Comparison of anthropometric indicators related to overweight and obesity by place of residence in a local community with a high social deprivation rate - a cross-sectional study.

INTRODUCTION AND OBJECTIVE: Obesity is considered a major public health concern. The aim of the study is to compare anthropometric indicators related to overweight and obesity by place of residence in a local community with a high social deprivation rate, based on the example of residents of the Janów District in eastern Poland, taking into account gender strata differences. MATERIAL AND METHODS: The cross-sectional epidemiological study was carried out in a study group of 3,752 individuals. The following anthropometric measurements and laboratory tests were performed to identify the anthropometric indicators related to overweight and obesity: body mass index (BMI), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) and body adiposity index (BAI). RESULTS: Mean age of the study group was 51.92 ± 8.15. Overweight and obesity-related indicators were more prevalent in rural than urban areas among women, and were as follows: BMI (28.77 ± 5.37 vs. 27.62 ± 5.09; p < 0.001), WHR (0.87 ± 0.07 vs. 0.85 ± 0.07; p < 0.001), WHtR (0.57 ± 0.09 vs. 0.57 ± 0.08; p < 0.001) and BAI (33.58 ± 5.48 vs. 32.82 ± 5.4; p = 0.002). Men's mean WHR was higher in rural than in urban areas (0.96 ± 0.07 vs. 0.95 ± 0.62; p < 0.001). CONCLUSIONS: The study shows that women living in rural areas had a mean BMI that was 1.1 higher than that of women living in urban areas, as well as 0.02 higher WHR and WHtR and 0.8 higher BAI. In contrast, men living in rural areas had a 0.001 higher WHtR and WHR than men living in urban areas. In the multivariable models, after having considered potential confounding variables, women living in rural areas had approximately a 60% higher probability of being obese, while men had approximately a 30% higher probability of being obese.

Harmonizing the assessment of allostatic load across cycles of the Canadian Health Measures Survey: Variable selection and calculation method.

Background: The availability of measures to operationalize allostatic load - the cumulative toll on the body of responding to stressor demands - in population health surveys may differ across years or surveys, hampering analyses on the entire sampled population. Here, impacts of variable selection and calculation method were evaluated to generate an allostatic load index applicable across all cycles of the Canadian Health Measures Survey (CHMS). Methods: Data from CHMS cycles 1 to 4 were used to compare allostatic load scores when replacing the most prevalent risk factor, waist-to-hip ratio - available in cycles 1 to 4 but not 5 and 6 - with body mass index (BMI), waist circumference, waist circumference within BMI groups (classified as normal, overweight, or obese), or waist-to-height ratio. Indexes were generated using clinical or sex-specific empirically defined risk thresholds and as count-based or continuous scores. Logistic regression models that included age and sex were used to relate each potential index to socioeconomic indicators (educational attainment, household income). Results: Of the variables assessed, waist-to-height ratio and waist circumference were closest to waist-to-hip ratio according to an individual's percentile ranking and in classifying "at risk" using either clinical or empirically defined cut-offs. Allostatic load profiles generated using waist-to-height ratios most closely resembled profiles constructed using waist-to-hip ratios. Sex-dependent associations with educational attainment and household income were maintained across constructs whether indexes were count-based or continuous. Interpretation: Allostatic load profiles and associations with socioeconomic indicators were robust to variable substitution and method of calculation, supporting the use of a harmonized index across survey cycles to assess the cumulative toll on health of stressor exposure.

The Impact of Longitudinal Patterns of Adolescent Sleep Duration on Adult C-Reactive Protein (CRP), Waist-To-Height Ratio, and Body Mass Index (BMI) Among Black and White Individuals.

