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| ORIGINAL ARTICLE |
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| Year : 2013 | Volume
: 12
| Issue : 2 | Page : 42-49 |
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Nutritional evaluation using different anthropometric variables in Nigerian school children
AO Ibegbu, David E Tosin, WO Hamman, UE Umana, SA Musa
Department of Human Anatomy, Faculty of Medicine Ahmadu Bello University Zaria, Kaduna State, Nigeria
| Date of Web Publication | 27-Feb-2014 |
Correspondence Address:
A O Ibegbu
Department of Human Anatomy, Faculty of Medicine Ahmadu Bello University Zaria, Kaduna State
Nigeria
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/1596-2393.127952
The anthropometric characteristics of 600 apparently healthy children of ages between 5 and 10 years of Gbagyi tribe of Abuja Nigeria, consisting of males (n = 300) with a mean age of 7.10 1.98 and females (n = 300) with a mean age of 7.68 1.86 were selected for the evaluation of their nutritional status using different anthropometric variables. The anthropometric characteristic of their height, age, weight, mid-upper arm circumference (MUAC), chest circumference and body mass index (BMI) was measured and analysed statistically for any significant difference, and correlation between the parameters studied. The results show some significant differences (P ≤ 0.05) between the anthropometric parameters and a significant correlation (≤0.001) between the height and BMI, and other parameters in males and females. The study derived a linear regression and a multiple linear regression equations for Gbagyi children from which height, age, weight, MUAC, chest circumference and BMI could be predicted if one factor is known. The results from the present study provided an insight into the nutritional status of Nigerian school children of Gbagyi tribe of Abuja using the BMI and MUAC which showed if a child is malnourished, overweight or obese. The results from the present study show that there is a positive correlation between height and age, and other parameters indicating that height could be predicted using age, weight, BMI, chest circumference and MUAC, while BMI and mid upper arm circumference could be a useful tool in the estimation of nutritional status among Nigerian school children of Gbagyi tribe of Abuja. Keywords: Anthropometry, body mass index, Gbagyi tribe, mid-upper arm circumference, nutritional status, Nigeria
How to cite this article:
Ibegbu A O, Tosin DE, Hamman W O, Umana U E, Musa S A. Nutritional evaluation using different anthropometric variables in Nigerian school children. J Exp Clin Anat 2013;12:42-9 |
How to cite this URL:
Ibegbu A O, Tosin DE, Hamman W O, Umana U E, Musa S A. Nutritional evaluation using different anthropometric variables in Nigerian school children. J Exp Clin Anat [serial online] 2013 [cited 2021 May 8];12:42-9. Available from: https://www.jecajournal.org/text.asp?2013/12/2/42/127952 |
| Introduction | |  |
Estimation of the body size such as height and weight are required for assessment of growth, nutritional status, calculating body surface area and predicting pulmonary function of children (Gauld et al., 2004). Measurement of height is important for the determination of basic energy requirement, standardisation and measures of physical capacity and for adjusting drug dosage (Jalzem and Gledhill, 1993).
However in some situations the exact height cannot be determined directly because the patients are unable to stand as a result of neuromuscular weakness, deformities of axial skeleton such as kyphosis, lordosis, scoliosis, lost of lower limbs or in patients who have undergone amputations. In such patients, height does not reflect the body size and the use of height measurements in prediction equation is likely to produce error. For example in scoliosis patients, the predicted spirometric values were underestimated when the measured body was used; under such circumstances, an estimate of height has to be computed based on other body parameters (Mitchell and Lipschitz, 1982; Hauser et al., 2005). Stature provides insight into various features of a population, including nutritional health and genetics. Stature is considered as one of the parameters for personal identification (Krishan and Sharma, 2007).
Protein Energy Malnutrition (PEM) is the most widespread form of malnutrition in the world today affecting over 500 million children (WHO, 1990). PEM and obesity are hazardous to health with high morbidity and mortality rates and the assessment of body composition and proportions are essential to prevent, diagnose and determine the severity of these disorders as well as their response to therapy (Tanphachitr and Leelahagul, 1995).
