scholarly journals Joint Estimation Of Markov Chain Transition Probabilities Using Survival Models And Constrained Optimization: A Case Study On Diabetes And Mortality And Their Association With Body Mass Index, Age, And Gender

2015 ◽  
Vol 18 (3) ◽  
pp. A19-A20
Author(s):  
S. Wu ◽  
J. Li ◽  
N.P. Carlsson ◽  
M.Y. Leung ◽  
G.A. Colditz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Markov Chain ◽  
Constrained Optimization ◽  
Body Mass ◽  
Transition Probabilities ◽  
Joint Estimation ◽  
Survival Models ◽  
Age And Gender ◽  
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 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

O-007: Low Body Mass Index as predictor of hip fracture differs by age and gender in Cohort Norway. A NOREPOS study

2015 ◽  
Vol 6 ◽  
pp. S7
Author(s):  
A.J. Søgaard ◽  
T.K. Omsland ◽  
K. Holvik ◽  
G.S. Tell ◽  
C. Dahl ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Hip Fracture ◽  
Body Mass ◽  
Age And Gender ◽  
Low Body Mass Index ◽  
And Gender

scholarly journals Body mass index profile among school children: an anthropometric study

2019 ◽  
Vol 6 (9) ◽  
pp. 3820
Author(s):  
S. Mahalakshmi ◽  
M. J. Abirami
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
School Children ◽  
Well Being ◽  
National Standards ◽  
National Standard ◽  
World Health ◽  
Age Group ◽  
Age And Gender ◽  
And Gender

Background: The study aimed to analyse the trends in the growth pattern of the children in the age group of 3-21 years of both boys and girls using body mass index (BMI). The study also compared the BMI of the sample with the WHO norms and the group average.Methods: A study was conducted in India covering 1728 children 849 boys and 879 girls from LKG grade to +2 grades in the age group of 3-21 years. BMI grades were computed as per WHO 2006 standards (underweight- <18.50, normal- 18.50-24.99, overweight- >25.00 and obese- >30.00). Results were analyzed using percentage and ANOVA.Results: The data shows that 88.9% of children in the age group of 3-8 years are underweight and in 15-21 years of age children are relatively healthy, but are inclined to move to overweight (17.66%) and obesity (7.21%). More of boys (31%) tend to be underweight than girls. Age and gender were found to be significantly related to BMI. The average BMI of the sample group is above the national standards of WHO (World Health Organization) in all the three age groups. Boys are found to be on par with WHO norms while girls exceed the same. Majority of the sample were below the average denoting underweight.Conclusions: Age and gender was significantly related with BMI. Average BMI of the sample was on par with national standard of WHO. BMI was thus found to be an effective tool for predicting the well-being of school children.

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