Body Mass Index and Waist-Hip Ratio as Health Risk Predictors among selected Southern Nigerian University Undergraduates

Year 2023, , 1 - 15, 27.12.2023

Gabriel Sunday Oladipo Jennifer Efe Jaiyeoba-ojigho Oghenefego Michael Adheke , Josephine Onyinyechi Mbam

https://doi.org/10.56484/iamr.1375753

Abstract

Objective: The use of clinical anthropometry in the evaluation of several forms of health risks associated with dietary patterns and lifestyle habits has been encouraged globally. This present study aimed to assess the body mass index (BMI) and waist-hip ratio (WHR) of selected South-Southern Nigerian tertiary students.
Methods: The study involved 100 students (50 males: 50 females) of Madonna University, Elele between 18 to 25 years. The health risk classification based on the BMI of both genders was grouped into seven (7) classes; severely underweight, underweight, normal weight, overweight, obese I, II, and III. The WHR health risk classification was grouped into three (3) classes for both genders; low, moderate, and high risks. A stadiometer was calibrated to the nearest 0.01m to obtain body height while body weight was measured to the nearest 0.1kg with a HD358 Tanita digital bathroom weighing scale. Waist (WC) and hip circumferences (HC) were measured to the nearest 0.5cm with a non-stretchable measuring tape.
Results: The study showed that the highest proportion of students was either normal (27%) or overweight (24%). Females had a mean BMI and WHR of 26.56kg/m2 and 0.77, respectively while males had a mean BMI and WHR of 30.99kg/m2 and 1.04, respectively. Based on WHR health risk classification, a higher percentage of males had a high risk (40%) in comparison to females (18%). There was a significant difference in the distribution of the WHR health risk classification between males and females (p=0.045).
Conclusion: The current study concluded that both BMI and WHR could significantly be utilized as health risk predictors of disorders associated with diet and lifestyle habits in the study population.

Keywords

Clinical anthropometry, body mass index, waist-hip ratio, South-Southern Nigeria, health risk.

Ethical Statement

Ethical approval was obtained from the Research Ethics Committee of Madonna University. All identities of the participants were protected in line with the Declaration of Helsinki (as revised in 2008)

Supporting Institution

Madonna University

Thanks

The authors wish to thank the participants of this research for their roles in obtaining anthropometric data.

