Skip to main content

Advertisement

Log in

Relationship between fruit and vegetable intake and interference control in breast cancer survivors

  • Original Contribution
  • Published:
European Journal of Nutrition Aims and scope Submit manuscript

Abstract

Purpose

Nutrition plays an important role in brain structure and function, and the effects of diet may even be greater in those at greater risk of cognitive decline, such as individuals with cancer-related cognitive impairment. However, the relation of dietary components to cognitive function in cancer survivors is unknown. The objective of this study was to determine whether breast cancer survivors (BCS) evidenced impairments in interference control, a component of cognitive control, compared to age-matched women with no prior history of cancer, and to examine the moderating role of diet on cognitive function.

Methods

In this cross-sectional study, a modified flanker task was used to assess interference control in BCS (n = 31) and age-matched women with no prior history of cancer (n = 30). Diet was assessed with 3-day food records. Differences between BCS and age-matched controls were assessed using linear mixed models, and multilevel regression analyses were conducted to assess the moderating role of diet on cognitive performance.

Results

Cognitive performance was not different between groups. Fruit intake and vegetable intake were significantly associated with better performance on the incompatible condition of the flanker task (i.e., shorter reaction time and increased accuracy), independent of disease status. The association between dietary components and cognition was stronger for the incompatible incongruent condition, suggesting that fruit and vegetables may be important for the up-regulation of cognitive control when faced with higher cognitive demands.

Conclusions

There was no difference in performance on an interference control task between BCS and age-matched controls. The data suggest that greater fruit intake and vegetable intake were positively associated with interference control in both BCS and age-matched controls.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Siegel R, Ma J, Zou Z, Jemal A (2014) Cancer statistics, 2014. CA Cancer J Clin 64:9–29

    Article  Google Scholar 

  2. Walker CH, Drew BA, Antoon JW, Kalueff AV, Beckman BS (2012) Neurocognitive effects of chemotherapy and endocrine therapies in the treatment of breast cancer: recent perspectives. Cancer Invest 30:135–148

    Article  CAS  Google Scholar 

  3. Pullens MJJ, De Vries J, Roukema JA (2010) Subjective cognitive dysfunction in breast cancer patients: a systematic review. Psychooncology 19:1127–1138

    Article  Google Scholar 

  4. Asher A (2011) Cognitive dysfunction among cancer survivors. Am J Phys Med Rehabil 90:S16–S26

    Article  Google Scholar 

  5. Evens K, Eschiti VS (2009) Cognitive effects of cancer treatment: “Chemo brain” explained. Clin J Oncol Nurs 13:661–666

    Article  Google Scholar 

  6. Wefel JS, Lenzi R, Theriault RL, Davis RN, Meyers CA (2004) The cognitive sequelae of standard-dose adjuvant chemotherapy in women with breast carcinoma: results of a prospective, randomized, longitudinal trial. Cancer 100:2292–2299

    Article  CAS  Google Scholar 

  7. Janelsins MC, Kesler SR, Ahles TA, Morrow GR (2014) Prevalence, mechanisms, and management of cancer-related cognitive impairment. Int Rev Psychiatry 26:102–113

    Article  Google Scholar 

  8. Argyriou AA, Assimakopoulos K, Iconomou G, Giannakopoulou F, Kalofonos HP (2011) Either called “chemobrain” or “chemofog,” the long-term chemotherapy-induced cognitive decline in cancer survivors is real. J Pain Symptom Manage 41:126–139

    Article  Google Scholar 

  9. Miller EK, Cohen JD (2001) An integrative theory of prefrontal cortex function. Annu Rev Neurosci 24:167

    Article  CAS  Google Scholar 

  10. Diamond A (2013) Executive functions. Annu Rev Psychol 64:135–168

    Article  Google Scholar 

  11. Stonehouse W (2014) Does consumption of LC omega-3 PUFA enhance cognitive performance in healthy school-aged children and throughout adulthood? Evidence from Clinical Trials. Nutrients 6:2730–2758

    Article  Google Scholar 

  12. Malouf R, Evans JG (2008) Folic acid with or without vitamin B12 for the prevention and treatment of healthy elderly and demented people. Cochrane Database Syst Rev 4:CD004514. doi:10.1002/14651858.CD004514.pub2

    Google Scholar 

  13. Balk EM, Raman G, Tatsioni A, Chung M, Lau J, Rosenberg IH (2007) Vitamin B-6, B-12, and folic acid supplementation and cognitive function—a systematic review of randomized trials. Arch Intern Med 167:21–30

    Article  CAS  Google Scholar 

  14. Bowman GL, Silbert LC, Howieson D, Dodge HH, Traber MG, Frei B, Kaye JA, Shannon J, Quinn JF (2012) Nutrient biomarker patterns, cognitive function, and MRI measures of brain aging. Neurology 78:241–249

    Article  CAS  Google Scholar 

  15. Mosconi L, Murray J, Davies M, Williams S, Pirraglia E, Spector N et al (2014) Nutrient intake and brain biomarkers of Alzheimer’s disease in at-risk cognitively normal individuals: a cross-sectional neuroimaging pilot study. BMJ Open 4:e004850. doi:10.1136/bmjopen-2014-004850

