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. 2022 Mar 22;8:23337214211057730. doi: 10.1177/23337214211057730

Fruit and Vegetable Intake Among Older African American and Hispanic Adults With Cardiovascular Risk Factors

Lucy W Kibe 1,, Mohsen Bazargan 1
PMCID: PMC8943447  PMID: 35340364

Abstract

African Americans and Hispanics are disproportionately burdened by cardiovascular risk factors including hypertension, diabetes mellitus, and obesity. There is evidence that fruits and vegetables have protective benefits for cardiovascular health. Factors associated with fruit and vegetable intake among older minority adults are not well established. A cross-sectional analysis of African American and Hispanic adults >55 years with diagnosis of hypertension and/or diabetes was conducted. Daily intake of fruits and vegetables was analyzed by socio-demographic, health status, health behaviors, and access to fruits and vegetables. 77% of participants did not meet the United States Department of Agriculture ≥5 a day serving guidelines. Fruit and vegetable consumption was not associated with having hypertension or diabetes. Body mass index >25 and regular exercise were significantly associated with more vegetable intake, but not fruit. African Americans consumed significantly less fruits and vegetables than Hispanics. Among those with access to fruits and vegetables, 78% did not meet the guidelines. Many older African American and Hispanic adults with cardiovascular disease risk factors do not meet the fruit and vegetable intake guidelines. Inadequate intake is worse among African Americans, sedentary, and non-overweight/obese adults. Studies are needed to understand the barriers associated with fruit and vegetable intake in this population.

Keywords: fruits and vegetables, older minorities, health disparities, food access, cardiovascular disease

Introduction

Despite innovative medical advances in prevention and treatment, cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality in the United States (US) (CDC, 2021). Older adults, the fastest growing segment of the US population, have the highest risk for CVD mortality (CDC). In addition to age, hypertension, diabetes and obesity are well known risk factors for CVD.

In the United States, health disparities in CVD risk factors abound. Hypertension prevalence is higher among non-Hispanic African Americans (AAs) (40.3%) than Hispanics and non-Hispanic white (each 27.8%) (Fryar et al., 2015). Hispanics have the highest prevalence rate of diabetes (12.5%), followed by non-Hispanic AA (11.7%), and last, non-Hispanic whites (7.5%) (CDC, 2020). Non-Hispanic AAs (49.6%) have the highest prevalence of obesity, followed by Hispanics (44.8%), non-Hispanic whites (42.2%), and non-Hispanic Asians (17.4%) (Hales et al., 2017).

Adoption and maintenance of recommended health behaviors, including consuming a diet rich in fruits and vegetables, plays an important role in the prevention of CVD risk among persons living with hypertension and/or diabetes (Virani et al., 2020). Higher fruit and vegetable intake lowers coronary heart disease risk (He et al., 2007) while inadequate intake contributes to coronary heart disease (Dauchet et al., 2006; Dauchet et al., 2004; He et al., 2007; Micha et al., 2017; Miller et al., 2017) and stroke (Dauchet et al., 2005; He et al., 2006; Micha et al., 2017). Additionally, diets rich in fruits and vegetables are associated with lower CVD mediating factors including blood pressure (Appel et al., 1997; Steffen et al., 2005), diabetes incidence (Ford & Mokdad, 2001) and markers (HgbA1c) (Sargeant et al., 2001), and body mass index (BMI) (He et al., 2004; Kahn et al., 1997). However, older adults do not consume adequate fruits and vegetables due to age-related barriers such as functional limitations, physiological compromise (e.g., digestive and oral problems), cognitive decline, social isolation, and economic constraints (Nicklett & Kadell, 2013).

Although the biological mechanisms are not fully understood, fruits and vegetables contain vitamins, minerals, and phytochemicals which can exert cardiovascular protective effects (Bazzano et al., 2003; Boeing et al., 2012). Fruits and vegetables contain vitamin C, vitamin E, magnesium, folate, potassium, and other elements with antioxidant properties. Independently or jointly, these compounds have been reported to increase insulin sensitivity, increase glucose tolerance, and lower blood pressure (Ekmekcioglu et al., 2016; Grillo et al., 2019). The low dietary glycemic index, low energy density, and high fiber properties of fruits and vegetables also contribute to lowering overall CVD risk.

In recognition of the benefits of fruits and vegetable intake to prevent CVD, the United States Department of Agriculture guidelines for Americans recommends a diet with two servings of fruits and three servings of vegetables a day (CDC, 2011). However, only 10.2% and 9.3% of all Americans meet the recommendation for fruit and vegetable intake, respectively (Lee-Kwan et al., 2017). Few studies have investigated the status and correlates of fruit and vegetable intake among older AA and Hispanic adults in under-resourced communities (Nicklett & Kadell, 2013).

The objective of this study was to characterize factors associated with fruit and vegetable intake among older AA and Hispanic adults with CVD risk factors (hypertension, diabetes, and/or obesity). Additionally, we examined whether access to fruits and vegetables was associated with intake.

Methodology

Study Sample: Participants (n = 505) were recruited from senior centers, senior housing centers, faith-based organizations, and apartment complexes in the South Los Angeles County (SoLA) using convenience and snowball sampling between 2016 and 2020.

Home to over one million residents, SoLA has the highest population of Hispanics (68%) and AA (27%) in California and considerably higher than the United States (approximately 18% and 13%, respectively). Residents of SoLA are disproportionately harmed by health disparities compared to the rest of Los Angeles County (Los Angeles County Department of Public Health, Office of Health Assessment and Epidemiology. Key Indicators of Health by Service Planning Area; January 2017).

