Stages of change and factors associated with misperceived eating behavior in obese individuals
Keywords:
Diet, fat-restricted, Eating behavior, Fruit, Obesity, VegetableAbstract
Objective
To evaluate the stages of behavior change related to fat and fruit/vegetable intakes and the factors associated with misperceived eating behavior (pseudo-maintenance).
Methods
This cross-sectional study collected sociodemographic, socioeconomic, health, and food intake data from obese individuals (n=103) aged ≥20 years. Stages of behavior change according to the Transtheoretical Model were measured for fat and fruit/vegetable intakes. The pseudo-maintenance stage was reclassified in subjects in the action/maintenance stage who had inappropriate food habits. Multiple logistic regression models were proposed to assess the factors associated with misperceptions.
Results
The prevalences of pseudo-maintenance for fat and fruit/vegetable intakes were 23.3 and 19.4%, respectively. The factors associated with misperceived fat intake were overconsumption of saturated fatty acids (OR=3.84; 1.18-12.56) and age (OR=1.06; 1.02-1.11), and with fruit and vegetable intake, income (OR=0.99; 0.98-0.99).
Conclusion
The results reveal that perceived eating behavior and actual food intake diverge from anthropometric and health data, signaling the need of different intervention strategies to raise awareness in this group for the need of modifications.
References
World Health Organization. Global status report on noncommunicable diseases. Geneva: WHO; 2010 [cited 2013 Jan 6]. Available from: http://whqlibdoc.who.int/publications/2011/978924 0686458_eng.pdf
Organización Pan-Americana de la Salud. Melhoria dos cuidados crônicos por meio das redes de aten ção primária à saúde. Washington (DC): OPAS; 2012.
Oliveira ML, Santos LMP, Silva EN. Bases meto dológicas para estudos de custos da doença no Brasil. Rev Nutr. 2014; 27(5):585-95. http://dx. doi.org/10.1590/1415-52732014000500007
Bahia L, Coutinho ES, Barufaldi LA, Abreu GA, Malhão TA, de Souza CP, et al. The costs of overweight and obesity-related diseases in the Brazilian public health system: Cross-sectional study. BMC Public Health. 2012; 12(1):440-56.
Ross R, Després JP. Abdominal obesity, insulin resistance, and the metabolic syndrome: Contribution of physical activity/exercise. Obesity. 2009; 17(Suppl. 3):S1-2.
Tierney AC, McMonagle J, Shaw DI, Gulseth HL, Helal O, Saris WH, et al. Effects of dietary fat modification on insulin sensitivity and on other risk factors of the metabolic syndrome FLIPGENE: A European randomized dietary intervention study. Int J Obesity. 2011; 35(6):800-9.
Healthy People. Nutrition and weight status. Washington (DC): U.S. Department of Health and Services; 2012 [cited 2013 Dec 7]. http://www.healthypeople.gov/2020/topicsobjectives2020/ ebr.aspx?topicId=29
Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997; 12(1):38-48.
Prochaska JO, Velicer WF, Rossi JS, Redding CA, Greene GW, Rossi SR, et al. Multiple risk expert systems interventions: Impact of simultaneous stage-matched expert system interventions for smoking, high-fat diet, and sun exposure in a population of parents. Health Psychol. 2004; 23(5):503-16.
Prochaska JO, Velicer WF, Redding C, Rossi JS, Goldstein M, DePue J, et al. Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer, and receive regular mammograms. Prev Med. 2005; 41(2):406-16.
Velicer WF, Prochaska JO, Redding CA, Rossi JS, Sun X, Rossi SR, et al. Efficacy of expert system interventions for employees to decrease smoking, dietary fat, and sun exposure. Int J Behav Med. 2004; 11(S1):277.
Greene GW, Redding CA, Prochaska JO, Paiva AL, Rossi JS, Velicer WF, et al. Baseline transtheoretical and dietary behavioral predictors of dietary fat moderation over 12 and 24 months. Eat Behav. 2013; 14(1):255-62.
Plotnikoff RC, Hotz SB, Johnson ST, Hansen JS, Birkett NJ, Leonard LE, et al. Readiness to shop for low-fat foods: A population study. J Am Diet Assoc. 2012; 109(8):1392-7.
