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1.
Malaysian Journal of Nutrition ; : 155-159, 2017.
Article in English | WPRIM | ID: wpr-625560

ABSTRACT

This study aimed to establish an equation for stature prediction using knee height in the Iranian population. Methods: Anthropometric measurements of 320 (193 women and 127 men) healthy dormitory students of a medical sciences university were taken by a trained dietitian to minimise errors. Linear regression analysis was used to estimate stature with height as the dependent variable and knee height and age as independent variables. A control group (63 women and 67 men) was used for validation of prediction equations. Results: The developed regression equations for height estimation by using knee height in Iranian men and women were 62.913 + (2.077 × Knee height) and 76.362 + (1.76 × Knee height) respectively. There was no significant difference between estimated mean height derived from the present study equation and actual mean height in the control group. Conclusions: New stature prediction equations for both sexes using knee height are presented for the Iranian adult population, which may be different from those for other populations.

2.
Br J Med Med Res ; 2016; 14(12): 1-10
Article in English | IMSEAR | ID: sea-182929

ABSTRACT

Objective: To demonstrate that alternative measures are reliable predictors of height in children with spastic quadriplegic cerebral palsy (CP) and moderate/severe malnutrition and in healthy children. Methods: In an intervention study, thirteen patients with CP (10 females and 3 males, with an average age of 9 y 11 m±2 y 3 m) with Gross Motor Function Classification System level V and moderate/severe malnutrition were included. They were compared with 57 healthy participants (31 females and 26 males with an average age of 8 y 7 m±10 m). Weight, height and alternative measures to height were obtained. ANOVA, Student’s t test, the Mann-Whitney U test, the Wilcoxon test, and the Pearson correlation were used. Results: Significant differences were observed in weight, height and alternative measures between children with CP and healthy children (p < 0.001). In healthy children, knee height (KH) and lower-leg length (LLL) were similar to standing height. The correlation coefficients between height and alternative measures as well as correlations between the heights estimated by alternative measures were higher in children with CP than in healthy children. Conclusion: KH was the most appropriate measurement to estimate height in children with spastic quadriplegic CP and in healthy children. In the absence of a segmometer, height can be estimated by LLL in children with spastic quadriplegic CP and healthy children. The anthropometric indexes height/age and BMI were more appropriately obtained by the height estimated by KH or LLL.

3.
Article in English | IMSEAR | ID: sea-174881

ABSTRACT

Background: The body height measurement plays an important role in personal and medico legal identification and has become invaluable aid to scientific research in Anatomy, especially anthropological anthropometry. This study is conducted to find the correlation between body height and foot length & knee height measurements in both the sexes and to determine accurate and best predictor of height from above two parameters using Correlation Coefficient. Methods: Asymptomatic, healthy 1000 subjects (500 males and 500 females), residents of Teerthanker Mahaveer University of cosmopolitan origin age over 18 years old were studied. Their body height, Foot lengths and knee height were measured and all the readings were subjected to Statistical Analysis using mean + standard deviation, Pearson’s correlation coefficients and linear regression analyses. Result: In present study, correlation coefficients (r) values between body height, foot lengths and knee height were found to be statistically significant and positive in both males, females and in combined data, with highest ‘r’ value of knee height followed by foot lengths. Regression equations for estimating body height were developed for each of these parameters by Linear Regression. Conclusion: The study suggests the Knee height to be the best body height indicator developed for estimation of body height according to gender including age as a predictor variable in order to reduce the inherent problem of sample specificity and enhance accuracy confidence in the estimation.

4.
Epidemiology and Health ; : e2009004-2009.
Article in English | WPRIM | ID: wpr-721084

ABSTRACT

OBJECTIVES: This study aimed to establish a stature-predicted equation using knee height, and perform a clinical validation on a Korean population. METHODS: Using nationwide data obtained from 'Size Korea 2004', a stature-predicted equation was drawn and cross validation was performed using knee height in 5,063 subjects (2,532 males, 1,785 premenopausal females, and 746 postmenopausal females) who were aged between 20 and 69 yr. The formula was then applied to an elderly group (7 males and 26 females) and a mobility-impaired group (25 males and 14 females) in a real clinical setting. A stature-predicted equation was estimated using knee height and age based on multiple linear regression analysis. Cross validation was performed using paired t-test, and validation using clinical data was performed using Wilcoxon signed rank test. RESULTS: In three groups (males, premenopausal females, and postmenopausal females), a cross validation was performed for a stature-predicted equation which was drawn using knee height and age. There were no significant differences between recorded height and estimated height in the elderly group (mean difference+/-interquartile range (IQR): male 0.65+/-4.65 cm, female -0.10+/-3.65 cm) and the mobility-impaired group (mean difference+/-IQR: male -0.23+/-5.45 cm, female 1.64+/-5.36 cm). CONCLUSION: If several limitations could be overcome, the Korean-specific equations using knee height drawn from this study could be applied to actual clinical settings with Korean elderly or mobility-impaired people.


Subject(s)
Aged , Female , Humans , Male , Anthropometry , Knee , Korea , Linear Models
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