Anthropometric Research Articles

5174 A longitudinal retrospective cohort study on the application of the Superimposition by translation and rotation (SITAR) model to estimate body composition growth trajectory in Korean children and adolescents during puberty

Abstract Disclosure: S. Kim: None. S. Kim: None. J. Suh: None. Introduction: In addition to adulthood, pediatricians have noted a growing emphasis on research concerning sarcopenic obesity. Studies in this field have expanded beyond basic BMI-related inquiries, actively delving into investigations based on body fat mass (BFM) and fat-free mass (FFM). However, limited research has systematically analyzed the acquisition of body composition during children and adolescence based on longitudinal data. Objective: This study aims to assess the acquisition of weight, FFM, and BFM during the pubertal growth of Korean children and adolescents. Methods: This study utilized mixed longitudinal body measurement and body composition data, employing bioelectrical impedance analysis, from 4,641 height measurements (2,204 for boys and 2,437 for girls) obtained from 361 individuals (170 boys and 191 girls) among Korean children and adolescents aged 7 to 18. The SITAR (the Superimposition by Translation and Rotation) model, a shape-invariant growth curve model, was used to estimate a reference height velocity curve during pubertal growth. Results: The SITAR methodology allowed us to investigate the timing, magnitude, and intensity of adolescent weight, FFM, and BFM gain. The results revealed significant differences in growth trajectories between boys and girls, with boys exhibiting a persistent elevation in FFM and a pattern of ascent followed by a decline in BFM, while girls show an increase in BFM and a deceleration in FFM growth. In Korean boys, the peak weight velocity (PWV) occurred at a mean age of 12.41 years, with a rate of 8.19 kg/year. Peak fat-free mass velocity (PFV) was observed at a mean age of 9.69 years, with a rate of 7.60 kg/year, and peak body fat mass velocity (PBV) at a mean age of 12.70 years, with a rate of 2.67 kg/year. In Korean girls, the mean age of PWV was 11.28 years, with a velocity of 6.33 kg/year. PFV occurred at a mean age of 12.33 years, with a rate of 4.86 kg/year, and PBV at a mean age of 11.13 years, with a rate of 2.72 kg/year. The ages of peak velocities of height (PHV), PWV, PFV, and PBW positively correlated. Conclusions: This study is the first to apply the SITAR model to examine the acquisition of body composition in Korean children and adolescents. Future research should delve into exploring the connections between various disease groups during childhood and adolescence and the patterns of change in body composition. Presentation: 6/1/2024

Vertebral body density role in determining vertebral osteoporotic fracture type and its progression.

Vertebral osteoporotic fractures (VOF) are among the most frequent fractures in the elderly, often leading to an impaired lifestyle and a high economic burden. Although a reduced bone mass density is considered one of the main risk factors for VOF, its role in determining the fracture type, using the AO spine-DGOU classification for osteoporotic thoracolumbar fractures, as well as its progression, is unknown. The current study aimed to: (1) reveal whether the bone density of the vertebral bodies of fractured and non-fractured vertebrae predicts the type of fracture, (2) examine whether bone density is associated with the initial and progressive collapse of the vertebral body, and (3) provide predictive measures for fracture progression. The study sample included 124 patients (40 males and 84 females) with an acute osteoporotic vertebral fracture who underwent a computerized tomography scan at the time of diagnosis and an x-ray at least 3 months later. The bone density of the fractured and adjacent (non-fractured) vertebrae was measured at diagnosis. The magnitude of the collapse and the progression of the fracture over time were calculated from height measurements of the vertebral bodies at diagnosis and follow-up. Age was a significant factor in predicting the fracture type and magnitude of collapse, whereas sex and bone density were not. The severity of the fracture was involved in predicting its progression, demonstrating that severe-type fractures tended to continue to collapse after diagnosis. However, when each type was examined independently, the density of the fractured vertebra had a protective effect on fracture progression. To conclude, identifying the type of fracture is beneficial in determining patient prognosis. Furthermore, the density of the fractured vertebra, the magnitude of collapse, and patient age are valuable predictors of fracture progression.

Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis.

