Movement Velocity as Indicator of Relative Intensity and Level of Effort Attained During the Set in Pull-Up Exercise

2017 ◽  
Vol 12 (10) ◽  
pp. 1378-1384 ◽  
Author(s):  
Miguel Sánchez-Moreno ◽  
David Rodríguez-Rosell ◽  
Fernando Pareja-Blanco ◽  
Ricardo Mora-Custodio ◽  
Juan José González-Badillo

Purpose: To analyze the relationship between movement velocity and relative load (%1RM) in the pull-up exercise (PU) and to determine the pattern of repetition-velocity loss during a single set to failure in pulling one’s own body mass. Methods: Fifty-two men (age = 26.5 ± 3.9 y, body mass = 74.3 ± 7.2 kg) performed a first evaluation (T1) consisting of an 1-repetition-maximum test (1RM) and a test of maximum number of repetitions to failure pulling one’s own body mass (MNR) in the PU exercise. Thirty-nine subjects performed both tests on a second occasion (T2) following 12 wk of training. Results: The authors observed a strong relationship between mean propulsive velocity (MPV) and %1RM (r = −.96). Mean velocity attained with 1RM load (V1RM) was 0.20 ± 0.05 m·s−1, and it influenced the MPV attained with each %1RM. Although 1RM increased by 3.4% from T1 to T2, the relationship between MPV and %1RM, and V1RM, remained stable. The authors also confirmed stability in the V1RM regardless of individual relative strength. The authors found a strong relationship between percentage of velocity loss and percentage of performed repetitions (R2 = .88), which remained stable despite a 15% increase in MNR. Conclusions: Monitoring repetition velocity allows estimation of the %1RM used as soon as the first repetition with a given load is performed, and the number of repetitions remaining in reserve when a given percentage of velocity loss is achieved during a PU exercise set.

1990 ◽  
Vol 151 (1) ◽  
pp. 349-359 ◽  
Author(s):  
F. Geiser ◽  
R. V. Baudinette

1. Rewarming rate from torpor and body mass were inversely related in 86 mammals ranging in body mass between 2 and 8500 g. 2. Most of the mammalian taxa investigated showed a similar change of rewarming rate with body mass. Only the insectivores showed a more pronounced increase in rewarming with a decrease in body mass than did the other taxa. The rates of rewarming of marsupials were similar to those of placentals. 3. At low air temperature (Ta), the rate of rewarming of marsupials was not related to body mass, although a strong relationship between the two variables was observed in the same species at high Ta. 4. The slopes relating rewarming rates and body mass of the mammalian groups and taxa analysed here were similar to those obtained earlier for mass-specific basal metabolic rate (BMR) and body mass in mammals, suggesting that the rate of rewarming and BMR are physiologically linked.


2018 ◽  
Vol 13 (3) ◽  
pp. 353-359 ◽  
Author(s):  
Amador García-Ramos ◽  
Alejandro Torrejón ◽  
Belén Feriche ◽  
Antonio J. Morales-Artacho ◽  
Alejandro Pérez-Castilla ◽  
...  

Purpose: To provide 2 general equations to estimate the maximum possible number of repetitions (XRM) from the mean velocity (MV) of the barbell and the MV associated with a given number of repetitions in reserve, as well as to determine the between-sessions reliability of the MV associated with each XRM. Methods: After determination of the bench-press 1-repetition maximum (1RM; 1.15 ± 0.21 kg/kg body mass), 21 men (age 23.0 ± 2.7 y, body mass 72.7 ± 8.3 kg, body height 1.77 ± 0.07 m) completed 4 sets of as many repetitions as possible against relative loads of 60%1RM, 70%1RM, 80%1RM, and 90%1RM over 2 separate sessions. The different loads were tested in a randomized order with 10 min of rest between them. All repetitions were performed at the maximum intended velocity. Results: Both the general equation to predict the XRM from the fastest MV of the set (CV = 15.8–18.5%) and the general equation to predict MV associated with a given number of repetitions in reserve (CV = 14.6–28.8%) failed to provide data with acceptable between-subjects variability. However, a strong relationship (median r2 = .984) and acceptable reliability (CV < 10% and ICC > .85) were observed between the fastest MV of the set and the XRM when considering individual data. Conclusions: These results indicate that generalized group equations are not acceptable methods for estimating the XRM–MV relationship or the number of repetitions in reserve. When attempting to estimate the XRM–MV relationship, one must use individualized relationships to objectively estimate the exact number of repetitions that can be performed in a training set.