PURPOSE: To assess the impact of longitudinal adolescent sleep duration on adult C-reactive protein (CRP), waist-to-height ratio (WtHR), and body mass index (BMI) by race. METHODS: Participants (N = 2,399; Mage = 15.7; 40.2% male; 79.2% White, 20.8% Black; Grades 7-12 at Wave I) from the Add Health database provided self-reported sleep duration in Waves I-IV. During Wave V, CRP, WtHR, and BMI were objectively measured. Trajectory analysis was performed using a group-based modeling approach. Chi-square test determined racial differences between groups. General linear models determined relationships between trajectory group, race, and group/race interaction with Wave V CRP, WtHR, and BMI. RESULTS: Three sleep trajectories emerged: Group 1 "shortest" (24.4%), Group 2 "stable recommended" (67.6%), and Group 3 "varied" (8%). Black individuals and older individuals were more likely to be in Group 1 compared with Group 2. Regardless of race, individuals with patterns of sleep duration increasing to above what is recommended across waves (Group 3) had elevated CRP. Individuals with stable patterns of adequate sleep (Group 2) had lower WtHR. Black individuals with consistently stable patterns of adequate sleep duration had lower BMI compared to those with low sleep duration. DISCUSSION: Black individuals were more likely to obtain chronically short sleep during the transition from adolescence to adulthood, highlighting a significant health disparity. Poor longitudinal sleep predicted elevated CRP and WtHR. Sleep only impacted BMI for Black individuals. This may relate to racial differences in BMI measurement.

Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults.

Sarcopenic obesity is defined as the presence of high fat mass and low muscle mass combined with low physical function, and it is closely related with the onset of cardiovasular diseases (CVD). The existing anthropometric indices, which are being utilised in clinical practice as predictors of CVD, may also be used to screen sarcopenic obesity, but their feasibility remained unknown. Using cross-sectional data of 2031 participants aged 70-84 years (mean age, 75·9 ± 3·9 years; 49·2 % women) from the Korean Frailty and Aging Cohort Study, we analysed the association of anthropometric indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted waist index (WWI) with sarcopenic obesity. Body composition was measured using dual-energy X-ray absorptiometry. Higher WWI, WHtR and WC quartiles were associated with higher risk of sarcopenic obesity; the odds ratio (OR) of sarcopenic obesity were highest in the fourth quartile of the WWI (OR: 10·99, 95 % CI: 4·92-24·85, Pfor trend < 0·001). WWI provided the best diagnostic power for sarcopenic obesity in men (area under the receiver operating characteristic curve: 0·781, 95 % CI: 0·751-0·837). No anthropometric indices were significantly associated with sarcopenic obesity in women. WWI was the only index that was negatively correlated with physical function in both men and women. WWI showed the strongest association with sarcopenic obesity, defined by high fat mass and low muscle mass combined with low physical function only in older men. No anthropometric indices were associated with sarcopenic obesity in older women.

Utilização da Razão Cintura-Estatura na avaliação nutricional na primeira fase da adolescência / The use of Waist-to-Height Ratio for nutritional assessment in the first phase of adolescence

Objetivo: Este estudo visou avaliar o desempenho da razão cintura-estatura (RCE) como indicador complementar do estado nutricional na primeira fase da adolescência. Métodos: Trata-se de estudo transversal com 148 adolescentes (10 a 13 anos de idade) de duas escolas de Macaé, RJ, realizado em 2016/2017. Foram coletadas informações de maturação sexual, peso, estatura e perímetro da cintura (PC). Para verificar como as classificações do índice de massa corporal-para-idade (IMC/I), PC e RCE dialogam em termos de triagem de risco em saúde, foi feito o teste Kappa. Os limites máximos de sensibilidade e especificidade da RCE segundo o IMC/I foram analisados pela curva ROC (Receiver Operating Characteristics). Resultados: Dentre os avaliados, 51,4% eram meninas e mais de 60% encontravam-se nos dois primeiros estágios de maturação sexual. A prevalência de excesso de peso (sobrepeso+obesidade) foi 31,8%, obesidade 17,6% e RCE elevada 20,3%, sem diferença segundo sexo e maturação sexual. A RCE apresentou boa concordância com excesso de peso (Kappa=0,707) e obesidade (Kappa=0,780). Já a concordância entre IMC/I e PC foi pobre. O valor de 0,45 da RCE foi o ponto de corte mais adequado para identificar os adolescentes com excesso de peso. Conclusões: Este trabalho sugere que a RCE apresenta melhor desempenho que o PC como indicador complementar do estado nutricional no início da adolescência. A RCE agrega informação sobre a gordura central ponderada pela estatura, não requer curva de comparação e apresenta ponto de corte, o que facilita ações de triagem nos serviços de saúde e em estudos epidemiológicos.

