The predictive capability of several anthropometric indices for identifying the risk of metabolic syndrome and its components among industrial workers.

Metabolic syndrome (MetS) is closely associated with adverse cardiometabolic outcomes. The objective of this study was to identify practical methods that could enable the effective identification of MetS based on anthropometric indices. The basis of our study involved retrospective database obtained from routine medical prophylactic examinations. This was a cross-sectional study on the health status of male workers employed in hazardous working conditions at industrial enterprises in the Ural region conducted in 2019. A total of 347 male workers employed under hazardous working conditions were investigated. The presence of MetS was established by a healthcare professional in accordance with the guidelines of the International Diabetes Federation (IDF). Simple linear regression was used to evaluate the associations between anthropometric indices and MetS incidence. Logistic regression was used to determine the odds ratios of MetS in relation to increases in anthropometric indices. ROC curves were calculated to compare the ability of each anthropometric index to predict MetS and to determine the diagnostic thresholds of the indicators considered. According to the IDF criteria, 36.3% of the workers had MetS. A direct relationship was found between the individual components of MetS and the anthropometric indices studied. The highest OR was shown by the Body Roundness Index (BRI) of 2.235 (95% CI 1.796-2.781). For different age quartiles, the optimal cut-off values for predicting MetS were as follows: BRI, 4.1-4.4 r.u.; body shape index (ABSI), 0.080-0.083 m11/6 kg-2/3; and lipid accumulation product (LAP), 49.7-70.5 cm mmol/l. The most significant associations with MetS were observed where the values were greater than these cut-off points (Se = 97.4%). The results of this study demonstrated the rapid use of new anthropometric indicators, which have shown good predictive ability and are quite easy to use.

Anthropometric study of the scapula in a contemporary population from granada. Sex estimation and glenohumeral osteoarthritis prevalence.

Anthropometric studies of the scapula have been rare in Spanish populations, nevertheless they are of current interest in forensic anthropology for estimation of sex. Although the estimation of sex is usually carried out on the pelvis and skull, other measurements related to the scapula can be helpful when the skeletal remains are incomplete. Glenohumeral osteoarthritis development is influenced, among others, by the morphology of the scapula, which is one of the less studied aspects. We carried out a descriptive study of anthropometric parameters in a series of 157 scapulae (82 individuals) on bone remains dated to the 20th century from a population of Granada (Southern Spain). Seventy seven (49%) were right-side and 80 (51%) left-side; 72 (45.9%) were from males and 85 (54.1%) from females, and the mean age at death was 70.76±11.7 years. The objective was to develop a discrimination function for sex estimation based on anthropometric parameters of the scapula other than those considered to date, and to analyze the prevalence of glenohumeral osteoarthritis in relation to selected anthropometric parameters. A logistic regression model based on parameters of the upper-external segment of the scapula was done. The obtained formula: 1/1+e^ (- (-57.911 + 0.350*B + 0283*C + 0.249*b + 0.166*a +-0.100*ß) classifies male sex with 98.3% accuracy and female sex with 92.1%. Glenohumeral osteoarthritis was detected in 16.6% of individuals and was related to age (p<0.05), scapular length (p<0.05), glenoid width (p<0.05), glenopolar angle (p<0.05), and α angle (p<0.05) in bivariate analyses but showed no significant associations in multivariate analyses. This approach can be useful for anthropological-forensic identification when scapula remains are incomplete. Glenohumeral osteoarthritis is significantly associated with a smaller α angle.

Performance of Microsoft Azure Kinect DK as a tool for estimating human body segment lengths.