Inclusion and Exclusion Criteria: The study included participants who self-identified as non-Hispanic AA or Hispanic (any race), age >55 years and self-reported a diagnosis of diabetes and/or hypertension. Institutionalized or cognitively impaired participants were excluded.

Measurements

Socio-demographic variables

Participant self-reported their age, gender, race, ethnicity, education attainment, household income, and living arrangements.

Health status

Self-rated health and diagnosis of diabetes and hypertension were self-reported. Body mass index was calculated from self-reported weight and height.

Health behaviors

Past or current cigarette smokers were coded as smokers. Alcohol was assessed by the number of drinks per day, week, month, or year. Exercise was assessed by how often participants walked non-stop at least one mile per day, week, month, year and categorized to “Rarely (0–1 time a week); two to four times a week (occasionally); and every day (regularly).”

Fruit and vegetable consumption and access

Participants reported the number of servings of fruits and the number of vegetables they ate every day.

We measured access to fruits and vegetables with the question “Are there any grocery stores within walking distance or an easy bus ride?” Those who answered “yes” were asked “Does your grocery store carry a lot of vegetables and fruits?”

Data Analysis

We used SPSS 24.0 (IBM Inc, NY, US) to perform our analysis which had three parts. The first section was a descriptive analysis of all participants. This descriptive work reported means and SD for continuous measures and frequency and percentages for the categorical variables. Next, we conducted Pearson correlation coefficients, independent t-test, and ANOVA to examine the bivariate association between fruit and vegetable intake and all other independent variables. Finally, multivariate linear analyses were performed to determine association between the consumption of fruits, vegetables and both fruits and vegetables (fruit + vegetable) and all covariates. A p-value of less than 0.05 was considered significant.

Results

Participant Characteristics

Of the 505 participants (Table 1), about one-third were male, and about one-third identified as Hispanic. Mean age was 69.9 years (range 55–96). More than 40% did not have a high school diploma. The majority of our participants (80%) reported a monthly income of less than US$1500. About 60% lived alone.

Table 2.

Bivariate Analysis of Consumption of Fruit and Vegetable among Underserved African American and Hispanic Older Adults with Cardiovascular Risk Factors (n = 505).

Independent variables Vegetables Fruits Fruits and Vegetables
Mean ± SD Sig % Not meeting guidelines Mean ± SD Sig % Not meeting guidelines Mean ± SD Sig % Not meeting both guidelines
All participants 1.93 ± 1.167 - 71.8 2.04 ± 1.221 - 36.6 5.95 ± 1.952 - 77.1
Race
 African American 1.82 ± 1.142 0.001 75.9 1.87 ± 1.251 0.001 43.9 5.57 ± 1.851 0.001 81.8
 Hispanic 2.18 ± 1.185 63.0 2.41 ± 1.070 20.8 6.57 ± 1.942 66.9
Gender
 Male 1.79 ± 1.169 0.043 76.9 2.03 ± 1.221 0.176 37.8 5.79 ± 1.893 0.853 81.5
 Female 2.01 ± 1.160 69.1 2.05 ± 1.224 36.0 6.04 ± 1.985 74.8
Age (years)
 55–64 1.92 ± 1.184 0.704 72.5 2.16 ± 1.343 0.342 32.7 6.05 ± 2.125 0.628 75.2
 65–74 1.98 ± 1.192 71.8 2.01 ± 1.156 38.3 5.96 ± 1.877 78.7
 75 + 1.87 ± 1.120 71.6 1.96 ± 1.170 39.2 5.83 ± 1.863 77.7
Education
 No HS diploma 2.00 ± 1.146 0.277 71.9 2.21 ± 1.173 0.014 30.2 6.19 ± 1.867 0.129 76.9
 HS diploma and higher 1.88 ± 1.180 71.8 1.93 ± 1.243 41.0 5.79 ± 1.99 77.3
Household monthly income
 Less than US$1500 1.89 ± 1.173 0.155 72.9 1.99 ± 1.226 0.192 37.6 5.87 ± 1.93 0.097 78.4
 US$1500 + 2.09 ± 1.164 65.1 2.19 ± 1.232 36.0 6.26 ± 2.06 70.9
Living alone
 No 2.12 ± 1.196 0.004 67.0 2.21 ± 1.188 0.072 31.5 6.30 ± 2.002 0.001 70.6
 Yes 1.81 ± 1.132 75.1 1.93 ± 1.233 40.1 5.72 ± 1.886 81.6
Exercise
 Regularly 2.15 ± 1.156 0.005 64.3 2.20 ± 1.315 0.102 35.0 6.31 ± 1.968 0.007 72.1
 Occasionally 2.11 ± 1.117 69.1 2.15 ± 1.145 27.3 6.22 ± 1.892 72.7
 Rarely 1.79 ± 1.166 76.1 1.95 ± 1.184 39.2 5.72 ± 1.929 80.5
Smoking
 Never 2.10 ± 1.128 0.011 67.4 2.19 ± 1.174 0.024 30.4 6.27 ± 1.851 0.003 72.8
 Current or past 1.83 ± 1.181 74.6 1.93 ± 1.243 41.2 5.74 ± 1.982 80.0
Alcohol consumption
 No/light drinker 1.92 ± 1.153 0.507 72.5 2.03 ± 1.204 0.788 36.8 5.93 ± 1.1925 0.542 77.7
 Drinks regularly 2.05 ± 1.290 65.1 2.09 ± 1.377 37.2 6.14 ± 2.111 72.1
Access to fruits and vegetables
 With difficulty 1.97 ± 1.124 0.456 68.8 2.26 ± 1.174 0.090 27.3 6.23 ± 1.986 0.169 72.7
 Without difficulty 1.92 ± 1.176 72.4 2.00 ± 1.227 38.3 5.91 ± 1.944 78.0
Self-rated health
 Excellent-good 2.04 ± 1.152 0.032 68.8 2.04 ± 1.219 0.924 36.9 6.03 ± 1.889 0.320 74.9
 Fair/poor 1.81 ± 1.178 75.3 2.03 ± 1.229 37.4 5.86 ± 2.023 79.9
Diabetes
 No 1.93 ± 1.172 0.876 72.1 2.03 ± 1.253 0.953 38.3 5.94 ± 1.985 0.963 77.9
 Yes 1.95 ± 1.169 71.4 2.04 ± 1.180 35.2 5.95 ± 1.909 76.2
Hypertension
 No 2.06 ± 1.273 0.524 69.7 2.21 ± 1.244 0.380 27.3 6.27 ± 2.01 0.320 72.7
 Yes 1.93 ± 1.162 71.8 2.02 ± 1.223 37.9 5.92 ± 1.945 77.4
Body mass index
 to 24.9 1.70 ± 1.144 0.027 71.9 1.86 ± 1.219 0.112 41.7 5.57 ± 1.929 0.034 78.1
 ≥25 1.99 ± 1.165 71.7 2.09 ± 1.214 35.1 6.04 ± 1.937 76.9

