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Garber AK, Bennett JP, Wong MC, Tian IY, Maskarinec G, Kennedy SF, McCarthy C, Kelly NN, Liu YE, Machen VI, Heymsfield SB, Shepherd JA. 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. Am J Clin Nutr 2023; 118:812-821. [PMID: 37598747 PMCID: PMC10797509 DOI: 10.1016/j.ajcnut.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 08/08/2023] [Accepted: 08/14/2023] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND New recommendations for the assessment of malnutrition and sarcopenia include body composition, specifically reduced muscle mass. Three-dimensional optical imaging (3DO) is a validated, accessible, and affordable alternative to dual X-ray absorptiometry (DXA). OBJECTIVE Identify strengths and weaknesses of 3DO for identification of malnutrition in participants with low body mass index (BMI) and eating disorders. DESIGN Participants were enrolled in the cross-sectional Shape Up! Adults and Kids studies of body shape, metabolic risk, and functional assessment and had BMI of <20 kg/m2 in adults or <85% of median BMI (mBMI) in children and adolescents. A subset was referred for eating disorders evaluation. Anthropometrics, scans, strength testing, and questionnaires were completed in clinical research centers. Lin's Concordance Correlation Coefficient (CCC) assessed agreement between 3DO and DXA; multivariate linear regression analysis examined associations between weight history and body composition. RESULTS Among 95 participants, mean ± SD BMI was 18.3 ± 1.4 kg/m2 in adult women (N = 56), 19.0 ± 0.6 in men (N = 14), and 84.2% ± 4.1% mBMI in children (N = 25). Concordance was excellent for fat-free mass (FFM, CCC = 0.97) and strong for appendicular lean mass (ALM, CCC = 0.86) and fat mass (FM, CCC = 0.87). By DXA, 80% of adults met the low FFM index criterion for malnutrition, and 44% met low ALM for sarcopenia; 52% of children and adolescents were <-2 z-score for FM. 3DO identified 95% of these cases. In the subset, greater weight loss predicted lower FFM, FM, and ALM by both methods; a greater percentage of weight regained predicted a higher percentage of body fat. CONCLUSIONS 3DO can accurately estimate body composition in participants with low BMI and identify criteria for malnutrition and sarcopenia. In a subset, 3DO detected changes in body composition expected with weight loss and regain secondary to eating disorders. These findings support the utility of 3DO for body composition assessment in patients with low BMI, including those with eating disorders. This trial was registered at clinicaltrials.gov as NCT03637855.
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Affiliation(s)
- Andrea K Garber
- Department of Pediatrics, University of California, San Francisco, CA, United States.
| | - Jonathan P Bennett
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, HI, United States; University of Hawai'i Cancer Center, Honolulu, HI, United States
| | - Michael C Wong
- University of Hawai'i Cancer Center, Honolulu, HI, United States
| | - Isaac Y Tian
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States
| | | | - Samantha F Kennedy
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States
| | - Cassidy McCarthy
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States
| | - Nisa N Kelly
- University of Hawai'i Cancer Center, Honolulu, HI, United States
| | - Yong E Liu
- University of Hawai'i Cancer Center, Honolulu, HI, United States
| | - Vanessa I Machen
- Department of Pediatrics, University of California, San Francisco, CA, United States
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, United States
| | - John A Shepherd
- University of Hawai'i Cancer Center, Honolulu, HI, United States
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Bennett JP, Liu YE, Quon BK, Kelly NN, Leong LT, Wong MC, Kennedy SF, Chow DC, Garber AK, Weiss EJ, Heymsfield SB, Shepherd JA. Three-dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults. Obesity (Silver Spring) 2022; 30:1589-1598. [PMID: 35894079 PMCID: PMC9333197 DOI: 10.1002/oby.23470] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/05/2022] [Accepted: 04/21/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE This study examined whether body shape and composition obtained by three-dimensional optical (3DO) scanning improved the prediction of metabolic syndrome (MetS) prevalence compared with BMI and demographics. METHODS A diverse ambulatory adult population underwent whole-body 3DO scanning, blood tests, manual anthropometrics, and blood pressure assessment in the Shape Up! Adults study. MetS prevalence was evaluated based on 2005 National Cholesterol Education Program criteria, and prediction of MetS involved logistic regression to assess (1) BMI, (2) demographics-adjusted BMI, (3) 85 3DO anthropometry and body composition measures, and (4) BMI + 3DO + demographics models. Receiver operating characteristic area under the curve (AUC) values were generated for each predictive model. RESULTS A total of 501 participants (280 female) were recruited, with 87 meeting the criteria for MetS. Compared with the BMI model (AUC = 0.819), inclusion of age, sex, and race increased the AUC to 0.861, and inclusion of 3DO measures further increased the AUC to 0.917. The overall integrated discrimination improvement between the 3DO + demographics and the BMI model was 0.290 (p < 0.0001) with a net reclassification improvement of 0.214 (p < 0.0001). CONCLUSIONS Body shape measures from an accessible 3DO scan, adjusted for demographics, predicted MetS better than demographics and/or BMI alone. Risk classification in this population increased by 29% when using 3DO scanning.
