scholarly journals Value of visceral fat area in normal body mass index (BMI) patients is a predictive factor for peritoneal metastasis in gastric cancer: A prospective study

2020 ◽  
Author(s):  
Chenchen Mao ◽  
Mingming Shi ◽  
Hui Chen ◽  
Libin Xu ◽  
He Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Peritoneal Metastasis ◽  
Visceral Fat ◽  
Visceral Fat Area ◽  
Cutoff Values ◽  
High Bmi

Abstract Background Although peritoneal metastasis (PM) is associated with poor prognosis in gastric cancer (GC) patients, it is difficult to discriminate preoperatively. Our previous study has demonstrated visceral fat area (VFA) is a better obesity index than body mass index (BMI) in predicting abdominal metastasis. Aim This study aimed to further explore the relationship between obesity and PM. Methods VFA was retrieved for 859 consecutive patients undergoing radical gastrectomy between January 1, 2009 and December 31, 2013. A receiver operating characteristic curve analysis was used to determine the BMI-specific cutoff values for VFA. Univariate and multivariate analyses evaluating the risk factors for PM at different BMI levels were performed. Results The optimal cutoff values for VFA were 67.28, 88.03, and 175.32 cm 2 for low, normal, and high BMI patients, respectively, and 18 (15.52%), 220 (40.15%), and 61 (31.28%) patients were classified as having high VFA in each group. Univariate logistic regression revealed that the association between high VFA and PM was not dependent on BMI (odds ratio [OR]=9.048, P=0.007 for low BMI, OR=3.827, P<0.001 for normal BMI, and OR=2.460, P=0.049 for high BMI). In multivariate logistic regression analysis, high VFA (OR=3.816, P<0.001) and vascular invasion (OR=1.951, P=0.039) were independent risk factors for PM only in the normal BMI group. Conclusions VFA only effectively predicted PM for GC patients with normal BMI, rather than those with low and high BMI. More attentions should be paid to those GC patients with high VFA and normal BMI.

Visceral fat area is superior to body mass index as a predictive factor for risk with laparoscopy-assisted gastrectomy for gastric cancer

2011 ◽  
Vol 25 (12) ◽  
pp. 3825-3830 ◽  
Author(s):  
Kozo Yoshikawa ◽  
Mitsuo Shimada ◽  
Nobuhiro Kurita ◽  
Takashi Iwata ◽  
Masanori Nishioka ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Predictive Factor ◽  
Visceral Fat ◽  
Visceral Fat Area

Short-Term Outcomes Following Removal of Infected Hernia Mesh

2021 ◽  
pp. 000313482110241
Author(s):  
Christine Tung ◽  
Junko Ozao-Choy ◽  
Dennis Y. Kim ◽  
Christian de Virgilio ◽  
Ashkan Moazzez
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Body Mass ◽  
Smoking History ◽  
Multivariate Logistic Regression ◽  
Short Term ◽  
Mesh Removal ◽  
Mesh Placement ◽  
Infected Mesh

There are limited studies regarding outcomes of replacing an infected mesh with another mesh. We reviewed short-term outcomes following infected mesh removal and whether placement of new mesh is associated with worse outcomes. Patients who underwent hernia repair with infected mesh removal were identified from 2005 to 2018 American College of Surgeons-National Surgical Quality Improvement Program database. They were divided into new mesh (Mesh+) or no mesh (Mesh-) groups. Bivariate and multivariate logistic regression analyses were used to compare morbidity between the two groups and to identify associated risk factors. Of 1660 patients, 49.3% received new mesh, with higher morbidity in the Mesh+ (35.9% vs. 30.3%; P = .016), but without higher rates of surgical site infection (SSI) (21.3% vs. 19.7%; P = .465). Mesh+ had higher rates of acute kidney injury (1.3% vs. .4%; P = .028), UTI (3.1% vs. 1.3%, P = .014), ventilator dependence (4.9% vs. 2.4%; P = .006), and longer LOS (8.6 vs. 7 days, P < .001). Multivariate logistic regression showed new mesh placement (OR: 1.41; 95% CI: 1.07-1.85; P = .014), body mass index (OR: 1.02; 95% CI: 1.00-1.03; P = .022), and smoking (OR: 1.43; 95% CI: 1.05-1.95; P = .025) as risk factors independently associated with increased morbidity. New mesh placement at time of infected mesh removal is associated with increased morbidity but not with SSI. Body mass index and smoking history continue to contribute to postoperative morbidity during subsequent operations for complications.

scholarly journals Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-To-Hip Ratio with Cognitive Function in Western China: Results from A WCHAT Study

2021 ◽  
Author(s):  
Xiaolei Liu ◽  
Xiaoyan Chen ◽  
Lisha Hou ◽  
Xin Xia ◽  
Fengjuan Hu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Cognitive Performance ◽  
Body Mass ◽  
Visceral Fat ◽  
Cognitive Abilities ◽  
Strong Association ◽  
Western China ◽  
Visceral Fat Area ◽  
Waist To Hip Ratio