Objective: This study evaluated the performance of the Waist-to-Height Ratio (WHR) as an additional indicator of nutritional status in the first phase of adolescence. Methods: This is a cross-sectional study, developed in 2016/2017, with 148 adolescents (10 to 13 years old) from two public schools of Macaé, a municipality in Rio de Janeiro, Southeast Brazil. We collected information on sexual maturation, weight, height, and waist circumference (WC). The Kappa Test was performed to verify the accordance among Body Mass Index-for-Age (BMI/A), WC, and WHR in relation to health risk screening. The maximum limits of sensitivity and specificity of WHR according to BMI/A were analyzed by ROC curve (Receiver Operating Characteristics). Results: Among the participants, 51.4% were girls, and more than 60% were in the first two stages of sexual maturation. The prevalence of excess weight (overweight+obesity) was 31.8%, obesity 17.6%, and high WHR 20.3%, with no difference according to sex and sexual maturation. WHR showed good agreement with excess weight (Kappa=0.707) and obesity (Kappa=0.780). The agreement between BMI/A and WC was poor. The value 0.45 was the most appropriate WHR cutoff point to identify adolescents with excess weight. Conclusions: This study suggests that WHR performs better than WC as an additional indicator of nutritional status in early adolescence. WHR brings information on central adiposity weighted by height, does not require a comparison curve, and has a cutoff point, which may facilitate screening in health services and epidemiological studies.

Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study.

BACKGROUND: Cardiovascular disease (CVD) brings high mortality and economic burden to patients, especially in rural areas. Simple, low-cost abdominal adiposity measures may help identify individuals with increased CVD risk. It is unclear that which obesity indices is the best to predict CVD in hypertensive people. METHODS: Northeast China Rural Cardiovascular Health Study (NCRCHS) is a prospective cohort study in a general population in Northeast China. The study examined the cardiovascular health from 2013 to 2015, and follow-up captured the CVD incidence in 2018. Baseline waist-to-height ratio (WHtR), waist circumference (WC), waist-to-hip (WHR)and body mass index (BMI) were calculated and analyzed in relation to the CVD incidence. RESULTS: A total of 4244 hypertensive adults without pre-existing CVD at baseline were included in this analysis (age 35-92 years; 2108 men). Over a median follow-up of 4.66 years, a total of 290 CVD cases (6.83%) were documented during the follow-up. Baseline WHtR showed a significant positive association with CVD incidence, even after adjusting for age, sex, diabetes, drinking, smoking, SBP, DBP, Triglyceride, HDL-C, LDL-C, and TC (Hazard Ratios per SD of WHtR ranging from 1.03 to 1.31, p = 0.017). Reclassification and discrimination analyses indicated WHtR addition could improve the conventional model for predicting adverse outcomes within 4 years. Moreover, WHtR predicted the CVD incidence better than other obesity indices (BMI, WC, WHR). CONCLUSION: These findings support a positive association between WHtR and CVD incidence in CVD-free hypertensive adults. WHtR can be used to predict CVD incidence in hypertensive adults.

Sex Difference in the Associations among Obesity-Related Indices with Metabolic Syndrome in Patients with Type 2 Diabetes Mellitus.

Background: The aim of this study was to investigate the associations among obesity-related indices and MetS in diabetic patients, and explore sex differences in these associations. Methods: Patients with type 2 DM were included from two hospitals in southern Taiwan. The Adult Treatment Panel III criteria for an Asian population were used to define MetS. In addition, the following obesity-related indices were evaluated: waist-to-height ratio, waist-hip ratio (WHR), conicity index (CI), body mass index (BMI), body roundness index, body adiposity index, lipid accumulation product (LAP), abdominal volume index, visceral adiposity index (VAI), abdominal volume index and triglyceride-glucose index. Results: A total of 1,872 patients with type 2 DM (mean age 64.0 ± 11.3 years, 808 males and 1,064 females) were enrolled. The prevalence rates of MetS were 59.8% and 76.4% in the males and female (p < 0.001), respectively. All of the obesity-related indices were associated with MetS in both sex (all p < 0.001). LAP and BMI had the greatest areas under the receiver operating characteristic curves in both sex. In addition, the interactions between BMI and sex (p = 0.036), WHR and sex (p = 0.016), and CI and sex (p = 0.026) on MetS were statistically significant. Conclusions: In conclusion, this study demonstrated significant relationships between obesity-related indices and MetS among patients with type 2 DM. LAP and VAI were powerful predictors in both sex. The associations of BMI, WHR and CI on MetS were more significant in the men than in the women.