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Affiliation(s)
- Jonathan P Bennett
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Yong En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Nisa N Kelly
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Lambert T Leong
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Michael C Wong
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Samantha F Kennedy
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Dominic C Chow
- John A. Burns School of Medicine, University of Hawai'i Manoa, Honolulu, Hawaii, USA
| | - Andrea K Garber
- Division of Adolescent & Young Adult Medicine, University of California, San Francisco, California, USA
| | - Ethan J Weiss
- Division of Cardiology, University of California School of Medicine, San Francisco, California, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - John A Shepherd
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
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Bennett JP, Liu YE, Quon BK, Kelly NN, Wong MC, Kennedy SF, Chow DC, Garber AK, Weiss EJ, Heymsfield SB, Shepherd JA. Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner. Clin Nutr 2022; 41:211-218. [PMID: 34915272 PMCID: PMC8727542 DOI: 10.1016/j.clnu.2021.11.031] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 11/16/2021] [Accepted: 11/24/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND The accurate assessment of total body and regional body circumferences, volumes, and compositions are critical to monitor physical activity and dietary interventions, as well as accurate disease classifications including obesity, metabolic syndrome, sarcopenia, and lymphedema. We assessed body composition and anthropometry estimates provided by a commercial 3-dimensional optical (3DO) imaging system compared to criterion measures. METHODS Participants of the Shape Up! Adults study were recruited for similar sized stratifications by sex, age (18-40, 40-60, >60 years), BMI (under, normal, overweight, obese), and across five ethnicities (non-Hispanic [NH] Black, NH White, Hispanic, Asian, Native Hawaiian/Pacific Islander). All participants received manual anthropometry assessments, duplicate whole-body 3DO (Styku S100), and dual-energy X-ray absorptiometry (DXA) scans. 3DO estimates provided by the manufacturer for anthropometry and body composition were compared to the criterion measures using concordance correlation coefficient (CCC) and Bland-Altman analysis. Test-retest precision was assessed by root mean square error (RMSE) and coefficient of variation. RESULTS A total of 188 (102 female) participants were included. The overall fat free mass (FFM) as measured by DXA (54.1 ± 15.2 kg) and 3DO (55.3 ± 15.0 kg) showed a small mean difference of 1.2 ± 3.4 kg (95% limits of agreement -7.0 to +5.6) and the CCC was 0.97 (95% CI: 0.96-0.98). The CCC for FM was 0.95 (95% CI: 0.94-0.97) and the mean difference of 1.3 ± 3.4 kg (95% CI: -5.5 to +8.1) reflected the difference in FFM measures. 3DO anthropometry and body composition measurements showed high test-retest precision for whole body volume (1.1 L), fat mass (0.41 kg), percent fat (0.60%), arm and leg volumes, (0.11 and 0.21 L, respectively), and waist and hip circumferences (all <0.60 cm). No group differences were observed when stratified by body mass index, sex, or race/ethnicity. CONCLUSIONS The anthropometric and body composition estimates provided by the 3DO scanner are precise and accurate to criterion methods if offsets are considered. This method offers a rapid, broadly available, and automated method of body composition assessment regardless of body size. Further studies are recommended to examine the relationship between measurements obtained by 3DO scans and metabolic health in healthy and clinical populations.
