Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Correlation between Neck Circumference, Waist Circumference, Body Mass Index, and Overweight/Obesity among Ajman University Students


Affiliations
1 Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
2 Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
     

   Subscribe/Renew Journal


Over the past 40 years, the prevalence of obesity has been rapidly increasing in both developed and developing countries. Obesity and overweight pose major health problems, as they are associated with various chronic diseases and malignancies. With the aim of achieving better obesity control, it is essential to have simple, reliable, and quick assessment methods. Recently, there has been an interest in the use of neck circumference (NC), waist circumference (WC), and waist to hip ratio (WHR) as alternative screening methods to identify obesity. We conducted a cross-sectional study on students of Ajman University from different colleges of both genders. A total number of 500 students were selected randomly. Anthropometric data of students, including height (H), weight (W), neck circumference (NC) and waist circumference (WC) were measured and recorded. 500 students was assessed anthropometrically. The overall mean values of all parameters were found to be higher among male students than female students. The mean NC, WC, and BMI value was higher among male (36.93 ± 2.86 cm), (88.00 ± 14.11), (24.38 ± 5.64), respectively, than female (32.14 ± 2.49 cm), (77.32 ± 10.09), and (23.45 ± 4.85), respectively. The mean values for NC, WC, and BMI for each category of both genders are described. Results reveal a positive relationship between neck circumference, waist circumference and overweight/obesity, but further studies involving larger number of population are required to support using such tools in screening for obesity.

Keywords

Obesity, Anthropometry, Neck Circumference, Waist Circumference, BMI, Risk Factors.
Subscription Login to verify subscription
User
Notifications
Font Size


