UNASSIGNED: Heterogenous deposition and homeostasis roles of physiologic and ectopic adipose tissues underscore the impact of fat compartmentalization on cardiometabolic risk. We aimed to characterize the distribution of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), epicardial adipose tissue (EAT), and liver fat on magnetic resonance imaging (MRI), and evaluate their associations with anthropometric indices and adverse cardiac remodeling.
UNASSIGNED: In this cross-sectional observational study, 149 Asian adults (57.0 ± 12.8 years; 65% males) with at least one cardiometabolic risk factor underwent multiparametric fat and cardiovascular MRI. Anthropometric indices included body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and bioimpedance body fat mass (BFM). Associations between fat depots and anthropometric measures as well as cardiac remodeling features were examined as a single cohort and stratified by type 2 diabetes mellitus (T2DM) status.
UNASSIGNED: VAT and SAT had opposing associations with liver fat and EAT. Therefore the VAT/SAT ratio was explored as an integrated marker of visceral adiposity. VAT/SAT was positively associated with EAT (β=0.35, P<0.001) and liver fat (β=0.32, P=0.003) independent of confounders. Of the anthropometric measurements assessed, only WHR was independently associated with VAT/SAT (β=0.17, P=0.021). Individuals with T2DM had higher VAT and lower SAT compared to those without T2DM, translating to a significantly higher VAT/SAT ratio. EAT volume was independently associated with adverse features of cardiac remodeling: increased left ventricular (LV) mass (β=0.24, P=0.005), larger myocyte volume (β=0.26, P=0.001), increased myocardial fibrosis (β=0.19, P=0.023), higher concentricity (β=0.18, P=0.035), and elevated wall stress (β=-0.18, P=0.023).
UNASSIGNED: Multiparametric MRI revealed abdominal VAT and SAT have differential associations with anthropometric indices and ectopic fats in a single cohort of Asians at risk of cardiometabolic disease. People with T2DM have expanded VAT and diminished SAT, endorsing the VAT/SAT ratio beyond usual anthropometric measurements as a marker for multiorgan visceral fat composition. Among the fat depots examined, EAT is uniquely associated with adverse cardiac remodeling, suggesting its distinctive cardiometabolic properties and implications.

Eating behaviors, which are shaped during childhood, are one of the important factors influencing children\'s growth. This study aimed to investigate the variations in eating behaviors among Vietnamese preschool children aged 3 to 6 years using the Children Eating Behavior Questionnaire (CEBQ) and their association with anthropometric Z-scores. A cross-sectional study was conducted on 10 172 children from 36 to 72 months old, recruited from three different socioeconomic regions of Hanoi. Differentiation of eating behaviors between two sexes was observed across all age groups, but most obvious at 36 to 48 months of age. The subscales of emotional overeating (EOE), enjoyment of food (EF), and desire to drink (DD) were higher in 60- to 72-month age groups and vice versa for slowness in eating (SE) and emotional undereating (EUE) subscales. Analyses using the general linear model showed that CEBQ subscales were associated with anthropometric Z-scores in both girls and boys.

Epilepsy is a frequent chronic and genetic brain disease. In diagnose of genetic and craniofacial disease, the face is one of the gold standard phenotypic features. This study was carried out to determine the angle and linear measurements of face region in Turkish healthy and epilepsy subjects, and to apply a feature selection method to identify the most important attributes that affect epilepsy decision. The retrospective and observational study was conducted with 120 subjects with epilepsy aged between 18 to 60 years (56 males; 64 females) and 60 healthy subjects aged between 18 and 55 years (29 males, 31 females). Pyramidal angle performed from 3 reference points, nasal bone length, the width of piriform aperture, nasofrontal angle, nasolabial angle, distance between glabella and nasion were measured on computed tomography. Also, we used supervised machine learning to learn classification models to detect epilepsy as our dataset has class label where 1 means epilepsy, 2 means healthy. The well-known classification model learning algorithms implemented in Weka (with version 3.8.6) machine learning toolkit were applied. All parameters excluding nasal bone length were higher in epilepsy patients than in healthy subjects. Also, there was a significant difference in nasal pyramidal angle nasal bone, nasal pyramidal angle nasal tip, piriform aperture, and nasal bone lengths between epilepsy and healthy subjects. However, age related changes for healthy subjects were no seen in healthy subjects. In epilepsy subjects there was a significant difference in 6 measurements all nasal pyramidal angles, piriform aperture width, nasofrontal angle, and nasolabial angle. Gender related changes were found in only nasal pyramidal angle nasal root and nasal bone of healthy subjects, in nasal pyramidal angle nasal bone, nasal bone length, nasofrontal angle of epilepsy subjects. We can say epilepsy may affect the some facial parameters and these, although anthropometric measurements are affected by age and gender parameters. Comprehensive knowledge of this region\'s normal references ranges is essential for planning, proper selection of silicone implants or osteotomy determining the limitations of the surgical field and minimizing the risk of complication and performing aesthetic facial surgery or rhinoplasty in epilepsy patients.