Author(s):  
Hananjassim Hammod ◽  
Thanaa Abdulmahdi Mokif ◽  
Hussein Jasim Al-harbi

Objective: This study aimed to evaluate the relationship between thalassemia disease and body mass index (BMI) and the correlation with blood group of thalassemia patients.Methods: The study includes 260 persons (male+female), 200 persons were thalassemia patient (120 male and 80 female), and 60 healthy persons (30 male and 30 female) as control group; furthermore, people were divided into three group according to age 1–9, 10–19, and >20 years, and BMI and blood group were measured for all patients and healthy people.Results: The results showed that the frequency of thalassemia in male (65%) is higher than in female (40%); as well as, the results showed that the age group (10–19) years is more frequent in male, while in female, the age group (1–9) years is more frequent. The results of BMI revealed a significant decrease (p<0.05) in all groups of thalassemia patients compared with healthy group; as well as, the results of blood group showed that the group (O+) is the more frequent 34% in comparison with the other blood groups.Conclusion: We conclude that there was a strong relationship among gender, blood group (the most common blood group observed is O +ve), and BMI with thalassemia.


2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Luh Dwi Erma Krismawati ◽  
Ni Luh Nopi Andayani ◽  
Nila Wahyuni

Any movement of the body produced by skeletal muscles that requires energy expenditure, and muscle workwhich called physical activities. Increased BMI occurs because of an energy imbalance between food intake with energyreleased to cause the buildup of energy in the form of fat that can lead to obesity or increased BMI.This study purposewas to determine the relationship between physical activities and body mass index (BMI) in adolescents aged 16-18years old in SMA Negeri 2 Denpasar. This research was analytical research with cross sectional approach done inFebruary-March 2018. Sampling was done by Simple Random Sampling. Sample amounted to 70 people. The resultsshowed the relationship between physical activities with body mass index. In the calculation of chi square data analysiscould be seen that significant value (2-tailed) was 0,000 which meant that significant value was p < 0.05. Based on theresults of this study, it can be concluded that there is a strong relationship between physical activities and body massindex (BMI) in adolescents aged 16-18 years old in SMA Negeri 2 Denpasar. Keywords : Physical activity, Body Mass Index (BMI)


Motricidade ◽  
2017 ◽  
Vol 13 (1) ◽  
pp. 1 ◽  
Author(s):  
Mário C. Marques

Intensity during strength training has been commonly identified with relative load (percentage of one-repetition maximum, 1RM) or with performing a given maximal number of repetitions in each set (XRM: 5RM, 10RM, 15 RM, etc.). Yet, none of these methods can be appropriate for precisely monitoring the real training effort in each training session.The first approach requires coaches to individually assess the 1RM value for each athlete. We may agree that expressing intensity as a percentage of the maximum repetition has the advantage that it can be used to program strength training for multiple athletes simultaneously, the loads being later transformed in absolute values (kg) for each individual. Further, another advantage is that this expression of the intensity can clearly reflect the dynamics of the evolution of the training load if we understand the percentage of 1RM as an effort, and not as a simple arithmetic calculus. Nevertheless, direct assessment of 1RM has some possible disadvantages worth noting. It may be associated with risk of injury when performed incorrectly or by novice athlete’s and it is time-consuming and impractical for large groups. Moreover, the actual RM can change quite rapidly after only a few training sessions and often the obtained value is not the subject’s true maximum.The classic way to prescribe loading intensity is to determine, through trial and error, the maximum number of repetitions that one can be performed with a given submaximal weight. For example, 5RM refers to a weight that can only be lifted five times. Some studies identified the relationship between selected percentages of 1RM and the number of repetitions to failure, establishing a repetition maximum continuum. It is believed that certain performance characteristics are best trained using specific RM load ranges. This method eliminates the need for a direct 1RM test, but it is not without drawbacks either. Using exhaustive efforts is common practice in strength training, but increasing evidence (Sanborn et al., 2000; Folland et al., 2002; Izquierdo et al., 2006; Drinkwater et al., 2007) shows that training to repetition failure does not necessarily produce better strength gains and that may even be counterproductive by inducing excessive fatigue, mechanical and metabolic strain (Fry, 2004). In fact, fatigue associated with training to failure not only significantly reduces the force that a muscle can generate, but also the nervous system’s ability to voluntarily activate the muscles (Häkkinen, 1993). Consequently, this approach, besides being very tiring and having shown no advantage over other lower effort types of training, it is unrealistic because it is practically impossible to know exactly how many repetitions can be done with a given absolute load without any initial reference. In addition, if in the first set the subject has completed the maximum number of repetitions, it will be very difficult or even impossible to perform properly the same number of reps in the following sets.Movement velocity is another variable which could be of great interest for monitoring exercise intensity, but surprisingly it has been vaguely mentioned in most studies to date. The importance that monitoring movement velocity for strength training programming have already been noticed in 1991 (González-Badillo, 1991). More recently, González-Badillo and Sánchez-Medina (2010, 2011) studied this hypothesis and confirmed that movement velocity provides as a determinant of the level of effort during resistance training as well as an indicator of the degree of fatigue. Unfortunately, the lack of use of this variable is likely because until recently it was not possible to accurately measure velocity in isoinertial strength training exercises/movements.  Indeed, most research that has addressed movement velocity in strength training was basically conducted using isokinetic apparatus which, unfortunately, is not an ideal or common training practice. The actual velocity performed in each repetition could be the best reference to determine accurately the real metabolic effort for each athlete. The higher the velocity achieved against a given (absolute) load, the greater the intensity with positive consequences for training effect (González Badillo and Ribas, 2002). Therefore, movement velocity should be the main “ingredient” of training intensity. With this approach, instead of a certain amount of weight to be lifted, coaches must be encouraging to prescribe strength training according to two important variables: 1) first repetition’s mean velocity, which is intrinsically related to loading intensity; and 2) a maximum percent velocity loss to be allowed in each set. When this percent loss limit is exceeding the set must be terminated. The limit of repetition velocity loss should be set beforehand depending on the primary training goal being pursued, the particular exercise to be performed as well as the training experience and performance level of each athlete.