Body mass index (BMI) is a number calculated from a child's weight and height, and is a reliable indicator of body fatness and nutritional status for most children and teens (Orden et al., 2013). It has been shown that BMI and its derivatives namely weight and height are proxy indicators for the estimation of nutritional status in both children and adults (Petterson et al., 2000). Mid upper arm circumference (MUAC) is a rapid method of assessing nutritional status, without requiring extensive training, supervision, or materials (Goossens et al., 2012). With simple colour-coding and on-the-spot interpretation, MUAC is relatively easy to use and simple to understand for both community health workers and children's caretakers. Studies have shown that even for minimally trained health workers, intra- and inter-observer reliability of MUAC measurements are at least as good if not superior to other anthropometric indices and can offer considerable cost advantages as MUAC tapes are less expensive than height boards (Goossens et al., 2012). In therapeutic feeding programs, MUAC shows advantages over weight-for-height and is recommended by the World Health Organization (WHO) as an independent criterion for screening children using MUAC value from ≤ 115-118 mm as sole admission criteria for severe acute malnutrition (Velzeboer et al., 1983; Dale et al., 2013).
Intact long limb bones have been used in the derivation of regression equations for stature assessment in different population groups (Petterson et al., 2000). Anthropologists have observed and compared the relationship between the body, segments and nutritional status to highlight variations between groups, races and sexual dimorphism (Hauser et al., 2005; Krishan and Sharma, 2007). The determination of nutritional status and stature is a major area of interest in forensic medicine, forensic anthropology and biological anthropology as it is useful in the area of medico-legal identification and hospital admission (Hauser et al., 2005). The bone area values at different sites strongly relate to muscle strength and parameters related to body size: height, weight, lean mass, fat mass and BMI (Petterson et al., 2000). It is commonly accepted that standards for nutritional assessment and skeletal identification vary among different populations, tribes, and the standard for one population may not be used for another (Iscan and Steyn, 1997). The present study was aimed at determining the nutritional status of Children using different anthropometric measurements in Gbagyi tribe of Abuja Nigeria.
| Materials and Methods | | |
The study was carried out from three different Local Authority Primary Schools, namely Byazhin, Aziyapi, Kubwa II all in Bwari Local Government Area of Abuja-Nigeria, belonging to the Gbagyi ethnic group in June 2011. The sample consists of 300 males and 300 females with each school having 100 males and 100 females with no known physical deformities between the ages of 5 and 10 years and of Gbagyi tribe from both parents and grandparents within Abuja Area of Nigeria.
Ethical approval was obtained from the Ahmadu Bello University Ethical Committee and Informed consent was obtained from the Schools involved and the parents of the children used for the study after explaining the rudiments of the research to them. The parents of the children were assured of confidentiality in the study and that the children can withdraw from the study at any time in the study if they so wish.
The demographic data collected from the subjects include age in years, name, place of birth, parental and grandparental origin was completed in a questionnaire. Standing height, weight and mid-upper arm circumfluence (MUAC) measurements were taken. Standing height was measured to the nearest centimetres (cm) using a Stadiometer with subject standing erect on a horizontal resting plane bare footed having the palms of the hands facing forward and the finger pointing downward. The height was measured with each subject's head in the Frankfort plane. The measurements were taken from the sole of the feet to the vertex of the head as recommended by International Biological Program (Weine et al., 1969).
