Literature DB >> 20607260

Gender differences in subcutaneous and perirenal fat distribution.

Brian H Eisner1, Javaad Zargooshi, Aaron D Berger, Matthew R Cooperberg, Sean M Doyle, Sonali Sheth, Marshall L Stoller.   

Abstract

PURPOSE: Body mass index (BMI) has been shown to influence the outcome of various surgical procedures. The purpose of this study is to assess the relationship between BMI, gender, and the distribution of subcutaneous and perirenal fat.
METHODS: A retrospective review was performed for 123 patients who underwent radical or partial nephrectomy. Preoperative CT scans were reviewed by two independent observers. Subcutaneous fat was measured at three locations and perirenal fat was measured at six locations. Statistical analysis was performed using the Student's t test and the Pearson's correlation coefficient.
RESULTS: Mean anterior subcutaneous fat was significantly greater in females than in males (2.54 vs. 1.78 cm, p < 0.001) as was mean right posterolateral subcutaneous fat (2.78 vs. 2.21 cm, p = 0.03). With regard to perirenal fat, men were greater than women for all perirenal locations around the left kidney. For the right kidney, men were greater than women for four out of six perirenal positions. In both men and women, BMI was strongly correlated with subcutaneous fat. However, BMI was weakly correlated with perirenal fat.
CONCLUSIONS: Women exceed men in subcutaneous fat, while men exceed women in perirenal fat. Obese patients are very likely to have large amounts of subcutaneous fat, but will not necessarily have proportionally increased fat around their kidneys when compared to the patients with lower BMI. These differences may have important implications for surgical approaches to the kidney.

Entities:  

Mesh:

Year:  2010        PMID: 20607260     DOI: 10.1007/s00276-010-0692-7

Source DB:  PubMed          Journal:  Surg Radiol Anat        ISSN: 0930-1038            Impact factor:   1.246


  8 in total

1.  Shock wave lithotripsy success determined by skin-to-stone distance on computed tomography.

Authors:  Gyan Pareek; Sean P Hedican; Fred T Lee; Stephen Y Nakada
Journal:  Urology       Date:  2005-11       Impact factor: 2.649

2.  Extracorporeal shock wave lithotripsy success based on body mass index and Hounsfield units.

Authors:  Gyan Pareek; Noel A Armenakas; Georgia Panagopoulos; John J Bruno; John A Fracchia
Journal:  Urology       Date:  2005-01       Impact factor: 2.649

Review 3.  Can you be large and not obese? The distinction between body weight, body fat, and abdominal fat in occupational standards.

Authors:  Karl E Friedl
Journal:  Diabetes Technol Ther       Date:  2004-10       Impact factor: 6.118

4.  Laparoscopic radical prostatectomy and body mass index: an assessment of 151 sequential cases.

Authors:  James A Brown; David M Rodin; Benjamin Lee; Douglas M Dahl
Journal:  J Urol       Date:  2005-02       Impact factor: 7.450

5.  Laparoscopic donor nephrectomy: effect of perirenal fat upon donor operative time.

Authors:  Kirk M Anderson; Tekisha U Lindler; Gregory R Lamberton; Pedro W Baron; Okechukwu K Ojogho; D Duane Baldwin
Journal:  J Endourol       Date:  2008-10       Impact factor: 2.942

6.  Sex differences in the relation of visceral adipose tissue accumulation to total body fatness.

Authors:  S Lemieux; D Prud'homme; C Bouchard; A Tremblay; J P Després
Journal:  Am J Clin Nutr       Date:  1993-10       Impact factor: 7.045

Review 7.  Metabolic obesity: the paradox between visceral and subcutaneous fat.

Authors:  Osama Hamdy; Sriurai Porramatikul; Ebaa Al-Ozairi
Journal:  Curr Diabetes Rev       Date:  2006-11

8.  Sex differences in insulin action and body fat distribution in overweight and obese middle-aged and older men and women.

