The Prevalence and Correlates of Eating Between Meals in a Cross-Sectional Study of a Health Oriented Adult Population

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Objectives: To assess the prevalence of snacking and to explore the relationship between snacking and several demographic, anthropometric, functional and biochemical factors. Methods: The study included 756 individuals over 18 years of age from Medias, Romania. Demographics and data about snacking were collected by trained volunteers. Height, weight, waist circumference, blood pressure were measured with standard equipment according to accepted procedures. Blood glucose and cholesterol were measured by experienced nurses using portable devices. Associations between variables were checked with the Pearson Chi-square test. Odds ratios and 95% confidence intervals were calculated to measure the association between binary variables. Results: About half of the subjects in the studied sample reported snacking less than 2 times / week, 34.5% between 3-4 times / week and 14.8% more than 4 times / week. Statistical analysis found that snacking was associated with gender (males being less likely to snack than females), ethnicity (non-Romanians being less likely to snack than Romanian ethnics), marital status of the subjects (not married people being less likely to snack than married people ), systolic blood pressure (people consuming more often snacks being less likely to have high systolic blood pressure values), and blood sugar level (people eating more frequently between meals being more likely to have higher blood glucose levels). Conclusions: Snacking was a widespread eating habit among the study participants and was significantly associated with gender, ethnicity, marital status, systolic blood pressure and blood glucose levels.

1. Belloc NB. Relationship of health practices and mortality. Prev Med. 1973;2(1):67-81.

2. Duffey KJ, Pereira RA, Popkin BM. Prevalence and energy intake from snacking in Brazil: analysis of the first nationwide individual survey. Eur J Clin Nutr. 2013;67(8):868-874.

3. U.S. Department of Agriculture. What We Eat in America, NHANES, 2001-2002. Available online at: Accesed: 08.05.2014.

4. McCrory MA, Fuss PJ, McCallum JE, et al. Dietary variety within food groups: association with energy intake and body fatness in men and women. Am J Clin Nutr. 1999;69(3):440-447.

5. Mekary RA, Giovannucci E, Cahill L, et al. Eating patterns and type 2 diabetes risk in older women: breakfast consumption and eating frequency. Am J Clin Nutr. 2013;98(2):436-443.

6. Zizza CA. Healthy snacking recommendations: One size does not fit all. Physiol Behav. 2014;pii:S0031-9384(14)00051-1.

7. Johnson GH, Anderson GH. Snacking definitions: impact on interpretation of the literature and dietary recommendations. Crit Rev Food Sci Nutr. 2010;50(9):848-871.

8. Schoenborn CA. Health habits of U.S. adults, 1985: the „Alameda 7” revisited. Public Health Rep. 1986;101(6):571-580.

9. Saldiva SR, Venancio SI, de Santana AC, et al. The consumption of unhealthy foods by Brazilian children is influenced by their mother’s educational level. Nutr J. 2014;13:33.

10. Wichaidit W, Sangthong R, Chongsuvivatwong V, et al. Religious affiliation and disparities in risk of non-communicable diseases and health behaviours: findings from the fourth Thai National Health Examination Survey. Glob Public Health. 2014;9(4):426-435.

11. Scully M, Wakefield M, Niven P, et al. Association between food marketing exposure and adolescents’ food choices and eating behaviors. Appetite. 2012;58(1):1-5.

12. Scully M, Dixon H, Wakefield M. Association between commercial television exposure and fast-food consumption among adults. Public Health Nutr. 2009;12(1):105-110.

13. Nădăşan V, Şular F, Horvath A, Tarcea M, Abram Z. Demographic Differences Between the Recipients of a Health Promotion Campaign and the General Population. Revista de Igienă şi Sănătate Publică. 2012;62(4):31-42.

14. World Health Organization, Regional Office for Europe. Body mass index - BMI. Available online: Accesed: 07.18.2014.

15. Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention. Circulation. 2009;120(16):1640-1645.

16. Perk J, De Backer G, Gohlke H, et al. European guidelines on cardiovascular disease prevention in clinical practice (version 2012): the fifth joint task force of the European society of cardiology and other societies on cardiovascular disease prevention in clinical practice. Int J Behav Med. 2012;19(4):403-488.

17. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37(Suppl 1):S81-90.

18. Third Report of the National Cholesterol Education Program (NCEP). Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Executive Summary. National Cholesterol Education Program, National Heart, Lung, and Blood Institute, National Institutes of Health. NIH Publication No. 01-3670 May 2001.

19. National Research Council, Food and Nutrition Board. What Is America Eating?: Proceedings of a Symposium. Washington (DC), National Academies Press, 1986 p. 92. Available online at: Accessed: 08.04.2014.

20. Duffey KJ, Pereira RA, Popkin BM. Prevalence and energy intake from snacking in Brazil: analysis of the first nationwide individual survey. Eur J Clin Nutr. 2013;67(8):868-874.

21. Burnier B, Wuerzner G, Bochud M. Salt, blood pressure and cardiovascular risk: what is the most adequate preventive strategy? A Swiss perspective. Front Physiol. 2015;6:227.

22. Weaver CM. Potassium and health. Adv Nutr. 2013;4(3):368S-77S.

23. Jenkins DJA. Carbohydrate tolerance and food frequency. British Journal of Nutrition. 1997;77(Suppl 1):S71-81.

24. McCrory MA, Campbell WW. Effects of eating frequency, snacking, and breakfast skipping on energy regulation: symposium overview. J Nutr. 2011;141(1):144-147.

25. Bes-Rastrollo M, Sanchez-Villegas A, Basterra-Gortari FJ, et al. Prospective study of self-reported usual snacking and weight gain in a Mediterranean cohort: the SUN project. Clin Nutr. 2010;29(3):323-330.

26. Aljuraiban GS, Chan Q, Oude Griep LM et al. The impact of eating frequency and time of intake on nutrient quality and Body Mass Index: the INTERMAP Study, a Population-Based Study. J Acad Nutr Diet. 2015;115(4):528-36.e1.

27. Nădăşan V, Şular F, Horvath A, Tarcea M, Ábrám Z. Particularităţi demografice ale participanţilor la o campanie de promovare a sănătăţii. Buletinul Academiei de Ştiinţe a Moldovei. 2013;5(41):200-205.

28. Stock C, Wille L, Krämer A. Gender-specific health behaviors of German university students predict the interest in campus health promotion. Health Promot Int. 2001;16(2):145-154.

29. Johansson H, Stenlund H, Lundström L, Weinehall L. Reorientation to more health promotion in health services - a study of barriers and possibilities from the perspective of health professionals. J Multidiscip Healthc. 2010;26(3):213-224.

30. Zainuddin R, Abdullah N, Din SZM, Yeow PHP, Loo HS. A Study of Public Health Awareness among the Elderly in an Industrially Developing Country. J Soc Sci. 2011;7(2):152-157.

31. Petróczi A, Nepusz T. Methodological considerations regarding response bias effect in substance use research: is correlation between the measured variables sufficient? Subst Abuse Treat Prev Policy. 2011;6:1.

Acta Medica Marisiensis

The Journal of The University of Medicine and Pharmacy of Targu-Mures

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