Table 1.

Characteristics of Participants (n = 505).

n %
Gender
 Male 176 34.9
 Female 329 65.1
Race/ethnicity
 African American 340 67.3
 Hispanics 165 32.7
Age (years)
 55–64 157 31.2
 65–74 193 38.3
 75 + 154 30.6
Education
 No HS diploma 208 41.2
 HS diploma and higher 297 58.8
Household monthly income
 Less than US$1500 394 81.3
 US$1500 + 91 18.8
Living alone
 No 206 40.8
 Yes 299 59.2
Exercise (how often walk at least a mile)
 Regularly 140 28.7
 Occasionally 55 11.3
 Rarely 293 60.0
Smoking
 Current or past 301 61.1
 Never 192 38.9
Alcohol consumption
 No/light drinker 452 91.1
 Drinks regularly 444 8.9
Access to fruits and vegetables
 With difficulty 77 15.6
 Without difficulty 418 84.4
Self-rated health
 Excellent-good 271 54.6
 Fair/poor 225 45.4
Body mass index (BMI)
 Normal (18.5–24.9) 98 19.6
 Overweight (25–29.9) 178 35.6
 Obese (≥30) 224 44.8
Hypertension
 No 38 9.7
 Yes 456 92.3
Diabetes
 No 306 61.8
 Yes 189 38.2
Body mass index
 Normal (18.6–24.9) 98 19.6
 Overweight or obese (≥25) 402 80.4
Hypertension, diabetes, overweight/obese
 One condition 92 18.9
 Two conditions 241 49.4
 All three conditions 155 31.8

Poor health behavior was observed, with more than 60% having sedentary behavior and 60% reporting current or past use of cigarettes. However, more than 90% did not drink alcohol or were light drinkers (<1 drink a month).

In this cohort of community-living minority older adults, 80% had a BMI ≥ =25. Additionally, 49% and 32% had two or three CVD risk factors (hypertension, DM and ≥25), respectively. About 45% rated their health as fair or poor.

Fruit and Vegetable Consumption

In unadjusted models only 63% of Hispanic and 28% of African Americans met the recommended guidelines for daily intake for fruit and for vegetables. When we combined the recommended guidelines of >/=2 fruit and >/=3 vegetable servings daily, only 23% of all participants met the guidelines. This is despite 84% of all participants reporting that they had access to fruits and vegetables.

Table 1 shows unadjusted bivariate models for fruit and vegetable intake by our covariates. In all bivariate models, more participants met the guidelines for fruits than vegetables. The average fruit and vegetable consumption was: fruit (2.04 ± 1.22); vegetable (1.93 ± 1.17); and fruit + vegetable (5.95 ± 1.95). African Americans consumed significantly less fruits and vegetables compared to Hispanics. Male participants consumed significantly less vegetables compared to females, while participants with an education above a high school diploma consumed significantly more fruit than those without a high school diploma. Other variables associated with higher vegetable intake were living alone, regular exercise, excellent or good self-rated health, and BMI above 25. Participants who were current or previous smokers consumed significantly less fruits and vegetables compared to those who had never smoked.

In unadjusted models, the association of fruits and vegetables intake did not differ by age, household income, alcohol intake, access to fruits and vegetables, diabetes or hypertension status. Additionally, average fruit + vegetable intake among all covariates met the guidelines, but with relatively large SDs, suggesting a diverse pattern of intake.

