Association between muscle strength and modeling estimates of muscle tissue heterogeneity in young and old adults

Michael O. Harris-Love, Tomas I. Gonzales, Qi Wei, Catheeja Ismail, Johannah Zabal, Paula Woletz, Loretta Dipietro, Marc R. Blackman

Research output: Contribution to journalArticle

Abstract

Objectives—Assessing aging muscle through estimates of muscle heterogeneity may overcome some of the limitations of grayscale analyses. The objectives of this study included determining statistical model parameters that characterize muscle echogenicity and are associated with strength in younger and older participants. Methods—Thirty-three community-dwelling participants were assigned to younger and older groups. Quantitative B-mode ultrasound scanning of the rectus femoris and isometric grip strength testing were completed. Shape or dispersion parameters from negative binomial distribution, Nakagami, gamma, and gamma mixture models were fitted to the grayscale histograms. Results—The mean ages ± SDs of the younger and older groups were 24.0 ± 2.3 and 65.1 ± 6.5 years, respectively. Statistical model shape and dispersion parameters for the grayscale histograms significantly differed between the younger and older participants (P =.002–.006). Among all of the statistical models considered, the gamma mixture model showed the best fit with the grayscale histograms (χ2 goodness of fit = 62), whereas the Nakagami distribution displayed the poorest fit (χ2 goodness of fit = 2595). Grayscale values were significantly associated with peak grip strength force in younger adult participants (R2 = 0.36; P <.008). However, the negative binomial dispersion parameter k (adjusted R2 = 0.70; P <.001) and gamma shape parameter α (adjusted R2 = 0.68; P <.01) showed the highest associations with peak grip strength force in older adult participants. Conclusions—The negative binomial dispersion parameter k and the gamma shape parameter α have clinical relevance for the assessment of age-related muscle changes. Statistical models of muscle heterogeneity may characterize the association between muscle tissue composition estimates and strength better than grayscale measures in samples of community-dwelling older adults.

Original languageEnglish (US)
Pages (from-to)1757-1768
Number of pages12
JournalJournal of Ultrasound in Medicine
Volume38
Issue number7
DOIs
StatePublished - Jan 1 2019
Externally publishedYes

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Muscle Strength
Young Adult
Statistical Models
Muscles
Hand Strength
Independent Living
Binomial Distribution
Quadriceps Muscle

Keywords

  • Echogenicity
  • Muscle quality
  • Musculoskeletal ultrasound
  • Statistical modeling
  • —aging

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

Cite this

Association between muscle strength and modeling estimates of muscle tissue heterogeneity in young and old adults. / Harris-Love, Michael O.; Gonzales, Tomas I.; Wei, Qi; Ismail, Catheeja; Zabal, Johannah; Woletz, Paula; Dipietro, Loretta; Blackman, Marc R.

In: Journal of Ultrasound in Medicine, Vol. 38, No. 7, 01.01.2019, p. 1757-1768.

Research output: Contribution to journalArticle

Harris-Love, Michael O. ; Gonzales, Tomas I. ; Wei, Qi ; Ismail, Catheeja ; Zabal, Johannah ; Woletz, Paula ; Dipietro, Loretta ; Blackman, Marc R. / Association between muscle strength and modeling estimates of muscle tissue heterogeneity in young and old adults. In: Journal of Ultrasound in Medicine. 2019 ; Vol. 38, No. 7. pp. 1757-1768.
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abstract = "Objectives—Assessing aging muscle through estimates of muscle heterogeneity may overcome some of the limitations of grayscale analyses. The objectives of this study included determining statistical model parameters that characterize muscle echogenicity and are associated with strength in younger and older participants. Methods—Thirty-three community-dwelling participants were assigned to younger and older groups. Quantitative B-mode ultrasound scanning of the rectus femoris and isometric grip strength testing were completed. Shape or dispersion parameters from negative binomial distribution, Nakagami, gamma, and gamma mixture models were fitted to the grayscale histograms. Results—The mean ages ± SDs of the younger and older groups were 24.0 ± 2.3 and 65.1 ± 6.5 years, respectively. Statistical model shape and dispersion parameters for the grayscale histograms significantly differed between the younger and older participants (P =.002–.006). Among all of the statistical models considered, the gamma mixture model showed the best fit with the grayscale histograms (χ2 goodness of fit = 62), whereas the Nakagami distribution displayed the poorest fit (χ2 goodness of fit = 2595). Grayscale values were significantly associated with peak grip strength force in younger adult participants (R2 = 0.36; P <.008). However, the negative binomial dispersion parameter k (adjusted R2 = 0.70; P <.001) and gamma shape parameter α (adjusted R2 = 0.68; P <.01) showed the highest associations with peak grip strength force in older adult participants. Conclusions—The negative binomial dispersion parameter k and the gamma shape parameter α have clinical relevance for the assessment of age-related muscle changes. Statistical models of muscle heterogeneity may characterize the association between muscle tissue composition estimates and strength better than grayscale measures in samples of community-dwelling older adults.",
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