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academician, nutrition, anthropometry, blood glucose, blood lipids, body mass index, physical activity


Background: This study was planned and carried out to determine the influence of nutrition situations and physical activity levels of individuals working as academicians at the university on their anthropometric measurements, blood glucose, and blood lipid.

Materials and Methods: 47 volunteers participated in the research, and their height, waist circumference (WC), and weight was measured. The blood samples of the volunteers was taken after 12 hours of fasting, their preprandial blood glucose (PrBG), postprandial blood glucose (PoBG), total cholesterol, triglyceride, HDL-cholesterol, and LDL-cholesterol levels were measured. Nutritional consumption measurements were taken with 24-hour recall method, and, after having the volunteer subjects make nutritional changes, daily consumption quantities were determined.

Results: The body mass index (BMI) was 24.34±4.73kg/m2 in the women and 27.90±3.97 kg/m2 in men. The mean WC was 84.15±15.89 cm for women and 98.18±10.89 for men. A statistically significant difference was found between the BMI of the women and their WC, total cholesterol level, HDL-cholesterol, LDL-cholesterol, and triglyceride averages. According to the BMI of the men, a statistically significant difference was found with their WC, PoBG, and triglyceride averages. In both women and men, it was observed that as their physical activity increased, their levels of BMI, WC, PoBG level, and triglyceride level were reduced.

Conclusions:  We conclude from this study that academicians who are overweight and who suffer from impaired glucose intolerance and dyslipidemia have balanced nutrition and to do physical activities to become healthy.


