Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Nov 11.
Published in final edited form as: Integr Cancer Ther. 2013 Oct 7;13(2):114–120. doi: 10.1177/1534735413503550

Compliance with National Nutrition Recommendations among Breast Cancer Survivors in STEPPING STONE

Elizabeth Dennis Parker 1, Lucile Adams-Campbell 2, Vanessa Sheppard 3
PMCID: PMC4227310  NIHMSID: NIHMS632374  PMID: 24105362

Abstract

Introduction

Compared to White breast cancer survivors, African American survivors are more likely to be overweight and obese. Differences in weight status may be attributed to differences in dietary intake; however, there is limited research pertaining to the dietary habits of African American breast cancer survivors.

Methods

We compared baseline dietary intakes of 31 overweight and obese African American breast cancer survivors enrolled in a healthy lifestyle intervention to national dietary guidelines and also examined beverage intake habits. Dietary intake was assessed using the National Cancer Institute's Diet History Questionnaire (DHQ) and beverage intake was assessed using 3-day food intake records.

Results

Overall, the majority of survivors consumed the recommended daily servings of fruits and vegetables (71.0%) and red meat (83.9%); however, survivors exceeded national recommendations for energy intake from fat (64.5%), saturated fat (87.1%) and added sugars (77.4%). Few women met the guidelines for whole grain and fiber intake (6.5% and 35.5%, respectively). Additionally, survivors consumed ~10% of total energy intake from beverages alone and only ~3.5 cups of water daily.

Conclusions

Current dietary guidelines for cancer survivors recommend consuming >5 servings/day of fruits and vegetables and broad guidelines regarding limiting discretionary fat and added sugars, but do not specify beverage intake recommendations. Future dietary interventions in African American Breast cancer survivors should focus on reducing intake from dietary fat and added sugar, as well as increasing whole grain consumption as a means for increasing daily fiber intake. Furthermore, substituting caloric beverages with water or noncaloric beverages may be a strategy to decrease caloric intake in African American Breast cancer survivors. Nutrition information targeting these nutrients could be administered during treatments or doctor's visits as a means to prevent weight gain that often occurs following diagnosis.

Keywords: Energy Intake, Added Sugars, Beverages, Breast Cancer, Survivors, Fiber Intake, Water

Introduction

Breast cancer survivors make up the largest group of cancer survivors (22%) in the United States1. Several lifestyle factors including participation in physical activity and consuming a healthy diet have been deemed potential protective factors that may help to reduce a woman's risk for breast cancer; alternatively, obesity is considered a risk factor for developing postmenopausal breast cancer. Obesity is also associated with increased risk for breast cancer recurrence and increased cancer mortality25, increased risk of comorbidities6,7 and poor quality of life and physical functioning8,9. Considering there have been substantial increases in the percentage of the US adult population who are overweight and obese over the years, with the greatest increases observed among African American women10, strategies to improve dietary habits among this minority population should be a priority.

Currently, there are few studies examining dietary intake in minority breast cancer survivors. Stolley et al11 conducted a weight loss intervention in African American breast cancer survivors and measured dietary intake using the Block '98 Food Frequency Questionnaire. At baseline, participants reported higher percentages of energy intake from fat and lower consumption of fiber than what is recommended by the dietary guidelines12. The WHEL study was a dietary intervention looking at the effects of a low-fat, high fruit, vegetable and fiber diet on breast cancer recurrence and overall survival in women13. Secondary analyses of this study have been conducted by Paxton and colleagues14 found that at baseline, African American women consumed higher intakes from fat, lower intakes of fiber and fewer servings of fruits and vegetables compared to Asian American and White participants; over the 4 year follow up period, African Americans were less likely than White, Asian American and Hispanic women to maintain improvements in fiber intake, percentage of energy from fat and servings of vegetables. Saquib et al15 reported differences in dietary energy density (food only; kcal/g) between racial/ethnic groups. Dietary energy density may be an indicator of diet quality; low energy dense foods, such as fruits and vegetables, contribute few calories while providing greater bulk to the diet, whereas higher energy-dense foods contain greater amounts of fat and calories16. African American women had the highest dietary energy density (food only) compared to Whites, Asian Americans and Hispanics at baseline15, which would suggest these women were consuming a diet higher in fat.