    Article  Google Scholar 

  16. Nurk E, Refsum H, Drevon CA, Tell GS, Nygaard HA, Engedal K, Smith AD (2010) Cognitive performance among the elderly in relation to the intake of plant foods. The hordaland health study. Br J Nutr 104:1190–1201

    Article  CAS  Google Scholar 

  17. Polidori MC, Praticóc D, Mangialasche F, Mariani E, Aust O, Anlasik T et al (2009) High fruit and vegetable intake is positively correlated with antioxidant status and cognitive performance in healthy subjects. J Alzheimers Dis 17:921–927

    CAS  Google Scholar 

  18. Péneau S, Galan P, Jeandel C, Ferry M, Andreeva V, Hercberg S et al (2011) Fruit and vegetable intake and cognitive function in the SU.VI.MAX 2 prospective study. Am J Clin Nutr 94:1295

    Article  Google Scholar 

  19. Loef M, Walach H (2012) Fruit, vegetables and prevention of cognitive decline or dementia: a systematic review of cohort studies. J Nutr Health Aging 16:626–630

    Article  CAS  Google Scholar 

  20. Lourida I, Soni M, Thompson-Coon J, Purandare N, Lang IA, Ukoumunne OC et al (2013) Mediterranean diet, cognitive function, and dementia: a systematic review. Epidemiology 24:479–489

    Article  Google Scholar 

  21. Martínez-Lapiscina EH, Clavero P, Toledo E, Estruch R, Salas-Salvadó J, San Julián B, Sanchez-Tainta A, Ros E, Valls-Pedret C, Martinez-Gonzalez M (2013) Mediterranean diet improves cognition: the PREDIMED-NAVARRA randomised trial. J Neurol Neurosurg Psychiatry 84:1318–1325

    Article  Google Scholar 

  22. Bourre JM (2006) Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. Part 1: Micronutrients. J Nutr Health Aging 10:377–385

    CAS  Google Scholar 

  23. Spencer JPE (2009) Flavonoids and brain health: multiple effects underpinned by common mechanisms. Genes Nutr 4:243–250

    Article  CAS  Google Scholar 

  24. Bourre JM (2006) Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. Part 2: Macronutrients. J Nutr Health Aging 10:386–399

    CAS  Google Scholar 

  25. Pontifex MB, Raine LB, Johnson CR, Chaddock L, Voss MW, Cohen NJ, Kramer AF, Hillman CH (2011) Cardiorespiratory fitness and the flexible modulation of cognitive control in preadolescent children. J Cogn Neurosci 23:1332–1345

    Article  Google Scholar 

  26. Pontifex MB, Hillman CH (2007) Neuroelectric and behavioral indices of interference control during acute cycling. J Clin Neurophysiol 118:570–580

    Article  Google Scholar 

  27. Eriksen B, Eriksen C (1974) Effects of noise letters in the identification of target letters in a non-search task. Percept Psychophys 16:143–149

    Article  Google Scholar 

  28. Fan J, Flombaum JI, McCandliss BD, Thomas KM, Posner MI (2003) Cognitive and brain consequences of conflict. Neuroimage 18:42–57

    Article  Google Scholar 

  29. Cohen J (1988) Statistical power analysis for the behavioral sciences. Lawrence Earlbaum Associates, New Jersey

    Google Scholar 

  30. Heck RH, Thomas SL, Tabata LN (2013) Multilevel and longitudinal modeling with IBM SPSS. Routledge, New York

    Google Scholar 

  31. Hox J (2010) Multilevel analysis: techniques and applications. Routledge, New York

    Google Scholar 

  32. Nezlek JB (2012) Multilevel modeling for psychologists. In: Cooper H (ed) APA handbook of research methods in psychology: data analysis and research publication, vol 3. American Psychological Association, Washington, DC, pp 219–241

    Chapter  Google Scholar 

  33. U.S. Department of Agriculture and U.S. Department of Health and Human Services (2010) Dietary Guidelines for Americans, 2010, 7th edn. U.S. Government Printing Office, Washington, DC

    Google Scholar 

  34. Stewart A, Bielajew C, Collins B, Parkinson M, Tomiak E (2006) A meta-analysis of the neuropsychological effects of adjuvant chemotherapy treatment in women treated for breast cancer. J Clin Neuropsychol 20:76–89

    Article  Google Scholar 

  35. Falleti MG, Sanfilippo A, Maruff P, Weih L, Phillips K (2005) The nature and severity of cognitive impairment associated with adjuvant chemotherapy in women with breast cancer: a meta-analysis of the current literature. Brain Cogn 59:60–70

    Article  Google Scholar 

  36. Jim HSL, Phillips KM, Chait S, Faul LA, Popa MA, Lee Y et al (2012) Meta-analysis of cognitive functioning in breast cancer survivors previously treated with standard-dose chemotherapy. J Clin Oncol 30:3578–3587

