Correlates of Abnormal Body Mass Index among Commercial Bank Workers in Port Harcourt City, Rivers State Nigeria

Authors

  • Marygold Mbarie Department of Preventive and Social Medicine, University of Port Harcourt
  • Kingsley Douglas Department of Preventive and Social Medicine, University of Port Harcourt
  • Mmenim Godwin Ikoedem Department of Preventive and Social Medicine, University of Port Harcourt
  • Adachristy V Chinedu-Enechi Department of Preventive and Social Medicine, University of Port Harcourt

DOI:

https://doi.org/10.60787/tnhj.v24i2.792

Keywords:

Obesity, Diabetes, Hypertension, Health Implication, Bank workers

Abstract

Background: Body Mass Index (BMI) recently has become a tool in medical practice to especially check overweight and obesity and all the attendant health-related problems. Bank workers due to the sedentary lifestyle they live may be predisposed to the associated health-related problems. The study analysed the health implications of abnormal Body Mass Index (BMI) of commercial bank workers in Port Harcourt City, Rivers State, Nigeria.

Methods: This cross-sectional study utilized a multistage sampling technique to recruit 123 commercial bank workers. Body Mass Index (BMI) measurements, blood pressure and blood sugar tests and questionnaires were administered to commercial bank workers by the health of a trained research assistant in their respective banks. Descriptive statistics was used to present data on prevalence while inferential statistics was used to test association (significant p=0.05).

Results: Findings on the categorization of Body Mass Index (BMI) among bankers revealed that 2.4% are underweight; 35.0% of sampled respondents have normal body weight; 31.7% of sampled respondents are overweight, and 30.1% of sampled respondents are obese. Prevalence of health risks of hypertension and diabetes among bankers accounted for 11.4% and 5.7% respectively. Body Mass Index (BMI) significantly correlates with hypertension (r=0.277; p<0.05) and diabetes (r=0.362; p<0.05);

Conclusion: Findings revealed that BMI was directly correlated with the prevalence of hypertension and diabetes in the study area. Most of the sampled commercial bank workers are overweight and obese, therefore, they stand the risk of a diabetic or hypertensive condition.

References

World Health Organization. Physical inactivity: a global public health problem. 2010. URL www. Who. int/dietphysicalactivity/factsheet_inactivity/en/. Part I APPEND. 2012.

Kushner RF. Obesity management. Gastroenterology Clinics of North America. 2007 Mar 1;36(1):191-210.

Tan KC. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The lancet. 2004..

Barness LA, Opitz JM, Gilbert‐Barness E. Obesity: genetic, molecular, and environmental aspects. American journal of medical genetics part A. 2007 Dec

;143(24):3016-34.

Nishida C, Borghi E, Branca F, de Onis M. Global trends in overweight and obesity.

Ajayi IO, Adebamowo C, Adami HO, Dalal S, Diamond MB, Bajunirwe F, Guwatudde D, Njelekela M, Nankya-Mutyoba J, Chiwanga FS, Volmink J. Urban–rural and geographic differences in overweight and obesity in four sub-Saharan African adult populations: a multi-country cross-sectional study. BMC public health. 2016 Dec;16(1):1-3.

Kelly T, Yang W, Chen CS, Reynolds K, He J. Global burden of obesity in 2005 and projections to 2030. International journal of obesity. 2008 Sep;32(9):1431-7.

Hossain P, Kawar B, El Nahas M. Obesity and diabetes in the developing world—a growing challenge. New England journal of medicine. 2007 Jan 18;356(3):213-5.

Cusi K. The epidemic of type 2 diabetes mellitus: its links to obesity, insulin resistance, and lipotoxicity. Diabetes and exercise. 2009:3-54.

Carraça EV, Silva MN, Markland D, Vieira PN, Minderico CS, Sardinha LB, Teixeira PJ. Body image change and improved eating self-regulation in a weight management intervention in women. International Journal of Behavioral Nutrition and Physical Activity. 2011 Dec;8:1-1.

Allman-Farinelli MA, Chey T, Merom D, Bauman AE. Occupational risk of overweight and obesity: an analysis of the Australian Health Survey. Journal of Occupational Medicine and Toxicology. 2010 Dec;5(1):1-9.

Brownson RC, Boehmer TK, Luke DA. Declining rates of physical activity in the United States: what are the contributors? Annu. Rev. Public Health. 2005 Apr 21; 26:421-43.