Beyond Asian-Specific Cutoffs: Gender Effects on the Predictability of Body Mass Index, Waist Circumference, and Waist Circumference to Height Ratio on Hemoglobin A1c.

OBJECTIVES: This study examines the gender effect on the associations between body mass index (BMI), waist circumference (WC), and waist circumference to height ratio (WHtR) with hemoglobin A1c (HbA1c) when Asian-specific cutoffs are applied among Asians living in the USA. DESIGN: This study used the pooled 2013-2014 and 2015-2016 National Health and Nutrition Examination Survey (NHANES) data to produce a sample of 900 Asians who were non-pregnant and non-Hispanic aged 20-65. Bivariate and general linear regression analyses were conducted based on gender and age group. RESULTS: The group variations of BMI, WC, and WHtR all exhibited different patterns between males and females. Among the bivariate correlations with HbA1c, WHtR was the strongest in males and WC was the strongest in females. All three measures performed better in predicting HbA1c among younger Asians. WC predicted more of the variance in HbA1c among females, whereas WHtR predicted more of the variance in HbA1c among males. CONCLUSIONS: WC and WHtR are two anthropometric measures that serve as appropriate proxy of HbA1c for gauging the risk of developing type 2 diabetes among Asians living in the USA. They can be easily performed at non-clinical settings and should be used by individuals to monitor their health and be a part of disease prevention.

Obesity Risk Assessment Tool for Low-Income Spanish Speaking Immigrant Parents with Young Children: Validity with BMI and Biomarkers of Obesity.

Children of Hispanic origin bear a high risk of obesity. Child weight gain trajectories are influenced by the family environment, including parent feeding practices. Excessive body fat can result in unhealthful metabolic and lipid profiles and increased risk of metabolic diseases. The objective was to estimate criterion validity of an obesity risk assessment tool targeting Spanish-speaking families of Mexican origin using anthropometric measures and blood values of their young children. A cross-sectional study design with five data collection sessions was conducted over an eight-week period and involved 206 parent/child dyads recruited at Head Start and the Special Supplemental Nutrition Program for Women, Infants and Children in Northern California. Main outcome measures were criterion validity of Niños Sanos, a pediatric obesity risk assessment tool, using anthropometric measures and blood biomarkers. Niños Sanos scores were inversely related to child BMI-for-age percentiles (p = 0.02), waist-for-height ratios (p = 0.05) and inversely related to blood biomarkers for the metabolic index (p = 0.03) and lipid index (p = 0.05) and positively related to anti-inflammatory index (p = 0.047). Overall, children with higher Niños Sanos scores had more healthful lipid, metabolic and inflammatory profiles, as well as lower BMI-for-age percentiles and waist-to height ratios, providing evidence for the criterion validity of the tool. Niños Sanos can be used by child obesity researchers, by counselors and medical professionals during clinic visits as a screening tool and by educators as a tool to set goals for behavior change.

Evaluation of anthropometric measures for assessment of cardiometabolic risk in early childhood.

