Efficient Model-Based Anthropometry under Clothing Using Low-Cost Depth Sensors.

Measuring human body dimensions is critical for many engineering and product design domains. Nonetheless, acquiring body dimension data for populations using typical anthropometric methods poses challenges due to the time-consuming nature of manual methods. The measurement process for three-dimensional (3D) whole-body scanning can be much faster, but 3D scanning typically requires subjects to change into tight-fitting clothing, which increases time and cost and introduces privacy concerns. To address these and other issues in current anthropometry techniques, a measurement system was developed based on portable, low-cost depth cameras. Point-cloud data from the sensors are fit using a model-based method, Inscribed Fitting, which finds the most likely body shape in the statistical body shape space and providing accurate estimates of body characteristics. To evaluate the system, 144 young adults were measured manually and with two levels of military ensembles using the system. The results showed that the prediction accuracy for the clothed scans remained at a similar level to the accuracy for the minimally clad scans. This approach will enable rapid measurement of clothed populations with reduced time compared to manual and typical scan-based methods.

Association of novel anthropometric indices with prevalence of kidney stone disease: a population-based cross-sectional study.

BACKGROUND: The purpose of this study was to investigate the correlation between novel anthropometric indices, specifically the body shape index (ABSI) and body roundness index (BRI), and the prevalence of kidney stone disease (KSD) within the general population of the United States (U.S.). METHODS: This study employed a cross-sectional analysis of participants in the National Health and Nutrition Examination Survey from 2007 to 2020. Various statistical methods, including multivariable logistic regression analysis, restricted cubic spline (RCS) plot curve, receiver operating characteristic (ROC) curves, and subgroup analysis, were utilized to examine the association between ABSI and BRI and the risk of KSD. RESULTS: A total of 39,251 individuals were included in the study. First, the RCS plot presented that a linear positive association was found between ABSI and BRI and KSD risk. Second, the results of the multivariable logistic regression analysis revealed that, compared to the lowest quartile, the adjusted odds ratios (with 95% confidence intervals) for the prevalence of KSD across the quartiles of ASBI and BRI were 0.94 (0.67, 1.30), 1.55 (1.15, 2.10), and 1.74 (1.28, 2.35), respectively, in the fully adjusted model. Third, the ROC curve demonstrated that the area under the curve of ABSI, and BRI was significantly higher than traditional anthropometry or body composition measures, including BMI and waist circumference. CONCLUSIONS: The findings of our study indicate that the discriminant ability of ABSI and BRI for KSD is significantly superior to that of BMI and waist circumference. Consequently, ABSI and BRI have the potential to more accurately identify an individual's risk of developing KSD in a clinical setting.

Short-term chemotherapy-related complications and undernutrition in children diagnosed with cancer at Korle Bu Teaching Hospital, Accra, Ghana: A prospective cohort study.

Undernutrition in children with cancer is associated with complications during cancer therapy. The study objective was to determine the association between specific anthropometric parameters and short-term chemotherapy-related complications and mortality. This was a hospital-based, prospective cohort study of children, age ≤12 years, with a new cancer diagnosis at the Paediatric Oncology Unit, Korle Bu Teaching Hospital, Ghana. Socio-demographic information, cancer characteristics and anthropometric measurements were obtained at enrolment. Participants were followed up for twelve weeks from commencement of chemotherapy and selected treatment-related complications such as anaemia and thrombocytopenia requiring transfusions, prolonged neutropenia resulting in treatment delays, febrile neutropenia, mucositis and death were recorded. A total of 133 participants were recruited with a median age of 4.5 years. Eighty-one (60.9%) were diagnosed with solid tumours, 31 (23.3%) had leukaemias and 21 (15.8%) had lymphomas. Of the anthropometric parameters assessed, only arm anthropometry using upper arm muscle area (UAMA) and mid-upper arm circumference (MUAC) were associated with complications. Participants with wasting were more likely to develop anaemia and mucositis. However, the incidence of prolonged neutropenia was significantly higher among participants with average UAMA (p = 0.043) and low average UAMA (p = 0.049) compared to those with low UAMA. Risk of neutropenia was also significantly less among those with wasting by MUAC compared to those well-nourished (p = 0.045). Twenty-three participants (17.3%) died with a greater proportion (11/44; 25%) occurring in those who were wasted using MUAC. These findings underscore the need for nutritional surveillance at diagnosis and during chemotherapy, particularly where co-morbid disease is prevalent.

