Effect of Body Mass Index (BMI) on Concentrations of Serum Lipid Profile and Electrolytes in Students of Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria

  • Peter Waibode Alabrah Department of Obstetrics and Gynaecology, Federal Medical Centre, Yenagoa, Nigeria
  • Mieebi Martin Wankasi Department of Medical Laboratory Science, Faculty of Basic Medical Science, College of Health Science, Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria
  • Gborienemi Simeon George Department of Medical Laboratory Science, Faculty of Basic Medical Science, College of Health Science, Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria
  • Eni-yimini Solomon Agoro Directorate of Research and Quality Assurance, Federal University Otuoke, Bayelsa State, Nigeria.
Keywords: BMI, Lipids, Electrolytes, Metabolism

Abstract

Introduction: Body Mass Index (BMI) is a nutritional index used to measure the level of obesity in individuals and other weight associated abnormalities. This study was intended to investigate the effect of the various BMI classifications on total cholesterol (TCHOL), triglyceride (TG), high density lipoprotein (HDL), low density lipoprotein (LDL), potassium, sodium and chloride. Material and Methods: A total of 100 samples were collected, 25 from each BMI classification of normal, underweight, overweight and obese individuals. Five millimetres of whole blood samples were collected into plain and EDTA anticoagulant bottles respectively after an overnight fast by venepuncture. The studied biochemical parameters were determined using WHO-approved methods and data obtained were analysed using the student t-test obtained from SPSS version 23. Result: The result showed that BMI normal  TCHOL(1.67±0.22) significantly decreased (P<0.05) when compared with the BMI obese (2.33±0.52). In a similar vein, plasma TG of the normal BMI (0.54±0.32) significantly decreased (P<0.05) when compared with the BMI obese TG (1.10±0.38). Other statistical comparisons revealed a non-significant difference. Conclusion: In conclusion, this study has shown that an increasing BMI is associated with higher cholesterol and triglyceride concentrations.

References

Idris, I. O., Oguntade, A. S., Mensah, E. A., & Kitamura, N. (2020). Prevalence of non-communicable diseases and its risk factors among Ijegun-Isheri Osun residents in Lagos State, Nigeria: A community based cross-sectional study. BMC Public Health, 20(1), 1–10.

WHO. (2019). Cardiovascular diseases (CVDs)

Oladapo, O.O., Salako, I, Sodiq, O., Shoyinka, K., Adedapo, K., and Falase ,A.O.( 2010). A prevalence of cardiometabolic risk factors among a rural Yoruba south-western Nigerian population: a population-based survey. Cardiovascular Journal of Africa.;21(1):26–31.

Sobngwi, E., Mbanya, J.-C. N., Unwin, N. C., Kengne, A. P., Fezeu, L., Minkoulou, E. M., Aspray, T. J., & Alberti, K. (2002). Physical activity and its relationship with obesity, hypertension and diabetes in urban and rural Cameroon. International Journal of Obesity, 26(7), 1009–1016.

Weir, C. B., & Jan, A. (2022). BMI Classification Percentile And Cut Off Points. In StatPearls. StatPearls Publishing.

WHO. (1995). Physical status: The use and interpretation of anthropometry. Report of a WHO Expert Committee. World Health Organization Technical Report Series, 854, 1–452.

WHO. (2021). Obesity and overweight.

Finkelstein, E. A., Brown, D. S., Trogdon, J. G., Segel, J. E., & Ben-Joseph, R. H. (2007). Age-Specific Impact of Obesity on Prevalence and Costs of Diabetes and Dyslipidemia. Value in Health, 10(s1), S45–S51.

Centers for Disease Control. (2013). Overweight and obesity. Causes and consequences. Centers for Disease Control and Prevention website.

Gupta, S., Gudapati, R., Gaurav, K., & Bhise, M. (2013). Emerging risk factors for cardiovascular diseases: Indian context. Indian Journal of Endocrinology and Metabolism, 17(5), 806–814.

Upadhyay, R. K. (2015). Emerging risk biomarkers in cardiovascular diseases and disorders. Journal of Lipids, 2015.

Hussain, A., Ali, I., Kaleem, W. A., & Yasmeen, F. (2019a). Correlation between Body Mass Index and Lipid Profile in patients with Type 2 Diabetes attending a tertiary care hospital in Peshawar. Pakistan Journal of Medical Sciences, 35(3), 591–597.

Yadav, N. K., Thanpari, C., Shrewastwa, M. K., & Mittal, R. K. (2012). Comparison of lipid profile in type-2 obese diabetics and obese non-diabetic individuals. A hospital based study from Western Nepal. Kathmandu University Medical Journal (KUMJ), 10(39), 44–47.

National Population Commission of Nigeria & National Bureau of Statistics. (2016). Bayelsa (State, Nigeria)—Population Statistics, Charts, Map and Location.

Araoye, M. O. (2004). Sample size determination. Research Methodology with Statistics for Health and Social Sciences. Ilorin: Nathadex Publishers, 115–121.

Norton, K., & Eston, R. (2018). Standards for anthropometry assessment. Kinanthropometry and Exercise Physiology, 68–137.

Carl, A. B., & Edward, R. A. (2001). Analytes of haemoglobin metabolism-porphyrin, iron, and bilirubin. Fundamentals of Clinical Chemistry. Fifth Edition. Saunders, 603.