Mobile apps represent accessible and cost-effective tools to improve nutrition and prevent chronic diseases. However, most of these apps have been characterized as having limited functionality, raising concerns about their effectiveness, acceptability, and efficacy. The aims of the study were to assess the quality of popular nutrition-related app platforms in Spain and to describe their characteristics and functionalities. We screened apps providing information on dietary advice, food advice, and nutritional content in the Apple App Store and Google Play Store in Spain from March 2 to March 16, 2024. Apps with a star rating of ≥4 (of 5 stars), those available in Spanish, those that were free of charge, those last updated after January 2022, those with >500 reviews, and those with >500,000 downloads were included. The quality of apps was assessed using the user version of the Mobile App Rating Scale (uMARS). General characteristics and nutritional, health, and market-related functionalities of the nutrition-related apps were described. Correlations among total and uMARS sections, star ratings, and number of reviews and downloads were evaluated. Among the 1460 apps identified in the search, 42 apps met the criteria. The majority of these (n=20, 48%) aimed at recording and analyzing food intake, followed by those providing nutritional plans or diets (n=9, 21%), advising on healthy habits (n=7, 17%), and offering recipes (n=6, 14%). The most prevalent nutritional functionalities offered were recording and monitoring body measurements (n=30, 71%), food tracking (n=26, 62%), and dietary analysis (n=25, 60%), whereas nutrition education was less common (n=16, 38%). Among market-related functionalities, advertisements were the most common among the study apps (n=30, 71%), followed by the option of sharing on social media (n=29, 69%) and customizable reminders (n=26, 62%). Sharing the recorded information in the app with health professionals was infrequent (n=1, 2%). The mean (SD) total uMARS score (maximum 5 points) was 3.78 (0.35), while the mean (SD) uMARS scores for functionality, aesthetics, engagement, and information were 4.21 (0.38), 3.94 (0.54), 3.51 (0.46), and 3.48 (0.44), respectively. Lower mean scores were observed for the subjective quality (mean 2.65, SD 0.56) and perceived impact (mean 3.06, SD 0.67). Moderate to strong positive significant correlations were mostly observed between total uMARS and section-specific uMARS scores, while the correlations between the uMARS section scores were mostly moderate positive. Total uMARS scores were very weakly correlated with user rating, number of reviews, and number of downloads. The quality of popular nutrition-related app platforms in Spain was acceptable, with observed remarkable differences between sections. The majority of the apps were appealing due to their user-friendly interfaces. Only a few apps, however, provided dietary structure analysis or nutritional education. Further research is needed to assess the long-term impact of these apps on users.

Supplementation with 25-hydroxicolecalciferol increases the nutritional efficiency and carcass growth of grazing Nellore young bulls

We aimed to evaluate the effect of 25-OH Vit D3 (Hy-D, DSM, Brazil) supplementation on the performance, body measures, and carcass characteristics of growing and finishing grazing Nellore young bulls. Two experiments were conducted. In Experiment 1, 150 animals (body weight (BW) of 350 ± 23kg) were separated into 6 treatment groups: protein supplement (PS); protein supplement with monensin (PS+Mon); protein supplement with 25-OH Vit D3 (PS+Vit D3); protein supplement with monensin and 25-OH Vit D3 (PS+Mon+Vit D3); protein-energetic supplement (PE); protein-energetic supplement with 25-OH Vit D3 (PE+Vit D3). In Experiment 2, 240 animals with an initial BW of 390 ± 16kg were separated into the same protein-energetic supplement treatment groups used in Experiment 1 with or without 25-OH Vit D3 (two treatments). Animals in the different treatments of Experiment 1 had similar ADG and final BW values (P > 0.05), except for those that received monensin in PS, which showed lower ADG (P < 0.05). The addition of monensin to the PS inhibited increases in the body measures (P < 0.05) except for the height at withers (P > 0.05). Animals that received PE+Vit D3 showed greater increases in rib width (P < 0.05). In Experiment 2, animals that received 25-OH Vit D3 were 8.0kg heavier than the animals that did not receive this supplement (P < 0.05). The results show that supplementation with 25-OH Vit D3 is a promising and effective method of improving carcass weight and yield in finishing beef cattle during grazing.

