The Influence of Muscle Fiber Size and Type Distribution on Electromyographic Measures of Back Muscle Fatigability

Mannion, Anne F.; Dumas, Geneviève; Stevenson, Joan M.; Cooper, Robert G.

doi:10.1097/00007632-199803010-00010

Cited by 163 publications

(119 citation statements)

References 38 publications

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“…Further, there are reports of selective atrophy of muscle fibers in patients with LBP. 26,36,37,38,53 Specifically, on biopsy, type II (fast-twitch) fibers atrophy and type I fibers exhibit altered internal structure. Compared with patients without chronic LBP, those with LBP have a higher proportion of type IIB fibers, which are more susceptible to fatigue.…”

Section: Discussionmentioning

confidence: 99%

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Differences in Back Extensor Strength Between Smokers and Nonsmokers With and Without Low Back Pain

Al‐Obaidi¹,

Anthony²,

Al-Shuwai³

et al. 2004

J Orthop Sports Phys Ther

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Study Design: Cross-sectional study comparing isometric lumbar extensor strength (ILES) in individuals who smoke and nonsmokers with and without low back pain (LBP). Objectives: To examine the differences in ILES between individuals who smoke and nonsmokers with and without LBP. Background: Given the evidence for general muscle weakness in individuals who smoke and in individuals with LBP, we were interested in examining the interrelationships between back strength, in particular ILES, and LBP in individuals who smoke and nonsmokers. Methods and Measures:The study involved 76 men (age range, 30-50 years) in 4 groups, namely, nonsmokers with LBP (NS-LBP), a control group of nonsmokers without LBP (NS-C), smokers with LBP (S-LBP), and a control group of smokers without LBP (S-C). ILES was measured at 7 angles of lumbar flexion, specifically 72°, 60°, 48°, 36°, 24°, 12°, and 0°. ANOVA and Scheffe post hoc comparison tests were used to analyze the data. Results: Nonsmokers with LBP had less muscle strength than those without LBP (PϽ.01). However, the strength of smokers with and without LBP was comparable (P Ͼ.05). Both groups of individuals who did not smoke were stronger than the 2 groups comprised of smokers. Conclusions: Individuals who smoke were weaker than those who did not smoke, but no difference in strength was noted between smokers with and without LBP. Although smoking appears to be an important cofactor in the etiology of LBP, the degree to which smoking is a primary, secondary, or a component of a combined etiology warrants further study.

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Section: Discussionmentioning

confidence: 99%

“…28 Other studies have shown evidence of selective paraspinal muscle atrophy in patients with LBP. 27,[35][36][37]44,53 No studies have examined muscle fiber type and distribution specifically in individuals who smoke.…”

mentioning

confidence: 99%

Differences in Back Extensor Strength Between Smokers and Nonsmokers With and Without Low Back Pain

Al‐Obaidi¹,

Anthony²,

Al-Shuwai³

et al. 2004

J Orthop Sports Phys Ther

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“…That is, the MF reflects the behavior of the EMG signal on short-time scales. Several studies have suggested that surface EMG power spectrum analysis could be used to evaluate patients undergoing rehabilitation in a non-invasive fashion (De Luca, 1984;Mannion et al, 1998;Merletti et al, 1999). The connection between fatigue and EMG spectral parameters is the basis for the use of EMG as an objective and noninvasive method of assessment of back muscle endurance (De Luca, 1984;Mannion et al, 1997a).…”