Association between Lifelines Diet Score (LLDS) and some novel anthropometric indices, including Body Roundness Index (BRI), A Body Shape Index (ABSI), Visceral Adiposity Index (VAI), and Body Adiposity Index (BAI), in Iranian women: a cross-sectional study.

BACKGROUND: Anthropometry is a reliable method to assess obesity status, and previous studies have shown the association of several dietary quality scores with obesity using anthropometric indices. This study aimed to evaluate the association between LLDS and anthropometric measurements. METHODS: A total of 217 women between the ages of 18 and 48 participated in the study. Anthropometric values, biochemical tests, and body composition were assessed for each participant using standard protocols and methods. The LLDS was determined based on 12 components using a reliable and valid food frequency questionnaire (FFQ) that contained 147 items. RESULTS: We detected a marginally significant inverse association between the LLDS and VAI scores in the second tertile. Study participants in the second tertile of LLDS had lower odds of having high VAI than those in the reference tertile after adjusting for age, energy intake, physical activity, education, and economic status (OR: -0.16; 95% CI: -0.8, 0.06; P = 0.06). There was no statistically significant trend for the association between LLDS and all assessed anthropometric indices, including BRI, ABSI, VAI, and BAI, across tertiles of LLDS in the crude and all adjusted models (P-trend > 0.05). CONCLUSIONS: There was no significant association between LLDS and some novel anthropometric indices, including BRI, ABSI, VAI, and BAI. However, after adjusting for probable confounders, a marginally significant inverse association between LLDS and VAI was detected.

The influence of seated postures and anthropometry on lap belt fit in vehicle occupants: A 3D computed tomography study.

OBJECTIVE: In vehicle frontal collisions, it is crucial that the lap belt is designed to engage with the anterior superior iliac spine (ASIS) of occupants for a reliable restraint. This study aims to understand the influence of different seated postures on the geometrical relationship of the seat belt and the pelvis for various occupants using 3D upright and supine computed tomography (CT) systems. METHODS: The 3D shapes of bones and soft tissues around the pelvis were acquired through a CT scan for 30 participants. They were seated in a rigid seat equipped with a lap belt simulating the front seat of a small car, and wore a lap belt in three seated postures: upright, slouched and reclined. Parameters related to the likelihood of submarining occurrences, such as belt-ASIS overlap (an index for assessing the potential engagement of the lap belt with the ASIS) and the belt-pelvis angle (the difference between the belt angle and the normal direction of the anterior edge of the ilium) were compared. RESULTS: It was observed that the pelvis angle tilted rearward as the hip point was positioned forward and seatback angle increased. This can be seen in the slouched and reclined posture. The belt-pelvis angle was comparable between the slouched and the reclined postures, and was closer to zero (indicating that the lap belt path is closer to perpendicular to the anterior edge of the ilium) compared to the upright posture. In contrast, the belt-ASIS overlap increased with an increasing flesh margin of the ASIS and shallower belt angle. This suggests that the belt-pelvis angle is influenced by the seated posture whereas the belt-ASIS overlap is dependent more on an individual's anthropometry. The plot of belt-pelvis angle and belt-ASIS overlap exhibited significant variability among participants. CONCLUSIONS: The belt-pelvis angle and the belt-ASIS overlap of individuals will provide valuable information for understanding the current belt-fit location and predicting submarining occurrences for individuals in various postures when designing restraint systems.

Performance of mid-upper arm circumference to identify adolescents with obesity and metabolic syndrome: NHANES 2011-2018 analysis.

