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 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.

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.

To Determine the Prevalence of Obesity in Breast Cancer Patients

2021 ◽  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Tertiary Care ◽  
Overweight And Obesity ◽  
World Health ◽  
Care Hospital ◽  
Breast Cancer Patients ◽  
Prevalence Of Obesity

Background: Breast Cancer is one of the leading causes of death worldwide. Pakistan alone has the highest rate of Breast Cancer than any other Asian country as approximately 90000 new cases are diagnosed every year out of which 40000 dies. Obesity is also a critical public health problem growing with every passing year in Pakistan and worldwide. Research studies are being conducted worldwide regarding the relation between the two problems. Objective: The objective of this study is to determine the prevalence of obesity in breast cancer patients in a tertiary care hospital in Karachi, Pakistan. Methods: BMI is used as a screening tool for overweight and obesity. According to World Health Organization, a body mass index (BMI) over 25 is considered overweight, and over 30 is obese. A retrospective analysis of 262 patients diagnosed with Breast Cancer during 2019 and 2020 was performed. Patients’ hospital records in Oncology were reviewed. The weight in kilograms and height in centimeters of patients were reviewed. Their BMI was calculated and recorded using the SPSS system. Results: The median BMI was 28.25 kg/m2 with an interquartile range of 25.15 - 31.99 kg/m2. Nearly 80% of the study participants had body mass index higher than normal levels (n=203, 77.5%) and out of them approximately half were overweight (n=104, 51.2%) and the remaining were obese (n=99, 48.7%). Conclusion: We conclude from our study that body mass index is positively correlated with breast cancer occurrence and thus the proportion of females having BMI >= 25 was significantly higher among patients.

Growth Pattern and Use of Inter-pupillary Distance in the Detection of Ocular Hypertelorism and Hypotelorism in Indian Down Syndrome Children

2021 ◽  
Author(s):  
Anil Kumar Bhalla ◽  
Harvinder Kaur ◽  
Rupinder Kaur ◽  
Inusha Panigrahi ◽  
Brij Nandan Singh Walia
Keyword(s):  
Down Syndrome ◽  
Objective Evaluation ◽  
Age And Gender ◽  
Specific Data ◽  
Indian Origin ◽  
Serial Data ◽  
And Gender ◽  
Ocular Hypertelorism ◽  
Gender Specific ◽  
North Western

AbstractUse of inter-pupillary distance (IPD) for objective evaluation of ocular hypertelorism and hypotelorism is recommended to corroborate diagnosis of syndromic conditions. In view of complete absence of serial data on growth of IPD, this study aims to unfold auxological dynamics of IPD in Down syndrome (DS) children of Indian origin. Inner canthal distance (ICD) and outer canthal distance (OCD) were measured on a total of 1,125 (male: 752, female: 373) DS children, aged 0 to 3 months to 10 years at 6 monthly age intervals using a “Digimatic Sliding Caliper” in the Growth Laboratory/Growth Clinic of the Institute. Using Feingold and Bossert (1974) formula, IPD at each age was calculated from ICD and OCD measured among male and female DS children. IPD, like OCD and ICD increased un-interruptedly among DS children. IPD grew rapidly up to 5 years thereafter, its rapidity became slower. Boys in general, possessed larger IPD than girls, however, gender differences became statistically significant up to first 4 years of life. Our study children possessed significantly smaller IPD as compared with their normal Indian counterparts. None of our DS children depicted ocular hypertelorism while hypotelorism, was noticed amongst 4.9% male and 16.8% female DS patients. Comparison with normative IPD data failed to establish existence of ocular hypertelorism in DS children (<10 years) of north-western Indian origin. Use of age and gender-specific data presented for IPD of DS children may be made for comparative purpose to ascertain inter-population variability.

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.

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.

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