Multivariate models (Table 3) did not yield significant associations between fruit and vegetable intake and current diagnosis of either diabetes or hypertension. However, participants who were overweight or obese (BMI >25) had a significantly higher intake of vegetables (1.99 ± 1.12; p = 0.027) and fruits + vegetables (6.04 ±1.94, p = 0.034), but not fruit (p = 0.11) after adjusting for all other covariates. Participants who exercised regularly were also ate more vegetables (2.15 ± 1.16, p = 0.004) and fruits + vegetables (6.31 ± 1.97; p = 0.012) compared to those who rarely exercised. Exercise was however, not significant for fruit consumption.

Table 3.

Multiple Linear Regression Analysis of Consumption of Fruit and Vegetable among Underserved African American and Hispanic Older Adults with Co-morbidities (N = 505).

Independent Variables Vegetables Fruits Vegetable and Fruit
Beta Sig Beta Sig Beta Sig
Race/Ethnicity (Hispanic vs. African American) −0.161 0.019 −0.150 0.029 −0.194 0.004
Gender (female vs. male) 0.078 0.105 −0.007 0.887 0.047 0.330
Age (years) 0.057 0.254 −0.082 0.104 −0.007 0.884
Education (years) 0.087 0.161 −0.055 0.376 0.020 0.749
Household income ($$) 0.002 0.972 0.052 0.294 0.036 0.461
Living alone (no vs. yes) −0.081 0.107 0.009 0.852 −0.039 0.435
Exercise
 Regularly 0.142 0.004 0.072 0.149 0.124 0.012
 Occasionally 0.056 0.238 0.025 0.603 0.046 0.326
Rarely (ref)
 Smoking (current or past vs. never) −0.053 0.310 −0.069 0.185 −0.075 0.144
 Alcohol consumption (no/light vs. regularly) 0.058 0.240 0.003 0.952 0.036 0.463
 Access to fruits and vegetables (with difficulty vs. without difficulty) −0.013 0.773 −0.083 0.072 −0.065 0.156
 Self-rated health (excellent-good vs. fair/poor) 0.010 0.829 −0.010 0.827 0.013 0.777
 Diabetes (no vs. yes) −0.019 0.684 −0.029 0.543 −0.031 0.512
 Hypertension (no vs. yes) 0.036 0.472 0.028 0.569 0.035 0.476
 Body mass index (18.6–24.9 vs. ≥25) 0.104 0.027 0.077 0.102 0.102 0.029

We observed a racial/ethnic difference in fruit and vegetable consumption. After adjusting for all other covariates, AAs had lower daily servings compared to their Hispanic counterparts: fruits (1.87 ± 1.25 vs. 2.41 ± 1.07; p = 0.029); vegetables (1.82 ± 1.14 vs. 2.18, SD 1.19; p = 0.019); and fruits + vegetables (5.57 ± 1.85 vs. 6.57 ± 1.94; p = 0.004).

About 84.4% of all participants reported having access to fruits and vegetables. However, among those with access, 38% and 78% did not meet the guidelines for fruit and vegetable consumption, respectively.

Discussion

The cardiovascular health benefits of a diet rich in fruits and vegetables are well known. Retrospective and prospective studies have found significant inverse dose–response associations between fruits and vegetables consumption and CVD factors (Dauchet et al., 2004, 2005, 2006; He et al., 2006, 2007; Micha et al., 2017; Miller et al., 2017). This is particularly important among older adults because not only does CVD risk increase with age, aging also increases the risk for poor dietary intake due to physiological deterioration, functional and cognitive limitations, social isolation and economic constraints (Nicklett & Kadell, 2013). Relatively few studies have examined the correlates of fruits and vegetable intake among older adults, and even fewer among minority older adults (Nicklett & Kadell, 2013). Our study provides foundational knowledge on the correlates of fruit and vegetable intake among older AA and Hispanic adults in under-resourced settings.

Overall, the majority of the minority older adults in our study did not meet the recommended guidelines for fruit and vegetable consumption, but this was not associated with hypertension or diabetes prevalence, or having access to fruits and vegetables. Fruit and vegetable consumption was worse among African Americans. Our findings are vital for successful interventions that are age-appropriate, culturally relevant, and socio-economically practical.

Many Americans with already established CVD risk factors including diabetes, hypertension, and obesity do not follow recommended dietary guidelines (Jen et al., 2007; Nelson et al., 2002a). In our study of community living, older AA and Hispanic adults with these cardiovascular risk factors, 77% did not meet the fruit and vegetable guidelines. A slightly lower, but similarly poor compliance was reported in a national sample of diabetic adults ages 61± 0.6 years in the Third National Health and Nutrition Examination Survey (NHANES III). Sixty two percent of AA (n = 408) and 65% of Hispanics (n = 452) did not meet the fruit and vegetable guidelines (Nelson et al., 2002b). Another large, 20-year longitudinal NHANES study reported an inverse association between consumption of less than five daily servings of fruit and vegetable and the incidence of diabetes (Ford & Mokdad, 2001). These findings strengthen the hypothesis that fruits and vegetables have a protective effect on the incidence and severity of diabetes. This effect has further been supported by the evidence of decreased HgbA1c with the intervention of fruit and vegetable “prescriptions.” In one such study in a low-income, urban, mostly AA and Hispanic cohort with uncontrolled diabetes, HgbA1c decreased from 9.54% to 8.83%, (p = 0.001) within 13 weeks of the intervention (He et al., 2004). Among those with hypertension, there is evidence that dietary modifications play a role in blood pressure management. In a randomized controlled trial to assess the effect of diet on blood pressure, the Dietary Approaches to Stop Hypertension demonstrated a decrease in blood pressure within 8 weeks of increasing fruit and vegetable consumption (Appel et al., 1997). Therefore, dietary strategies to increase fruit and vegetable intake among older minority adults may lower the burden of cardiovascular risk factors in this population.

