Assessing Knowledge of the Effects of Obesity/Overweight in staff of a Non‐Governmental Organization in AkwaIbom State Nigeria

Download Article

DOI: 10.21522/TIJPH.2013.04.02.Art040

Authors : Angela Chinyelu Momoh


Prolonged sitting and sedentary behavior comprises a major part of the modern lifestyle: at work, leisure (watching television, Internet) and commuting/traveling, and this has been implicated in the prevalence of overweight and obesity. The study sought to assess the degree of knowledge of a population of nongovernmental staff in AkwaIbom state Nigeria on the health effects of overweight and obesity. A questionnaire was administered through direct interview to fifty (n50) staff in FHI360 AkwaIbom state office, Nigeria who gave verbal consent (NonHealth Personnel (n=23), Laboratory Personnel (n=8), Doctor (n=15), and Pharmacist (n=4).82% of respondents have an appreciable knowledge of the health effects of overweight/obesity, 95.5% the causes, while 74.5% are aware that BMI (body Mass Index) can be used as a monitoring tool for overweight/obesity, however, only a total 42.8% of respondents knew their BMI. There is therefore an urgent need to create an avenue in form of health fare for the study population to determine their BMI and improve their lifestyle/health seeking behavior to avoid the adverse health effects of overweight/obesity. 


[1.] AkaroloAnthony SN, Willett WC, Spiegelman D, and Adebamowo CA (2014). Obesity epidemic hasemerged among Nigerians.BMC Public Health, 14:455

[2.] Allison KC, Ahima RS, O'Reardon JP, Dinges DF, Sharma V, Cummings DE, et al. (2005): Neuroendocrine profiles associated with energy intake, sleep, and stress in the night eating syndrome. J Clin Endocrinol Metab.; 90:6214–6217.

[3.] Basu S, M cKee M , Galea G, Stuckler D. (201 3): Relationship of soft drink consumption to global overweight, obesity, and diabetes: a crossnational analysis of 75 countries. Am J Public Health 1 03(1 1 ):2071 -7

[4.] Dhingra R, Sullivan L, Jacques PF, et al (2007) . Soft drink consumption and risk of developing cardiometabolic risk factors and the metabolic syndrome in middle aged adults in the community. Circulation; 116:480488

[5.] Dietz WH Jr, Gortmaker SL. (1985): Do we fatten our children at the television set? Obesity and television viewing in children and adolescents. Pediatrics; 75(5):807–812.

[6.] Ebbeling, Cara B.(2014) Sugarsweetened beverages and body weight. Current Opinion in Lipidology: Volume 25 Issue 1 p 17

[7.] French SA, Jeffery RW, Forster JL, McGovern PG, Kelder SH, Baxter JE. (1994): Predictors of weight change over two years among a population of working adults: the Healthy Worker Project. Int J Obes Relat Metab Disord.; 18:145154. French SA, Harnack L, Jeffery RW. (2000): Fast food restaurant use among women in the Pound of Prevention study: dietary, behavioral and demographic correlates. Int J Obes Relat Metab Disord.;24:13531359

[8.] Joshua A. Bell &Mark Hamer&G. David Batty &Archana SinghManoux&Séverine Sabia & Mika Kivimaki (2014): Combined effect of physical activity and leisure time sitting on longterm risk of incident obesity and metabolic risk factor clustering.

[9.] Kant AK, Graubard BI. (2006): Secular trends in patterns of selfreported food consumption of adult Americans: NHANES 1971–1975 to NHANES 1999–2002. Am J Clin Nutr 84(5): 1215–1223.

[10.] Kelly T, Yang W, Chen CS, Reynolds K, He J(2008): Global burden of obesity in 2005 and projections to 2030. Int J Obes, 32:1431–1437.

[11.] Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, AdairRohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, BarkerCollo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, BryanHancock C, Bucello C, et al: A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2013, 380:2224–2260.

[12.] Omran A (2001). The epidemiologic transition. A theory of the Epidemiology of population change. Bull World Health Organ. 79(2):161170.

[13.] Ono T, Guthold R, Strong K (2005; 2012: WHO Global Comparable Estimates: Global Infobasdata for saving lives.

[14.] Popkin BM, Adair LS, Ng SW (2012): Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev, 70:3–21.

[15.] Prentice AM, Jebb SA. (1995): Obesity in Britain: gluttony or sloth? BMJ 12; 311(7002):437– 439.

[16.] Reddy K and Yusuf S (1998). Emerging epidemic of cardiovascular disease in developing countries. Circulation. 97(6):596601.

[17.] RC Boston, PJ Moate, KC Allison, JD Lundgren, Stunkard AJ.(2008): Modeling circadian rhythms of food intake by means of parametric deconvolution: results from studies of the night eating syndrome. Am J ClinNutr.; 87:1672–1677.

[18.] Shiyovich A1, Shlyakhover V, Katz A. (2013): Sitting and cardiovascular morbidity and mortality, Harefuah; 152(1):438, 58, 57.

[19.] Sanjay Basu, Martin McKee, Gauden Galea, and David Stuckler,(201 3) Relationship of Soft Drink Consumption to Global Overweight, Obesity, and Diabetes: A Cross-National Analysis of 75 Countries. American Journal of Public Health: Vol. 103, No. 11, pp. 2071-2077.

[20.] WHO: Fact sheet on Obesity 2010; 2012.