Search Results - "Kelly, Nisa"

Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity by Wong, Michael C., Bennett, Jonathan P., Quon, Brandon, Leong, Lambert T., Tian, Isaac Y., Liu, Yong E., Kelly, Nisa N., McCarthy, Cassidy, Chow, Dominic, Pujades, Sergi, Garber, Andrea K., Maskarinec, Gertraud, Heymsfield, Steven B., Shepherd, John A.

“…The obesity epidemic brought a need for accessible methods to monitor body composition, as excess adiposity has been associated with cardiovascular disease,…”
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Next-generation smart watches to estimate whole-body composition using bioimpedance analysis: accuracy and precision in a diverse, multiethnic sample by Bennett, Jonathan P, Liu, Yong En, Kelly, Nisa N, Quon, Brandon K, Wong, Michael C, McCarthy, Cassidy, Heymsfield, Steven B, Shepherd, John A

“…Novel advancements in wearable technologies include continuous measurement of body composition via smart watches. The accuracy and stability of these devices…”
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A pose‐independent method for accurate and precise body composition from 3D optical scans by Wong, Michael C., Ng, Bennett K., Tian, Isaac, Sobhiyeh, Sima, Pagano, Ian, Dechenaud, Marcelline, Kennedy, Samantha F., Liu, Yong E., Kelly, Nisa N., Chow, Dominic, Garber, Andrea K., Maskarinec, Gertraud, Pujades, Sergi, Black, Michael J., Curless, Brian, Heymsfield, Steven B., Shepherd, John A.

“…Objective The aim of this study was to investigate whether digitally re‐posing three‐dimensional optical (3DO) whole‐body scans to a standardized pose would…”
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Children and Adolescents’ Anthropometrics Body Composition from 3‐D Optical Surface Scans by Wong, Michael C., Ng, Bennett K., Kennedy, Samantha F., Hwaung, Phoenix, Liu, En Y., Kelly, Nisa N., Pagano, Ian S., Garber, Andrea K., Chow, Dominic C., Heymsfield, Steven B., Shepherd, John A.

“…Objective This study aimed to explore the accuracy and precision of three‐dimensional optical (3DO) whole‐body scanning for automated anthropometry and…”
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Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner by Bennett, Jonathan P., Liu, Yong En, Quon, Brandon K., Kelly, Nisa N., Wong, Michael C., Kennedy, Samantha F., Chow, Dominic C., Garber, Andrea K., Weiss, Ethan J., Heymsfield, Steven B., Shepherd, John A.

“…The accurate assessment of total body and regional body circumferences, volumes, and compositions are critical to monitor physical activity and dietary…”
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Reply to Y Lu et al by Bennett, Jonathan P, Liu, Yong En, Kelly, Nisa N, Quon, Brandon K, Wong, Michael C, McCarthy, Cassidy, Heymsfield, Steven B, Shepherd, John A

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A device‐agnostic shape model for automated body composition estimates from 3D optical scans by Tian, Isaac Y., Wong, Michael C., Kennedy, Samantha, Kelly, Nisa N., Liu, Yong E., Garber, Andrea K., Heymsfield, Steven B., Curless, Brian, Shepherd, John A.

“…Background Many predictors of morbidity caused by metabolic disease are associated with body shape. 3D optical (3DO) scanning captures body shape and has been…”
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Cross-sectional assessment of body composition and detection of malnutrition risk in participants with low body mass index and eating disorders using 3D optical surface scans by Garber, Andrea K., Bennett, Jonathan P., Wong, Michael C., Tian, Isaac Y., Maskarinec, Gertraud, Kennedy, Samantha F., McCarthy, Cassidy, Kelly, Nisa N., Liu, Yong E., Machen, Vanessa I., Heymsfield, Steven B., Shepherd, John A.

“…New recommendations for the assessment of malnutrition and sarcopenia include body composition, specifically reduced muscle mass. Three-dimensional optical…”
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Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis by Bennett, Jonathan P, Cataldi, Devon, Liu, Yong En, Kelly, Nisa N, Quon, Brandon K, Schoeller, Dale A, Kelly, Thomas, Heymsfield, Steven B, Shepherd, John A

“…The multicompartment approach to body composition modeling provides a more precise quantification of body compartments in healthy and clinical populations. We…”
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Three‐dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults by Bennett, Jonathan P., Liu, Yong En, Quon, Brandon K., Kelly, Nisa N., Leong, Lambert T., Wong, Michael C., Kennedy, Samantha F., Chow, Dominic C., Garber, Andrea K., Weiss, Ethan J., Heymsfield, Steven B., Shepherd, John A.

“…Objective This study examined whether body shape and composition obtained by three‐dimensional optical (3DO) scanning improved the prediction of metabolic…”
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Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identification by Bennett, Jonathan P., Wong, Michael C., Liu, Yong En, Quon, Brandon K., Kelly, Nisa N., Garber, Andrea K., Heymsfield, Steven B., Shepherd, John A.

