Regular consumption of fruits and vegetables by university students in Rio Branco, Acre State, Brazil: Prevalence and associated factors;Consumo regular de frutas e hortaliças por estudantes universitários em Rio Branco, Acre, Brasil: Prevalência e fatores associados

Cadernos de Saude Publica

Volumn 28, Issue 7, 2012, Pages 1405-1413

  Ramalho, Alanderson Alves ^a   Dalamaria, Tatiane ^a   de Souza, Orivaldo Florencio ^a  

^a UNIVERSIDADE FEDERAL DO ACRE   (Brazil)

Author keywords

Food consumption; Food habits; Fruits; Students; Vegetables

Indexed keywords

ADULT; ARTICLE; BRAZIL; CROSS-SECTIONAL STUDY; DIET; FEEDING BEHAVIOR; FEMALE; FRUIT; HUMAN; MALE; QUESTIONNAIRE; SEX RATIO; SOCIOECONOMICS; STATISTICS; STUDENT; URBAN POPULATION; VEGETABLE;

ADULT; BRAZIL; CROSS-SECTIONAL STUDIES; DIET SURVEYS; FEMALE; FOOD HABITS; FRUIT; HUMANS; MALE; QUESTIONNAIRES; SEX DISTRIBUTION; SOCIOECONOMIC FACTORS; STUDENTS; URBAN POPULATION; VEGETABLES; YOUNG ADULT;

EID: 84863312031     PISSN: 0102311X     EISSN: 16784464     Source Type: Journal    
DOI: 10.1590/S0102-311X2012000700018     Document Type: Article

References (38)

