Forearm Length Research Articles

Tests of covariate effects under finite Gaussian mixture regression models

Mixture of regression model is widely used to cluster subjects from a suspected heterogeneous population due to differential relationships between response and covariates over unobserved subpopulations. In such applications, statistical evidence pertaining to the significance of a hypothesis is important yet missing to substantiate the findings. In this case, one may wish to test hypotheses regarding the effect of a covariate such as its overall significance. If confirmed, a further test of whether its effects are different in different subpopulations might be performed. This paper is motivated by the analysis of Chiroptera dataset, in which, we are interested in knowing how forearm length development of bat species is influenced by precipitation within their habitats and living regions using finite Gaussian mixture regression (GMR) model. Since precipitation may have different effects on the evolutionary development of the forearm across the underlying subpopulations among bat species worldwide, we propose several testing procedures for hypotheses regarding the effect of precipitation on forearm length under finite GMR models. In addition to the real analysis of Chiroptera data, through simulation studies, we examine the performances of these testing procedures on their type I error rate, power, and consequently, the accuracy of clustering analysis.

Forearm bone mineral density as a predictor of adjacent vertebral refracture after percutaneous kyphoplasty in patients with osteoporotic vertebral compression fracture: a retrospective analysis

BackgroundThe incidence of adjacent vertebral body re-fracture after percutaneous kyphoplasty (PKP) is associated with a number of variables, of which decreased bone mineral density is one of the major risk factors. Forearm bone mineral density (BMD) measurements are gaining attention because of their convenience and validity, but there is a lack of systematic research on the specific relationship between forearm BMD and the risk of adjacent vertebral re-fracture after PKP.PurposeTo investigate the correlation between forearm BMD and the risk of adjacent vertebral re-fracture after PKP in osteoporotic vertebral compression fractures (OVCF) patients.MethodsRetrospective evaluation of 198 OVCF patients receiving PKP was conducted in this study. The patients were divided into two groups: the no-fracture group and the re-fracture group, according to whether or not they had undergone vertebral re-fracture. Obtain basic information about the patient's age, sex, body mass index, bone cement leakage, smoking history, diabetes history, and surgical segmentation. Using computed tomography, the mean Hounsfield unit (HU) values for the BMD of the L1 lumbar spine were determined. For the dual-energy X-ray BMD test, the distal one-third lengths of the patient's nondominant forearm's radius and ulna were chosen. Receiver operating characteristic curves were utilized to evaluate the predictive value of forearm BMD versus lumbar CT values for vertebral re-fracture, and univariate and multivariate logistic regression analyses were employed to identify characteristics related with vertebral re-fracture following PKP.ResultsRe-fracture rate after PKP was 17.2% at a minimum 12-month follow-up. Significant differences were seen between the refracture and non-fracture groups in terms of hypertension, Cobb angle correction, vertebral height recovery rate, intradiscal cement leakage, forearm bone density, and vertebral HU values. In multifactorial logistic regression analysis, forearm bone density (OR 0.821; 95% CI 0.728–0.937, p = 0.008) and HU values (OR 0.815; 95% CI 0.733–0.906, p = 0.005) were independent risk factors for vertebral re-fracture. The area under the curve (AUC) for forearm BMD values and HU values predicting adjacent vertebral re-fracture were 0.956 and 0.967, respectively.ConclusionsForearm BMD is an independent risk factor for re-fracture of adjacent vertebrae after PKP. In addition, forearm BMD, as a valid indicator of postoperative re-fracture after PKP in patients with OVCF, and the HU value of lumbar spine CT were both powerful tools for predicting re-fracture.

Long-term patterns of forearm asymmetry in females of three syntopic bat species and its effects on individual fitness

Fluctuating asymmetry, the non-directional deviation from bilateral symmetry resulting from developmental instability, can indicate early-life environmental stress. While fluctuating asymmetry can affect individual survival and reproductive success, its effect on fitness differs between species. Here, we analyzed up to 27 years of mark-recapture data from 894 RFID tagged individuals of three forest-living bat species in southern Germany to investigate the degree of fluctuating asymmetry in forearm length. In Bechstein’s bats, Myotis bechsteinii, the species with the highest sample size, we furthermore investigated if fluctuating asymmetry has become more frequent over the study period, a time when juvenile bats have grown larger forearms in response to warmer summers. We also investigated whether fluctuating asymmetry affects individual lifespan and lifetime reproductive success in female Myotis bechsteinii. The degree of fluctuating asymmetry clearly exceeding the measurement error estimated on recaptured individuals was similar in all three species (1.8%). In female Myotis bechsteinii, the frequency of fluctuating asymmetry did not increase over the course of the study and even strong asymmetry had no effect on individual reproductive success and life expectancy. Our data suggest that fluctuating asymmetry is a poor predictor of fitness in the female Myotis bechsteinii studied, and is so far unaffected by the warming environment which is leading to larger individuals in our study population.

Exploring anthropometric and functional factors that influence working adult's handgrip strength in north Australia.

Handgrip strength (HGS) is a reliable assessment of hand function. Interpretation of HGS is commonly done using normative data. Normative HGS data HGS considers the influence of age and gender without adjustment for anthropometric measurements or functional factors known to influence HGS. To determine the potential relationship of select anthropometric measurements (height, weight, hand length and width, forearm length and circumference) and functional factors (hand dominance, work and lifestyle category) to HGS. This study included a sample of 119 males and 96 female workers from North Queensland. HGS and six anthropometric measurements were obtained using calibrated instruments and reliable measurement protocols. Age and gender along with three functional factors were documented by self-report. Right and left mean HGS was greater for individuals who performed heavy/very heavy work (58.1±10.1 kg and 54.1±10.9 kg respectively) compared to light (38.5±12.3 kg and 35.5±11.8 kg) or medium work (44.1±10.8 kg and 40.0±12.9 kg). Mean HGS was greater for individuals who performed heavy/very heavy activity (right 48.5±13.6 kg and left 44.5±13.7 kg) compared to light activity (right 36.3±11.2 kg and left 33.9±11.3 kg) within their lifestyle. HGS positively correlated with gender (p = 0.0001), work (p = 0.001) and anthropometric measurements of forearm circumference (p = 0.001), hand length (p = 0.006) and hand width (p = 0.052). Easy to measure anthropometric measurements of forearm circumference, hand length and width are the strongest predictors of HGS in addition to an individual's physical activity at work and in their lifestyle. Consideration of these factors could lead to improved evaluation of HGS scores.

Roosting ecology, reproduction, and population fluctuations of three Hipposideros species (Chiroptera) in Indonesian caves

Abstract Hipposideros spp. are insectivorous bats and karst cave dwellers. This study aimed to study the roosting ecology, reproduction, and population fluctuations of three species H. diadema, H. larvatus, and H. ater in Gunung Sewu Karst region, Indonesia. Age and reproductive status of individuals were identified and analyzed using a combination of forearm length (FA) and body mass grades (W). Multiple regression analysis was used to determine the correlation between population size, rainfall and population structure based on FA, reproductive status, and W. Crude birth rate (CBR) and general fertility rate (GFR) were used to determine the population’s birth rate and female fertility. The results showed that the population of the three Hipposideros species were quite stable over the year with a peak in January which classified them as monoestrous, with mating, pregnancy, and lactation occurring once a year with no delay between mating and pregnancy. Pregnancy lasted 8–12 weeks and lactation 4–5 weeks. The population structure of the three species tended to be stable over the year. The CBR and GFR values can be used for rapid assessment guidelines in an area.

The examination of relationships between upper extremity joint lengths, reaction time and shoulder strength parameters in youth canoe athletes

The aim of this study was to investigate the relationships between upper extremity joint length, reaction time and shoulder strength in young canoe athletes. The study was carried out with the voluntary participation of 23 young canoe athletes. Within the scope of the research plan, height measurements, body weight measurements, length measurements of the upper extremities (arm and forearm length), arm span length measurements, reaction time measurements and isokinetic strength measurements of the athletes were carried out. The effect of joint length values on reaction time and shoulder strength parameters was examined by multiple linear regression analysis. The results show that joint length values have a significant effect on reaction time and shoulder strength values in canoe athletes (p

Gender Differences in the Relationship between Forearm Length and Height across Different Age Groups: A Correlation and Regression Analysis

Abstract Introduction: Forearm length (FrL) and height (Ht) are important anthropometric measurements used in clinical practice and research. This study aimed to investigate the correlation and regression between FrL and Ht in males and females across different age groups. Materials and Methods: Participants aged 18 to under 23 years were recruited, and FrL and Ht were measured using standardised techniques. Pearson’s correlation coefficient and regression analysis were used to analyse the data. Results: The correlation analysis revealed a moderate-to-strong positive correlation between FrL and Ht in males across all age groups, with correlation coefficients ranging from 0.318 to 0.866. In females, the correlation was weaker, ranging from 0.123 to 0.561. Regression equations were derived to estimate FrL from Ht, showing that Ht explains a larger proportion of the variability in FrL in males compared to females. These findings suggest that FrL can be used as a predictor of Ht, particularly in males, but caution is advised when applying this relationship to females. These results have implications for growth assessment and nutritional status evaluation in clinical practice, especially in populations, where direct measurement of Ht may be challenging. Conclusion: The study provides insights into the relationship between FrL and Ht, with implications for Ht estimation and growth assessment in clinical practice. Further research is needed to validate these findings in larger populations.

Correlation of Elbow Carrying Angle with Height and Forearm Length among Bangladeshi Adolescent

Correlation of Elbow Carrying Angle with Height and Forearm Length among Bangladeshi Adolescent

Island area and diet predict diversity and distribution of bats in a Pacific Northwest archipelago

Abstract The island biogeography theory predicts that species richness in islands and island-like systems is the ultimate result of island isolation and area. Species with high dispersal capabilities are predicted to be less affected by these factors because of their capacity to move more efficiently between islands or habitats, and here we test this idea in bats, the only mammals capable of flight. We conducted mist net and acoustic surveys across 21 islands in the San Juan Archipelago (Washington State, United States) and adjacent northwest mainland to: (i) investigate the effects of island area, distance from mainland, and habitat on bat diversity; and (ii) evaluate whether differences in morphological (body mass, forearm length, wing loading) and ecological (dietary niche breadth, foraging guild) traits among species influence their prevalence across islands. We found that island size strongly influenced patterns of species richness, with larger islands having a greater number of bat species. However, neither island distance from mainland nor any measure of habitat availability was a significant predictor of species richness at the scale of this study. Additionally, we found that dietary niche breadth, as opposed to any morphological trait, best predicted the prevalence of species across the islands. Our results suggest that species with more specialized diets may be more vulnerable to habitat fragmentation, and provide insight into how geographic and ecological factors affect the diversity of insular bat communities, adding to growing knowledge about the role of species traits as mediators of their responses to large-scale landscape structure.

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.

Perfil antropométrico y velocidad máxima de servicio en tenistas varones de un centro deportivo medico peruano

Objective: To evaluate the relationship between anthropometric prole and serve speed in male Peruvian tennis players. Methods:A quantitative, observational, cross-sectional, and analytical study was conducted with 79 male tennis players from the FiXU sports medical center in Lima, Peru, during 2023 and 2024. Variables such as height, weight, BMI, and limb dimensions were measured. Serve speed was assessed using a calibrated speed gun. Results: The average serve speed was 94.38 km/h (±9.98). The average height of the players was 174.61 cm (±4.17) and the average weight was 72.20 kg (±6.97). Height (r=0.796) and weight (r=0.533) showed signicant correlations with serve speed. Weekly playing hours (r=0.611) and years of experience (r=0.435) also showed positive associations. Linear regression identied height (B=1.91, p<0.001), weight (B=0.76, p<0.001), and forearm length (B=6.00, p<0.001) as signicant predictors of serve speed. Conclusion: Height and weight are signicant predictors of serve speed in Peruvian tennis players. Limb measurements and years of experience positively inuence serve speed, while BMI showed no signicant correlation.

Comparison of Regression Analysis and Mathematical Methods for Stature Estimation from the Upper Limb Measurements of the Modern South Indian Population

This study aimed to establish reliable mathematical and regression analysis (RA) methods for estimating stature using upper limb (UL) anthropometric parameters in the modern South Indian (MSI) population. This study was conducted on a sample size (117 men and 97 women) from the MSI population. Dead bodies within 3 hours of death were included in this study, as the study outcome is meant to apply to the dead and dismembered UL parts. Mathematical and linear RA methods were used to derive multiplication factors (MFs) and regression equations (REs) for the estimation of stature from UL measurements (arm length [AL], forearm length, palm length, and middle finger length [MFL]) and assess their prediction accuracy. A statistically significant correlation was found between UL measurements and stature, indicating their potential use for stature estimation. Both genders showed a statistically significant positive relationship between UL measurements and stature. Both MF and RA methods exhibited reasonable goodness of fit, albeit the RA method yielded a closer estimate of the actual stature than the former. The derived RE showed reasonable goodness of fit and precision in both genders, as evidenced by high R2 values and low standard errors. The RA and MF methods slightly over- and under-estimated the actual stature, respectively. The MFL and AL showed the strongest and weakest relationship with the stature. Both methods have practical significance though the precision is higher with RA methods. The MF method is simpler, as it is independent of statistical resources, while the RA method may be more useful in cases where there is a large amount of variation in the data. The outcome of this study has significant implications for the forensic and anthropology fields. The derived RE and MF provide a reliable framework for estimating stature from anthropometric measurements of dismembered UL remnants. This information can be valuable in forensic investigations, unidentified remains cases and archaeological studies.

Weight as an indicator of enclosure suitability in Livingstone's fruit bats (Pteropus livingstonii).

Obesity is common in zoo animals, and both dietary management and the provision of adequate opportunities for exercise are needed to tackle it. We used 30 years of records from Jersey Zoo to compare the weight and forearm length of wild and captive-born Livingstone's fruit bats (Pteropus livingstonii), and to assess the impact on weight of enclosure space. The mean capture weight of wild-caught male Livingstone's bats was 657 g, significantly higher than that of females (544 g). In both wild and captive-born bats, males had significantly longer forearms than females, but there was no effect of birth location. Males weighed more in the mating season than at other times of year. Both sexes gained more weight during development if born in enclosures that restricted flight rather than a large aviary; this was particularly noticeable in females. After reaching maturity at 3 years, weights of bats born in restricted enclosures continued to increase, reached a peak of over 1000 g at 8-10 years, and then declined in both sexes. The weight of bats born in the aviary remained more stable after the age of three. Like wild bats, adult females born in the aviary weighed less than males. However, females born in restricted enclosures weighed more than males born in the same enclosures. Enclosure designs that maximize opportunities for flight can limit excessive weight gain in captive fruit bats and may therefore improve fitness and health, essential in planning for future reintroduction programs.

Race and geography impact validity of maximum allowable standing height equations for para-athletes

World Athletics use maximum allowable standing height (MASH) equations for para-athletes with bilateral lower extremity amputations to estimate stature and limit prosthesis length since longer prostheses can provide running performance advantages. The equations were developed using a white Spanish population; however, validation for other races and geographical groups is limited. This study aimed to determine the validity of the MASH equations for Black and white Americans and whether bias errors between calculated and measured stature were similar between these populations. Sitting height, thigh length, upper arm length, forearm length, and arm span of 1899 male and 1127 female Black and white Americans from the Anthropometric Survey of US Army Personnel database were input into the 6 sex-specific MASH equations to enable comparisons of calculated and measured statures within and between Black and white groups. Two of 12 MASH equations validly calculated stature for Black Americans and 3 of 12 equations were valid for white Americans. Bias errors indicated greater underestimation or lesser overestimation of calculated statures in 10 equations for Black compared to white Americans and in 2 equations for white compared to Black Americans. This study illustrates that race and geography impact the validity of MASH equations.

Body surface scan anthropometrics are associated with grip strength in the general population

Background and aimBody shape and anthropometrics are well-known risk factors for cardiovascular diseases (CVD) and mortality. Hand-grip strength (HGS) is also a meaningful marker of health and a promising predictor of CVD and mortality. There is a lack of studies that have systematically investigated associations between body shape and anthropometrics with HGS. In a population-based study, we investigated if anthropometric markers derived from 3D body scanning are related to HGS. Methods and resultsWe used the data of 1,599 individuals aged 36 to 93 years, who participated in the Study of Health in Pomerania. A total of 87 anthropometric markers, determined by a 3D body scanner, were included in the analysis. Anthropometric measurements were standardized and used as exposure variables. HGS was measured with a hand dynamometer and used as outcome. Sex-stratified linear regression models adjusted for age and height were used to relate standardized anthropometrics and HGS. Anthropometric markers were ranked according to -log-p-values.In men, left and right forearm circumference, left arm length to neck (C7), left forearm length, and forearm-fingertip length were most strongly related to HGS. In women, right forearm circumference, forearm-fingertip length, shoulder breadth, left forearm circumference, and right wrist circumference showed the most significant associations with HGS. The final prediction models contained 13 anthropometric markers in males (R2=0.54) and eight anthropometric markers in females (R2=0.37). ConclusionsThe identified parameters may help estimate HGS in the clinical setting. However, studies in clinical settings are essential to validating our findings.

Prediction Of Palmaris Longus Tendon Length And Thickness Through Simple Anthropometric Measurements.

This study aimed to test whether palmaris longus tendon (PLT) length and thickness can be predicted from simple anthropometric measurements. 120 healthy volunteers with bilateral PL muscles were enrolled in this prospective study. PLT length and thickness were measured by ultrasonographic examination. Anthropometric measurements included body height, weight, forearm length, and wrist circumference. Correlation, linear regression, and Bland-Altman plot were used for analysis. The mean PLT length and thickness were 10.8±1.4 cm and 4.0±0.9 mm, respectively. Body height and PLT length had a moderate positive correlation (r:0.407, p:0.001), and forearm length and PLT thickness had a weak positive correlation (r:0.229, p:0.001). The regression analysis showed that body height was the best predictor for PLT length, and forearm length was the best predictor for PLT thickness. The regression equations were as follows: PLT length=0.276+(0.062×height) (r2=0.165, p<0.001) and PLT thickness=1.373+(0.108×forearm length) (r2=0.052, p<0.001). The predicted PLT lengths and thicknesses were calculated using these regression formulas and compared with the actual thicknesses and lengths using the Bland-Altman plot. The upper and lower limits of agreement (95% CI) ranged from -2.54 cm to 2.51 cm for actual PLT length and predicted PLT length and from -1.76 mm to 1.74 mm for actual PLT thickness and predicted PLT thickness in the Bland-Altman plot with a weak agreement and proportional bias. These findings indicate that height and forearm length have limited accuracy in predicting PLT length and thickness. The preoperative ultrasonographic examination can provide valuable assistance, particularly in cases that require grafts with precise length and thickness requirements.

Molossusmelini Montani et al. 2021 (Chiroptera, Molossidae) in Brazil: new insights for distribuition, morphology and genetics.

The species M.melini has been observed in both the Pampa and Spinal ecoregions of Argentina. Researchers have underscored that distinguishing M.melini from other species within the same genus relies primarily on craniometric and molecular analyses. Morphological measurements alone do not offer a clear differentiation between M.melini and other members of this genus.This study aims to document the presence of M.melini within the Brazilian ecoregion, focusing on its morphological, morphometric and genetic characteristics. By undertaking a comprehensive examination, we seek to contribute valuable insights into the distribution and differentiation of M.melini in this region. Molossusmelini specimens exhibited a forearm length ranging from 39.9 to 40.08 mm. The average intraspecific divergence was 1.2%, with specimens from the Argentine Pampas clustering in the same clade with a 98% bootstrap support and a posterior probability of: Regarding dorsal colouration, the specimens displayed fur with two bands-a Snow White base colour and apex colours ranging from Olive Brown, Broccoli Brown, Wood Brown to Yellowish-Brown. This marks the first record of M.melini in Brazil, expanding its distribution 1,300 km northeastwards into the Curitiba, Paraná, Atlantic Forest Ecoregion. The findings contribute valuable information on the distribution, morphology, morphometrics and genetics of this species.

Sexual dichromatism in the fur of a bat: An exploration of color differences and potential signaling functions.

Sex differences in body color (i.e., sexual dichromatism) are rare in bats and, more broadly, in mammals. The eastern red bat (Lasiurus borealis) is a common tree-roosting bat that occupies much of North America and has long been described as sexually dichromatic. However, previous research on this species found that absolute body size and collection year were better predictors of fur color in preserved specimens than sex. We revisited this issue and photographed 82 live eastern red bats under standardized conditions, then used image analysis to quantify pelage hue, saturation, and value. We used an information theoretic approach to evaluate four competing hypotheses about the principal drivers of color differences in the fur of eastern red bats. Our analyses demonstrated that sex was a better predictor of pelage color than body size; males had redder, more saturated, and lighter pelages than females. Additionally, the fur color of juvenile versus adult bats differed somewhat, as juveniles were darker than adults. In general, absolute body size (i.e., forearm length in bats) was a poor predictor of color in live eastern red bats. In an exploratory post-hoc analysis, we confirm that fur color is related to body mass (i.e., a proxy for body condition in bats), suggesting color might serve as a sexually selected signal of mate quality in this partially diurnal species. Future work should investigate the functional role of sexual dichromatism in this species, which could be related to signaling or possibly thermoregulation.

Appropriate and Efficient Technology System Approach in Product Design to Reduce Musculoskeletal Disorders

The process of planting corn still uses the traditional method of using wood that is sharpened at the end while holding a bag containing corn seeds, the process of planting corn is carried out by bending the body continuously, this process is carried out minimum two workers. This process causes performance to be not optimal, besides that the work process will accelerate fatigue and cause many complaints, pain, and injuries. This study aims to measure anthropometric data of standing shoulder height, standing elbow height, forearm length, hand width, and hand grip diameter. The results of these measurements are then used to design products for these farmers. This measurement also includes a Nordic Body Map (NBM) questionnaire to determine of pain in the corn planting process. The subjects in this study were 30 people, after calculation and data processing, the right size for the product design is obtained which consists of a tool height of 140 cm, a handle height of 105 cm, a diameter of grip 5 cm, grip length of 9 cm, an operator distance with a tool of 45 cm, then the tool assembly process and testing process will be carried out.

Estimation of Stature among Healthcare Workers using Arm Span, Biacromial Breadth, and Forearm Length Dimensions: A Cross-sectional Study

Introduction: Stature is one of the most commonly used anthropometric dimensions for identification purposes in forensic investigations and for assessing the development and growth of individuals. It is well-known that various anatomical anthropometric parameters can accurately estimate stature. Aim: To estimate stature among healthcare workers in Himachal Pradesh using linear regression equations based on percutaneous anthropometric parameters of the upper limbs and trunk. Materials and Methods: This cross-sectional study was conducted on healthcare workers at Dr. Rajendra Prasad Government Medical College, Kangra, Tanda, Himachal Pradesh for a one year (September 2021-August 2022) duration. The study included 360 healthy healthcare workers from the Himachal Pradesh population, 180 females and 180 males, aged 21 years and above. Stature, arm span, Biacromial Breadth (BAB), and forearm length dimensions were measured for each subject. Statistical analysis was done using Microsoft Excel and Epi-Info version 7.1 software. The Pearson Correlation Coefficient was used to determine the correlation between stature and different anatomical anthropometric parameters. Linear regression equations were developed to estimate stature, with significance set at p-value ≤0.001. Results: The mean age of the study population was 41.33±28.91 years. The descriptive anthropometric parameters measured in the study were as follows: stature 162.4±6.85 and 149.4±7.15, arm span 165.67±7.5 and 150.31±8.33, right forearm length 26.68±1.33 and 24.36±1.59, left forearm length 26.47±1.30 and 24.30±1.55, BAB 34.11±2.16 and 31.74±2.32, respectively for males and females. Conclusion: The regression equations derived from this study can be valuable for estimating stature in situations where accurate stature measurements are not feasible.