Elsevier

Journal of Nutrition Education and Behavior

Volume 45, Issue 6, November–December 2013, Pages 676-682
Journal of Nutrition Education and Behavior

Research Article
Understanding African American Women's Decisions to Buy and Eat Dark Green Leafy Vegetables: An Application of the Reasoned Action Approach

https://doi.org/10.1016/j.jneb.2013.07.013Get rights and content

Abstract

Objective

Examine intentions to buy and eat dark green leafy vegetables (DGLV).

Design

Cross-sectional survey assessing demographics, behavior, intention, and Reasoned Action Approach constructs (attitude, perceived norm, self-efficacy).

Setting

Marion County, Indiana.

Participants

African American women responsible for buying and preparing household food.

Main Outcome Measure(s)

Reasoned Action Approach constructs explaining intentions to buy and eat DGLV.

Analysis

Summary statistics, Pearson correlations, and multiple regression analyses.

Results

Among participants (n = 410, mean age = 43 y), 76% and 80%, respectively, reported buying and eating DGLV in the past week. Mean consumption was 1.5 cups in the past 3 days. Intentions to buy (r = 0.20, P < .001) and eat (r = 0.23, P < .001) DGLV were positively associated with consumption. Reasoned Action Approach constructs explained 71.2% of the variance in intention to buy, and 60.9% of the variance in intention to eat DGLV. Attitude (β = .63) and self-efficacy (β = .24) related to buying and attitude (β = .60) and self-efficacy (β = .23) related to eating DGLV explained significant amounts of variance in intentions to buy and eat more DGLV. Perceived norm was unrelated to either intention to buy or eat DGLV.

Conclusions and Implications

Interventions designed for this population of women should aim to improve DGLV-related attitudes and self-efficacy.

Introduction

Increased consumption of fruits and vegetables (FV) may help decrease disparities in diet-related health outcomes.1 However, vegetable consumption in the US is low, and only 26% of adults meet national recommendations.2, 3 Vegetable consumption is even lower among minority populations (ie, Mexican Americans and African Americans [AA] relative to Whites).4 Vegetables in the “dark green” group, as identified by the US Department of Agriculture, are both cruciferous and leafy (eg, spinach, broccoli, romaine lettuce, watercress, Swiss chard, kale, collard, and mustard greens). Although they are the most nutritious group, dark green vegetables are also the least consumed.5, 6, 7 They are rich sources of vitamins A and C, folate, and β-carotene, and they provide numerous health benefits (eg, reduced risk of cardiovascular diseases).7, 8, 9, 10 The importance of consuming dark green leafy vegetables (DGLV) is highlighted in the US Department of Health and Human Services National Healthy People 2020 policy statement (ie, increase the proportion of dark green vegetables consumed by Americans) and the Dietary Guidelines for Americans (ie, women should consume 1.5 cups of DGLV per week, and men should consume 1.5–2 cups per week).5, 8, 11

The diets of AA have been of particular interest to researchers; Kirkpatrick, Dodd, Reedy, and Krebs-Smith posited that such racial minority populations could potentially benefit from eating more DGLV.4, 12, 13, 14, 15 There is no single “typical” eating pattern to which all AA ascribe,13 and studies indicate that DGLV are common in the AA culture and have been since the Atlantic slave trade. Specifically, during this time, dark green vegetables (eg, spinach and various types of greens) and other vegetables (eg, sweet potatoes, okra, squash) were brought from Africa to America.16, 17, 18, 19 Although DGLV remain an important and cultural component of some AA diets, determinants of their consumption have yet to be fully understood.20, 21, 22 To identify these determinants, it has been recommended that DGLV be studied separately from fruit and other types of vegetables (eg, red, orange), a practice not often reported in the literature.23

Although an examination of DGLV eating behaviors is important, there is an expressed need to examine behavioral domains beyond eating,14 given that eating is the most distal behavior relative to buying and preparing food.24 African American women have been described as being household “gatekeepers” who are primarily responsible for buying and preparing food.25 They often take pride in this role and have intentions to share food among family, friends, and those who are in need.26 These notions support findings that characterize AA women as dietary change agents who influence familial consumption of healthful food such as FV.12, 13, 27, 28 Therefore, the current study sought to expand the DGLV evidence base by using behavior change theory to explore intrapersonal factors associated with intentions to buy and eat more DGLV among a sample of midwestern AA women who buy and prepare household food.