1. World Health Organization. Global strategy on diet, physical activity and health. Geneva: World Health Organization; 2004.
2. Pereira MA, O'Reilly E, Augustsson K, Fraser GE, Goldbourt U, Heitmann BL, et al. Dietary fiber and risk of coronary heart disease: a pooled analysis of cohort studies. Arch Intern Med 2004; 164:370-6.
3. Gao X, Chen H, Fung TT, Logroscino G, Schwarzschild MA, Hu FB, et al. Prospective study of dietary pattern and risk of Parkinson disease. Am J Clin Nutr 2007; 86:1486-94.
4. Rolls BJ, Ello-Martin JA, Tohill BC. What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management? Nutr Rev 2004; 62:1-17.
5. Sartorelli DS, Franco LJ, Cardoso MA. High intake of fruits and vegetables predicts weight loss in Brazilian overweight adults. Nutr Res 2008; 28:233-8.
6. World Health Organization. Diet, nutrition and the prevention of chronic diseases. Geneva: World Health Organization; 2003. (WHO Technical Report Series, 916).
7. Block G, Woods M, Potosky A, Clifford C. Validation of a self-administered diet history questionnaire using multiple diet records. J Clin Epidemiol 1990; 43:1327-35.
8. Secretaria de Vigilância em Saúde/Secretaria de Gestão Estratégica e Participativa, Ministério da Saúde. VIGITEL Brasil 2010: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: Ministério da Saúde; 2011.
9. Jaime PC, Monteiro CA. Fruit and vegetable intake by Brazilian adults, 2003. Cad Saúde Pública 2005; 21 Suppl 1:S19-24.
10. Instituto Brasileiro de Geografia e Estatística. Pesquisa de Orçamentos Familiares - 2008-2009: análise nutricional da disponibilidade domiciliar de alimentos no Brasil. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística; 2010.
11. França C, Colares V. Estudo comparativo de condutas de saúde entre universitários no início e no final do curso. Rev Saúde Pública 2008; 42:420-7.
12. Papadaki A, Hondros G, Scott JA, Kapsokefalou M. Eating habits of university students living at, or away from home in Greece. Appetite 2007; 49:169-76.
13. Marcondelli P, Costa THM, Schmitz BAS. Nível de atividade física e hábitos alimentares de universitários do 3o ao 5o semestres da área da saúde. Rev Nutr 2008; 21:39-47.
14. Evans AE, Sawyer-Morse MK, Betsinger A. Fruit and vegetable consumption among Mexican- American college students. J Am Diet Assoc 2000; 100:1399-402.
15. Vieira VCR, Priore SE, Ribeiro SMR, Franceschini SCC, Almeida LP. Perfil socioeconômico, nutricional e de saúde de adolescentes recém-ingressos em uma universidade pública brasileira. Rev Nutr 2002; 15:273-82.
16. Unusan N. Fruit and vegetable consumption among Turkish university students. Int J Vitam Nutr Res 2004; 74:341-8.
17. Adams T, Colner W. The association of multiple risk factors with fruit and vegetable intake among a nationwide sample of college students. J Am Coll Health 2008; 56:455-61.
18. Kish L. Survey sampling. New York: John Wiley and Sons; 1965.
19. Kalton G. Introduction to survey sampling. Beverly Hills: Sage; 1983.
20. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc 2000; 32(9 Suppl): S498-504.
21. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Circulation 2007; 116:1081-93.
22. Victora C, Huttly S, Fuchs S, Olinto M. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 1997; 26:224-7.
23. Barros AJD, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 2003; 3:21.
24. Figueiredo ICR, Jaime PC, Monteiro CA. Fatores associados ao consumo de frutas, legumes e verduras em adultos da Cidade de São Paulo. Rev Saúde Pública 2008; 42:777-85.
25. Moura EC, Dias RM, Reis RC. Determinantes do consumo de frutas, legumes e verduras na população adulta de Belém, Pará, 2005. Nutrire Rev Soc Bras Aliment Nutr 2007; 32:29-40.
26. Neutzling MB, Rombaldi AJ, Azevedo MR, Hallal PC. Fatores associados ao consumo de frutas, legumes e verduras em adultos de uma cidade no Sul do Brasil. Cad Saúde Pública 2009; 25:2365-74.
27. Jaime PC, Figueiredo IC, Moura EC, Malta DC. Fatores associados ao consumo de frutas e hortaliças no Brasil, 2006. Rev Saúde Pública 2009; 43 Suppl 2:57-64.
28. Levy RB, Castro IRR, Cardoso LO, Tavares LF, Sardinha LMV, Gomes FS, et al. Consumo e comportamento alimentar entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2009. Ciênc Saúde Coletiva 2010; 15 Suppl 2: S3085-97.
29. Darmon N, Ferguson EL, Briend A. A cost constraint alone has adverse effects on food selection and nutrient density: an analysis of human diets by linear programming. J Nutr 2002; 132:3764-71.
30. Claro RM, Monteiro CA. Renda familiar, preço de alimentos e aquisição domiciliar de frutas e hortaliças no Brasil. Rev Saúde Pública 2010; 44: 1014-20.
31. Kamphuis CB, Giskes K, Bruijn GJ, Wendel-Vos W, Brug J, van Lenthe FJ. Environmental determinants of fruit and vegetable consumption among adults-a systematic review. Br J Nutr 2006; 96: 620-35.
32. Seo DC, Nehl E, Agley J, Ma SM. Relations between physical activity and behavioral and perceptual correlates among midwestern college students. J Am Coll Health 2007; 56:187-97.
33. Keller S, Maddock JE, Hannover W. Thyrian JR, Basler H. Multiple health risk behaviors in German first year university students. Prev Med 2008; 46:189-95.
34. Dodd LJ, Al-Nakeeb Y, Nevill A, Forshaw MJ. Lifestyle risk factors of students: a cluster analytical approach. Prev Med 2010; 51:73-7.
35. Sebastian RS, Wilkinson Enns C, Goldman JD. US adolescents and MyPyramid: associations between fast-food consumption and lower likelihood of meeting recommendations. J Am Diet Assoc 2009; 109:226-35.
36. Drewnowski A, Popkin BM. The nutrition transition: new trends in the global diet. Nutr Rev 1997; 55:31-43.
37. Levy-Costa RB, Sichieri R, Pontes NS, Monteiro CA. Disponibilidade domiciliar de alimentos no Brasil: distribuição e evolução (1974-2003). Rev Saúde Pública 2005; 39:530-40.
38. Miller TM, Abdel-Msksoud MF, Crane LA, Marcus AC, Byers TE. Effects of social approval bias on self-reported fruit and vegetable consumption: a randomized controlled trial. Nutr J 2008; 7:18.