{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:52:47Z","timestamp":1787014367060,"version":"build-2736575974"},"reference-count":30,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T00:00:00Z","timestamp":1707177600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pediatric Obesity"],"published-print":{"date-parts":[[2024,5]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Mid\u2010upper arm circumference (MUAC) was recommended for screening of adolescents with obesity, although its diagnostic performance with respect to high\u2010precision assessment of body composition remains unknown.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To evaluate the diagnostic performance of MUAC in identifying obesity and metabolic syndrome in U.S. adolescents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross\u2010sectional study was conducted using National Health and Nutrition Examination Survey (NHANES) data (2011\u20132018) of adolescents aged 12\u201319. We calculated the area under the receiver operating characteristic curve, sensitivity, specificity, positive and negative predictive values and likelihood ratios of MUAC in identifying obesity and metabolic syndrome.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In our study, data of 5496 adolescents, including 2665 females, were analysed. The prevalence of obesity was higher in boys (14%) than girls (10%), whilst metabolic syndrome was more common in males (2.6%) than females (1.7%). The area under the curve (AUC) of MUAC in identifying obesity was 0.69 in boys and 0.86 in girls, whilst the AUC of MUAC in identifying metabolic syndrome was 0.91 in boys and 0.87 in girls. The optimal MUAC cut\u2010off for identifying adolescents with obesity was 28.3\u2009cm in boys (sensitivity: 64.8%, specificity: 85.5%) and 30.8\u2009cm in girls (sensitivity: 67.9%, specificity: 90.1%).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>MUAC was a good indicator of both obesity and metabolic syndrome, with higher accuracy in girls.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ijpo.13107","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T03:38:57Z","timestamp":1707277137000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Performance of mid\u2010upper arm circumference to identify adolescents with obesity and metabolic syndrome:\n                    <scp>NHANES<\/scp>\n                    2011\u20132018 analysis"],"prefix":"10.1111","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1603-5908","authenticated-orcid":false,"given":"Beshada Rago","family":"Jima","sequence":"first","affiliation":[{"name":"Department of Nutrition and Dietetics School of Public Health, Addis Ababa University  Addis Ababa Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9310-8170","authenticated-orcid":false,"given":"Binyam Girma","family":"Sisay","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Dietetics School of Public Health, Addis Ababa University  Addis Ababa Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6522-9664","authenticated-orcid":false,"given":"Ilili","family":"Feyesa","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Dietetics School of Public Health, Addis Ababa University  Addis Ababa Ethiopia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6485-4193","authenticated-orcid":false,"given":"Hamid Yimam","family":"Hassen","sequence":"additional","affiliation":[{"name":"Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences University of Antwerp  Antwerp Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,2,6]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"World Health Organization (WHO). Obesity and Overweight. WHO. 2016. 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