scholarly journals Predictive Validity of Body Mass Index Cutoff Values Used in the Global Leadership Initiative on Malnutrition Criteria for Discriminating Severe and Moderate Malnutrition Based on In‐Patients With Pneumonia in Asians

2020 ◽  
Author(s):  
Akio Shimizu ◽  
Keisuke Maeda ◽  
Hidetaka Wakabayashi ◽  
Shinta Nishioka ◽  
Ayano Nagano ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Predictive Validity ◽  
Global Leadership ◽  
Cutoff Values ◽  
Moderate Malnutrition ◽  
Body Mass Index Cutoff

scholarly journals Optimal cutoff values for anthropometric indices of obesity as discriminators of metabolic abnormalities in Korea: results from a Health Examinees study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sooyoung Cho ◽  
Aesun Shin ◽  
Ji-Yeob Choi ◽  
Sang Min Park ◽  
Daehee Kang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Metabolic Abnormalities ◽  
Height Ratio ◽  
Optimal Cutoff ◽  
Waist To Hip Ratio ◽  
Cutoff Values ◽  
Waist To Height Ratio ◽  
Conicity Index

Abstract Background Obesity is well known as a risk factor for cardiovascular disease. We aimed to determine the performance of and the optimal cutoff values for obesity indices to discriminate the presence of metabolic abnormalities as a primary risk factor for cardiovascular diseases in a Health Examinees study (HEXA). Methods The current study analyzed 134,195 participants with complete anthropometric and laboratory information in a Health Examinees study, consisting of the Korean population aged 40 to 69 years. The presence of metabolic abnormality was defined as having at least one of the following: hypertension, hyperglycemia, or dyslipidemia. The area under the receiver operating characteristic curve (AUC) and 95% confidence intervals (CIs) were calculated for body mass index, waist to hip ratio, waist to height ratio, waist circumference, and conicity index. Results The AUC of metabolic abnormalities was the highest for waist-to-height ratio (AUC [95% CIs], 0.677 [0.672–0.683] among men; 0.691 [0.687–0.694] among women), and the lowest for the C index (0.616 [0.611–0.622] among men; 0.645 [0.641–0.649] among women) among both men and women. The optimal cutoff values were 24.3 kg/m2 for the body mass index, 0.887 for the waist-to-hip ratio, 0.499 for the waist-to-height ratio, 84.4 cm for waist circumference and 1.20 m3/2/kg1/2 for the conicity index among men, and 23.4 kg/m2 for the body mass index, 0.832 for the waist-to-hip ratio, 0.496 for the waist-to-height ratio, 77.0 cm for the waist circumference and 1.18 m3/2/kg1/2 for the conicity index among women. Conclusion The waist-to-height ratio is the best index to discriminate metabolic abnormalities among middle-aged Koreans. The optimal cutoff of obesity indices is lower than the international guidelines for obesity. It would be appropriate to use the indices for abdominal obesity rather than general obesity and to consider a lower level of body mass index and waist circumference than the current guidelines to determine obesity-related health problems in Koreans.

scholarly journals Reference body mass index values and the prevalence of malnutrition according to the Global Leadership Initiative on Malnutrition criteria

2020 ◽  
Vol 39 (1) ◽  
pp. 180-184 ◽  
Author(s):  
Keisuke Maeda ◽  
Yuria Ishida ◽  
Tomoyuki Nonogaki ◽  
Naoharu Mori
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Global Leadership ◽  
Reference Body

scholarly journals Investigating a Potential Limit to Access to Care: Preoperative Cutoff Values for Body Mass Index for Shoulder Arthroplasty

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sundeep Saini ◽  
Olivia Bono ◽  
Lambert Li ◽  
Meghan MacAskill ◽  
Matthew Chilton ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Access To Care ◽  
Body Mass ◽  
Shoulder Arthroplasty ◽  
Cutoff Values

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.

scholarly journals Varying Body Mass Index Cutoff Points to Describe Overweight Prevalence Among U. S. Adults: NHANES III (1988 to 1994)

1997 ◽  
Vol 5 (6) ◽  
pp. 542-548 ◽  
Author(s):  
Robert J. Kuczmarski ◽  
Margaret D. Carroll ◽  
Katherine M. Flegal ◽  
Richard P. Troiano
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Nhanes Iii ◽  
Cutoff Points ◽  
Body Mass Index Cutoff ◽  
Overweight Prevalence
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