The weights of the subjects were taken using the weighing balance to the nearest kg according to the standard procedures (Whitney et al., 1998). BMI was then calculated by dividing weight by converted height in meters squared (Marks et al., 1985). BMI is a number calculated from a child's weight and height, and is a reliable indicator of nutritional status and body fatness for most children and teens. The MUAC was measured to the nearest cm using a calibrated non-stretch tape with the left arm hanging relaxed (Taylor et al., 1996) and was taken midway between the tip of acromion and olecranon process as described by Amirsheybani et al. (2001). Nutritional evaluation was done using PEM assessment in each child with the UNICEF Brasilia arm circumference strip (1989) which has an age-specific cut-off for malnutrition. The International cut-off points for BMI for overweight and obesity used for the present study of ages between 5 and 10 years was calculated according to Cole et al. (2000). Chest circumfluence was measured with tape to the nearest cm from the level of the middle of the sternum, at the highest point of the thoracic cage with the tape passing under the arms with the arms relaxed by the side, and the measurement was taken at the end of a normal expiration (Vincent et al., 2012).
The measurements and readings from each subject were taken twice and recorded and if the two measurements and readings for each parameter agreed within 0.4 ranges the average was taken as the best estimate for the true value. When the two initial measures did not satisfy the 0.4 range criteria, two additional measurements and readings were made and the mean of the closest records was used as the best estimate (Reeves, 1996).
Statistical Analysis
Data was expressed as mean ± standard deviation (±SD). Pearson's correlation analysis was used to determine the strength of the relationship between the parameters studied. Students' T-test was used to test the significant levels between the body proportions studied both in males and females. Differences were declared significant when a P value is less than 0.05 (P ≤ 0.05) and correlation exist when P ≤ 0.001. To investigate the utility of weight, age, BMI and height in nutritional estimation, linear and multiple linear regression analysis were used.
| Results | | |
The results from the present study show the mean ± SD of height, age, weight, BMI and MUAC in male and female children are as shown in [Table 1]. The result showed a significant difference (P ≤ 0.05) between the male and female Nigerian school children in the age and weight but there was no significant difference (P ≤ 0.05) in the height between the male and female Nigerian school children of Gbagyi tribe of Abuja. | Table 1: Anthropometric measurements in both male and female school children
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The result showed the mean and standard deviation of the anthropometric characteristics of height, age, weight, BMI and MUAC according to age groups in male children as shown in [Table 2]. The results in [Table 3] show the mean and standard deviation of the anthropometric characteristics of height, age, weight, BMI and MUAC according to age groups in female Children. The results show that height, weight and BMI were significantly increased with age in Gbagyi school children of Nigeria in both males and females (P ≤ 0.05). The results show that there was a proportional relationship between age and the parameters studied and an age-dependent increase in height and an age-dependent significant increase in weight and BMI in males (P ≤ 0.05) except for BMI in which there was a decrease in ages 8 and 9 years which was not statistically significant. The females show an age-dependent significant increase in height, weight and BMI, except for the age 9 years in which BMI was not significantly decreased (P ≤ 0.05).
[Table 4] shows the level of significant between parameters studied in school children of Gbagyi tribe of Abuja Nigeria. P <0.001**shows a high correlation between the parameters and *shows low correlation between the parameters. | Table 2: Anthropometric parameters according to the age groups in male children
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 | Table 3: Anthropometric parameters used according to age groups in female children
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The result in [Table 4] shows the correlation matrix of the anthropometric parameters studied. The result shows a two-tailed correlation (P ≤ 0.001) between height and age (r = 0.820; 0.738), weight (r = 0.827; 0.805) and BMI (r = 0.164; 0.030) in males and females, respectively. There was a two-tailed correlation (P ≤ 0.001) between height and age (r = 0.778), weight (r = 0.705) and BMI (r = 0.894) in both male and female Nigerian school children of Gbagyi tribe of Abuja. | Table 4: Correlation matrix of the anthropometric parameters used among Nigeria school children of Gbagyi tribe
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The results in [Table 5] show linear regression of height (m) from age (years), weight (kg) and BMI (kg/m2) of the male and female Nigerian school children of Gbagyi tribe of Abuja. The table show the standard error of estimate (SEE) not more than 0.099 m and 0.091 m for the prediction of height in males and females respectively, and for the total not more than 0.095 m. The linear regression equation for estimation of height from age (years), weight and BMI shows that there was a positive correlation (P ≤ 0.001) between the gender and other parameters studied. | Table 5: Linear regression of height (m) in male (n = 300) and female (n = 300) from the parameters used among the school children of Gbagyi tribe of Abuja