    Article  CAS  Google Scholar 

  37. Ferguson RJ, McDonald BC, Saykin AJ, Ahles TA (2007) Brain structure and function differences in monozygotic twins: possible effects of breast cancer chemotherapy. J Clin Oncol 25:3866–3870

    Article  Google Scholar 

  38. Hosseini SMH, Kesler SR (2014) Multivariate pattern analysis of fMRI in breast cancer survivors and healthy women. J Int Neuropsychol Soc 20:391–401

    Article  Google Scholar 

  39. McDonald BC, Conroy SK, Ahles TA, West JD, Saykin AJ (2012) Alterations in brain activation during working memory processing associated with breast cancer and treatment: a prospective functional magnetic resonance imaging study. J Clin Oncol 30:2500–2508

    Article  Google Scholar 

  40. Silverman DHS, Dy CJ, Castellon SA, Lai J, Pio BS, Abraham L, Waddell K, Petersen L, Phelps ME, Ganz PA (2007) Altered frontocortical, cerebellar, and basal ganglia activity in adjuvant-treated breast cancer survivors 5-10 years after chemotherapy. Breast Cancer Res Treat 103:303–311

    Article  CAS  Google Scholar 

  41. de Ruiter MB, Reneman L, Boogerd W, Veltman DJ, van Dam FSAM, Nederveen AJ, Boven E, Schagen SB (2011) Cerebral hyporesponsiveness and cognitive impairment 10 years after chemotherapy for breast cancer. Hum Brain Mapp 32:1206–1219

    Article  Google Scholar 

  42. Koppelmans V, Ruiter M, Lijn F, Boogerd W, Seynaeve C, Lugt A, Vrooman H, Niessen W, Breteler MMB, Schagen S (2012) Global and focal brain volume in long-term breast cancer survivors exposed to adjuvant chemotherapy. Breast Cancer Res Treat 132:1099–1106

    Article  CAS  Google Scholar 

  43. Ahles TA, Saykin AJ, McDonald BC, Li Y, Furstenberg CT, Hanscom BS et al (2010) Longitudinal assessment of cognitive changes associated with adjuvant treatment for breast cancer: impact of age and cognitive reserve. J Clin Oncol 28:4434–4440

    Article  Google Scholar 

  44. Collins B, Mackenzie J, Stewart A, Bielajew C, Verma S (2009) Cognitive effects of chemotherapy in post-menopausal breast cancer patients 1 year after treatment. Psychooncology 18:134–143

    Article  Google Scholar 

  45. Jansen C, Cooper B, Dodd M, Miaskowski C (2011) A prospective longitudinal study of chemotherapy-induced cognitive changes in breast cancer patients. Support Care Cancer 19:1647–1656

    Article  Google Scholar 

  46. Sherry CL, Kim SS, Dilger RN, Bauer LL, Moon ML, Tapping RI et al (2010) Sickness behavior induced by endotoxin can be mitigated by the dietary soluble fiber, pectin, through up-regulation of IL-4 and Th2 polarization. Brain Behav Immun 24:631–640

    Article  CAS  Google Scholar 

  47. Govindarajan N, Agis-Balboa R, Walter J, Sananbenesi F, Fischer A (2011) Sodium butyrate improves memory function in an Alzheimer’s disease mouse model when administered at an advanced stage of disease progression. J Alzheimer’s Dis 26:187–197

    CAS  Google Scholar 

  48. Fischer A, Sananbenesi F, Wang X, Dobbin M, Tsai L- (2007) Recovery of learning and memory is associated with chromatin remodelling. Nature 447:178–182

    Article  CAS  Google Scholar 

  49. Nooyens ACJ, Bueno-De-Mesquita HB, Van Boxtel MPJ, Van Gelder BM, Verhagen H, Verschuren WMM (2011) Fruit and vegetable intake and cognitive decline in middle-aged men and women: the Doetinchem Cohort Study. Br J Nutr 106:752–761

    Article  CAS  Google Scholar 

  50. Kang JH, Ascherio A, Grodstein F (2005) Fruit and vegetable consumption and cognitive decline in aging women. Ann Neurol 57:713–720

    Article  Google Scholar 

  51. Kesler SR, Kent JS, O’Hara R (2011) Prefrontal cortex and executive function impairments in primary breast cancer. Arch Neurol 68:1447–1453

    Article  Google Scholar 

Download references

Acknowledgments

The authors extend appreciation to Ruth Franklin Sosnoff, Ph.D for project coordination, and to Kendrith M. Rowland Jr., MD and his clinical research staff.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Krystle E. Zuniga.

Ethics declarations

Financial support

Lauren B. Raine was supported by the National Institute for Agriculture under the Illinois Transdisciplinary Obesity Prevention Program grant (2011-67001-30101) to the Division of Nutritional Sciences at the University of Illinois.

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the University of Illinois Institutional Review Board and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zuniga, K.E., Mackenzie, M.J., Roberts, S.A. et al. Relationship between fruit and vegetable intake and interference control in breast cancer survivors. Eur J Nutr 55, 1555–1562 (2016). https://doi.org/10.1007/s00394-015-0973-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00394-015-0973-3

Keywords

Navigation