The Microsoft Kinect depth sensor, with its built-in software that automatically captures joint coordinates without markers, could be a potential tool for ergonomic studies. This study investigates the performance of Kinect in limb segment lengths using dual-energy X-ray absorptiometry (DXA) as a reference. Healthy children and adults (n = 76) were recruited for limb length measurements by Kinect and DXA. The results showed consistent ratios of arm, forearm, thigh, and leg lengths to height, which were 0.16, 0.14, 0.23, and 0.22 respectively, for both age groups and methods. Kinect exhibited perfect correlation among all limb lengths, indicating fixed proportions assumed by its algorithm. Comparing the two methods, there was a strong correlation (R = 0.850-0.985) and good to excellent agreement (ICC = 0.829-0.977), except for the right leg in adults, where agreement was slightly lower but still moderate (ICC = 0.712). The measurement bias between the methods ranged from - 1.455 to 0.536 cm. In conclusion, Kinect yields outcomes similar to DXA, indicating its potential utility as a tool for ergonomic studies. However, the built-in algorithm of Kinect assumes fixed limb proportions for individuals, which may not be ideal for studies focusing on investigating limb discrepancies or anatomical differences.

Relationship of anthropometrics and blood pressure to identify people at risk of hypertension and obesity-related conditions in Nigerian rural areas.

The prevalence of obesity and hypertension is increasing, particularly in the urban areas. However, there is limited research on the relationship between obesity and hypertension in the rural areas of southeastern Nigeria. The present study aimed to investigate the association between anthropometric parameters and adiposity indicators and the risk of hypertension with obesity-related conditions, based on a descriptive study of people living in the southeastern rural areas of Nigeria. The cluster sampling procedure randomly recruited study participants. Finally, 200 participants (100 male and 100 female) aged 18 to 25 years were included in the study. A simplified correlation analysis was used to derive the adjusted indicators in relation to age and sex. This study found that females generally had a higher body mass index (BMI), waist circumference (WC), and Z-score, whereas systolic blood pressure (SBP) was higher in men. A high correlation was found between the body shape index (ABSI) and BMI (r = -.529, P < .001), WC (r = .399, P < .001) and Z-score (r = .982, P < .001) in male participants. In females, there was a high correlation between ABSI and BMI, blood pressure (BP), and Z score in female participants (r = -.481, P < .000; r = -.267, P = .007; r = .941, P < .000). In male participants, BMI was correlated with diastolic blood pressure (DBP; r = .236, P = .018), SBP (r = .282, P = .005), Z score (r = -.539, P < .000), and WC (r = .541, P < .001). This study highlights the importance of considering a range of anthropometric measurements and health parameters when assessing health risks and identifying potential interventions. In addition, the body shape index may be a particularly useful tool for predicting health risks in both men and women. In contrast, correlations between various health parameters can provide insights into the underlying mechanisms and risk factors.

Does berberine impact anthropometric, hepatic, and metabolic parameters in patients with metabolic dysfunction-associated fatty liver disease? Randomized, double-blind placebo-controlled trial.

Globally, the metabolic dysfunction-associated fatty liver disease (MAFLD) holds the position as the most widespread chronic liver condition. Berberine (BBR) shows promise as a natural compound for managing obesity, hepatic steatosis, and metabolic disorders. The study aimed to investigate the effectiveness of BBR in addressing factors linked to MAFLD. This is a randomized, double-blind, and placebo-controlled clinical trial. Seventy individuals with MAFLD were enrolled in this study and randomly assigned in a 1:1 ratio to two groups. BBR (1500 mg/day) or placebo was administrated orally for 12 weeks. Selected anthropometric, hepatic, and metabolic parameters were assessed. After a 12-week intervention, the BBR group demonstrated a statistically significant decrease in alanine transaminase (ALT) p=0.0105, and de Ritis ratio p=0.0011 compared to the control group. In both groups we observed a decrease in trunk fat (kg) - BBR group p=0.0185, and placebo group p=0.0323. After three months, a significant divergence between the BBR and placebo groups was evident in the alteration of Δ total cholesterol (TC) p=0.0009, favoring the BBR group. Nevertheless, there were no significant differences detected in other lipid and glucose parameters. In the BBR group, we found significant correlations between changes and amelioration of certain variables: Δ body mass index (BMI) correlated with ΔALT (r=0.47; p=0.0089) and D aspartate aminotransferase (AST) (r=0.47; p=0.0081) levels; Δ trunk fat with Δ fatty liver index (FLI) (r=0.55; p=0.0337), Δ homeostasis model assessment for insulin resistant index (HOMA-IR) (r=0.37; p=0.0020), and AST (r=0.42; p=0.0202); D the de Ritis ratio correlated with Δ fibrosis-4 index (FIB-4) levels (r=0.59; p=0.0011); and ΔFLI correlated with ΔHOMA-IR (r=0.37; p=0.0409) and Δ visceral adiposity index (VAI) (r=0.54; p=0.0019), while no significant differences were observed in the Placebo group. The results show that BBR appears to be a bioactive compound that positively impacts MAFLD, however, additional research with extended intervention durations is required to fully assess its efficacy and potential clinical use.