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The result in [Table 6] shows the multiple regression equation for estimation of height from age (years), weight, chest circumference, MUAC and BMI. The multiple linear regressions show a positive correlation (P < 0.001) of height with the other parameters used, but regression equation for estimation of height from BMI and chest circumference shows that there is no positive correlation of BMI with height (P < 0.001) in Nigerian children of Gbagyi tribe of Abuja. | Table 6: Multiple linear regression of height (m) from the dimensions used in male and female children of Gbagyi tribe of Abuja
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The result from the present study show that some male and female Nigerian school children of Gbagyi tribe of Abuja have PEM which was assessed in each child using the UNICEF Brasilia arm circumference strip (1989), which have age-specific cut-off points for defining malnutrition. The MUAC value of a well-nourished child is above 13.5 cm, between 12 and 13.5 cm indicates malnutrition and below 12 indicates severe malnutrition according to WHO (1995). The results from the present study show that one male child (5 years) of the 300 males (0.33%) has PEM with MUAC value of 13 cm, and also one female child (6 years) of the 300 females (0.33%) has PEM with MUAC value of 13 cm as shown in [Table 7]. A MUAC value above 13.5 cm is normal for children from ages 2 to 5 years of age (WHO, 1995). This shows that PEM was uncommon in Gbagyi school children of Abuja. | Table 7: The use of mid-upper arm circumference to determine the nutritional status among school children of Gbagyi tribe of Abuja-Nigeria
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The BMI for overweight and obesity by sex between age 2 and 18 years is shown in [Table 8]. The results from the present study found that 28 (9.33%) male Nigerian school children of Gbagyi tribe of Abuja were overweight and 6 (2%) were obese, while 38 (12.67%) female Nigerian school children of Gbagyi tribe of Abuja were overweight and 6 (2%) were obese as shown in [Table 9] based on BMI guidelines (Cole et al., 2000) for defining obesity and overweight in children. | Table 8: The International cut-off points for body mass index for overweight and obesity used for the present study of age between 5 and 10 years
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 | Table 9: Age-specific distribution of underweight and obese school children of Gbagyi tribe of Abuja based on BMI (kg/m²) sample of 300 male and 300 female children
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| Discussion | | |
The result of the present study showed that the dimension of height, age, weight, MUAC, chest circumference and BMI can successfully be used for the estimation of nutritional status and height in Nigerian school children of Gbagyi tribe. The parameters named above showed significant correlation with nutritional status and height in both male and female Nigerian school children of Gbagyi tribe of Abuja; hence these can be used by law enforcement agents and forensic scientists to identify fragmentary and dismembered human remains in Gbagyi school children of Abuja, since it is an established fact that long bones are the most appropriate specimen for height evaluation (Krogman and Iscan, 1986). It has been shown in this study that there is a two-tailed significant correlation between BMI and height, and also with other parameters: age, weight, MUAC, chest circumference, and nutritional status in both male and female Nigerian school children of Gbagyi tribe of Abuja.
The use of anthropometric methods have been shown to be very useful in the estimation of nutritional status in children and in athletes in which the bone area values at different sites of the body are strongly related to muscle strength and parameters related to body size such as height, weight, lean mass, fat mass and BMI (Ruff, 2000; Pettersson et al. 2000). Thus morphometric estimation of body mass from skeletal frame size appears to work reasonably well in both normal and highly athletic modern humans (Ruff, 2000; Pettersson et al., 2000). The present study shows that weight could be correlated with height and weight could be correlated with BMI which can be correlated with the nutritional status in Nigerian Children of Gbagyi tribe of Abuja as shown from the present study. This shows that the more the height, the lower the BMI then the higher the nutritional status and athletic performance (Ruff, 2000; Pettersson et al. 2000). Estimation of the nutritional status using various physical measurements has been attempted by many researchers but the variables that proved to be consistently reliable in estimating nutritional status are the MUAC and BMI (Kanchan et al., 2010). The results from the present study show that MUAC, BMI and age can be used to predict nutritional status, together with weight, chest circumference and height. From the present study, the parameters used to determine height can also be used to determine nutritional status because there was a two-tailed significant correlation between nutritional status and age, weight, height, chest circumference, MUAC and BMI in both male and female Nigerian school children of Gbagyi tribe of Abuja.