Early-life family meal participation has been associated with several aspects of nutritional health, but longitudinal associations with linear growth have not yet been investigated. The aim of this study was to investigate whether family meal participation at 12 months of age associates with anthropometric measures 3 years later. We used follow-up data from children born to mothers in the Norwegian Fit for Delivery trial (NFFD) and included 368 first-borns with dietary and anthropometric data at 12 months and 4 years of age. We treated the sample as a cohort and conducted subgroup analyses by randomization status. A family meal participation score was used as exposure, and weight, height, and body mass index (BMI) as outcomes in crude and multivariable linear regression models adjusted for maternal education, randomization status, and child sex.Higher family meal participation score at 12 months was positively associated with length at 12 months (B = 0.198, 95% CI 0.028, 0.367, p = 0.022) and 4 years (B = 0.283, 95% CI 0.011, 0.555, p = 0.042) in multivariable models. After additional adjustment for maternal height the associations attenuated and were no longer significant. An inverse association with BMI at 4 years of age was observed in children born to mothers that had been exposed to the NFFD intervention (B = -0.144, 95% CI -0.275, -0.014, p = 0.030), but attenuated after adjustment for maternal BMI.The longitudinal association observed between early family meal participation and child height was largely explained by maternal height. The relationship with BMI differed according to maternal participation in a lifestyle intervention trial during pregnancy.

Non-rigid deformation of a template to fit 3D scans of human subjects is widely used to develop statistical models of 3D human shapes and poses. Complex optimization problems must be solved to use these models to parameterize scans of pregnant women, thus limiting their use in antenatal point-of-care tools in low-resource settings. Moreover, these models were developed using datasets that did not contain any 3D scans of pregnant women. In this study, we developed a statistical shape model of the torso of pregnant women at greater than 36 weeks of gestation using fast and simple vertex-based deformation of a cylindrical template constrained along the radial direction. The 3D scans were pre-processed to remove noisy outlier points and segment the torso based on anatomical landmarks. A cylindrical template mesh T was then fitted onto the segmented scan of the torso by moving each vertex of T in the direction of the radial vector. This process is computationally inexpensive taking only 14.80 seconds to deform a template with 9090 vertices. Principal component analysis (PCA) was performed on the deformed vertex co-ordinates to find the directions of maximum variance. The first 10 principal vectors of our model explained 79.03% of the total variance and reconstructed unseen scans with a mean error of 2.43 cm. We also used the PCA weights of the first 10 principal vectors to accurately predict anthropometric measurements of the pregnant women.

BACKGROUND: Malnutrition and sarcopenia significantly increase the risk of intra-hospital delirium, particularly among older adults. Given the potential correlation between calf circumference (CC) and these conditions, CC emerges as a promising predisposing factor for delirium. This study aims to investigate the independent association between delirium and anthropometric parameters, focusing on evaluating CC\'s predictive capacity for intra-hospital delirium risk. Additionally, it aims to compare CC\'s predictive performance with the widely used Mini Nutritional Assessment (MNA), while also considering potential gender disparities.
METHODS: This is a retrospective study which enrolled patients aged ≥ 65 years from September 2021 to March 2022 at the Padova Hospital (Italy). Physical characteristics, intra-hospital delirium incidence, and body composition were assessed. Sarcopenia was diagnosed using the 2019 European Consensus criteria.
RESULTS: Among 207 subjects, delirium affected 19% of patients. CC showed a significant association with intra-hospital delirium among the analyzed anthropometric parameters. ROC curves indicated that CC\'s predictive capacity for delirium onset was comparable to MNA (p = 0.98), particularly in women. In a multivariable logistic regression model, female gender and higher cognitive and CC scores emerged as protective factors against delirium onset, with each unit increase in CC associated with a 24% reduction in the odds of delirium. Conversely, sarcopenia did not significantly influence delirium onset.
CONCLUSIONS: CC shows promise as a predisposing factor for intra-hospital delirium, similar to MNA, albeit with significant gender differences. CC could serve as a valuable tool for assessing delirium risk among female patients. Further validation of these findings is necessary through larger-scale studies.

OBJECTIVE: Current measures of frailty often rely on subjective assessments or complex scoring systems. This study aims to investigate the utility of a novel anthropometric measure, the Weight-Adjusted Waist Index (WWI), as a simple and objective predictive marker for frailty in older adults.
METHODS: This cross-sectional study included 847 patients aged 65 years and older. Comprehensive geriatric assessments and anthropometric measurements were conducted. Frailty was diagnosed using the Clinical Frailty Scale (CFS). The association between WWI and frailty was analyzed using multivariate logistic regression analysis.
RESULTS: The mean age of the participants was 74.9 ± 6 years, with 56.3% (n = 477) being women and 14.8% (n = 125) classified as frail. The frail group had a significantly higher WWI than the non-frail group (p < 0.001). In multivariate logistic regression analysis, WWI remained significantly associated with frailty, even after adjusting for other potential confounding factors (OR = 2.51, 95% CI 1.77-3.57, p < 0.001). The predictive ability of WWI for frailty was measured by the area under the receiver operating characteristic (ROC) curve, which was 0.705 (95% CI 0.67-0.73; p < 0.001). The optimal WWI threshold for predicting frailty was identified as > 12.
CONCLUSIONS: The Weight-Adjusted Waist Index shows significant potential as a simple and objective predictive marker for frailty in older adults.