Biochemical and Anthropometric Indices of Insulin Resistance in Obese and Overweight Children with Metabolic Dysfunction-Associated Fatty Liver Disease.

BACKGROUND The prevalence of metabolic (dysfunction)-associated fatty liver disease (MAFLD) increases together with the epidemic of childhood obesity. An important mechanism in the phenomenon appears to be insulin resistance (IR), the assessment of which in children is problematic. The homeostatic model assessment of IR (HOMA-IR), commonly used for this, is not standardized and appears not to correlate with IR in the pediatric population. Therefore, our study aimed to evaluate potential substitute indices of IR, including the triglyceride-glucose index (TyG), triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), modified TyG indices: TyG-waist circumference (TyG-WC) and TyG-body mass index (TyG-BMI) as surrogate markers of MAFLD in obese children suspected to have liver disease. MATERIAL AND METHODS The retrospective study included 264 obese children admitted to the Department to diagnose suspected liver disease. MAFLD was diagnosed according to the International Expert Consensus Statement. Anthropometric measurements and laboratory tests were made and the indices were calculated. Receiver operating characteristics analysis was performed to calculate the power of the indices. RESULTS MAFLD was diagnosed in 184 patients (70%). Obese children with MAFLD showed significantly higher activity of liver enzymes and concentration of total cholesterol, TG, WC, and waist-to-hip ratio compared to non-hepatopathic obese controls (n=80). The most important indices in identifying MAFLD were: TyG (AUC=0.641, p<0.001, cut-off =8.41, sensitivity=57.4%, specificity=68.8%), and TG/HDL-C (AUC=0.638, p<0.001, cut-off=2.5, sensitivity=48.6%, specificity=76.3%). TyG-BMI and HOMA-IR were not useful predictors. CONCLUSIONS TyG and TG/HDL-C can be considered as potential surrogate biomarkers in predicting MAFLD in obese children.

The Accuracy of Height Prediction Equations in Greek Patients: A Cross-Sectional Study.

In clinical settings, standing height measurement is often difficult to perform due to patients' inability to stand upright. Height prediction equations derived from measurements of the length of other body segments have been published; however, they are not readily applicable to all populations since ethnic differences affect the relationship between standing height and body segment length. This cross-sectional study aimed to examine the accuracy of height prediction using the Malnutrition Universal Screening Tool (MUST) height predictive equations among Greek patients and to develop new, nationally representative equations. The study population consisted of 1198 Greek adult outpatients able to stand upright without assistance and without medical conditions that affected their height. Standing height, ulna length, knee height and demi-span measurements were obtained from 599 males and 599 females. Patients were stratified into age groups of <55 and ≥55 years, <60 and ≥60 years and <65 and ≥65 years according to the categories indicated by the MUST for height prediction from alternative measurements. There were positive correlations between standing height and ulna length and knee height and demi-span length (p < 0.001) in both sexes and all age categories. A strong correlation was observed between the measured and predicted standing height using ulna length (rho = 0.870, p < 0.001), knee height (rho = 0.923, p < 0.001) and demi-span length (rho = 0.906, p < 0.001). The average difference between the MUST indicative equations' height predictions from alternative measurements and actual height was -3.04 (-3.32, -2.76), -1.21 (-1.43, -0.988) and 2.16 (1.92, 2.41), respectively. New height prediction equations for Greek patients were identified, with the predicted values closer to the measured standing heights than those predicted with the MUST indicative equations for height prediction from alternative measurements.