“…Body shape expressed as the trunk-to-leg volume ratio is associated with diabetes and mortality due to the associations between higher adiposity and lower lean…”
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Monitoring body composition change for intervention studies with advancing 3D optical imaging technology in comparison to dual-energy X-ray absorptiometry by Wong, Michael C., Bennett, Jonathan P., Leong, Lambert T., Tian, Isaac Y., Liu, Yong E., Kelly, Nisa N., McCarthy, Cassidy, Wong, Julia M.W., Ebbeling, Cara B., Ludwig, David S., Irving, Brian A., Scott, Matthew C., Stampley, James, Davis, Brett, Johannsen, Neil, Matthews, Rachel, Vincellette, Cullen, Garber, Andrea K., Maskarinec, Gertraud, Weiss, Ethan, Rood, Jennifer, Varanoske, Alyssa N., Pasiakos, Stefan M., Heymsfield, Steven B., Shepherd, John A.

“…Recent 3-dimensional optical (3DO) imaging advancements have provided more accessible, affordable, and self-operating opportunities for assessing body…”
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Accuracy and precision of multiple body composition methods and associations with muscle strength in athletes of varying hydration: The Da Kine Study by Cataldi, Devon, Bennett, Jonathan P., Wong, Michael C., Quon, Brandon K., Liu, Yong En, Kelly, Nisa N., Kelly, Thomas, Schoeller, Dale A., Heymsfield, Steven B., Shepherd, John A.

“…Athletes vary in hydration status due to ongoing training regimes, diet demands, and extreme exertion. With water being one of the largest body composition…”
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Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations by Tian, Isaac Y., Wong, Michael C., Nguyen, William M., Kennedy, Samantha, McCarthy, Cassidy, Kelly, Nisa N., Liu, Yong E., Garber, Andrea K., Heymsfield, Steven B., Curless, Brian, Shepherd, John A.

“…Excess adiposity in children is strongly correlated with obesity-related metabolic disease in adulthood, including diabetes, cardiovascular disease, and 13…”
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Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equations by Bennett, Jonathan P., Cataldi, Devon, Liu, Yong En, Kelly, Nisa N., Quon, Brandon K., Gonzalez, Maria Cristina, Heymsfield, Steven B., Shepherd, John A.

“…Bioelectrical impedance analysis (BIA) for body composition estimation is increasingly used in clinical and field settings to guide nutrition and training…”
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Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments by Wong, Michael C., Bennett, Jonathan P., Leong, Lambert T., Liu, Yong E., Kelly, Nisa N., Cherry, John, Kloza, Kate, Li, Bosco, Iuliano, Sandra, Sibonga, Jean, Sawyer, Aenor, Ayton, Jeff, Shepherd, John A.

“…Individuals in isolated and extreme environments can experience debilitating side-effects including significant decreases in fat-free mass (FFM) from disuse…”
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Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans by Leong, Lambert T., Wong, Michael C., Liu, Yong E., Glaser, Yannik, Quon, Brandon K., Kelly, Nisa N., Cataldi, Devon, Sadowski, Peter, Heymsfield, Steven B., Shepherd, John A.

“…Background Body shape, an intuitive health indicator, is deterministically driven by body composition. We developed and validated a deep learning model that…”
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Predictors of liver fat among children and adolescents from five different ethnic groups by Maskarinec, Gertraud, Garber, Andrea K., Wong, Michael C., Kelly, Nisa, Kazemi, Leila, Buchthal, Steven D., Fearnbach, Nicole, Heymsfield, Steven B., Shepherd, John A.

“…Objectives As rates of obesity around the world have increased, so has the detection of high level of liver fat in children and adolescents. This may put them…”
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Effects of Time-Restricted Eating on Weight Loss and Other Metabolic Parameters in Women and Men With Overweight and Obesity: The TREAT Randomized Clinical Trial by Lowe, Dylan A, Wu, Nancy, Rohdin-Bibby, Linnea, Moore, A Holliston, Kelly, Nisa, Liu, Yong En, Philip, Errol, Vittinghoff, Eric, Heymsfield, Steven B, Olgin, Jeffrey E, Shepherd, John A, Weiss, Ethan J

“…The efficacy and safety of time-restricted eating have not been explored in large randomized clinical trials. To determine the effect of 16:8-hour…”
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Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies by Ng, Bennett K, Sommer, Markus J, Wong, Michael C, Pagano, Ian, Nie, Yilin, Fan, Bo, Kennedy, Samantha, Bourgeois, Brianna, Kelly, Nisa, Liu, Yong E, Hwaung, Phoenix, Garber, Andrea K, Chow, Dominic, Vaisse, Christian, Curless, Brian, Heymsfield, Steven B, Shepherd, John A

“…Three-dimensional optical (3DO) body scanning has been proposed for automatic anthropometry. However, conventional measurements fail to capture detailed body…”
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