References

• Santos DA, Dawson JA, Matias CN, Rocha PM, Minderico CS, Allison DB, Silva AM. Reference values for body composition and anthropometric measurements in athletes. PloS one. 2014; 9(5):e97846.
• Madden AM, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. Journal of human nutrition and dietetics. 2016; 29(1):7-25.
• Holmes CJ, Racette SB. The utility of body composition assessment in nutrition and clinical practice: an overview of current methodology. Nutrients. 2021; 13(8): 2493.
• Alberga AS, Sigal RJ, Goldfield G, Prud'Homme D, Kenny GP. Overweight and obese teenagers: why is adolescence a critical period? Pediatric obesity. 2012; 7(4):261-273.
• Thomas DT, Erdman KA, Burke LM. Nutrition and athletic performance. Med Sci Sports Exerc. 2016; 48(3):543-568.
• Nuttall FQ. Body mass index: obesity, BMI, and health: a critical review. Nutrition today. 2015; 50(3):117.
• Huxley R, Mendis S, Zheleznyakov E, Reddy S, Chan J. Body mass index, waist circumference and waist: hip ratio as predictors of cardiovascular risk—a review of the literature. European journal of clinical nutrition, 2010; 64(1):16-22.
• Kivimäki M, Luukkonen R, Batty GD, Ferrie JE, Pentti J, Nyberg ST, Jokela M. Body mass index and risk of dementia: analysis of individual-level data from 1.3 million individuals. Alzheimer's & Dementia. 2018; 14(5):601-609.
• Uzogara SG. Underweight, the less discussed type of unhealthy weight and its implications: a review. American Journal of Food Science and Nutrition Research. 2016; 3(5):126-142.
• Khan J, Chattopadhyay A, Shaw S. Assessment of nutritional status using anthropometric index among older adult and elderly population in India. Scientific Reports. 2023; 13(1):13015.
• Piché ME, Poirier P, Lemieux I, Després JP. Overview of epidemiology and contribution of obesity and body fat distribution to cardiovascular disease: an update. Progress in cardiovascular diseases. 2018; 61(2):103-113.
• De Lorenzo A, Gratteri S, Gualtieri P, Cammarano A, Bertucci P, Di Renzo L. Why primary obesity is a disease? Journal of translational medicine, 2019; 17:1-13.
• Mohajan D, Mohajan HK. Obesity and Its Related Diseases: A New Escalating Alarming in Global Health. Journal of Innovations in Medical Research. 2023; 2(3):12-23.
• Uzogara SG. Obesity epidemic, medical and quality of life consequences: a review. Int J Public Health Res. 2017; 5(1):1.
• Puhl RM, Heuer CA. Obesity stigma: important considerations for public health. American journal of public health. 2010; 100(6):1019-28.
• Golubnitschaja O, Liskova A, Koklesova L, Samec M, Biringer K, Büsselberg D, Kubatka P. Caution,“normal” BMI: health risks associated with potentially masked individual underweight—EPMA Position Paper 2021. EPMA Journal, 2021; 12(3):243-264.
• Talumaa B, Brown A, Batterham RL, Kalea AZ. Effective strategies in ending weight stigma in healthcare. Obesity Reviews. 2022; 23(10):e13494.
• Oladipo GS, Osaat RS, Orluwene CG, Suleman YA. Body mass index and waist-to-hip ratio among adults of Obowo nationality in Imo state, Nigeria. International Journal of Basic, Applied and Innovative Research. 2012; 1(4):138-144.
• Zaslavsky O, Rillamas‐Sun E, LaCroix AZ, Woods NF, Tinker LF, Zisberg A, Zelber‐Sagi S. Association between anthropometric measures and long‐term survival in frail older women: Observations from the Women's Health Initiative Study. Journal of the American Geriatrics Society. 2016; 64(2), 277-284.
• Andreasson A, Carlsson AC, Önnerhag K, Hagström H. Waist/hip ratio better predicts development of severe liver disease within 20 years than body mass index: a population-based cohort study. Clinical Gastroenterology and Hepatology. 2017; 15(8):1294-1301.
• Bi X, Tey SL, Leong C, Quek R, Loo YT, Henry CJ. Correlation of adiposity indices with cardiovascular disease risk factors in healthy adults of Singapore: a cross-sectional study. BMC obesity. 2016; 3(1):1-7.
• Koliaki C, Liatis S, Kokkinos A. Obesity and cardiovascular disease: revisiting an old relationship. Metabolism. 2019; 92:98-107.
• Segula D. Complications of obesity in adults: a short review of the literature. Malawi Medical Journal. 2014; 26(1):20-24.
• Després JP. Body fat distribution and risk of cardiovascular disease: an update. Circulation. 2012; 126(10):1301-13.
• Bastien M, Poirier P, Lemieux I, Després JP. Overview of epidemiology and contribution of obesity to cardiovascular disease. Progress in cardiovascular diseases. 2014; 56(4):369-381.
• Kim SH, Després JP, Koh KK. Obesity and cardiovascular disease: friend or foe? European heart journal. 2016; 37(48):3560-3568.
• Gutin I. In BMI we trust: reframing the body mass index as a measure of health. Social Theory & Health. 2018; 16:256-271.
• Canoy D. Coronary heart disease and body fat distribution. Current atherosclerosis reports. 2010; 12:125-133.