This study was designed to establish a relationship between the nutritional status, BMI and MUAC in Gbagyi primary school children aged between 5 and 10 years. The present study tried to derive regression equations which could help in the prediction of nutritional status in Nigerian school children of Gbagyi tribe of Abuja. The equation for the estimation of nutritional status from height, BMI and MUAC measurements of Nigerian school children of Gbagyi tribe of Abuja differs from those presented by Bhartnagar (1984), who carried out studies among the Punja male children with higher measurement values resulting in differences in the equation and invariably differences in the estimation of nutritional status. These differences could be due to the differences in the average values of the parameters studied. The differences could also be due to the different methods and parameters used in the present study.
MUAC is a measure of both energy deficiency in adult and children, and is a useful index of the efficacy of the nutritional therapy in PEM and obesity. The measurement of MUAC can be regarded as a screening method for underweight, normally assessed from BMI to identify the preferential loss of peripheral tissue stores of fat and protein (Ferro-Luzzi et al., 1996). BMI and MUAC are sometimes used in conjunction to classify adult nutritional status (James et al., 1994). A MUAC value < 18.5 cm may be indicative of acute under nutrition and MUAC value of 16.0 cm indicates severe nutrition (James et al.,1994). The results from the present study show that one male child of 300 males has PEM with MUAC value of 13 cm, and also one female child of 300 females has PEM with MUAC value of 13 cm. A MUAC value above 13.5 cm is normal for children from ages 2 to 5 years (WHO, 1995). This shows that PEM was uncommon in Nigerian school children of Gbagyi tribe of Abuja. The MUAC value of a well-nourished child is above 13.5 cm, between 12 and 13.5 cm indicates malnutrition and below 12 indicates more severe malnutrition (WHO, 1995).
BMI has been accepted as index of obesity or adiposity in adults (Garrow and Webster, 1985) while the usefulness of BMI for defining children is not clear hitherto. When an accurate determination of standing height cannot be obtained, weight could be used interchangeably in determining the nutritional status (Torres et al., 2003). The BMI value > 25 kg/m2 indicates overweight and between 18.5 and 25.00 kg/m2 indicates normal weight for healthy limit (WHO, 1990). Most studies show increased mortality in the leanest as well as the most obese individuals (Rissanen, et al. 1989; Goldstein, 1992). Cole et al. (2000) reported age-specific BMI standards or defining obesity and overweighed in children. The present study found that 28 male school children of Gbagyi tribe of Abuja were overweight and 6 were obese children, while 38 female school children of Gbagyi tribe of Abuja were overweight and 6 were obese children based on the WHO BMI guidelines (Cole et al., 2000) for defining obesity and overweight in children.[62]
| Conclusion | | |
The results from the present study indicated that MUAC and BMI are proxy indicators for nutritional status when it is difficult to measure height directly, and also other variables stand as indicators for predicting nutritional status. Also the present study was able to establish the nutritional status of children in the study area showing that few children are malnourished (male: 0.33%; female: 0.33%), overweight (male: 9.33%; female: 12.67%) and obese (male: 2%; female: 2%) among Nigerian school children of Gbagyi tribe of Abuja. Thus height, weight, MUAC and BMI may be reliable indicators of nutritional status able to replace the more complicated anthropometric indices, based on their simplicity and predictive value to easily screen large numbers of children. This study was able to identify nourished, malnourished, overweight and obese children in school children of Gbagyi tribe of Abuja Nigeria and if applied earlier, the children can be treated easily and effectively.
