childhood LDL-C [IR, odds ratio (OR), 1.95; 95% confidence interval (CI), 1.06\u20133.58) and insulin (IR, OR, 1.69; CI, 1.10\u20132.58) in normal-weight adults; lower childhood HDL-C in overweight adults (RFC, OR, 0.61; CI, 0.40\u20130.94); and higher childhood MAP (RFC, OR, 1.75; CI, 1.24\u20132.47) and glucose (IR, OR,1.38; CI, 1.06\u20131.81) in obese adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Some childhood metabolic risk factors are moderately associated with adult BMI-specific metabolic risk profiles. The ability to identify children with high future adult cardiovascular risk may initiate early treatment options.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/met.2009.0063","type":"journal-article","created":{"date-parts":[[2010,2,16]],"date-time":"2010-02-16T01:29:47Z","timestamp":1266283787000},"page":"165-172","source":"Crossref","is-referenced-by-count":17,"title":["Predicting Adult Body Mass Index\u2013Specific Metabolic Risk From Childhood"],"prefix":"10.1177","volume":"8","author":[{"suffix":"Ph.D.","given":"Sarah M.","family":"Camhi","sequence":"first","affiliation":[{"name":"Pennington Biomedical Research Center, Baton Rouge, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Ph.D.","given":"Peter T.","family":"Katzmarzyk","sequence":"additional","affiliation":[{"name":"Pennington Biomedical Research Center, Baton Rouge, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Ph.D.","given":"Stephanie","family":"Broyles","sequence":"additional","affiliation":[{"name":"Pennington Biomedical Research Center, Baton Rouge, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Ph.D.","given":"Sathanur R.","family":"Srinivasan","sequence":"additional","affiliation":[{"name":"Tulane Center for Cardiovascular Health and Department of Epidemiology, Tulane Health Sciences Center, New Orleans, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"M.D.,Ph.D.","given":"Wei","family":"Chen","sequence":"additional","affiliation":[{"name":"Tulane Center for Cardiovascular Health and Department of Epidemiology, Tulane Health Sciences Center, New Orleans, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Ph.D.","given":"Claude","family":"Bouchard","sequence":"additional","affiliation":[{"name":"Pennington Biomedical Research Center, Baton Rouge, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Ph.D.","given":"Gerald S.","family":"Berenson","sequence":"additional","affiliation":[{"name":"Tulane Center for Cardiovascular Health and Department of Epidemiology, Tulane Health Sciences Center, New Orleans, Louisiana."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2010,4,1]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1139\/h06-092"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/34.8.1617"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1038\/sj.ijo.0801880"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2006-0594"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1262-3636(07)70156-8"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.2337\/dc07-0419"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2005-0482"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.168.15.1609"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.168.15.1617"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/0091-7435(90)90061-N"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.aje.a115968"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1001\/archinte.1994.00420160079011"},{"key":"e_1_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1093\/oxfordjournals.aje.a009048"},{"key":"e_1_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwm105"},{"key":"e_1_3_3_16_2","volume-title":"Health NIo","author":"Program LRC","year":"1975","unstructured":"Program LRC. 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