{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T14:30:01Z","timestamp":1648737001015},"reference-count":23,"publisher":"Walter de Gruyter GmbH","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,3,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_jpem-2017-0522_s_999_w2aab3b7c50b1b6b1aab1c16b1Aa\">\n                  <jats:title>Background:<\/jats:title>\n                  <jats:p>Many studies have reported the association between body mass index (BMI) and fasting lipid profiles in children. However, little information exists about the screening of dyslipidemia in the non-fasted state. This study assessed whether BMI can predict non-fasting lipid abnormalities in children.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpem-2017-0522_s_998_w2aab3b7c50b1b6b1aab1c16b2Aa\">\n                  <jats:title>Methods:<\/jats:title>\n                  <jats:p>Using gender-separated analysis, 3895 boys and 3866 girls (aged 11\u201312 years) were investigated. Total cholesterol (TC), triglyceride (TG) and HDL-cholesterol (HDL-C) were measured, and non-HDL-C (=TC\u2212[HDL-C]) was calculated. A BMI <jats:italic>z<\/jats:italic>-score was employed as the weight status. Gender-specific 95th percentiles of TC, TG and non-HDL-C were defined as \u201celevated\u201d, with the 5th percentiles of HDL-C defined as \u201creduced\u201d.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpem-2017-0522_s_997_w2aab3b7c50b1b6b1aab1c16b3Aa\">\n                  <jats:title>Results:<\/jats:title>\n                  <jats:p>TG and non-HDL-C were positively, and HDL-C was negatively correlated with the BMI <jats:italic>z<\/jats:italic>-score in both genders. Both obese (2&lt;BMI <jats:italic>z<\/jats:italic>-score) and overweight (1&lt;BMI <jats:italic>z<\/jats:italic>-score\u22642) were associated with the risks of elevated TG, non-HDL-C and reduced HDL-C. In both genders, a receiver operating characteristic curve demonstrated that the utility of predicting the above lipid abnormalities was moderate; the areas under the curve ranged from 0.60 to 0.70. The optimal cut-off for the BMI <jats:italic>z<\/jats:italic>-score for predicting elevated TG, non-HDL-C and reduced HDL-C were 0.52, 0.55 and 0.51 in boys and 0.34, 0.38 and 0.35 in girls, respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_jpem-2017-0522_s_996_w2aab3b7c50b1b6b1aab1c16b4Aa\">\n                  <jats:title>Conclusions:<\/jats:title>\n                  <jats:p>The BMI could be an indicator of abnormalities of non-fasting TG, non-HDL-C and HDL-C in both genders.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/jpem-2017-0522","type":"journal-article","created":{"date-parts":[[2018,1,26]],"date-time":"2018-01-26T10:00:41Z","timestamp":1516960841000},"page":"283-288","source":"Crossref","is-referenced-by-count":0,"title":["The utility of body mass index as an indicator for lipid abnormalities in non-fasting children"],"prefix":"10.1515","volume":"31","author":[{"given":"Masanori","family":"Shimodaira","sequence":"first","affiliation":[{"name":"Department of Internal Medicine , Iida Municipal Hospital , 438 Yawata-machi , Iida, Nagano, 395-8502 , Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masahiro","family":"Hara","sequence":"additional","affiliation":[{"name":"Niino Clinic , Anan-machi, Nagano , Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadao","family":"Nakajima","sequence":"additional","affiliation":[{"name":"Nakajima Clinic , Shimojo-mura, Nagano , Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tohru","family":"Tateishi","sequence":"additional","affiliation":[{"name":"Sukigara Clinic , Nagano, Iida , Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshikazu","family":"Hisata","sequence":"additional","affiliation":[{"name":"Hisata Pediatric Clinic , Nagano, Iida , Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2018,1,26]]},"reference":[{"key":"2021021317394343171_j_jpem-2017-0522_ref_001_w2aab3b7c50b1b6b1ab2b2b1Aa","unstructured":"Dalili S, Rezvani SM, Dalili H, Mohtasham Amiri Z, Mohammadi H, et al. Cardio-metabolic risk factors in Iranian children: where we are and the others? Acta Med Iran 2014;52:831\u20136."