Obesity plays an important role as an independent CVD risk factor, or indirectly as a risk factor for diabetes and hypertension. In our study, participants who were overweight or obese consumed more vegetables and fruit + vegetables compared to those with normal weight. Other cross-sectional studies (Alinia et al., 2009; Jen et al., 2007) have reported opposing results - overweight and obese people consumed less fruits and vegetables. Similar results have been reported in longitudinal studies. After 12 years in the Nurses’ Health Study (He et al., 2004), participants who consumed more fruits and vegetables gained significantly less weight. There is evidence that replacing foods of high energy density with foods of lower energy density, such as fruits and vegetables, can be an important part of a weight-management strategy (Lee-Kwan et al., 2017). Theoretically, the increased viscosity and satiety of fruits and vegetables is thought to play a role in preventing obesity. We speculate that the opposing paradoxical finding in our study may be related to reporting bias. Reasons pertaining to higher vegetable intake among overweight/obese participants in our study warrant further investigation.

Several studies have documented that in general, AAs consume less vegetables than Whites and Hispanics, while Hispanics consume more vegetables than Whites (Dubowitz et al., 2008; Gary et al., 2004; Hiza et al., 2013; Kahn et al., 1997; Lee-Kwan et al., 2017). Other studies have reported inadequate intake of fruits and vegetables among AA with diabetes (Nelson et al., 2002a) and hypertension of all ages (Jen et al., 2007). In our study, more AA (82%) compared to Hispanic (67%) adults did not meet the fruit and vegetable guidelines. This may be because the traditional diet components of Latino foods include more vegetables and fruits. Some of our participants may also have been immigrants from Latin countries that typically consume more fruits and vegetables than Americans. More studies are needed to elucidate cultural barriers and promote positive cultural influences related to fruit and vegetable intake among both groups.

In our study, even after adjusting for other factors, physically active participants consumed more fruits and vegetables. Reduced physical functioning in aging may be associated in with reduced ability to shop and prepare food. Additionally, others have reported that engagement in physical activity may be a marker of health consciousness (Bazzano et al., 2003), thus increasing the likelihood of higher fruit and vegetable intake.

In discussions about dietary intake, it is imperative to consider access to healthy food options. Neighborhoods lacking market availability or access to healthy foods—referred to as food deserts—may contribute to inadequate consumption of fruits and vegetables. In our study, 84% of the participants reported having access to fruits and vegetables. Another study of food pantry clients in California reported that 41% of participants were within walking distance to a store with fresh produce. Despite the majority of our study participants having access to fruits and vegetables, only 23% met the recommended guidelines. Therefore, access does not necessarily equate consumption.

Investigations on the relationship between access and consumption of fruits and vegetables have yielded negative (Aggarwal et al., 2014; Boone-Heinonen et al., 2011), positive (Becerra et al., 2017; Caldwell et al., 2009; Zenk et al., 2009), or inconclusive results (Mello et al., 2010; Singleton et al., 2015). Similar to our study, Aggarwal et al. (Aggarwal et al., 2014) and Boon-Heinonen et al. (Boone-Heinonen et al., 2011) did not find an association between access to grocery stores and fruit and vegetable consumption. However, Caldwell et al. (Caldwell et al., 2009) by measuring the display space devoted to fruit and vegetable offering, price, variety, and freshness and Zenk et al. (Zenk et al., 2009) by using store availability, proximity, and fruit and vegetable supply both found access to fruits and vegetables significantly associated with higher consumption. However, Zenk et al. observed a racial/ethnic disparity. When both AA and Latinos had access to a large grocery store, Latinos consumed 2.2 more daily servings of fruit and vegetables. In regard to fresh fruits and vegetables, access to fresh produce was significantly associated with an increase in consumption among Latinos but not among AA. These findings agree with our findings on racial/ethnicity consumption of fruits and vegetables. In California, many farm workers are Hispanic and may be more likely to have access to fresh produce.

The paradox of market availability but inadequate consumption of fruits and vegetables may be explained by other mediating factors. In addition to access, several barriers have been identified including high cost, store proximity, perceived lack of preparation time, taste preferences, and cultural practices (Algert et al., 2006; Fish et al., 2015; Zenk et al., 2011). Fish et al. (Fish et al., 2015) conducted an in-depth qualitative study of factors influencing the consumption of fresh fruits and vegetables among AA and Latino women. Among both groups, access, cost, concern for spoilage, family preferences and concerns about chemicals used on fresh produce were barriers to fresh fruit and vegetable consumption. AA women also reported poor cooking skills, while Latina women were less open to trying new foods. It is also notable that the majority of our participants had limited income.

The CDC Guide to Strategies to Increase the Consumption of Fruits and Vegetables identifies 10 strategies to increase access to and improve the availability of fruits and vegetables (CDC, 2011). These include improving access to retails stores that sell high-quality fruits and vegetables, starting and/or expanding farmers’ markets, ensuring access to fruits and vegetables at school and workplace cafeteria, and promoting food policies at the state and local level. Others have recommended food policies that would reduce the price of fruits and vegetables and expansion of vouchers for under resourced populations (Hood et al., 2012). In addition to access, further studies are needed to identify additional barriers to fruit and vegetable intake among minority older adults with CVD factors, particularly in underserved communities.