Application of menthol anesthetics for body size measurements of the sea angel Clione elegantissima (Mollusca: Gymnosomata)

Understanding body size variation has been a central goal in ecology for almost half a century. However, it is difficult to measure the size of soft-bodied invertebrates accurately, such as members of the genus Clione, which expand and contract their bodies. To allow for accurate body length measurements, anesthetic menthol was used to temporarily relax the bodies of Clione elegantissima collected from the southern Okhotsk Sea. A standard solution was prepared using 1.4 g l-menthol dissolved in 250 mL ethanol. Three test solutions were then prepared using 0.1, 0.25, or 0.5 mL of the standard solution and dissolved in 20 mL of filtered seawater. Using a menthol-based anesthetic, the animals extended their body parts (including foot lobes, wings, and head tentacles), remained motionless, and showed no reaction to pricking with forceps. All tested animals returned to their actual sizes within 1–15 min after placing them back in filtered seawater, indicating that the menthol-based solutions were effective and harmless. The best concentration for measuring the body size C. elegantissima was 0.1 mL of the standard solution. It allowed not only bodies but head tentacles to stretch, providing to the full-length of Clione samples for body size measurements. We suggest that this anesthetic can be used as a new standard for body measurements and morphological observations in Clione species.

Ultrasound-guided Deep Waist Fat Liposuction: Complement to a Narrow Waist.

For body contouring, the waist plays an important role in both male and female body structure. Currently, there are procedures that aim to achieve a narrow waist as a result, to achieve an adequate waist-to-hip ratio. This study proposes a technique of ultrasound-guided deep liposuction of the lumbar triangle to achieve favorable and safe aesthetic results. The technique was applied in 142 patients who provided informed consent. During liposuction, ultrasound was used as a guide to avoid contact with vital organs, and in the postoperative stage, a satisfaction survey was administered on the aesthetic results obtained. In addition, patients had a preoperative waist measurement and a postoperative waist measurement at 3 months. The deep liposuction technique in the lumbar triangle is safe, no serious complications were observed, and the results of the satisfaction survey regarding the aesthetic result after the third postoperative month showed 100% satisfaction. In addition, it was found that the body measurements of the waist before the operation and 3 months later showed a difference between 8 and 15 cm less in the diameter of the waist after the technique was applied. Deep liposuction of the lumbar region is a safe technique, due to the use of ultrasound for patient care, and enhances patient satisfaction with the aesthetic results.

Effects of Body Indices and Shoeing on Hoof Morphometry among Sudanese Country-Bred Polo Horses in Nigeria

Several factors influence hoof size which largely determine the normal function of the equine limbs. The effects of shoeing and body indices on hoof morphometry among Sudanese country-bred polo horses in Nigeria were evaluated in the present study. Apparently healthy, shod/barefooted Sudanese country-bred mares without hoof abnormalities were randomly selected and included in the present study. As body indices, we measured the height at withers, heart-girth, body length, and body weight; as hoof parameters, we measured the toe length, solar length, hoof width, and dorsal and ventral hoof wall width on all limbs. Pearson correlation analysis and the independent sample T test were applied for data analysis. The mean height, body weight, heart girth and body length of the Sudanese country-bred horses were 1589.5 ± 56.0 mm, 430.8 ± 42.9 kg, 1758.8±65.31mm and 1649.4±50.03mm respectively which were not significantly different between the shod and barefooted. The dorsal hoof wall width and the hoof solar length and width between the shod and barefooted groups differed statistically significantly (p&lt;0.05). In Sudanese country-bred mares, there was a strong positive correlation that was different significantly between the heart-girth, body length, and body weight. Hoof morphometry and body indices showed a strong positive correlation. The most important ratios relating to hoof size differences between horses with shoes and those without were the hoof index, length, and width to body measurement ratios. According to this study, Sudanese Country-bred horses' hoof morphometry is significantly impacted by shoeing and body indices.