Toral N, Slater B. Transtheoretical model approach in eating behavior. Ciênc Saúde Colet. 2007; 12(6):1641-50.
Steptoe A, Wijetunge S, Doherty S, Wardle J. Stages of change for dietary fat reduction: Associations with food intake, decisional balance and motives for food choice. Health Edu J. 1996; 55:108-22.
Costa BVL, Mendonça RD, Santos LC, Peixoto SV, Alves M, Lopes ACS. Academia da Cidade: um serviço de promoção da saúde na rede assistencial do Sistema Único de Saúde. Ciênc Saúde Colet. 2013; 18(1):95-102.
Moreira RAM, Santos LC, Lopes ACS. A qualidade da dieta de usuários de Serviço de Promoção de Saúde difere do comportamento alimentar obtido pelo modelo transteórico. Rev Nutr. 2012; 25(6):719-30. http://dx.doi.org/10.1590/S1415-5 2732012000600004
World Health Organization. Physical status: The use and interpretation of anthropometry. Technical Report Series, nº 854. Geneva: WHO; 1995.
Lopes ACS, Ferreira AD, Santos LC. Atendimento nutricional na atenção primária à saúde: proposição de protocolos. Nutr Pauta. 2010; 101:40-4.
Institute of Medicine. Dietary Reference Intakes: The essential guide to nutrient requirements. Washington (DC): IOM; 2006.
Sociedade Brasileira de Cardiologia. I Diretriz brasi leira de diagnóstico e tratamento da síndrome metabólica. Arq Bras Cardiol. 2005; 84(Supl. 1):1-27.
Sutton K, Logue E, Jarjoura D, Baughman K, Smucke W, Capers C. Assessing dietary and exercise stage of change to optimize weight loss interventions. Obes Res. 2003; 11(5):641-52.
Greene GW, Rossi SR. Stages of change reducing dietary fat intake over 18 months. J Am Diet Assoc. 1998; 18(5):535-6.
Kristal AR, Glanz K, Curry SJ, Patterson RE. How can stages of change be best used in dietary interventions? J Am Diet Assoc. 1999; 99(6):679-84.
Di Noia J, Thompson D. Processes of change for increasing fruit and vegetable consumption among economically disadvantaged African American adolescents. Eat Behav. 2012; 13(1):58-61. http://dx. doi.org/10.1016/j.eatbeh.2011.10.001
World Health Organization. Fruit and vegetable promotion initiative: A meeting report. Geneva: WHO; 2003 [cited 2013 Aug 6]. Available from: http:// www.who.int/dietphysicalactivity/publications/f&v_ promotion_initiative_report.pdf
Ballard B, Crino MD, Rubenfeld S. Social desirability response bias and the Marlowe-Crowne Social Desirability Scale. Psychol Rep. 1988; 63(1):227-37.
Mendonça JR, Amantino-de-Andrade J. Geren ciamento de impressões: em busca da legitimidade organizacional. Rev Adm Empres. 2003; 43(1):36-48. http://dx.doi.org/10.1590/S0034-75902003000 100005
Instituto Brasileiro de Geografia e Estatística. Pes quisa de Orçamentos Familiares - POF 2008-2009: análise do consumo alimentar pessoal no Brasil. Rio de Janeiro: IBGE; 2011.
Logue EE, Jarjoura DG, Sutton KS, Smucker WD, Baughman KR, Capers CF. Longitudinal relationship between elapsed time in the action stages of change and weight loss. Obes Res. 2004; 12(9):1499-508.
Monteiro CA, Levy RB, Claro RM, de Castro IR, Cannon G. Increasing consumption of ultra-processed foods and likely impact on human health: Evidence from Brazil. Public Health Nutr. 2010; 14(1):5-13.
Bueno JM, Leal FS, Saquy LPL, Santos CB, Ribeiro RPS. Educação alimentar na obesidade: adesão e resultados antropométricos. Rev Nutr. 2011; 24(4):575-84. http://dx.doi.org/10.1590/S1415-52 732011000400006
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Lydiane Bragunci BEDESCHI, Aline Cristine Souza LOPES, Luana Caroline dos SANTOS
This work is licensed under a Creative Commons Attribution 4.0 International License.
