{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:52:17Z","timestamp":1760028737624,"version":"3.41.2"},"reference-count":34,"publisher":"FapUNIFESP (SciELO)","issue":"5","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"am","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cad. Sa\u00fade P\u00fablica"],"abstract":"<jats:p>Abstract: We aimed to verify the prevalence of body composition phenotypes and the association of glycemic, lipidic, and inflammatory biomarkers with such phenotypes. This is a cross-sectional, population-based study, with 720 participants aged 20 to 59 years. Body composition was assessed by dual-energy X-ray absorptiometry. Obesity was defined as body fat percentage \u2265 25% in males and \u2265 32% in females and sarcopenia by appendicular muscle mass index &lt; 7.0kg\/m2 in males and &lt; 5.5kg\/m2 in females. Sarcopenic obesity (SO) was defined as the presence of both sarcopenia and obesity. The prevalence of obesity, sarcopenia, and SO were 62.5%, 4.5%, and 6.2%, respectively. The association between biomarkers and phenotypes was verified using multinomial logistic regression models adjusted for confounding factors. The models showed that increased glycemia (OR = 3.39; 95%CI: 1.83-6.27), total cholesterol (TC) (OR = 2.24; 95%CI: 1.35-3.70), LDL-c (OR = 1.01; 95%CI: 1.00-1.02), VLDL-c (OR = 1.04; 95%CI: 1.02-1.06), non-HDL-c (OR = 1.02; 95%CI: 1.01-1.03), triglycerides (Tg) (OR = 3.66; 95%CI: 2.20-6.06), and decreased HDL-c (OR = 0.97; 95%CI: 0.95-0.98) were significantly associated with the obesity phenotype. Increased HOMA-IR (OR = 3.94; 95%CI: 1.69-9.21), LDL-c (OR = 1.01; 95%CI: 1.00-1.02), non-HDL-c (OR = 1.01; 95%CI: 1.00-1.02), and hs-CRP (OR = 2.42; 95%CI: 1.04-5.66) were independently associated with SO phenotype. Our findings indicate that increased glycemia, TC, Tg, LDL-c, VLDL-c, non-HDL-c, and decreased HDL-c may be indicators of the obesity phenotype and that increased hs-CRP, HOMA-IR, LDL-c, and non-HDL-c appear to be indicators of the SO phenotype. Those parameters may be used as additional markers for screening.<\/jats:p>","DOI":"10.1590\/0102-311xen109823","type":"journal-article","created":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T12:48:06Z","timestamp":1718369286000},"source":"Crossref","is-referenced-by-count":2,"title":["Prevalence of body composition phenotypes and their associations with glycemic, lipidic, and inflammatory biomarkers: a population-based study"],"prefix":"10.1590","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8472-3545","authenticated-orcid":false,"given":"Giovanna Mozzaquattro","family":"Nascimento","sequence":"first","affiliation":[{"name":"Universidade Federal de Santa Catarina,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7666-5007","authenticated-orcid":false,"given":"Giana Zarbato","family":"Longo","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1946-090X","authenticated-orcid":false,"given":"Aline","family":"Valmorbida","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9836-4176","authenticated-orcid":false,"given":"Fabr\u00edcia Geralda","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Universidade Federal de Vi\u00e7osa,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1736-4049","authenticated-orcid":false,"given":"Erasmo Benicio Santos de Moraes","family":"Trindade","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina,  Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"530","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","article-title":"Phenotyping obesity a focus on metabolically healthy obesity and metabolically unhealthy normal weight","volume":"40","author":"Agius R","year":"2023","journal-title":"Diabetes Metab Res Rev"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1007\/s13679-019-00359-9","article-title":"Sarcopenic obesity epidemiologic evidence, pathophysiology, and therapeutic perspectives","volume":"8","author":"Koliaki C","year":"2019","journal-title":"Curr Obes Rep"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1152\/japplphysiol.00627.2006","article-title":"Sarcopenic obesity and inflammation in the InCHIANTI study","volume":"102","author":"Schrager MA","year":"2007","journal-title":"J Appl Physiol"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"748","DOI":"10.3346\/jkms.2012.27.7.748","article-title":"Prevalence rate and associated factors of sarcopenic obesity in Korean elderly population.","volume":"27","author":"Hwang B","year":"2012","journal-title":"J Korean Med Sci"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1111\/j.1365-2265.2012.04433.x","article-title":"Relationships between sarcopenic obesity and insulin resistance, inflammation, and vitamin D status: the Korean Sarcopenic Obesity Study","volume":"78","author":"Kim TN","year":"2013","journal-title":"Clin Endocrinol (Oxf)"},{"key":"ref6","first-page":"139","article-title":"Sarcopenia, sarcopenic obesity and inflammation: results from the 1999-2004 National Health and Nutrition Examination Survey","volume":"176","author":"Batsis JA","year":"2016","journal-title":"Physiol Behav"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1093\/ageing\/afy169","article-title":"Sarcopenia: revised European consensus on definition and diagnosis","volume":"48","author":"Cruz-Jentoft AJ","year":"2019","journal-title":"Age Ageing"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"2368","DOI":"10.1016\/j.clnu.2019.11.024","article-title":"Critical appraisal of definitions and diagnostic criteria for sarcopenic obesity based on a systematic review","volume":"39","author":"Donini LM","year":"2019","journal-title":"Clin Nutr"},{"key":"ref9","first-page":"101","article-title":"\u00cdndice de adiposidad corporal y factores asociados en adultos: m\u00e9todo y log\u00edstica de un estudio poblacional","volume":"32","author":"Segheto W","year":"2015","journal-title":"Nutr Hosp"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.0040297","article-title":"Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration","volume":"4","author":"Vandenbroucke JP","year":"2007","journal-title":"PLoS Med"},{"year":"2011","series-title":"Censo Demogr\u00e1fico 2010. 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