| References | | |
| 1. | Amirsheybani HR, Crecelius GM, Timothy NH, Pfeiffer M, Saggers GC, Manders EK (2001). The natural history of growth of hand. Part II: Hand length as a treatment guide in paediatric trauma patients. J Trauma 49:457-60. 
|
| 2. | Amirsheybani HR, Crecelius GM, Timothy NH, Pfeiffer M, Saggers GC, Manders EK (2000). The natural history of growth of hand. Part I: Hand area as a percentage of body surface area. Plast Reconstr Surg107 (3):726-33.
|
| 3. | Anitie H. (2007). Worldwide variation in human growth. Cambridge University Press, Cambridge. 4:67-8.
|
| 4. | Auerbach BM, Ruff, CB (2004). Human body mass estimation: A comparison of Morphometric and mechanical methods. Am J Phys Anthropol 125:331-42.
|
| 5. | Begum E. (1999). Estimation of stature from hand measurements in Assamese Muslims, Bulletin of department of Anthropology University Guwahati Assam.
|
| 6. | Bhatnagar D, Thapar S, British M (1984). Identification of personal height from the somatometry of the hands in Punjabi males. Forensic Sci Int 24:137-41.
|
| 7. | Bidmos MA (2006). A stature reconstruction from the calcaneus of south Africans of European descent. J Clin Foreensic Med 13:247-52.
|
| 8. | Bidmos MA (2009). Fragmentary femora: Evaluation of accuracy of direct and indirect methods in stature reconstruction. Forensic Sci Int 192 (1-3):131.e1-5.
|
| 9. | Boldsen J (1984). A statistical evaluation of the basis for predicting stature from lengths of long bones in European populations. Am J Phys Anthropol 65:305-11.
|
| 10. | Chatterjee S, Das N, Chatterjee P (1999). The estimation of the heritability of anthropometric measurements. J Appl Hum Sci 8:1-7.
|
| 11. | Cole TJ, Bellizzi MC, Flegal KM, Dietz WH (2000). Establishing a standard definition for child overweight and obesity Worldwide: International survey. BMJ 320 (724):1240-3.
|
| 12. | Dale NM, Myatt M, Prudhon C, Briend A (2013). Using mid-upper arm circumference to end treatment of severe acute malnutrition leads to higher weight gains in the most malnourished children. PLoS One 8 (2):e55404.
|
| 13. | De Mendonca MC (2000). Estimation of height from lengths of long bones in a Portuguese adult population. Am J Phys Anthropol 112:39-48.
|
| 14. | Durnin JV, Rahaman MM (1967). The assessment of the amount of fat in the human body from measurement of skinfold thickness. Br J Nutr 4(1):23-4.
|
| 15. | Duyar I, Pelin C (2003). Body height estimation based on tibia length in different stature groups. Am J. Phys Anthropol 122:23-7.
|
| 16. | Duyar I, Pelin C, Zagyapan R (2006). A new method of stature estimation for forensic anthropological application. Anthropol Sci Intern 114:23-7.
|
| 17. | Ebite MN, Guachi ST, Frisher KR (2000). Predicting stature through hand length. J Crime Criminalistic 52:23-7.
|
| 18. | Eveleth P, Tanner JM (1990). Worldwide variation in human growth, Cambridge University Press, Cambridge, p. 157.
|
| 19. | Ferrozo-Luzzi A, James WP (1996). Adult malnutrition: Simple techniques for use in emergencies. Br J Nutr 75(1):3-10.
|
| 20. | Fessler D.M., Haley K.J., Lai R.D. (2005). Sexual dimorphism in hand length proportionate to stature. Ann Hum Biol 32(1):44-59.
|
| 21. | Forbes GB (1998). Body composition, influence of nutrition, disease, growth and ageing. In: Shills ME, Young VR, editors. Modern Nutrition in Health and Disease. Lea and Febiger, Philadephia. p. 533-56.