Introduction of Solid Foods in Preterm Infants and Its Impact on Growth in the First Year of Life-A Prospective Observational Study.

The aim of this study was to investigate whether age at introduction of solid foods in preterm infants influences growth in the first year of life. This was a prospective observational study in very low birth weight infants stratified to an early (<17 weeks corrected age) or a late (≥17 weeks corrected age) feeding group according to the individual timing of weaning. In total, 115 infants were assigned to the early group, and 82 were assigned to the late group. Mean birth weight and gestational age were comparable between groups (early: 926 g, 26 + 6 weeks; late: 881 g, 26 + 5 weeks). Mean age at weaning was 13.2 weeks corrected age in the early group and 20.4 weeks corrected age in the late group. At 12 months corrected age, anthropometric parameters showed no significant differences between groups (early vs. late, mean length 75.0 vs. 74.1 cm, weight 9.2 vs. 8.9 kg, head circumference 45.5 vs. 45.0 cm). A machine learning model showed no effect of age at weaning on length and length z-scores at 12 months corrected age. Infants with comorbidities had significantly lower anthropometric z-scores compared to infants without comorbidities. Therefore, regardless of growth considerations, we recommend weaning preterm infants according to their neurological abilities.

Biochemical and Anthropometric Outcomes in Paediatric Patients with Heterozygous Familial Hypercholesterolemia after COVID-19 Pandemic Lockdowns: An Exploratory Analysis.

The COVID-19 pandemic lockdowns affected the lifestyles of children and adolescents, leading to an increase in childhood obesity. Paediatric patients with familial hypercholesterolemia (FH) may be more susceptible to lockdown effects due to their increased cardiovascular risk. However, data are lacking. We investigated the effect of lockdowns on the metabolic profile of paediatric patients with FH. Blood lipids and anthropometry measured in September 2021-April 2022 were retrospectively compared with pre-pandemic values. Thirty participants were included (1-16 years; 57% female). From baseline to post-pandemic, median [P25, P75] blood LDL-C concentration was 125 [112, 150] mg/dL vs. 125 [100, 147] mg/dL (p = 0.894); HDL-C was 58 [52, 65] mg/dL vs. 56 [51, 61] mg/dL (p = 0.107); triglycerides were 64 [44, 86] mg/dL vs. 59 [42, 86] mg/dL (p = 0.178). The BMI z-score did not change significantly (0.19 [-0.58, 0.89] vs. 0.30 [-0.48, 1.10], p = 0.524). The lack of deterioration in metabolic profiles during lockdowns is positive, as some deterioration was expected. We speculate that patients and caregivers were successfully educated about healthy lifestyle and dietary habits. Our results should be interpreted with caution since the study sample was small and heterogeneous. Multicentre research is needed to better understand the impact of lockdowns on this population.

Novel anthropometric indices are superior adiposity indexes to portend visual impairment in middle-aged and older Chinese population.

OBJECTIVE: To investigate differential associations of traditional and novel adiposity indices with visual impairment (VI) in the middle-aged and older Chinese population. METHODS AND ANALYSIS: Based on the China Health and Retirement Longitudinal Study, 7750 Chinese older adults aged over 45 were included at baseline 2011, and 4133 participants who accomplished all three interviews from 2011 to 2015 were adapted for longitudinal analyses. We enrolled six adiposity indices, including the body mass index (BMI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI), a body shape index (ABSI), body roundness index (BRI) and conicity index (ConI). Visual status and other covariates included sociodemographic characteristics, medical supports and lifestyle-related factors. Cross-sectional correlations were assessed using univariate and multivariate logistic regression analyses. For longitudinal analysis, generalised linear models with generalised estimating equations were used to determine the association between time-varying adiposity and visual status. RESULTS: Higher levels of WHtR/WWI/ABSI/BRI/ConI were significantly associated with an increased prevalence of VI, whereas a higher BMI was associated with a decreased prevalence of VI. Only WWI was significantly related to the prevalence of VI after adjustment for multiple confounders in both cross-sectional and longitudinal analyses (all p values <0.05). The multivariable-adjusted OR (95% CI) of VI associated with the highest (vs lowest) quintile of WWI was 1.900 (1.407 to 2.565). CONCLUSION: WWI is a reliable alternative adiposity index that exhibits a dose-response association with the prevalence of VI in the Chinese population. The WWI-VI correlation may eliminate the obesity paradox in the ophthalmic epidemiological area and indicate the detrimental impact of changes in body composition on VI.

