scholarly journals Body composition: population epidemiology and concordance in Australian children aged 11–12 years and their parents

BMJ Open ◽  
2019 ◽  
Vol 9 (Suppl 3) ◽  
pp. 95-105 ◽  
Author(s):  
Susan A Clifford ◽  
Alanna N Gillespie ◽  
Timothy Olds ◽  
Anneke C Grobler ◽  
Melissa Wake
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Correlation Coefficients ◽  
Home Visits ◽  
Overweight And Obesity ◽  
Height Ratio ◽  
Partial Correlations ◽  
Waist To Height Ratio ◽  
Parent Child

ObjectivesOverweight and obesity remain at historically high levels, cluster within families and are established risk factors for multiple diseases. We describe the epidemiology and cross-generational concordance of body composition among Australian children aged 11–12 years and their parents.DesignThe population-based cross-sectional Child Health CheckPoint study, nested within the Longitudinal Study of Australian Children (LSAC).SettingAssessment centres in seven major Australian cities and eight regional cities, or home visits; February 2015–March 2016.ParticipantsOf all participating CheckPoint families (n=1874), body composition data were available for 1872 children (49% girls) and 1852 parents (mean age 43.7 years; 88% mothers), including 1830 biological parent-child pairs.MeasuresHeight, weight, body mass index (BMI), waist circumference and waist-to-height ratio for all participants; body fat and fat-free mass by four-limb bioimpedence analysis (BIA) at assessment centres, or body fat percentage by two-limb BIA at home visits. Analysis: parent-child concordance was assessed using (i) Pearson’s correlation coefficients, and (ii) partial correlation coefficients adjusted for age, sex and socioeconomic disadvantage. Survey weights and methods accounted for LSAC’s complex sample design.Results20.7% of children were overweight and 6.2% obese, as were 33.5% and 31.6% of parents. Boys and girls showed similar distributions for all body composition measures but, despite similar BMI and waist-to-height ratio, mothers had higher proportions of total and truncal fat than fathers. Parent-child partial correlations were greatest for height (0.37, 95% CI 0.33 to 0.42). Other anthropometric and fat/lean measures showed strikingly similar partial correlations, ranging from 0.25 (95% CI 0.20 to 0.29) for waist circumference to 0.30 (95% CI 0.25 to 0.34) for fat-free percentage. Whole-sample and sex-specific percentile values are provided for all measures.ConclusionsExcess adiposity remains prevalent in Australian children and parents. Moderate cross-generational concordance across all measures of leanness and adiposity is already evident by late childhood.

scholarly journals Waist circumference in 6–12-year-old children: The Health Oriented Pedagogical Project (HOPP)

2018 ◽  
Vol 46 (21_suppl) ◽  
pp. 12-20 ◽  
Author(s):  
Per Morten Fredriksen ◽  
Angelica Skår ◽  
Asgeir Mamen
Keyword(s):  
Body Mass Index ◽  
Socioeconomic Status ◽  
Waist Circumference ◽  
Central Obesity ◽  
Parental Education ◽  
Education Level ◽  
Overweight And Obesity ◽  
Height Ratio ◽  
Parental Education Level ◽  
Waist To Height Ratio

Aims: With overweight and obesity increasing worldwide, it has become ever more important to monitor the development and distribution of adiposity in children. This study investigated how the measurements of waist circumference (WC) and waist-to-height ratio (WHtR) in children 6–12 years old relate to earlier studies. Methods: In 2015, 2271 children (boys, n = 1150) were measured for height, weight, and WC. Parental education level was used as a measure of socioeconomic status. Results: A significant increase in WC with age was revealed for both sexes ( p < .0001). Boys at 10 and 12 years had a larger WC than girls; otherwise no difference between sexes was found. The WHtR decreased with age for girls ( p < .0001); 14% of the sample displayed a WHtR ≥ 0.50. Comparison with earlier studies showed a higher WC and WHtR despite no change in weight and body mass index. Conclusion: WC and WHtR are recommended as tools for identifying central obesity in children. The results indicate increased WC in 6–12-year-old children compared with earlier findings.

scholarly journals Maternal smoking during pregnancy and offspring body composition in adulthood: Results from two birth cohort studies

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e023852 ◽  
Author(s):  
Elma Izze da Silva Magalhães ◽  
Natália Peixoto Lima ◽  
Ana Maria Baptista Menezes ◽  
Helen Gonçalves ◽  
Fernando C Wehrmeister ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Fat Mass ◽  
Maternal Smoking ◽  
Height Ratio ◽  
Fat Mass Index ◽  
Smoking During Pregnancy ◽  
Gynoid Fat ◽  
Maternal Smoking During Pregnancy ◽  
Waist To Height Ratio