BACKGROUND: Mid-upper arm circumference (MUAC) was recommended for screening of adolescents with obesity, although its diagnostic performance with respect to high-precision assessment of body composition remains unknown. OBJECTIVE: To evaluate the diagnostic performance of MUAC in identifying obesity and metabolic syndrome in U.S. adolescents. METHODS: A cross-sectional study was conducted using National Health and Nutrition Examination Survey (NHANES) data (2011-2018) of adolescents aged 12-19. We calculated the area under the receiver operating characteristic curve, sensitivity, specificity, positive and negative predictive values and likelihood ratios of MUAC in identifying obesity and metabolic syndrome. RESULTS: In our study, data of 5496 adolescents, including 2665 females, were analysed. The prevalence of obesity was higher in boys (14%) than girls (10%), whilst metabolic syndrome was more common in males (2.6%) than females (1.7%). The area under the curve (AUC) of MUAC in identifying obesity was 0.69 in boys and 0.86 in girls, whilst the AUC of MUAC in identifying metabolic syndrome was 0.91 in boys and 0.87 in girls. The optimal MUAC cut-off for identifying adolescents with obesity was 28.3 cm in boys (sensitivity: 64.8%, specificity: 85.5%) and 30.8 cm in girls (sensitivity: 67.9%, specificity: 90.1%). CONCLUSIONS: MUAC was a good indicator of both obesity and metabolic syndrome, with higher accuracy in girls.

Does excess body weight accelerate immune aging?

BACKGROUND: Overweight and obesity in older adults increase the risk of a range of comorbidities by sustaining chronic inflammation and thus enhancing immunosenescence. This study aimed to assess whether excess body mass affected disproportion in T lymphocytes. Therefore, the study was designed to explain whether excess body mass in older individuals affected the disproportion in numbers of T lymphocytes and whether anthropometric indices and immune risk profile expressed as CD4/CD8 ratio are diagnostically useful in the analysis of immunosenescence. MATERIALS & METHODS: One hundred three individuals aged 73.6 ± 3.1 years were allocated to the normal body mass (body mass index (BMI) 18.5-24.9 kg/m2,n = 39), the pre-obesity (BMI 25.0-29.9 kg/m2, n = 44) or the obesity (BMI ≥30.0 kg/m2, n = 20) group, based on WHO recommendations. Details on the subjects' medical history and lifestyle were obtained by health questionnaire. Anthropometric analysis was performed by bioelectrical impedance method, biochemical analysis was made by the automatic analyzer and ELISA immunoassays, and T and B lymphocyte counts were determined by eight-parameter flow cytometry. Additionally, visceral adiposity index, body adiposity index (BAI), and body shape index (ABSI) were evaluated based on body circumference, BMI and lipid-lipoprotein profile measurements. RESULTS: The highest percentage of CD3+CD4+ T lymphocytes (59.4 ± 12.6 %) and the lowest CD3+CD8+ T lymphocytes (31.6 ± 10.0 %) were noted in patients the obesity group. The highest cut-off value of 1.9 for CD4/CD8 ratio was recorded in the normal body mass vs pre-obesity model. CD4/CD8 ratio > 2.5 was recorded in >20 % of our pre-obesity and obesity groups while 64.5 % of the normal body mass group had CD4/CD8 ratio < 1. High diagnostic usefulness was demonstrated for both BAI and lipid accumulation product (LAP) (AUC values of ~0.800 and ~ 0.900 respectively) in three models: normal body mass vs pre-obesity, normal body mass vs obesity, and pre-obesity vs obesity. CONCLUSION: The odds ratios (OR) for CD4/CD8 ratio in the normal body mass vs obesity model (OR = 16.1, 95%CI 3.8-93.6) indicated a potential diagnostic value of T lymphocytes for clinical prognosis of immune aging in relation to excess body weight in older adults. High values of AUC obtained for the following models: CD4/CD8 + BAI (AUC = 0.927), CD4/CD8 + LAP (AUC = 1.00), CD4/CD8 + ABSI (AUC = 0.865) proved to provide excellent discrimination between older adults with obesity and with normal body mass.

Smartphone derived anthropometrics: Agreement between a commercially available smartphone application and its parent application intended for use at point-of-care.