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Affiliation(s)
- Jonathan P Bennett
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA.
| | - Yong En Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Brandon K Quon
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Nisa N Kelly
- Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Michael C Wong
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
| | - Samantha F Kennedy
- Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA
| | - Dominic C Chow
- John A. Burns School of Medicine, University of Hawaii, 651 Ilalo St, Honolulu, HI, 96813, USA
| | - Andrea K Garber
- Division of Adolescent & Young Adult Medicine, University of California, San Francisco, 3333 California Street, Suite 245, CA, 94118, USA
| | - Ethan J Weiss
- University of California School of Medicine, 555 Mission Bay Blvd South, San Francisco, CA, 94158, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA
| | - John A Shepherd
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA
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Wong MC, Ng BK, Tian I, Sobhiyeh S, Pagano I, Dechenaud M, Kennedy SF, Liu YE, Kelly NN, Chow D, Garber AK, Maskarinec G, Pujades S, Black MJ, Curless B, Heymsfield SB, Shepherd JA. A pose-independent method for accurate and precise body composition from 3D optical scans. Obesity (Silver Spring) 2021; 29:1835-1847. [PMID: 34549543 PMCID: PMC8570991 DOI: 10.1002/oby.23256] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 12/12/2022]
Abstract
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 improve body composition accuracy and precision regardless of the initial pose. METHODS Healthy adults (n = 540), stratified by sex, BMI, and age, completed whole-body 3DO and dual-energy X-ray absorptiometry (DXA) scans in the Shape Up! Adults study. The 3DO mesh vertices were represented with standardized templates and a low-dimensional space by principal component analysis (stratified by sex). The total sample was split into a training (80%) and test (20%) set for both males and females. Stepwise linear regression was used to build prediction models for body composition and anthropometry outputs using 3DO principal components (PCs). RESULTS The analysis included 472 participants after exclusions. After re-posing, three PCs described 95% of the shape variance in the male and female training sets. 3DO body composition accuracy compared with DXA was as follows: fat mass R2 = 0.91 male, 0.94 female; fat-free mass R2 = 0.95 male, 0.92 female; visceral fat mass R2 = 0.77 male, 0.79 female. CONCLUSIONS Re-posed 3DO body shape PCs produced more accurate and precise body composition models that may be used in clinical or nonclinical settings when DXA is unavailable or when frequent ionizing radiation exposure is unwanted.
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Affiliation(s)
- Michael C Wong
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Bennett K Ng
- Department of Emerging Growth and Incubation, Intel Corp., Santa Clara, California, USA
| | - Isaac Tian
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA
| | - Sima Sobhiyeh
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Ian Pagano
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Marcelline Dechenaud
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Samantha F Kennedy
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Yong E Liu
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Nisa N Kelly
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Dominic Chow
- John A. Burns School of Medicine, University of Hawai'i, Honolulu, Hawaii, USA
| | - Andrea K Garber
- School of Medicine, University of California, San Francisco, California, USA
| | - Gertraud Maskarinec
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
| | - Sergi Pujades
- Inria, Université Grenoble Alpes, CNRS, Grenoble INP, LJK, Grenoble, France
| | - Michael J Black
- Max Planck Institute for Intelligent Systems, Tübingen, Germany
| | - Brian Curless
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - John A Shepherd
- Graduate Program in Human Nutrition, University of Hawai'i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, Hawaii, USA
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Kennedy SF, Kovan J, Werner E, Mancine R, Gusfa D, Kleiman H. Initial validation of a screening tool for disordered eating in adolescent athletes. J Eat Disord 2021; 9:21. [PMID: 33588900 PMCID: PMC7885388 DOI: 10.1186/s40337-020-00364-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/22/2020] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Disordered eating (DE) is a growing problem among all athletes, particularly adolescents. To help prevent the progression of DE to a clinical eating disorder (ED), a brief screening tool could offer an efficient method for early identification of DE in athletes and facilitate treatment. The aim of this study is to validate a screening tool for DE that will identify male and female adolescent athletes of all sports and levels of competition who are at risk for DE. The Disordered Eating Screen for Athletes (DESA-6) consists of only 6 items and was designed for use in both male and female athlete populations. METHODS Validation involved two phases: Phase I consisted of screening high school athletes using the Eating Attitudes Test (EAT-26) and the DESA-6; and Phase II included inviting all high school athletes categorized as "at risk" after screening, plus age- and self-reported gender- matched athletes categorized as not "at risk", to complete the same surveys a second time along with clinical interview. Validity and regression analyses were used to compare the DESA-6 to the EAT-26 and EDE 17.0D. RESULTS When comparing to clinical interview, the DESA-6 had a total sensitivity of 92% and specificity of 85.96%, respectively. Upon comparison of concurrent validity, Phase II DESA-6 had a strong significant positive correlation for both males and females when compared to Phase II EDE 17.0D. CONCLUSIONS A brief, easy to administer screening tool for recognizing DE that can be used by physicians, psychologists, athletic trainers, registered dietitians, and other sport/healthcare staff is of utmost importance for early intervention, which can lead to improved treatment outcomes. The DESA-6 is a promising tool for risk assessment of DE in athletes.
