Item-level psychometrics of a brief self-reported memory problem screening measure in breast cancer survivors

References

• Gonzalez BD, Jim HS, Booth-Jones M, et al. Course and predictors of cognitive function in patients with prostate cancer receiving androgen-deprivation therapy: a controlled comparison. J Clin Oncol. 2015;33(18):2021–2027.
   PubMed Web of Science ®Google Scholar
• Ahles TA, Saykin AJ, Furstenberg CT, et al. Neuropsychological impact of standard-dose systemic chemotherapy in long-term survivors of breast cancer and lymphoma. J Clin Oncol. 2002;20(2):485–493.
   PubMed Web of Science ®Google Scholar
• Falleti MG, Sanfilippo A, Maruff P, et al. 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. 2005;59:60–70.
   PubMed Web of Science ®Google Scholar
• Saykin AJ, Ahles TA, McDonald BC. Mechanisms of chemotherapy-induced cognitive disorders: neuropsychological, pathophysiological, and neuroimaging perspectives. Semin Clin Neuropsychiatry. 2003;8(4):201–216.
   PubMedGoogle Scholar
• Cruzado JA, López-Santiago S, Martínez-Marín V, et al. Longitudinal study of cognitive dysfunctions induced by adjuvant chemotherapy in colon cancer patients. Support Care Cancer. 2014;22(7):1815–1823.
   PubMed Web of Science ®Google Scholar
• Tchen N, Juffs HG, Downie FP, et al. Cognitive function, fatigue, and menopausal symptoms in women receiving adjuvant chemotherapy for breast cancer. J Clin Oncol. 2003;21(22):4175–4183.
   PubMed Web of Science ®Google Scholar
• Hess LM, Huang HQ, Hanlon AL, et al. Cognitive function during and six months following chemotherapy for front-line treatment of ovarian, primary peritoneal or fallopian tube cancer: an NRG oncology/gynecologic oncology group study. Gynecol Oncol. 2015;139(3):541–545.
   PubMed Web of Science ®Google Scholar
• Correa DD, Ahles TA. Neurocognitive changes in cancer survivors. Cancer J. 2008;14(6):396–400.
   PubMed Web of Science ®Google Scholar
• Jean-Pierre P, Johnson-Greene D, Burish TG. Neuropsychological care and rehabilitation of cancer patients with chemobrain: strategies for evaluation and intervention development. Support Care Cancer. 2014;22(8):2251–2260.
   PubMed Web of Science ®Google Scholar
• Jean-Pierre P, Winters PC, Ahles TA, et al. Prevalence of self-reported memory problems in adult cancer survivors: a national cross-sectional study. J Oncol Pract. 2012;8(1):30–34.
   PubMedGoogle Scholar
• Jean-Pierre P, McDonald BC. Neuroepidemiology of cancer and treatment-related neurocognitive dysfunction in adult-onset cancer patients and survivors. Handb Clin Neurol. 2016;138:297–309.
   PubMedGoogle Scholar
• Kohli S, Griggs JJ, Roscoe JA, et al. Self-reported cognitive impairments in patients with cancer. J Oncol Pract. 2007;3(2):54–59.
   PubMedGoogle Scholar
• Shilling V, Jenkins V. Self-reported cognitive problems in women receiving adjuvant therapy for breast cancer. Eur J Oncol Nurs. 2007;11(1):6–15.
   PubMed Web of Science ®Google Scholar
• Von Ah D, Habermann B, Carpenter JS, et al. Impact of perceived cognitive impairment in breast cancer survivors. Eur J Oncol Nurs. 2013;17(2):236–241.
   PubMed Web of Science ®Google Scholar
• Jean-Pierre P. Integrating functional near-infrared spectroscopy in the characterization, assessment, and monitoring of cancer and treatment-related neurocognitive dysfunction. Neuroimage. 2014;85:408–414.
   PubMed Web of Science ®Google Scholar
• Lambert M, Ouimet LA, Wan C, et al. Cancer-related cognitive impairment in breast cancer survivors: an examination of conceptual and statistical cognitive domains using principal component analysis. Oncol Rev. 2018;12(2):371.
   PubMed Web of Science ®Google Scholar
• Pullens MJ, De Vries J, Roukema JA. Subjective cognitive dysfunction in breast cancer patients: a systematic review. Psychooncology. 2010;19(11):1127–1138.
   PubMed Web of Science ®Google Scholar
• Hutchinson AD, Hosking JR, Kichenadasse G, et al. Objective and subjective cognitive impairment following chemotherapy for cancer: a systematic review. Cancer Treat Rev. 2012;38(7):926–934.
   PubMed Web of Science ®Google Scholar
• Jean-Pierre P, Morrow GR, Mohile SG, et al. A brief patient self-report screening measure of cancer treatment-related memory problems: latent structure and reliability analysis. Treat Strateg Oncol. 2011;2(1):93–95.
