Overweight and obesity prevalence and body mass index trends in Indian children

2011 ◽  
Vol 6 (2-2) ◽  
pp. e216-e224 ◽  
Author(s):  
V. V. Khadilkar ◽  
A. V. Khadilkar ◽  
T. J. Cole ◽  
S. A. Chiplonkar ◽  
Deepa Pandit
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Obesity Prevalence ◽  
Indian Children

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 Overweight and Obesity Prevalence Among School-Aged Nunavik Inuit Children According to Three Body Mass Index Classification Systems

2015 ◽  
Vol 57 (1) ◽  
pp. 31-36 ◽  
Author(s):  
Thierry Comlan Marc Medehouenou ◽  
Pierre Ayotte ◽  
Audray St-Jean ◽  
Salma Meziou ◽  
Cynthia Roy ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Classification Systems ◽  
Obesity Prevalence ◽  
Three Body ◽  
Body Mass Index Classification

scholarly journals Diagnostic accuracy of tri-ponderal mass index and body mass index in estimating overweight and obesity in South African children

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Violet K. Moselakgomo ◽  
Marlise Van Staden
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
South African ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Obesity Prevalence ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
Industrialised Countries

Background: Prevalence of obesity in youths has drastically increased in both industrialised and non-industrialised countries, and this transition resulted in an increased prevalence of chronic diseases.Aim: The study aimed to comparatively examine prevalence of overweight and obesity status based on tri-ponderal mass index and body mass index in estimating body fat levels in South African children.Setting: The study was conducted in Limpopo and Mpumalanga provinces of South Africa.Methods: A cross-sectional survey of 1361 (boys: n = 678; girls: n = 683) children aged 9–13 years was undertaken. The children’s age and sex-related measurements of body weight, waist-to-height ratio, waist-to-hip ratio, triceps skinfold, subscapular skinfolds and sum of skinfold were taken using the International Society for Advancement of Kinanthropometry protocol. TMI and BMI calculations classified children according to weight and age categories. Descriptive statistics, Spearman’s correlations and multiple linear regression analyses were set at ≤ 0.05.Results: Obesity classifications on TMI and BMI among children were as follows: Boys: 7.3%, 2.6%; 2.2%, 0.7%; Girls: 4.0%, 1.0%; 1.8%, 0.6%. Body weight, WHtR, WHpR, TSKF, SSKF and ΣSKF significantly correlated with TMI (r = 0.40, p 0.001; r = 0.73, p 0.001; r = −0.09, p 0.001; r = 0.50, p 0.001; r = 0.51, p 0.001 and r = 0.52, p 0.001) and BMI (r = 0.81, p 0.001; r = 0.59, p 0.001; r = −0.22, p 0.001; r = 0.63, p 0.001; r = 0.67, p 0.001 and r = 0.66, p 0.001). Regression analysis revealed that body weight, WHtR, WHpR, TSKF, SSKF and ΣSKF accounted for 65% and 85% of variance in children’s TMI (R2 = 0.647, F[6 1354] = 413.977, p 0.001) and BMI (R2 = 0.851, F[6 1354] = 1288.218, p 0.001).Conclusion: TMI revealed strikingly higher incidence of overweight and obesity in South African boys and girls than BMI. Future studies are needed to clarify sensitivity of TMI over BMI in quantifying obesity prevalence in children and adolescents.

scholarly journals Association of Body Mass Index and Waist Circumference with Prostate-Specific Antigen

2021 ◽  
Vol 27 (2) ◽  
pp. 71-74
Author(s):  
Jin Lee ◽  
Hwang Sik Shin ◽  
Yong Jin Cho ◽  
Jeung Eun Oh
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Prostate Specific Antigen ◽  
Body Mass ◽  
Abdominal Obesity ◽  
Specific Antigen ◽  
Significant Negative Correlation ◽  
Overweight And Obesity ◽  
Obesity Prevalence ◽  
The Mean

