Gamiño SM, Cortés E, Caudillo CC

Language: Spanish
References: 18
Page: 11-15
PDF size: 325.70 Kb.

ABSTRACT

Anthropometric studies are essential tools in human morphological and functional assessment. World most frequently used methods are based on measurement of skinfolds and circumferences. Body mass index (BMI), waist to hip ratio (WHR) and % body fat (%BF) are drawn from the recorded data. BMI, WHR and %BF are indicative of individuals health and functionality. Data collection, storage and analysis from large populations are highly time and effort consuming. Error probability increases due to complexity of calculation procedures required, and to operators fatigue. Both, representing limiting steps to use in simple paradoxes. The present work describes the construction and utilization of an anthropometric data base for Spanish speaking users. We use a pre-computed architecture, to establish 1 to 1 biyective relations. In addition, dbANTHROP automatically calculates body fat using the Jackson & Pollock, for 3 and 7 skinfolds, and Slaugther, for 2 skinfolds, equations. It estimates free fat, free fat mass and ideal weight, BMI and WHR. It is provided with powerful filtration and report tools, to select data for individuals or age, gender, race and anthropometric characteristics groups. The program works on Windows Microsoft®, under a friendly to user philosophy.

REFERENCES

1. Aboul-Seoud, MA, Aboul-Seoud AL. Estimation of body fat from skinfold thickeness. Comput Methods Programs Biomed 2001; 65: 201-6.

2. Behforooz A, Sharma-Onkar P. An Introduction to Computer Science. A Estructures Problem Solving Approach. Chapter 2. Edit. Reston Book. New Jersey, 1986.

3. Botha WE, Brindger RS. Anthropometric variability, equipment usability and musculoskeletal pain in a group of nurses in the Western Cape. App. Ergonomics. 1998; 29(6); 481-90.

4. Caudillo-Cisneros C, Gamino SM, Sotelo F, Nicasio JJ. Neck, shoulder and back pain are related to scapular girdle clinical asymmetry in nurses. Med Sci Sports Exer 2001; 33: S130.

5. Ellis KJ. Human body composition: In vivo methods. Physiol Rev 2000; 80: 649-80.

6. Gamino SM, Sotelo F, Caudillo-Cisneros C, Nicasio JJ, Cortés E. Prevalence of musculoskeletal assymetries in high school Mexican scholars. Med Sci Sports Exer 2001; 33: S38.

7. Going S, Davis R. Body composition In: ACSM´s resource manual for guidelines for exercise testing and prescription. Williams & Wilkins, Baltimore, MD. 1998; 378-86.

8. Guide to object PAL. Borland Paradox for Windows 95 & Windows NT. Edit. Borland International, Inc. CA, 1995.

9. Jackson AS, Pollock ML. Practical assessment of body composition. Phys Sports Med 1985; 5: 76-90.

10. Janz KF, Nielsen DH, Cassady SL, Cook JS, Wu YT, Jansen JR. Cross-validation of Slaugther skinfold equations for children and adolescents. Med Sci Sports Exer 1993; 25(9): 1070-6.

11. Kanaley JA, Andresen-Reid ML, Oenning L, Kottke BA, Jensen MD. Differential health benefits of weight loss in upper-body and lower-body obese women. Am J Clin Nutr 1993; 57(1): 20-6.

12. Lohman TG. Advances in body composition assessment, 1-23, human kinetics, Champaign, Illinois, 1992.

13. Seidell JC. Relationships of total and regional body composition to morbidity and mortality. In: Roche, F.A., Heymsfield, B.S. & Lohman, G.T. Eds. Human Body Composition. Human Kinetics. Champaign, IL. 1996; 345-53.

14. Svobodova J, Haluzik M, Rosicka M, Nedvidkova J, Kotrlikova E, Kabrt J. Relation of serum leptin levels and regulation of resting energy expenditure. Vnitr Lek 1999; 45(12): 703-7.

15. Deutsch MS. Verification and validation. In: Software Engineering. Chapter 5. Jensen, R.W. & Tonies, C.C. Eds. Prentice-Hall Inc., New Jersey, 1989.

16. Hascall PA. Security and privacy. In: Software Engineering. Chapter 6. Jensen, R.W. & Tonies, C.C. Eds. Edit. Prentice-Hall, Inc., New Jersey, 1989.

17. Wiederhold G. Diseño de bases de datos. Chapter 7. McGraw-Hill 2ª. Ed. México, 1985.

18. WHO Technical report 854. WHO. Geneve, 1995.