ObjectiveTo evaluate the association of maternal smoking during pregnancy with offspring body composition in adulthood and explore the causality of this association.DesignBirth cohort.SettingPopulation-based study in Pelotas, Brazil.ParticipantsAll newborn infants in the city’s hospitals were enrolled in 1982 and 1993. At a mean age of 30.2 and 22.6 years, the 1982 and 1993 cohorts, respectively, followed the subjects and 7222 subjects were evaluated.Primary outcome measuresBody mass index (BMI), fat mass index, android to gynoid fat ratio, waist circumference, waist to height ratio, lean mass index and height.ResultsPrevalence of maternal smoking during pregnancy was 35.1% and 32.6%, in 1982 and 1993 cohorts, respectively. Offspring of smoking mothers showed higher mean BMI (β: 0.84; 95% CI: 0.55 to 1.12 kg/m2), fat mass index (β: 0.44; 95% CI: 0.23 to 0.64 kg/m2), android to gynoid fat ratio (β: 0.016; 95% CI: 0.010 to 0.023), waist circumference (β: 1.74; 95% CI: 1.15 to 2.33 cm), waist to height ratio (β: 0.013; 95% CI: 0.010 to 0.017) and lean mass index (β: 0.33; 95% CI: 0.24 to 0.42 kg/m2), whereas height was lower (β: −0.95; −1.26 to −0.65). Weight gain in the first 2 years captured most of the association of maternal smoking with BMI (96.2%), waist circumference (86.1%) and fat mass index (71.7%).ConclusionsMaternal smoking in pregnancy was associated with offspring body composition measures in adulthood.

scholarly journals BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital out patients: a cross-sectional study

2020 ◽  
Author(s):  
Rajan Shrestha ◽  
Bijay Khatri ◽  
Madan P. Upadhyay ◽  
Janak R. Bhattarai ◽  
Manish Kayastha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Waist Circumference ◽  
Area Under The Curve ◽  
Overweight And Obesity ◽  
Anthropometric Measurements ◽  
Height Ratio ◽  
Cross Sectional ◽  
High Waist Circumference ◽  
Waist To Height Ratio

Abstract Background: Obesity has become a global epidemic with a rise in noncommunicable diseases. It is now becoming the problem of low- and middle-income countries such as Nepal. Conventional risk factors are present in a high proportion in the Nepalese population. As a routine surveillance or registry system is absent, the actual burden and trend of obesity and hypertension in Nepal are unknown. Hypertension and other cardiovascular diseases can be prevented by detecting risk factors such as obesity and high blood pressure. A simple anthropometric measurement could be used to determine the risk of hypertension. However, the best predictor of hypertension remains contentious and controversial. We aimed to determine the burden of obesity and hypertension and test the ability to determine hypertension through different anthropometric measurements in hospital outpatients in a low-income setting.Methods: This hospital-based cross-sectional descriptive study was conducted from June to December 2019 among 40-69 year outpatients in a tertiary eye and ENT hospital in a semi-urban area of Nepal among a randomly selected sample of 2,256 participants from 6,769 outpatients visited in Health Promotion and risked factor screening service. We performed a correlation analysis to determine the relationship between anthropometric measurements and blood pressure. The area under the receiver operating characteristic (ROC) curve of body mass index (BMI), waist to height ratio (WHtR) and waist circumference (WC) was calculated and compared.Results: The mean (SD) age of the participants was 51.75 (8.47) years. The overall prevalence of obesity and overweight by BMI was 16.09% and 42.20%, respectively. The overall prevalence of abdominal obesity by waist-to-height ratio was 32.76%, which is higher than obesity by BMI. High waist circumference was observed among 66.76% participants, whereas female participants had a very higher prevalence of high waist circumference (77.46%) and male participants (53.73%) (p<0.001). The prevalence of hypertension among the participants with BMI≥25 kg/m2, WHtR≥0.5 and WC≥ cutoff values was 45.97%, 42.52% and 45.28%, respectively. The overall prevalence of hypertension and prehypertension was 40.67% and 36.77%, respectively. Male participants had a slightly higher prevalence of hypertension (42.72%) than female participants (39.00%). The areas under the curve (AUCs) were significantly higher than 0.5 for BMI (0.570, 95% CI: 0.548-0.592), WC (0.585, 95% CI: 0.563-0.607) and WHtR (0.586, 95% CI: 0.564-0.608). In both genders, the area under the curve was significantly higher than 0.5 (P<0.01). In all age groups, the area under the curve was also significantly higher than 0.5.Conclusion: Waist circumference was both correlated as well as had higher predictive capacity amongst WHtR and BMI and may play a major role in the future diagnosis of HTN in Nepali adults. Regardless of the anthropometric metrics used to measure overweight and obesity, the hospital setting is an opportunity centre to screen for overweight, obesity and hypertension, which are major risk factors for NCDs.

scholarly journals Are 24 h urinary sodium excretion and sodium:potassium independently associated with obesity in Chinese adults?

