Otwarty dostęp

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


Zacytuj

1. Belloc NB. Relationship of health practices and mortality. Prev Med. 1973;2(1):67-81.10.1016/0091-7435(73)90009-1Search in Google Scholar

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):868-874.10.1038/ejcn.2013.60378611323486510Search in Google Scholar

3. U.S. Department of Agriculture. What We Eat in America, NHANES, 2001-2002. Available online at: www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/Table_5_BIA.pdf. Accesed: 08.05.2014.Search in Google Scholar

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):440-447.10.1093/ajcn/69.3.44010075328Search in Google Scholar

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):436-443.10.3945/ajcn.112.057521371255223761483Search in Google Scholar

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

7. Johnson GH, Anderson GH. Snacking definitions: impact on interpretation of the literature and dietary recommendations. Crit Rev Food Sci Nutr. 2010;50(9):848-871.10.1080/1040839090357247920924867Search in Google Scholar

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

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;13:33.10.1186/1475-2891-13-33401176924708610Search in Google Scholar

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):426-435.10.1080/17441692.2014.89454924684694Search in Google Scholar

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):1-5.10.1016/j.appet.2011.09.02022001023Search in Google Scholar

12. Scully M, Dixon H, Wakefield M. Association between commercial television exposure and fast-food consumption among adults. Public Health Nutr. 2009;12(1):105-110.10.1017/S136898000800201218339226Search in Google Scholar

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.Search in Google Scholar

14. World Health Organization, Regional Office for Europe. Body mass index - BMI. Available online: www.euro.who.int/en/health-topics/diseaseprevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi Accesed: 07.18.2014.Search in Google Scholar

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):1640-1645.10.1161/CIRCULATIONAHA.109.19264419805654Search in Google Scholar

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):403-488.10.1007/s12529-012-9242-523093473Search in Google Scholar

17. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. 2014;37(Suppl 1):S81-90.10.2337/dc14-S08124357215Search in Google Scholar

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 2001.10.1001/jama.285.19.248611368702Search in Google Scholar

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: www.ncbi.nlm.nih.gov/books/NBK217512/ Accessed: 08.04.2014.Search in Google Scholar

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):868-874.10.1038/ejcn.2013.60378611323486510Search in Google Scholar

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;6:227.10.3389/fphys.2015.00227453528126321959Search in Google Scholar

22. Weaver CM. Potassium and health. Adv Nutr. 2013;4(3):368S-77S.10.3945/an.112.003533365050923674806Search in Google Scholar

23. Jenkins DJA. Carbohydrate tolerance and food frequency. British Journal of Nutrition. 1997;77(Suppl 1):S71-81.10.1079/BJN19970105Search in Google Scholar

24. McCrory MA, Campbell WW. Effects of eating frequency, snacking, and breakfast skipping on energy regulation: symposium overview. J Nutr. 2011;141(1):144-147.10.3945/jn.109.11491821123468Search in Google Scholar

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):323-330.10.1016/j.clnu.2009.08.01719748710Search in Google Scholar

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.e1.10.1016/j.jand.2014.11.017438064625620753Search in Google Scholar

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.Search in Google Scholar

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):145-154.10.1093/heapro/16.2.14511356753Search in Google Scholar

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):213-224.10.2147/JMDH.S14900302489121289862Search in Google Scholar

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):152-157.10.3844/jssp.2011.152.157Search in Google Scholar

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.Search in Google Scholar

eISSN:
2247-6113
Język:
Angielski
Częstotliwość wydawania:
6 razy w roku
Dziedziny czasopisma:
Medicine, Clinical Medicine, other