},{"key":"2021021317394343171_j_jpem-2017-0522_ref_002_w2aab3b7c50b1b6b1ab2b2b2Aa","unstructured":"Vieira Cunha Lima SC, Oliveira Lyra C, Galvao Bacurau Pinheiro L, Medeiros de Azevedo PR, Arrais RF, et al. Association between dyslipidemia and anthropometric indicators in adolescents. Nutr Hosp 2011;26:304\u201310."},{"key":"2021021317394343171_j_jpem-2017-0522_ref_003_w2aab3b7c50b1b6b1ab2b2b3Aa","doi-asserted-by":"crossref","unstructured":"Daniels SR, Greer FR. Lipid screening and cardiovascular health in childhood. Pediatrics 2008;122:198\u2013208.","DOI":"10.1542\/peds.2008-1349"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_004_w2aab3b7c50b1b6b1ab2b2b4Aa","doi-asserted-by":"crossref","unstructured":"Bao W, Srinivasan SR, Valdez R, Greenlund KJ, Wattigney WA, et al. Longitudinal changes in cardiovascular risk from childhood to young adulthood in offspring of parents with coronary artery disease: the Bogalusa Heart Study. J Am Med Assoc 1997;278:1749\u201354.","DOI":"10.1001\/jama.1997.03550210047037"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_005_w2aab3b7c50b1b6b1ab2b2b5Aa","doi-asserted-by":"crossref","unstructured":"Srinivasan SR, Myers L, Berenson GS. Distribution and correlates of non-high-density lipoprotein cholesterol in children: the Bogalusa Heart Study. Pediatrics 2002;110:e29.","DOI":"10.1542\/peds.110.3.e29"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_006_w2aab3b7c50b1b6b1ab2b2b6Aa","doi-asserted-by":"crossref","unstructured":"Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002;106:3143\u2013421.","DOI":"10.1161\/circ.106.25.3143"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_007_w2aab3b7c50b1b6b1ab2b2b7Aa","doi-asserted-by":"crossref","unstructured":"Kubo T, Takahashi K, Furujo M, Hyodo Y, Tsuchiya H, et al. Usefulness of non-fasting lipid parameters in children. J Pediatr Endocrinol Metab 2017;30:77\u201383.","DOI":"10.1515\/jpem-2016-0271"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_008_w2aab3b7c50b1b6b1ab2b2b8Aa","doi-asserted-by":"crossref","unstructured":"de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, et al. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007;85:660\u20137.","DOI":"10.2471\/BLT.07.043497"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_009_w2aab3b7c50b1b6b1ab2b2b9Aa","doi-asserted-by":"crossref","unstructured":"Schaefer EJ, Audelin MC, McNamara JR, Shah PK, Tayler T, et al. Comparison of fasting and postprandial plasma lipoproteins in subjects with and without coronary heart disease. Am J Cardiol 2001;88:1129\u201333.","DOI":"10.1016\/S0002-9149(01)02047-1"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_010_w2aab3b7c50b1b6b1ab2b2c10Aa","doi-asserted-by":"crossref","unstructured":"Steiner MJ, Skinner AC, Perrin EM. Fasting might not be necessary before lipid screening: a nationally representative cross-sectional study. Pediatrics 2011;128:463\u201370.","DOI":"10.1542\/peds.2011-0844"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_011_w2aab3b7c50b1b6b1ab2b2c11Aa","doi-asserted-by":"crossref","unstructured":"Kubo T, Takahashi K, Furujo M, Hyodo Y, Tsuchiya H, et al. Usefulness of non-fasting lipid parameters in children. J Pediatr Endocrinol Metab 2017;30:77\u201383.","DOI":"10.1515\/jpem-2016-0271"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_012_w2aab3b7c50b1b6b1ab2b2c12Aa","doi-asserted-by":"crossref","unstructured":"Dai S, Yang Q, Yuan K, Loustalot F, Fang J, et al. Non-high-density lipoprotein cholesterol: distribution and prevalence of high serum levels in children and adolescents: United States National Health and Nutrition Examination Surveys, 2005\u20132010. J Pediatr 2014;164:247\u201353.","DOI":"10.1016\/j.jpeds.2013.08.069"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_013_w2aab3b7c50b1b6b1ab2b2c13Aa","doi-asserted-by":"crossref","unstructured":"Kit BK, Carroll MD, Lacher DA, Sorlie PD, DeJesus JM, et al. Trends in serum lipids among US youths aged 6 to 19 years, 1988-2010. J Am Med Assoc 2012;308:591\u2013600.","DOI":"10.1001\/jama.2012.9136"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_014_w2aab3b7c50b1b6b1ab2b2c14Aa","doi-asserted-by":"crossref","unstructured":"Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011;128(Suppl 5):S213\u201356.","DOI":"10.1542\/peds.2009-2107C"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_015_w2aab3b7c50b1b6b1ab2b2c15Aa","unstructured":"Ribas SA, Santana da Silva LC. Anthropometric indices: predictors of dyslipidemia in children and adolescents from north of Brazil. Nutr Hosp 2012;27:1228\u201335."