2015 ◽  
Vol 19 (6) ◽  
pp. 1074-1080 ◽  
Author(s):  
Zeng Ge ◽  
Jiyu Zhang ◽  
Xiaorong Chen ◽  
Liuxia Yan ◽  
Xiaolei Guo ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Abdominal Obesity ◽  
Linear Trend ◽  
Sampling Strategy ◽  
Urinary Sodium Excretion ◽  
Overweight And Obesity ◽  
Chinese Adults ◽  
Height Ratio ◽  
Cross Sectional ◽  
Waist To Height Ratio

AbstractObjectiveTo examine the association of 24 h urinary Na excretion and Na:K with obesity in Chinese adults.DesignPopulation-based cross-sectional study using a four-stage stratified sampling strategy.SettingShandong Province, China.SubjectsChinese adults (n 1906) aged 18–69 years who provided complete 24 h urine samples.ResultsOdds of obesity increased significantly across increasing quartiles of urinary Na excretion (1·00, 1·54, 1·69 and 2·52, respectively, for overweight; 1·00, 1·20, 1·50, and 2·03, respectively, for obesity; 1·00, 1·44, 1·85 and 2·53, respectively, for abdominal obesity (assessed by waist circumference); and 1·00, 1·28, 1·44 and 1·75, respectively, for abdominal obesity (assessed by waist-to-height ratio); P for linear trend <0·001 for all). In addition, odds of abdominal obesity, but not odds of overweight and obesity, increased significantly with successive Na:K quartiles. Additionally, for each increment in urinary Na excretion of 100 mmol, odds of overweight, obesity, abdominal obesity (by waist circumference) and abdominal obesity (by waist-to-height ratio) increased significantly by 46 %, 39 %, 55 % and 33 %, respectively. Similarly, with a 1 sd increase in Na:K, odds of abdominal obesity (by waist circumference) and abdominal obesity (by waist-to-height ratio) increased significantly by 12 % and 15 %, respectively.ConclusionsThese findings suggest that 24 h urinary Na excretion and Na:K might be important risk factors for obesity in Chinese adults.

scholarly journals Impact of orange juice consumption on macronutrient and energy intakes and body composition in the US population

2012 ◽  
Vol 15 (12) ◽  
pp. 2220-2227 ◽  
Author(s):  
Ying Wang ◽  
Beate Lloyd ◽  
Meng Yang ◽  
Catherine G Davis ◽  
Sang-Gil Lee ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Children And Adolescents ◽  
Body Fat ◽  
Orange Juice ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
Percentage Body Fat ◽  
Significant Difference ◽  
The Us

AbstractObjectiveThe present study evaluated the contribution of 100 % orange juice (OJ) consumption to the intakes of macronutrients and energy and its impact on body composition.DesignA cross-sectional study was conducted. The main exposure was OJ consumption based on two non-consecutive 24 h diet recalls. Macronutrient and energy intakes and body composition parameters were outcome measures. All statistical analyses were carried out using SAS and SUDAAN statistical software packages to allow for multistage sample designs.SettingThe US population and its subgroups.SubjectsThe US population aged ≥4 years (n 13 971) from the National Health and Nutrition Examination Survey 2003–2006, conducted by the National Center for Health Statistics.ResultsIn this US population, OJ consumers had lower BMI and healthier lifestyle behaviours (including lower alcohol consumption and smoking as well as higher exercise level) than non-consumers (P < 0·05). After adjusting for covariates, OJ consumers had higher daily intakes of carbohydrate, total sugar, total fat and energy than non-consumers (P < 0·01). However, these linear trends still remained even after OJ was removed from the food list of items consumed. Adult OJ consumers had lower BMI, waist circumference and percentage body fat than non-consumers (P < 0·01), as well as lower odds ratio for overweight and obesity (P < 0·01). These effects were not seen in children and adolescents, where there was no significant difference in BMI, waist circumference and percentage body fat in OJ consumers compared with non-consumers.ConclusionsOJ consumption was associated with healthier body composition in adults; while there were no significant associations between OJ consumption and body composition in children and adolescents.

scholarly journals Body fat indices for identifying risk of hypertension in Indian children

2019 ◽  
Vol 6 (5) ◽  
pp. 2116
Author(s):  
Vairamuthu G. S. ◽  
Thangavel A.
Keyword(s):  
Blood Pressure ◽  
Waist Circumference ◽  
Body Fat ◽  
Height Ratio ◽  
Indian Children ◽  
Skin Fold Thickness ◽  
Skin Fold ◽  
Triceps Skin Fold ◽  
Waist To Height Ratio ◽  
Triceps Skin Fold Thickness

