Association among basal metabolic rate, body composition and pulmonary function in university students

Authors

  • Myat Su Bo Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) Kota Samarahan, Sarawak, Malaysia
  • Cheah Whye Lian Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) Kota Samarahan, Sarawak, Malaysia
  • Nur Adriana binti Azhar Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) Kota Samarahan, Sarawak, Malaysia
  • Muhammad Ashraf Fraiee bin Amran Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) Kota Samarahan, Sarawak, Malaysia
  • Yeo Deng Xin Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) Kota Samarahan, Sarawak, Malaysia
  • Nurazizah binti Anis Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS) Kota Samarahan, Sarawak, Malaysia

Keywords:

Basal metabolic rate, body composition, pulmonary function, overweight and obese

Abstract

Background: Variation in basal metabolic rate (BMR) has been closely related to obesity and pulmonary function.

Objectives: To determine the association between BMR, body composition and pulmonary function among university students aged 19 - 22 years old.

Methods: This cross-sectional study was carried out among the pre-clinical students of the Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak. Data was collected using questionnaire, anthropometric measurement, and spirometer. Statistical analysis was performed using IBM SPSS version 20.0.

Results: A total of 230 respondents participated in this study. There were 47.7% males and 41.1% females who were overweight and obese, 40.3% of the males and 46.0% of the females had high percentage of body fat, and 22.4% of the male respondents had high and very high visceral fat compared to 7.4% of the female respondents. BMR and force vital capacity (FVC) values were significant higher for males than females. Multivariate analysis showed that after adjusted for gender, percentage of visceral fat (adjust β = 0.620, 95% CI = 24.436 - 32.738), and FVC (adjust β = 0.152, 95% CI = 19.762 - 49.038) were significant associated with BMR.

Conclusions: Visceral fat has a stronger effect on BMR compared to body fat and FVC. Body fat, visceral fat and pulmonary function were found to be significantly associated with BMR, with visceral fat the highest effect on BMR. Understanding the association of these variables help in the intervention of obesity among young adults.

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References

Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: An update of activity codes and MET intensities. Med Sci Sports Exerc 2000;32:S498-S504.

https://doi.org/10.1097/00005768-200009001-00009

Bender DA, Mayes PA. Nutrition, digestion, & absorption. In: Rodwell VW, Bender DA, Botham KM, Kennelly PJ, Weil PA. eds. Harper's illustrated biochemistry. 30th ed. New York: McGraw-Hill; 2018. p.537-45.

WHO/FAO/UNU. Protein and amino acid requirements in human nutrition: Report of a joint FAO/WHO/UNU expert consultation (WHO Technical Report Series 935). Geneva: World Health Organization; 2007.

Merghani TH, Alawad AO, Ibrahim RM, Abdelmoniem AM. Prediction of basal metabolic rate in overweight/ obese and non-obese subjects and its relation to pulmonary function tests. BMC Res Notes 2015;8:353. https://doi.org/10.1186/s13104-015-1320-8

Frankenfield D, Roth-Yousey L, Compher C. Comparison of predictive equations for resting metabolic rate in healthy nonobese and obese adults: a systematic review. J Am Diet Assoc 2005;105:775-89.

https://doi.org/10.1016/j.jada.2005.02.005

Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr 1990;51:241-7.

https://doi.org/10.1093/ajcn/51.2.241

Henry CJ, Rees DG. New predictive equations for the estimation of basal metabolic rate in tropical peoples. Eur J Clin Nutr 1991;45:177-85.

Ismail MN, Ng KK, Chee SS, Roslee R, Zawiah H. Predictive equations for the estimation of basal metabolic rate in Malaysian adults. Mal J Nutr 1998;4:81-90.

Yilmaz B, Yasar E, Goktepe S, Alaca R, Yazicioglu K, Dal U, et al. Basal metabolic rate and autonomic nervous system dysfunction in men with spinal cord injury. Obesity 2007;15:2683-7.

https://doi.org/10.1038/oby.2007.320

Deurenberg P, Deurenberg-Yap M, Guricci S. Asians are different from caucasians and from each other in their body mass index/body fat per cent relationship. Obes Rev 2002;3:141-6.

https://doi.org/10.1046/j.1467-789X.2002.00065.x

Dixon AE, Peters U. The effect of obesity on lung function. Expert Rev Respir Med 2018 ;12:755-67.

https://doi.org/10.1080/17476348.2018.1506331

Koenig SM. Pulmonary complication of obesity: A review. Am J Med Sci 2001; 321:249-79.

https://doi.org/10.1097/00000441-200104000-00006

Wan Mohamed Radzi CWJ, Salarzadeh Jenatabadi H, Alanzi ARA, Mokhtar MI, Mamat MZ, Abdullah NA. Analysis of obesity among malaysian university students: a combination study with the application of bayesian structural equation modelling and pearson correlation. Int J Environ Res Public Health 2019;16. https://doi.org/10.3390/ijerph16030492

Institute for Public Health. National health and morbidity survey 2015. vol. II: non-communicable diseases, risk factors & other health problems. Kuala Lumpur: Ministry of Health Malaysia; 2015.