• Llewellyn A, Simmonds M, Owen CG, Woolacott N. Childhood obesity as a predictor of morbidity in adulthood: a systematic review and meta‐analysis. Obesity reviews. 2016; 17(1):56-67.
• Ghazali SM, Sanusi RA. Waist circumference, waist to hip ratio, and body mass index in the diagnosis of metabolic syndrome in Nigerian subjects. Nigerian Journal of Physiological Sciences. 2010; 25(2):187-195.
• Budreviciute A, Damiati S, Sabir DK, Onder K, Schuller-Goetzburg P, Plakys G, Kodzius R. Management and prevention strategies for non-communicable diseases (NCDs) and their risk factors. Frontiers in public health. 2020; 8:788.
• Idris IO, Oguntade AS, Mensah EA, Kitamura N. 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. 2020; 20:1-10.
• Olufayo OE, Ajayi IO, Ngene SO. Clustering of cardiovascular disease risk factors among first-year students at the University of Ibadan, Nigeria: a cross-sectional study. Sao Paulo Medical Journal. 2022; 141:98-106.
• Blüher M. Obesity: global epidemiology and pathogenesis. Nature Reviews Endocrinology. 2019; 15(5):288-298.
• Skou ST, Mair FS, Fortin M, Guthrie B, Nunes BP, Miranda JJ, Smith SM. Multimorbidity. Nature Reviews Disease Primers. 2022; 8(1):48.
• Hume PA, Ackland T. Physical and clinical assessment of nutritional status. In Nutrition in the prevention and treatment of disease (pp. 71-84). Academic Press, 2017.
• Larson-Meyer DE., Woolf K, Burke L. Assessment of nutrient status in athletes and the need for supplementation. International journal of sport nutrition and exercise metabolism. 2018; 28(2):139-158.
• Reber E, Gomes F, Vasiloglou MF, Schuetz P, Stanga Z. Nutritional risk screening and assessment. Journal of clinical medicine. 2019; 8(7):1065.
• Senbanjo IO, Senbanjo CO, Afolabi WA, Olayiwola IO. Co-existence of maternal overweight and obesity with childhood undernutrition in rural and urban communities of Lagos State, Nigeria. Acta Bio Medica: Atenei Parmensis. 2019; 90(3):266.
• Dukhi N. Global prevalence of malnutrition: evidence from literature. Malnutrition. 2020; 1:1-16.
• James PT. Obesity: the worldwide epidemic. Clinics in Dermatology. 2004; 22(4):276-280.
• Bhaskaran K, dos-Santos-Silva I, Leon DA, Douglas IJ, Smeeth L. Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3· 6 million adults in the UK. The Lancet Diabetes & Endocrinology. 2018; 6(12):944-953.
• Zhang Q, Wang Y. Socioeconomic inequality of obesity in the United States: do gender, age, and ethnicity matter? Social Science & Medicine. 2004; 58(6):1171-80.
• Ogden CL, Yanovski SZ, Carroll MD, Flegal KM. The epidemiology of obesity. Gastroenterology. 2007; 132(6):2087-2102.
• Al-Nakeeb Y, Lyons M, Collins P, Al-Nuaim A, Al-Hazzaa H, Duncan MJ, Nevill A. Obesity, physical activity and sedentary behavior amongst British and Saudi youth: A cross-cultural study. International Journal of Environmental Research and Public Health. 2012; 9(4):1490-1506.
• Kanter R, Caballero B. Global gender disparities in obesity: a review. Advances in Nutrition. 2012; 3(4):491-498.
• Piché ME, Tchernof A, Després JP. Obesity phenotypes, diabetes, and cardiovascular diseases. Circulation research. 2020; 126(11):1477-1500.
• Cois A, Day C. Obesity trends and risk factors in the South African adult population. BMC obesity. 2015; 2:1-10.
• Robinson E. Overweight but unseen: a review of the underestimation of weight status and a visual normalization theory. Obesity Reviews. 2017; 18(10):1200-1209.
• James WPT. Obesity: a global public health challenge. Clinical chemistry. 2018; 64(1):24-29.
• Mlodzik-Czyzewska MA, Malinowska AM, Chmurzynska A. Low folate intake and serum levels are associated with higher body mass index and abdominal fat accumulation: a case control study. Nutrition Journal. 2020; 19(1):1-8.
• Zabarsky G, Beek C, Hagman E, Pierpont B, Caprio S, Weiss R. Impact of severe obesity on cardiovascular risk factors in youth. The Journal of pediatrics. 2018; 192:105-114.
• Beaudry KM, Ludwa IA., Thomas AM, Ward WE, Falk B, Josse AR. First-year university is associated with greater body weight, body composition and adverse dietary changes in males than females. PloS one. 2019; 14(7):e0218554.
• Al-Safi ZA, Polotsky AJ. Obesity and menopause. Best Practice & Research Clinical Obstetrics & Gynaecology. 2015; 29(4):548-553.
• Ekingen T, Sob C, Hartmann C, Rühli FJ, Matthes KL, Staub K, Bender N. Associations between hydration status, body composition, sociodemographic and lifestyle factors in the general population: a cross-sectional study. BMC Public Health. 2022; 22(1):900.
• Asiwe N, Irozulike FC, Wariboko LI, Adheke OM. Health Assessment of the Ikwerres and Okrikas Ethnic Group of Rivers State, Nigeria: Using Body Mass Index and Waist-to-Hip Ratio. Journal of Complementary and Alternative Medical Research. 2023; 23(2):27-35.