The American Cancer Society (ACS) recently released nutrition guidelines for cancer survivors 17. These recommendations include achieving a dietary pattern that is high in fruits, vegetables and whole grains; these recommendations also include following the ACS Guidelines of Nutrition and Physical Activity for Cancer Prevention18. Some of the recommendations within these guidelines are specific (ie consume ≥2.5 cups of fruits and vegetables daily); whereas others are broad (choose foods and beverages in amounts that help achieve and maintain a healthy weight) and do not provide recommendations for specific macronutrients (ie Fat or Saturated Fat). Additionally, the guidelines acknowledge the dearth of research related to nutrition behaviors among cancer survivors. We expand knowledge in this area by comparing the dietary intake of overweight and obese African American breast cancer survivors to national dietary recommendations for cancer survivors. Data are also presented on beverage consumption including amounts of drinking water and energy-containing beverages, and with this data we highlight potential targets for nutrition education and future weight maintenance or weight loss interventions in African American breast cancer survivors.

Methods

Study Design

This report is focused on dietary assessments from African American women who were enrolled into a randomized clinical trial, Stepping Stone (Survivors Taking on Nutrition and Exercise). Stepping Stone was an intervention that focused on improving healthy behaviors (i.e. physical activity and nutrition) and quality of life among African American breast cancer survivors. The study protocol was approved by the Institutional Review Board of Georgetown University. All participants provided written informed consent prior to study enrollment.

Participant characteristics

Overweight or obese (>25 kg/m2) African American women >21 years of age were recruited from the Washington DC metro area using flyers, email list-serves, newspaper advertisements and referrals from medical providers. Eligible women, self-identified as African American/Black, were diagnosed with non-metastatic breast cancer and were at least 1 month beyond active treatment (e.g., chemotherapy, etc.).

Measurements

Anthropometrics

Measures of height, weight, and waist circumference were recorded by a trained exercise physiologist. Height was measured by a stadiometer to the nearest ½ cm without shoes; body weight was measured to the nearest 1/10 pound in light clothing without shoes using a standard digital scale (Seca 813; Hanover, MD). Height and weight were used to calculate BMI. Waist and hip circumference were used to assess abdominal obesity using a standard tape measurer. Waist to Hip ratio was also calculated to assess abdominal obesity.

Dietary Intake

Dietary intake, including daily energy intake, percentage of energy from fat, saturated fat, grams of discretionary fat, fiber and added sugars, servings of fruits, vegetables, total and whole grains, and alcohol, and energy density was measured using the National Cancer Institute's Diet History Questionnaire (DHQ). The DHQ is a 36 page, 124 item questionnaire that measures food frequency and intake amount over 12 months. The DHQ was self-administered but was reviewed by a trained nutritionist for errors. Reponses from questionnaires were manually entered into the database and analyzed using Diet*Calc (NCI Diet*Calc Analysis Program, Version 1.4.3. November 2005). Studies have shown that the DHQ provides reliable estimates of energy intake, and it has been validated19,20.

In a subset of the study group, four-day food intake records were collected. Participants were instructed to record their food/beverage (including water) intake, and records were reviewed for accuracy and completeness by a trained nutritionist prior to analysis using the NDS-R nutritional analysis software (NDS-R, University of Minnesota, Minneapolis, MN). Habitual beverage consumption was assessed using four-day food intake records that were manually reviewed to calculate mean daily amounts (kcal, g) of water and other beverages consumed. Total water intake from all foods and beverages was also recorded. Total water intake and beverage data was calculated from 4-day food records because the DHQ does not provide this data.

Compliance to Dietary Recommendations

Compliance to the ACS guidelines was determined for each dietary component. “Eat 5 or more servings of a variety of vegetables and fruits each day.” Participants were categorized as compliant if they consumed ≥ 5 fruit and vegetable servings/day. To calculate variety of fruits and vegetables consumed, we determined the percentage of servings from the following fruit and vegetable categories: dark green vegetables; deep yellow vegetables; other vegetables; tomato; citrus melon berry categories. A participant was compliant if she consumed 10% or more servings/day from two or more of those fruit and vegetable categories. “Limit consumption of processed and red meats.” Weekly processed and red meat intake was calculated by combining the DHQ variables Oz lean meat from beef pork lamb etc., Oz lean meat from organ meats and Oz lean meat from franks luncheon meats, and multiplying by 7 days. Compliance was defined as consuming <18 oz/week (AICR recs for oz/week21). “Choose Whole grains in preference to processed (refined grains).” To calculate percentage of whole grain intake, we divided whole grain intake by total grain intake. Compliance was defined as consuming >50% of total grains from whole grains. “If you drink, limit consumption to 1 drink/day for women.” Compliance was defined as consuming <1 alcoholic drink/day. Given the associations with breast cancer and alcohol consumption, we also calculated compliance with AICR's recommendation of consuming no alcohol (0 drinks/day; nondrinker)22.