BACKGROUND & AIMS: Smartphone applications can now automate body composition and anthropometric measurements remotely, prompting applications intended for use at point-of-care to provide commercially available smartphone applications intended for personal use. However, the agreement between such anthropometrics remain unclear. METHODS: A total of 123 apparently healthy participants (F: 69; M: 54; age: 28.1 ± 11.3; BMI: 26.9 ± 5.9) completed consecutive body composition scans using a 3D smartphone application intended for personal use (MeThreeSixty; MTS) and it stationary counterpart intended for use in practice (Mobile Fit Booth; MFB). Agreement between devices were evaluated using root mean square error (RMSE), Bland-Altman analyses, and linear regression for all measurements, and additional equivalence testing was conducted for all circumference and limb length comparisons. RESULTS: When evaluated against the MFB, MTS significantly overestimated all measurements other than waist circumference (p = 0.670) using paired t-tests. RMSE was 2.5 % for body fat percentage (BF%), 0.64-3.74 cm for all body circumferences, 0.71-2.3 kg for all lean mass estimates, and 126-659 cm2 and 608-4672 cm3 across all body surface area and body volume estimates, respectively. BF% was the only body composition estimate that did not demonstrate proportional bias (p = 0.221). Circumferences of the chest, shoulder, biceps, forearm, and ankle all demonstrated proportional bias (all coefficients: p < 0.050), but only chest, shoulder, and arm circumferences did not demonstrate equivalence. Arm surface area (p < 0.001) and arm (p = 0.002) and leg volumes (p = 0.004) were the only body surface area and volume estimates to reveal proportional biases. CONCLUSIONS: These findings demonstrate the agreement between 3D anthropometric applications intended for clinical and personal use, particularly for whole-body composition estimates and clinically meaningful body circumferences. Given the advantages of commercially available remote applications, practitioners and consumers may consider using this method in place of those intended for clinical practice, but should express caution when overestimation is a concern.

Predicting the 10-year incidence of dyslipidemia based on novel anthropometric indices, using data mining.

BACKGROUND: The aim was to establish a 10-year dyslipidemia incidence model, investigating novel anthropometric indices using exploratory regression and data mining. METHODS: This data mining study was conducted on people who were diagnosed with dyslipidemia in phase 2 (n = 1097) of the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study, who were compared with healthy people in this phase (n = 679). The association of dyslipidemia with several novel anthropometric indices including Conicity Index (C-Index), Body Roundness Index (BRI), Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), Abdominal Volume Index (AVI), Weight-Adjusted-Waist Index (WWI), A Body Shape Index (ABSI), Body Mass Index (BMI), Body Adiposity Index (BAI) and Body Surface Area (BSA) was evaluated. Logistic Regression (LR) and Decision Tree (DT) analysis were utilized to evaluate the association. The accuracy, sensitivity, and specificity of DT were assessed through the performance of a Receiver Operating Characteristic (ROC) curve using R software. RESULTS: A total of 1776 subjects without dyslipidemia during phase 1 were followed up in phase 2 and enrolled into the current study. The AUC of models A and B were 0.69 and 0.63 among subjects with dyslipidemia, respectively. VAI has been identified as a significant predictor of dyslipidemias (OR: 2.81, (95% CI: 2.07, 3.81)) in all models. Moreover, the DT showed that VAI followed by BMI and LAP were the most critical variables in predicting dyslipidemia incidence. CONCLUSIONS: Based on the results, model A had an acceptable performance for predicting 10 years of dyslipidemia incidence. Furthermore, the VAI, BMI, and LAP were the principal anthropometric factors for predicting dyslipidemia incidence by LR and DT models.

Predictors of visceral and subcutaneous adipose tissue and muscle density: The ShapeUp! Kids study.

BACKGROUND AND AIMS: Body fat distribution, i.e., visceral (VAT), subcutaneous adipose tissue (SAT) and intramuscular fat, is important for disease prevention, but sex and ethnic differences are not well understood. Our aim was to identify anthropometric, demographic, and lifestyle predictors for these outcomes. METHODS AND RESULTS: The cross-sectional ShapeUp!Kids study was conducted among five ethnic groups aged 5-18 years. All participants completed questionnaires, anthropometric measurements, and abdominal MRI scans. VAT and SAT areas at four lumbar levels and muscle density were assessed manually. General linear models were applied to estimate coefficients of determination (R2) and to compare the fit of VAT and SAT prediction models. After exclusions, the study population had 133 male and 170 female participants. Girls had higher BMI-z scores, waist circumference (WC), and SAT than boys but lower VAT/SAT and muscle density. SAT, VAT, and VAT/SAT but not muscle density differed significantly by ethnicity. R2 values were higher for SAT than VAT across groups and improved slightly after adding WC. For SAT, R2 increased from 0.85 to 0.88 (girls) and 0.62 to 0.71 (boys) when WC was added while VAT models improved from 0.62 to 0.65 (girls) and 0.57 to 0.62 (boys). VAT values were significantly lower among Blacks than Whites with little difference for the other groups. CONCLUSION: This analysis in a multiethnic population identified BMI-z scores and WC as the major predictors of MRI-derived SAT and VAT and highlights the important ethnic differences that need to be considered in diverse populations.