Background: Studies in India shown high body fat indices were strongly associated with hypertension in Indian children, but such studies mostly not done in southern states of India. So, authors include children in Tamilnadu measure body fat indices and blood pressure to find which body fat index correlates closely with hypertension.Methods: Standing height was measured using stadiometer. Weight was measured using electronic scale. WC measured in standing position, by a stretch resistant.  WC above 90th centile will be considered as Adipose. Waist to height ratio optimal cut-off value is 0.44 for children. TSFT recorded using Harpenden caliper, on the non-dominant upper arm. Wrist circumference measured using stretch resistant tape.Results: In this study 2000 children were participated. More hypertensives are seen in 10 to 12 years(62) and 16 to 18 years(31).Increased weight correlated with hypertension. Study indicates waist circumference is significantly correlated with systolic BP p<0.003, diastolic BP p<0.000. This study shows significant correlation p<0.003 for systolic and p<0.000 for diastolic BP with triceps skin fold thickness estimation. In multivariate analysis with systolic blood pressure and diastolic blood pressure shows very strong correlation with waist circumference, waist to height ratio and triceps skin fold thickness.Conclusions: In this study we investigate the correlation between body fat indices and blood pressure correlation was statistically analyzed which shows that waist circumference, waist to height ratio and triceps skin fold thickness were strongly correlated with systolic and diastolic BP.

Utility of silhouette showcards to assess adiposity in three countries across the epidemiological transition

2020 ◽  
Author(s):  
Tyler Reese ◽  
Pascal Bovet ◽  
Candice Choo-Kang ◽  
Kweku Bedu-Addo ◽  
Terrence Forrester ◽  
...  
Keyword(s):  
Body Size ◽  
Waist Circumference ◽  
Linear Regression ◽  
Roc Analysis ◽  
Overweight And Obesity ◽  
Epidemiological Transition ◽  
Height Ratio ◽  
The Usa ◽  
Different Populations ◽  
Waist To Height Ratio

Abstract Background: The Pulvers’ silhouette showcards provide a non-invasive, easy-to-use, and possibly cross-culturally acceptable way of assessing an individual’s perception of their body size. This study examined, in three different populations: 1) the relationship between silhouettes and body mass index (BMI), 2) the predictive performance of silhouettes to predict dichotomous adiposity categories, and 3) whether silhouette ranking performed similarly in predicting BMI, waist circumference (WC), and waist-to-height ratio (WHR). Methods: This study included 751 participants of African-origin from the United States of America (USA), the Republic of Seychelles, and Ghana, from the ongoing cohort Modeling the Epidemiological Transition Study. We assessed the mean BMI for each silhouette rank by country and sex and performed a least-squares linear regression for the silhouette’s performance by country and sex. The performance of the silhouettes to predict overweight and obesity (BMI ≥ 25 kg/m2), and obesity alone (BMI ≥ 30 kg/m2) was examined through a receiver operator curve (ROC) analysis with corresponding sensitivities and specificities. Finally, a ROC analysis area under the curve (AUC) was also performed for the detection of elevated waist circumference (men ≥ 94 cm; women ≥ 80 cm) and waist-to-height ratio (> 0.5) by country and sex.Results: Mean measured BMI (kg/m2) in men/women differed largely across countries: 28.9/35.8 in the USA, 28.3/30.5 in Seychelles, and 23.9/28.5 in Ghana. The slope of the relation between silhouette ranking and BMI (i.e., linear regression coefficient and 95% confidence intervals) was similar between sexes of the same country but differed between countries: 3.65 [95% CI: 3.34-3.97 BMI units/silhouette unit] in the USA, 3.23 [2.93-3.74] in Seychelles, and 1.99 [1.72-2.26] in Ghana. Different silhouette cut-offs predicted dichotomous adiposity categories differently in the three countries. For example, a silhouette ≥ 5 had sensitivity/specificity of 77.3%/90.6% to predict BMI ≥ 25 kg/m2 in the USA, but 77.8%/85.9% in Seychelles and 84.9%/71.4% in Ghana. Finally, silhouettes predicted BMI, WC, and WHR similarly, within each country and sex, based on Spearman correlations coefficients (continuous scale) and c-statistic (dichotomous classification).Conclusion: Our data suggest that Pulvers’ silhouette showcards can be a useful tool to objectively predict different adiposity measures in different populations when direct measurement cannot be performed. However, population-specific differences in the slopes of the associations, which possibly partly reflect differences in perceptions of one’s body size according to country adiposity prevalence, stress the need to calibrate silhouette showcards when using them as a survey tool.

Sign in / Sign up

Export Citation Format

Share Document