UA cloudflare authentication

 

Critical Analysis of the Reliability and Prediction Error of a Novel Smartphone Application for Measuring Body Composition

Simple item page
dc.contributorWinchester, Lee
dc.contributorRichardson, Mark
dc.contributorParton, Jason
dc.contributor.advisorEsco, Michael
dc.contributor.advisorFedewa, Michael
dc.contributor.authorMetoyer, Casey
dc.date.accessioned2024-01-25T21:21:14Z
dc.date.available2024-01-25T21:21:14Z
dc.date.issued2023
dc.descriptionElectronic Thesis or Dissertationen_US
dc.description.abstractA smartphone application was recently developed that measures body composition from a 2-dimensional image of a standing person (%FatIMAGE). Three experiments were performed to 1) determine the reliability of %FatIMAGE in two different body positions and days, 2) determine the reliability of %FatIMAGE across different cameras, room lighting levels, and colored backgrounds, and 3) assess the potential sources of error related to %Fat estimation with bioimpedance, skinfold, and IMAGE. In the first study, %FatIMAGE was measured in the anterior (ANTDay1) and posterior (POSTDay1) positions, then again within 48 hours of the first visit (POSTDay2). The ANTDay1 was significantly lower compared to the reference, whereas the POSTDay2 was not. In the second study, %FatIMAGE was estimated in different megapixel cameras (12MP, 8MP, 5MP, and 0.7MP), different room lighting conditions (i.e., low=LL, medium=ML, ambient=AL, and bright light=BL), and different colored backgrounds (White=WB, Black=BB, Green=GnB, Orange=OB, and Gray=GyB). Conditions were compared to a reference (8MP, AL, and WB). The 0.7MP was significantly higher than the reference, whereas the 12MP and 5MP were not. The LL was significantly higher than the reference, whereas the BL and ML were not. The BB, GnB, and GyB were significantly higher than the WB, whereas the OB was not. In a third study, %Fat was measured via bioimpedance, skinfold, %FatIMAGE, and a criterion 4-compartment model. The constant error (CE) was calculated (%Fat condition - criterion) for each method (SKFERROR, BIAERROR., and IMAGEERROR). The CE was correlated with markers of physical activity (PA) and muscular fitness (MF): the International physical activity questionnaire (IPAQT, IPAQV, IPAQM); Perceived functional ability questionnaire (1mileSUB and 3mileSUB); Physical Activity Rating questionnaire (PA-R): handgrip test (HG); and push-up test (PU). SKFERROR displayed a small correlation with PU, while IPAQV, 1mileSUB, 3mileSUB, PA-R, and PU were associated with IMAGEERROR. Regression analyses indicated that only PU contributed to the model for SKFERROR and IMAGEERROR. In conclusion, the IMAGE produced acceptable reliability across different camera, lighting, and background conditions but attention should be paid to clothing color in contrast with background color. In addition, further evaluation of MF measures is recommended, as higher PU were associated with greater IMAGEERROR.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.otherhttp://purl.lib.ua.edu/188370
dc.identifier.otheru0015_0000001_0004889
dc.identifier.otherMetoyer_alatus_0004D_15275
dc.identifier.urihttps://ir.ua.edu/handle/123456789/13091
dc.languageEnglish
dc.language.isoen_US
dc.publisherUniversity of Alabama Libraries
dc.relation.hasversionborn digital
dc.relation.ispartofThe University of Alabama Electronic Theses and Dissertations
dc.relation.ispartofThe University of Alabama Libraries Digital Collections
dc.rightsAll rights reserved by the author unless otherwise indicated.en_US
dc.subjectBody composition
dc.subjectImage
dc.subjectPrediction Error
dc.subjectRelaibility
dc.subjectsmartphone application
dc.subjectTechnology
dc.titleCritical Analysis of the Reliability and Prediction Error of a Novel Smartphone Application for Measuring Body Compositionen_us
dc.typethesis
dc.typetext
etdms.degree.departmentUniversity of Alabama. Department of Kinesiology
etdms.degree.disciplineKinesiology
etdms.degree.grantorThe University of Alabama
etdms.degree.leveldoctoral
etdms.degree.namePh.D.

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
u0015_0000001_0004889.pdf
Size:
2.22 MB
Format:
Adobe Portable Document Format
Download

Collections

Theses and Dissertations