  • Hales CM, Fryar CD, Carroll MD, Freedman DS, Ogden CL. Trends in obesity and severe obesity prevalence in US youth and adults by sex and age, 2007-2008 to 2015-2016. Jama. 2018; 319(16):1723–5.
  • Misra A, Khurana L. Obesity and the metabolic syndrome in developing countries. J Clin Endocrinol Metab. 2008; 93(11_supplement_1):s9–30.
  • Ahrens W, Pigeot I, Pohlabeln H, De Henauw S, Lissner L, Molnár D, et al. Prevalence of overweight and obesity in European children below the age of 10. Int J Obes. 2014; 38(S2):S99.
  • WHO. Obesity, 2016 [Internet]. 2016 [cited 2018 May 13]. Available from: http://www.who.int/gho/ncd/risk_factors/obesity_ text/en
  • Kim T. Longitudinal Analyses of Socioecological Obesogenic Factors in a Large Sample of US Children. Indiana University; 2018.
  • Giskes K, van Lenthe F, Avendano‐Pabon M, Brug J. A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments? Obes Rev. 2011; 12(5):e95–106.
  • Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, et al. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes. 2008; 32(6):959.
  • Mondal N, Sen J, Bose K, Timungpi R, Kathar M, Hanse S. Neck circumference as a screening measure of overweight/obesity among Indian adults. Anthropol Rev. 2016; 79(3):347–65.
  • McInnis KJ. Exercise and obesity. Coron Artery Dis. 2000; 11(2):111–6.
  • Jakicic JM, Otto AD. Treatment and prevention of obesity: what is the role of exercise? Nutr Rev. 2006; 64(suppl_1):S57–61.
  • Jakicic JM, Wing RR, Winters-Hart C. Relationship of physical activity to eating behaviors and weight loss in women. Med Sci Sports Exerc. 2002;
  • Richardson CR, Newton TL, Abraham JJ, Sen A, Jimbo M, Swartz AM. A meta-analysis of pedometer-based walking interventions and weight loss. Ann Fam Med. 2008; 6(1):69–77.
  • Jakicic JM, Davis KK. Obesity and physical activity. Psychiatr Clin. 2011; 34(4):829–40.
  • Ma Y, Bertone ER, Stanek III EJ, Reed GW, Hebert JR, Cohen NL, et al. Association between eating patterns and obesity in a free-living US adult population. Am J Epidemiol. 2003; 158(1):85–92.
  • Jenkins DJ, Wolever TM, Vuksan V, Brighenti F, Cunnane SC, Rao AV, et al. Nibbling versus gorging: metabolic advantages of increased meal frequency. N Engl J Med. 1989; 321(14):929–34.
  • Vik FN, Øverby NC, Lien N, Bere E. Number of meals eaten in relation to weight status among Norwegian adolescents. Scand J Public Health. 2010; 38(5_suppl):13–8.
  • Mota J, Fidalgo F, Silva R, Ribeiro JC, Santos R, Carvalho J, et al. Relationships between physical activity, obesity and meal frequency in adolescents. Ann Hum Biol. 2008; 35(1):1–10.
  • Stanton Jr JL, Keast DR. Serum cholesterol, fat intake, and breakfast consumption in the United States adult population. J Am Coll Nutr. 1989; 8(6):567–72.
  • Huang CJ, Hu HT, Fan YC, Liao YM, Tsai PS. Associations of breakfast skipping with obesity and health-related quality of life: evidence from a national survey in Taiwan. Int J Obes. 2010; 34(4):720.
  • Horikawa C, Kodama S, Yachi Y, Heianza Y, Hirasawa R, Ibe Y, et al. Skipping breakfast and prevalence of overweight and obesity in Asian and Pacific regions: a meta-analysis. Prev Med. 2011; 53(4–5):260–7.
  • Rosenheck R. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. Obes Rev. 2008; 9(6):535–47.
  • Bezerra IN, Sichieri R. Eating out of home and obesity: a Brazilian nationwide survey. Public Health Nutr. 2009; 12(11):2037–43.
  • Bhutani S, Schoeller DA, Walsh MC, McWilliams C. Frequency of eating out at both fast-food and sit-down restaurants was associated with high body mass index in non-large metropolitan communities in midwest. Am J Health Promot. 2018; 32(1):75– 83.
  • Mazidi M, Speakman JR. Higher densities of fast-food and fullservice restaurants are not associated with obesity prevalence. Am J Clin Nutr. 2017; 106(2):603–13.
  • Johar M, Maruyama S, Truong J. The contribution of Western fast food to fast-growing body mass in China. Appl Econ. 2017; 49(8):797–811.
  • Aronne LJ. Classification of obesity and assessment of obesity‐related health risks. Obes Res. 2002; 10(S12):105S-115S.
  • Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BW, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010; 67(3):220–9.
  • Simon GE, Ludman EJ, Linde JA, Operskalski BH, Ichikawa L, Rohde P, et al. Association between obesity and depression in middle-aged women. Gen Hosp Psychiatry. 2008; 30(1):32–9.
  • Milaneschi Y, Simmons WK, Rossum EF, Penninx BW. Depression and obesity: evidence of shared biological mechanisms. Mol Psychiatry. 2018; 1.
  • Blaine B. Does depression cause obesity? A meta-analysis of longitudinal studies of depression and weight control. J Health Psychol. 2008; 13(8):1190–7.
  • Verma A, Jayaraman M, Kumar HK, Modi KD. Hypothyroidism and obesity. Cause or effect? Saudi Med J. 2008; 29(8):1135–8.
  • Garber JR, Cobin RH, Gharib H, Hennessey JV, Klein I, Mechanick JI, et al. Clinical practice guidelines for hypothyroidism in adults: cosponsored by the American Association of Clinical Endocrinologists and the American Thyroid Association. Thyroid. 2012; 22(12):1200–35.
  • Gambineri A, Pelusi C, Vicennati V, Pagotto U, Pasquali R. Obesity and the polycystic ovary syndrome. Int J Obes. 2002; 26(7):883.
  • Barber TM, Joharatnam J, Franks S. Pathogenesis and Management of Adiposity and Insulin Resistance in Polycystic Ovary Syndrome (PCOS). In: Pediatric Obesity. Springer; 2018. p. 629–42.
  • Barber TM, McCarthy MI, Wass JAH, Franks S. Obesity and polycystic ovary syndrome. Clin Endocrinol (Oxf). 2006; 65(2):137–45.
  • Chakrabarti J. Serum leptin level in women with polycystic ovary syndrome: correlation with adiposity, insulin, and circulating testosterone. Ann Med Health Sci Res. 2013; 3(2):191.
  • Gambineri A, Pagotto U, Tschöp M, Vicennati V, Manicardi E, Carcello A, et al. Anti-androgen treatment increases circulating ghrelin levels in obese women with polycystic ovary syndrome. J Endocrinol Invest. 2003; 26(7):629–34.
  • Poddar M, Chetty Y, Chetty VT. How does obesity affect the endocrine system? A narrative review. Clin Obes. 2017; 7(3):136–44.
  • Arnaldi G, Angeli A, Atkinson Ab, Bertagna X, Cavagnini F, Chrousos GP, et al. Diagnosis and complications of Cushing’s syndrome: a consensus statement. J Clin Endocrinol Metab. 2003; 88(12):5593–602.
  • Ramachandrappa S, Farooqi IS. Genetic approaches to understanding human obesity. J Clin Invest. 2011; 121(6):2080– 6.
  • Bell CG, Walley AJ, Froguel P. The genetics of human obesity. Nat Rev Genet. 2005; 6(3):221.
  • Camelia Davtyan MD, Ma M. Drug-induced weight gain. Proc UCLA Healthc. 2008; 12.
  • Breum L, Fernstrom MH. Drug-induced obesity. Int Textb Obes. 2001; 269–81.
  • Ness-Abramof R, Apovian CM. Drug-induced weight gain. Drugs Today. 2005; 41(8):547.
  • Verhaegen AA, Van Gaal LF. Drug-induced obesity and its metabolic consequences: a review with a focus on mechanisms and possible therapeutic options. J Endocrinol Invest. 2017; 40(11):1165–74.
  • Devlin MJ, Yanovski SZ, Wilson GT. Obesity: what mental health professionals need to know. Am J Psychiatry. 2000; 157(6):854–66.
  • Russ MJ, Ackerman SH. Antidepressants and weight gain. Appetite. 1988; 10(2):103–17.
  • Leslie WS, Hankey CR, Lean ME. Weight gain as an adverse effect of some commonly prescribed drugs: a systematic review. QJM Int J Med. 2007; 100(7):395–404.
  • Russell‐Jones D, Khan R. Insulin‐associated weight gain in diabetes–causes, effects and coping strategies. Diabetes Obes Metab. 2007; 9(6):799–812.
  • Spencer SJ, Tilbrook A. The glucocorticoid contribution to obesity. Stress. 2011; 14(3):233–46.
  • John K, Marino JS, Sanchez ER, Hinds Jr TD. The glucocorticoid receptor: cause of or cure for obesity? Am J Physiol-Endocrinol Metab. 2015; 310(4):E249–57.
  • Ratliff JC, Barber JA, Palmese LB, Reutenauer EL, Tek C. Association of prescription H1 antihistamine use with obesity: results from the National Health and Nutrition Examination Survey. Obesity. 2010; 18(12):2398–400.
  • Van Ganse E, Kaufman L, Derde MP, Yernault JC, Delaunois L, Vincken W. Effects of antihistamines in adult asthma: a metaanalysis of clinical trials. Eur Respir J. 1997; 10(10):2216–24.