Objective: Prostate-specific antigen (PSA) is widely used as a screening tool of prostate cancer, although there has been a controversy about efficacy. In Korea, rapid growth of obesity prevalence in adult men is a one of the biggest health problems. The objective of this study was to evaluate the potential association between body mass index (BMI), waist circumference (WC) and PSA.Methods: We calculated BMI and WC of a total of 25,603 males who visited the Soonchunhyang University Cheonan Hospital Health Promotion Center from January 2016 to December 2020. This was categorized as follows: BMI < 23 kg/m2 (normal), 23 kg/m2 ≤ BMI < 25 kg/m2 (overweight), BMI ≥ 25 kg/m2 (obesity) and WC < 90 cm (normal), WC ≥ 90 cm (abdominal obesity). We analyzed the association between BMI, WC and PSA.Results: The mean PSA value was 1.08 ng/mL, 1.03 ng/mL, and 0.97 ng/mL at normal, overweight, and obesity group, respectively. The mean PSA value was 1.04 ng/mL and 0.96 ng/mL at normal and abdominal obesity group. Thus, the mean PSA value decreased with an increase in BMI and WC category (P < 0.001). The correlation coefficient between BMI, WC and PSA was -0.055, -0.044 and they were statistically significant (P < 0.001).Conclusion: We observed a significant negative correlation between BMI, WC and PSA value. Therefore, PSA value should be considered in relation to BMI and WC.

scholarly journals Body Fat Percentages by Dual-energy X-ray Absorptiometry Corresponding to Body Mass Index Cutoffs for Overweight and Obesity in Indian Children

2009 ◽  
Vol 3 ◽  
pp. CMPed.S3446 ◽  
Author(s):  
Deepa Pandit ◽  
Shashi Chiplonkar ◽  
Anuradha Khadilkar ◽  
Vaman Khadilkar ◽  
Veena Ekbote
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Task Force ◽  
Dual Energy ◽  
Overweight And Obesity ◽  
Characteristic Analysis ◽  
Indian Children ◽  
X Ray ◽  
Body Fat Percent

Background Indians are suspected to have higher body fat percent at a given body mass index (BMI) than their western counterparts. Objective To estimate percent body fat in apparently healthy Indian children and adolescents by dual-energy X-ray absorptiometry (DXA) and explore linkages of BMI with body fat percent for better health risk assessment. Methods Age, weight, height of 316 boys and 250 girls (6–17 years) were recorded. Body composition was measured by dual-energy X-ray absorptiometry (DXA). High adiposity was defined as body fat percent (BF%) > McCarthy's 85th percentile of body fat reference data. Receiver operating characteristic analysis (ROC) was carried out for CDC BMI Z score for it's ability to judge excess fatness. Results High BF% was seen in 38.5% boys and 54.0% girls (p < 0.05). Percentage of obese children as defined by the BMI cutoffs of International Obesity Task Force (IOTF) (2.1% for boys and 6.9% for girls) was lower than that using Indian (13.7% for boys and 20.9% for girls) and CDC (14.1% for boys and 20.9% for girls) cutoffs. The point closest to one on the ROC curves of CDC BMI Z-scores indicated high adiposity at BMI cutoff of 22 at the age of 17 yr in both the genders. Conclusions Higher body fat percentage is associated with lower BMI values in Indian children.

scholarly journals Validation of Obesity Status Based on Self-Reported Data among Filipina and Indonesian Female Migrant Domestic Workers in Macao (SAR), China

2020 ◽  
Vol 17 (16) ◽  
pp. 5927
Author(s):  
Lei Huang ◽  
Wen Chen ◽  
Andre M. N. Renzaho ◽  
Brian J. Hall
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Migrant Workers ◽  
Domestic Workers ◽  
Overweight And Obesity ◽  
Obesity Prevalence ◽  
Prevalence Of Obesity ◽  
Objectively Measured ◽  
Overweight Or Obesity ◽  
Migrant Domestic Workers