Section: Reliability Of Surface Electromyography Analysismentioning

confidence: 99%

Nonlinear Analysis of Surface Electromyography

Sung¹

2012

EMG Methods for Evaluating Muscle and Nerve Function

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EMG Methods for Evaluating Muscle and Nerve Function 134that the signal must be interpreted as "noise." The noise is due to the interaction between a particular muscle and all other biomechanical "units" of the body. In many cases, the power spectrum follows an algebraic dependence P(f) ~ 1/f. The case =0 corresponds to "white noise" while =2 characterizes diffusive Brownian motion. Therefore, the MF of the EMG power spectrum is sensitive to physiological manifestations of muscular dysfunction as an alternative assessment tool to identify muscle fatigue (Mannion et al., 1997b;Roy et al., 1997). H o w e v e r , t h e r e i s a l a c k o f r e s e a r c h t h a t c o m p a r e s t h i s t o o l w i t h o t h e r n o n l i n e a r measurements based on pain level or dysfunction. During a fatiguing contraction, a compression of the power spectrum of the EMG signal to lower frequencies is typically observed (Lindstrom et al., 1974). This phenomenon is measured during a contraction as a decrease in the MF of the EMG signal. Individuals with better endurance than others exhibit a less precipitous decay rate of the MF (Mannion et al., 1997b). Thus, it would be necessary to compare the results between Shannon entropy levels of the EMG and MF of the spectral quantities following intervention to enhance outcome measurements.Other results indicated that subjects with LBP show less fatigue than healthy subjects (Humphrey et al., 2005;Mannion et al., 2001). Thus, despite considerable efforts by many researchers, a link between MF and musculoskeletal pain/dysfunction remains elusive. Moreover, the surface EMG is not a scientifically acceptable tool for the diagnosis of pain/dysfunction, and further studies are recommended to assess the specificity and sensitivity of surface EMG (Pullman et al., 2000). Therefore, a clinical diagnosis and evaluation of LBP is still elusive, and the efficacy of therapeutic intervention and assessment for LBP cannot be tested reliably. The power spectrum analysis provides an objective and noninvasive assessment of muscle function since EMG changes are associated with fatigue (De Luca, 1984;Mannion et al., 1997a). However, contradictory results have been reported in studies using EMG as an outcome measure. The power spectrum has a limited dynamic range, and the change of the MF does not reflect such long-time correlations. New methods must be designed to capture biologically important characteristics from noisy time series. Researchers using nonlinear time series analysis have developed several mathematical tools to reveal the presence of power-law time correlations. Investigations of physiologic time series have led to the understanding that some degree of noise is necessary for the proper functioning of biological systems (Belair et al., 1995b;Glass, 2001;Strogatz, 2001). These systems must respond to external stimuli that may vary both in strength and time scale by many orders of magnitude. The "degree of irregularity" of time series can be quantified by computing the (information) entropy of...

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“…Assim, durante um levantamento repetitivo, os músculos da coluna fadigada tornam-se menos efetivos na geração de um momento extensor essencial requerido, possibilitando um estresse relativo aos discos intervertebrais e ligamentos e tornando, portanto, as estruturas da coluna susceptíveis à lesão e/ou à dor (MANNION, 1999). Além do mais, a fadiga da musculatura da coluna é acompanhada por uma diminuição do controle do movimento do tronco, por uma alteração na coordenação das atividades musculares e pela perda da estabilidade do tronco (PARNIANPOUR et al, 1988;KENDALL;McCREARY;PROVANCE, 1995 Cabe ressaltar que, segundo Mannion, et al (1997), Mannion, et al (1998), Mannion (1999 e Demoulin et al (2006), o processo de fadiga muscular, notadamente da musculatura extensora da coluna, é diferente entre homens e mulheres, e esta diferença está relacionada a uma variação da morfologia dos tecidos lombares em relação à proporção das fibras tipo 1 e tipo 2 para homens e mulheres. Clark et al (2003) também encontraram em seu estudo diferenças entre homens e mulheres em relação à fadiga da musculatura extensora da coluna lombar, porém para esses autores as diferenças são explicadas devido ao tipo de contração muscular e à quantidade de força gerada.…”

Section: Introductionunclassified

“…De acordo com Mannion et al (1997), Mannion et al (1998) (BORK et al, 1996;SHIMABUKURO et al, 2012). O referido instrumento pode ser um indicativo para comparar a situação encontrada antes e após uma intervenção ergonômica.…”

Section: Introductionunclassified

Fatores do trabalho associados à lombalgia não específica, caracterizada no âmbito da resistência da musculatura extensora lombar, entre trabalhadores de enfermagem de Unidades de Terapia Intensiva

Petersen¹

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The Influence of Muscle Fiber Size and Type Distribution on Electromyographic Measures of Back Muscle Fatigability

Cited by 163 publications

References 38 publications

Differences in Back Extensor Strength Between Smokers and Nonsmokers With and Without Low Back Pain

Differences in Back Extensor Strength Between Smokers and Nonsmokers With and Without Low Back Pain

Nonlinear Analysis of Surface Electromyography

Fatores do trabalho associados à lombalgia não específica, caracterizada no âmbito da resistência da musculatura extensora lombar, entre trabalhadores de enfermagem de Unidades de Terapia Intensiva

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