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Affiliation(s)
- Samantha F Kennedy
- Department of Psychiatry, Michigan State University, 909 Wilson Rd, Room B119, East Lansing, MI, 48824, USA.
| | - Jeffrey Kovan
- Department of Sports Medicine, Michigan State University, East Lansing, MI, 48824, USA
| | - Emily Werner
- Department of Kinesiology, Michigan State University, East Lansing, MI, 48824, USA
| | - Ryley Mancine
- Michigan State University College of Osteopathic Medicine, Michigan State University, East Lansing, MI, 48824, USA
| | - Donald Gusfa
- Michigan State University College of Osteopathic Medicine, Michigan State University, East Lansing, MI, 48824, USA
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Mancine RP, Gusfa DW, Moshrefi A, Kennedy SF. Prevalence of disordered eating in athletes categorized by emphasis on leanness and activity type - a systematic review. J Eat Disord 2020; 8:47. [PMID: 33005418 PMCID: PMC7523350 DOI: 10.1186/s40337-020-00323-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Accepted: 09/09/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Disordered Eating (DE) shows a strong association with athletics and can lead to several negative mental and physical health effects. Traditionally, sports have been grouped based upon whether or not the sport emphasizes leanness as a competing factor. Due to sociocultural factors, risk for DE may also be associated with the sport type. The aim of this review is to critically analyze the available research and data in this field to consider the relationship between DE and sport type to see which factors influence prevalence among athletes. METHOD A systematic review was completed using keywords specific to DE and sport types. Articles were either excluded due to lack of specification of athlete type or failure to use a standardized screening tool or interview for data collection. RESULTS 6 out of 7 studies found a significant increase in DE rates among lean sport types. When classifying by sport type reports were less consistent, but show non-lean sports also have increased rates of DE. CONCLUSION There are variations in prevalence of DE behaviors depending on athlete type. It is important to identify the risk for DE early in athletes so emphasis can be placed on treatment options to nullify progression to an eating disorder, lower negative impacts on an athlete's performance, and prevent other negative health effects. Using sport groups is important to clinical practice as well as research, as certain sports may have a higher risk for development of DE.
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Affiliation(s)
- Ryley P. Mancine
- Medical Student, Michigan State University College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48825 USA
| | - Donald W. Gusfa
- Medical Student, Michigan State University College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48825 USA
| | - Ali Moshrefi
- Lab Personnel, Michigan State University College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48825 USA
| | - Samantha F. Kennedy
- Child and Adolescent Psychiatrist, Department of Psychiatry, Michigan State University, East Lansing, MI 48825 USA
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Wong MC, Ng BK, Kennedy SF, Hwaung P, Liu EY, Kelly NN, Pagano IS, Garber AK, Chow DC, Heymsfield SB, Shepherd JA. Children and Adolescents' Anthropometrics Body Composition from 3-D Optical Surface Scans. Obesity (Silver Spring) 2019; 27:1738-1749. [PMID: 31689009 PMCID: PMC7883773 DOI: 10.1002/oby.22637] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 06/13/2019] [Indexed: 12/13/2022]
Abstract
OBJECTIVE This study aimed to explore the accuracy and precision of three-dimensional optical (3DO) whole-body scanning for automated anthropometry and estimating total and regional body composition. METHODS Healthy children and adolescents (n = 181, ages 5-17 years) were recruited for the Shape Up! Kids study. Each participant underwent whole-body dual-energy x-ray absorptiometry and 3DO scans; multisite conventional tape measurements served as the anthropometric criterion measure. 3DO body shape was described using automated body circumference, length, and volume measures. 3DO estimates were compared with criterion measures using simple linear regression by the stepwise selection method. RESULTS Of the 181 participants, 112 were used for the training set, 49 were used for the test set, and 20 were excluded for technical reasons. 3DO body composition estimates were strongly associated with dual-energy x-ray absorptiometry measures for percent body fat, fat mass, and fat-free mass (R2 : 0.83, 0.96, and 0.98, respectively). 3DO provided reliable measurements of fat mass (coefficient of variation, 3.30; root mean square error [RMSE], 0.53), fat-free mass (coefficient of variation, 1.34; RMSE, 0.53 kg), and percent body fat (RMSE = 1.2%). CONCLUSIONS 3DO surface scanning provides accurate and precise anthropometric and body composition estimates in children and adolescents with high precision. 3DO is a safe, accessible, and practical method for evaluating body shape and composition in research and clinical settings.
