Gill and Body Surface Areas of the Carp in relation to Body Mass, With Special Reference To The Metabolism-Size Relationship

1985 ◽  
Vol 117 (1) ◽  
pp. 1-14 ◽  
Author(s):  
SHIN OIKAWA ◽  
YASUO ITAZAWA

The relationships of resting metabolism per unit mass of body to gill and body surface areas were examined by measuring gill, body surface and fin areas of carp ranging from 0.0016 to 2250g. There was a triphasic allometry for the relationship between gill area and body mass: during the prelarval (0.0016–0.003 g) and postlarval (0.003–0.2g) stages there was a positive allometry (slopes of 7.066 and 1.222, respectively), during the juvenile and later stages (0.2–2250 g) there was a negative allometry with a slope of 0.794. There was a diphasic negative allometry for the relationship between surface area of the body or the fins and body mass, with a slope of 0.596 or 0.523 during the larval stage and 0.664 or 0.724 during the juvenile and later stages, respectively. Except for the 3rd phase (juvenile to adult) of gill area, these slopes were significantly different (P<0.01) from the slope for the relationship between resting metabolism and body mass of intact carp (0.84; value from Winberg, 1956). It is considered, therefore, that gill, body surface and fin areas do not directly regulate the resting metabolism of the fish, in the larval stage at least.

Author(s):  
Shirazu I. ◽  
Theophilus. A. Sackey ◽  
Elvis K. Tiburu ◽  
Mensah Y. B. ◽  
Forson A.

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Justyna Wyszyńska ◽  
Justyna Podgórska-Bednarz ◽  
Justyna Drzał-Grabiec ◽  
Maciej Rachwał ◽  
Joanna Baran ◽  
...  

Introduction. Excessive body mass in turn may contribute to the development of many health disorders including disorders of musculoskeletal system, which still develops intensively at that time.Aim. The aim of this study was to assess the relationship between children’s body mass composition and body posture. The relationship between physical activity level of children and the parameters characterizing their posture was also evaluated.Material and Methods. 120 school age children between 11 and 13 years were enrolled in the study, including 61 girls and 59 boys. Each study participant had the posture evaluated with the photogrammetric method using the projection moiré phenomenon. Moreover, body mass composition and the level of physical activity were evaluated.Results. Children with the lowest content of muscle tissue showed the highest difference in the height of the inferior angles of the scapulas in the coronal plane. Children with excessive body fat had less slope of the thoracic-lumbar spine, greater difference in the depth of the inferior angles of the scapula, and greater angle of the shoulder line. The individuals with higher level of physical activity have a smaller angle of body inclination.Conclusion. The content of muscle tissue, adipose tissue, and physical activity level determines the variability of the parameter characterizing the body posture.


2002 ◽  
Vol 21 (2) ◽  
pp. 87-100 ◽  
Author(s):  
Yukio Takahashi ◽  
Kazuo Kanada ◽  
Yoshiharu Yonekawa

Human body surface vibration induced by low-frequency noise was measured at the forehead, the chest and the abdomen. At the same time, subjects rated their vibratory sensation at each of these locations. The relationship between the measured vibration on the body surface and the rated vibratory sensation was examined, revealing that the vibratory sensations perceived in the chest and abdomen correlated closely with the vibration acceleration levels of the body surface vibration. This suggested that a person exposed to low-frequency noise perceives vibration at the chest or abdomen by sensing the mechanical vibration that the noise induces in the body. At the head, on the other hand, it was found that the vibratory sensation correlated comparably with the vibration acceleration level of the body surface vibration and the sound pressure level of the noise stimulus. This finding suggested that the mechanism of perception of vibration in the head is different from that of the perception of vibratory sensation in the chest and the abdomen.