Virtual fit assessment of U.S. army body armor using NASA spacesuit techniques.

Fit and accommodation are critical design goals for a body armor system to maximize Soldiers' protection, comfort, mobility, and performance. The aim of this study is to assess fit and accommodation of body armor plates for the US Army. A virtual fit assessment technique, developed, validated, and deployed by NASA for spacesuit design, was adopted for this work. Specifically, 3D manikins of the Soldier population were overlaid virtually with geometrically similar surrogates of the armor plates. Trained subject matter experts with the US Army and NASA manually assessed the fit of the armor plates to manikins using a computer visualization tool and selected the appropriate plate size and position. A prediction model was built from the assessment data to predict the plate size from an arbitrary body shape and the resultant patterns of body-to-plate contact were quantified. The outcome indicated a unique trend of the plate sizes covarying with anthropometry. More pronouncedly, when the overlap between the body tissue and armor plate was quantified, female Soldiers are likely to experience a 25 times larger body-to-plate contact volume and 6.5 times larger contact depth than males on average, due to sex-based anthropometric differences. Overall, the prediction model and contact patterns provided key metrics for virtual body armor fit assessments, of which the locations, patterns, and magnitudes can help to improve sizing and fit of body armor systems, as previously demonstrated for NASA spacesuit design.

Inter-observer reliability and anatomical landmarks for arm circumference to determine cuff size for blood pressure measurement.

Accurate arm circumference (AC) measurement is required for accurate blood pressure (BP) readings. Standards stipulate measuring arm circumference at the midpoint between the acromion process (AP) and the olecranon process. However, which part of the AP to use is not stipulated. Furthermore, BP is measured sitting but arm circumference is measured standing. We sought to understand how landmarking during AC measurement and body position affect cuff size selection. Two variations in measurement procedure were studied. First, AC was measured at the top of the acromion (TOA) and compared to the spine of the acromion (SOA). Second, standing versus seated measurements using each landmark were compared. AC was measured to the nearest 0.1 cm at the mid-point of the upper arm by two independent observers, blinded from each other's measurements. In 51 participants, the mean (±SD) mid-AC measurement using the anchoring landmarks TOA and SOA in the standing position were 32.4 cm (±6.18) and 32.1 cm (±6.07), respectively (mean difference of 0.3 cm). In the seated position, mean arm circumference was 32.2 (±6.10) using TOA and 31.1 (±6.03) using SOA (mean difference 1.1 cm). Kappa agreement for cuff selection in the standing position between TOA and SOA was 0.94 (p < 0.001). The landmark on the acromion process can change the cuff selection in a small percentage of cases. The overall impact of this landmark selection is small. However, standardizing landmark selection and body position for AC measurement could further reduce variability in cuff size selection during BP measurement and validation studies.

Multivariate Analysis and Correlation Study Shows the Impact of Anthropometric and Demographic Variables on Gut Microbiota in Obese Egyptian Children.