The Reasoned Action Approach (RAA) is a theoretical model of behavior change that has been used to identify beliefs underlying people's behavioral decisions. The theory is the latest formulation of the Theory of Planned Behavior, and it assumes that one's intention is the most immediate predictor of behavior.29 According to the RAA, there are 3 global constructs that determine one's intention to perform a behavior: (1) attitude toward a behavior; (2) perceived norms about performing a behavior; and (3) self-efficacy about performing a behavior.29, 30 The RAA and its constructs have been used to understand behaviors associated with obesity and chronic disease prevention,31, 32 as well as determinants of AA fruit and vegetable consumption.14, 33, 34 Such studies have supported the use of RAA constructs in explaining general variations in FV consumption among AA, but few studies have focused specifically on DGLV in this population.

In this study, the RAA was used to understand a sample of AA women's intentions to perform 2 behaviors: (1) eat more cups of DGLV each week over the next 3 months; and (2) buy more DGLV each week over the next 3 months. When using the RAA, behaviors are defined in terms of the target, action, context, and time.35 Intention to eat and intention to buy are the chosen action elements. “More” (vs a specific number of cups) was selected as the target to reflect Healthy People 2020's recommendation to eat a higher proportion of DGLV.11 Given that DGLV recommendations are based on weekly consumption, “each week” is the context.5 “Three months,” which has been used in previous RAA research, was chosen as an appropriate time interval to initiate behavior change.20, 22

Section snippets

Methods

Participants were recruited from 8 local community and professional organizations, health clinics, and faith-based institutions. Recruitment methods varied by site and included personal contact and flyers at sites and announcements at meetings and services. Inclusion criteria were: AA; female; 18 years of age or older; resident of Marion County, Indiana; and primarily responsible for buying and preparing household food. Eligible women read and signed the study consent form. Participants were

Participants

A convenience sample of 410 women with a mean age of 43 years (SD = 15.7) consented to be in the study. Additional participant and household data are in Table 1.

Purchasing and Consumption

Seventy-six percent of women in the study reported that they had bought DGLV within the past 7 days. On average, participants ate 1.5 cups of DGLV in the past 33 days, and 80% ate at least 1 type of DGLV in the past 7 days. Two thirds of participants indicated that members of their household eat their primary meal of the day together.

Discussion

In this sample of low- to moderate-income AA women residing in Marion County, Indiana (located in the midwestern region of the US), results indicated that most participants (80%) ate DGLV in the past 7 days and, on average, reported adequate intakes (ie, 1.5 cups in the past 3 days). Female sex and higher education level (ie, 57% completed at least 1 year of college) have been associated with general FV consumption in other samples.38, 39 As previously noted, studies have identified DGLV to be

Uncited table

Table 2.

Acknowledgments

The authors would like to acknowledge Millicent Fleming-Moran, PhD, and staff at the Marion County Health Department; Ruth Lambert, PhD; LaWanda Lambert Girton; Terry Curtis; Dr. Linda Johnson; Brittany Baird; and Darleesa Gates-Doss, PhD, MPH for assistance in accessing the target population, the provision of resources, and/or technical assistance. Dr. Sheats is supported by US Public Health Service grant T32 HL007034 from the National Heart, Lung, and Blood Institute and Stanford University.

References (55)

  • R.P. Bogers et al.

    Explaining fruit and vegetable consumption: the theory of planned behaviour and misconception of personal intake levels

    Appetite

    (2004)
  • J. Brug et al.

    Predicting fruit consumption: cognitions, intention, and habits

    J Nutr Educ Behav

    (2006)
  • J.A. Satia et al.

    Psychosocial factors and dietary habits associated with vegetable consumption

    Nutrition

    (2002)
  • M. Yeh et al.

    Barriers and facilitating factors affecting fruit and vegetable consumption

  • J.L. Brown et al.

    Intra-family role expectations and reluctance to change identified as key barriers to expanding vegetable consumption patterns during interactive family-based program for Appalachian low-income food preparers

    J Acad Nutr Diet

    (2012)
  • E.B. Lynch et al.

    Concepts of healthful food among low-income African American women

    J Nutr Educ Behav

    (2012)
  • M. Reicks et al.

    Use of the think aloud method to examine fruit and vegetable purchasing behaviors among low-income African American women

    J Nutr Educ Behav

    (2003)
  • G.L. Evans et al.