Limitations

The challenges associated with accessibility and measurement of fruit and vegetable consumption patterns are well recognized, particularly among participants of diverse racial/ethnic backgrounds (Roark & Niederhauser, 2013). Because many of the participants had low income, they may have been enrolled in government food assistance programs. However, we did not ask that question and therefore may have missed an opportunity for future intervention in that domain.

In our study, fruit and vegetable intake reporting relied on participant recall and thus subject to recall bias. Total caloric intake which may have a confounding effect on the results was not assessed. Height and weight measurements were reported by participants and may be inaccurate. Additionally, the severity of diabetes or hypertension was unknown. Finally, our study used convenience sampling and may therefore lack generalizability.

Conclusion

Many older AA and Hispanic adults with CVD risk factors and living in an underserved community did not meet the recommended guidelines for fruits and vegetable intake. This is an important finding because of the protective benefits of fruit and vegetables for cardiovascular health. More studies, in this population specifically, are needed to understand factors associated with fruit and vegetable intake, including barriers associated with aging, cultural influences, and dynamics of food access.

Acknowledgments

The research presented in this paper is that of the authors and does not reflect official polies of CMS or NIH. No financial disclosures were reported by the authors of this paper.

Footnotes

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Centers for Medicare and Medicaid Services (CMS) grant 1H0CMS331621 to Charles R. Drew University of Medicine and Science. Additionally, this study was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under awards R25 MD007610 and S21 MD000103.

Author Contributions: The study sponsor had no role in study design; collection, analysis, and interpretation of data; writing the report; and the decision to submit the report for publication.

