{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:39:08Z","timestamp":1761007148928,"version":"build-2065373602"},"reference-count":51,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:00:00Z","timestamp":1718409600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007656","name":"Loyola University Chicago","doi-asserted-by":"publisher","award":["107109"],"award-info":[{"award-number":["107109"]}],"id":[{"id":"10.13039\/100007656","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["aspenjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Nut in Clin Prac"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Body mass index (BMI) is criticized for being unjust and biased in relatively healthy racial and ethnic groups. Therefore, the current analysis examines if BMI predicts body composition, specifically adiposity, in a racially and ethnically diverse acutely ill patient population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Patients admitted with SARS\u2010CoV\u20102 having an evaluable diagnostic chest, abdomen, and\/or pelvic computed tomography (CT) study (within 5 days of admission) were included in this retrospective cohort. Cross\u2010sectional areas (centimeters squared) of the subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and intramuscular adipose tissue (IMAT) were quantified. Total adipose tissue (TAT) was calculated as sum of these areas. Admission height and weight were applied to calculate BMI, and self\u2010reported race and ethnicity were used for classification. General linear regression models were conducted to estimate correlations and assess differences between groups.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>On average, patients (<jats:italic>n<\/jats:italic>\u2009=\u2009134) were aged 58.2 (SD\u2009=\u200919.1) years, 60% male, and racially and ethnically diverse (33% non\u2010Hispanic White [NHW], 33% non\u2010Hispanic Black [NHB], 34% Hispanic). Correlations between BMI and SAT and BMI and TAT were strongest revealing estimates of 0.707 (0.585, 0.829) and 0.633 (0.534, 0.792), respectively. When examining the various adiposity compartments across race and ethnicity, correlations were similar and significant differences were not detected for TAT with SAT, VAT, or IMAT (all <jats:italic>P<\/jats:italic>\u2009\u2265\u20090.05).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>These findings support the routine use of applying BMI as a proxy measure of total adiposity for acutely ill patients identifying as NHW, NHB, and Hispanic. Our results inform the validity and utility of this tool in clinical nutrition practice.<\/jats:p><\/jats:sec>","DOI":"10.1002\/ncp.11164","type":"journal-article","created":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T09:09:45Z","timestamp":1718442585000},"page":"1259-1269","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Validating the use of body mass index with computed tomography in a racially and ethnically diverse cohort of patients admitted with SARS\u2010CoV\u20102"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0032-514X","authenticated-orcid":false,"given":"Patricia","family":"Sheean","sequence":"first","affiliation":[{"name":"Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paula","family":"O'Connor","sequence":"additional","affiliation":[{"name":"Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cara","family":"Joyce","sequence":"additional","affiliation":[{"name":"Loyola University Chicago Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amy","family":"Wozniak","sequence":"additional","affiliation":[{"name":"Loyola University Medical Center Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vasilios","family":"Vasilopoulos A.","sequence":"additional","affiliation":[{"name":"Loyola University Medical Center Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jared","family":"Seigal","sequence":"additional","affiliation":[{"name":"Parkinson School of Health Sciences and Public Health Loyola University Chicago Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Perry","family":"Formanek","sequence":"additional","affiliation":[{"name":"Department of Medicine Loyola University Medical Center Maywood Illinois USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,6,15]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/EDE.0b013e318261c86f"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyu061"},{"key":"e_1_2_8_4_1","unstructured":"Centers for Disease Control and Prevention.Obesity race\/ethnicity and COVID\u201019.2023."},{"key":"e_1_2_8_5_1","first-page":"65","volume-title":"Report 07 of the Council on Science and Public Health (A\u201023)","author":"Association AM","year":"2023"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-30527-w"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/ijo.2015.243"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/03014460.2019.1635645"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/ncp.11024"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1139\/H08-075"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1177\/0148607113500308"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/cc13189"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0216991"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.clnesp.2018.03.122"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1152\/jappl.1998.85.1.115"},{"key":"e_1_2_8_16_1","first-page":"53","article-title":"Adipose tissue volume determinations in women by computed tomography: technical considerations","volume":"10","author":"Kvist H","year":"1986","journal-title":"Int J Obes"},{"key":"e_1_2_8_17_1","unstructured":"Centers for Diseases and Prevention.Healthy Weight Nutrition and Physical Activity How is BMI Interpreted for Adults? 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