Clustering of physical inactivity and low fruit and vegetables intake and associated factors in young adults

Authors

  • Rafael Miranda TASSITANO Universidade Federal Rural de Pernambuco
  • Maria Cecília Marinho TENÓRIO Universidade Federal de Pernambuco
  • Poliana Coelho CABRAL Universidade Federal de Pernambuco
  • Giselia Alves Pontes da SILVA Universidade Federal de Pernambuco

Keywords:

Healthy behaviors, Lifestyle, Risk factors

Abstract

Objective
To investigate the cluster of physical inactivity and low fruit and vegetable intake and the associated factors in university students.

Methods
This cross-sectional study included a representative sample (n=717) of Universidade Federal Rural de Pernambuco students. Low fruit and vegetable intake was defined as an intake of less than five servings a day and physical inactivity was defined as exercising less than 150 minutes a week. The independent variables were gender, age, socioeconomic status, school year, shift, and study time. Clustering was determined by comparing the observed prevalence with the expected prevalence for all possible risk-factor combinations. Logistic regression analysis, performed by the software Statistical Package for the Social Sciences 17.0 with a significance level of 5% (p<0.05), considered the presence of both risk behaviors adjusted to the independent variables.

Results
The prevalence of low fruit and vegetable intake was 81.7% (CI95%=78.1-84.3) and of physical inactivity was 65.8% (CI95%=62.2-69.4). Most students (58.6%, CI95%=55.3-62.2) were exposed to both risk factors simultaneously, while 11.0% (CI95%=8.9-13.5) were exposed to neither. Full-time students have a risk 1.45times greater of simultaneous exposure. Juniors and seniors are, respectively, 1.88 and 2.80 times more likely to present both risk behaviors.

Conclusion
Although complex, the behaviors are modifiable, and both the healthy and the unhealthy behaviors tend to cluster. The implementation of an intervention that targets both risk behaviors is needed. Different strategies can be used, such as providing areas for physical activity and for learning about healthy and risk behaviors.

References

World Health Organization. Global health risks: Mortality and burden of disease attributable to selected major risks. Geneva: WHO; 2009 [cited 2012 Jan 10]. Available from: .

World Health Organization. Preventing chronic diseases a vital investment. Geneva: WHO; 2005 [cited 2012 Jan 10]. Avaliable from: .

Mikkila V, Rasanen L, Raitakari OT, Pietinen P, Viikari J. Longitudinal changes in diet from childhood into adulthood with respect to risk of cardiovascular diseases: The cardiovascular risk in young finns study. Eur J Clin Nutr. 2004; 58(7):1038-45. doi: 10.1038/sj.ejcn.1601929

Ness AR, Maynard M, Frankel S, Smith GD, Frobisher C, Leary SD, et al. Diet in childhood and adult cardiovascular and all cause mortality: The Boyd Orr cohort. Heart. 2005; 91(7):894-8. doi: 10.1136/hrt.2004.043489

Alamian A, Paradis G. Correlates of multiple chronic disease behavioral risk factors in Canadian children and adolescents. Am J Epidemiol. 2009; 170(10): 1279-89. doi: 10.1093/aje/kwp284

Chiolero A, Wietlisbach V, Ruffieux C, Paccaud F, Cornuz J. Clustering of risk behaviors with cigarette consumption: A population-based survey. Prev Med. 2006; 42(5):348-53. doi: 10.1016/j.ypmed. 2006.01.011

Fine LJ, Philogene GS, Gramling R, Coups EJ, Sinha S. Prevalence of multiple chronic disease risk factors. 2001. National Health Interview Survey. Am J Prev Med. 2004; 27(2 Suppl):18-24. doi: 10.1016/ j.amepre.2004.04.017

Galan I, Rodriguez-Artalejo F, Tobias A, Diez-Ganan L, Gandarillas A, Zorrilla B. Clustering of behavior related risk factors and its association with subjective health. Gac Sanit. 2005; 19(5):370-8.

Lawlor DA, O’Callaghan MJ, Mamun AA, Williams GM, Bor W, Najman JM. Socioeconomic position, cognitive function, and clustering of cardiovascular risk factors in adolescence: Findings from the Mater University Study of Pregnancy and its outcomes. Psychosom Med. 2005; 67(6):862-8. doi: 10.1097/ 01.psy.0000188576.54698.36

Poortinga W. The prevalence and clustering of four major lifestyle risk factors in an English adult population. Prev Med. 2007; 44(2):124-8. doi: 10.10 16/j.ypmed.2006.10.006

Prochaska JO. Multiple health behavior research represents the future of preventive medicine. Prev Med. 2008; 46(3):281-5. doi: 10.1016/j.ypmed. 2008.01.015

Schuit AJ, van Loon AJ, Tijhuis M, Ocke M. Clustering of lifestyle risk factors in a general adult population. Prev Med. 2002; 35(3):219-24. doi: 10.1006/pmed. 2002.1064

Fine LJ, Philogene GS, Gramling R, Coups EJ, Sinha S. Prevalence of multiple chronic disease risk factors. 2001 National health interview survey. Am J Prev Med. 2004; 27(2 suppl):18-24.