Zubery D, Kimiywe J, Martin HD. Prevalence of overweight and obesity, and its associated factors among health-care workers, teachers, and bankers in Arusha City, Tanzania. Diabetes, Metabolic Syndrome and Obesity. 2021 Feb 2:455-65.

Kaushik KN. A Study of Prevalence of Hypertension Among Bank Employees of Randomly Selected Banks in Bangalore Urban District (Doctoral dissertation, Rajiv Gandhi University of Health Sciences (India)).

Akukwe TI, Ogbodo C. Spatial analysis of vulnerability to flooding in Port Harcourt metropolis, Nigeria. Sage Open. 2015 Mar 18;5(1):2158244015575558.

Cox W. Dermographia world urban areas: 15th annual edition. Demographia: Belleville, ON, USA. 2019.

Ismail IM, Kulkarni AG, Kamble SV, Borker SA, Rekha R, Amruth M. Prevalence of hypertension and its risk factors among bank employees of Sullia Taluk, Karnataka. Sahel Medical Journal. 2013 Oct 1;16(4):139.

Lwanga SK, Lemeshow S, World Health Organization. Sample size determination in health studies: a practical manual. World Health Organization; 1991.

Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, Gortmaker SL. The global obesity pandemic: shaped by global drivers and local environments. The lancet. 2011 Aug 27;378(9793):804-14.

Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutrition reviews. 2012 Jan 1;70(1):3-21.

Olatona FA, Aderibigbe SA, Sule GO, Goodman OO, Sekoni OO. Knowledge and practice of sedentary lifestyle among bankers in Abuja, North-Central Nigeria.

Awugosi MC, Obi-Nwosu AL, Edeh GC, Ekwebene OC, Abalihe UO, Anigwe FC, Chiekezie CF. Knowledge, attitude and practices about hypertension amongst adult residents in South-Eastern Nigeria. Current Medicine Research and Practice. 2023 Nov 1;13(6):258-69.

Ogah OS, Okpechi I, Chukwuonye II, Akinyemi JO, Onwubere BJ, Falase AO, Stewart S, Sliwa K. Blood pressure, prevalence of hypertension and hypertension related complications in Nigerian Africans: A review. World journal of cardiology. 2012 Dec 12;4(12):327.

Nyenwe EA, Odia OJ, Ihekwaba AE, Ojule A, Babatunde S. Type 2 diabetes in adult Nigerians: a study of its prevalence and risk factors in Port Harcourt, Nigeria. Diabetes research and clinical practice. 2003 Dec 1;62(3):177-85.

Sabir AA, Balarabe S, Sani AA, Isezuo SA, Bello KS, Jimoh AO, Iwuala SO. Prevalence of diabetes mellitus and its risk factors among the suburban population of Northwest Nigeria. Sahel Medical Journal. 2017 Oct 1;20(4):168.

Gezawa ID, Puepet FH, Mubi BM, Uloko AE, Bakki B, Talle MA, Haliru I. Socio-demographic and anthropometric risk factors for type 2 diabetes in Maiduguri, North-Eastern Nigeria. Sahel Medical Journal. 2015 Jan 1;18(5):1.

Uloko AE, Musa BM, Ramalan MA, Gezawa ID, Puepet FH, Uloko AT, Borodo MM, Sada KB. Prevalence and risk factors for diabetes mellitus in Nigeria: a systematic review and meta-analysis. Diabetes Therapy. 2018 Jun; 9:1307-16.

Landi F, Calvani R, Picca A, Tosato M, Martone AM, Ortolani E, Sisto A, D’Angelo E, Serafini E, Desideri G, Fuga MT. Body mass index is strongly associated with hypertension: Results from the longevity check-up 7+ study. Nutrients. 2018 Dec 13;10(12):1976.

Downloads

Published

2024-06-10

How to Cite

Mbarie, M., Douglas, K., Ikoedem, M. G., & Chinedu-Enechi, A. V. (2024). Correlates of Abnormal Body Mass Index among Commercial Bank Workers in Port Harcourt City, Rivers State Nigeria. The Nigerian Health Journal, 24(2), 1196 – 1203. https://doi.org/10.60787/tnhj.v24i2.792

Similar Articles

<< < 34 35 36 37 38 39 40 > >> 

You may also start an advanced similarity search for this article.