},{"key":"2021021317394343171_j_jpem-2017-0522_ref_016_w2aab3b7c50b1b6b1ab2b2c16Aa","doi-asserted-by":"crossref","unstructured":"Plachta-Danielzik S, Landsberg B, Johannsen M, Lange D, Muller MJ. Association of different obesity indices with blood pressure and blood lipids in children and adolescents. Br J Nutr 2008;100:208\u201318.","DOI":"10.1017\/S0007114508882980"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_017_w2aab3b7c50b1b6b1ab2b2c17Aa","unstructured":"Despres JP, Lemieux S, Lamarche B, Prud\u2019homme D, Moorjani S, et al. The insulin resistance-dyslipidemic syndrome: contribution of visceral obesity and therapeutic implications. Int J Obes Relat Metab Disord 1995;19(Suppl 1):S76\u201386."},{"key":"2021021317394343171_j_jpem-2017-0522_ref_018_w2aab3b7c50b1b6b1ab2b2c18Aa","doi-asserted-by":"crossref","unstructured":"Chu NF, Rimm EB, Wang DJ, Liou HS, Shieh SM. Relationship between anthropometric variables and lipid levels among school children: The Taipei Children Heart Study. Int J Obes Relat Metab Disord 1998;22:66\u201372.","DOI":"10.1038\/sj.ijo.0800546"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_019_w2aab3b7c50b1b6b1ab2b2c19Aa","doi-asserted-by":"crossref","unstructured":"Rust KF, Rao JN. Variance estimation for complex surveys using replication techniques. Stat Methods Med Res 1996;5:283\u2013310.","DOI":"10.1177\/096228029600500305"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_020_w2aab3b7c50b1b6b1ab2b2c20Aa","doi-asserted-by":"crossref","unstructured":"Lee JM, Gebremariam A, Card-Higginson P, Shaw JL, Thompson JW, et al. Poor performance of body mass index as a marker for hypercholesterolemia in children and adolescents. Arch Pediatr Adolesc Med 2009;163:716\u201323.","DOI":"10.1001\/archpediatrics.2009.109"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_021_w2aab3b7c50b1b6b1ab2b2c21Aa","doi-asserted-by":"crossref","unstructured":"Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics 2007;120 (Suppl 4):S164\u201392.","DOI":"10.1542\/peds.2007-2329C"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_022_w2aab3b7c50b1b6b1ab2b2c22Aa","doi-asserted-by":"crossref","unstructured":"Type 2 diabetes in children and adolescents. American Diabetes Association. Diabetes Care 2000;23:381\u20139.","DOI":"10.2337\/diacare.23.3.381"},{"key":"2021021317394343171_j_jpem-2017-0522_ref_023_w2aab3b7c50b1b6b1ab2b2c23Aa","doi-asserted-by":"crossref","unstructured":"Skinner AC, Mayer ML, Flower K, Perrin EM, Weinberger M. Using BMI to determine cardiovascular risk in childhood: how do the BMI cutoffs fare? Pediatrics 2009;124:e905\u201312.","DOI":"10.1542\/peds.2009-0179"}],"container-title":["Journal of Pediatric Endocrinology and Metabolism"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/jpem.2018.31.issue-3\/jpem-2017-0522\/jpem-2017-0522.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jpem-2017-0522\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jpem-2017-0522\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T01:43:36Z","timestamp":1619055816000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jpem-2017-0522\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,26]]},"references-count":23,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,1,26]]},"published-print":{"date-parts":[[2018,3,28]]}},"alternative-id":["10.1515\/jpem-2017-0522"],"URL":"https:\/\/doi.org\/10.1515\/jpem-2017-0522","relation":{},"ISSN":["2191-0251","0334-018X"],"issn-type":[{"value":"2191-0251","type":"electronic"},{"value":"0334-018X","type":"print"}],"subject":[],"published":{"date-parts":[[2018,1,26]]}}}