scholarly journals The need to redefine age- and gender-specific overweight and obese body mass index cutoff points

2015 ◽  
Vol 5 (11) ◽  
pp. e186-e186 ◽  
Author(s):  
A M Nevill ◽  
G S Metsios
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Age And Gender ◽  
Cutoff Points ◽  
And Gender ◽  
Gender Specific ◽  
Body Mass Index Cutoff

Percentile Charts for Body Mass Index of Indian Down Syndrome Children

2021 ◽  
Author(s):  
Harvinder Kaur ◽  
Anil Kumar Bhalla ◽  
Inusha Panigrahi
Keyword(s):  
Body Mass Index ◽  
Down Syndrome ◽  
Body Mass ◽  
Overweight And Obesity ◽  
World Health ◽  
Growth Charts ◽  
Indian Children ◽  
Age And Gender ◽  
And Gender ◽  
Gender Specific

AbstractGrowth charts are used to detect growth impairment, overweight, and obesity among Down syndrome (DS) children belonging to different population groups. Due to nonavailability of similar information, age, and gender specific body mass index (BMI) charts for DS children of Indian origin, based on serial data, have been developed. A total of 752 boys and 373 girls diagnosed as cases of DS at <1 month to 10 years of age enrolled from the “genetic clinic” were followed up in the “growth clinic/growth laboratory” of the institute, following a mixed-longitudinal growth research design. BMI was calculated from body weight and length/height measured at 6-month-age intervals by using standardized techniques and instruments. Age and sex-specific percentile growth charts for BMI were generated for age range <1 month to 10 years by using the LMS method. DS children remained wasted (BMI <3rd percentile) up to 6 months of age; thereafter, BMI increased to exhibit close similarity with their normal Multicentre Growth Reference Study (World Health Organization 2006) and Indian Academy of Pediatrics (2015) counterparts up to 5 to 10 years, respectively. The percentage of obese DS girls (8.76%) outnumbered boys with DS (4.1%). The use of age and gender specific BMI growth charts may be made for comparative purpose, to assess nutritional status of Indian children with DS, to initiate suitable need-based intervention to improve their overall health and for timely institution of target interventions to prevent growth faltering in this vulnerable population.

scholarly journals Age and Gender Specific Thyroid Hormones and Their Relationships with Body Mass Index in a Large Chinese Population: A Clinical Trial

2019 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Qianqian Song ◽  
Xinxin Chen ◽  
Yang Su ◽  
Zhen Xie ◽  
Shu Wang ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Body Mass Index ◽  
Thyroid Hormones ◽  
Body Mass ◽  
Chinese Population ◽  
Age And Gender ◽  
And Gender ◽  
Gender Specific

scholarly journals A Novel Method for Classifying Body Mass Index on the Basis of Speech Signals for Future Clinical Applications: A Pilot Study

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Bum Ju Lee ◽  
Boncho Ku ◽  
Jun-Su Jang ◽  
Jong Yeol Kim
Keyword(s):  
Body Mass Index ◽  
Feature Selection ◽  
Body Mass ◽  
Clinical Applications ◽  
Feature Subset Selection ◽  
Speech Signals ◽  
Feature Subset ◽  
Age And Gender ◽  
And Gender ◽  
Gender Specific

Obesity is a serious public health problem because of the risk factors for diseases and psychological problems. The focus of this study is to diagnose the patient BMI (body mass index) status without weight and height measurements for the use in future clinical applications. In this paper, we first propose a method for classifying the normal and the overweight using only speech signals. Also, we perform a statistical analysis of the features from speech signals. Based on 1830 subjects, the accuracy and AUC (area under the ROC curve) of age- and gender-specific classifications ranged from 60.4 to 73.8% and from 0.628 to 0.738, respectively. We identified several features that were significantly different between normal and overweight subjects (P<0.05). Also, we found compact and discriminatory feature subsets for building models for diagnosing normal or overweight individuals through wrapper-based feature subset selection. Our results showed that predicting BMI status is possible using a combination of speech features, even though significant features are rare and weak in age- and gender-specific groups and that the classification accuracy with feature selection was higher than that without feature selection. Our method has the potential to be used in future clinical applications such as automatic BMI diagnosis in telemedicine or remote healthcare.

scholarly journals Body Mass Index and Helicobacter pylori among Obese and Non-Obese Patients in Najran, Saudi Arabia: A Case-Control Study

2018 ◽  
Vol 15 (11) ◽  
pp. 2586 ◽  
Author(s):  
Ali Al-Zubaidi ◽  
Abdo Alzobydi ◽  
Saeed Alsareii ◽  
AbdulazizTurky Al-Shahrani ◽  
Naweed Alzaman ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Helicobacter Pylori ◽  
Saudi Arabia ◽  
Body Mass ◽  
Upper Endoscopy ◽  
Obese Patients ◽  
Age And Gender ◽  
Total Prevalence ◽  
And Gender ◽  
Saudi Patients