BACKGROUND: The aim of this study was to investigate the relationship between the dietary oxidative balance score (OBS), an indicator of oxidative stress, anthropometric measures and socioeconomic factors in women at low risk of cardiovascular disease.
METHODS: The participants\' 3-day dietary intake, demographic information, anthropometric measurements and blood pressure values were recorded, and the Framingham Risk Score (FRS) and OBS values were determined. Oxidative balance score consists of prooxidant and antioxidant scores. Prooxidant scores were calculated from red meat consumption, total iron and polyunsaturated fatty acid intake, alcohol and cigarette consumption parameters, while antioxidant scores were calculated by assessing cruciferous consumption, dietary total vitamin C, vitamin E, β-carotene, β-cryptoxanthin, β-carotene, β-cryptoxanthin, lycopene, lutein+zeaxanthin and selenium intake.
RESULTS: A total of 145 women were included in the study. Education level was associated with anthropometric measurements, income status with antioxidant and prooxidant scores, and exercise status with OBS (p<0.05). Weight, waist, hip, BMI, waist/hip, and waist/height ratio were significantly lower in subjects with low prooxidant score (p<0.05); there was no significant relationship between age, systolic, diastolic, FRS (p>0.05).
CONCLUSIONS: The study, conducted in healthy women, showed that dietary oxidative balance scoring is promising in preventing the development of CVD and reducing the burden of disease, and that prospective cohort studies should be conducted in this area.

Anthropometric prevalence indicators such as stunting, wasting, and underweight are widely-used population-level tools used to track trends in childhood nutrition. Threats to the validity of these data can lead to erroneous decision making and improper allocation of finite resources intended to support some of the world\'s most vulnerable populations. It has been demonstrated previously that aggregated prevalence rates for these indicators can be highly sensitive to biases in the presence of non-directional measurement errors, but the quantitative relationship between the contributing factors and the scale of this bias has not been fully described. In this work, a Monte Carlo simulation exercise was performed to generate high-statistics z-score distributions with a wide range of mean and standard deviation parameters relevant to the populations in low- and middle-income countries (LMIC). With the important assumption that the distribution\'s standard deviation should be close to 1.0 in the absence of non-directional measurement errors, the shift in prevalence rate due to this common challenge is calculated and explored. Assuming access to a given z-score distribution\'s mean and standard deviation values, this relationship can be used to evaluate the potential scale of prevalence bias for both historical and modern anthropometric indicator results. As a demonstration of the efficacy of this exercise, the bias scale for a set of 21 child anthropometry datasets collected in LMIC contexts is presented.

BACKGROUND: This study aims to investigate the association between malnutrition and early childhood caries (ECC) and caries activity among children aged 3-5 years, in order to provide a theoretical basis for preventing and blocking ECC and improving malnutrition.
METHODS: Children aged 3-5 years from six kindergartens in Zhao Xian, China were enrolled in this study. The decayed, missing, filled teeth (dmft) of all children were examined and recorded. The Cariostat method was used to detect dental caries activity, collect anthropometric data and measure haemoglobin concentration. Parents were asked to complete a questionnaire on the general characteristics and oral health behaviour of the participants. The \"Growth Standards for Chinese Children Under 7 Years Old\" was used to assess the nutritional status of all participating children. Wilcoxon rank sum test and multivariate logistic regression analysis were used to analyse and evaluate the relationship between ECC, caries activity and malnutrition.
RESULTS: A total of 635 children who met the criteria were included in this study. After adjusting for confounding factors, logistic regression showed that the risk of ECC was significantly increased in underweight children compared with normal children (OR = 5.43, P < 0. 05); compared with normal children, the risk of ECC decreased in overweight and obese children (OR = 0.31, P < 0.001); underweight children had higher caries severity than normal weight children, and the difference was statistically significant (OR = 2.69, P < 0. 05); stunted children had higher caries severity than normal weight children and the difference was statistically significant (OR = 2.28, P < 0.05); underweight was positively associated with caries activity and the association was statistically significant (OR = 2.33, P < 0. 05); stunting was positively associated with caries activity and the association was statistically significant (OR = 2.1, P < 0.05); overweight and obesity were negatively associated with caries activity and the association was statistically significant (OR = 0.61, P < 0.05).
CONCLUSIONS: The risk of ECC among children aged 3-5 years was positively associated with undernutrition and negatively associated with overnutrition. The severity of ECC among children aged 3-5 years was positively associated with undernutrition. The caries activity among children aged 3-5 years was positively associated with undernutrition and negatively associated with overnutrition.