Luis Mochizuki

Prof. Dr. Luis Mochizuki

Universidade de São Paulo, São Paulo, Brazil
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2006 in Journal of Applied Biomechanics
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Journal Article
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LMLuis Mochizuki
Luis Mochizuki
MDMarcos Duarte
Marcos Duarte
AAAlberto Carlos Amadio
Alberto Carlos Amadio
VZVladimir M. Zatsiorsky
Vladimir M. Zatsiorsky
MLMark L. Latash
Mark L. Latash
We investigated changes in postural sway and its fractions associated with manipulations of the dimensions of the support area. Nine healthy adults stood as quietly as possible, with their eyes open, on a force plate as well as on 5 boards with reduced support area. The center of pressure (COP) trajectory was computed and decomposed into rambling (Rm) and trembling (Tr) trajectories. Sway components were quantified using RMS (root mean square) value, average velocity, and sway area. During standing on the force plate, the RMS was larger for the anterior-posterior (AP) sway components than for the mediolateral (ML) components. During standing on boards with reduced support area, sway increased in both directions. The increase was more pronounced when standing on boards with a smaller support area. Changes in the larger dimension of the support area also affected sway, but not as much as changes in the smaller dimension. ML instability had larger effects on indices of sway compared to AP instability. The average velocity of Rm was larger while the average velocity of Tr was smaller in the AP direction vs. the ML direction. The findings can be interpreted within the hypothesis of an active search function of postural sway. During standing on boards with reduced support area, increased sway may by itself lead to loss of balance. The findings also corroborate the hypothesis of Duarte and Zatsiorsky that Rm and Tr reveal different postural control mechanisms.

1 January 2012 in Clinics
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Journal Article
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Angelica Castilho alonsoAngelica Castilho alonso
Angelica Castilho alonso
NLNatália Mariana S Luna
Natália Mariana S Luna
LMLuis Mochizuki
Luis Mochizuki
FBFábio Barbieri
Fábio Barbieri
SSSileno Santos
Sileno Santos
JGJulia Maria D’aNdréia Greve
Julia Maria D’aNdréia Greve
The aim of the present study was to evaluate the influence of anthropometric characteristics and gender on postural balance in adults. One hundred individuals were examined (50 males, 50 females; age range 20-40 years). The following body composition measurements were collected (using bone densitometry measurements): fat percentage (% fat), tissue (g), fat (g), lean mass (g), bone mineral content (g), and bone mineral density (g/cm²). In addition, the following anthropometric measurements were collected: body mass (kg), height (cm), length of the trunk-cephalic region (cm), length of the lower limbs (cm) and length of the upper limbs (cm). The following indices were calculated: body mass index (kg/m²), waist-hip ratio and the support base (cm²). Also, a postural balance test was performed using posturography variables with open and closed eyes. The analysis revealed poor correlations between postural balance and the anthropometric variables. A multiple linear regression analysis demonstrated that the whole group (female and male) height explained 12% of the medial-lateral displacement, 10% of the speed of oscillation, and 11% of the displacement area. The length of the trunk-cephalic length explained 6% of the displacement in the anteroposterior direction. With eyes closed, the support base and height explained 18% of the medial displacement, and the lateral height explained 10% of the displacement speed and 5% of the scroll area. Measured using posturography, the postural balance was only slightly influenced by the anthropometric variables, both with open and closed eyes. Height was the anthropometric variable that most influenced postural balance, both in the whole group and separately for each gender. Postural balance was more influenced by anthropometric factors in males than females.