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1. Anonymous. General directorate of primary health care. Turkey obesity (overweight) with struggle and control program. TR Ministry of Health (2010-2014). 2010; 15-23, Ankara: Turkey.
2. Sarkar D, Mondal N and Sen J. Obesity and blood pressure variations among the bengal ikayastha population of north bengal, India. J Life Sci. 2009; 1(1): 35-43.
3. Oda E. Obesity-related risk factors of cardiovascular disease. Circ J. 2009; 73: 2204–2205.
4. Janssen I, Katzmarzyk PT and Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr. 2004; 79: 379–384.
5. Finucane MM, Stevens GA, Cowan MJ, et al. National, regional, and global trends in body-mass index since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. Lancet. 2011; 377:557-67.
6. Smith KB, Smith MS. Obesity statistics. Prim Care. 2016; 43: 121-35.
7. Piana N, Battistini D, Urbani L, et al. Multidisciplinary life style intervention in the obese: its impact on patients perception of the disease, food and physical exercise. Nutr Metab Cardiovasc Dis. 2013; 23: 337-43.
8. Satman I, Yilmaz T, Sengül A, et al. Population-based study of diabetes and risk characteristics in Turkey: results of the Turkish diabetes epidemiology study (TURDEP). DiabetesCare. 2002; 25(9):1551-1556.
9. Satman I, Omer B, Tutuncu Y, et al. TURDEP-II StudyGroup. Twelve-yeartrends in theprevalenceand risk factors of diabetes and prediabetes in Turkish adults. Eur J Epidemiol. 2013; 28(2):169-180.
10.Balady GJ. ACSM’s guidelines for exercise testing and prescription. Philadelphia:London, Lippincott Williams &Wilkins. 2009; 6th ed, pp 5-7
11. Bray GA. Classification and evaluation of the obesities (Review). MedClin North Am. 1989; 173:161-84.
12. Ozer D, Baltaci G. Physical activity at work..Klasmat Typography, Ministry of Health Publication. 2008; No:730, Ankara: Turkey
13. WHO (2017). WHO report. Access link:;2017 [accessed: 19 June2019].
14. Slentz CA, Duscha BD, Johnson JL, et al. Effects of the amount of exercise on body weight, body composition, and measures of central obesity: STRRIDE-a randomized controlled study. Archives of internal medicine. 2004; 164: 31-39.
15. Guiney H, Lucas S, Cotter J, et al. Evidence cerebral blood-flow regulation mediates exercise-cognition links in healthy young adults. Neuropsychology. 2015; 29(1):1-9.
16. Kalkavan A, Ozkara AB, Alemdag C, et al. Investigation of the physical activity participation levels and obesity status of academic staff. International Journal of Science Culture and Sport. 2016; 4(1): 329-339.
17.Coopoo Y, Constantinou D, Rothberg AD. Energy expenditure in Office workers with identified health risks. South African Journal of Sport Medicine. 2008; 20: 40-44.
18. Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, individual variation in posture allocation: possible role in human obesity. Science. 2005; 307: 584-586.
19. Borak J. Obesity and the work place. OccupMed (Lond).2011; Jun 61(4):220-2.
20. Baysal A. Nutrition. Hatiboglu publications: 93.Course Book Series: 26. 2011; ISBN: 975-7527-73-4, 14.printing. Ankara: Turkey.
21. Anonymous. Turkey specific nutritional guide. TR Ministry of Health General directorate of primary healthcare, Hacettepe university department of nutrition and dietetics. 2004; Ankara:Turkey.
22. WHO (2018) WHO Report Access link: [accessed: 19 June2019].
23.Myles H, Wolfe DA, Chicken E. Nonparametric statistical methods, 3rd Edition. Wiley Series in Probability and Statictics. 2013; p.848, ISBN:978-0-470-38737-5.
24.Royston P. Approximating the shapiro- wilk w-test fornon-normality. Statisticsand Computing. 1992; 2 (3):117- 119.
25.American Diabetes Association Classification and diagnosis of diabetes. Diabetes Care. 2017; 40 (Suppl. 1) p 11–24 | DOI: 10.2337/dc17-S005.
26.Yurtseven E, Eren F, Vehid S, et al. Evaluation of eating habits of white-collar workers. Kocaeli Medical Journal. 2014; 15 (1): 20: 6.
27.Sahin H, Cicek B, Yilmaz M, et al. Obesity prevalence, waist-to-height ratio and associated factors in adult Turkish males, Obesity Research&Clinical Practice. 2011; 5(1): 29–35.
28.Kutluturk F, Oztürk B, Yildirim B, et al. Obesity prevalence and its association with metabolic risk factors: Tokat province prevalence study. Turkey Clinics Journal of Medical Sciences. 2011; 31(1): 156-163.
29.Oda E. LDL cholesterol was more strongly associated with percent body fat than body mass index and waist circumference in a health screening population.Obesity Research and Clinical Practice. 2018; 12(2):195-203.
30. Oguri M, Fujimaki T, Horibe H, et al. Obesity-related changes in clinical parameters and conditions in a longitudinal population-based epidemiological study. Obesity Research&Clinical Practice. 2017;11: 299-314.
31.Russo A, Pirisinu I, Vacca C, et al. An intensive life style intervention reduces circulating oxidised low-density lipoprotein and increases human paraoxonase activity in obese subjects. Obesity Research&Clinical Practice. 2018; 12: 108-114.
32.Mentoor I, Kruger M, Nell T. Metabolic syndrome and body shape predict differences in health parameters in farm working women. PubMed, BMC Public Health. 2018; 18(1):453.
33.Nalbant A, Konuk S. Association of obesity with vitamin D, C-reactive protein, blood group and hemogram parameters. Middle East Medical Journal. 2017; 10 (1): 20-25.

34. Korkut Y. The evaluation of the prevalence of metabolic syndrome and lipid profile according to body massindex in obese women. Konuralp Medical Journal. 2015; (1): 40-44.