OBJECTIVE: Waist-to-height ratio has been shown to be an important indicator of cardiometabolic risk. There are few studies evaluating this measure against existing measures of adiposity and cardiometabolic markers in early childhood. The objectives were: (i) to determine in young children the ability of waist-to-height ratio, BMI z-score, weight for length, and sum of skin fold thickness to predict cardiometabolic risk and (ii) to examine this association at ages 1, 3 and 5 years. DESIGN: Prospective cohort study. SETTING: A university hospital in Toronto, Ontario. PARTICIPANTS: Infants at 1 (n 406), 3 (n 112) and 5 years of age (n 94) born to mothers with and without gestational diabetes mellitus. RESULTS: Weight for length and BMI z-score demonstrated the strongest correlations with biochemical measures compared to waist-to-height ratio, including leptin (at 5 years, weight for length z-score: ρ = 0·65, P < 0·001; BMI z-score: ρ = 0·67, P < 0·001) and measures of insulin resistance (at 3 years, weight for length z-score: ρ = 0·25, P = 0·02; BMI z-score: ρ = 0·24, P = 0·02). The magnitude of associations between anthropometric measures and biochemical measures strengthened over time. Weight for length and BMI z-scores were moderately correlated with overall measures of fat mass as measured by dual-energy X-ray absorptiometry (ρ = 0·65, P = 0·00; ρ = 0·61, P = 0·01). CONCLUSIONS: Waist-to-height ratio was not superior to existing measures in predicting cardiometabolic risk in young children. BMI z-score is a preferred measure of adiposity between birth and 5 years of age.

Are Obesity Indices Useful for Detecting Subclinical Atheromatosis in a Middle-Aged Population?

OBJECTIVE: There is a close relationship between excess adiposity and cardiovascular disease. Although body mass index (BMI) is the most used approach to estimate excess weight, other anthropometric indices have been developed to measure total body and abdominal adiposity. Here, our objective was to assess the usefulness of these anthropometric indices to detect subclinical atheromatous disease. METHODS: A cross-sectional study with 6,809 middle-aged subjects (mean age, 57 [53-63] years) with low to moderate cardiovascular risk from the ILERVAS project. Measures of total body fat (BMI, Clínica Universidad de Navarra - Body Adiposity Estimator [CUN-BAE], and Deurenberg's formula) and central adiposity (waist and neck circumferences, conicity index, waist-to-height ratio, Bonora's equation, the A body adiposity index, and body roundness index) were performed in all participants. Bilateral carotid and femoral ultrasound vascular studies allowed the identification of subjects with plaque. -Results: All measured indices were significantly higher in males with subclinical carotid or femoral plaques (p ≤ 0.021 for all). Also, a positive and significant correlation between all indices and the number of affected territories was found (p ≤ 0.013 for all). From the ROC analysis, all measurements identified patients with asymptomatic atheromatosis but none of them helped make clinical decisions. Regarding females, the results were less conclusive. CONCLUSION: Obesity indices are related to subclinical atheromatosis, especially in men, in a large cohort of middle-aged subjects. However, the indices could not detect the presence of arterial plaque, so, when used in isolation, are unlikely to be decisive.

Assessing different anthropometric indices and their optimal cutoffs for prediction of type 2 diabetes and impaired fasting glucose in Asians: The Jinchang Cohort Study.

BACKGROUND: To study the association between anthropometric measurements and the risk of diabetes and impaired fasting glucose (IFG) and compare body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) to determine the best indicator and its optimal cutoffs for predicting type 2 diabetes and IFG. METHODS: A Chinese prospective (2011-2019) cohort named the Jingchang cohort that included 48 001 participants was studied. Using Cox proportional hazard models, hazard ratios (HRs) for incident type 2 diabetes or IFG per 1 SD change in BMI, WC, and WHtR were calculated. Area under the curve (AUC) was compared to identify the best anthropometric variable and its optimal cutoff for predicting diabetes. RESULTS: The association of BMI, WC, and WHtR with type 2 diabetes or IFG risk was positive in the univariate and multivariable-adjusted Cox proportional hazard models. Of all three indexes, the AUC of BMI was largest and that of WC was smallest. The derived cutoff values for BMI, WC, and WHtR were 24.6 kg/m2 , 89.5 cm, and 0.52 in men and 23.4 kg/m2 , 76.5 cm, and 0.47 in women for predicting diabetes, respectively. The derived cutoff values for BMI, WC, and WHtR were 23.4 kg/m2 , 87.5 cm, and 0.50 in men and 22.5 kg/m2 , 76.5 cm, and 0.47 in women for predicting IFG, respectively. [Correction added on 14 April 2020, after first online publication: '0' has been deleted from 'WC,0' in the first sentence.]. CONCLUSIONS: Our derived cutoff points were lower than the values specified in the most current Asian diabetes guidelines. We recommend a cutoff point for BMI in Asians of 23 kg/m2 and for WC a cutoff point of 89 cm in men and 77 cm in women to define high-risk groups for type 2 diabetes; screening should be considered for these populations.