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Affiliation(s)
- Michael C. Wong
- Graduate Program in Human Nutrition, University of Hawai’i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai’i Cancer Center, Honolulu, Hawaii, USA
| | - Bennett K. Ng
- Department of Epidemiology, University of Hawai’i Cancer Center, Honolulu, Hawaii, USA
| | - Samantha F. Kennedy
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Phoenix Hwaung
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - En Y. Liu
- Department of Epidemiology, University of Hawai’i Cancer Center, Honolulu, Hawaii, USA
| | - Nisa N. Kelly
- Department of Epidemiology, University of Hawai’i Cancer Center, Honolulu, Hawaii, USA
| | - Ian S. Pagano
- Department of Epidemiology, University of Hawai’i Cancer Center, Honolulu, Hawaii, USA
| | - Andrea K. Garber
- Division of Adolescent & Young Adult Medicine, University of California, San Francisco, California, USA
| | - Dominic C. Chow
- John A. Burns School of Medicine, University of Hawai’i, Honolulu, Hawaii, USA
| | - Steven B. Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - John A. Shepherd
- Graduate Program in Human Nutrition, University of Hawai’i Manoa, Honolulu, Hawaii, USA
- Department of Epidemiology, University of Hawai’i Cancer Center, Honolulu, Hawaii, USA
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Lees DE, Kennedy SF, Gadde PL, Macnamara TE. Neuroanesthesiology: expansion into diagnosis. South Med J 1983; 76:887-9. [PMID: 6306846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Anesthesiologists are now active in the diagnosis of unusual neurologic and neuromuscular disorders. Their skill derives both from a firm understanding of basic sciences and a facility with invasive procedures. Five representative cases are presented to illustrate the scope of diagnostic neuroanesthesiology and the endeavors of the neuroanesthesiologist outside the operating theater.
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Khoury R, Kennedy SF, Macnamara TE. Facial causalgia: report of case. J Oral Surg 1980; 38:782-3. [PMID: 6932491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Hanowell ST, Kennedy SF, Macnamara TE, Lees DE. Celiac plexus block: diagnostic and therapeutic applications in abdominal pain. South Med J 1980; 73:1330-2. [PMID: 7434043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The celiac plexus block has been "rediscovered" by the modern multidisciplinary pain clinic. Local anesthetic blocks aid in diagnosing unusual syndromes of abdominal pain. Neurolytic blocks are important in the management of intractable pain from abdominal cancer. Therapeutic use of celiac plexus block in managing the pain of chronic pancreatitis has been expanded by the use of intraplexus steroids. This treatment carries less morbidity than surgical interventions and affords long-term pain relief.
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Abstract
The structure of Vibrio marinus strain PS-207 was studied by both phase and electron microscopy. It was found to possess a trilaminar plasma membrane and cell wall. Membrane-bounded subunits containing DNA-like material were found dispersed throughout the cytoplasm. Giant round forms or "macrospheres" were observed in all growth stages. The size, shape, and construction of the "macrospheres" showed some variation, but could not be related to culture age. Studies of cell division in V. marinus strain PS-207 indicate the primary mechanism to be a synthesis and centripetal deposition of plasma membrane with a concomitant or subsequent synthesis and centripetal deposition of cross wall material.
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Abstract
An electron microscope study of Vibrio marinus strains MP-1, an obligate psychrophile, and PS-207, a moderate psychrophile, revealed numerous intracellular membranous structures. The structures were found to occur more frequently in V. marinus strain MP-1 than in strain PS-207. The frequency of occurrence and complexity of structure were related to age of the culture. In early logarithmic phase, cells revealed invaginations of the plasma membrane. More complex membrane forms, found in late logarithmic and stationary phase, were either myelin-like sheaths, for which the term "myelemma" is proposed, or membranes randomly arranged throughout the cells. The complex membrane forms were not observed to be directly connected with the plasma membrane. However, they were often found in approximation to the plasma membrane or associated with vacuoles and circular membrane profiles. Individual membranes were of a tripartite structure and of dimensions similar to the cell wall and plasma membrane.
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