Cameron AJ, Dunstan DW, Owen N, Zimmet PZ, Barr EL, Tonkin AM, et al. Health and mortality consequences of abdominal obesity: evidence from the Aus Diab study. Med J Aust 2009;191:202-8.

https://doi.org/10.5694/j.1326-5377.2009.tb02753.x

Muhamad N, Htun T, Abdullah RM, Kamaruzaman NA, Hadi NAH, et al. Association between lung function and basal metabolic rate in young adults. Indian J Nat Sci 2016;6:10966-71.

Lee RD, Neiman DC. Nutritional assessment. 5th ed. Boston: McGraw-Hill, 2010.

Academy of Medicine Malaysia. Malaysian clinical practice guidelines on management of obesity [Internet]. 2010 [cited 2020 Oct 15]. Available from: http://www.moh.gov.my/cpgs. 2004.

Snitker S. Use of body fatness cut-off points. Mayo Clin Proc 2010;85:1057.

https://doi.org/10.4065/mcp.2010.0583

Omron 2008, Instruction Manual: Body Composition Scale Model HBF-375 [Internet]. 2016 [cited 2020 Oct 9]. Available from: http://data2.manualslib.com/pdf/12/1152/115145omron/hbf514.pdf? 7fc46bc46ef68d055cb984613b942e31

Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, et al. Standardisation of spirometry. Eur Respir J 2005;26:319-38. https://doi.org/10.1183/09031936.05.00034805

Loveman E, Copley VR, Colquitt J, Scott DA, Clegg A, Jones J, et al. The clinical effectiveness and costeffectiveness of treatments for idiopathic pulmonary fibrosis: a systematic review and economic evaluation. Health Technol Assess 2015;19:i-xxiv,1-336. https://doi.org/10.3310/hta19200

Azmi MY, Jr., Junidah R, Siti Mariam A, Safiah MY, Fatimah S, Norimah AK, et al. Body mass index (BMI) of adults: findings of the Malaysian Adult Nutrition Survey (MANS). Malays J Nutr 2009;15:97-119.

Yan Z, Harrington A. Factors that predict weight gain among first-year college students. Health Educ J 2020;79:94-103. https://doi.org/10.1177/0017896919865758

Johnstone AM, Murison SD, Duncan JS, Rance KA, Speakman JR. Factors influencing variation in basal metabolic rate include fat-free mass, fat mass, age, and circulating thyroxine but not sex, circulating leptin, or triiodothyronine. Am J Clin Nutr 2005;82:941-8. https://doi.org/10.1093/ajcn/82.5.941

Sampath Kumar A, Arun Maiya G, Shastry BA, Vaishali K, Maiya S, Umakanth S. Correlation between basal metabolic rate, visceral fat and insulin resistance among type 2 diabetes mellitus with peripheral neuropathy. Diabetes Metab Syndr 2019;13:344-8. https://doi.org/10.1016/j.dsx.2018.10.005

Wang Z, Heshka S, Wang J, Gallagher D, Deurenberg P, Chen Z, et al. Metabolically active portion of fatfree mass: a cellular body composition level modeling analysis. Am J Physiol Endocrinol Metab 2007;292:E49-53. https://doi.org/10.1152/ajpendo.00485.2005

Speakman JR, Selman C. Physical activity and resting metabolic rate. Proc Nutr Soc 2003;62:621-34.

https://doi.org/10.1079/PNS2003282

LoMauro A, Aliverti A. Sex differences in respiratory function. Breathe 2018;14:131-40.

https://doi.org/10.1183/20734735.000318

Liu P, Ye Z, Lu H, Lu J, Huang L, Gong J, et al. Association between body mass index (BMI) and vital capacity of college students of Zhuang nationality in China: a cross-section study. Oncotarget 2017;8:80923-33. https://doi.org/10.18632/oncotarget.20758

Choi JW, Pai SH. Brief communication: Respiratory function is closely associated with basal metabolic rate in elderly persons. Ann Clin Lab Sci 2004;34:99-102.

Adegoke OA, Arogundade O. The effect of chronic exercise on lung function and basal metabolic rate in some nigerian athletes. Afr J Biomed Res 2002;5:9-11.

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Published

2023-07-19

How to Cite

1.
Su Bo M, Whye Lian C, binti Azhar NA, Fraiee bin Amran MA, Deng Xin Y, binti Anis N. Association among basal metabolic rate, body composition and pulmonary function in university students. Chula Med J [Internet]. 2023 Jul. 19 [cited 2024 Dec. 22];65(2). Available from: https://he05.tci-thaijo.org/index.php/CMJ/article/view/127