Tags

Type your tag names separated by a space and hit enter

Simplified method of clinical phenotyping for older men and women using established field-based measures.
Exp Gerontol 2013; 48(12):1479-88EG

Abstract

The purpose of this investigation was to determine body composition classification using field-based testing measurements in healthy elderly men and women. The use of isoperformance curves is presented as a method for this determination. Baseline values from 107 healthy Caucasian men and women, over the age of 65years old, who participated in a separate longitudinal study, were used for this investigation. Field-based measurements of age, height, weight, body mass index (BMI), and handgrip strength were recorded on an individual basis. Relative skeletal muscle index (RSMI) and body fat percentage (FAT%) were determined by dual-energy X-ray absorptiometry (DXA) for each participant. Sarcopenia cut-off values for RSMI of 7.26kg·m(-2) for men and 5.45kg·m(-2) for women and elderly obesity cut-off values for FAT% of 27% for men and 38% for women were used. Individuals above the RSMI cut-off and below the FAT% cut-off were classified in the normal phenotype category, while individuals below the RSMI cut-off and above the FAT% cut-off were classified in the sarcopenic-obese phenotype category. Prediction equations for RSMI and FAT% from sex, BMI, and handgrip strength values were developed using multiple regression analysis. The prediction equations were validated using double cross-validation. The final regression equation developed to predict FAT% from sex, BMI, and handgrip strength resulted in a strong relationship (adjusted R(2)=0.741) to DXA values with a low standard error of the estimate (SEE=3.994%). The final regression equation developed to predict RSMI from the field-based testing measures also resulted in a strong relationship (adjusted R(2)=0.841) to DXA values with a low standard error of the estimate (SEE=0.544kg·m(-2)). Isoperformance curves were developed from the relationship between BMI and handgrip strength for men and women with the aforementioned clinical phenotype classification criteria. These visual representations were used to aid in the classification and evaluation of sarcopenia, obesity, and sarcopenic-obesity in elderly individuals. Future research should replicate the current findings with an increased sample size and the development of tailored interventions for each body composition category.

Authors+Show Affiliations

Institute of Exercise Physiology and Wellness, University of Central Florida, 12494 University Boulevard, Orlando, FL 32816, United States. Electronic address: david.fukuda@ucf.edu.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Studies

Language

eng

PubMed ID

24140621

Citation

Fukuda, David H., et al. "Simplified Method of Clinical Phenotyping for Older Men and Women Using Established Field-based Measures." Experimental Gerontology, vol. 48, no. 12, 2013, pp. 1479-88.
Fukuda DH, Smith-Ryan AE, Kendall KL, et al. Simplified method of clinical phenotyping for older men and women using established field-based measures. Exp Gerontol. 2013;48(12):1479-88.
Fukuda, D. H., Smith-Ryan, A. E., Kendall, K. L., Moon, J. R., & Stout, J. R. (2013). Simplified method of clinical phenotyping for older men and women using established field-based measures. Experimental Gerontology, 48(12), pp. 1479-88. doi:10.1016/j.exger.2013.10.005.
Fukuda DH, et al. Simplified Method of Clinical Phenotyping for Older Men and Women Using Established Field-based Measures. Exp Gerontol. 2013;48(12):1479-88. PubMed PMID: 24140621.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Simplified method of clinical phenotyping for older men and women using established field-based measures. AU - Fukuda,David H, AU - Smith-Ryan,Abbie E, AU - Kendall,Kristina L, AU - Moon,Jordan R, AU - Stout,Jeffrey R, Y1 - 2013/10/16/ PY - 2013/08/21/received PY - 2013/10/02/revised PY - 2013/10/08/accepted PY - 2013/10/22/entrez PY - 2013/10/22/pubmed PY - 2014/7/31/medline KW - BMI KW - Body composition KW - CE KW - DXA KW - FAT% KW - Isoperformance KW - Obesity KW - Phenotype KW - RSMI KW - SD KW - SEE KW - Sarcopenia KW - Sarcopenic-obesity KW - TE KW - body fat percentage KW - body mass index KW - constant error KW - dual-energy X-ray absorptiometry KW - relative skeletal muscle index KW - standard deviation KW - standard error of estimate KW - total error SP - 1479 EP - 88 JF - Experimental gerontology JO - Exp. Gerontol. VL - 48 IS - 12 N2 - The purpose of this investigation was to determine body composition classification using field-based testing measurements in healthy elderly men and women. The use of isoperformance curves is presented as a method for this determination. Baseline values from 107 healthy Caucasian men and women, over the age of 65years old, who participated in a separate longitudinal study, were used for this investigation. Field-based measurements of age, height, weight, body mass index (BMI), and handgrip strength were recorded on an individual basis. Relative skeletal muscle index (RSMI) and body fat percentage (FAT%) were determined by dual-energy X-ray absorptiometry (DXA) for each participant. Sarcopenia cut-off values for RSMI of 7.26kg·m(-2) for men and 5.45kg·m(-2) for women and elderly obesity cut-off values for FAT% of 27% for men and 38% for women were used. Individuals above the RSMI cut-off and below the FAT% cut-off were classified in the normal phenotype category, while individuals below the RSMI cut-off and above the FAT% cut-off were classified in the sarcopenic-obese phenotype category. Prediction equations for RSMI and FAT% from sex, BMI, and handgrip strength values were developed using multiple regression analysis. The prediction equations were validated using double cross-validation. The final regression equation developed to predict FAT% from sex, BMI, and handgrip strength resulted in a strong relationship (adjusted R(2)=0.741) to DXA values with a low standard error of the estimate (SEE=3.994%). The final regression equation developed to predict RSMI from the field-based testing measures also resulted in a strong relationship (adjusted R(2)=0.841) to DXA values with a low standard error of the estimate (SEE=0.544kg·m(-2)). Isoperformance curves were developed from the relationship between BMI and handgrip strength for men and women with the aforementioned clinical phenotype classification criteria. These visual representations were used to aid in the classification and evaluation of sarcopenia, obesity, and sarcopenic-obesity in elderly individuals. Future research should replicate the current findings with an increased sample size and the development of tailored interventions for each body composition category. SN - 1873-6815 UR - https://www.unboundmedicine.com/medline/citation/24140621/Simplified_method_of_clinical_phenotyping_for_older_men_and_women_using_established_field_based_measures_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0531-5565(13)00309-4 DB - PRIME DP - Unbound Medicine ER -