ORCID iD

Lucy W. Kibe https://orcid.org/0000-0002-6802-8451

References

  1. Aggarwal A., Cook A. J., Jiao J., Seguin R. A., Vernez Moudon A., Hurvitz P. M., Drewnowski A. (2014). Access to supermarkets and fruit and vegetable consumption. American Journal of Public Health, 104(5), 917–923. 10.2105/AJPH.2013.301763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Algert S. J., Agrawal A., Lewis D. S. (2006). Disparities in access to fresh produce in low-income neighborhoods in Los Angeles. American Journal of Preventive Medicine, 30(5), 365–370. 10.1016/j.amepre.2006.01.009 [DOI] [PubMed] [Google Scholar]
  3. Alinia S., Hels O., Tetens I. (2009). The potential association between fruit intake and body weight - a review. Obesity Reviews, 10(6), 639–647. 10.1111/j.1467-789X.2009.00582.x [DOI] [PubMed] [Google Scholar]
  4. Appel L. J., Moore T. J., Obarzanek E., Vollmer W. M., Svetkey L. P., Sacks F. M., Bray G. A., Vogt T. M., Cutler J. A., Windhauser M. M., Lin P.-H., Karanja N., Simons-Morton D., McCullough M., Swain J., Steele P., Evans M. A., Miller E. R., Harsha D. W. (1997). A Clinical Trial of the Effects of Dietary Patterns on Blood Pressure. New England Journal of Medicine, 336(16), 1117–1124. 10.1056/nejm199704173361601 [DOI] [PubMed] [Google Scholar]
  5. Bazzano L. A., Serdula M. K., Liu S. (2003). Dietary intake of fruits and vegetables and risk of cardiovascular disease. Springer. https://idp.springer.com/authorize/casa?redirect_uri=https://link.springer.com/content/pdf/10.1007/s11883-003-0040-z.pdf&casa_token=-PbRJ7__HtsAAAAA:Y1SenIFzqUmI_XvTEsLONMdbCbgp_v-dAr-jBcfb8_2aK9lvEpaGys10sn5L3GppL100WLM_OH_7AW7N [DOI] [PubMed] [Google Scholar]
  6. Becerra M. B., Hassija C. M., Becerra B. J. (2017). Food insecurity is associated with unhealthy dietary practices among US veterans in California. Public Health Nutrition, 20(14), 2569–2576. 10.1017/S1368980016002147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Boeing H., Bechthold A., Bub A., Ellinger S., Haller D., Kroke A., Leschik-Bonnet E., Müller M. J., Oberritter H., Schulze M., Stehle P., Watzl B. (2012). Critical review: Vegetables and fruit in the prevention of chronic diseases. European Journal of Nutrition, 51(6), 637–663. 10.1007/s00394-012-0380-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Boone-Heinonen J., Gordon-Larsen P., Kiefe C. I., Shikany J. M., Lewis C. E., Popkin B. M. (2011). Fast food restaurants and food stores - Longitudinal associations with diet in young to middle-aged adults: The CARDIA study. Archives of Internal Medicine, 171(13), 1162–1170. 10.1001/archinternmed.2011.283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Caldwell E. M., Miller Kobayashi M., Dubow W., Wytinck S. (2009). Perceived access to fruits and vegetables associated with increased consumption. Public Health Nutrition, 12(10), 1743–1750. 10.1017/S1368980008004308 [DOI] [PubMed] [Google Scholar]
  10. CDC . (2011). Strategies to prevent obesity and other chronic diseases the CDC Guide to strategies to increase the consumption of fruits and vegetables. National Center for Chronic Disease Prevention and Health Promotion. http://www.cdc.gov/obesity [Google Scholar]
  11. CDC (2020). National Diabetes Statistics Report 2020. Estimates of diabetes and its burden in the United States. [Google Scholar]
  12. CDC . (2021). Heart disease facts. National Center for Chronic Disease Prevention and Health Promotion. https://www.cdc.gov/heartdisease/facts.htm [Google Scholar]
  13. Centers for Disease Control and Prevention (2011). Strategies to prevent obesity and other chronic diseases: The CDC Guide to strategies to increase the consumption of fruits and vegetables. https://health.gov/our-work/food-nutrition/previous-dietary-guidelines/2015 [Google Scholar]
  14. Dauchet L., Amouyel P., Dallongeville J. (2005). Fruit and vegetable consumption and risk of stroke: A meta-analysis of cohort studies. Neurology, 65(8), 1193–1197. 10.1212/01.wnl.0000180600.09719.53 [DOI] [PubMed] [Google Scholar]
  15. Dauchet L., Amouyel P., Hercberg S., Dallongeville J. (2006). Fruit and vegetable consumption and risk of coronary heart disease: A meta-analysis of cohort studies. The Journal of Nutrition, 136(10), 2588–2593. 10.1093/jn/136.10.2588 [DOI] [PubMed] [Google Scholar]
  16. Dauchet L., Ferrières J., Arveiler D., Yarnell J. W., Gey F., Ducimetière P., Ruidavets J.-B., Haas B., Evans A., Bingham A., Amouyel P., Dallongeville J. (2004). Frequency of fruit and vegetable consumption and coronary heart disease in France and Northern Ireland: the PRIME study. British Journal of Nutrition, 92(6), 963–972. 10.1079/bjn20041286 [DOI] [PubMed] [Google Scholar]
  17. Dubowitz T., Heron M., Bird C. E., Lurie N., Finch B. K., Basurto-Dávila R., Hale L., Escarce J. J. (2008). Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. The American Journal of Clinical Nutrition, 87(6), 1883–1891. 10.1093/ajcn/87.6.1883 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Ekmekcioglu C., Elmadfa I., Meyer A. L., Moeslinger T. (2016). The role of dietary potassium in hypertension and diabetes. Journal of Physiology and Biochemistry, 72(1), 93–106. 10.1007/s13105-015-0449-1 [DOI] [PubMed] [Google Scholar]
  19. Fish C. A., Brown J. R., Quandt S. A. (2015). African American and latino low income families’ food shopping behaviors: Promoting fruit and vegetable consumption and use of alternative healthy food options. Journal of Immigrant and Minority Health, 17(2), 498–505. 10.1007/s10903-013-9956-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Ford E. S., Mokdad A. H. (2001). Fruit and vegetable consumption and diabetes mellitus incidence among US adults. Preventive Medicine, 32(1), 33–39. 10.1006/pmed.2000.0772 [DOI] [PubMed] [Google Scholar]
  21. Fryar C. D., Ostchega Y., Hales C. M., Zhang G., Kruszon-Moran D. (2015). Hypertension prevalence and Control among adults: United States, 2015–2016. https://www.cdc.gov/nchs/data/databriefs/db289_table.pdf#2 [PubMed] [Google Scholar]
  22. Gary T. L., Baptiste-Roberts K., Gregg E. W., Williams D. E., Beckles G. L., Miller E. J., 3rd, Engelgau M. M. (2004). Fruit, vegetable and fat intake in a population-based sample of African Americans. Journal of the National Medical Association, 96(12), 1599–1605. https://www.ncbi.nlm.nih.gov/pubmed/15622690https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2568677/pdf/jnma00181-0071.pdf [PMC free article] [PubMed] [Google Scholar]
  23. Grillo A., Salvi L., Coruzzi P., Salvi P., Parati G. (2019). Sodium intake and hypertension. Nutrients, 11(9), 1970. 10.3390/nu11091970 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Hales C. M., Carroll M. D., Fryar C. D., Ogden C. L. (2017). Prevalence of obesity and severe obesity among adults: United States, 2017-2018 key findings data from the National Health and Nutrition Examination Survey. https://www.cdc.gov/nchs/products/index.htm [Google Scholar]