   PubMedGoogle Scholar
• Jean-Pierre P. Management of cancer-related cognitive dysfunction-conceptualization challenges and implications for clinical research and practice. US Oncol. 2010;6:9–12.
   PubMedGoogle Scholar
• Kintsch KC, Healy AF, Hegarty M, et al. Models of working memory: eight questions and some general issues. In: Miyake A, Shah P, editors. Models of working memory: mechanisms of active maintenance and executive control. New York (NY): Cambridge University Press; 1999. p. 412–441.
   Google Scholar
• Miyake A, Shas P. Towards unified theories of working memory: emerging general consensus unresolved theoretical issues, and future research directions. In: Miyake A, Shah P, editors. Models of working memory: mechanisms of active maintenance and executive control. New York (NY): Cambridge University Press; 1999. p. 442–481.
   Google Scholar
• Awh E, Vogel EK, Oh SH. Interactions between attention and working memory. Neuroscience. 2006;139(1):201–208.
   PubMed Web of Science ®Google Scholar
• Hann DM, Jacobsen PB, Azzarello LM, et al. Measurement of fatigue in cancer patients: development and validation of the Fatigue Symptom Inventory. Qual Life Res. 1998;7(4):301–310.
   PubMed Web of Science ®Google Scholar
• Hann DM, Denniston MM, Baker F. Measurement of fatigue in cancer patients: further validation of the Fatigue Symptom Inventory. Qual Life Res. 2000;9(7):847–854.
   PubMed Web of Science ®Google Scholar
• Cleeland CS, Ryan KM. Pain assessment: global use of the Brief Pain Inventory. Ann Acad Med Singapore. 1994;23(2):129–138.
   PubMedGoogle Scholar
• Löwe B, Wahl I, Rose M, et al. A 4-item measure of depression and anxiety: validation and standardization of the patient health questionnaire-4 (PHQ-4) in the general population. J Affect Disord. 2010;122(1–2):86–95.
   PubMed Web of Science ®Google Scholar
• Holt CL, Clark EM, Klem PR. Expansion and validation of the spiritual health locus of control scale: factor analysis and predictive validity. J Health Psychol. 2007;12(4):597–612.
   PubMed Web of Science ®Google Scholar
• Holt CL, Clark EM, Kreuter MW, et al. Spiritual health locus of control and breast cancer beliefs among urban African American women. Health Psychol. 2003;22(3):294–299.
   PubMed Web of Science ®Google Scholar
• Hu L, Bentler P. Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Struct Equat Model. 1999;6(1):1–55.
   Web of Science ®Google Scholar
• MacCallum C, Browne MW, Sugawara HM. Power analysis and determination of sample size for covariance structure modeling. Psychol Meth. 1996;1(2):130–149.
   Web of Science ®Google Scholar
• Zumbo BD. 1999. A handbook on the theory and methods of differential item functioning (DIF): logistic regression modeling as a unitary framework for binary and Likert-type (ordinal) item scores. Ottawa: Directorate of Human Resources Research and Evaluation, Department of National Defense.
   Google Scholar
• Hae JK, Se JS, Chang HYY, et al. The association between pain and depression, anxiety, and cognitive function among advanced cancer patients in the hospice ward. Korean J Fam Med. 2013;34(5):347–356.
   PubMedGoogle Scholar
• Spindler M, Koch K, Borisov E, et al. The influence of chronic pain and cognitive function on spatial-numerical processing. Front Behav Neurosci. 2018;12:165.
   PubMed Web of Science ®Google Scholar
• Verno KB, Cohen SH, Patrick JH. Spirituality and cognition: does spirituality influence what we attend to and remember? J Adult Dev. 2007;14(1–2):1–5.
   Web of Science ®Google Scholar
• Samejima F. The graded response model. In: van der Linden WJ, Hambleton R, editors. Handbook of modern item response theory. New York (NY): Springer; 1996. p. 85–100.
   Google Scholar
• Paek I, Cui M, Gubes N, et al. Estimation of an IRT model by Mplus for dichotomously scored responses under different estimation methods. Educ Psychol Meas. 2018;78(4):569–588.
   PubMed Web of Science ®Google Scholar
• Takane Y, de Leeuw J. On the relationship between item response theory and factor analysis of discretized variables. Psychometrika. 1987;52(3):393–408.
   Web of Science ®Google Scholar
• Bolt DM. Limited and full-information IRT estimation. In: Maydeu-Olivares A, McArdle J, editors. Contemporary psychometrics. Mahwah, NJ: Lawrence Erlbaum Associates; 2005. p. 27–71.
   Google Scholar
• Samuels P, Gilchrist M. Statistical hypothesis testing. Technical report. 2014. [cited 2019 Nov 4]. Available from: http://www.statstutor.ac.uk/resources/uploaded/statisticalhypothesistesting2.pdf.
   Google Scholar