When recommendations were not included in the ACS guidelines, we referred to additional guidelines from governmental and nongovernmental organizations for comparisons. Compliance for recommendations not included in the ACS guidelines were defined as follows: Fiber, >21 g/day23; Dietary Fat,<35% total daily energy24,25; Saturated Fat, <7% total daily energy24,25; Added sugars, <6 tsps/day24; Total water intake from all foods and beverages, >2.7 L/day23.

Statistical Analysis

Statistical analyses (SPSS v.20; Armonk, NY: IBM Corp.) include descriptive statistics for participant characteristics. Data are presented as mean ± SEM, or as N (%) when applicable.

Results

Overall, 31 participants completed the DHQ and were included in the analysis. Participant demographics and breast cancer treatment data are presented in Table 1. Participants were primarily older, educated women. Approximately two thirds of the women had at least a college degree, and the majority of women were married or single. Data regarding stage and treatment history was available for 14 women. Of these women, the majority received chemotherapy and/or radiation therapy, and few reported taking hormone therapy. Additionally, the majority of our sample was diagnosed with stage 1 or 2 breast cancer. Anthropometric measures are presented in Table 2. The majority of our sample had abdominal obesity and nearly 25% of our sample was classified as having extreme obesity (class III).

Table 1.

Baseline participant characteristics of African American breast cancer survivors enrolled into a randomized control trial, Stepping Stone (n=31)

Age, years 54.9 ± 9.6
 <45 years 3 (9.7)
45–65 years 23 (74.2)
 >65 years 5 (16.1)
Education
 Some high school 1 (3.1)
 High School Graduate/GED 4 (12.5)
 Some college but no degree 6 (18.8)
 College graduate 11 (34.4)
 Graduate or professional degree 9 (28.1)
Marital Status
 Married or living as married 13 (40.6)
 Divorced 7 (21.9)
 Widowed 1 (3.1)
 Single (never married) 9 (28.1)
Years Since Diagnosis 3.3 ± 0.4
Breast Cancer Stage
Stage 1 5 (16.1)
Stage 2 6 (19.4)
Stage 3 2 (6.5)
Stage 4 1 (3.2)
Unknown 17 (54.8)
Surgery Type
Lumpectomy 8 (25.8)
Mastectomy 6 (19.4)
Unknown 17 (54.8)
Treatment received
Chemotherapy 10 (32.3)
Radiation 11 (35.5)
Hormone Therapy 2 (6.5)
Unknown 17 (54.8)

Table 2.

Baseline anthropometries of African American breast cancer survivors enrolled into a randomized control trial, Stepping Stone (n=31).

Weight, lbs 217.8 ± 7.7
BMI, kg/m2 36.3 ± 1.2
 BMI 25–29.9 5 (17)
 BMI 30–34.9 8 (27)
 BMI 35–39.9 10 (33)
 BMI >40 7 (23)
Waist Circumference, cm 104.6 ± 2.9
 Waist circumference >88 cm 25 (89)
Hip Circumference, cm 120.9 ± 2.7
Waist/Hip Ratio 0.87 ± 0.01
 Waist/Hip ratio >.85 16 (57)

Self-reported dietary intake and the comparison of the ACS cancer prevention guidelines to our sample's self-reported dietary intake can be found in Table 3. The majority of participants consumed more than the recommended servings of fruits and vegetables and also consumed a variety of fruits and vegetables. Additionally, the majority of participants consumed fewer than 18 oz. of red and processed meat weekly, and the majority complied with the ACS alcohol recommendations. On the contrary, few participants consumed the recommended servings of whole grains.

Table 3.

Baseline self-reported dietary intake and compliance to national dietary recommendations of African American breast cancer survivors enrolled into a randomized control trial (n=31).

Total Dietary Energy Intake Mean (SE)
Energy, kcal/d 1867 ± 218
Weight, g/d 2180.9 ± 216.4
Fat (% energy) 35.8 ± 1.4
Saturated fat (% energy) 10.4 ± 0.6
Discretionary fat, g/day 65.6 ± 9.7
Fiber, g/d 18.9 ± 2.0
Vegetables, servings/day 5.0 ± 0.7
Fruits, servings/day 3.3 ± 0.4
Total grains, servings/day 3.8 ± 0.5
Whole grains, servings/day 0.9 ± 0.1
Alcohol, drinks/day 0.20 ± 0.06
Energy Density, kcal/g 0.86 ± 0.05
Added Sugars, g/d 67.3 ± 16.0
Dietary Components % Compliance
>5 servings of fruits and vegetables/day17,18 71.0
>10% of daily servings of fruits and vegetables from 2 or more categories 83.9
18 oz. of red and processed meat/week22 83.9
>50% total grains as whole grains12 6.5
Total drinks of alcohol
 <1 drink/day17,18
96.8
0 drinks/day 22 29.0
Fiber Intake23
 >21 g/d
35.5
Dietary Fat2325
 <35% total kcals
35.5
Saturated Fat 2325
 <7% total kcals
12.9
Added Sugars24,27
 <6 tsps/d
22.6
Total Water Intake23
 >2.7L*
6.7
*