  25. He K., Hu F. B., Colditz G. A., Manson J. E., Willett W. C., Liu S. (2004). Changes in intake of fruits and vegetables in relation to risk of obesity and weight gain among middle-aged women. International Journal of Obesity, 28(12), 1569–1574. 10.1038/sj.ijo.0802795 [DOI] [PubMed] [Google Scholar]
  26. He F. J., Nowson C. A., Lucas M., MacGregor G. A. (2007). Increased consumption of fruit and vegetables is related to a reduced risk of coronary heart disease: Meta-analysis of cohort studies. Journal of Human Hypertension, 21(9), 717–728. 10.1038/sj.jhh.1002212 [DOI] [PubMed] [Google Scholar]
  27. He F. J., Nowson C. A., MacGregor G. A. (2006). Fruit and vegetable consumption and stroke: Meta-analysis of cohort studies. Lancet, 367(9507), 320–326. 10.1016/S0140-6736(06)68069-0 [DOI] [PubMed] [Google Scholar]
  28. Hiza H. A. B., Casavale K. O., Guenther P. M., Davis C. A. (2013). Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. Journal of the Academy of Nutrition and Dietetics, 113(2), 297–306. 10.1016/j.jand.2012.08.011 [DOI] [PubMed] [Google Scholar]
  29. Hood C., Martinez-Donate A., Meinen A. (2012). Promoting healthy food consumption: A review of state-level policies to improve access to fruits and vegetables. WMJ: Official Publication of the State Medical Society of Wisconsin, 111(6), 283–288. [PubMed] [Google Scholar]
  30. Jen K.-L. C., Brogan K., Washington O. G. M., Flack J. M., Artinian N. T. (2007). Poor nutrient intake and high obese rate in an urban African American population with hypertension. Journal of the American College of Nutrition, 26(1), 57–65. 10.1080/07315724.2007.10719586 [DOI] [PubMed] [Google Scholar]
  31. Kahn H. S., Tatham L. M., Rodriguez C., Calle E. E., Thun M. J., Heath C. W. (1997). Stable behaviors associated with adults’ 10-year change in body mass index and likelihood of gain at the waist. American Journal of Public Health, 87(5), 747–754. 10.2105/AJPH.87.5.747 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Lee-Kwan S. H., Moore L. V., Blanck H. M., Harris D. M., Galuska D. (2017). Disparities in state-specific adult fruit and vegetable consumption - United States, 2015. MMWR. Morbidity and Mortality Weekly Report, 66(45), 1241–1247. 10.15585/mmwr.mm6645a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Los Angeles County Department of Public Health , Office of health assessment and epidemiology. Key indicators of health by Service planning Area; January 2017. http://publichealth.lacounty.gov/ha/docs/2015LACHS/KeyIndicator/Correction/KIH_020617-sec.pdf [Google Scholar]
  34. Mello J. A., Gans K. M., Risica P. M., Kirtania U., Strolla L. O., Fournier L. (2010). How is food insecurity associated with dietary behaviors? An analysis with low-income, ethnically diverse participants in a nutrition intervention study. Journal of the American Dietetic Association, 110(12), 1906–1911. 10.1016/j.jada.2010.09.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Micha R., Peñalvo J. L., Cudhea F., Imamura F., Rehm C. D., Mozaffarian D. (2017). Association between dietary factors and mortality from heart disease, stroke, and type 2 diabetes in the United States. Journal of the American Medical Association, 317(9), 912–924. 10.1001/jama.2017.0947 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Miller V., Mente A., Dehghan M., Rangarajan S., Zhang X., Swaminathan S., Mapanga R. (2017). Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): A prospective cohort study. Lancet, 390(10107), 2037–2049. 10.1016/S0140-6736(17)32253-5 [DOI] [PubMed] [Google Scholar]
  37. Nelson K. M., Reiber G., Boyko E. J. (2002. a). Diet and exercise among adults with type 2 diabetes findings from the Third National Health and Nutrition Examination Survey (NHANES III). [DOI] [PubMed] [Google Scholar]
  38. Nelson K. M., Reiber G., Boyko E. J. (2002. b). Diet and exercise among adults with type 2 diabetes: Findings from the third national health and nutrition examination survey (NHANES III). Diabetes Care, 25(10), 1722–1728. https://care.diabetesjournals.org/content/diacare/25/10/1722.full.pdf [DOI] [PubMed] [Google Scholar]
  39. Nicklett E. J., Kadell A. R. (2013). Fruit and vegetable intake among older adults: A scoping review. Maturitas, 75(4), 305–312. 10.1016/j.maturitas.2013.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Roark R. A., Niederhauser V. P. (2013). Fruit and vegetable intake: Issues with definition and measurement. Public Health Nutrition, 16(1), 2–7. 10.1017/S1368980012000985. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Sargeant L., Khaw K., Bingham S., Day N., Luben R., Oakes S., Welch A., Wareham N. (2001). Fruit and vegetable intake and population glycosylated haemoglobin levels: The EPIC-Norfolk study. European Journal of Clinical Nutrition, 55(5), 342–348. 10.1038/sj.ejcn.1601162 [DOI] [PubMed] [Google Scholar]
  42. Singleton C. R., Sen B., Affuso O. (2015). Disparities in the availability of farmers markets in the United States. Environmental Justice, 8(4), 135–143. 10.1089/env.2015.0011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Steffen L. M., Kroenke C. H., Yu X., Pereira M. A., Slattery M. L., Van Horn L., Jacobs D. R. (2005). Associations of plant food, dairy product, and meat intakes with 15-y incidence of elevated blood pressure in young black and white adults: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. https://academic.oup.com/ajcn/article/82/6/1169/4648772 [DOI] [PubMed] [Google Scholar]
  44. Virani S. S., Alonso A., Benjamin E. J., Bittencourt M. S., Callaway C. W., Carson A. P., Heard D. G. (2020). Heart disease and stroke statistics—2020 update: A report from the American Heart Association (pp. E139–E596). Lippincott Williams and Wilkins. [DOI] [PubMed] [Google Scholar]
  45. Zenk S. N., Lachance L. L., Schulz A. J., Mentz G., Kannan S., Ridella W. (2009). Health promoting community design/nutrition neighborhood retail food environment and fruit and vegetable intake in a multiethnic urban population. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Zenk S. N., Odoms-Young A. M., Dallas C., Hardy E., Watkins A., Hoskins-Wroten J., Holland L. (2011). You have to hunt for the fruits, the vegetables: Environmental barriers and adaptive strategies to acquire food in a low-income African American neighborhood. Health Education and Behavior, 38(3), 282–292. 10.1177/1090198110372877 [DOI] [PMC free article] [PubMed] [Google Scholar]

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