{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T01:34:54Z","timestamp":1778722494111,"version":"3.51.4"},"reference-count":44,"publisher":"Walter de Gruyter GmbH","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec id=\"j_jpem-2018-0066_s_999_w2aab3b7c22b1b6b1aab1c16b1Aa\">\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>\n                      The objective of the study was to investigate the response of\n                      <jats:italic>64Arg<\/jats:italic>\n                      allele carriers of the\n                      <jats:italic>ADRB3<\/jats:italic>\n                      gene (\n                      <jats:italic>Trp64Arg<\/jats:italic>\n                      polymorphism) in the anthropometric, cardiorespiratory and metabolic variables in overweight adolescents after a 12-week aerobic exercise and nutritional program.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpem-2018-0066_s_998_w2aab3b7c22b1b6b1aab1c16b2Aa\">\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>\n                      A total of 92 overweight adolescents, 10\u201316 years old and of both genders, participated. Body composition, waist circumference (WC), pubertal stage status, blood pressure, glucose, insulin and lipid profile and direct maximal oxygen uptake were assessed at baseline and after 12 weeks of a training program. The homeostasis metabolic assessments [homeostasis model assessment of insulin resistance (HOMA-IR)] and quantitative insulin sensitivity check index (QUICKI) were determined and the\n                      <jats:italic>Trp64Arg<\/jats:italic>\n                      polymorphism of the\n                      <jats:italic>ADRB3<\/jats:italic>\n                      gene was investigated by Taqman single nucleotide polymorphism (SNP) genotyping assays. Exercise sessions consisted of 100-min aerobic exercise and 20-min stretching, 3 times a week, totalizing 36 sessions. Multivariate analysis of variance (MANOVA), analysis of covariance (ANCOVA) and effect size were used for variables, with p&lt;0.05 considered significant.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpem-2018-0066_s_997_w2aab3b7c22b1b6b1aab1c16b3Aa\">\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      In baseline, HOMA-IR was higher in carriers of the\n                      <jats:italic>64Arg<\/jats:italic>\n                      allele and decreased more after 12 weeks than in non-carriers (p=0.01). The anthropometric, physical fitness and metabolic profiles had similar responses after training in carriers and non-carriers.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_jpem-2018-0066_s_996_w2aab3b7c22b1b6b1aab1c16b4Aa\">\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>\n                      Overweight adolescents present changes in body composition and physical fitness, independent of\n                      <jats:italic>Trp64Arg<\/jats:italic>\n                      genotypes. However, a 12-week aerobic exercise and nutritional program promoted greater reductions in insulin resistance in carriers of the\n                      <jats:italic>64Arg<\/jats:italic>\n                      allele.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/jpem-2018-0066","type":"journal-article","created":{"date-parts":[[2019,2,5]],"date-time":"2019-02-05T04:01:44Z","timestamp":1549339304000},"page":"1033-1042","source":"Crossref","is-referenced-by-count":7,"title":["12-Week aerobic exercise and nutritional program minimized the presence of the\n                    <i>64Arg<\/i>\n                    allele on insulin resistance"],"prefix":"10.1515","volume":"31","author":[{"given":"Gerusa E.","family":"Milano-Gai","sequence":"first","affiliation":[{"name":"Physical