Freedman, D. S., Horlick, M., & Berenson, G. S. (2013). A comparison of the Slaughter skinfold-thickness equations and BMI in predicting body fatness and cardiovascular disease risk factor levels in children. The American Journal of Clinical Nutrition, 98(6), 1417–1424.

Steinberger, J., Jacobs, D. R., Raatz, S., Moran, A., Hong, C. P., & Sinaiko, A. R. (2005). Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents. International Journal of Obesity, 29(11), 1346–1352.

Rexford S. Ahima & Mitchell A. Lazar. (2013). The Health Risk of Obesity—Better Metrics Imperative. 341(6148), 856–858.

Flegal, K. M., Kit, B. K., Orpana, H., & Graubard, B. I. (2013). Association of all-cause mortality with overweight and obesity using standard body mass index categories: A systematic review and meta-analysis. JAMA, 309(1), 71–82. https://doi.org/10.1001/jama.2012.113905

Eke, C. B., Ogbodo, S. O., Onyire, N. B., Muoneke, U. V., Ukoha, M. O., Amadi, O. F., Eze, J. N., Rol, & Ibekwe, C. (2018). Association of Body Mass Index and Serum Lipid Profile among Adolescents in Enugu, Nigeria. Annals of Medical and Health Sciences Research.

Veghari, G., Sedaghat, M., Joshghani, H., Banihashem, S., Moharloei, P., Angizeh, A., Tazik, E., & Moghaddami, A. (2013). Obesity and risk of hypercholesterolemia in Iranian northern adults. ARYA Atherosclerosis, 9, 2–6.

Gostynski, M., Gutzwiller, F., Kuulasmaa, K., Döring, A., Ferrario, M., Grafnetter, D., Pajak, A., & WHO MONICA Project. (2004). Analysis of the relationship between total cholesterol, age, body mass index among males and females in the WHO MONICA Project. International Journal of Obesity and Related Metabolic Disorders: Journal of the International Association for the Study of Obesity, 28(8), 1082–1090.

Gopinath, N., Chadha, S. L., Jain, P., Shekhawat, S., & Tandon, R. (1994). An epidemiological study of obesity in adults in the urban population of Delhi. The Journal of the Association of Physicians of India, 42(3), 212–215.

Timerga, A., Kelta, E., Kenenisa, C., Zawdie, B., Habte, A., & Haile, K. (2020). Serum electrolytes disorder and its associated factors among adults admitted with metabolic syndrome in Jimma Medical Center, South West Ethiopia: Facility based crossectional study. PLOS ONE, 15(11), e0241486.

Sharma, R. C., Bhattacharya, N., Sharma, S., & Garg, K. (2013). Impact of body mass index (BMI) on fluid and electrolyte balance in healthy individuals. International Journal of Medical and Clinical Research, 4(1), 245.

Pandey, V., Dutt, H. K., Singh, G., & Vinod, A. P. (2017). Correlation of blood Na+ and K+ levels with Body Mass Index in population of Garhwal region of Uttarakhand. Journal of Applied Pharmaceutical Science, 7(01), 189–192.

Hussain, A., Ali, I., Kaleem, W. A., & Yasmeen, F. (2019b). Correlation between Body Mass Index and Lipid Profile in patients with Type 2 Diabetes attending a tertiary care hospital in Peshawar. Pakistan Journal of Medical Sciences, 35(3), 591.

Nwaiwu, O., & Ibe, B. C. (2015). Relationship between Serum Cholesterol and body mass index in Nigeria schoolchildren aged 2–15 years. Journal of Tropical Pediatrics, 61(2), 126–130. https://doi.org/10.1093/tropej/fmu080

Howard, B. V., Ruotolo, G., & Robbins, D. C. (2003). Obesity and dyslipidemia. Endocrinology and Metabolism Clinics of North America, 32(4), 855–867.

Rana, G., Kafle, D., Adhikari, P., Sharma, A., & Sharma, D. (2013). THE GLOBAL PROBLEM: OBESITY AND DYSLIPIDEMIA. International Research Journal of Pharmaceutical and Applied Sciences, 3(5), 69–73.

Kuwabara, M., Kuwabara, R., Niwa, K., Hisatome, I., Smits, G., Roncal-Jimenez, C. A., MacLean, P. S., Yracheta, J. M., Ohno, M., Lanaspa, M. A., Johnson, R. J., & Jalal, D. I. (2018). Different Risk for Hypertension, Diabetes, Dyslipidemia, and Hyperuricemia According to Level of Body Mass Index in Japanese and American Subjects. Nutrients, 10(8), E1011.

Muralidhara, D. V. (2007). Body mass index and its adequacy in capturing body fat. Thai J Physiol Sci, 20, 97–100.

Prentice, A. M., & Jebb, S. A. (2001). Beyond body mass index. Obesity Reviews, 2(3), 141–147.

Baumgart, P., Zidek, W., Losse, H., Karoff, Ch., Wehling, M., Vetter, W., & Vetter, H. (1983). Obesity, hypertension and intracellular electrolytes. Klinische Wochenschrift, 61(16), 803–805.

Zidek, W., Karoff, C. H., Losse, H., & Vetter, H. (1983). Intracellular electrolytes and lipid metabolism in obesity. Hormone and Metabolic Research, 15(03), 155–156.

Published
2022-10-05
Section
Original Article