4-day food records were used to calculate total water intake

We also compared self-reported dietary intake to the dietary recommendations that are not included in the ACS guidelines but can be found through the Institute of Medicine (IOM), American Heart Association (AHA) and the USDA 2010 Dietary Guidelines for Americans (Table 3). Fiber intake was lower than the generally accepted IOM recommendations for women of 21–26 grams per day. Dietary fat intake was higher than the recommended 25–35% by the AHA and IOM, as was energy intake from saturated fats. Discretionary fat was also higher than previously reported intake in women between the ages of 50–59. According to the USDA Continuing Survey of Food Intake by Individuals, 1994–96, average intake in this age group was 44.5 grams26. Women in our sample consumed over 11 tsps of added sugar daily. This quantity exceeds the upper limit of added sugar intake recommended by the AHA (6 tsps for women)27 and USDA Dietary Guidelines (8 tsps)28.

Of the thirty-one participants who completed the DHQ, 48% (n=15) also completed 4-day food intake records that were used to assess beverage intake data. Total water intake from foods and beverages was 1810 ± 234 g/day, and drinking water intake was 853 ± 242 g/day. Daily energy intake and added sugar intakes from beverages alone were 173 ± 48 kcals and 14.2 ± 3.1 g, respectively. Overall, participants consumed 10.3% of total energy intake from beverages; approximately 3.6 teaspoons of added sugars were from beverages alone.

Discussion

In our sample, the majority of women consumed the recommendations for fruits, vegetables, and red and processed meat, but failed to meet the recommended intakes for fat, saturated fat, whole grains, added sugars or total water. The ACS guidelines recommend limiting foods and drinks high in calories, fat and/ or added sugars, but do not provide recommendations on specific intakes other than fruits and vegetables. The promotion of national campaigns to increase fruit and vegetables servings (5 a Day for Better Health Program29, Fruits and Veggies-More Matters30) in conjunction with the specific ACS recommendations may explain the high intakes of fruits and vegetables in our sample. Considering that our sample also met the serving recommendations for red and processed meat, our results suggest these women are consuming their saturated fat intakes from non-meat sources as evidenced by the high intakes of discretionary fats. Other than high fat meats, common sources of discretionary fats in the American diet include grain-based desserts, regular cheese, pizza, fried foods and dairy desserts31. Given the comorbidities associated with breast cancer (ie cardiovascular disease and diabetes), it may be beneficial to educate women about the risks associated with consuming high amounts of solid fats and added sugars.

To our knowledge, no studies have reported data on added sugar intakes or beverage intake patterns of African American breast cancer survivors. This is important given that energy containing beverages, such as soft drinks and fruit drinks that provide energy but do not contain essential nutrients, are the largest contributors to beverage calories32 and may promote weight gain33. Furthermore, increased intake of non-diet soft drinks is positively associated with BMI34, weight gain and the risk of type 2 diabetes35,36, enhanced fat accumulation in the liver, muscle and visceral adipose tissue37,38 and risk factors for the metabolic syndrome35,39. Our sample of African American breast cancer survivors consumed 173 calories from beverages daily. Because calories from beverages are not as satiating as calories from solid foods4043; reducing energy-containing beverage intake may be an important topic to explore given the rates of weight gain and obesity in breast cancer survivors4449. Alternatively, higher intakes of energy-free beverages such as water, unsweetened tea and coffee and diet sodas may reduce the risk of weight gain36 and promote weight loss5055. Though there is not a current recommendation for drinking water intake, the Institute of Medicine Food and Nutrition board determined an Adequate Intake (AI) for total water intake for adult females over 19 years of 2.7 L/day23. This includes total water from all beverages, drinking water and moisture from foods to promote euhydration. In our sample, participants were consuming nearly 1 L less than the total dietary water intake recommendations and consumed ~3.5 cups of drinking water per day. Strategies to promote increasing drinking water intake may be warranted to promote euhydration as well as weight loss within this population51,53,54,56.