Dodd LJ, Al-Nakeeb Y, Nevill A, Forshaw MJ. Lifestyle risk factors of students: A cluster analytical approach. Prev Med. 2010; 51(1):73-7. doi: 10.10 16/j.ypmed.2010.04.005

Ammerman AS, Lindquist CH, Lohr KN, Hersey J. The efficacy of behavioral interventions to modify dietary fat and fruit and vegetable intake: A review of the evidence. Prev Med. 2002; 35(1):25-41. doi: 10.1006/pmed.2002.1028

Atkins D, Clancy C. Multiple risk factors interventions. Are we up to the challenge? Am J Prev Med. 2004; 27(2 Suppl):102-3. doi: 10.1016/j.amepre.2004. 04.016

Nigg CR, Allegrante JP, Ory M. Theory-comparison and multiple-behavior research: Common themes advancing health behavior research. Health Educ Res. 2002; 17(5):670-9. doi: 10.1093/her/17.5.6 70

Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health. 2010; 31:399-418. doi: 10.1146/annurev. publhealth.012809.103604

Haase A, Steptoe A, Sallis JF, Wardle J. Leisure-time physical activity in university students from 23 countries: Associations with health beliefs, risk awareness, and national economic development. Prev Med. 2004; 39(1):182-90. doi: 10.1016/j.ypmed. 2004.01.028

Harker D, Shama B, Harker M, Reinhard K. Leaving home: Food choice behavior of young German adults. J Bus Res. 2010; 63(2):111-5.

Lori AJ, Scott-Sheldon E, Carey KB, Carey MP. Health behavior and college students: Does Greek affiliation matter? J Behav Med. 2008; 31(1):61-70. doi: 10.1007/s10865-007-9136-1

Lowry R, Galuaka DA, Fulton JE, Wechsler H, Kann L, Collins JL. Physical activity, food choice, and weight management goals and practices among U.S. College Students. Am J Prev Med. 2000; 18(1): 18-27.

Barreto SM, Passos VM, Firmo JO, Guerra HL, Vidigal PG, Lima-Costa MF. Hypertension and clustering of cardiovascular risk factors in a community in Southeast Brazil: The Bambui health and ageing study. Arq Bras Cardiol. 2001; 77(6): 576-81. doi: 10.1590/s0066-782x2001001200 008

Lessa I, Araujo MJ, Magalhaes L, Almeida Filho N, Aquino E, Costa MC. Clustering of modifiable cardiovascular risk factors in adults living in Salvador (BA), Brazil. Rev Panam Salud Publica. 2004; 16(2):131-7.

Pereira JC, Barreto SM, Passos VM. Cardiovascular risk profile and health self-evaluation in Brazil: A population-based study. Rev Panam Salud Publica. 2009; 25(6):491-8.

Tassitano RM, Feitosa WMN, Tenório MCM, San tiago Júnior GL. Simultaneidade de comporta mentos de risco a saúde e fatores associados em trabalhadores da indústria. Rev Bras Ativ Fis Saúde. 2010; 15(1):42-9.

Colares V, França CD, Gonzalez E. Condutas de saúde entre universitários: diferenças entre gêneros. Cad Saúde Pública. 2009; 25(3):521-28. doi: 10.15 90/S0102-311X2009000300007

Slater B, Philippi ST, Fisberg RM, Latorre MRDO. Validation of a semi-quantitative adolescent food frequency questionnaire applied at a public school in Sao Paulo, Brazil. Eur J Clin Nutr. 2003; 57(5): 629-35. doi: 10.1038/sj.ejcn.1601588

Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exer. 2003; 35(8):1381-95.

Associação Brasileira de Empresas de Pesquisa. Critério de Classificação Econômica Brasil. Brasília: Abep; 2010 [acesso 2010 out 18]. Disponível em: .

Marcondelli P, Costa THM, Schmitz BAS. Nível de atividade física e hábitos alimentares de universi tários do 3º ao 5º semestres da área de saúde. Rev Nutr. 2008; 21(1):39-47. doi: 10.1590/S1415- 52732008000100005

Jaime PC, Monteiro CA. Consumo de frutas e horta liças na população adulta brasileira, 2003. Cad Saúde Pública. 2005; 21(Supl 1):S19-S24.

Brasil. Ministério da Saúde. Dia mundial da saúde: perfil da alimentação e atividade física da população brasileira. Brasília: Ministério da Saúde; 2009 [acesso 2011 abr 10]. Disponível em: .

Downloads

Published

2023-04-13

How to Cite

Miranda TASSITANO, R. ., Marinho TENÓRIO, M. C. ., Coelho CABRAL, P. ., & Alves Pontes da SILVA, G. (2023). Clustering of physical inactivity and low fruit and vegetables intake and associated factors in young adults. Brazilian Journal of Nutrition, 27(1). Retrieved from https://periodicos.puc-campinas.edu.br/nutricao/article/view/8281

Issue

Section

ORIGINAL ARTICLE