|
| 22. | Gasser T, Kneip A, Binding A, Prader A, Molinari L (1991). The dynamics of linear growth in distance, velocity and acceleration. Ann Hum Biol 18:187-205.
|
| 23. | Gauld RF, Rakhir SM (2OO4). The nutritional status of disabled children: A cross-sectional survey. Eur J Clin Nutr 53(12):915-9.
|
| 24. | Gauld RF, Rakhir SM (1996). The prediction of stature from hand length. J. Crime Criminalistic 8:79-81.
|
| 25. | Gonzales GF, Valera J, Rodriguez L, Vega A, Guerra-Garcia R (1984). Secular change in growth of native children and adolescents at high altitude Huancayo, Peru (3.280 metres). Am J Phys Anthropol 64:47-51.
|
| 26. | Goossens S, Bekele Y, Yun O, Harczi G, Ouannes M, Shepherd S (2012). Mid-upper arm circumference based nutrition programming: Evidence for a new approach in regions with high burden of acute malnutrition. PLoS One 7(11):e49320.
|
| 27. | Hauser R, Smolinski J, Gos T (2005). The estimation of stature on the basis of measurements of femur. Forensic Sci Int 147:181-4.
|
| 28. | Iscan MY (1998). Rise of forensic anthropology. Year Book-Phys Anthropol 31:203-30.
|
| 29. | Iscan MY (2001). Editorial: Global Forensic anthropology in the 21 st century. Forensic Sci Int 117:1-6.
|
| 30. | James WP, Maseie-Taylor CG, Morgan NS, Bistrian BR, Shelly P.S., Ferro-Luzzi A (1994). The value of MUAC in assessing chronic energy deficiency in Third World adults. Eur J Clin Nutr 48:883-94.
|
| 31. | Jarzem PF, Gledhill RB (1993). Predicting height from arm measurement. J Paediatr Orthop 13(6):761-5.
|
| 32. | Kanchan T, Krishan K, Sharma A, Menezes RG (2010). A study of correlation of hand and foot dimensions for personal identification in mass disasters. Forensic Sci Int 199:112-6.
|
| 33. | Kartzmarzk PT, Leonard WR (1998). Climatic influences on body sizes and proportions: Ecological adaptations and secular trends. Am J Phys Anthropol 106:483-503.
|
| 34. | Krishan K, Sharma A (2007). Estimation of stature from dimension of hands and feet in North Indian Population. J Forensic Leg Med 14:327-32.
|
| 35. | Krogman WM, Iscan MY (1986). The human skeleton in forensic medicine, In: Thomas CC, editor, Springfield Publishers. p.156-62.
|
| 36. | Lundy JK, Feldesman MR (1987). Revised equations for estimating living stature from long bone of the South African Negro. S Afr J Forensic Sci 83:54-5.
|
| 37. | Marks GC, Habicht JP, Mueller WH (1985). Reliability, dependability and precision of anthropometric measurements: The second National Health and Nutrition Execution Survey, 1975-1980. Am J Epidemiol 30:57-87.
|
| 38. | Mauthausen K, Gusen YR (1959). Estimation of actual individual height during the exhumation of the remains of the former concentration camps. J Forensic Sci 3:533-7.
|
| 39. | Menezes B, Khany M (1998). Estimation of stature from length of sternum in South Indian males. Forensic Sci Int 125:141-8.
|
| 40. | Mitchell CO, Lipchitz DA (1982). Arm length measurement as an alternative to height in nutritional assessment of the elderly. JPEN J Parenter Enteral Nutr 6:226-9.
|
| 41. | Munoz JI, Luiares-Iglesias MJ, Suarez-Penaranda JM, Mayo M, Miguens X, Roriquez-Calvo MS (2000). Stature estimation from radiographically determined long bone length in a spanish population sample. J Forensic Sci 46:363-6.
|
| 42. | Norgan NG, (1990). Body mass index and body energy stores in developing Countries. Eur J Clin Nutr 44:79-84.
