Background: The determination of living stature is a key component of personal identification of individuals. In this study, we developed predictive regression models and multiplication factors to reliably estimate living stature from foot length and breadth in adult Nigerian undergraduate students at the University of Lagos. Materials and methods: The study sample comprised 400 subjects (200 males and 200 females) of Nigerian parentage, aged 18-36 years who volunteered and satisfied the inclusion criteria. Following institutional approval, anthropometric measurements of stature, foot length, and foot breadth were taken with a stadiometer, a large sliding caliper and a small sliding vernier caliper respectively according to the protocol recommended by the International Society for the Advancement of Kinanthropometry (ISAK). The data was analyzed for descriptive and inferential statistics using the SPSS statistical package version 20. Results: Mean stature values of 176.44 ± 6.47 cm, 164.71 ± 6.70 cm, and 169.80 ± 8.79 cm were recorded for the males, females, and the pooled sample respectively. The mean values of the foot dimensions (right and left) in the males, females, and the pooled sample ranged from 9.49 ± 0.73 to 27.29 ± 1.30 cm. Independent t test exhibited statistically significant gender differences (P < 0.05) for all the parameters except age, with the males having consistently higher values than the females. Paired t test revealed the existence of bilateral asymmetry between right and left foot dimensions, except for the foot length in the males (P < 0.05). Significant positive correlation coefficients of stature with the foot length and breadth dimensions were found to range from 0.344 to 0.832 in the study. The multiplication factors computed for stature prediction from foot length and breadth ranged from 6.465 to 18.301 in the males, females, and the pooled sample. Conclusion: This study has demonstrated that stature can be predicted from foot dimensions, with the foot length showing more accuracy and reliability than the foot breadth. The prediction models established from this study will be very useful in disaster victim identification from mutilated human remains in Nigeria.
Anthropometric databases are essential in biological pro- This study presents a simple and reliable approach to predict stature, which may help forensic scientists in disaster victim identification and in medico-legal jurisprudence. has become necessary for regression formulae to be documented which will serve as reference points. Hence, the present study on stature reconstruction from percutaneous long bones of adult Nigerian medical students at the University of Lagos was carried out. Materials and Methods Ethical ApprovalIn order to carry out this study, ethical approval was Informed ConsentA signed informed consent was obtained from for all participants. First, the procedure for measurement, purpose for the research and possible personal benefits were explained to the participants through information contained in the official informed consent document. All participants received a guarantee of respect and preservation of their personal information, anonymity throughout the measurements and the right to withdraw, if so desired, at any stage for any reason. Study DesignThe present study sample comprises 230 (100 males and 130 females) undergraduate and post-graduate medi-
The prevalence of obesity is increasing in children and adolescents even in resource-poor countries. The study aimed to determine the prevalence of obesity in a group of Nigerian school children using triceps skin-fold thickness (SFT) and body mass index (BMI). The subjects were 1235 randomly selected primary and secondary Lagos school children aged 5-18 years, triceps SFT was measured with Harpenden® calipers and BMI calculated from weight and height. Using BMI, overweight and obesity were defined as values of 85th to 94th percentile for age and sex and ≥95th percentile, respectively. Using triceps SFT, obesity was defined as SFT > 85th percentile of the NHANES III study. Fifty-seven subjects (15 boys and 42 girls) had SFT > 85th percentile with a higher prevalence in girls than boys (6.4% vs. 2.6%, P = 0.001). The prevalence of BMI-defined overweight and obesity were also higher among girls (11.9% vs. 5.7%, P < 0.001 and 4.7% vs. 2.2%, P = 0.02, respectively). Females of upper socioeconomic class were more likely to be overweight (16.2% vs. 6.6%, P < 0.0001), obese (6.3% vs. 2.8%, P = 0.03) or have elevated SFT (8.2% vs. 4.2%, P = 0.03) than those of low socioeconomic status. Forty-seven of 57 subjects (82.5%) with elevated SFT also had high BMI. The prevalence of obesity is low in the study population but the much higher prevalence of overweight suggests that steps should be taken to control fatness before the figures worsen. In more than 80% of subjects, elevated SFT co-existed with elevated BMI.
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