Education Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Lupe","family":"Furtado-Alle","sequence":"additional","affiliation":[{"name":"Genetic Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Jorge","family":"Mota","sequence":"additional","affiliation":[{"name":"Ciafel, Porto University , Porto , Portugal"}]},{"given":"Leilane","family":"Lazarotto","sequence":"additional","affiliation":[{"name":"Physical Education Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Gisele E.","family":"Milano","sequence":"additional","affiliation":[{"name":"Physical Education Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Ricardo R.","family":"de Souza Lehtonen","sequence":"additional","affiliation":[{"name":"Genetic Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Ana C.K.","family":"Titski","sequence":"additional","affiliation":[{"name":"Physical Education Department , Federal University of Paran\u00e1 , Curitiba , Brazil"},{"name":"Ciafel, Porto University , Curitiba , Brazil"}]},{"given":"\u00cdncare C.","family":"Jesus","sequence":"additional","affiliation":[{"name":"Physical Education Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Luciane V.","family":"Tureck","sequence":"additional","affiliation":[{"name":"Genetic Department , Federal University of Technology , Ponta Grossa , Brazil"}]},{"given":"Rosana B.","family":"Radominski","sequence":"additional","affiliation":[{"name":"Nutrition Department , Federal University of Paran\u00e1 , Curitiba , Brazil"}]},{"given":"Manuel Jo\u00e3o","family":"Coelho-e-Silva","sequence":"additional","affiliation":[{"name":"Faculty of Sport Sciences and Physical Education , Coimbra University , Coimbra , Portugal"}]},{"given":"Neiva","family":"Leite","sequence":"additional","affiliation":[{"name":"Physical Education Department , Federal University of Paran\u00e1 , Curitiba , Brazil"},{"name":"Ciafel, Porto University , Curitiba , Brazil , Phone\/Fax: +55 41 3360 4326"}]}],"member":"374","published-online":{"date-parts":[[2018,9,8]]},"reference":[{"key":"2026020622150183570_j_jpem-2018-0066_ref_001_w2aab3b7c22b1b6b1ab2b2b1Aa","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez JR, Bohan Brown M, L\u00f3pez-Alarc\u00f3n M, Dawson JA, Guo F, et al. Changes in pediatric waist circumference percentiles despite reported pediatric weight stabilization in the United States. Pediatr Obes 2017;12:347\u201355.","DOI":"10.1111\/ijpo.12150"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_002_w2aab3b7c22b1b6b1ab2b2b2Aa","doi-asserted-by":"crossref","unstructured":"Kelly AS, Barlow SE, Rao G, Inge TH, Hayman LL, et al. Severe obesity in children and adolescents: identification, associated health risks, and treatment approaches: a scientific statement from the American Heart Association. Circulation 2013;128:1689\u2013712.","DOI":"10.1161\/CIR.0b013e3182a5cfb3"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_003_w2aab3b7c22b1b6b1ab2b2b3Aa","doi-asserted-by":"crossref","unstructured":"Jackowski S, Eisenmann J, Sherar LB, Bailey DA, Baxter-Jones A. Adolescent trajectories of aerobic fitness and adiposity as markers of cardio-metabolic risk in adulthood. J Obes 2017, (in press).","DOI":"10.1155\/2017\/6471938"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_004_w2aab3b7c22b1b6b1ab2b2b4Aa","doi-asserted-by":"crossref","unstructured":"Leite N, Milano GE, Cieslak F, Lopes WA, Rodacki A, et al. Effects of physical exercise and nutritional guidance on metabolic syndrome in obese adolescents. Rev Bras Fisioter 2009;13:73\u201381.","DOI":"10.1590\/S1413-35552009005000009"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_005_w2aab3b7c22b1b6b1ab2b2b5Aa","doi-asserted-by":"crossref","unstructured":"Lee S, Kim Y. Effects of exercise alone on insulin sensitivity and glucose tolerance in obese youth. Diabetes Metab J 2013;37:225\u201332.","DOI":"10.4093\/dmj.2013.37.4.225"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_006_w2aab3b7c22b1b6b1ab2b2b6Aa","doi-asserted-by":"crossref","unstructured":"Schnurr