scholarly journals Associations of body fat percent and body mass index with childhood asthma by age and gender

Obesity ◽  
2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Panayiotis K. Yiallouros ◽  
Demetris Lamnisos ◽  
Ourania Kolokotroni ◽  
Maria Moustaki ◽  
Nicos Middleton
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Childhood Asthma ◽  
Age And Gender ◽  
Body Fat Percent ◽  
And Gender

Relationship between body mass index and body fat in children—Age and gender differences

2012 ◽  
Vol 6 (2) ◽  
pp. e167-e173 ◽  
Author(s):  
Biljana Srdić ◽  
Borislav Obradović ◽  
Goran Dimitrić ◽  
Edita Stokić ◽  
Siniša S. Babović
Keyword(s):  
Body Mass Index ◽  
Gender Differences ◽  
Body Mass ◽  
Body Fat ◽  
Age And Gender ◽  
Age And Gender Differences ◽  
And Gender

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.

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.

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

scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Spearman Correlation ◽  
Body Fat Percent ◽  
The Relationship

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

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