Abstract Views: 165

PDF Views: 0




  • Correlation between Neck Circumference, Waist Circumference, Body Mass Index, and Overweight/Obesity among Ajman University Students

Abstract Views: 165  |  PDF Views: 0

Authors

Akram Ashames
Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
Nageeb Hassan
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
Kristen Alamir
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
Kamar Modalaleh
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
Alin Naser
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates
Aya Khawatmi
Department of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, PO Box 346, Ajman, United Arab Emirates

Abstract


Over the past 40 years, the prevalence of obesity has been rapidly increasing in both developed and developing countries. Obesity and overweight pose major health problems, as they are associated with various chronic diseases and malignancies. With the aim of achieving better obesity control, it is essential to have simple, reliable, and quick assessment methods. Recently, there has been an interest in the use of neck circumference (NC), waist circumference (WC), and waist to hip ratio (WHR) as alternative screening methods to identify obesity. We conducted a cross-sectional study on students of Ajman University from different colleges of both genders. A total number of 500 students were selected randomly. Anthropometric data of students, including height (H), weight (W), neck circumference (NC) and waist circumference (WC) were measured and recorded. 500 students was assessed anthropometrically. The overall mean values of all parameters were found to be higher among male students than female students. The mean NC, WC, and BMI value was higher among male (36.93 ± 2.86 cm), (88.00 ± 14.11), (24.38 ± 5.64), respectively, than female (32.14 ± 2.49 cm), (77.32 ± 10.09), and (23.45 ± 4.85), respectively. The mean values for NC, WC, and BMI for each category of both genders are described. Results reveal a positive relationship between neck circumference, waist circumference and overweight/obesity, but further studies involving larger number of population are required to support using such tools in screening for obesity.

Keywords


Obesity, Anthropometry, Neck Circumference, Waist Circumference, BMI, Risk Factors.

References