TM, Viitasalo A, Eloranta A-M, Damsgaard CT, Mahendran Y, et al. Genetic predisposition to adiposity is associated with increased objectively assessed sedentary time in young children. Int J Obes (Lond) 2018;42:111\u20134.","DOI":"10.1038\/ijo.2017.235"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_007_w2aab3b7c22b1b6b1ab2b2b7Aa","doi-asserted-by":"crossref","unstructured":"Lissau I, Overpeck MD, Ruan WJ, Due P, Holstein BE, et al. Body mass index and overweight in adolescents in 13 European countries, Israel, and the United States. Arch Pediatr Adolesc Med 2004;158:27\u201333.","DOI":"10.1001\/archpedi.158.1.27"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_008_w2aab3b7c22b1b6b1ab2b2b8Aa","doi-asserted-by":"crossref","unstructured":"Zhao H, Wilkinson A, Shen J, Wu X, Chow WH. Genetic polymorphisms in genes related to risk-taking behaviours predicting body mass index trajectory among Mexican American adolescents. Pediatr Obes 2017;12:356\u201362.","DOI":"10.1111\/ijpo.12151"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_009_w2aab3b7c22b1b6b1ab2b2b9Aa","doi-asserted-by":"crossref","unstructured":"Komulainen K, Pulkki-R\u00e4back L, Jokela M, Lyytik\u00e4inen L-P, Pitk\u00e4nen N, et al. Education as a moderator of genetic risk for higher body mass index: prospective cohort study from childhood to adulthood. Int J Obes (Lond) 2018;42:866\u201371.","DOI":"10.1038\/ijo.2017.174"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_010_w2aab3b7c22b1b6b1ab2b2c10Aa","doi-asserted-by":"crossref","unstructured":"Sakane N, Sato J, Tsushita K, Tsujii S, Kotani K, et al. Effects of lifestyle intervention on weight and metabolic parameters in patients with impaired glucose tolerance related to beta-3 adrenergic receptor gene polymorphism Trp64Arg(C\/T): results from the Japan Diabetes Prevention Program. J Diabetes Investig 2015;7:338\u201342.","DOI":"10.1111\/jdi.12426"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_011_w2aab3b7c22b1b6b1ab2b2c11Aa","doi-asserted-by":"crossref","unstructured":"Cl\u00e9ment K, Vaisse C, Manning BS, Basdevant A, Guy-Grand A, et al. Genetic variation in the b3-adrenergic receptor and an increased capacity to gain weight in patients with morbid obesity. N Engl J Med 1995;4:333\u201352.","DOI":"10.1056\/NEJM199508103330605"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_012_w2aab3b7c22b1b6b1ab2b2c12Aa","doi-asserted-by":"crossref","unstructured":"H\u00f8jlund O, Christiansen C, Bj\u00f8rnsbo KS, Poulsen P, Bathum L, et al. Energy expenditure, body composition and insulin response to glucose in male twins discordant for the Trp64Arg polymorphism of the b3-adrenergic receptor gene. Diabetes Obes Metab 2006;8:322\u201330.","DOI":"10.1111\/j.1463-1326.2005.00509.x"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_013_w2aab3b7c22b1b6b1ab2b2c13Aa","unstructured":"Zhu L, Hu L, Li X, Wang G, Shan W, et al. Relationship between Trp64Arg mutation in the \u03b23-adrenergic receptor gene and metabolic syndrome: a seven-year follow-up study. Chin Med J 2010;123:2375\u20138."},{"key":"2026020622150183570_j_jpem-2018-0066_ref_014_w2aab3b7c22b1b6b1ab2b2c14Aa","doi-asserted-by":"crossref","unstructured":"Erhardt E, Czako M, Csernus K, Moln\u00e1r D, Kosztol\u00e1nyi G. The frequency of Trp64Arg polymorphism of the b3-adrenergic receptor gene in healthy and obese Hungarian children and its association with cardiovascular risk factors. Eur J Clin Nutr 2005;59:955\u20139.","DOI":"10.1038\/sj.ejcn.1602164"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_015_w2aab3b7c22b1b6b1ab2b2c15Aa","doi-asserted-by":"crossref","unstructured":"Oguri K, Tachi T, Matsuoka T. Visceral fat accumulation and metabolic syndrome in children: the impact of Trp64Arg polymorphism of the beta3-adrenergic receptor gene. Acta Paediatr 