1 June 2011 in Human Movement Science
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Journal Article
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ABAline Bigongiari
Aline Bigongiari
FSFlávia de Andrade e Souza
Flávia de Andrade e Souza
PFPatrícia Martins Franciulli
Patrícia Martins Franciulli
SNSemaan El Razi Neto
Semaan El Razi Neto
RARubens Correa Araujo
Rubens Correa Araujo
LMLuis Mochizuki
Luis Mochizuki

1 October 2009 in Journal of Strength & Conditioning Research
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Journal Article
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ABAllan Brennecke
Allan Brennecke
TGThiago M Guimarães
Thiago M Guimarães
RLRicardo Leone
Ricardo Leone
MCMauro Cadarci
Mauro Cadarci
LMLuis Mochizuki
Luis Mochizuki
Julio Cerca SerraoJulio Cerca Serrao
Julio Cerca Serrao
The purpose of the present study was to investigate the effects of exercise order on the tonic and phasic characteristics of upper-body muscle activity during bench press exercise in trained subjects. The preexhaustion method involves working a muscle or a muscle group combining a single-joint exercise immediately followed by a multi-joint exercise (e.g., flying exercise followed by bench press exercise). Twelve subjects performed 1 set of bench press exercises with and without the preexhaustion method following 2 protocols (P1-flying before bench press; P2-bench press). Both exercises were performed at a load of 10 repetition maximum (10RM). Electromyography (EMG) sampled at 1 kHz was recorded from the pectoralis major (PM), anterior deltoid (DA), and triceps brachii (TB). Kinematic data (60 Hz) were synchronized to define upward and downward phases of exercise. No significant (p > 0.05) changes were seen in tonic control of PM and DA muscles between P1 and P2. However, TB tonic aspect of neurophysiologic behavior of motor units was significantly higher (p < 0.05) during P1. Moreover, phasic control of PM, DA, and TB muscles were not affected (p > 0.05). The kinematic pattern of movement changed as a result of muscular weakness in P1. Angular velocity of the right shoulder performed during the upward phase of the bench press exercise was significantly slower (p < 0.05) during P1. Our results suggest that the strategies set by the central nervous system to provide the performance required by the exercise are held constant throughout the exercise, but the tonic aspects of the central drive are increased so as to adapt to the progressive occurrence of the neuromuscular fatigue. Changes in tonic control as a result of the muscular weakness and fatigue can cause changes in movement techniques. These changes may be related to limited ability to control mechanical loads and mechanical energy transmission to joints and passive structures.

9 October 2013 in Experimental Brain Research
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Journal Article
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ADAlessander Danna-Dos-Santos
Alessander Danna-Dos-Santos
TBTjeerd W. Boonstra
Tjeerd W. Boonstra
ADAdriana M. Degani
Adriana M. Degani
VCVinicius Saura Cardoso
Vinicius Saura Cardoso
AMAlessandra T. Magalhaes
Alessandra T. Magalhaes
CLCharles T. Leonard
Charles T. Leonard

11 October 2015 in BioMed Research International
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Journal Article
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Angelica Castilho alonsoAngelica Castilho alonso
Angelica Castilho alonso
LMLuis Mochizuki
Luis Mochizuki
NLNatália Mariana Silva Luna
Natália Mariana Silva Luna
SASérgio Ayama
Sérgio Ayama
ACAlexandra Carolina Canonica
Alexandra Carolina Canonica
JGJúlia M. D. A. Greve
Júlia M. D. A. Greve
The aim of this study was to evaluate the relation between the sensory and anthropometric variables in the quiet standing.Methods. One hundred individuals (50 men, 50 women; 20–40 years old) participated in this study. For all participants, the body composition (fat tissue, lean mass, bone mineral content, and bone mineral density) and body mass, height, trunk-head length, lower limb length, and upper limb length were measured. The center of pressure was measured during the quiet standing posture, the eyes opened and closed with a force platform. Correlation and regression analysis were run to analyze the relation among body composition, anthropometric data, and postural sway.Results. The correlation analysis showed low relation between postural sway and anthropometric variables. The multiple linear regression analyses showed that the height explained 12% of the mediolateral displacement and 11% of the center of pressure area. The length of the trunk head explained 6% of displacement in the anteroposterior postural sway. During eyes closed condition, the support basis and height explained 18% of mediolateral postural sway.Conclusion. The postural control depends on body composition and dimension. This relation is mediated by the sensory information. The height was the anthropometric variable that most influenced the postural sway.