Authors:  Cynthia M Ferrara; Andrew P Goldberg; Barbara J Nicklas; John D Sorkin; Alice S Ryan
Journal:  Appl Physiol Nutr Metab       Date:  2008-08       Impact factor: 2.665

  8 in total
  14 in total

1.  Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy.

Authors:  Zine-Eddine Khene; Benoit Peyronnet; Romain Mathieu; Tarek Fardoun; Grégory Verhoest; Karim Bensalah
Journal:  World J Urol       Date:  2015-02-11       Impact factor: 4.226

2.  Correlation of preoperative imaging characteristics with donor outcomes and operative difficulty in laparoscopic donor nephrectomy.

Authors:  Fides R Schwartz; Brian I Shaw; Reginald Lerebours; Federica Vernuccio; Francesca Rigiroli; Fernando Gonzalez; Sheng Luo; Aparna S Rege; Deepak Vikraman; Lynne Hurwitz-Koweek; Daniele Marin; Kadiyala Ravindra
Journal:  Am J Transplant       Date:  2019-10-23       Impact factor: 8.086

3.  [Anatomical heterogeneity in the proteome of human subcutaneous adipose tissue].

Authors:  G A Martos-Moreno; L Sackmann-Sala; D E Berryman; D W Blome; J Argente; J J Kopchick
Journal:  An Pediatr (Barc)       Date:  2012-11-24       Impact factor: 1.500

4.  Perirenal fat is related to carotid intima-media thickness in children.

Authors:  J Bassols; J-M Martínez-Calcerrada; A Prats-Puig; G Carreras-Badosa; S Xargay-Torrent; E Lizarraga-Mollinedo; M Feliu-Alsina; E Riera-Pérez; I Osiniri; F de Zegher; L Ibáñez; A López-Bermejo
Journal:  Int J Obes (Lond)       Date:  2017-09-25       Impact factor: 5.095

5.  Correlations of the rectus abdominis muscle anatomy with anthropometric measurements.

Authors:  Fabien Fredon; Jérémy Hardy; Mélanie Germain; Emma Vincent-Viry; Abdelkader Taïbi; Jacques Monteil; Christian Mabit; Denis Valleix; Sylvaine Durand-Fontanier
Journal:  Surg Radiol Anat       Date:  2021-01-05       Impact factor: 1.246

6.  Increased perirenal fat area is not associated with adverse outcomes after laparoscopic total mesorectal excision for rectal cancer.

Authors:  Katarina Levic; Orhan Bulut; Mette Schødt; Thue Bisgaard
Journal:  Langenbecks Arch Surg       Date:  2017-11-07       Impact factor: 3.445

7.  Analysis of Factors Influencing Mayo Adhesive Probability Score in Partial Nephrectomy.

Authors:  Chaoyue Ji; Shiying Tang; Kunlin Yang; Gengyan Xiong; Dong Fang; Cuijian Zhang; Xuesong Li; Liqun Zhou
Journal:  Med Sci Monit       Date:  2017-12-20

8.  Perirenal fat thickness measured with computed tomography is a reliable estimate of perirenal fat mass.

Authors:  Guillaume Favre; Caroline Grangeon-Chapon; Charles Raffaelli; Florence François-Chalmin; Antonio Iannelli; Vincent Esnault
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

9.  Gender Differences in Vitamin D Status in China.

Authors:  Xiaoning Yan; Na Zhang; Shenghui Cheng; Zhaolin Wang; Yanhong Qin
Journal:  Med Sci Monit       Date:  2019-09-21

10.  Associations of Perirenal Fat Thickness with Renal and Systemic Calcified Atherosclerosis.

Authors:  Bo Kyung Koo; Julie O Denenberg; C Michael Wright; Michael H Criqui; Matthew A Allison
Journal:  Endocrinol Metab (Seoul)       Date:  2020-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.