2013;102:1\u20137.","DOI":"10.1111\/apa.12149"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_016_w2aab3b7c22b1b6b1ab2b2c16Aa","doi-asserted-by":"crossref","unstructured":"Luis DA, Gonzalez MS, Aller R, Izaola O, Conde R. Influence of the Trp64Arg polymorphism in the beta 3 adrenoreceptor gene on insulin resistance, adipocytokine response, and weight loss secondary to lifestyle modification in obese patients. Eur J Case Rep Intern Med 2007;18:587\u201392.","DOI":"10.1016\/j.ejim.2007.04.019"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_017_w2aab3b7c22b1b6b1ab2b2c17Aa","doi-asserted-by":"crossref","unstructured":"Xinlil W, Xiaomei T, Meihua P, Song L. Association of a mutation in the B3-adrenergic receptor gene with obesity and response to detary intervention in Chinese children. Acta Paediatr 2001;90:1233\u20137.","DOI":"10.1111\/j.1651-2227.2001.tb01567.x"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_018_w2aab3b7c22b1b6b1ab2b2c18Aa","doi-asserted-by":"crossref","unstructured":"Szendrei B, Gonz\u00e1lez-Lamu\u00f1o D, Amigo T, Wang G, Pitsiladis Y, et al. Influence of ADRB2 Gln27Glu and ADRB3 Trp64Arg polymorphisms on body weight and body composition changes after a controlled weight-loss intervention. Appl Physiol Nutr Metab 2016;41:307\u201314.","DOI":"10.1139\/apnm-2015-0425"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_019_w2aab3b7c22b1b6b1ab2b2c19Aa","unstructured":"Organiza\u00e7\u00e3o Mundial da Sa\u00fade (OMS). Growth reference data for 5\u201319 years. WHO; 2007. Available from: www.who.int\/growthref\/who2007 bmi for age\/en\/index.html [accessed 03.10.17]."},{"key":"2026020622150183570_j_jpem-2018-0066_ref_020_w2aab3b7c22b1b6b1ab2b2c20Aa","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez JR, Redden DT, Petrobelli A, Allison DB. Waist circumference percentiles in nationally representative samples of African-American, European-American, and Mexican-American, children and adolescents. J Pediatr 2004;145:439\u201344.","DOI":"10.1016\/j.jpeds.2004.06.044"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_021_w2aab3b7c22b1b6b1ab2b2c21Aa","doi-asserted-by":"crossref","unstructured":"Houtkooper LB, Going SB, Lohman TG, Roche AF, Van Loan M. Bioelectrical impedance estimation of fat-free body mass in children and youth: a cross-validation study. J Appl Physiol 1992;72:366\u201373.","DOI":"10.1152\/jappl.1992.72.1.366"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_022_w2aab3b7c22b1b6b1ab2b2c22Aa","doi-asserted-by":"crossref","unstructured":"Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, et al. Homeostasis model assessment: insulin resistance and \u03b2-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28:412\u20139.","DOI":"10.1007\/BF00280883"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_023_w2aab3b7c22b1b6b1ab2b2c23Aa","doi-asserted-by":"crossref","unstructured":"Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, et al. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 2000;85:2402\u201310.","DOI":"10.1210\/jcem.85.7.6661"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_024_w2aab3b7c22b1b6b1ab2b2c24Aa","doi-asserted-by":"crossref","unstructured":"Lahiri DK, Nurnberger Jr JI. A rapid nonenzymatic method for the preparation of HMW DNA from blood for RFLP studies. Nucleic Acids Res 1991;19:5444.","DOI":"10.1093\/nar\/19.19.5444"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_025_w2aab3b7c22b1b6b1ab2b2c25Aa","doi-asserted-by":"crossref","unstructured":"Rowland TW, Varzeus MR, Walsh CA. Aerobic responses to walking training in sedentary adolescents. J Adolesc Health Care 1991;12:30\u20134.","DOI":"10.1016\/0197-0070(91)90037-M"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_026_w2aab3b7c22b1b6b1ab2b2c26Aa","unstructured":"Food and Agriculture Organization of the United Nations \u2013 FAO \u2013 World Health Organization \u2013 WHO. Energy and protein requirements. Report of a joint FAO\/WHO\/UNU Expert Consultation. Technical Report Series 724. Geneva, Switzerland: WHO, 1985."