Abstract ObjectivesThis study examined the relationship between cognitive performance and obesity parameters, such as body mass index (BMI), visceral fat area (VFA), waist circumference (WC), and waist-to-hip ratio (WHR) in western China.Study designA cross-sectional studyMethods3914 participants, aged >50 years, were recruited in this study. Anthropometrics measurements, life-style factors, chronic disease comorbidities, and sleep qualities were recorded for each participant. Among the anthropometrics, BMP, WC, and WHR were assessed using standard procedures, while VHA was calculated using bioelectrical impedance analysis. Cognitive performance was estimated using the Short Portable Mental Status Questionnaire (SPMSQ). Finally, relationships between cognitive abilities and BMI, VFA, WC, and WHR were evaluated using univariate and multivariate regression analyses. ResultsCognitive decline (CD) occurred at a rate of 13.29% among the 3914 participants. A strong correlation was observed between cognitive abilities and BMI of male patients aged 50-59 yrs (OR 1.116,95% CI1.002-1.242), in the adjusted model. Alternately, WHR was shown to be significantly related to CD in females aged >70 years (OR 0.041, 95% CI0.002-0.671). WC was shown to have a strong association with CD in males (OR 1.023,95% CI1.003-1.024). Lastly, WHR was closely connected to CD in participants with BMI < 25 kg/m2 (OR 0.022,95% CI0.002-0.209).Conclusions Our findings suggest that a higher middle age BMI is associated with CD, whereas, in the elderly population, a higher WHR is related to improved cognitive performance. Further investigation is warranted to elucidate a relationship between VFA and CD.

scholarly journals Estimated and projected burden of multiple sclerosis attributable to smoking and childhood and adolescent high body-mass index: a comparative risk assessment

2020 ◽  
Author(s):  
Julia Pakpoor ◽  
Klaus Schmierer ◽  
Jack Cuzick ◽  
Gavin Giovannoni ◽  
Ruth Dobson
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Life ◽  
Time Lag ◽  
Early Adulthood ◽  
High Body Mass Index ◽  
High Body ◽  
High Bmi

Abstract Background Smoking and childhood and adolescent high body-mass index (BMI) are leading lifestyle-related risk factors of global premature morbidity and mortality, and have been associated with an increased risk of developing multiple sclerosis (MS). This study aims to estimate and project the proportion of MS incidence that could be prevented with elimination of these risk factors. Methods Prevalence estimates of high BMI during childhood/adolescence and smoking in early adulthood, and relative risks of MS, were obtained from published literature. A time-lag of 10 years was assumed between smoking in early adulthood and MS incidence, and a time-lag of 20 years was assumed between childhood/adolescent high BMI and MS incidence. The MS population attributable fractions (PAFs) of smoking and high BMI were estimated as individual and combined risk factors, by age, country and sex in 2015, 2025 and 2035 where feasible. Results The combined estimated PAFs for smoking and high BMI in 2015 were 14, 11, 12 and 12% for the UK, USA, Russia and Australia in a conservative estimate, and 21, 20, 19 and 16% in an independent estimate, respectively. Estimates for smoking are declining over time, whereas estimates for high early life BMI are rising. The PAF for high early life BMI is highest in the USA and is estimated to increase to 14% by 2035. Conclusions Assuming causality, there is the potential to substantially reduce MS incidence with the elimination of lifestyle-related modifiable risk factors, which are the target of global public health prevention strategies.

scholarly journals Visceral fat area, not body mass index, predicts postoperative 30-day morbidity in patients undergoing colon resection for cancer

2018 ◽  
Vol 33 (8) ◽  
pp. 1019-1028 ◽  
Author(s):  
Benjamin A. Kuritzkes ◽  
Emmanouil P. Pappou ◽  
Ravi P. Kiran ◽  
Onur Baser ◽  
Liqiong Fan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Visceral Fat ◽  
Colon Resection ◽  
Visceral Fat Area

Temporal trend of early pregnancy high body mass index in Australian women: risk factors and outcomes

2021 ◽  
Vol 29 (1) ◽  
pp. 10-18
Author(s):  
Marjan Khajehei ◽  
Hassan Assareh
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Pregnancy ◽  
High Body Mass Index ◽  
Tertiary Hospital ◽  
Reproductive Age ◽  
Smoking During Pregnancy ◽  
High Body ◽  
High Bmi

Background There is a shift toward the increasing weight gain among women of reproductive age. Aim To assess changes in the prevalence of high body mass index (BMI) (including both overweight and obese) in early pregnancy in Australian women, and its risk factors and association with selected birth outcomes from 2011–2017. Methods Records of pregnant women who received antenatal care and gave birth at an Australian tertiary hospital during 2011–2017 were evaluated and trends of high BMI were investigated. Results The risk of high BMI at early pregnancy increased by 3% annually and rose from 37% in 2011 to 44% in 2017. The risk of high BMI was greater in women who were more than 35 years old, multiparous, were smoking during pregnancy, and who had neurological disorders. High maternal BMI was associated with greater risks of having assisted conception, caesarean section and larger neonate. Conclusion The rate of high BMI in early pregnancy increased between 2011–2017.

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