Breeding work with kazakh horses Zhabe type

Background and Aim. Kazakh horses of Zhabе type differ from local horses in their higher live weight and larger body measurements. Breeding work with Kazakh horses of the Zhabе type is carried out at Tailak farm in Zharminsky district of East Kazakhstan through targeted reproduction, cultivation, and widespread use of the best individuals based on their origin, exterior, productivity, adaptation to year-round grazing, and quality of offspring from stallions and mares. Individuals that are not up to these standards are strictly culled. The aim of the research is to determine meat productivity and study genetic characteristics of a sample of modern population of Kazakh horses of Zhabe type using DNA markers.Materials and Methods. The material for the study was DNA genotyping data from 20 horses of the Kazakh breed type Zhabe. The horses were genotyped according to 17 STR lоci rеcommended by the Internаtional Sоciety for Animаl Gеnetics (ISАG). The international alphabetical code was used to identify alleles. Genetic and population analyses were performed using the GenAIEx software 6.5. The follоwing indicаtors wеre calculаted: the averаge numbеr of allеles per lоcus (Na), the effеctive numbеr of allеles (Ne), levеls of expеcted (He) and obsеrved heterozygоsity (Ho), and inbreеding cоefficient (FIS) .Results. A study on 17 STR loci of DNA in Kazakh horses Zhabе type has shown that they have a unique allele pool with a significant number of identified alleles and high genetic variability. The average inbreeding coefficient (FIS) is negative (-0.059), indicating that the genetic diversity of this breed is preserved within this group.Conclusion. The improvement of these horses is achieved through breeding and cultivation of animals with high genetic potential for productivity, which is passed down through generations of descendants. This is done by carefully selecting horses with desirable traits for breeding.

Predicting the level and digital achievement in terms of some body measurements of 2000-meter rowing players in qualifying for the 2023 Asian Cup Championship

The study aimed to identify the relationship of body measurements to the level and digital achievement of 2000-meter rowing players in the 2023 Asian Cup Championship, and to identify the contribution of body measurements to the digital level of 2000-meter rowing players, and to identify the extent of the efficiency of body measurement variables in predicting the level and digital achievement of rowing players, while the research sample was represented by the players of the national rowing team participating in the Asian Cup Championship held in Iran 2023, numbering (15) players who were selected intentionally, as well as the arithmetic mean and deviation Standard, simple correlation coefficient, multiple regression coefficient by regression method, and regression coefficient by stepwise regression method, by using the statistical bag spss to reach the results, and the most important conclusions that appeared were that the body measurements have a high significant correlation with the level and digital achievement of rowers, while it appeared that the body measurements also have high contribution rates to the level and digital achievement of rowers

Gender and Sex-Based Differences in Hypertension Risk Factors Among Non-Hispanic Asian Adults in the United States.

The prevalence of hypertension (HTN) is rising at an accelerated rate, and it remains the primary factor contributing to cardiovascular illnesses. Sex can serve as an influencing factor, leading to variations in the factors affecting HTN. This study aimed to investigate gender and sex differences in the prevalence of HTN and explore the associations between HTN and 4 categories of risk factors: demographics, habits or lifestyle, body measurement, and laboratory blood results among non-Hispanic Asians in the United States. This secondary analysis included non-Hispanic Asian adults aged 18 years or older from the 2017 to 2018 National Health and Nutrition Examination Surveys. Among the 815 participants, 35% of men (140 of 399) and 37% (154 of 416) of women had HTN (P = .610). The mean age for men is 46.03 ± 16.9 years, whereas the mean age for women is 49.24 ± 16.8 years. After regression analysis, advancing age, increased body mass index, and increased serum uric acid were significant predictors of HTN in both sexes. However, men developed HTN earlier compared with women. Marital status and increased fasting glucose were only significant in men. Compared with their never-married counterparts, men who were currently married or living with a partner had lower odds of having HTN (odds ratio, 0.28; P = .034). There was no significant difference in the prevalence of HTN between the sexes. Age, body mass index, and serum uric acid were significant risk factors in both men and women. Meanwhile, marital status and fasting glucose were only significant in men.

