Investigation of the relationship between basal metabolic rate and body composition in young adults using CHAID analysis

Main Article Content

Irfan Yildirim
Ilkay Dogan
Ozkan Isik
Yunus Yildirim
Seniz Karagoz

Keywords

Basal Metabolic Rate, Body Composition, CHAID Analysis, Obesity

Abstract

Study Objectives: Basal metabolic rate (BMR) is the most important component of the individual’s daily energy-consuming. Personal and environmental factors make a difference in BMR. Body composition is the most important variable for BMR, from these factors. In this context, the aim of this study was to examine the relationship between BMR and body components in young adults and to determine the most effective body component on BMR. Methods: The sample of this study consisted of 229 women and 123 men, a total of 349 young adult individuals. All measurements of the participants were carried out in the physiology laboratory of the School of Physical Education and Sports, Afyon Kocatepe University. Participants' height measurements were measured using Seca 213 (Germany) 1 mm precision portable stadiometer, body compositions (Body weight, Fat Mass, Free-Fat Mass, and Total Body Water) and BMR using a bioelectrical impedance analyzer. In the analysis of the obtained data, CHAID analysis was applied using the SPSS package program to explain the relationship between basal metabolic rate and body composition as well as descriptive statistics. Results: It was determined that the BMR of men and women differed statistically. It was determined that the most important body component affecting BMR in young adult women and men is free-fat mass. Conclusion: The BMR was predicted by 83.91% in young adult women and 70.39% in men by free-fat mass. Moreover, it was determined that BMR increased as the free-fat mass increased.

Abstract 1661 | PDF Downloads 437

References

1. Erkuş ME, Altiparmak H, Kaya Z, et al. Sağlıklı yetişkin erkeklerde çeşitli vücut kompozisyon parametreleri ve arteryel sertlik arasındaki ilişki. Firat Tip Dergisi 2016; 21(1): 35-9.
2. Yıldırım İ, Yıldırım Y, Isik O, et al. Üniversite öğrencilerinde farklı ölçüm yöntemlerine göre obezite prevalansı. İnönü Üniversitesi Beden Eğitimi ve Spor Bilimleri Dergisi 2017; 4(2): 20-33.
3. Sınar DS, Acar NE, Yıldırım İ. Kafein ve Obezite. Türkiye Spor Bilimleri Dergisi 2019; 3(1): 10-20.
4. Yildirim I, Aydin Altinbas M, Demirezen NB, et al. The effect of different exercise types on sedentary young women’s lipid profile. J Back Musculoskelet Rehab 2019; (Preprint): 1-7.
5. Morley JE, Thomas DR. Geriatric Nutrition. Florida: Chapman and Hall/CRC Press; 2007.
6. St-Onge MP, Gallagher D. Body composition changes with aging: the cause or the result of alterations in metabolic rate and macronutrient oxidation? Nutrition 010; 26(2): 152-5.
7. Guyton AC, Hall JE, Textbook of Medical Physiology. 11th Ed. Philadelphia; 2006.
8. Yalçın T, Besler HT. Tiroid Fonksiyonları ile Bazal ve Dinlenme Metabolik Hızları Arasındaki İlişki. Beslenme ve Diyet Dergisi 2016; 44(2): 154-9.
9. Pitta F, Troosters,T, Probst VS, et al. KOAH’ta anketler ve hareket sensörleri ile günlük yaşamdaki fiziksel aktiviteyi belirleme. Eur Respir J 2006; 27: 1040-55.
10. Schutz Y, Weinsier RL, Hunter GR. Assessment of free‐living physical activity in humans: an overview of currently available and proposed new measures. Obes Res 2001; 9(6): 368-79.
11. Wilson MM, Morley JE. Physiology of aging: invited review: aging and energy balance. J Appl Physiol 2003; 95: 1728-36
12. Soares MJ, Müller MJ. Resting energy expenditure and body composition: critical aspects for clinical nutrition. Eur J Clin Nutr 2018; 72(9): 1208-14.
13. Speakman JR, Selman C. Physical activity and resting metabolic rate. Proc Nutr Soc 2003; 62(3): 621-34.
14. Casper RC, Schoeller DA, Kushner R, et al. Total daily energy expenditure and activity level in anorexia nervosa. Am J Clin Nutr 1991; 53(5): 1143-50.
15. Froehle AW. Climate variables as predictors of basal metabolic rate: new equations. Am J Hum Biol 2008; 20(5): 510-29.
16. Piperata BA. Basal metabolic rate (human). The International Encyclopedia of Biological Anthropology 2018; 1-5.
17. Corbin CB, Lindsey R, Welk G, et al. Concepts of fitness and wellness: A comprehensive lifestyle approach. Boston: McGraw-Hill: 2000.
18. Forbes GB. Human body composition: growth, aging, nutrition, and activity. Springer Science & Business Media: 2012.
19. Ellis KJ. Human body composition: in vivo methods. Physiol Rev 2000; 80(2): 649-80.
20. Temur,HB. An assesment on the basal metabolic rate according to chosen variables. Journal of Human Sciences 2018; 15(4): 1914-23.
21. Lührmann, PM, Herbert BM, Neuhäuser-Berthold M. Effects of fat mass and body fat distribution on resting metabolic rate in the elderly. Metabolism 2001; 50: 972-5
22. Molnar D, Schutz Y. The effect of obesity, age, puberty and gender on resting metabolic rate in children and adolescents. Eur J Pediatr 1997; 156(5): 376-81.
23. Altay MA, Ertürk C, Sert C, et al. Bioelectrical impedance analysis of basal metabolic rate and body composition of patients with femoral neck fractures versus controls. Eklem Hastalik Cerrahisi 2012; 23(2): 77-81.
24. Dogan N, Ozdamar K. CHAID Analizi ve Aile Planlaması İle İlgili Bir Uygulama. Turkiye Klinikleri Journal of Medical Sciences 2003; 23(5): 392-7.
25. Dogan, I. Holştayn ırkı ineklerde süt verimine etki eden faktörlerin CHAID analizi ile incelenmesi. Ankara Üniversitesi Veteriner Fakültesi Dergisi 2003; 50(1): 65-70.

Most read articles by the same author(s)