{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T14:26:15Z","timestamp":1786976775830,"version":"build-2736575974"},"reference-count":39,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J Hum Biol"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Little is known about the cardiorespiratory fitness (CRF)\u2010cardiometabolic risk relationship in Latin American pediatric populations across different age\/sex groups, especially when considering the potential effects of adiposity on the association. We evaluated cross\u2010sectional associations between VO\n                      <jats:sub>2max<\/jats:sub>\n                      and cardiometabolic risk variables (CMRV), and verified whether the associations were independent of adiposity markers in school\u2010aged children and adolescents from Cali, Colombia.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      The sample consisted of 1206 children aged 5\u201317\u2009years. CMRV were fasting glucose, HDL and LDL cholesterol, triglycerides, systolic, and diastolic pressure. Logistic regressions were conducted for associations of age\/sex\u2010specific tertiles of VO\n                      <jats:sub>2max<\/jats:sub>\n                      with age\/sex\u2010specific highest tertiles of CMRV (except HDL\u2010C, lowest tertile) and a CMR cluster (&gt;\u20092 CMRV in extreme tertiles), adjusting for socioeconomic stratum, and adiposity markers (BMI, body fat percentage, and waist circumference).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Overweight\/obesity ranged from 15% to 18% with no difference by sex. In children aged 5\u201311\u2009years, high VO\n                      <jats:sub>2max<\/jats:sub>\n                      (highest tertile vs. lowest) was inversely associated with the CMR cluster [Odds ratio (95% confidence interval): 0.18 (0.06\u20130.47),\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05] independently of adjustment for any adiposity marker in boys but not in girls. In the age group of 12\u201317\u2009years, there were initially significant VO\n                      <jats:sub>2max<\/jats:sub>\n                      \u2010 CMR cluster and VO\n                      <jats:sub>2max<\/jats:sub>\n                      \u2010 CMRV associations but attenuated by adiposity adjustment. In girls, high VO\n                      <jats:sub>2max<\/jats:sub>\n                      was inversely associated with high systolic blood pressure regardless of adjustment for adiposity markers.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      VO\n                      <jats:sub>2max<\/jats:sub>\n                      is inversely associated with cardiometabolic risk, but adiposity influences the association. The adiposity\u2010independent association among younger boys requires further research. Interventions to tackle cardiometabolic risk in childhood may primarily focus on reducing excess adiposity, and secondarily on improvement of CRF.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ajhb.24163","type":"journal-article","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T08:49:18Z","timestamp":1727772558000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Cardiorespiratory Fitness and Cardiometabolic Risk Factors in Children and Adolescents From Southwest Colombia: Association Patterns Considering Adiposity"],"prefix":"10.1002","volume":"36","author":[{"given":"Ricardo Antonio","family":"Agredo\u2010Zu\u00f1iga","sequence":"first","affiliation":[{"name":"Research Group Into Human Movement and Health. Research Coordination, Faculty of Health Sciences Universidad de San Buenaventura Cartagena  Cartagena Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana C.","family":"Parra","sequence":"additional","affiliation":[{"name":"Prevention Research Center Brown School at Washington University in St. Louis  St. Louis Missouri USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9 Guillermo","family":"Ortega\u2010\u00c1vila","sequence":"additional","affiliation":[{"name":"Department of Basic Sciences, Faculty of Heatlh Sciences Pontificia Universidad Javeriana Seccional Cali  Cali Colombia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0513-5196","authenticated-orcid":false,"given":"Milton Fabian","family":"Suarez\u2010Ortegon","sequence":"additional","affiliation":[{"name":"Department of Food and Nutrition, Faculty of Health Sciences Pontificia Universidad Javeriana Seccional Cali  Cali 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