Deciphering the gut microbiome's link to obesity is crucial. Our study characterized the gut microbial community in Egyptian children and investigated the effect of covariates on the gut microbiome, body mass index (BMI), geographical location, gender, and age. We used 16S rRNA sequencing to characterize the gut microbial communities of 49 children. We then evaluated these communities for diversity, potential biomarkers, and functional capacity. Alpha diversity of the non-obese group was higher than that of the obese group (Chao1, P = 0.006 and observed species, P = 0.003). Beta diversity analysis revealed significant variations in the gut microbiome between the two geographical locations, Cairo and Ismailia (unweighted UniFrac, P = 0.03) and between obesity statuses, obese and non-obese (weighted UniFrac, P = 0.034; unweighted UniFrac, P = 0.015). We observed a significantly higher Firmicutes/Bacteroidetes ratio in obese males than in non-obese males (P = 0.004). Interestingly, this difference was not seen in females (P = 0.77). Multivariable association with linear models (MaAsLin2) identified 8 microbial features associated with obesity, 12 associated with non-obesity, and found 29 and 13 features specific to Cairo and Ismailia patients, respectively. It has also shown one microbial feature associated with patients under five years old. MaAsLin2, however, failed to recognize any association between gender and the gut microbiome. Moreover, it could find the most predominant features in groups 2-9 but not in group 1. Another method used in the analysis is the Linear discriminant analysis Effect Size (LEfSe) approach, which effectively identified 19 biomarkers linked to obesity, 9 linked non-obesity, 20 linked to patients residing in Cairo, 14 linked to patients in Ismailia, one linked to males, and 12 linked to females. LEfSe could not, however, detect any prevalent bacteria among children younger or older than five. Future studies should take advantage of such correlations, specifically BMI, to determine the interventions needed for obesity management.

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.

Prediction the changes of anthropometric indices following a weight-loss diet in overweight and obese women by mathematical models.

Estimating the change rates in body size following the weight loss programs is very important in the compliance of those programs. Although, there is enough evidence on the significant association of body weight change with the other anthropometric indices and/ or body composition, there is so limited studies that have depicted this relationship as mathematical formulas. Therefore, the present research designed to use a mathematical model to predict changes of anthropometric indices following a weight-loss diet in the overweight and obese women. In this longitudinal study, 212 overweight/obese women who received an individualized low-calorie diet (LCD) were selected and followed-up for five months. Anthropometric measurements such as weight, waist circumference (WC), hip circumference (HC), and body composition (lean mass and fat mass) were performed. Then, body mass index, waist to hip ratio (WHR), waist to height ratio (WHtR), a body shape index (ABSI), abdominal volume index (AVI), and body adiposity index (BAI) were calculated using the related formula. Following the LCD led to the substantial and consistent changes in various anthropometric indices over time. All of these anthropometric variations were significantly related with the percent change (PC) of body weight except than WHR. Moreover, according to the mathematical formulas, weight loss was closely related to the decrease of WC (PC-WC = - 0.120 + 0.703 × PC-WT), HC (PC-HC = - 0.350 + 0.510 × PC-WT), body fat percentage (PC-Body Fat = - 0.019 + 0.915 × PC-WT), WHtR (PC-WHtR = - 0.113 + 0.702 × PC-WT), and improvements in ABSI (PC-ABSI = - 0.112 + 0.034 × PC-WT) and AVI (PC-AVI = - 0.324 + 1.320 × PC-WT). The decreasing rates of WC, HC, body fat percentage, WHtR, ABSI, and AVI in relation to the weight loss were clinically and statistically significant. This means that a healthy weight lowering diet would be accompanied by decreasing the body fat, body size and also the risk of morbidities.

Human milk composition and infant anthropometrics: overview of a systematic review with clinical and research implications.