35.Park SH and Kim SG. Comparison of hypertension prediction analysis using waist measurement and body massindex byage group. PubMed. Osong Public Health Res Perspect. 2018; 9(2): 45-49.
36.American Diabetes Association. Life style management diabetes care. 2017; 40(Suppl. 1):S33–S43 | DOI: 10.2337/dc17-S007.
37.Seker SE, Alphan Tufekci ME, Ozaydin N, et al. Effects of eating habits on anthropometrics and blood values of automotive factory workers in Tofas. International Peer-Reviewed Journal of Nutrition Research. 2015; 4,1.19.

38.Dabhadker K, Shrivastva R, Sharma A. Nutrition of coal mine workers (a case study of korbacoalmines, chhattisgarh). International Journal of Scientific&Technology Research. 2013; 2(5): 278-287.
39.Jonnalagadda SS, Harnack L, Liu RH, et al. Putting the whole grain puzzle together: health benefits associated with whole grains -Summary of American Society for Nutrition 2010 SatelliteSymposium. J. Nutr. 2010; 141: 1011-1022.
40.McKeown NM, Yoshida M, Shea MK, et al. Whole-grainin take and cereal fiber. J.Nutr. 2009; 139:1950– 1955.
41. Rimm EB, Ascherio A, Giovannucci E. Vegetable, fruit, and cereal fiber in take and risk of coronary heart disease among men. JAMA. 1996; 275: 447–451.
42.Van Dam RM, Grievink L, Ocké MC, et al. Patterns of food consumption and risk factors for cardiovascular disease in the general Dutch population. Am. J. Clin. Nutr. 2003; 77: 1156–1163.
43.Qu Y, Hu D, Huang J, et al. Eating more fruits, vegetables may cut stroke risk worldwide. American Heart Association Rapid Access Journal Report. May 08, 2014.
44. Flier JS, Foster DW. Eating disorders:obesity, anorexia anervosa, and bulimi anervosa. 1998. In: Williams Textbook of Endocrinology, 9th ed. Wilson JD, pp 1061-97 Foster DW, Kronenberg HM, Larsen PR (Eds), Philadelphia PA, WB Saunders.
45.Genc M, Egri M, Kurcer MA, et al. Frequency of physical activity in bank employees in Malatya city center.Inonu University Faculty of Medicine Journal.2002; 9: 237-40.
46.World Health Organization Obesity: preventing and managing the global epidemic. Report of a WHO consultation. WHO Technical Report Series 2000; 894: 1-12.
47. Biernat E, Tomaszewski P, Milde K. Physical activity of Office workers. BiolSport. 2010; 27: 289-96.
48.Hallal PC, Victoria CG, Wells JC, et al. Physical inactivity: prevalence and associated variables in Brazilian adults. MedSci Sports Exerc. 2003; 35: 894-900.
49.Hamer M, Ingle L, Carroll S, et al. Physical activity and cardiovascular mortality risk: possible protective mechanisms? MedSci Sports Exerc. 2012; 44: 84-8.
50. Gaziano JM, Manson JE, Ridker PM. Primary and secondary prophylaxis of coronary heart disease. In: Braunwald’s Heart Disease, Textbook of Cardiovascular Medicine. Zipes DP, Libby P, Bonow RO, Braunwald E (Eds). (Translation: Heart Diseases, volume2, 1.printing), İstanbul, Nobel Medical Book stores. 2008; pp 1057-81.
51.Erdogan M, Certel Z, Guvenc A. Assessment of physical activity level in offıce workers according to obesity and some variables (The Akdeniz University Hospital example). Journal of Sports Medicine. 2011; 46 (3): 97-107.

52.Uluoz E, Yılmaz CY, Dinc ZF. An investigation of participation status of academicians in different faculties in physical activity. International Journal of Cultural and Social Studies.(IntJCSS)3(Special Issue 2). 2017; 326-336.
53.Iri R, Aktug Z, Ibis S. The investigation of the relationship between physical activity levels and obesity of academic staff at Nigde Omer Halisdemir University. International Journal of Sport, Exercise& Training Sciences. 2018- IJSETS 4 (1): 49-56.