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A Brief Community-Based Nutrition Education Intervention Combined With Food Baskets Can Increase Fruit and Vegetable Consumption Among Low-Income Latinos

      Abstract

      Objective

      To evaluate the impact of an 8-week community-based nutrition education program combined with food baskets on fruit and vegetable consumption (FVC) among Latinos.

      Design

      Pre-post intervention study assessing perceived barriers, knowledge, food efficacy, food outcomes, and FVC, using mixed methods (quantitative and qualitative).

      Setting

      Participants' recruitment and data collection took place in the Seattle Metropolitan area from September 2012 to July 2013.

      Participants

      Participants' (n = 40) mean age was 37.8 (±10.5) years. Participants were mostly women, from Mexico, uninsured, low income, and overweight or obese.

      Intervention

      Nuestras Comidas was developed through the use of the Social Cognitive Theory and focused on increasing behavioral capability, food efficacy, food outcomes, and FVC.

      Main Outcome Measure

      Dependent variables were knowledge, perceived barriers, food efficacy, food outcomes, and FVC. Independent variable was the intervention (pre-post).

      Statistical Analyses

      A McNemar exact test was computed for categorical variables and Wilcoxon signed-rank test and paired t test for continuous variables. Focus group data were analyzed by identifying common themes.

      Results

      Participation in the intervention was significantly associated with increased knowledge, food efficacy, and vegetable consumption.

      Conclusions and Implications

      A brief nutrition education intervention combined with food baskets can improve healthy eating among Latinos.

      Key Words

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      References

        • Stein C.
        • Colditz G.
        Modifiable risk factors for cancer.
        Br J Cancer. 2004; 90: 299-303
      1. Centers for Disease Control and Prevention. National Diabetes Prevention Program. http://www.cdc.gov/diabetes/prevention/index.html. Accessed November 20, 2015.

      2. Centers for Disease Control and Prevention. Overweight & Obesity: Strategies to Prevent Obesity. http://www.cdc.gov/obesity/strategies/index.html. Accessed November 20, 2015.

        • Centers for Disease Control and Prevention
        The Burden of Chronic Diseases and Their Risk Factors: National and State Perspectives.
        Department of Health and Human Services, Atlanta, GA2004
      3. Office of Disease Prevention and Health Promotion. Healthy People 2020. http://www.healthypeople.gov/. Accessed November 20, 2015.

        • DeNavas-Walt C.
        • Proctor B.D.
        • Smith J.C.
        Income, Poverty, and Health Insurance Coverage in the United States: 2011.
        Census Bureau, U.S.2012: P60-P243
        • Seligman H.K.
        • Laraia B.A.
        • Kushel M.B.
        Food insecurity is associated with chronic disease among low-income NHANES participants.
        J Nutr. 2010; 140: 304-310
        • Ayala G.X.
        • Baquero B.
        • Klinger S.
        A systematic review of the relationship between acculturation and diet among Latinos in the United States: implications for future research.
        J Am Diet Assoc. 2008; 108: 1330-1344
        • Flegal K.M.
        • Carroll M.D.
        • Kit B.K.
        • Ogden C.L.
        Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010.
        JAMA. 2012; 307: 491-497
        • Tsai A.G.
        • Williamson D.F.
        • Glick H.A.
        Direct medical cost of overweight and obesity in the USA: a quantitative systematic review.
        Obes Rev. 2011; 12: 50-61
        • Spencer M.S.
        • Rosland A.-M.
        • Kieffer E.C.
        • et al.
        Effectiveness of a community health worker intervention among African American and Latino adults with type 2 diabetes: a randomized controlled trial.
        Am J Public Health. 2011; 101: 2253-2260
        • Cullen K.W.
        • Lara Smalling A.
        • Thompson D.
        • Watson K.B.
        • Reed D.
        • Konzelmann K.
        Creating healthful home food environments: results of a study with participants in the expanded food and nutrition education program.
        J Nutr Educ Behav. 2009; 41: 380-388
        • Diep C.S.
        • Chen T.-A.
        • Davies V.F.
        • Baranowski J.C.
        • Baranowski T.
        Influence of behavioral theory on fruit and vegetable intervention effectiveness among children: a meta-analysis.
        J Nutr Educ Behav. 2014; 46: 506-546
        • Ockene I.S.
        • Tellez T.L.
        • Rosal M.C.
        • et al.
        Outcomes of a Latino community-based intervention for the prevention of diabetes: the Lawrence Latino Diabetes Prevention Project.
        Am J Public Health. 2012; 102: 336-342
        • Rosas L.G.
        • Thiyagarajan S.
        • Goldstein B.A.
        • et al.
        The effectiveness of two community-based weight loss strategies among obese, low-income US Latinos.
        J Acad Nutr Diet. 2015; 115: 537-550.e532
        • Teddlie C.
        • Tashakkori A.
        Major issues and controveries in the use of mixed methods in the social and behvioral sciences.
        Handbook of Mixed Methods in Social & Behavioral Research, Thousand Oaks, CA2003: 3-50
        • Bandura A.
        Social Foundations of Thought and Action: A Social Cognitive Theory.
        Prentice-Hall, Englewood Cliffs, NJ1986
        • Resnicow K.
        • Wallace D.C.
        • Jackson A.
        • et al.
        Dietary change through African American churches: baseline results and program description of the Eat for Life trial.
        J Cancer Educ. 2000; 15: 156-163
        • Allicock M.
        • Ko L.
        • van der Sterren E.
        • Valle C.G.
        • Campbell M.K.
        • Carr C.
        Pilot weight control intervention among US veterans to promote diets high in fruits and vegetables.
        Prev Med. 2010; 51: 279-281
        • Campbell M.K.
        • McLerran D.
        • Turner-McGrievy G.
        • et al.
        Mediation of adult fruit and vegetable consumption in the National 5 A Day for Better Health community studies.
        Ann Behav Med. 2008; 35: 49-60
        • Ko L.K.
        • Campbell M.K.
        • Lewis M.A.
        • Earp J.A.
        • Devellis B.
        Information processes mediate the effect of a health communication intervention on fruit and vegetable consumption.
        J Health Commun. 2011; 16: 282-299
        • Gao X.
        • Bermudez O.I.
        • Tucker K.L.
        Plasma C-reactive protein and homocysteine concentrations are related to frequent fruit and vegetable intake in Hispanic and non-Hispanic white elders.
        J Nutr. 2004; 134: 913-918
        • Subar A.F.
        • Heimendinger J.
        • Patterson B.H.
        • Krebs-Smith S.M.
        • Pivonka E.
        • Kessler R.
        Fruit and vegetable intake in the United States: the baseline survey of the five a day for better health program.
        Am J Health Promot. 1995; 9: 352-360
        • Anderson-Bill E.S.
        • Winett R.A.
        • Wojcik J.R.
        Social cognitive determinants of nutrition and physical activity among web-health users enrolling in an online intervention: the influence of social support, self-efficacy, outcome expectations, and self-regulation.
        J Med Internet Res. 2011; 13: e28
        • Anderson E.S.
        • Winett R.A.
        • Wojcik J.R.
        Self-regulation, self-efficacy, outcome expectations, and social support: social cognitive theory and nutrition behavior.
        Ann Behav Med. 2007; 34: 304-312
      4. World Health Organization. BMI Classification. http://apps.who.int/bmi/index.jsp?introPage=intro_3.html. Accessed November 20, 2015.