Objective: We examine obese and non-obese patients with respect to Helicobacter pylori (H. pylori) positive-infection (HPPI) and associated factors, specifically body mass index (BMI). Methods: This study took place in the Department of Endoscopy of a central hospital in the Najran region of Saudi Arabia (SA). A total of 340 obese Saudi patients (BMI ≥ 30 kg/m2) who had undergone diagnostic upper endoscopy before sleeve gastrectomy, were compared with 340 age and gender-matched control patients (BMI < 30 kg/m2) who had undergone diagnostic upper endoscopy for other reasons. Data collected included diagnosis of HPPI. Descriptive and multivariable binary logistic regression was conducted. Results: Mean patient age was 31.22 ± 8.10 years, and 65% were males. The total prevalence of HPPI was 58% (95% CI = 54–61%) with obese patients presenting significantly more HPPI than non-obese patients (66% vs. 50%, OR = 1.98, 95% CI = 1.45–2.70, p < 0.0005). Age and gender did not associate significantly with HPPI (p = 0.659, 0.200, respectively) and increases in BMI associated significantly with increases in HPPI (p < 0.0005). BMI remained a significant factor in HPPI when modelled with both age and gender (OR = 1.022, 95% CI = 1.01–1.03, p < 0.0005). Conclusions: Within the limitations of this study, the significance of HPPI in obese Saudi patients residing in the Najran region in SA was demonstrated alongside the significance role of BMI in HPPI.

scholarly journals Making the Objectives of Individuals Sports Body Mass Index, by Age and Gender Analysis

2014 ◽  
Vol 2 (6) ◽  
pp. 255-255
Author(s):  
İbrahim Kubilay TÜRKAY
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Gender Analysis ◽  
Age And Gender ◽  
And Gender

Changes regarding Age and Correlations between Serum Lipids and Body Mass Index in Humankind

2002 ◽  
Vol 41 (03) ◽  
pp. 202-208 ◽  
Author(s):  
I. Yamasawa ◽  
S. Kamohara ◽  
M. Shiota ◽  
T. Komori ◽  
Y. Watanabe ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Serum Lipids ◽  
Density Lipoprotein ◽  
Atherogenic Index ◽  
Health Examination ◽  
Age And Gender ◽  
Gender And Age ◽  
Specialized Care ◽  
And Gender

Summary Objectives: To improve insight into age and gender related distributions of serum lipids and their correlation with body mass index (BMI). Methods: Serum lipids embracing atherogenic index (AI) and BMI were analyzed from the results obtained in 19,823 men and 14,788 women undergoing a health examination between 1986 and 1996. Results: The changes in total cholesterol (TC), triglyceride (TG), AI and BMI differed regarding gender. Although high-density lipoprotein-cholesterol (HDL-C) showed a flat pattern for all ages in both genders, its level in women was higher than in men. The ratio of the number in the unsuitable range to those in the suitable range increased with age as to TC in both sexes, then more than half of the population have an unsuitable level in the sixth decade. As for the correlation between serum lipids and BMI: TC, TG and AI correlated positively, but HDL-C correlated negatively. There were significant gaps between both age and gender. Conclusions: We suggest that the normal range of values of serum lipids needs to be revised according to gender and age to evaluate the risk status for a cardio-cerebrovascular disease more precisely in the field of preventive medicine. Simpler guidelines are preferable in specialized care as well as in general practice, particularly since computer technology is not yet universally adapted. In the near future, when computed information technology will be as common as the electricity and the telephone are current on the whole earth, all guidelines will have to be computed on the spot and personally.

scholarly journals Child Nutritional Status—Alternative Metrics to Body Mass Index

Proceedings ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 33
Author(s):  
E. Rush ◽  
L. Young ◽  
C. Cairncross
Keyword(s):  
Body Mass Index ◽  
Nutritional Status ◽  
Body Mass ◽  
Age And Gender ◽  
Relative Growth ◽  
Under Nutrition ◽  
And Gender ◽  
Child Nutritional Status ◽  
Alternative Metrics

Background: For children, body mass index, adjusted for age and gender is the globally acceptedmeasure of relative growth and risk of over and under-nutrition [...]

375 A Look at Patient Factors Such as Body Mass Index (BMI), Age, and Gender in Achalasia

2019 ◽  
Vol 114 (1) ◽  
pp. S219-S220
Author(s):  
Namisha Thapa ◽  
Justine Hum ◽  
Fouad Otaki ◽  
Sarah Diamond
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Patient Factors ◽  
Age And Gender ◽  
And Gender
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