},{"key":"2026020622150183570_j_jpem-2018-0066_ref_027_w2aab3b7c22b1b6b1ab2b2c27Aa","doi-asserted-by":"crossref","unstructured":"Tanner JM. Normal growth and techniques of growth assessment. Clin Endocrinol Metab 1986;15:411\u201345.","DOI":"10.1016\/S0300-595X(86)80005-6"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_028_w2aab3b7c22b1b6b1ab2b2c28Aa","unstructured":"Cohen J. Statistical power analysis for the behavioural sciences, 2nd ed. New Jersey: Lawrence Erlbaum, 1998."},{"key":"2026020622150183570_j_jpem-2018-0066_ref_029_w2aab3b7c22b1b6b1ab2b2c29Aa","doi-asserted-by":"crossref","unstructured":"Mehta NK, Chang VW. Weight status and restaurant availability a multilevel analysis. Am J Prev Med 2008;34:127\u201333.","DOI":"10.1016\/j.amepre.2007.09.031"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_030_w2aab3b7c22b1b6b1ab2b2c30Aa","doi-asserted-by":"crossref","unstructured":"Wilfley DE, Tibbs TL, Van Buren DJ, Reach KP, Walker MS, et al. Lifestyle interventions in the treatment of childhood overweight: a meta-analytic review of randomized controlled trials. Health Psychol 2007;26:521\u201332.","DOI":"10.1037\/0278-6133.26.5.521"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_031_w2aab3b7c22b1b6b1ab2b2c31Aa","doi-asserted-by":"crossref","unstructured":"Leite N, Silva LR, Jesus IC, Lopes WA, Cavaglieri CR, et al. ADRB2 Gln27Glu polymorphism influenced changes in leptin but not body composition or metabolic and other inflammatory parameters after twelve weeks of combined training in overweight adolescents. Motriz (Online) 2018;23. http:\/\/dx.doi.org\/10.1590\/s1980-6574201700si0017.","DOI":"10.1590\/s1980-6574201700si0017"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_032_w2aab3b7c22b1b6b1ab2b2c32Aa","doi-asserted-by":"crossref","unstructured":"Kurokawa N, Nakai K, Kameo S, Liu ZM, Satoh H. Association of BMI with the \u03b23-adrenergic receptor gene polymorphism in Japanese: meta-analysis. Obes Res 2001;9:741\u20135.","DOI":"10.1038\/oby.2001.102"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_033_w2aab3b7c22b1b6b1ab2b2c33Aa","doi-asserted-by":"crossref","unstructured":"Arashiro R, Katsuren K, Fukuyama S, Ohta T. Effect of Trp64Arg mutation of the beta3-adrenergic receptor gene and C161T substitution of the peroxisome proliferator activated receptor gamma gene on obesity in Japanese children. Pediatr Int 2003;45:135\u201341.","DOI":"10.1046\/j.1442-200X.2003.01685.x"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_034_w2aab3b7c22b1b6b1ab2b2c34Aa","unstructured":"Jesus IC, Furtado-Alle L, Munhoz EC, Silva LR, Leite N, et al. Polimorfismo Trp64Arg do Gene ADRB3 associado \u00e0 oxida\u00e7\u00e3o m\u00e1xima de gorduras e \u00e0 concentra\u00e7\u00e3o de LDL-c em adolescentes n\u00e3o obesos. J Pediatr 2018;571:1\u20137."},{"key":"2026020622150183570_j_jpem-2018-0066_ref_035_w2aab3b7c22b1b6b1ab2b2c35Aa","doi-asserted-by":"crossref","unstructured":"Chou YC, Tsai CN, Lee YS, Jen-Sheng P. Association of adrenergic receptor gene polymorphisms with adolescent obesity in Taiwan. Pediatr Int 2012;54:111\u20136.","DOI":"10.1111\/j.1442-200X.2011.03516.x"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_036_w2aab3b7c22b1b6b1ab2b2c36Aa","doi-asserted-by":"crossref","unstructured":"Shiwaku K, Nogi A, Anuurad E, Kitajima K, Enkhmaa B, et al. Difficulty in losing weight by behavioral intervention for women with Trp64Arg polymorphism of the b3-adrenergic receptor gene. Int J Obes 2003;27:1028\u201336.","DOI":"10.1038\/sj.ijo.0802375"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_037_w2aab3b7c22b1b6b1ab2b2c37Aa","doi-asserted-by":"crossref","unstructured":"Tahara A, Osaki Y, Kishimoto T. Influence of beta 