An overview of the nutritional status of childbearing age women, children and adolescents living in a rural area of Madagascar: preliminary results of the Tany Vao project.

OBJECTIVE: To describe the food consumption, nutrition knowledge and nutritional assessment of childbearing age women and their children, living in rural villages in Madagascar. The results presented are related to the Tany Vao research study. DESIGN: A cross-sectional pilot study. SETTING: The study was carried out in Ampanitosoha village on Nosy Mitsio island in Madagascar. PARTICIPANTS: 32 women (14-49 years) and 36 children and adolescents (2-17 years). RESULTS: 70 % of the women lacked nutrition knowledge and did not reach the Minimum Dietary Diversity Index for Women cut-off. The median BMI was 21·1 kg/m2 but 55·2 % of the women exceeded the cut-off for waist-to-hip ratio, 51·7 % for waist-to-height ratio and 81·2 % for mid-upper arm circumference (MUAC). Almost all had adequate intake of energy, protein and carbohydrates, while 27·6 % had excessive fat intake and 75·9 % of added sugars. Over half of the women did not meet the micronutrients Reference Daily Intake (RDI). For children, the MUAC z-score was lower for boys than for girls (P-value = 0·041). CONCLUSIONS: These results underline the importance of increasing women's nutritional knowledge to promote healthy pregnancy and lactation. Moreover, it is fundamental to provide people living in rural areas with sustainable tools to improve dietary diversity and support long-term health.

Association of Anthropometric and CT-Based Obesity Indices with Subclinical Atherosclerosis.

AIM: Few studies have compared the strength in the associations of anthropometric and computed tomography (CT)-based obesity indices with coronary artery calcification (CAC), aortic artery calcification (AoAC), and aortic valve calcification (AVC). METHODS: We assessed cross-sectcional associations of anthropometric and CT-based obesity indices with CAC, AoAC, and AVC. Anthropometric measures included body mass index (BMI), waist circumference, hip ircumference, waist-to-hip circumference ratio, and waist-to-height ratio in 931 men (mean age, 63.7 years) from a population-based cohort. CT images at the L4/5 level were obtained to calculate the areas of abdominal visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), total adipose tissue (TAT), VAT-to-SAT ratio (VSR), and VAT-to-TAT ratio (VTR). CAC, AoAC, and AVC were quantified using the Agatston score based on CT scanning. RESULTS: CAC, AVC, and AoAC were present in 348 (62.6%), 173 (18.6%), and 769 (82.6%) participants, respectively. In multivariable models adjusting for age, lifestyle factors, and CT types (electron beam CT and multidetector row CT), anthropometric and CT-based obesity indices were positively associated with CAC (p＜0.01). Conversely, VAT-to-SAT ratio and VAT-to-TAT ratio were positively associated with AoAC (p＜0.01). Any obesity indices were not associated with AVC. CONCLUSIONS: The strength of the associations of obesity indices with subclinical atherosclerosis varied according to the anatomically distinct atherosclerotic lesions, among men.

Predictive modeling of submarining risk in car occupants based on pelvis angle and lap belt positioning.

OBJECTIVE: The engagement of the lap belt with the pelvis is critical for occupant safety during vehicle frontal crashes to prevent occupant submarining. This study aims to develop a predictive model for submarining risk based on anthropometric parameters and lap belt positioning using finite element (FE) analyses. METHODS: FE analyses were conducted using human body models representing various body shapes (a 50th percentile male, low and high BMI males, and a 5th percentile female) in three seated postures (standard, reclined, and slouched). The lap belt-ASIS overlap and the belt-pelvis angle were used as key parameters for predicting submarining risk. A logistic regression analysis was utilized to correlate submarining occurrence with the initial values of these two parameters at the beginning of impact. Subsequently, this submarining prediction model was applied to computer tomography (CT) measurements of human subjects in different seated postures (upright, reclined, and slouched), and submarining risks were calculated based on the developed model. RESULTS: FE simulations indicated that submarining was more likely to occur as the initial belt-pelvis angle approached zero and there was a smaller initial belt-ASIS overlap. The logistic regression analysis demonstrated that the initial belt-pelvis angle and belt-ASIS overlap were statistically significant for predicting submarining risk. The derived model effectively distinguished submarining occurrence based on the initial values of these two parameters. The application of the submarining model to CT measurements of human subjects showed that submarining risk was lower in the order of upright, slouched, and reclined postures. In the reclined posture, the high submarining risk was attributed to a small belt-ASIS overlap and a rearward-tilted pelvis angle; whereas in the slouched posture, the risk was mostly associated with a rearward-tilted pelvis angle. CONCLUSIONS: The submarining prediction model was developed based on the belt-pelvis angle and the belt-ASIS overlap. This predictive model may help to design restraint systems for various body types and seated postures of occupants.

