scholarly journals Innovative Design of Household Body Composition Analyzer Based on INPD and QFD

2020 ◽  
Vol 926 ◽  
pp. 012036
Author(s):  
Jia-Mei Huan ◽  
Chen Yang ◽  
Luo Fei
Keyword(s):  
Body Composition ◽  
Innovative Design ◽  
Composition Analyzer

The Study of Skeletal Muscle Weight Change on Female Elder Adults

2013 ◽  
Vol 680 ◽  
pp. 602-605
Author(s):  
Chang Tsang Yeh ◽  
Shu Cheng Lin ◽  
Hung Tai Lin ◽  
Hsuan Chun Tsai ◽  
Ho Cheng Cheng
Keyword(s):  
Skeletal Muscle ◽  
Body Composition ◽  
Older Adult ◽  
Weight Change ◽  
Age Groups ◽  
Composition Analysis ◽  
Muscle Weight ◽  
Significance Level ◽  
Composition Analyzer ◽  
Post Menopausal

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.

scholarly journals Usefulness of a Body Composition Analyzer, InBody 2.0, in Chronic Hemodialysis Patients

2006 ◽  
Vol 22 (5) ◽  
pp. 207-210 ◽  
Author(s):  
Machiko Okamoto ◽  
Mitsumine Fukui ◽  
Atsushi Kurusu ◽  
Ichiyu Shou ◽  
Kunimi Maeda ◽  
...  
Keyword(s):  
Body Composition ◽  
Hemodialysis Patients ◽  
Chronic Hemodialysis ◽  
Composition Analyzer

scholarly journals The Relationship Between Nephrolithiasis Risk with Body Fat Measured by Body Composition Analyzer in Obese Peopale

2017 ◽  
Vol 25 (2) ◽  
pp. 126
Author(s):  
Zohreh Bartani ◽  
Behzad Heydarpour ◽  
Ahmad Alijani ◽  
Masoud Sadeghi
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Composition Analyzer ◽  
The Relationship

scholarly journals An Attempt to Utilize the Body Composition Analyzer and the Functional Movement Screen (FMS) Test to Determine Injury Risk in Soldiers

2020 ◽  
Vol 185 (7-8) ◽  
pp. e1128-e1133
Author(s):  
Jerzy Bertrandt ◽  
Ewa Szarska ◽  
Roman Łakomy ◽  
Tomasz Lepionka ◽  
Anna Anyżewska ◽  
...  
Keyword(s):  
Body Composition ◽  
Injury Risk ◽  
Armed Forces ◽  
The Body ◽  
Lower Limbs ◽  
Initial Assessment ◽  
Functional Movement Screen ◽  
Medical Surveillance ◽  
Functional Movement ◽  
Composition Analyzer

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.

FA08.03: PREOPERATIVE SARCOPENIA INFLUENCES THE RISK OF POSTOPERATIVE PNEUMONIA IN PATIENTS WITH ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 15-16
Author(s):  
Tatsuro Tamura ◽  
Katsunobu Sakurai ◽  
Takahiro Toyokawa ◽  
Naoshi Kubo ◽  
Ryosuke Amano ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Body Composition ◽  
Multivariate Analysis ◽  
Muscle Mass ◽  
Univariate Analysis ◽  
Postoperative Pneumonia ◽  
Perioperative Outcomes ◽  
Lower Body ◽  
Significant Difference ◽  
Composition Analyzer

Abstract Background Exact measurement of muscle mass is enabled by body composition analyzer, and it is reported that a body composition affects the perioperative outcomes. In this study, we investigated the relationship between depletion of preoperative muscle mass (sarcopenia) and postoperative outcomes in patients with esophageal cancer treated esophagectomy. Methods A total 58 esophageal cancer patients who underwent esophagectomy between January 2014 and January 2018 were enrolled. Preoperative muscle mass was evaluated by InBody-3.0 and S-10 which is body composition analyzer and expressed as muscle mass index; MMI (kg/m2) by dividing the muscle mass by the height in meters squared. The cut off values of MMI were the gender-specific lowest 20%, and we defined low MMI as sarcopenia. Postoperative complications were graded according to the Clavien-Dindo classification, univariate and multivariate analysis were performed for postoperative pneumonia. About the pneumonia, we defined that invasive shadow was observed by X-ray or CT and bacteria detected by sputum culture. Results By the definition of sarcopenia in this study, sarcopenia was determined in 11 patients (19%). Sarcopenia was significantly correlated with lower body weight (P < 0.001), lower body mass index (P < 0.001), the VC% (P = 0.0178). In other factors, there is no significant difference between sarcopenia and non-sarcopenia groups. Compared with non-sarcopenic patients, sarcopenic patients had a higher risk of postoperative pneumonia and chylothorax (P = 0.0144 and P = 0.0105). For other complications, the differences were not significant. In univariate analysis, sarcopenia (P = 0.0144), hypoalbuminemia (P = 0.0236), operative blood loss (P = 0.0436) were associated with postoperative pneumonia. Multivariate analysis revealed that sarcopenia (P < 0.001) and longer operation time (P = 0.0354) were independent predictors of postoperative pneumonia. Conclusion Preoperative sarcopenia was identified as independent risk factor for postoperative pneumonia after esophagectomy. Preoperative nutrition and rehabilitation therapy may contribute to the prevention of pneumonia after surgery. Disclosure All authors have declared no conflicts of interest.

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