2007 ◽  
Vol 135 (9-10) ◽  
pp. 541-546
Author(s):  
Vesna Miranovic

Introduction Ventricular septal defect (VSD) is an opening in the interventricular septum. 30-50% of patients with congenital heart disease have VSD. Objective The aim of the study was to determine the dependence of the left ventricular diastolic dimension (LVD), left ventricular systolic dimension (LVS), shortening fraction (SF), left atrium (LA), pulmonary artery truncus (TPA) on the body surface and compare their values among experimental, control and a group of healthy children. Values of maximal systolic gradient pressure (Pvsd) of VSD were compared with children from one experimental and control group. Method Children were divided into three groups: experimental (32 children with VSD that were to go to surgery), control (20 children with VSD who did not require surgery) and 40 healthy children. Measurements of LVD, LVS, SF, LA, TPA were performed in accordance to recommendations of the American Echocardiographic Association. The value of Pvsd was calculated from the maximal flow velocity (V) in VSD using the following formula: Pvsd=4xV? (mm Hg). Results For children from the experimental group, the relationship between the body surface and the variability of the LVD was explained with 56.85%, LVS with 66.15%, SF with 4.9%, TPA with 58.92%. For children from the control group, the relationship between the body surface and the variability of LVD was explained with 88.8%, LVS with 72.5%, SF with 0.42%, PA with 58.92%. For healthy children, the relationship between the body surface and the variabilitiy of the LVD was explained with 88.8%, LVS with 88.78%, SF with 5.25% and PA with 84.75%. There was a significant statistical difference between average values of Pvsd in the experimental and control group (p<0.02). Conclusion The presence of the large VSD has an influence on the enlargement of LVD, LVS, SF, TPA. The enlargement of the size of the pulmonary artery depends on the presence of VSD and there is a direct variation in the magnitude of the shunt. There is a relationship and significant dependence of the LVS and LVD on the body surface. There is no statistically significant dependence between SF and body surface.


Author(s):  
Andri Wibowo

Astragalus bone is one of the most important fossil records as it can reconstruct the prehistoric life. Respectively, this study aims to model the body mass, habitat preference, and population density of prehistoric bovid Duboisia santeng (Dubois 1891) in eastern Java island in the early Pleistocene. The astragali from 9 specimens were used to estimate the body mass and population density. Likewise regression models are used to analyze the relationship between astragalus lateral length, width, and body mass compared to the astragalus of extant Bovid species. The result revealed the body mass average was 60.3 kg (95%CI: 58.9-61.7) and this indicates the D. santeng belongs to large herbivores. While the population density was estimated at about 5.39 individuals per km2 (95% CI: 3.18-7.6).


2005 ◽  
Vol 13 (2) ◽  
pp. 114-119 ◽  
Author(s):  
Gracieli Prado Elias ◽  
Cristina Antoniali ◽  
Ronaldo Célio Mariano

The present study was conducted to evaluate the utilization of Clark's, Salisbury and Penna's rules and the Body Surface Area (BSA) formula for calculation of pediatric drug dosage, as well as their reliability and viability in the clinical use. These rules are frequently cited in the literature, but much controversy still exists with regards to their use. The pediatric drug dosage was calculated by utilization of the aforementioned rules and using the drugs Paracetamol, Dipyrone, Diclofenac Potassium, Nimesulide, Amoxicillin and Erythromycin, widely employed in Pediatric Dentistry. Weight and body surface areas were considered of children with ages between 1 and 12 years old as well as the dosage for the adult. The pediatric dosages achieved were compared to the predetermined dosages in mg kg-1 herein-named standard dosages. The results were submitted to the parametric test ANOVA and to the Tukey test (p<0,05). The antibiotics and Diclofenac provides acceptable utilization of the rules in pediatric dentistry, however for the Dipyrone, the dosages obtained by the rules suggest their clinical ineffectiveness. For the Paracetamol, the Penna's rule and the BSA formula should not be clinically employed, especially for children between 1 and 5 years old, once such dosages were much close to the hepatotoxic dosage of the drug. It can be concluded that the use of the rules for safe calculation of the pediatric drug dosage is possible and it depends on the used drug and age group.


PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz

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