EPIDEMIOLOGY OF OVERWEIGHT AND OBESITY OF TRAITORS OF THE MULTIMODAL FREIGHT MANAGEMENT OFFICE OF THE CITY PROVINCE OF KINSHASA
Abstract
Objective: To determine the prevalence of overweight and obesity in the workplace.
Methods: We conducted a cross-sectional study with 210 workers of which 119 male (56.7%) and 91 female (43.3%) selected in a simple random manner in a company in the city of Kinshasa province between November 2013 to January 2014. Overweight was determined by workers with a body mass index between 25 and 29.9 kg / m2 and obesity by those with a body mass index ≥ 30 kg / m2.
Results: This study found a prevalence of 23.8% of overweight workers and 48.1% of workers suffering from obesity with predominance in women (65.5% in men vs. 80.2% in women, p <0.014). The frequency of risk factors associated with obesity increased with the increase in weight status of BMI (p <0.001).
Conclusion: Obesity is a common pathology in the workplace and hypertension is the main modifiable risk factor. Sedentarity is the main determinant of overweight and obesity. Obesity is a public health problem in the workplace in the city of Kinshasa because of the command and collaboration frameworks are most affected.
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Popkin BM., Doak CM. The obesity epidemic is a worldwide phenomenon. Nutr Rev. 1998;56(4):106-14.
James PT, Leach R, Kalamara E, Shayeghi M. The worldwide obesity epidemic. Obes Res. 2001; 9 (Suppl 4):228-33.
Verdot C, Torres M, Salanave B, Deschamps V. Corpu- lence des enfants et des adultes en France metropolitaine en 2015. Résultats de l’étude Esteban et évolution depuis 2006. Bull Epidemiol Hebd. 2017; 13: 234-41.
Pedersen BK, Saltin B. Evidence for prescribing exercise as therapy in chronic disease. Scandinavian journal of medicine and science in sports. 2006; 16 (suppl. 1): 3 - 63.
Tudor L, Myers AM. Challenges and opportunities for measuring physical activity in sedentary adults. Sports Medicine. 2001; 31(2): 91-100.
Gaillard T, Schuster D, Osei K. Metabolic syndrome in Black people of the African diaspora: the paradox of current classification, definition and criteria. Ethn Dis. 2009; 19(suppl 2):1-7.
Ozen KB., Sarac F, Sarac S, Uluer H, Yilmaz C. Metabolic Syndrome insulin resitance, fibrinogen, hemocysteine, leptin, and C-reative protein in obese patients with obstructive sleep apnea syndrome Annual Thoracic Medicine.2011; 6 (3): 120- 5.
O’Donovan G, Thomas EL, McCarthy JP, Fitzpatrick J, Durighel G, Mehta S et al. Fat distribution in men of different waist girth, fitness level and exercise habit. Int J Obes (Lond). 2009; 33(12): 1356-62.
Royer TD, Martin PE. Manipulations of leg mass and moment of inertia: effects on energy cost of walking. Med Sci Sports Exerc. 2005; 37(4): 649–56.
Mercuro G, Deidda M, Piras A, Dessalvi CC, Maffei S, Rosano GM, Gender. determinants of cardiovascular risk factors and diseases. J Cardiovas Med. 2010; 11(3):207-20.
Gennus KP., Gangnon, CE. Matthews, KM., Thraen Borowski KM,Colbert LH. Sedentary behavior, physical activity, and markers of health in older adults. Med Sci Sports Exerc. 2013; 45(1): 1493-500.
Koffi NM, Sally SJ, Kouame P, Silue K, Nama AD. Faciès de l’hypertension artérielle en milieu professionnel à Abidjan. Médecine d’Afrique Noire. 2001 ; 48(6) : 257-60.
Ngoa L, Sego FM, Belinga A. Obesite en milieu hotelier: Influence du poste de travail sur les métabolismes lipidique et glucidique et sur la pression artérielle: de 180 employées de sexe féminin des Hôtels de Yaoundé au Cameroun. Médecine d'Afrique noire. 2006;53(3):137-41.
Fouda DB., Lemogoum J, Manga JO, Dissongo R. Tobbit DF, Moyo DF et al. Epidémiologie de l’obésité en milieu du travail à Douala au cameroun, Rev Méd Brux.. 2012 ;33(3) :131-7.
Barnett TA., Gauvin L, Craig CL., Katzmarzy T. Distinct trajectories of leisure time physical activity and predictors of trajectory class membership: a 22 year cohort study. Int J Behav Nutr Phys Act. 2008; 5(1): 57-65.
Beunza JJ, Martinez Gonzales MA, Ebrahim S, Bes Rastrollo M, Nunez J, Martinez JA et al. Sedentary behaviors and the risk of incident hypertension: the SUN Cohort. Am J Hypertens. 2007; 20(11): 1156-62.
Helmerhorst HJ, Wijndaele K, Brage S, Wareham NJ, Ekelund U. Objectively measured sedentary time may predict insulin resistance independent of moderate- and vigorous intensity physical activity. Diabetes. 2009; 58(8): 1776-9.
Gao X, Nelson ME, Tucker KL. Television viewing is associated with prevalence of metabolic syndrome in Hispanic elders, Diabetes Care. 2007; 30(3): 694-700.
Stamatakis E, Davis M, Stathi A, Hamer M. Associations between multiple indicators of objectively-measured and self-reported sedentary behaviour and cardiometabolic risk in older adults. Preventive medicine. 2012;54(1):82-7.
DOI: http://dx.doi.org/10.24125/sanamed.v14i1.277
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