Nutrition, Growth, and Age at Puberty in Heifers

Puberty onset and age at first calving have a critical impact on livestock production for good reproductive efficiency of the herd and to reduce the duration of the non-productive stage of the growing heifer. Besides genetic factors, sexual maturation is also affected by environmental factors, such as nutrition, which can account for up to 20% of the observed variability. The rate of body weight gain during growth is considered the main variable influencing the age at puberty, dependent on planes of nutrition in growing animals during the prepubertal-to-pregnancy stage. This paper reviews current knowledge concerning nutrition management and attainment of puberty in heifers, considering the relevance of some indicators such as body measurements and hormones strictly linked to the growth and puberty process. Puberty onset is dependent on the acquisition of adequate subcutaneous adipose tissue mass, as it is the main source of the hormone leptin. Until a certain level, body condition score and age at puberty are negatively correlated, but beyond that, for fatter animals, such correlation is gradually lost. Age at puberty in heifers was reported to be negatively related to IGF-1. Future research should be planned considering the need to standardize the experimental animals and conditions.

Performance and health status in preweaning semi-indoor holstein calves wearing calf jackets during winter months.

The purpose of this study was to investigate whether jacket wearing by semi-indoor Holstein calves affected performance, body measurements and health status in the preweaning period throughout the winter months. A total of one hundred calves were allocated into two treatment groups (control and jacket) in terms of their weights and sex. The calves throughout the study period were raised at individual calf hutches in a semi-open barn. All calves and the consumed concentrate intakes were weighed every 28 days to determine body weight (BW), average daily gain (ADG), total and daily feed consumption (TFC, DFC). Incidence rate (IR) ratios were calculated from the records of daily health assessments. Calves in treatment group were jacketed from first to 45 days of age. The weaning process started gradually at 56 days of age and the calves were weaned on day 63. No significant effects of wearing jackets in terms of body measurements and performance. The respiratory diseases IR was 1.15 times higher in calves without jackets, which means that calf health was positively affected by wearing jackets. The improved health status of the treatment group showed that wearing jackets may protect calves from adverse effects of cold stress. There is a need for more comprehensive studies about the effect of calf jackets in early periods of preweaning, especially in calves in outdoor hutches.

Automated body measurement of beef cattle based on keypoint detection and local point cloud clustering

Abstract Body size parameters of beef cattle are crucial for assessing growth status and breeding value. In actual farming environments, the various postures of beef cattle and complex backgrounds can affect the accuracy and stability of non-contact body measurement methods. Therefore, this paper proposes a novel method called the cattle body measurement method (CBMM), which combines keypoint detection with local point cloud clustering. First, a keypoint detection model based on YOLOv8-SimBiFPN is constructed. This model enhances the feature extraction and fusion capabilities of YOLOv8-pose by introducing SimAM and BiFPN into the backbone and neck networks, respectively, and realizes 2D keypoint detection for beef cattle in various postures. Second, a 3D keypoint-locating algorithm based on Density-based spatial clustering of applications with noise (DBSCAN) is proposed. This algorithm utilizes 2D keypoints, depth maps and camera parameters to generate local point clouds, which are then clustered using DBSCAN to segment cattle body point clouds, thereby relocating the 3D keypoints based on their positional features. Finally, body size parameters are calculated based on the 3D keypoints and distance formulae. In our experiment, the mean average precision (mAP@0.5) of YOLOv8-SimBiFPN reached 99.1% on an Angus beef cattle keypoint detection dataset. The mean absolute percentage errors for measuring beef cattle withers height, hip height, body depth, body length, and oblique body length using the CBMM were 4.37%, 4.96%, 6.47%, 4.84%, and 4.14%, respectively. In summary, our method can achieve non-contact body measurement for beef cattle in a free-moving state with high accuracy and stability.

Effects of cassava root meal on the growth performance, apparent nutrient digestibility, organ and intestinal indices, and slaughter performance of yellow-feathered broiler chickens.