BACKGROUND: Despite global public health organizations endorsing breastfeeding or human milk (HM) as the optimal source of nutrition for infants, detailed knowledge of how HM composition influences infant growth is lacking. In this commentary we summarize and interpret the key findings of a large systematic review on HM components and child growth (N = 141 articles included). We highlight the most consistent associations, discuss study quality issues, explore socio-economic and time trends in this body of research, and identify gaps and future research directions. KEY FINDINGS OF SYSTEMATIC REVIEW: We grouped HM components into three categories: micronutrients (28 articles), macronutrients (57 articles), and bioactives (75 articles). Overall, we struggled to find consistent associations between HM components and infant growth. The majority of studies (85%) were of moderate or low-quality, with inconsistent HM collection and analysis strategies being identified as the most substantial quality concerns. Additional quality issues included failing to account for potential confounding by factors such as breastfeeding exclusivity and maternal body mass index. CONSIDERATIONS FOR FUTURE HUMAN MILK RESEARCH: Many opportunities exist for the future of HM research. Using untargeted metabolomics will expand our understanding of HM components beyond previously defined and well-understood components. Machine learning will allow researchers to investigate HM as an integrated system, rather than a collection of individual components. Future research on HM composition should incorporate evidence-based HM sampling strategies to encompass circadian variation as well as infant consumption. Additionally, researchers need to focus on developing high quality growth data using consistent growth metrics and definitions. Building multidisciplinary research teams will help to ensure that outcomes are meaningful and clinically relevant. CONCLUSION: Despite a large body of literature, there is limited quality evidence on the relationship between HM composition and infant growth. Future research should engage in more accurate collection of breastfeeding data, use standardized HM collection strategies and employ assays that are validated for HM. By systematically evaluating the existing literature and identifying gaps in existing research methods and practice, we hope to inspire standardized methods and reporting guidelines to support robust strategies for examining relationships between HM composition and child growth.

Quality improvement initiative to standardise the anthropometric assessment for children under the age of 5 years at an urban primary health centre in New Delhi.

BACKGROUND: Anthropometric assessment in the paediatric population is particularly important to assess the child's general health status, nutritional adequacy, and growth and developmental pattern. However, there are often shortcomings in the quality of anthropometric assessment done in primary healthcare settings despite the presence of established guidelines. In this study, we plan to use the quality improvement (QI) principles to improve the anthropometric assessment of under-5 children attending an urban primary health centre in Delhi, India. METHODS: The study was conducted from December 2022 to February 2023. A baseline assessment was conducted to identify the gaps in the anthropometric measurement of under-5 children visiting the outpatient department. A QI team consisting of doctors and key health staff of urban health centre as its members was formed. A root cause analysis of the identified problems was done and changes were planned and implemented in a Plan-Do-Study-Act cycle. RESULTS: There was a marked improvement in the quality of anthropometric measurements, particularly in length measurement for children <24 months of age (0% at baseline vs 81.0% at end-line). However, the improvement in weight measurement of children less than 5 years was lesser (16.2% at baseline vs 44.6% at end-line). CONCLUSION: Anthropometric assessment of under-5 children can be standardised through the involvement of all stakeholders and capacity building of the concerned healthcare providers, using the QI approach. Repeated assessments are required to ensure the sustainability of the change.

Maternal thyroid function and offspring birth anthropometrics in women with polycystic ovary syndrome.

Objectives: Polycystic ovary syndrome (PCOS) and thyroid disorders have both been linked to adverse pregnancy and neonatal outcomes. Even small variations in thyroid function within the normal range may influence fetal growth. Our aim was to investigate whether maternal thyroid function is associated with newborn anthropometrics in PCOS and explore the potential modifying effect of metformin. Methods: Post-hoc analyses of two RCTs in which pregnant women with PCOS were randomized to metformin or placebo, from first trimester to delivery. Maternal serum levels of thyroid stimulating hormone (TSH) and free thyroxine (fT4) were measured at gestational weeks (gw) 5-12, 19, 32 and 36 in 309 singleton pregnancies. The mean z-scores of birthweight, birth length, and head circumference were estimated in the offspring. Associations of maternal thyroid parameters with offspring anthropometrics and the outcomes large for gestational age (LGA) and small for gestational age (SGA) were studied using linear and logistic regression models, with adjustment for body mass index (BMI) when relevant. Results: Maternal fT4 at baseline was negatively associated with birth length (b= -0.09, p=0.048). Furthermore, ΔfT4 during pregnancy correlated positively to z-score of both birth weight and length (b=0.10, p=0.017 and b=0.10, p=0.047 respectively), independently of treatment group. TSH at baseline and gw19 was inversely associated with LGA (OR 0.47, p=0.012 and OR 0.58, p=0.042), while ΔTSH was positively associated with LGA (OR 1.99, p=0.023). There were inverse associations between TSH at baseline and SGA (OR 0.32, p=0.005) and between ΔfT4 and SGA (OR 0.59, p=0.005) in the metformin group only. There were no associations between maternal thyroid function and head circumference of the newborns. Conclusion: In women with PCOS, a higher maternal fT4 in early pregnancy and a greater decrease in fT4 during pregnancy was associated with a lower offspring birthweight and shorter birth length. Higher TSH by mid-gestation and smaller increase in TSH during pregnancy was associated with less risk of LGA. Subclinical variations in maternal thyroid function might play a role for birth anthropometrics of PCOS offspring.