Background: Migrant domestic workers are at high risk of overweight and obesity. It is crucial to assess the prevalence of obesity among this migrant population, for surveillance and intervention. Self-reported height and weight are commonly used to derive body mass index (BMI) and assess the prevalence of obesity. The accuracy of BMI from self-reported height and weight in migrant populations remains unknown. The aim of this study was to assess the accuracy of BMI from self-reported measures and identify the optimal adjustment to be made to overweight and obesity cut-off points when using self-reported body mass index among migrant workers. Methods: Self-reported and objectively measured height and weight were obtained from 1388 female Filipina domestic workers and 369 female Indonesian domestic workers recruited using respondent-driven sampling between November 2016 and August 2017. Self-reported BMI (based on self-reported height and weight) and measured BMI (based on objectively measured height and weight) were calculated as weight in kilograms divided by the square of height in meters for all participants (kg/m2). Results: BMI derived from self-reported height and weight was underestimated for both Filipina (z = −27.5, p < 0.001) and Indonesian (z = −9.9, p < 0.001) participants. Applying the gold standard of Asian BMI cut-off points to self-reported BMI, the sensitivity in identifying overweight or obesity was 64.4% for Filipina participants and 78.6% for Indonesian participants and the specificity was 97.9% for Filipina participants and 93.8% for Indonesian participants for overweight or obesity. When self-reported measures were used, the receiver operator characteristic (ROC) curves and the corresponding area under the curve (AUC) indicated optimal cut-off points of 22.0 kg/m2 and 22.3 kg/m2 for Filipina and female Indonesian participants for overweight or obesity. Conclusions: Although BMI derived from self-reported height and weight allows for quick and low-cost obesity screening, a considerable underestimation of overweight or obesity prevalence was observed in Filipina and female Indonesian migrant domestic workers in Macao (Special Administrative Region, SAR), China. With the best compromise between sensitivity and specificity, the new cut-off points can be used in future studies to identify overweight or obesity in these two populations using self-reported height and weight.

Body mass index cut-offs for screening for childhood overweight and obesity in Indian children

2011 ◽  
Vol 49 (1) ◽  
pp. 29-34 ◽  
Author(s):  
V. V. Khadilkar ◽  
Anuradha V. Khadilkar ◽  
A. B. Borade ◽  
S. A. Chiplonkar
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Childhood Overweight ◽  
Overweight And Obesity ◽  
Indian Children ◽  
Childhood Overweight And Obesity

scholarly journals Time trends in body mass index and obesity prevalence among youth students during 2000 to 2018 in Moscow, Russian Federation

2021 ◽  
Vol 100 (4) ◽  
pp. 347-357
Author(s):  
Sofya N. Zimina ◽  
Marina A. Negasheva ◽  
Irina M. Sineva
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Female Students ◽  
The Body ◽  
World Health ◽  
Obesity Prevalence ◽  
Mean Values ◽  
Young Females ◽  
The Mean

Introduction. The aim of the study. The investigation of the time-related dynamics of adiposity parameters in a socially and economically homogenous group of young people. To determine the pattern of change in their health parameters and assess the prevalence of different diseases associated with increased body weight. Materials and methods. This study used the research titled "Massive anthropometric monitoring of physical development parameters of children, teenagers, and students" conducted from 2000 to 2018. The body mass index (BMI) of more than 6,400 students aged 17-18 years (2,971 young males and 3,418 young females) was examined. Then, we calculated the prevalence of underweight, overweight, and obesity among them. To determine the degrees of obesity, we compared the BMI values in our study with the World Health Organization's BMI ranges for corresponding age. Results. Over the study period, the mean BMI values and 5th and 15th BMI percentiles were characterized by weak positive time-related trends. Furthermore, 85th and 95th percentiles demonstrated a higher rate of increased data values (female students). From 2000 to 2018, the prevalence of overweight among female students increased from 5.2% to 10.5%, and that of obesity rose from 1.7% to 4.6%. For male students, no significant increase occurred in the overweight prevalence. Conclusions. To prevent chronic diseases associated with increased fat mass, attention should be paid to the mean values of different overweight parameters and the prevalence of extreme meanings in extensive population observations. Increased BMI among young females aged 17-18 years implies their possible elevated risk of cardiovascular diseases and other associated disorders later in life, related to nutrition disorders and lifestyle.

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