With the global population growth and shortage of food, the competition between humans and animal for food will become increasingly fierce. Therefore, the development of unconventional energy feed cassava feed is of great significance. The objective of this study was to investigate the effects of cassava root meal (CRM) on the growth performance, apparent digestibility, and organ and intestinal indices of broiler chickens. A total of 140 one-day-old chicks were randomly assigned to four dietary treatment groups [control diet (CT), 15% CRM (CRM15), 30% CRM (CRM30), and 45% CRM (CRM45)] with five replicates of seven birds per replicate. The results showed that the body weight of broiler chickens fed diets containing CRM were significantly lower than that in the CT group at 21 and 42days of age, the average daily gain and average daily feed intake in the CRM group were significantly lower than those in the CT group from 1 to 21days of age. However, from days 22 to 42, there were no significant differences between CRM15 and CT birds regarding average daily gain and average daily feed intake. but there was no difference in feed conversion rate between the CRM15 and CT groups. At 42days of age, there were no significant differences between CRM15 and CT birds in in body measurements, the slaughter performance and the percentage of semi-eviscerated yield. The addition of CRM reduced the proportion of breast and thigh muscles during the feeding period, although we detected no significant difference between CRM15 and CT regarding the apparent digestibility of nutrients. Collectively, our findings indicate that 15% cassava was the optimal proportion for supplementing diets for broiler chicken production.

Prediction of People With Type 2 Diabetes Not Achieving HbA1c Target After Initiation of Fast-Acting Insulin Therapy: Using Machine Learning Framework on Clinical Trial Data

Background and Aims: Glycemic control is crucial for people with type 2 diabetes. However, only about half achieve the advocated HbA1c target of ≤7%. Identifying those who will probably struggle to reach this target may be valuable as they require additional support. Thus, the aim of this study was to develop a model to predict people with type 2 diabetes not achieving HbA1c target after initiating fast-acting insulin. Methods: Data from a randomized controlled trial (NCT01819129) of participants with type 2 diabetes initiating fast-acting insulin were used. Data included demographics, clinical laboratory values, self-monitored blood glucose (SMBG), health-related quality of life (SF-36), and body measurements. A logistic regression was developed to predict HbA1c target nonachievers. A potential of 196 features was input for a forward feature selection. To assess the performance, a 20-repeated stratified 5-fold cross-validation with area under the receiver operating characteristics curve (AUROC) was used. Results: Out of the 467 included participants, 98 (21%) did not achieve HbA1c target of ≤7%. The forward selection identified 7 features: baseline HbA1c (%), mean postprandial SMBG at all meals 3 consecutive days before baseline (mmol/L), sex, no ketones in urine, baseline albumin (g/dL), baseline low-density lipoprotein cholesterol (mmol/L), and traces of protein in urine. The model had an AUROC of 0.745 [95% CI = 0.734, 0.756]. Conclusions: The model was able to predict those who did not achieve HbA1c target with promising performance, potentially enabling early identification of people with type 2 diabetes who require additional support to reach glycemic control.

Establishing the program to predict Shirt Sizes with Fuzzy Logic

This paper presents a program for prediction shirt size with a fuzzy logic technique. The Mamdani model is applied to a MISO fuzzy system with two inputs and one output. Neck girth and sleeve length are chosen as the primary dimensions, serving as input variables for this simulation model. In this study, fuzzy logic is used to select the size of the Min-Max rule. The IF-THEN structure is applied to execute commands effectively within this model. The outcome is an appropriate size. The program’s fuzzy rule matrix consists of 45 rows and 5 columns. Each row is a fuzzy rule. The first column represents the 9 sizes of necklaces. The second column represents the 5 groups of sleeve lengths. The third column represents the 9 predicted sizes in the output. The third column represents the 9 predicted output sizes. The fourth column is the weight coefficient. The last column represents the logical connection type. The fuzzy logic approaches significantly reduces the time required. This approach provides an alternative method for prediction sizes that more accurately align with individual body measurements, offering a personalized fit.

The Effects of Restricted and Ad Libitum Milk Feeding on Growth and Health of Calves

In recent years, there has been a growing concern among consumers regarding animal welfare and their requirements, leading to an increased interest in exploring new approaches to calf rearing. Therefore, the aim of this study was to investigate the effects of milk feeding levels on the growth, feed intake, and blood variables of group-raised calves during the suckling period. Ten Holstein calves, 5 in each group, were used in the study when they were five years old. The calves were acclimated to an automated feeder during the initial 19 days of the experiment, and their initial LWs were recorded after weighing them again. The study concluded upon weaning the calves when they were sixty years old, with a total duration of 36 days The calves in the first group (G1) were provided with a total of 4 L/day of milk replacer, divided into 2 L servings in the morning and evening. Conversely, calves in the second group (G2) were allowed a maximum intake of 12 L/day of milk replacer, mimicking the natural sucking behaviour, with feedings in the morning (05:00-08:00), midday (10:00-13:00), and evening (16:00-20:00). Despite no significant differences in the LW, total and daily LW gains, and body measurements averages between of the groups, calves in G1 consumed more starter feed compared to those in G2 (P

