دورية أكاديمية

DXA-derived abdominal fat free mass to predict MRI skeletal muscle mass in postmenopausal women.

التفاصيل البيبلوغرافية
العنوان: DXA-derived abdominal fat free mass to predict MRI skeletal muscle mass in postmenopausal women.
المؤلفون: Walker E; University of Arizona, Department of Epidemiology and Biostatistics, Tucson, United States; erikaw@arizona.edu., Chalke AM; University of Arizona, Department of Epidemiology and Biostatistics, Tucson, United States; chalkeam@arizona.edu., Bland VL; University of Arizona, Nutritional Sciences and Wellness, Tucson, Arizona, United States; victoriabland@arizona.edu., Lind KE; University of Arizona, Department of Health Promotion Sciences, Tucson, United States; kim.lind@mq.edu.au., Chen Z; University of Arizona, Department of Epidemiology and Biostatistics, Tucson, United States; zchen@arizona.edu., Blew RM; University of Arizona, Health Promotion Sciences, Tucson, Arizona, United States; rblew@arizona.edu., Odegaard AO; University of California Irvine, Department of Epidemiology and Biostatistics, Irvine, United States; aodegaar@uci.edu., Thomson CA; University of Arizona, Department of Health Promotion Sciences, Tucson, Arizona, United States; cthomson@arizona.edu., Caan B; Kaiser Permanente Division of Research, Oakland, California, United States; bette.caan@kp.org., Nicholas JS; University of Arizona, Tucson, Arizona, United States; jola@email.arizona.edu., Valencia CI; University of Arizona, Deptartment of Family and Community Medicine, Tucson, Arizona, United States; celina@arizona.edu., Roe DJ; University of Arizona, Department of Epidemiology and Biostatistics, Tucson, Arizona, United States; droe@arizona.edu., Allison M; University of California San Diego, Family Medicine and Public Health, La Jolla, California, United States; mallison@health.ucsd.edu., Schnatz PF; Drexel University College of Medicine, Department of Obstetrics and Gynecology, Philadelphia, Pennsylvania, United States; Peter.Schnatz@towerhealth.org., Wactawski-Wende J; University at Buffalo, School of Public Health and Heath Professions, Buffalo, New York, United States; jww@buffalo.edu., Bea JWW; University of Arizona, Department of Health Promotion Sciences, Tucson, Arizona, United States; JBea@uacc.arizona.edu.
المصدر: Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme [Appl Physiol Nutr Metab] 2024 Jul 30. Date of Electronic Publication: 2024 Jul 30.
Publication Model: Ahead of Print
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Canadian Science Publishing Country of Publication: Canada NLM ID: 101264333 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1715-5320 (Electronic) Linking ISSN: 17155312 NLM ISO Abbreviation: Appl Physiol Nutr Metab Subsets: MEDLINE
أسماء مطبوعة: Publication: 2011- : Ottawa, ON : Canadian Science Publishing
Original Publication: Ottawa, ON : National Research Council of Canada, c2006-
مستخلص: Dual-energy X-ray absorptiometry (DXA) is more available than gold-standard magnetic resonance imaging (MRI), but DXA ability to estimate abdominal skeletal muscle mass (SMM) is unknown. DXA-derived abdominal fat-free mass (FFM; Hologic QDR2000 or QDR4500w) was correlated with single-slice MRI SMM at L4 (N = 69; r QDR2000=0.71, QDR4500w=0.69; p<.0001). Linear regression to predict SMM, including DXA FFM, BMI, and age, resulted in an R-squared of 0.72 and 0.65 for QDR2000 and QDR4500. Bland-Altman limits of agreement were ±21g and ±31g for 2-3 standard deviations from the mean difference. DXA predicted abdominal SSM is a moderate proxy for MRI abdominal SMM.
تواريخ الأحداث: Date Created: 20240730 Latest Revision: 20240730
رمز التحديث: 20240731
DOI: 10.1139/apnm-2024-0046
PMID: 39079168
قاعدة البيانات: MEDLINE