Assessment of Nutritional Status and Dietary Pattern of a Rural Adult Population in Dry Zone, Sri Lanka.

The objective of this work was to describe average dietary intake, physical activity (PA) and nutritional status of the adult population of Girandurukotte, Sri Lanka. A cross-sectional survey, including one 24-h dietary recall, international physical activity questionnaire and anthropometric measurements was conducted in a representative sample of 120 adults. Mean (SD) for body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR) and waist to height ratio (WHtR) were 23.06(4.20) kg/m2, 85.6(9.5) cm, 0.95(0.05) and 0.55(0.07), respectively. Significant differences were observed in height, body fat %, body muscle %, hip circumference, WHR, WHtR, fat mass index and hand grip strength between men and women (p < 0.05). Among the study group, 35.8% were overweight, 13.3% were obese and 11.7% were underweight. Central obesity was observed in 59.2%, 97.5% and 74.2% of adults by WC, WHR and WHtR, respectively. Mean (SD) dietary diversity score and dietary diversity score with portions were 4.77(1.28) and 4.09(1.32), respectively. Mean daily intake of protein, fruits, vegetables and dairy were well below the national recommendations. Despite the higher PA level, nearly half the population was overweight and obese and the majority was centrally obese. None of the dietary diversity scores met the optimal levels, suggesting poor quality and quantity of the diet.

Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables.

BACKGROUND: Excess body fat has been growing alarmingly among adolescents, especially in low income and middle income countries where access to health services is scarce. Currently, the main method for assessing overweight in adolescents is the body mass index, but its use is criticized for its low sensitivity and high specificity, which may lead to a late diagnosis of comorbidities associated with excess body fat, such as cardiovascular diseases. Thus, the aim of this study was to develop a computational model using linear regression to predict obesity in adolescents and compare it with commonly used anthropometric methods. To improve the performance of our model, we estimated the percentage of fat and then classified the nutritional status of these adolescents. METHODS: The model was developed using easily measurable socio-demographic and clinical variables from a database of 772 adolescents of both genders, aged 10-19 years. The predictive performance was evaluated by the following metrics: accuracy, sensitivity, specificity, and area under ROC curve. The performance of the method was compared to the anthropometric parameters: body mass index and waist-to-height ratio. RESULTS: Our model showed a high correlation (R = 0.80) with the body fat percentage value obtained through bioimpedance. In addition, regarding discrimination, our model obtained better results compared to BMI and WHtR: AUROC = 0.80, 0.64, and 0.55, respectively. It also presented a high sensitivity of 92% and low false negative rate (6%), while BMI and WHtR showed low sensitivity (27% and 9.9%) and a high false negative rate (65% and 53%), respectively. CONCLUSIONS: The computational model of this study obtained a better performance in the evaluation of excess body fat in adolescents, compared to the usual anthropometric indicators presenting itself as a low cost alternative for screening obesity in adolescents living in Brazilian regions where financial resources are scarce.

The Contribution of Diet Quality to Socioeconomic Inequalities in Obesity: A Population-based Study of Swiss Adults.

Socioeconomically disadvantaged people are disproportionally more likely to develop obesity and obesity-related diseases. However, it remains unclear to what extent diet quality contributes to socioeconomic inequalities in obesity. We aimed to assess the role of diet quality in the association between socioeconomic status (SES) and obesity. Data originated from the national nutrition survey, a cross-sectional sample of the adult Swiss population (N = 1860). We used education and income as proxies for SES; calculated the Alternate Healthy Eating Index (AHEI) as a measure of diet quality; and used body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) as obesity markers. We applied counterfactual mediation modelling to generate odds ratios, 95% confidence intervals, and the proportion mediated by diet quality. Individuals with less than a tertiary education were two to three times more likely to be obese, regardless of the marker (OR (95% CI): 3.36 (2.01, 5.66) using BMI; 2.44 (1.58, 3.75) using WC; 2.48 (1.63, 3.78) using WHR; and 2.04 (1.43, 2.96) using WHtR). The proportion of the association between educational level and obesity that was mediated by diet quality was 22.1% using BMI, 26.6% using WC, 31.4% using WHtR, and 35.8% using WHR. Similar findings were observed for income. Our findings suggest that diet quality substantially contributes to socioeconomic inequalities in obesity while it does not fully explain them. Focusing efforts on improving the diet quality of disadvantaged groups could help reduce social inequalities in obesity.

