scholarly journals Body Composition Analyzer Based on PGNAA Method

Author(s):  
Hamed Panjeh ◽  
Reza Izadi-Najafabadi
2013 ◽  
Vol 680 ◽  
pp. 602-605
Author(s):  
Chang Tsang Yeh ◽  
Shu Cheng Lin ◽  
Hung Tai Lin ◽  
Hsuan Chun Tsai ◽  
Ho Cheng Cheng

There are several problems after post-menopausal and higher age in the female. It may affect their physiological results, especially in the changes of their body composition. Older adults change their skeletal muscle weight when they are aging. But what differences their skeletal muscle weight change is still unknown. There is little previous research. Therefore, the purpose of this study was to investigate skeletal muscle weight change on female older adult. Methods: 48 women aged 41-80 years old were randomly selected and divided into four different age groups: 41-50 y (14 persons, abbreviated as number), 51-60 y (12), 61-70 y (12) and 71-80 y (10). All subjects’ body compositions were measured. Body composition analysis was conducted using the In Body 220 body composition analyzer. Data analysis was conducted using the SPSS statistical software for Windows 15.0. Independent one-way ANOVA was used as the statistical method at a significance level (α) of .05, followed by the Scheffé’s method to account for multiple comparisons. Results: Statistical analyses show that means of 4 skeletal muscle weight groups was 22.27±2.12(kg), 21.41±2.12(kg), 21.16±2.25(kg), 16.64±1.98(kg), there is significant differences in between 41-50y, 51-60y, 61-70y and 70-80 y group (Scheffé:41-70 y>70-80 y). Conclusions: This research conclusion is that the skeletal muscle weight were similar from 41 years old to 70 years old in female older adult. But after 71 years old the skeletal muscle weight aging quickly.


2006 ◽  
Vol 22 (5) ◽  
pp. 207-210 ◽  
Author(s):  
Machiko Okamoto ◽  
Mitsumine Fukui ◽  
Atsushi Kurusu ◽  
Ichiyu Shou ◽  
Kunimi Maeda ◽  
...  

2017 ◽  
Vol 25 (2) ◽  
pp. 126
Author(s):  
Zohreh Bartani ◽  
Behzad Heydarpour ◽  
Ahmad Alijani ◽  
Masoud Sadeghi

Author(s):  
Nehal Satra ◽  
Rupali Sengupta

Aims: To study the effect of sleep patterns on body fat mass of school going children (8-10-year-old) in Mumbai city. Study Design: Body fat mass was analyzed using Inbody 120 body composition analyzer. Total 388 subjects were selected for the study. Place and Duration of Study: The period required to carry out study was from November 2018 to March 2019. 388 subjects (male and female) participated from public to private schools in Mumbai city for the study. Methodology: Total 388 subjects (male and female) participated from 5 schools ranging from public to private school were selected from Mumbai city, (Maharashtra, India). Inbody 120 body composition analyzer was used to assess body fat for the subjects. SPSS version 20 was used for data analysis. Results: A positive correlation was observed between wakeup timings and body fat mass at p≤0.05 (0.00). However, the habit of snoring showed highly significant difference at p≤0.05 for body fat mass (0.00) and fat free mass (0.00). Conclusion: It was concluded that sleep patterns had a significant impact on body fat mass. Therefore, the sleep timings and wakeup timings need to be observed for the children in their growing age as it may have deep impact on child’s body type.


2020 ◽  
Vol 185 (7-8) ◽  
pp. e1128-e1133
Author(s):  
Jerzy Bertrandt ◽  
Ewa Szarska ◽  
Roman Łakomy ◽  
Tomasz Lepionka ◽  
Anna Anyżewska ◽  
...  

Abstract Introduction Injuries are the most significant health problem of military services. Military medical surveillance data are useful for determining the magnitude and causes of the injury problem, identifying possible prevention targets and monitoring trends among military personnel. Soldiers serving in the Polish Armed Forces took part in the research. The aim of the study was to identify the most common injuries of the musculoskeletal system and to analyze causes of injuries. An additional goal was to examine whether there is a relationship between selected values of body composition indexes, the result of the functional movement screen (FMS) test and occurrence of an injury. Material and Methods The Polish Armed Forces soldiers serving in the land forces, military police, air forces took part in the research. The first stage was to complete the questionnaire regarding injuries in the last 5 years, their reasons, and the circumstances of their occurrence. After completing the survey, subjects were measured and weighed on the body composition analyzer. The next step was to perform a FMS to evaluate the locomotor system. Results In the groups of examined Polish soldiers, the most frequent injuries concerned lower limbs and, above all, a knee joint. The leading causes of injuries were activities resulting from the service as well as playing football and volleyball. Conclusions Parameters from the body composition analyzer such as body mass index, muscle mass distribution on lower limbs as well as evaluation in the FMS test may be helpful for the initial assessment of predisposition to injury.


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