    Determinants of low-fat eating behaviors among midlife African American women

    J Nutr Educ Behav

    (2009)
  • J.C. Celentano

    Increased fruit and vegetable intake may reduce the nutrition-related health disparities in African Americans

    Nutr Rev

    (2009)
  • State specific trends in fruit and vegetable consumption, 2000-2009

    MMWR Morb Mortal Wkly Rep

    (2009)
  • S.I. Kirkpatrick et al.

    Income and race/ethnicity are associated with adherence to food-based dietary guidance among US adults and children

    J Acad Nutr Diet

    (2012)
  • Dietary Guidelines for Americans, 2010

    (2010)
  • US Department of Agriculture. Inside the pyramid. Choose My Plate....
  • M.S. Butt et al.

    Nutritional profile of vegetables and its significance to human health

  • US Department of Health and Human Services. Office of Disease Prevention and Health Promotion. Healthy People 2020....
  • D.C. James

    Factors influencing food choices, dietary intake, and nutrition-related attitudes among African Americans: application of a culturally sensitive model

    Ethn Health

    (2004)
  • C.W. O'Neal et al.

    Eating behaviors of older African Americans: an application of the Theory of Planned Behavior

    The Gerontologist

    (2012)
  • Cited by (15)

    • Pregnant Smokers’ Intention to Switch From Cigarettes to E-Cigarettes: A Reasoned Action Approach

      2021, Women's Health Issues
      Citation Excerpt :

      Value increases indicated an expectation to resume smoking after pregnancy more quickly. The RAA items were adapted from other RAA studies that measured a myriad of health behaviors (Dobbs et al., 2019; 2020; Geshnizjani, Jozkowski, & Middlestadt, 2013; Hinsz & Nickell, 2015; Sable, Schwartz, Eleanor, & Lisbon, 2006; Sheats, Middlestadt, Ona, Juarez, & Kolbe, 2013). All items were measured using the timeframe “throughout the remainder of my pregnancy.”

    • Effectiveness of persuasive frames in advocacy videos

      2021, Public Relations Review
      Citation Excerpt :

      In response to these criticisms, contemporary TPB work includes an assumption of theoretical sufficiency, which argues that the influence of all forms of behavioral interventions (communication or otherwise) are mediated by attitudes, subjective norms, and perceived behavioral control (Hennessy et al., 2010; Fishbein & Ajzen, 2011). While this extension has been tested in communication contexts related to health behaviors (e.g., McKeever & McKeever, 2017; Sheats, Middlestadt, Ona, Juarez, & Kolbe, 2013), exploration into the role of message framing of advocacy videos remains untested. By employing both a negatively charged emotional frame (fear) and non-emotional pleasant frame (humor) in a study employing experimental design, this study seeks to both test the sufficiency assumption and address gaps in the literature.

    • Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price

      2020, Tourism Management Perspectives
      Citation Excerpt :

      With better understanding of the impact of OCR and the unique factors that will affect hotel bookings, hotel properties will have the ability to better position themselves in the market, leverage OCR and customer comments to their advantage, and exploit unknown existing qualities. It is clear that much of the research concentrating on the subjects of online commerce (Hansen, Jensen, & Solgaard, 2004), consumer behavior (Bagozzi, Wong, Abe, & Bergami, 2000; Kim, Kim, & Goh, 2011; Lo & Qu, 2015; Sheats, Middlestadt, Ona, Juarez, & Kolbe, 2013; Tajuddin, Zainol, & Sahil, 2014), and online content sharing (Branley & Covey, 2018), make use of the theory of reasoned action. Likewise, the use of this model has been identified as suitable for the current study.

    • Understanding international tourists' attitudes towards street food in Phuket, Thailand

      2017, Tourism Management Perspectives
      Citation Excerpt :

      The service quality dimensions included the speed and efficiency of the service staff, their friendliness and disposition to help (Ryu et al., 2012) and the respondent's perception of the hygiene of the physical environment including the cleanliness of the establishment and the staff (Juric & Worsley, 1998; Sulaiman & Haron, 2013). The second part of the questionnaire was designed to obtain information about past travel behavior and experience, future behavioral intentions, subjective norms and perceived behavioral control (Yazdanpanah & Forouzani, 2015; Sheats et al., 2013; Bhuyan, 2010), The last part covered the respondent's socio-demographic characteristics (S. Seo, Kim, Oh, & Yun, 2013; Zoltan & Masiero, 2012; Chen & Tsai, 2007). This study was implemented on Phuket Island, one of the most important tourist destinations of Thailand, from December 2015 until January 2016.

    View all citing articles on Scopus
    View full text