Matches in SemOpenAlex for { <https://semopenalex.org/work/W4294798339> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4294798339 endingPage "427" @default.
- W4294798339 startingPage "427" @default.
- W4294798339 abstract "Although visceral fat (VF) can be quantified via computed tomography or dual-energy X-ray absorptiometry (DXA), their application for frequent VF assessment is limited because both methods are radiating in nature. Research suggests that ultrasound imaging can be used to predict VF safely without the risk of radiation exposure. However, the complexity and/or lack of replicability limits such application. PURPOSE: To develop an easy-to-replicate ultrasound protocol and a regression model that can accurately estimate VF area (VFA, cm2). METHODS: Thirty healthy adults (9 males and 21 females, age: 23.2 ± 7.4 yr, body mass index: 22.3 ± 3.2 kg/m2, body fat percentage: 22.3 ± 5.9 %) fasted for 8 hours or more before a DXA scan and ultrasound imaging were performed to estimate VFA. Ultrasound imaging (with a 3.5-MHz convex-array probe) was used to measure the thickness of 15 different sites within the abdominal cavity. Thickness was defined as the distance in cm from the internal abdominal wall to the anterior aortic wall. Stepwise linear regression was utilized to develop a regression model for VFA using the estimated VFA by DXA as a dependent variable, followed by a Bland-Altman plot and Pearson correlation to compare the technique reliability. RESULTS: The developed regression model (F(4, 25) = 46.869, p = 0.001) was (37.677 + (1.456*Age) - (26.963*Sex) - (11.336*VFT2) + (13.554*VFT4)), where age = years, sex: 1 = male or 2 = female, and VFT2/4 = ultrasound probe placement 2 cm to the left (VFT2) and right (VFT4) of the superior umbilical border, respectively. The regression model had high accuracy (adjusted R2 = 0.864) and test reliability (r = 0.927, p = 0.001) at estimating VFA (31.4 ± 21.4 cm2) when compared to the VFA (31.1 ± 21.1 cm2) estimated by DXA. CONCLUSION: Visceral fat area can be accurately estimated using an easy-to-replicate ultrasound protocol and regression model that eliminates the exposure to radiation caused by other body scanning methods." @default.
- W4294798339 created "2022-09-06" @default.
- W4294798339 creator A5041858322 @default.
- W4294798339 creator A5064696162 @default.
- W4294798339 creator A5068467599 @default.
- W4294798339 date "2022-09-01" @default.
- W4294798339 modified "2023-09-27" @default.
- W4294798339 title "An Ultrasound-based Protocol And Regression Model To Estimate Visceral Fat In Healthy Adults" @default.
- W4294798339 doi "https://doi.org/10.1249/01.mss.0000880444.02919.79" @default.
- W4294798339 hasPublicationYear "2022" @default.
- W4294798339 type Work @default.
- W4294798339 citedByCount "0" @default.
- W4294798339 crossrefType "journal-article" @default.
- W4294798339 hasAuthorship W4294798339A5041858322 @default.
- W4294798339 hasAuthorship W4294798339A5064696162 @default.
- W4294798339 hasAuthorship W4294798339A5068467599 @default.
- W4294798339 hasBestOaLocation W42947983391 @default.
- W4294798339 hasConcept C105795698 @default.
- W4294798339 hasConcept C126322002 @default.
- W4294798339 hasConcept C126838900 @default.
- W4294798339 hasConcept C143753070 @default.
- W4294798339 hasConcept C152877465 @default.
- W4294798339 hasConcept C170964787 @default.
- W4294798339 hasConcept C2776541429 @default.
- W4294798339 hasConcept C2776886416 @default.
- W4294798339 hasConcept C2780221984 @default.
- W4294798339 hasConcept C2781440623 @default.
- W4294798339 hasConcept C2986892559 @default.
- W4294798339 hasConcept C2989005 @default.
- W4294798339 hasConcept C33923547 @default.
- W4294798339 hasConcept C48921125 @default.
- W4294798339 hasConcept C71924100 @default.
- W4294798339 hasConcept C83546350 @default.
- W4294798339 hasConceptScore W4294798339C105795698 @default.
- W4294798339 hasConceptScore W4294798339C126322002 @default.
- W4294798339 hasConceptScore W4294798339C126838900 @default.
- W4294798339 hasConceptScore W4294798339C143753070 @default.
- W4294798339 hasConceptScore W4294798339C152877465 @default.
- W4294798339 hasConceptScore W4294798339C170964787 @default.
- W4294798339 hasConceptScore W4294798339C2776541429 @default.
- W4294798339 hasConceptScore W4294798339C2776886416 @default.
- W4294798339 hasConceptScore W4294798339C2780221984 @default.
- W4294798339 hasConceptScore W4294798339C2781440623 @default.
- W4294798339 hasConceptScore W4294798339C2986892559 @default.
- W4294798339 hasConceptScore W4294798339C2989005 @default.
- W4294798339 hasConceptScore W4294798339C33923547 @default.
- W4294798339 hasConceptScore W4294798339C48921125 @default.
- W4294798339 hasConceptScore W4294798339C71924100 @default.
- W4294798339 hasConceptScore W4294798339C83546350 @default.
- W4294798339 hasIssue "9S" @default.
- W4294798339 hasLocation W42947983391 @default.
- W4294798339 hasLocation W42947983392 @default.
- W4294798339 hasOpenAccess W4294798339 @default.
- W4294798339 hasPrimaryLocation W42947983391 @default.
- W4294798339 hasRelatedWork W1780229144 @default.
- W4294798339 hasRelatedWork W2364456402 @default.
- W4294798339 hasRelatedWork W2376722886 @default.
- W4294798339 hasRelatedWork W2378860096 @default.
- W4294798339 hasRelatedWork W3107558982 @default.
- W4294798339 hasRelatedWork W3215700490 @default.
- W4294798339 hasRelatedWork W4285406654 @default.
- W4294798339 hasRelatedWork W4294798339 @default.
- W4294798339 hasRelatedWork W4320301389 @default.
- W4294798339 hasRelatedWork W4362661762 @default.
- W4294798339 hasVolume "54" @default.
- W4294798339 isParatext "false" @default.
- W4294798339 isRetracted "false" @default.
- W4294798339 workType "article" @default.