Average acceleration and intensity gradient of primary school children and associations with indicators of health and well-being.

Average acceleration (AvAcc) and intensity gradient (IG) have been proposed as standardised metrics describing physical activity (PA) volume and intensity, respectively. We examined hypothesised between-group PA differences in AvAcc and IG, and their associations with health and well-being indicators in children. ActiGraph GT9X wrist accelerometers were worn for 24-h·d-1 over 7days by 145 children aged 9-10. Raw accelerations were averaged per 5-s epoch to represent AvAcc over 24-h. IG represented the relationship between log values for intensity and time. Moderate-to-vigorous PA (MVPA) was estimated using youth cutpoints. BMI z-scores, waist-to-height ratio (WHtR), peak oxygen uptake (VO2peak), Metabolic Syndrome risk (MetS score), and well-being were assessed cross-sectionally, and 8-weeks later. Hypothesised between-group differences were consistently observed for IG only (p < .001). AvAcc was strongly correlated with MVPA (r = 0.96), while moderate correlations were observed between IG and MVPA (r = 0.50) and AvAcc (r = 0.54). IG was significantly associated with health indicators, independent of AvAcc (p < .001). AvAcc was associated with well-being, independent of IG (p < .05). IG was significantly associated with WHtR (p < .01) and MetS score (p < .05) at 8-weeks follow-up. IG is sensitive as a gauge of PA intensity that is independent of total PA volume, and which relates to important health indicators in children.

Assessment of body adiposity preterm children at the beginning of school age.

In Poland, like in other developed countries, 6.3% of babies are born prematurely. Preterm babies suffer from numerous health issues. The aim of the study was to assess body adiposity in preterm children at the beginning of school age. The study population consisted of 61 children aged 5 to 8 years who had been born preterm. We performed standard anthropometric measurements according to internationally recognized methodology. The following parameters were used: Body Weight (BW), Body Heigh (BH), Waist Circumference (WC), Body Mass Index (BMI), Waist to Height Ratio (WtHR), Triceps Skinfold Thickness (TST), Subscapular Skinfold Thickness (SST), Umbilical Skinfold Thickness (UST), as well as total sum of the above parameters, or the Global Adiposity (GA). The anthropometric measurements were taken according to international anthropometric methodology. All anthropometric parameters for body adiposity were significantly lower in the study population than in the reference system. We found a statistically significant relationship between: the number of fetuses and: UST (p = 0.007) and z-score UST (p = 0.030); combined number of unfavorable perinatal events: and UST (p = 0.013) and z-score UST (p = 0.007), GA (p = 0.038) and z-score GA (p = 0.040). Preterm children who are about to start school have significantly lower values of anthropometric features that characterize their body adiposity. In preterm children at early school age number of fetuses diversifies UST; and combined number of unfavorable perinatal events diversifies UST and GA. It is recommended that more studies are conducted on positively oriented modification of body adiposity in these children, as well as its long term monitoring.

Assessment of body composition changes during a combined intervention for the treatment of childhood obesity.

OBJECTIVE: One of the main objectives in the treatment of childhood obesity is to reduce the percentage of body fat mass without negatively affecting fat-free mass (FFM) and, consequently, longitudinal growth. The aim of this study was to analyze the changes that take place in body compartments in a group of patients with obesity under combined treatment. METHODS: This was a longitudinal study with 109 children with obesity 9.1 to 13.9 y of age included in a combined dietary-behavioral-physical activity intervention. Weight, height, skinfold thickness, and waist circumference were registered, and body mass index (BMI), fat mass index (FMI), FFM and waist-to-height ratio (WHR) were calculated over a period of 12 mo. The BMI z-score allowed us to establish two groups: obesity (n = 50) and severe obesity (n = 59). A nutritional improvement was considered when a decrease of BMI z-score of the initial value occurred after 12 mo of follow-up. RESULTS: The improvement in nutritional status reached 61.5% (n = 67). In the obesity group with nutritional improvement (n = 32), FMI significantly decreased (P < 0.005) and there were no significant differences in weight, height z-score, FFM, and WHR throughout the combined intervention. In the severe obesity group with nutritional improvement (n = 35), there were no significant differences in weight, height z-score, FMI, FFM, and WHR throughout combined intervention. CONCLUSIONS: Maintaining a constant weight in the mid- to long term to improve nutritional status would be adequate in children with infantile-juvenile obesity. However, maintaining a steady weight would not be sufficient for those patients diagnosed with severe obesity.