There are a few limitations to our study that we should acknowledge. First of all, this was a relatively small sample. However, few studies have focused on the dietary habits of African American breast cancer survivors, and to our knowledge none have presented data on beverage intake in African American breast cancer survivors. Given the associations with breast cancer treatment and weight gain, reducing energy-containing beverage intake may be an important target for nutrition education within this population. Also, our sample size is similar to previous interventions targeting African American breast cancer survivors11. Another limitation is that we used self-reported dietary data. We tried to overcome this limitation by utilizing two methods of dietary intake collection. Finally, the majority of women in our study were well educated and therefore our dietary reports may not reflect those of individuals with lower levels of education. Previous investigations have shown that higher levels of education may be associated with increased diet quality5759. This may be explained by increased nutritional knowledge and the ability to utilize this knowledge to make better dietary selections. However, the proportion of women with at least some college education in our study is similar to prior data we have collected from the Washington, DC metro area60. Despite higher education levels among our participants, many women in our study failed to meet many of the dietary recommendations, which is consistent with overall dietary patterns of American adults 57,58,61. Though the results of this study cannot be extrapolated to the general population, we present nutrition education targets that could be incorporated into weight management programs or interventions for African American breast cancer survivors. African American breast cancer survivors have higher rates of obesity than survivors of other racial groups and are more likely to have comorbidities such as hypertension or diabetes62. Interventions to improve dietary behaviors are warranted in this population to reduce obesity and other related comorbidities.

Conclusions

According to our results, future interventions targeting nutrition education in African American breast cancer survivors should focus on decreasing fat intake as a means to reduce dietary energy density, increasing whole grain consumption, and reducing consumption of added sugars and energy containing beverages. Current recommendations suggest increasing fruit and vegetable intake; yet, our sample was currently exceeding these recommendations. Providers may want to consider promoting the ACS guidelines for survivors in addition to other national guidelines such as the USDA 2010 Dietary Guidelines or the American Heart Association dietary recommendations so that survivors have quantitative guidelines to follow as opposed to broader recommendations. Simple dietary interventions that focus on these nutrition education targets presented could be administered during treatments or doctor's visits as a means to prevent weight gain that often occurs following diagnosis.