        • Benjamini Y.
        • Hochberg Y.
        Controlling the false discovery rate: a practical and powerful approach to multiple testing.
        J R Stat Soc Series B Stat Methodol. 1995; : 289-300
        • Glickman M.E.
        • Rao S.R.
        • Schultz M.R.
        False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies.
        J Clin Epidemiol. 2014; 67: 850-857
        • Morgan D.L.
        Qualitative content analysis: a guide to paths not taken.
        Qual Health Res. 1993; 3: 112-121
        • Creswell J.W.
        Qualitative Inquiry and Research Design: Choosing Among Five Traditions.
        Sage, Thousand Oaks, CA1998
        • Denzin N.
        • Lincoln Y.
        Handbook of Qualitative Research.
        2nd ed. Sage Publications, Thousand Oaks, CA2000
        • Miles M.B.
        • Huberman A.M.
        Qualitative Data Analysis: An Expanded Sourcebook.
        Sage, Thousand Oaks, CA1994
      5. United States Department of Agriculture. Choose My Plate. http://www.choosemyplate.gov/. Accessed November 20, 2015.

        • Anderson E.S.
        • Winett R.A.
        • Wojcik J.R.
        • Williams D.M.
        Social cognitive mediators of change in a group randomized nutrition and physical activity intervention social support, self-efficacy, outcome expectations and self-regulation in the Guide-to-Health Trial.
        J Health Psychol. 2010; 15: 21-32
        • Benton D.
        Role of parents in the determination of the food preferences of children and the development of obesity.
        Int J Obes. 2004; 28: 858-869
        • Allen J.O.
        • Griffith D.M.
        • Gaines H.C.
        “She looks out for the meals, period”: African American men's perceptions of how their wives influence their eating behavior and dietary health.
        Health Psychol. 2013; 32: 447-455
        • Bove C.F.
        • Sobal J.
        • Rauschenbach B.S.
        Food choices among newly married couples: convergence, conflict, individualism, and project.
        Appetite. 2003; 40: 25-41
        • Girard A.W.
        • Olude O.
        Nutrition education and counselling provided during pregnancy: effects on maternal, neonatal and child health outcomes.
        Paediatr Perinat Epidemiol. 2012; 26: 191-204
        • RTI International Center for Health and Environmental Modeling
        Current and Prospective Scope of Hunger and Food Security in America: A Review of Current Research.
        RTI International, Research Triangle Park, NC2014
        • Dannefer R.
        • Abrami A.
        • Rapoport R.
        • Sriphanlop P.
        • Sacks R.
        • Johns M.
        A mixed-methods evaluation of a SNAP-Ed farmers' market-based nutrition education program.
        J Nutr Educ Behav. 2015; : 47516-47525.e1
        • Martinez H.
        • Palar K.
        • Linnemayr S.
        • et al.
        Tailored nutrition education and food assistance improve adherence to HIV antiretroviral therapy: evidence from Honduras.
        AIDS Behav. 2014; 18: 566-577
        • Serrano C.
        • Laporte R.
        • Ide M.
        • et al.
        Family nutritional support improves survival, immune restoration and adherence in HIV patients receiving ART in developing country.
        Asia Pac J Clin Nutr. 2010; 19: 68
        • World Health Organization
        Nutrition Counseling, Care and Support for HIV-Infected Women: Guidelines on HIV-Related Care, Treatment and Support for HIV-Infected Women and Their Children in Resource Constrained Settings.
        World Health Organization, Geneva, Switzerland2004