3-adrenergic receptor Trp64Arg polymorphism on the improvement of metabolic syndrome by exercise-based intervention in Japanese middle-aged males. Obes Res Clin Pract 2011;5:109\u201317.","DOI":"10.1016\/j.orcp.2010.12.005"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_038_w2aab3b7c22b1b6b1ab2b2c38Aa","doi-asserted-by":"crossref","unstructured":"Garenc C, P\u00e9russe L, Rankinen T, Gagnon J, Leon AS, et al. The Trp64Arg polymorphism of the b3-adrenergic receptor gene is not associated with training-induced changes in body composition: the HERITAGE family study. Obes Res 2001;9:337\u201341.","DOI":"10.1038\/oby.2001.43"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_039_w2aab3b7c22b1b6b1ab2b2c39Aa","doi-asserted-by":"crossref","unstructured":"Bea WJ, Lohman TG, Cussler EC, Going SB, Thompson PA. Lifestyle modifies the relationship between body composition and adrenergic receptor genetic polymorphisms, ADRB2, ADRB3 and ADRA2B: a secondary analysis of a randomized controlled trial of physical activity among postmenopausal women. Behav Genet 2010;40:649\u201359.","DOI":"10.1007\/s10519-010-9361-1"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_040_w2aab3b7c22b1b6b1ab2b2c40Aa","doi-asserted-by":"crossref","unstructured":"Buettner R, Schaffler A, Arndt H, Rogler G, Nusser J, et al. The Trp64Arg polymorphism of the b3-adrenergic receptor gene is not associated with obesity or type 2 diabetes mellitus in a large population-based Caucasian cohort. J Clin Endocrinol Metab 1998;83:2892\u20137.","DOI":"10.1210\/jcem.83.8.5004"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_041_w2aab3b7c22b1b6b1ab2b2c41Aa","doi-asserted-by":"crossref","unstructured":"Deram S, Villares SM. Genetic variants influencing effectiveness of weight loss strategies. Arq Bras Endocrinol Metab 2009;53:2.","DOI":"10.1590\/S0004-27302009000200003"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_042_w2aab3b7c22b1b6b1ab2b2c42Aa","doi-asserted-by":"crossref","unstructured":"Arbeeny CM, Meyers DS, Hillyer DE, Bergquist KE. Metabolic alterations associated with the antidiabetic effect of beta 3-adrenergic receptor agonists in obese mice. Am J Physiol Endocrinol Metab 1995;268:E678\u201384.","DOI":"10.1152\/ajpendo.1995.268.4.E678"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_043_w2aab3b7c22b1b6b1ab2b2c43Aa","doi-asserted-by":"crossref","unstructured":"Geloneze B, Tambascia MA. Avalia\u00e7\u00e3o Laboratorial e Diagn\u00f3stico da Resist\u00eancia Insul\u00ednica. Arq Bras Endocrinol Metab 2006;50:208\u201315.","DOI":"10.1590\/S0004-27302006000200007"},{"key":"2026020622150183570_j_jpem-2018-0066_ref_044_w2aab3b7c22b1b6b1ab2b2c44Aa","doi-asserted-by":"crossref","unstructured":"Ara\u00fajo J, Severo M, Barros H, Ramos E. Duration and degree of adiposity: effect on cardiovascular risk factors at early adulthood. Int J Obes 2017;41:1526\u201330.","DOI":"10.1038\/ijo.2017.133"}],"container-title":["Journal of Pediatric Endocrinology and Metabolism"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/jpem.2018.31.issue-9\/jpem-2018-0066\/jpem-2018-0066.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpem-2018-0066\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpem-2018-0066\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T22:15:10Z","timestamp":1770416110000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/jpem-2018-0066\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,1]]},"references-count":44,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9,8]]},"published-print":{"date-parts":[[2018,9,25]]}},"alternative-id":["10.1515\/jpem-2018-0066"],"URL":"https:\/\/doi.org\/10.1515\/jpem-2018-0066","relation":{},"ISSN":["2191-0251","0334-018X"],"issn-type":[{"value":"2191-0251","type":"electronic"},{"value":"0334-018X","type":"print"}],"subject":[],"published":{"date-parts":[[2018,9,1]]}}}