{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T17:56:52Z","timestamp":1791395812129,"version":"4.3.3"},"reference-count":79,"publisher":"Human Kinetics","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,1]]},"abstract":"<jats:p>\n                    <jats:italic>\n                      <jats:bold>Purpose<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    To explore the multivariate pattern associations between physical fitness and adiposity with cardiometabolic risk among children and adolescents.\n                    <jats:italic>\n                      <jats:bold>Method<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Cross-sectional study including 6405 participants (6\u201318\u00a0y; 3567 females). Waist circumference, sum of 3 skinfolds, and physical fitness measures (abdominal endurance, agility, cardiorespiratory fitness, flexibility, speed, and lower\/upper limb power) were assessed. A continuous risk score (cMetS) was calculated as the mean of the\n                    <jats:italic>z<\/jats:italic>\n                    -scores for glucose, systolic blood pressure, total cholesterol and high-density lipoprotein cholesterol ratio, and triglycerides. Three models were tested using multivariate patterns analysis, of which the following explanatory variables were included: (1)\u00a0both physical fitness and adiposity measures, (2)\u00a0only physical fitness, and (3)\u00a0physical fitness adjusted for adiposity measures. In the latter model, cMetS was also adjusted for adiposity.\n                    <jats:italic>\n                      <jats:bold>Results<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    Inverse associations with cMetS were found for abdominal endurance, agility, cardiorespiratory fitness, lower limb power, and speed among males; and agility and cardiorespiratory fitness among females; without adjustment for adiposity. When cMetS and physical fitness were adjusted for adiposity, agility (only among males) and cardiorespiratory fitness remained associated with cMetS.\n                    <jats:italic>\n                      <jats:bold>Conclusion<\/jats:bold>\n                      :\n                    <\/jats:italic>\n                    The findings highlight the consistent adiposity-independent role of cardiorespiratory fitness as the primary fitness marker associated with cardiometabolic health during childhood and adolescence, alongside evidence linking agility to risk.\n                  <\/jats:p>","DOI":"10.1123\/pes.2025-0033","type":"journal-article","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T17:26:17Z","timestamp":1763745977000},"page":"238-249","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the Multivariate Association Between Physical Fitness and Cardiometabolic Risk in Children and Adolescents"],"prefix":"10.1123","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2231-759X","authenticated-orcid":true,"given":"Jo\u00e3o Francisco de Castro","family":"Silveira","sequence":"first","affiliation":[{"name":"Graduation Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil"},{"name":"Graduation Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9654-2653","authenticated-orcid":true,"given":"Eivind","family":"Aadland","sequence":"additional","affiliation":[{"name":"Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6280-9495","authenticated-orcid":true,"given":"Karin Allor","family":"Pfeiffer","sequence":"additional","affiliation":[{"name":"Department of Kinesiology, Michigan State University (MSU), East Lansing, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4147-5910","authenticated-orcid":true,"given":"Let\u00edcia de","family":"Borba Schneiders","sequence":"additional","affiliation":[{"name":"Graduation Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7778-2616","authenticated-orcid":true,"given":"Rodrigo Antunes","family":"Lima","sequence":"additional","affiliation":[{"name":"Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de D\u00e9u, CIBERSAM, Sant Boi de Llobregat, Barcelona, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9800-029X","authenticated-orcid":true,"given":"Lars Bo","family":"Andersen","sequence":"additional","affiliation":[{"name":"Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Sogndal, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4549-3959","authenticated-orcid":true,"given":"C\u00e9zane Priscila","family":"Reuter","sequence":"additional","affiliation":[{"name":"Graduation Program in Health Promotion, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8335-6947","authenticated-orcid":true,"given":"Anelise Reis","family":"Gaya","sequence":"additional","affiliation":[{"name":"Graduation Program in Human Movement Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"key":"r1","series-title":"ACSM\u2019s Guidelines for Exercise Testing and Prescription","year":"2018","unstructured":"ACSM. 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