Relationship between preoperative nutritional status assessed using anthropometric measures and postoperative complications in pediatric surgical patients.

AIM: To determine the relationship between preoperative nutritional status assessed using anthropometric measures and postoperative complications in pediatric surgical patients. METHODOLOGY: This prospective observational cohort study included 650 patients from 6 months to 18 years undergoing elective surgery at our institution. Elective surgery included procedures such as herniotomy, orchidopexy, urethroplasty, cystoscopy, PUV fulguration, pyeloplasty, ureteric reimplantation, stoma formation/closure, anorectoplasty, pull-through, choledochal cyst excision and repair, VP shunt insertion, lipomyelomeningocele repair, diastematomyelia excision and repair, and cyst excision. Nutritional status was standardized using Z scores for weight, length, and BMI. Patients were monitored for a month following surgery to detect any complications, and they were classified into five grades using the Clavien-Dindo classification. The duration of hospital stays and readmission within 30 days following discharge were secondary outcomes. RESULTS: There were 627 patients of both sexes involved in the study: 350 patients aged 6 months to 5 years (Group A), while 277 were aged between 5 and 18 years (Group B). Wasting status was 47.71% in Group A and 41.52% in Group B. In Group A, 40% of patients were stunted, while 83.75% were in Group B. Group A had 57.14% underweight patients. The complication rate was 39.14% in Group A and 38.99% in Group B. The incidence of postoperative complications was not significantly different in malnourished patients. The patients with prolonged duration of surgery (> 2 h) developed more complications in both groups (Group A-67.2%, Group B-82.6%; p < 0.0001). In addition, the patients who experienced complications had lengthier hospital stays (p < 0.001 in both groups) and increased readmission rates (p = 0.016 in Group A and p = 0.008 in Group B). CONCLUSION: In our study, half of the patients in Group A and nearly two-third in Group B were malnourished. The preoperative poor nutritional status based on anthropometric parameters is not associated with increased postoperative complications. Randomized control trials linking preoperative malnutrition based on anthropometric measures and clinical outcomes in pediatric surgery patients are necessary to provide more robust information on this subject.

Effects of different resistance training programmings on the relative strength, body composition, anthropometric variables, and metabolic risk of elderly women.

The purpose of this study was to analyze the effect of two different programming models of resistance training (RT) on metabolic risk, anthropometric variables, and relative strength in elderly women. The research was a prospective and comparative longitudinal study with a non-probabilistic random sample. Twenty-two elderly women (64 ± 3 years) was divided into two experimental groups being the Linear programming (LP, n = 12) and Daily undulatory programming (DUP, n = 10), with 3 sessions/week for 12 weeks. Submaximal strength (10RM) was evaluated in the horizontal leg press (HL), pulldown (PD), leg curl (LC), vertical bench press (BP), and leg extension (LE). Anthropometric variables, food intake (R24h) and submaximal strength (10RM) was analyzed. Participants were initially classified as overweight or obese evaluated by body mass index (BMI) and percentual of fat mass (%FM) and with moderate to high risk to develop metabolic diseases evaluated by hip-waist ratio (HWR), waist-height ratio (WHR) and waist circumference (WC). There is no change for metabolic risk and anthropometric variables after the intervention period. There was a significant improvement for relative strength accessed by 10RM and body weight (10RM/BW), and lean body mass (10RM/LBM) (p < 0.05), with large or medium effect size for most of variables after 12 weeks of RT. As a conclusion, both programmings increased relative strength after 12 weeks of RT with attenuated change in body composition and metabolic risk in elderly women in both programming groups and all those strategies can be used in elderly women to improve strength.