|
| 43. | Orden AB, Bucci PJ, Petrone S (2013). Trends in weight, height, BMI and obesity in school children from Santa Rosa (Argentina), 1990-2005/07. Ann Hum Biol 40(4):348-54.
|
| 44. | Ozaslan A, Iscan MY, Ozaslan I, Tugcuh H, Koc S (2003). Estimation of stature from body parts. Forensic Sci Int 132:40-5.
|
| 45. | Padez C (2002). Stature and stature distribution in Portuguese male Adults 1904-1998: The role of environmental factors. Am J Hum Biol 14:39-49.
|
| 46. | Palomino H, Mueller WH, Schull WJ (1978). Altitude heredity and body proportions in Northern Chile. Am J Phys Anthropol 50:39-50.
|
| 47. | Pelin C, Duyar I, Kayahan EM, Zagyapan R, Agidere AM, Erar A (2005). Body weight estimation based on dimensions of sacral and coccygeal vertebrae. J Forensic Sci 50:294-7.
|
| 48. | Pettersson U, Nordström P, Alfredson H, Henriksson-Larsén K, Lorentzon R (2000). Effect of high impact activity on bone mass and size in adolescent females: A comparative study between two different types of sports. Calcif Tissue Int 67(3):207-14.
|
| 49. | Reeves SL, Varakamin C, Henry CJ (1996). The relationship between limb measurement and height with special reference to gender and ethnicity. Eur J Clin Nutr 50(6):398-400.
|
| 50. | Ruff CB (2000). Body mass prediction from skeletal frame size in elite athletes. Am J Phys Anthropol 113(4):507-17.
|
| 51. | Sanna E, Soro MR (2000). Anthropometrical changes in urban Sardinian children ages 7 and 10 years between 1975-1976 and 1996. Am J Hum Biol 12:782-91.
|
| 52. | Seireg M (1989). Food and Nutrition survey. Managua, Nicaragua: UNICEF/PQAN.
|
| 53. | Steyn M, Iºcan MY (1997). Sex determination from the femur and tibia in South African whites. Forensic Sci Int 90(1-2):111-9.
|
| 54. | Strickland SS, Ulijaszek SJ (1993). Body mass index, ageing and different reported mortality in rural Sarawak. Eur J Clin Nutr 49:9-19.
|
| 55. | Tanner JM, Hayashi T, Preece MA, Cameron N (1982). Increase in length of limb relative to trunk in Japanese children and adults from 1975 to 1977: Comparison with British and Japanese Americans. Ann Hum Biol 9:411-23.
|
| 56. | Tanphaichitr V, Leehagul PC (1995). Need and opportunity in assessing body composition. Asia Pac J Clin Nutr 4(1):23-4.
|
| 57. | Weiner JS, Lourie JA (1969). Human Biology: A Guide to Field Methods, 4(9). Blackwell Publication, Oxford.
|
| 58. | Whiteney EN, Cataldo CB, Rolfes SR (1998). Understanding Normal and Clinical Nutrition. 5 th ed. In: Lewis P, editor. Wadsworth Publishing Company, California, USA. p. 1-961.
|
| 59. | WHO. (1990). Diet nutrition and prevention of chronic disease Report of a WHO Group Technical Report Series No 797, Geneva.
|
| 60. | WHO. (1995). Physical status: The use and interpretation of anthropometrics. Report of a WHO Expert Committee Technical Report Series No 854, Geneva.
|
| 61. | Velzeboer MI, Selwyn BJ, Sargent F, Pollitt E, Delgado H (1983). The use of arm circumference in simplified screening for acute malnutrition by minimally trained health workers. J Trop Pediatr 29:159-66.
|
| 62. | Lai V, Tsang WK, Chan WC, Yeung TW (2012). Diagnostic accuracy of mediastinal width measurement on postero anterior and antero posterior chest radiographs in the depiction of acute non traumatic thoracic aortic dissection. Emerg Radiol 19(4):309-15.
|
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8], [Table 9]
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