References

  • 1.Centers for Disease C, Prevention Cancer survivors--United States, 2007. MMWR Morbidity and mortality weekly report. 2011;60:269–72. [PubMed] [Google Scholar]
  • 2.Nichols HB, Trentham-Dietz A, Egan KM, et al. Body mass index before and after breast cancer diagnosis: associations with all-cause, breast cancer, and cardiovascular disease mortality. Cancer Epidemiol Biomarkers Prev. 2009;18:1403–9. doi: 10.1158/1055-9965.EPI-08-1094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Thivat E, Therondel S, Lapirot O, et al. Weight change during chemotherapy changes the prognosis in non metastatic breast cancer for the worse. BMC cancer. 2010;10:648. doi: 10.1186/1471-2407-10-648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Chlebowski RT, Weiner JM, Reynolds R, Luce J, Bulcavage L, Bateman JR. Long-term survival following relapse after 5-FU but not CMF adjuvant breast cancer therapy. Breast cancer research and treatment. 1986;7:23–30. doi: 10.1007/BF01886732. [DOI] [PubMed] [Google Scholar]
  • 5.Sheppard VB, Makambi K, Taylor T, Wallington SF, Sween J, Adams-Campbell L. Physical activity reduces breast cancer risk in African American women. Ethnicity & disease. 2011;21:406–11. [PMC free article] [PubMed] [Google Scholar]
  • 6.Doyle JJ, Neugut AI, Jacobson JS, Grann VR, Hershman DL. Chemotherapy and cardiotoxicity in older breast cancer patients: a population-based study. J Clin Oncol. 2005;23:8597–605. doi: 10.1200/JCO.2005.02.5841. [DOI] [PubMed] [Google Scholar]
  • 7.Guh DP, Zhang W, Bansback N, Amarsi Z, Birmingham CL, Anis AH. The incidence of comorbidities related to obesity and overweight: a systematic review and meta-analysis. BMC public health. 2009;9:88. doi: 10.1186/1471-2458-9-88. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Villareal DT, Apovian CM, Kushner RF, Klein S. Obesity in older adults: technical review and position statement of the American Society for Nutrition and NAASO, The Obesity Society. Obesity research. 2005;13:1849–63. doi: 10.1038/oby.2005.228. [DOI] [PubMed] [Google Scholar]
  • 9.Reynolds SL, Saito Y, Crimmins EM. The impact of obesity on active life expectancy in older American men and women. The Gerontologist. 2005;45:438–44. doi: 10.1093/geront/45.4.438. [DOI] [PubMed] [Google Scholar]
  • 10.Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM. Prevalence of overweight and obesity in the United States, 1999–2004. JAMA : the journal of the American Medical Association. 2006;295:1549–55. doi: 10.1001/jama.295.13.1549. [DOI] [PubMed] [Google Scholar]
  • 11.Stolley MR, Sharp LK, Oh A, Schiffer L. A weight loss intervention for African American breast cancer survivors, 2006. Preventing chronic disease. 2009;6:A22. [PMC free article] [PubMed] [Google Scholar]
  • 12.U.S. Department of Agriculture and U.S. Department of Health and Human Services . Dietary Guidelines for Americans, 2010. US Government Printing Office; Washington, DC: 2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pierce JP, Natarajan L, Caan BJ, et al. Influence of a diet very high in vegetables, fruit, and fiber and low in fat on prognosis following treatment for breast cancer: the Women's Healthy Eating and Living (WHEL) randomized trial. JAMA. 2007;298:289–98. doi: 10.1001/jama.298.3.289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Paxton RJ, Jones LA, Chang S, et al. Was race a factor in the outcomes of the Women's Health Eating and Living Study? Cancer. 2011;117:3805–13. doi: 10.1002/cncr.25957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Saquib N, Natarajan L, Rock CL, et al. The impact of a long-term reduction in dietary energy density on body weight within a randomized diet trial. Nutrition and cancer. 2008;60:31–8. doi: 10.1080/01635580701621320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Rolls BJ. The relationship between dietary energy density and energy intake. Physiol Behav. 2009;97:609–15. doi: 10.1016/j.physbeh.2009.03.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Rock CL, Doyle C, Demark-Wahnefried W, et al. Nutrition and physical activity guidelines for cancer survivors. CA: a cancer journal for clinicians. 2012;62:243–74. doi: 10.3322/caac.21142. [DOI] [PubMed] [Google Scholar]
  • 18.Kushi LH, Doyle C, McCullough M, et al. American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA: a cancer journal for clinicians. 2012;62:30–67. doi: 10.3322/caac.20140. [DOI] [PubMed] [Google Scholar]
  • 19.Subar AF, Thompson FE, Kipnis V, et al. Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study. Am J Epidemiol. 2001;154:1089–99. doi: 10.1093/aje/154.12.1089. [DOI] [PubMed] [Google Scholar]
  • 20.Thompson FE, Subar AF, Brown CC, et al. Cognitive research enhances accuracy of food frequency questionnaire reports: results of an experimental validation study. J Am Diet Assoc. 2002;102:212–25. doi: 10.1016/s0002-8223(02)90050-7. [DOI] [PubMed] [Google Scholar]
  • 21.Wiseman M. The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: a global perspective. The Proceedings of the Nutrition Society. 2008;67:253–6. doi: 10.1017/S002966510800712X. [DOI] [PubMed] [Google Scholar]