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Veronica C. E. Laoh

Abstract: Background. Obesity is the factors that make another disease happen, especially degenerative diseases, Many Anthropometrical methods are used to categorized obesity, and among them which commonly used is body mass index, eventually the limitation of body mass index  is not accurately in special condition. Neck circle is an alternative method  that easy to understand like body mass index because neck circle always related with other degenerative diseases. Purpose: The purpose of this study is to know the relationship between the length of neck circle with obesity in students in Medical Faculty of Sam Ratulangi University. Methods: This Observational study using cross sectional design which will be realized on November 2012 in Medical Faculty of  Sam Ratulangi University. The measuring do with the way that want to know the relationship between obesity body mass index with special provisions, and the measurement of  neck circle length used  measuring tape onemed, and analysis used Spearman correlation experiment test. Results. 111 respondents getting obesity, 73 men with r = 0,561 and p=0,000 and 38 women with r = 0,824 and p = 0,000. It means having strong relationship between to each research subject. Conclusion: There is strong relationship between neck circle length and subject that getting obesity according to 73 men and  38 women in Medical Faculty of Sam Ratulangi University Students. Key Words. Obesity, neck circle length, body mass index, degenerative diseases.    Abstrak: Obesitas merupakan faktor resiko terjadi berbagai macam penyakit termasuk penyakit degeneratif, Berbagai cara antropometri digunakan untuk menentukan obesitas dan yang tersering digunakan yaitu indeks massa tubuh namun keterbatasannya ialah tidak akurat pada kondisi tertentu. Lingkar leher merupakan metode alternatif yang muda seperti indeks massa tubuh dikarenakan lingkar leher sering dikaitkan dengan beberapa penyakit degeneratif. Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan antara lingkar leher dengan obesitas pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Metode: Penelitian observasional dengan desain cross sectional dilaksanakan pada bulan November tahun 2012 di Fakultas Kedokteran Universitas Sam Ratulangi. Pengukuran dilakukan dengan cara mengetahui obesitas dengan metode indeks massa tubuh dengan syarat tertentu dan pemeriksaan lingkar leher dengan menggunakan pita ukur OneMed, analisis menggunakan uji korelasi spearman. Hasil: Sebanyak 111 responden yang mengalami obesitas, pada laki-laki berjumlah 73 orang dengan nilai r = 0,561 dan p sebesar 0,000 dan pada perempuan berjumlah 38 orang  dengan nilai r = 824 dan p sebesar 0,000 yang berarti memiliki hubungan yang kuat pada masing-masing subjek penelitian. Simpulan: Terdapat hubungan antara lingkar leher dan subjek yang mengalami obesitas pada laki-laki yang berjumlah 73 orang dan perempuan yang berjumlah 38 orang dengan jumlah keseluruhan yaitu 111 orang pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Kata kunci: Obesitas, lingkar leher, indeks massa tubuh, penyakit degeneratif.


2017 ◽  
Vol 12 (5) ◽  
pp. 647-652
Author(s):  
Taran L Eckel ◽  
Casey M Watkins ◽  
David C Archer ◽  
Megan A Wong ◽  
Jose A Arevalo ◽  
...  

The bench press and pushup are commonly used for training upper body muscular strength and endurance. Although they are often used interchangeably, differences between the two relative to body mass load are unknown. Furthermore, sex differences may exist due to anthropometric body mass specificity. The purpose of this study was to evaluate the relationship between the pushup and bench press when performing repetitions to failure with an equated load. On day 1, 25 recreationally trained subjects (16 men, age = 23.00 ± 2.36 years, height = 178.19 ± 9.61 cm, mass = 74.80 ± 13.44 kg; 9 women, age = 23.11 ± 2.71 years, height = 160.78 ± 5.95 cm, mass = 53.63 ± 5.60 kg), performed a one repetition maximum bench press and an isometric pushup on a force plate to determine bodyweight load supported in both the up and down positions. Grip width on the bench press was measured as the distance between middle fingers and was used for hand placement during pushups. For the down position, a safety squat device was placed on the right triceps to signal that the upper arms were parallel to the ground, while for the up position, triceps were perpendicular to the floor. Days 2 and 3 consisted of performing repetitions to failure for either the bench press or pushup exercise with a load that was equal to the average relative bodyweight force of the up and down pushup positions. For the pushup, subjects followed a 60 beats per minute tempo and the test was terminated if they failed to complete a full repetition; they could not maintain cadence or there were three faults in form. For the bench press, they followed the same 60 s tempo and the test was terminated if they failed to complete a full repetition or could not maintain cadence. A 2 (exercise: bench press, pushup) × 2 (sex: men, women) mixed factor ANOVA demonstrated no interaction, but there were significant (P < 0.05) main effects for exercise and sex where more repetitions were performed in the pushup (19.36 ± 11.68 reps) than the bench press (11.40 ± 8.38 reps) exercise. Also, men performed significantly more repetitions to failure (men =20.22 ± 8.20 reps, women = 6.78 ± 5.69 reps). For combined sexes, there was a significant (P < 0.05), strong relationship (r = 0.82) between bench press and pushup repetitions to failure. For men, there was a significant (P < 0.05), strong relationship (r = 0.81), while for women, there was a moderate relationship (r = 0.76). Men had significantly (P < 0.05) greater bench press one repetition maximum (men = 99.29 ± 23.98 kg, women = 42.17 ± 8.88 kg), percentage of body mass supported as an average of the up and down positions (men = 74.33 ± 2.57%, women = 69.70 ± 2.63%) and bench press one repetition maximum relative to their body mass (men = 1.32 ± 0.22%, women = 0.79 ± 0.13%). The bench press and pushup are two distinct upper body exercises for repetitions to failure due to upper body musculature and body position sex differences. Choice of the pushup or bench press exercise should be based on training goal and sex.


1981 ◽  
Vol 46 (04) ◽  
pp. 752-756 ◽  
Author(s):  
L Zuckerman ◽  
E Cohen ◽  
J P Vagher ◽  
E Woodward ◽  
J A Caprini

SummaryThrombelastography, although proven as a useful research tool has not been evaluated for its clinical utility against common coagulation laboratory tests. In this study we compare the thrombelastographic measurements with six common tests (the hematocrit, platelet count, fibrinogen, prothrombin time, activated thromboplastin time and fibrin split products). For such comparisons, two samples of subjects were selected, 141 normal volunteers and 121 patients with cancer. The data was subjected to various statistical techniques such as correlation, ANOVA, canonical and discriminant analysis to measure the extent of the correlations between the two sets of variables and their relative strength to detect blood clotting abnormalities. The results indicate that, although there is a strong relationship between the thrombelastographic variables and these common laboratory tests, the thrombelastographic variables contain additional information on the hemostatic process.


1970 ◽  
Vol 25 (1) ◽  
pp. 9-13
Author(s):  
S Jahan ◽  
TR Das ◽  
KB Biswas

Background and Aims: Cord blood leptin may reflect the leptinemic status of a newborn at birth more accurately than the leptin values of blood collected from other sites. The present study was undertaken to determine the relationship of cord serum leptin concentration at birth with neonatal and maternal anthropometric parameters. Materials and Methods: Blood was taken from the umbilical cord of the babies at delivery. Maternal anthropometric measurements were recorded at admission for delivery. Neonatal anthropometric measurements were recorded within 48 hours after delivery. Linear regression analysis was used to explore the relationship between cord serum leptin concentration and anthropometric parameters of the baby and the mother. Both Serum leptin and serum C-peptide levels were measured by chemiluminescence-based ELISA method. Results: The leptin concentration (ng/ml, mean±SD) in cord blood was 39.13±14.44. Cord leptin levels correlated with birth weight (r=0.673, p<0.0001), ponderal index (r=0.732, p<0.0001) but it did not correlate with maternal body mass index, gestational age (r=0.135, p=0.349) at delivery or cord serum C-peptide concentration (r=-0.049, p=0.735) or placental weight (r=0.203, p=0.157). Conclusion: There are associations between cord leptin concentration at delivery and birth weight, ponderal index (PI) of the babies but not body mass index (BMI) of the mothers. High leptin levels of the baby could represent an important feedback modulator of substrate supply and subsequently for adipose tissue status during late gestation. (J Bangladesh Coll Phys Surg 2007; 25 : 9-13)


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