scholarly journals Pericardial fat volume and coronary atherosclerotic markers among body mass index groups

2020 ◽  
Vol 43 (9) ◽  
pp. 993-998
Author(s):  
Mohammed Bader Hassan ◽  
Hussein Nafakhi ◽  
Abdulameer A. Al‐Mosawi
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Pericardial Fat ◽  
Fat Volume

scholarly journals Do body mass index and fat volume influence vocal quality, phonatory range, and aerodynamics in females?

CoDAS ◽  
2013 ◽  
Vol 25 (4) ◽  
pp. 310-318 ◽  
Author(s):  
Ben Barsties ◽  
Rudi Verfaillie ◽  
Nelson Roy ◽  
Youri Maryn
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Body Fat ◽  
Voice Quality ◽  
Normal Weight ◽  
P Values ◽  
Range Profile ◽  
Vocal Quality ◽  
Fat Volume

PURPOSE: To analyze the impact of body weight and body fat volume on selected parameters of vocal quality, phonatory range, and aerodynamics in females. METHODS: Based on measurements of body mass index in combination with body fat volume, 29 normophonic female subjects were classified as normal weight, underweight, and obese. Voice quality was investigated via auditory-perceptual ratings of breathiness, roughness, and overall dysphonia severity, via various acoustic measures and a multiparametric index. Phonatory range performance was examined using selected measures of the voice range profile and speech range profile. Measures of vocally relevant aerodynamics included vital capacity (i.e., VC), expected VC, phonation quotient, and maximum phonation time (i.e., MPT). RESULTS: Significant differences between the three weight groups were found across several measures of intensity, VC, MPT, and shimmer. As compared to the other groups, significantly higher values of maximum and minimum intensity levels, as well as sound pressure level during habitual running speech were observed for the obese group (all p-values<0.05); whereas, the underweight group had significantly lower values for VC and ratio of expected to measured VC (p-values<0.01). Furthermore, underweight subjects differed significantly as compared to normal weight subjects with lower MPT (p=0.025) and higher lowest-F0 (p=0.035). Finally the obese group showed significantly lower shimmer values than the normal weight subjects (p<0.05). CONCLUSION: Body weight and body fat volume appear to influence select objective measures of voice quality, vocal aerodynamics, and phonatory range performance.

Patterns of Superficial Midfacial Fat Volume Distribution Differ by Age and Body Mass Index

2018 ◽  
Vol 43 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Jacob I. Tower ◽  
Kimberly Seifert ◽  
Boris Paskhover
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Volume Distribution ◽  
Fat Volume

scholarly journals Body Mass Index, Fat Volume and Outcome of Laparoscopy-Assisted Distal Gastrectomy

2009 ◽  
Vol 42 (4) ◽  
pp. 442-447
Author(s):  
Taiki Kojima ◽  
Takanori Matsui ◽  
Takanori Uemura ◽  
Yasunobu Fujimitsu ◽  
Shigehiro Kure ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Distal Gastrectomy ◽  
Fat Volume

scholarly journals Trunk fat volume can be a predictor of postoperative complications after gastrectomy: a retrospective cohort study

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shinichiro Shiomi ◽  
Tetsuro Toriumi ◽  
Koichi Yagi ◽  
Raito Asaoka ◽  
Yasuhiro Okumura ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Postoperative Complications ◽  
Lymph Nodes ◽  
Body Mass ◽  
Visceral Fat ◽  
Operative Time ◽  
Proximal Gastrectomy ◽  
Postoperative Outcomes ◽  
Visceral Fat Area ◽  
Fat Volume

Abstract Background Obesity can affect postoperative outcomes of gastrectomy. Visceral fat area is superior to body mass index in predicting postoperative complications. However, visceral fat area measurement is time-consuming and is not optimum for clinical use. Meanwhile, trunk fat volume (TFV) can be easily measured via bioelectrical impedance analysis. Hence, the current study aimed to determine the ability of TFV to predict the occurrence of complications after gastrectomy. Methods We retrospectively reviewed patients who underwent curative gastrectomy for gastric cancer between November 2016 and November 2019. The trunk fat volume-to-the ideal amount (%TFV) ratio was obtained using InBody 770 before surgery. The patients were classified into the obese and nonobese groups according to %TFV (TFV-H group, ≥ 150%; TFV-L group, < 150%) and body mass index (BMI-H group, ≥ 25 kg/m2; BMI-L group, < 25 kg/m2). We compared the short-term postoperative outcomes (e.g., operative time, blood loss volume, number of resected lymph nodes, and duration of hospital stay) between the obese and nonobese patients. Risk factors for complications were assessed using logistic regression analysis. Results In total, 232 patients were included in this study. The TFV-H and BMI-H groups had a significantly longer operative time than the TFV-L (p = 0.022) and BMI-L groups (p = 0.006). Moreover, the TFV-H group had a significantly higher complication rate (p = 0.004) and a lower number of resected lymph nodes (p < 0.001) than the TFV-L group. In the univariate analysis, %TFV ≥ 150, total or proximal gastrectomy, and open gastrectomy were found to be potentially associated with higher complication rates (p < 0.1 for all). Moreover, the multivariate analysis revealed that %TFV ≥ 150 (OR: 2.73; 95% CI: 1.37–5.46; p = 0.005) and total or proximal gastrectomy (OR: 3.57; 95% CI: 1.79–7.12; p < 0.001) were independently correlated with postoperative morbidity. Conclusions %TFV independently affected postoperative complications. Hence, it may be a useful parameter for the evaluation of obesity and a predictor of complications after gastrectomy.

191: Does the Body Mass Index Affect the Outcome Following Reconstruction of Orthotopic Neobladder?

2007 ◽  
Vol 177 (4S) ◽  
pp. 64-64
Author(s):  
Murugesan Manoharan ◽  
Martha A. Reyes ◽  
Alan M. Nieder ◽  
Bruce R. Kava ◽  
MarkS Soloway
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
The Body ◽  
Orthotopic Neobladder

477: Body Mass Index and Impact on PSA Screening and Prostate Cancer Detection in the Plco Trial

2006 ◽  
Vol 175 (4S) ◽  
pp. 155-155
Author(s):  
Robert L. Grubb ◽  
David L. Levin ◽  
Paul F. Pinsky ◽  
Jerome Mabie ◽  
Thomas L. Riley ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Cancer Detection ◽  
Prostate Cancer Detection ◽  
Psa Screening
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