Higher socioeconomic status is related to healthier levels of fatness and fitness already at 3 to 5 years of age: The PREFIT project.

This study aimed to analyse the association between socioeconomic status (SES) and fatness and fitness in preschoolers. 2,638 preschoolers (3-5 years old; 47.2% girls) participated. SES was estimated from the parental educational and occupational levels, and the marital status. Fatness was assessed by body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR). Physical fitness components were assessed using the PREFIT battery. Preschoolers whose parents had higher educational levels had lower fatness (P < 0.05). BMI significantly differed across occupational levels of each parent (P < 0.05) and WHtR across paternal levels (P = 0.004). Musculoskeletal fitness was different across any SES factor (P < 0.05), except handgrip across paternal occupational levels (P ≥ 0.05). Preschoolers with high paternal occupation had higher speed/agility (P = 0.005), and those with high or low maternal education had higher VO2max (P = 0.046). Odds of being obese and having low musculoskeletal fitness was lower as SES was higher (P < 0.05). Those with married parents had higher cardiorespiratory fitness than single-parent ones (P = 0.010). School-based interventions should be aware of that children with low SES are at a higher risk of obesity and low fitness already in the first years of life.

Value of reduced glomerular filtration rate assessment with cardiometabolic index: insights from a population-based Chinese cohort.

BACKGROUND: Recent studies have suggested that cardiometabolic index (CMI), a novel estimate of visceral adipose tissue, could be of use in the evaluation of cardiovascular risk factors. However, the potential utility and clinical significance of CMI in the detection of reduced estimated glomerular filtration rate (eGFR) remains uncertain. The purpose of this study was to investigate the usefulness of CMI in assessing reduced eGFR in the general Chinese population. METHODS: This cross-sectional analysis included 11,578 participants (mean age: 53.8 years, 53.7% females) from Northeast China Rural Cardiovascular Health Study (NCRCHS) of general Chinese population (data collected from January 2013 to August 2013). CMI was calculated by triglyceride to high density lipoprotein cholesterol ratio multiply waist-to-height ratio. Reduced eGFR was defined as eGFR< 60 ml/min per 1.73m2. Multivariate regressions were performed to determine CMI's association with eGFR value and eGFR reduction, ROC analyses were employed to investigate CMI's discriminating ability for decreased eGFR. RESULTS: The prevalence of reduced eGFR was 1.7% in males and 2.5% in females. CMI was notably more adverse in reduced eGFR groups, regardless of genders. In fully adjusted multivariate linear models, each 1 SD increment of CMI caused 3.150 ml/min per 1.73m2 and 2.411 ml/min per 1.73m2 loss of eGFR before CMI reached 1.210 and 1.520 in males and females, respectively. In logistic regression analyses, per 1 SD increase of CMI brought 51.6% additional risk of reduced eGFR in males while caused 1.347 times of risk in females. After divided into quartiles, people in the top quartile of CMI had higher adjusted ORs of having reduced eGFR, with ORs of 4.227 (1.681, 10.627) and 3.442 (1.685-7.031) for males and females respectively. AUC of CMI was revealed to be 0.633 (0.620-0.646) in males and 0.684 (0.672-0.695) in females. CONCLUSIONS: Higher CMI was independently associated with greater burden of reduced eGFR, highlighting VAT distribution and dysfunction as a potential mechanism underlying the association of obesity with kidney damage and adverse cardiovascular outcomes. The findings from this study provided important insights regarding the potential usefulness and clinical relevance of CMI in the detection of reduced eGFR among general Chinese population.