Trends in esophageal cancer and body mass index by race and gender in the state of Michigan

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.

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

International journal of Science Culture and Sport ◽

10.14486/ijscs197 ◽

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

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Influence of Body Mass Index and Gender on Growth Hormone (GH) Responses to GH-Releasing Hormone Plus Arginine and Insulin Tolerance Tests

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/jc.2004-1450 ◽

2005 ◽

Vol 90 (3) ◽

pp. 1563-1569 ◽

Cited By ~ 60

Author(s):

Xiao-Dan Qu ◽

Irene T. Gaw Gonzalo ◽

Mohammed Y. Al Sayed ◽

Pejman Cohan ◽

Peter D. Christenson ◽

...

Keyword(s):

Body Mass Index ◽

Gender Differences ◽

Body Mass ◽

Healthy Subjects ◽

Gh Deficiency ◽

Tolerance Test ◽

Insulin Tolerance Test ◽

Insulin Tolerance ◽

Stimulation Tests ◽

And Gender

The aim of this study is to assess whether gender and body mass index (BMI) should be considered in developing thresholds to define GH deficiency, using GH responses to GHRH + arginine (ARG) stimulation and insulin tolerance test (ITT). Thirty-nine healthy subjects (19 males, 20 females; ages 21–50 yr) underwent GHRH + ARG, and another 27 subjects (19 males, 8 females; ages 20–49 yr) underwent ITT. Peak GH response was significantly higher (P = 0.005) after GHRH + ARG than with ITT, and this difference could not be explained by age, gender, or BMI. Peak GH response was negatively correlated with BMI in both tests (GHRH + ARG, r = −0.76; and ITT, r = −0.65). Peak GH response to GHRH + ARG was higher in females than males (P = 0.004; ratio = 2.4), but it was attenuated after eliminating the influence of BMI (P = 0.13; ratio = 1.6). No significant gender differences were found in peak GH responses to ITT, which could be due to the smaller number of female subjects studied. GH response to GHRH + ARG and ITT stimulation is sensitive to BMI differences and less so to gender differences. A higher BMI is associated with a depressed GH response to both stimulation tests. BMI should therefore be considered as a factor when defining the diagnostic cut-off points in the assessment of GH deficiency, whereas whether gender should be likewise used is inconclusive from this study.

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Percentile Charts for Body Mass Index of Indian Down Syndrome Children

Journal of Pediatric Genetics ◽

10.1055/s-0041-1724115 ◽

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.

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Differences in Participant Motivation Based on Category of Body Mass Index and Gender

Applied Psychology Readings ◽

10.1007/978-981-10-2796-3_9 ◽

2016 ◽

pp. 125-135 ◽

Cited By ~ 2

Author(s):

I. T. Heazlewood ◽

J. Walsh ◽

M. Climstein ◽

K. Adams ◽

T. Sevene ◽

...

Keyword(s):

Body Mass Index ◽

Body Mass ◽

And Gender

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“We’re Being Released to a Jungle”: The State of Prisoner Reentry and the Resilience of Women of Color

The Prison Journal ◽

10.1177/0032885519852089 ◽

2019 ◽

Vol 99 (4) ◽

pp. 459-483 ◽

Cited By ~ 2

Author(s):

Janet Garcia-Hallett

Keyword(s):

Women Of Color ◽

Prisoner Reentry ◽

The State ◽

Interview Data ◽

People Of Color ◽

Power Structures ◽

Race And Gender ◽

Social Structural ◽

Before And After ◽

And Gender

The punitive carceral system is expected to tame people of color into docile bodies through their imprisonment. Furthermore, the oppressive and punitive U.S. context embodies patriarchy and injustice in which women of color endure unique obstacles at the intersection of race and gender. Given the power structures built to destabilize women of color before and after incarceration, this study uses interview data to examine their perseverance through carceral systems. The findings illustrate how oppressive regimes shape postincarceration obstacles and explore how women of color combat social-structural inequalities after incarceration.

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

Methods of Information in Medicine ◽

10.1055/s-0038-1634435 ◽

2002 ◽

Vol 41 (03) ◽

pp. 202-208 ◽

Cited By ~ 2

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.

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