  • 22.Research WCRF/AICR . Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective. AICR; Washington DC: 2007. [Google Scholar]
  • 23.Institute of Medicine, editor. Dietary Reference Intakes for Water, Potassium, Sodium, Chloride, and Sulfate. National Academy Press; Washington, DC: 2004. [Google Scholar]
  • 24.Lichtenstein AH, Appel LJ, Brands M, et al. Summary of American Heart Association Diet and Lifestyle Recommendations revision 2006. Arteriosclerosis, thrombosis, and vascular biology. 2006;26:2186–91. doi: 10.1161/01.ATV.0000238352.25222.5e. [DOI] [PubMed] [Google Scholar]
  • 25.National Cholesterol Education Program Expert Panel on Detection Evaluation and Treatment of High Blood Cholesterol in Adults Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002;106:3143–421. [PubMed] [Google Scholar]
  • 26.U.S. Department of Agriculture ARS Food and Nutrient Intakes by Individuals in the United States, by Sex and Age, 1994–96. Springfield, VA1998. Report No.: 96–2.
  • 27.Johnson RK, Appel LJ, Brands M, et al. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation. 2009;120:1011–20. doi: 10.1161/CIRCULATIONAHA.109.192627. [DOI] [PubMed] [Google Scholar]
  • 28.U.S. Department of Agriculture and U.S. Department of Health and Human Services . In: Dietary Guidelines for Americans 2005. 6th ed Department of Health and Human Services, editor. US Department of Agriculture; Washington, DC: 2005. [Google Scholar]
  • 29.Heimendinger J. Community nutrition intervention strategies for cancer risk reduction. Cancer. 1993;72:1019–23. doi: 10.1002/1097-0142(19930801)72:3+<1019::aid-cncr2820721313>3.0.co;2-b. [DOI] [PubMed] [Google Scholar]
  • 30.Erinosho TO, Moser RP, Oh AY, Nebeling LC, Yaroch AL. Awareness of the Fruits and Veggies-More Matters campaign, knowledge of the fruit and vegetable recommendation, and fruit and vegetable intake of adults in the 2007 Food Attitudes and Behaviors (FAB) Survey. Appetite. 2012;59:155–60. doi: 10.1016/j.appet.2012.04.010. [DOI] [PubMed] [Google Scholar]
  • 31.Bachman JL, Reedy J, Subar AF, Krebs-Smith SM. Sources of food group intakes among the US population, 2001–2002. J Am Diet Assoc. 2008;108:804–14. doi: 10.1016/j.jada.2008.02.026. [DOI] [PubMed] [Google Scholar]
  • 32.Bleich SN, Wang YC, Wang Y, Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999–2004. The American Journal of Clinical Nutrition. 2009;89:372–81. doi: 10.3945/ajcn.2008.26883. [DOI] [PubMed] [Google Scholar]
  • 33.Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet. 2001;357:505–8. doi: 10.1016/S0140-6736(00)04041-1. [DOI] [PubMed] [Google Scholar]
  • 34.Lin BH, Huang CL, French SA. Factors associated with women's and children's body mass indices by income status. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity. 2004;28:536–42. doi: 10.1038/sj.ijo.0802604. [DOI] [PubMed] [Google Scholar]
  • 35.Malik VS, Popkin BM, Bray GA, Despres JP, Willett WC, Hu FB. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis. Diabetes care. 2010;33:2477–83. doi: 10.2337/dc10-1079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Schulze MB, Manson JE, Ludwig DS, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA : the journal of the American Medical Association. 2004;292:927–34. doi: 10.1001/jama.292.8.927. [DOI] [PubMed] [Google Scholar]
  • 37.Maersk M, Belza A, Stodkilde-Jorgensen H, et al. Sucrose-sweetened beverages increase fat storage in the liver, muscle, and visceral fat depot: a 6-mo randomized intervention study. The American Journal of Clinical Nutrition. 2012;95:283–9. doi: 10.3945/ajcn.111.022533. [DOI] [PubMed] [Google Scholar]
  • 38.Maersk M, Belza A, Holst JJ, et al. Satiety scores and satiety hormone response after sucrose-sweetened soft drink compared with isocaloric semi-skimmed milk and with non-caloric soft drink: a controlled trial. European journal of clinical nutrition. 2012 doi: 10.1038/ejcn.2011.223. [DOI] [PubMed] [Google Scholar]
  • 39.Dhingra R, Sullivan L, Jacques PF, et al. Soft drink consumption and risk of developing cardiometabolic risk factors and the metabolic syndrome in middle-aged adults in the community. Circulation. 2007;116:480–8. doi: 10.1161/CIRCULATIONAHA.107.689935. [DOI] [PubMed] [Google Scholar]
  • 40.DiMeglio DP, Mattes RD. Liquid versus solid carbohydrate: effects on food intake and body weight. Int J Obes Relat Metab Disord. 2000;24:794–800. doi: 10.1038/sj.ijo.0801229. [DOI] [PubMed] [Google Scholar]
  • 41.Mattes R. Fluid calories and energy balance: the good, the bad, and the uncertain. Physiol Behav. 2006;89:66–70. doi: 10.1016/j.physbeh.2006.01.023. [DOI] [PubMed] [Google Scholar]
  • 42.Mattes RD. Dietary compensation by humans for supplemental energy provided as ethanol or carbohydrate in fluids. Physiol Behav. 1996;59:179–87. doi: 10.1016/0031-9384(95)02007-1. [DOI] [PubMed] [Google Scholar]