Lower adiponectin is associated with higher anthropometry and insulin resistance but not with low cardiorespiratory fitness in adolescents.

PURPOSE: The aim of this study was to analyze the relationship between adiposity, cardiometabolic risk and cardiorespiratory fitness (CRF) according to different groups of adiponectin concentration. METHODS: 255 adolescents of both sexes, aged 11-17 years old, participated. Anthropometric and biochemical parameters such as body mass, height, abdominal circumference (AC), waist circumference (WC), fat mass, fat-free mass, total cholesterol (TC), high-density lipoprotein (HDL-c), low-density lipoprotein (LDL-c), triglycerides (TG), glucose, insulin, adiponectin, blood pressure, peak oxygen consumption (VO2peak) were measured. Body mass index (BMI), z-score BMI (BMI-z), triponderal mass index (TMI), waist-to-height ratio (WHtR), homeostasis model to assessment insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (QUICKI) were calculated. Adiponectin was categorized: low adiponectin concentration (LAC ≤ 5.18 µg/mL-1), intermediate (IAC = 5.18 and 7.63 µg/mL-1) and high (HAC ≥ 7.63 µg/ml-1). RESULTS: LAC showed higher BMI, BMI-z and TMI than the other groups (p < 0.05) and higher AC, WC and WHtR that the HAC (p < 0.05). IAC showed lower values of TC, LDL-c and TG, and the LAC presented the highest values of insulin, HOMA-IR and QUICKI (p < 0.05) to the IAC and HAC. HAC presented the lower VO2peak than the other groups (p < 0.01). BMI, TMI, glucose, insulin, HOMA-IR showed inverse, and QUICKI a direct and weak correlation with adiponectin (p < 0.05). No significant association was found between adiponectin and VO2peak (p > 0.05). CONCLUSION: The LAC group had higher means in the anthropometric variables and the worst results related to insulin resistance and sensitivity. Thus, adiponectin may play an important role in obesity and reduced concentration may be a factor in the development of obesity-associated morbidities.

Body fluids and muscle changes in trail runners of various distances.

Background: This study aims to investigate body fluids and muscle changes evoked by different trail races using anthropometric, bioelectrical, and creatine kinase (CK) measurements. Methods: A total of 92 subjects (55 men, 37 women) participating in three different races of 14, 35, and 52 km were evaluated before (PRE) and after (POST) the races. Classic bioelectrical impedance vector analysis was applied at the whole-body level (WB-BIVA). Additionally, muscle-localized bioelectrical assessments (ML-BIVA) were performed in a subgroup of 11 men (in the quadriceps, hamstrings, and calves). PRE-POST differences and correlations between bioelectrical values and CK, running time and race distance were tested. Results: Changes in whole-body vectors and phase angles disclosed an inclination towards dehydration among men in the 14, 35, and 52 km groups (p < 0.001), as well as among women in the 35 and 52 km groups (p < 0.001). PRE Z/H was negatively correlated with running time in the 35 km men group and 14 km women group (r = -0.377, p = 0.048; r = -0.751, p = 0.001; respectively). POST Z/H was negatively correlated with running time in the 14 km women group (r = -0.593, p = 0.02). CK was positively correlated with distance in men and women (p < 0.001) and negatively correlated with reactance and vector length in the 14 km men group (p < 0.05). ML-BIVA echoed the same tendency as the WB-BIVA in the 35 and 52 km runners, with the most notable changes occurring in the calves (p < 0.001). Conclusions: WB-BIVA and CK measurements underscored a conspicuous trend towards post-race dehydration and muscle damage, displaying a weak association with performance. Notably, ML-BIVA detected substantial alterations primarily in the calves. The study underscores the utility of BIVA as a technique to assess athlete's body composition changes.

RELATIONSHIP BETWEEN SELECTED TRADITIONAL & NOVEL ANTHROPOMETRIC PARAMETERS AND BLOOD PRESSURE AMONG YOUNG PEOPLE.

Background: Many anthropometric measures have been developed in the last two decades to evaluate cardiovascular health and disease. However, the relationship between these measures and blood pressure is not commonly explored among young population. Objective: This study sought to explore the relationship between selected traditional and novel anthropometric metrics and blood pressure among young people as part of ThE profile of anthRopometRy And psyChosocial issuEs on campus (TERRACE) study. Methods: A total of 375 participants were included in the study. Basic demographic details, standard methods were used to measure blood pressure, and anthropometric measures Height, weight, waist circumference, hip circumference, and neck circumference were measured. Derived waist and hip indices included the waist-hip ratio, waist-to-height ratio, weight-adjusted waist index, abdominal volume index, neck-to-height ratio, and conicity index. The linear relationships between the anthropometric parameters and systolic blood pressure, diastolic blood pressure, and pulse pressure were explored. Those that were strongly correlated, moderately correlated, weakly correlated, and effectively uncorrelated were graded 0.50-1.0, 0.30-0.49, 0.10-0.29, and less than 0.10, respectively. The analysis was done using SPSS version 23. A p-value <0.05 was considered significant. Results: The mean age ±standard deviation(SD) and proportion of females were 21.1±3.5 years and 245 (65.3%), respectively. The mean ±SD systolic blood pressure, diastolic blood pressure, and pulse pressure were 109.2 11.2 mmHg, 67.5±8.8 mmHg, and 41.6±11.1 mmHg, respectively. Most of the variables have a statistically significant relationship with the blood pressure parameters; however, all are neither moderately nor strongly correlated. Conclusion: Most of the anthropometric indicators, including the novel ones, are correlated with BP parameters in this young population. However, further research is needed to unravel newer one with better correlations in this population.

RELATIONSHIP BETWEEN ANTHROPOMETRIC INDICES AND LEFT VENTRICULAR MASS IN CHILDREN WITH SEVERE ACUTE MALNUTRITION IN GOMBE STATE, NIGERIA.

Introduction: Severe acute malnutrition (SAM), which is diagnosed through anthropometric measurement, causes cardiac muscle wasting and this has been linked to increased mortality. Objective: This study aimed at determining the relationship between anthropometric indices and left ventricular mass (LVM) in children with SAM in Gombe State. This is to determine if anthropometric indices can be used to estimate/predict LVM in these children. Methods: One hundred and thirty-two children with SAM aged 6 to 36 months were recruited from all the five primary health care centres that offer community management of acute malnutrition in Gombe State. Their anthropometric indices (weight, height, mid-upper arm circumference (MUAC), body surface area (BSA), body mass index (BMI) and weight-for-height Z score (WHZ) were measured/derived). Their left ventricular indices were also measured using two dimensional echocardiography. Results: The mean weight, height, MUAC, BSA and BMI were 5.5+1.2kg, 69+6.1cm, 10.2+0.9cm, 0.33+0.05m2 and 11.6+1.4kg/m2, respectively. The mean LVM was 17.7+7.1g. Weight, BSA, height, BMI and MUAC had significant positive correlation with LVM [r = 0.55, r=0.53, r = 0.43, r = 0.3 and r = 0.3(p=0.001)], respectively. The determination coefficients(R2) of anthropometric indices with LVM were 0.30, 0.284 and 0.187 for weight, BSA and height, respectively. However, in multiple regression model, no anthropometric index was significantly associated with LVM. Conclusion: Some of anthropometric indices had direct linear relationship with LVM but none of them can be used to estimate/predict LVM in children with SAM in Gombe State.

Validation study on a prediction formula to estimate the weight of children & adolescents with special needs aged 2-18 years old.

BACKGROUND: This study aims to validate two predictive formulas of weight estimating strategies in children with special needs, namely the Cattermole formula and the Mercy formula. METHODOLOGY: A cross-sectional study with a universal sampling of children and adolescents with special needs aged 2-18 years old, diagnosed with cerebral palsy, down syndrome, autism and attention-deficit/hyperactivity disorder was conducted at Community-Based Rehabilitation in Central Zone Malaysia. Socio-demographic data were obtained from files, and medical reports and anthropometric measurements (body weight, height, humeral length, and mid-upper arm circumference) were collected using standard procedures. Data were analysed using IBM SPSS version 26. The accuracy of the formula was determined by intraclass correlation, prediction at 20% of actual body weight, residual error (RE) and root mean square error (RMSE). RESULT: A total of 502 children with a median age of 7 (6) years were enrolled in this study. The results showed that the Mercy formula demonstrated a smaller degree of bias than the Cattermole formula (PE = 1.97 ± 15.99% and 21.13 ± 27.76%, respectively). The Mercy formula showed the highest intraclass correlation coefficient (0.936 vs. 0.858) and predicted weight within 20% of the actual value in the largest proportion of participants (84% vs. 48%). The Mercy formula also demonstrated lower RE (0.3 vs. 3.6) and RMSE (3.84 vs. 6.56) compared to the Cattermole formula. Mercy offered the best option for weight estimation in children with special needs in our study population.

Anthropometric Measurements of Singleton Live Full-Term Newborns in Comparison to Who Standard at University of Gondar Comprehensive Specialised Hospital, Ethiopia.

BACKGROUND: Anthropometry is a universally applicable, non-expensive, rapid and noninvasive technique used to evaluate and reflect the nutritional status of an individual. Anthropometric measurements of newborns reflect their general health, nutritional status and future survival by tracking trends in growth and development over time. It has also considerable significance in terms of determining the risk of death and extra uterine complications. Most previously conducted studies assessing newborn anthropometry had used birth weight as the sole parameter. But it is apparent that other anthropometric measurements, such as length and head circumference, are also important in predicting short-term and long-term outcomes. So this study assesses anthropometric measurements of singleton live full-term newborns at University of Gondar comprehensive specialised hospital, Ethiopia. MATERIAL AND METHODS: Hospital-based cross-sectional study was conducted among 333 newborn from 5 June to 11 July 2022, in the maternity and neonatal ward of University of Gondar comprehensive specialised hospital. A systematic random sampling technique was employed to select the study participants. The Kobo toolbox software platform was used for data collection, and STATA software version 16 was used for analysis. RESULTS: The mean birth weight, length and head circumference of the newborns in the current study were 2977 grams (95% CI: 2935.7, 3018.3), 47.05 centimeters (95% CI: 46.72-47.37) and 34.7 centimeters (95% CI: 34.6, 34.88), respectively. The prevalence of SGA (< 10th percentile) and LGA (> 90th percentile) was 20.12% and 6.01%, respectively. Independent samples t-test was done to see the association of newborn sex with anthropometric indices, and the result showed that the difference was statistically insignificant in all of anthropometric parameters. CONCLUSION: This study of normal reference values will provide basic step for future standardisation of Ethiopian term newborns anthropometric parameters to be used for accurate assessment of newborns.

Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players.

Digital anthropometry by three-dimensional optical imaging systems and smartphones has recently been shown to provide non-invasive, precise, and accurate anthropometric and body composition measurements. To our knowledge, no previous study performed smartphone-based digital anthropometric assessments in young athletes. The aim of this study was to investigate the reproducibly and validity of smartphone-based estimation of anthropometric and body composition parameters in youth soccer players. A convenience sample of 124 male players and 69 female players (median ages of 16.2 and 15.5 years, respectively) was recruited. Measurements of body weight and height, one whole-body Dual-Energy X-ray Absorptiometry (DXA) scan, and acquisition of optical images (performed in duplicate by the Mobile Fit app to obtain two avatars for each player) were performed. The reproducibility analysis showed percent standard error of measurement values < 10% for all anthropometric and body composition measurements, thus indicating high agreement between the measurements obtained for the two avatars. Mobile Fit app overestimated the body fat percentage with respect to DXA (average overestimation of + 3.7% in males and + 4.6% in females), while it underestimated the total lean mass (- 2.6 kg in males and - 2.5 kg in females) and the appendicular lean mass (- 10.5 kg in males and - 5.5 kg in females). Using data of the soccer players, we reparameterized the equations previously proposed to estimate the body fat percentage and the appendicular lean mass and we obtained new equations that can be used in youth athletes for body composition assessment through conventional anthropometrics-based prediction models.