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Predicting Functional Capacity From Measures of Muscle Mass in Postmenopausal Women.
PM R. 2017 Jun; 9(6):596-602.PM R

Abstract

BACKGROUND

Menopause increases body fat and decreases muscle mass and strength, which contribute to sarcopenia. The amount of appendicular muscle mass has been frequently used to diagnose sarcopenia. Different measures of appendicular muscle mass have been proposed. However, no studies have compared the most salient measure (appendicular muscle mass corrected by body fat) of the appendicular muscle mass to physical function in postmenopausal women.

OBJECTIVE

To examine the association of 3 different measurements of appendicular muscle mass (absolute, corrected by stature, and corrected by body fat) with physical function in postmenopausal women.

DESIGN

Cross-sectional descriptive study.

SETTING

Outpatient geriatric and gynecological clinic.

PARTICIPANTS

Forty-eight postmenopausal women with a mean age (standard deviation [SD]) of 62.1 ± 8.2 years, with mean (SD) length of menopause of 15.7 ± 9.8 years and mean (SD) body fat of 43.6% ± 9.8%.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Appendicular muscle mass measure was measured with dual-energy x-ray absorptiometry. Physical function was measured by a functional capacity questionnaire, a short physical performance battery, and a 6 minute-walk test. Muscle quality (leg extensor strength to lower-body mineral-free lean mass ratio) and sum of z scores (sum of each physical function tests z score) were performed to provide a global index of physical function.

RESULTS

The regression analysis showed that appendicular muscle mass corrected by body fat was the strongest predictor of physical function. Each increase in the standard deviation of appendicular muscle mass corrected by body fat was associated with a mean sum of z score increase of 59% (standard deviation), whereas each increase in absolute appendicular muscle mass and appendicular muscle mass corrected by stature were associated with a mean sum of z scores decrease of 23% and 36%, respectively. Muscle quality was associated with appendicular muscle mass corrected by body fat.

CONCLUSION

These findings indicate that appendicular muscle mass corrected by body fat is a better predictor of physical function than the other measures of appendicular muscle mass in postmenopausal women.

LEVEL OF EVIDENCE

I.

Authors+Show Affiliations

Exercise Biology Research Group (BioEx), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil; Department of Sport Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil; Federal University of Triângulo Mineiro (UFTM), Exercise Biology Laboratory (BioEx), Avenue Tutunas, 490, Uberaba-MG, Brazil, 38061-500(∗). Electronic address: fabiorsatti@gmail.com.Exercise Biology Research Group (BioEx), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(†).Exercise Biology Research Group (BioEx), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(‡).Exercise Biology Research Group (BioEx), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(§).Exercise Biology Research Group (BioEx), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(‖).Research Institute of Oncology (IPON), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil; Discipline of Gynecology and Obstetrics, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(¶).Research Institute of Oncology (IPON), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil; Discipline of Gynecology and Obstetrics, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(#).Research Institute of Oncology (IPON), Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil; Discipline of Gynecology and Obstetrics, Federal University of Triângulo Mineiro (UFTM), Uberaba, Minas Gerais, Brazil(∗∗).

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27729287

Citation

Orsatti, Fábio Lera, et al. "Predicting Functional Capacity From Measures of Muscle Mass in Postmenopausal Women." PM & R : the Journal of Injury, Function, and Rehabilitation, vol. 9, no. 6, 2017, pp. 596-602.
Orsatti FL, Nunes PRP, Souza AP, et al. Predicting Functional Capacity From Measures of Muscle Mass in Postmenopausal Women. PM R. 2017;9(6):596-602.
Orsatti, F. L., Nunes, P. R. P., Souza, A. P., Martins, F. M., de Oliveira, A. A., Nomelini, R. S., Michelin, M. A., & Murta, E. F. C. (2017). Predicting Functional Capacity From Measures of Muscle Mass in Postmenopausal Women. PM & R : the Journal of Injury, Function, and Rehabilitation, 9(6), 596-602. https://doi.org/10.1016/j.pmrj.2016.10.001
Orsatti FL, et al. Predicting Functional Capacity From Measures of Muscle Mass in Postmenopausal Women. PM R. 2017;9(6):596-602. PubMed PMID: 27729287.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predicting Functional Capacity From Measures of Muscle Mass in Postmenopausal Women. AU - Orsatti,Fábio Lera, AU - Nunes,Paulo Ricardo Prado, AU - Souza,Aletéia de Paula, AU - Martins,Fernanda Maria, AU - de Oliveira,Anselmo Alves, AU - Nomelini,Rosekeila Simões, AU - Michelin,Márcia Antoniazi, AU - Murta,Eddie Fernando Cândido, Y1 - 2016/10/08/ PY - 2016/05/18/received PY - 2016/09/26/revised PY - 2016/10/02/accepted PY - 2016/10/30/pubmed PY - 2018/4/12/medline PY - 2016/10/13/entrez SP - 596 EP - 602 JF - PM & R : the journal of injury, function, and rehabilitation JO - PM R VL - 9 IS - 6 N2 - BACKGROUND: Menopause increases body fat and decreases muscle mass and strength, which contribute to sarcopenia. The amount of appendicular muscle mass has been frequently used to diagnose sarcopenia. Different measures of appendicular muscle mass have been proposed. However, no studies have compared the most salient measure (appendicular muscle mass corrected by body fat) of the appendicular muscle mass to physical function in postmenopausal women. OBJECTIVE: To examine the association of 3 different measurements of appendicular muscle mass (absolute, corrected by stature, and corrected by body fat) with physical function in postmenopausal women. DESIGN: Cross-sectional descriptive study. SETTING: Outpatient geriatric and gynecological clinic. PARTICIPANTS: Forty-eight postmenopausal women with a mean age (standard deviation [SD]) of 62.1 ± 8.2 years, with mean (SD) length of menopause of 15.7 ± 9.8 years and mean (SD) body fat of 43.6% ± 9.8%. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Appendicular muscle mass measure was measured with dual-energy x-ray absorptiometry. Physical function was measured by a functional capacity questionnaire, a short physical performance battery, and a 6 minute-walk test. Muscle quality (leg extensor strength to lower-body mineral-free lean mass ratio) and sum of z scores (sum of each physical function tests z score) were performed to provide a global index of physical function. RESULTS: The regression analysis showed that appendicular muscle mass corrected by body fat was the strongest predictor of physical function. Each increase in the standard deviation of appendicular muscle mass corrected by body fat was associated with a mean sum of z score increase of 59% (standard deviation), whereas each increase in absolute appendicular muscle mass and appendicular muscle mass corrected by stature were associated with a mean sum of z scores decrease of 23% and 36%, respectively. Muscle quality was associated with appendicular muscle mass corrected by body fat. CONCLUSION: These findings indicate that appendicular muscle mass corrected by body fat is a better predictor of physical function than the other measures of appendicular muscle mass in postmenopausal women. LEVEL OF EVIDENCE: I. SN - 1934-1563 UR - https://www.unboundmedicine.com/medline/citation/27729287/Predicting_Functional_Capacity_From_Measures_of_Muscle_Mass_in_Postmenopausal_Women_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1934-1482(16)30988-1 DB - PRIME DP - Unbound Medicine ER -