  • 43.Stull AJ, Apolzan JW, Thalacker-Mercer AE, Iglay HB, Campbell WW. Liquid and solid meal replacement products differentially affect postprandial appetite and food intake in older adults. J Am Diet Assoc. 2008;108:1226–30. doi: 10.1016/j.jada.2008.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Demark-Wahnefried W, Winer EP, Rimer BK. Why women gain weight with adjuvant chemotherapy for breast cancer. J Clin Oncol. 1993;11:1418–29. doi: 10.1200/JCO.1993.11.7.1418. [DOI] [PubMed] [Google Scholar]
  • 45.Goodwin PJ, Ennis M, Pritchard KI, et al. Adjuvant treatment and onset of menopause predict weight gain after breast cancer diagnosis. J Clin Oncol. 1999;17:120–9. doi: 10.1200/JCO.1999.17.1.120. [DOI] [PubMed] [Google Scholar]
  • 46.Hoskin PJ, Ashley S, Yarnold JR. Weight gain after primary surgery for breast cancer--effect of tamoxifen. Breast cancer research and treatment. 1992;22:129–32. doi: 10.1007/BF01833342. [DOI] [PubMed] [Google Scholar]
  • 47.Irwin ML, McTiernan A, Baumgartner RN, et al. Changes in body fat and weight after a breast cancer diagnosis: influence of demographic, prognostic, and lifestyle factors. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2005;23:774–82. doi: 10.1200/JCO.2005.04.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Nissen MJ, Shapiro A, Swenson KK. Changes in weight and body composition in women receiving chemotherapy for breast cancer. Clinical breast cancer. 2011;11:52–60. doi: 10.3816/CBC.2011.n.009. [DOI] [PubMed] [Google Scholar]
  • 49.Tredan O, Bajard A, Meunier A, et al. Body weight change in women receiving adjuvant chemotherapy for breast cancer: a French prospective study. Clinical nutrition. 2010;29:187–91. doi: 10.1016/j.clnu.2009.08.003. [DOI] [PubMed] [Google Scholar]
  • 50.Davy BM, Dennis EA, Akers J, Dengo AL, Davy KP. Increased Premeal Water Consumption is Associated With Rapid Initial Weight Loss (Abstract). Presented at the Obesity Society Meeting.2008. [Google Scholar]
  • 51.Dennis EA, Dengo AL, Comber DL, et al. Water consumption increases weight loss during a hypocaloric diet intervention in middle-aged and older adults. Obesity (Silver Spring, Md) 2010;18:300–7. doi: 10.1038/oby.2009.235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Raben A, Vasilaras TH, Moller AC, Astrup A. Sucrose compared with artificial sweeteners: different effects on ad libitum food intake and body weight after 10 wk of supplementation in overweight subjects. Am J Clin Nutr. 2002;76:721–9. doi: 10.1093/ajcn/76.4.721. [DOI] [PubMed] [Google Scholar]
  • 53.Stookey JD, Constant F, Popkin BM, Gardner CD. Drinking water is associated with weight loss in overweight dieting women independent of diet and activity. Obesity (Silver Spring, Md) 2008;16:2481–8. doi: 10.1038/oby.2008.409. [DOI] [PubMed] [Google Scholar]
  • 54.Tate DF, Turner-McGrievy G, Lyons E, et al. Replacing caloric beverages with water or diet beverages for weight loss in adults: main results of the Choose Healthy Options Consciously Everyday (CHOICE) randomized clinical trial. Am J Clin Nutr. 2012;95:555–63. doi: 10.3945/ajcn.111.026278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Tordoff MG, Alleva AM. Effect of drinking soda sweetened with aspartame or high-fructose corn syrup on food intake and body weight. Am J Clin Nutr. 1990;51:963–9. doi: 10.1093/ajcn/51.6.963. [DOI] [PubMed] [Google Scholar]
  • 56.Stookey JD, Constant F, Gardner CD, Popkin BM. Replacing sweetened caloric beverages with drinking water is associated with lower energy intake. Obesity (Silver Spring, Md) 2007;15:3013–22. doi: 10.1038/oby.2007.359. [DOI] [PubMed] [Google Scholar]
  • 57.Ervin RB. Healthy Eating Index--2005 total and component scores for adults aged 20 and over: National Health and Nutrition Examination Survey, 2003–2004. National health statistics reports. 2011:1–9. [PubMed] [Google Scholar]
  • 58.Hiza HA, Casavale KO, Guenther PM, Davis CA. Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. Journal of the Academy of Nutrition and Dietetics. 2013;113:297–306. doi: 10.1016/j.jand.2012.08.011. [DOI] [PubMed] [Google Scholar]
  • 59.McCabe-Sellers BJ, Bowman S, Stuff JE, Champagne CM, Simpson PM, Bogle ML. Assessment of the diet quality of US adults in the Lower Mississippi Delta. Am J Clin Nutr. 2007;86:697–706. doi: 10.1093/ajcn/86.3.697. [DOI] [PubMed] [Google Scholar]
  • 60.Sheppard VB, Mays D, LaVeist T, Tercyak KP. Medical Mistrust Influences Black Women's Level of Engagement in BRCA1/2 Genetic Counseling and Testing. Journal of the National Medical Association. 2013;105 doi: 10.1016/s0027-9684(15)30081-x. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Kimmons J, Gillespie C, Seymour J, Serdula M, Blanck HM. Fruit and vegetable intake among adolescents and adults in the United States: percentage meeting individualized recommendations. Medscape journal of medicine. 2009;11:26. [PMC free article] [PubMed] [Google Scholar]
  • 62.White A, Pollack LA, Smith JL, Thompson T, Underwood JM, Fairley T. Racial and ethnic differences in health status and health behavior among breast cancer survivors-Behavioral Risk Factor Surveillance System, 2009. Journal of cancer survivorship : research and practice. 2012 doi: 10.1007/s11764-012-0248-4. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES