Reconstruction of femur length from its proximal fragments in a Bulgarian modern population

Timonov, Pavel; Fusova, Antoaneta

doi:10.1080/00450618.2016.1259431

Cited by 4 publications

(4 citation statements)

References 21 publications

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“…Garji Soni et al 14 7.96 7.34 Pavel Timonov et al 15 9.3 8.3 Kalpana R et al 16 8.3 7.4 Deepak S et al 10 7.9 7.3 Present Study 7.9 7.0…”

Section: Female (In Cm)mentioning

confidence: 78%

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2022

IJPSR

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Introduction: Femur is the key bone among the skeletal remains to determine sex for anatomists, anthropologists, and forensic experts. In the present study, we considered most of the parameters to determine sex from the femur. Methods: We studied eighty-four undamaged, intact femora of unknown sex. The present study were carried out in S. C. B. Medical College Cuttack from December 2019 to April 2020. The parameters, like maximum length, maximum breadth, head circumference, mid-shaft circumference, and vertical diameter femur head, were measured by a goniometer and verniers caliper. Results: From each femur above-mentioned parameters were recorded, and the details were obtained about the mean, Standard Deviation, percentage, and p-Value. Then these details were compared with the findings of other studies to conclude. Conclusion: These measurements show the values are higher in males than females and were statistically highly significant between males and females with a p-value <0.0001. INTRODUCTION:The determination of sex is almost accurate from the examination of the entire skeleton. It is expected to determine sex from isolated long bones or its fragments in the medicolegal purpose 1 . It is a challenge to determine sex from unidentified human skeletal remains for Anthropologists and Forensic investigators 2 . Skull and pelvis are the most reliable bones for sex determination 3, 4 . The femur is the human skeleton's largest, strongest, and heaviest bone 5, 6 . As it takes more time to decay than the other bones, it becomes a better specimen for the sex determination of a human being.

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“…Garji Soni et al 14 7.96 7.34 Pavel Timonov et al 15 9.3 8.3 Kalpana R et al 16 8.3 7.4 Deepak S et al 10 7.9 7.3 Present Study 7.9 7.0…”

Section: Female (In Cm)mentioning

confidence: 78%

“…Deepak S et al 10 13.66 12.28 Garji Soni et al 14 13.66 12.28 Pavel Timonovetal 15 15.62 13.81 Kalpana R et al 16 13…”

Section: Female (In Cm)mentioning

confidence: 99%

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2022

IJPSR

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“…By setting the option pairwise to TRUE, different pairwise combinations of samples can be compared using Tukey–Kramer (Dunnett, 1980: equation 1.3) multiple comparison intervals. Table 6 lists results based on the maximum diameter of the femoral head from Turkey (Gulhan, 2017: Tables 7–12 and 7–13), Bulgaria (Timonov et al, 2014: Tables 1 and 2), Greece (Kranioti et al, 2009: Table 1), and Portugal (Curate et al, 2017: Table 3). In this example, raw data were only available for the Turkish sample; we used reported summary statistics for all four samples.…”

Section: Resultsmentioning

confidence: 99%

TestDimorph: An R package for analysis of interpopulation sexual dimorphism differences using summary statistics

Abulnoor,

Attia,

Konigsberg

et al. 2023

American Journal of Biological Anthropology

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ObjectiveThe degree of sexual dimorphism in certain traits between males and females differ from one sample to another. Although trait differences by sex are often reported in bioanthropological research, few studies test for statistical significance or make raw data available. TestDimorph is the first R package dedicated to testing and comparing the degree of sexual dimorphism among different samples by leveraging summary statistics.Materials and MethodsWe provide two approaches of analysis of inter‐sample differences in degree of sexual dimorphism: univariate and multivariate for two or more samples. The methods follow upon publications primarily from the AJBA. Within‐sex size variability between samples is compared using one‐way ANOVA followed by control for multiple pairwise comparisons. In addition, we compute the overlapping area between the density functions of two normal distributions from the mixture intersection index or the non‐overlapping area using the dissimilarity index as well as Hedges' g with inferential support using the 95% confidence interval. Finally, we use a multivariate analysis of differences in patterning of sexual dimorphism between samples.ResultsWe demonstrate various results from applying TestDimorph functions to data supplied with the package.DiscussionThe package has many features including functionality for working with summary statistics, simulating data from summary statistics, and the extraction of summary statistics from raw data, so that the entire analysis can be performed through the package.

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“…[3] Identification of sex is also important in narrowing down the victim, allowing the exclusion of one-half of the population. This study defines the significance of teeth in sexual dimorphism for the following reason: the pelvic is by far the most precise structural indicator, especially the femur [4] , but may be fragmented; sexual characteristics in the bones of non-adults are not fully developed; DNA analysis can give precise results but it is expensive and time consuming. Numerous studies have found differences between male and female odontometric traits, but the extent of sexual dimorphism in dental size varies from population to population.…”

Section: Introductionmentioning

confidence: 99%

Application of odontometric dimensions of molars in sex assessment in Bulgarians

Harizanova¹,

Baltadjiev²,

Yordanova³

et al. 2022

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Introduction: Sex estimation is an important step in developing a biological profile. Teeth are one of the most durable physical elements in the human body and thus can be used very successfully for this purpose. The aim of the present study was to determine sex differences in odontometric dimensions of maxillary and mandibular molars in Bulgarians. Materials and methods: The study included 232 healthy subjects (121 males, 111 females) of Bulgarian origin in the age group of 20–40 years, with fully erupted, periodontal disease free, caries free, non-worn teeth. Vestibulolingual, mesiodistal and cervicoincisal (coronal height) dimensions of maxillary and mandibular molars were measured by Dentistry Sliding Vernier Caliper, Ridge Mapping Caliper Type A and Type B and analyzed with SPSS 23.0. The level of statistical significance was set at p<0.05. Results: Cervicoincisal dimensions in both maxillary and mandibular molars, except for the maxillary left second molars, were significantly higher in males compared to females. Similar statistically significant differences were found in mesiodistal dimensions in first molars from both jaws. Vestibulolingual dimensions in both maxillary and mandibular first molars and mandibular second molars were significantly higher in males compared to females as well. Conclusions: The results of our measurements exhibited statistically significant sex differences in both maxillary and mandibular molars in people of Bulgarian origin. In accordance with similar odontometric studies, molars may successfully differentiate both sexes and thus determine the need for further investigations in this field.

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Reconstruction of femur length from its proximal fragments in a Bulgarian modern population

Cited by 4 publications

References 21 publications

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TestDimorph: An R package for analysis of interpopulation sexual dimorphism differences using summary statistics

Application of odontometric dimensions of molars in sex assessment in Bulgarians

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