Individual differences in proprioceptive reorientation: a study on body characteristics and Posturography

ABSTRACT Spatial reorientation guided by the proprioceptive information derived from walking on a slanted floor has revealed large individual and sex differences. Here we addressed the role of body characteristics and measures of stability and balance-related sensory function from computerized dynamic posturography. Blindfolded participants walked in a slanted arena and had to identify the uphill direction (Perceptual task) and use the slope to remember the location of a target object (Memory task). Male participants performed better in the Perceptual task. In the Memory task, heavier participants made smaller errors, suggesting that body mass may influence how we navigate in the environment.

Stature estimation in male and female populations of India and Nigeria depending on other anthropometric parameters using multiple regression analysis

In cases of mass disasters, accidents, or criminal investigations where the identity of victims is unknown certain basic anthropological parameters are helpful in ascertaining these like race, sex, age and stature. Estimating stature using multiple body measurements such as shoulder breadth, foot length, thigh length, and knee height is a common approach in anthropometry and forensic anthropology. The presence of sex and population differences in anthropometric indicators allows these measurements to be used not only to estimate the stature of an individual, but also to determine sex, different races or populations based on skeletal remains. The purpose of the study is to develop and practically verify the work of regression equations for estimating stature depending on other anthropometric indicators of men and women of two ethnically diverse populations. For this study, anthropometric data were gathered from two distinct population groups: Indian (n=102) and Nigerian (n=205). Basic demographic details along with measurements of shoulder breadth, sitting shoulder height, sitting foot length, sitting knee height, and sitting thigh length were obtained using standardized techniques as per the established anthropometric protocols. Statistical analysis was performed using appropriate software packages such as SPSS, R, or SAS. The multiple regression method was used to estimate body length depending on other anthropometric indicators. As a result of the conducted multiple linear regression analysis, reliable relationships between stature and specific anthropometric measurements in Nigerian and Indian men and women were established. It was found that stature is highly likely to depend on knee height in a sitting position in Nigerian women (R2=0.531, p&lt;0.001), as well as hip length, foot length, and shoulder height in a sitting position in Indian men (R2=0.725, p &lt;0.001). Stature in Indian women reliably depends on hip length and foot length in a sitting position, and in Nigerian men - on hip length, foot length, shoulder width and shoulder height in a sitting position, but the regression equations have a coefficient of determination less than 0.5 (respectively, R2=0.463, p&lt;0.001 and R2=0.405, p&lt;0.001) and therefore do not have much significance for forensic purposes. Additional groups (30 people for each category) were used to test the obtained regression equations. The high correlation coefficients (0.6&lt;r&lt;0.75) observed in both test groups indicate the reliability of the regression models and the suitability of the selected anthropometric measurements for the estimation of stature in these populations. The obtained data emphasize the importance of taking into account factors specific to the population when developing regression equations for the estimation of stature and emphasize the usefulness of anthropometric measurements in predicting this indicator for different gender and demographic groups of the population, although their further verification on larger and more diverse samples is necessary.

Study of body measurements and components of variance for various body measurements of goats found in Southern Punjab

Variance components are estimated to further compute genetic parameters, and these components reflect variation of traits as well as their transferability to the next generation. This study was conducted to estimate variance components for different body measurements in Teddy goats in the southern Punjab. Data were subjected to mixed model analysis using ASReml software where restricted maximum likely hood procedure was adopted. These body measurements included diagonal body length, withers height, head length, neck length, ear length, ear width, tail length, distance between ears, and canon circumference. Body measurements were recorded using tailor tape and live weight will be measured by spring balance. The following form of animal model was applied; Yijklm= YOBi+ SOBj + Sexk + TOBl + A +Ԑijklm.. The estimates for variance components were used to compute genetic parameters.