Ando, M., et al. (2001). Prognostic value of performance status assessed by patients themselves, nurses, and oncologists in advanced non-small cell lung cancer. British Journal of Cancer, 85, 1634–1639.
Article
CAS
Google Scholar
Blagden, S. P., Charman, S. C., Sharples, L. D., Magee, L. R., & Gilligan, D. (2003). Performance status score: Do patients and their oncologists agree? British Journal of Cancer, 89, 1022–1027.
Article
CAS
Google Scholar
Busschaert, C., De Bourdeaudhuij, I., Van Holle, V., Chastin, S. F., Cardon, G., & De Cocker, K. (2015). Reliability and validity of three questionnaires measuring context-specific sedentary behaviour and associated correlates in adolescents, adults and older adults. International Journal of Behavioral Nutrition and Physical Activity, 12, 117. https://doi.org/10.1186/s12966-015-0277-2.
Carlozzi, N. E., et al. (2019). Understanding health-related quality of life of caregivers of civilians and service members/veterans with traumatic brain injury: Establishing the reliability and validity of PROMIS social health measures. Archives of Physical Medicine and Rehabilitation, 100, S110–S118.
Article
Google Scholar
Cella, D., Lai, J., Jensen, S. E., Christodoulou, C., Junghaenel, D. U., Reeve, B. B., & Stone, A. A. (2016). PROMIS fatigue ítem bank had clinical validity across diverse chronic conditions. Journal of Clinical Epidemiology, 73, 128–134.
Article
Google Scholar
Corre, R., et al. (2016). Use of a comprehensive geriatric assessment for the management of elderly patients with advanced non-small-cell lung cancer: The phase III randomized ESOGIA-GFPC-GECP 08-02 study. Journal of Clinical Oncology, 34, 1476–1483.
Article
CAS
Google Scholar
Ferguson, T., Rowlands, A. V., Olds, T., & Maher, C. (2015). The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: A cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 12, 42. https://doi.org/10.1186/s12966-015-0201-9.
Finkel, D., Andel, R., & Pedersen, N. L. (2016). Gender differences in longitudinal trajectories of change in physical, social, and cognitive/sedentary leisure activities. The Journals of Gerontology: Series B, 73(8):1491–1500.
Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: Wiley.
Google Scholar
Hahn, E. A., et al. (2014). New English and Spanish social health measures will facilitate evaluating health determinant. Health Psychology, 33, 490–499.
Article
Google Scholar
Janke, M., Davey, A., & Kleiber, D. (2006). Modeling change in older adults’ leisure activities. Leisure Sciences, 28, 285–303. https://doi.org/10.1080/01490400600598145.
Article
Google Scholar
Jensen, R. E., et al. (2014). Review of electronic patient-reported outcomes systems used in cancer clinical care. Journal of Oncology Practice, 10, e215–e222.
Article
Google Scholar
Karnofsky, D. A., Ableman, W. H., Craver, L. F., & Burchenal, J. H. (1948). The use of nitrogen mustard in the palliative treatment of carcinoma. Cancer, 1, 634–656.
Article
Google Scholar
Locklear, T., et al. (2017). Case studies from the clinic: Initiating and implementing patient-reported outcome measures. EGEMS (Generating Evidence & Methods to improve patient outcomes), 5:7.
McCorkle, R., Cooley, M. E., & Shea, J. A. (2000). A user’s manual for the symptom distress scale. Pittsburgh: University of Pennsylvania.
Google Scholar
National Institutes of Health. NIH policy on sex as a biological variable. 2019. https://orwh.od.nih.gov/sex-gender/nih-policy-sex-biological-variable.
Google Scholar
Nelson, M. B., Kaminsky, L. A., Dickin, D. C., Dickin, D. C., & Montoye, A. H. (2016). Validity of consumer-based physical activity monitors for specific activity types. Medicine & Science in Sports & Exercise, 48, 1619–1628.
Article
Google Scholar
Oken, M. M., Creech, R. H., Tormey, D. C., Horton, J., Davis, T. E., McFadden, E. T., & Carbone, P. P. (1982). Toxicity and response criteria of the eastern cooperative oncology group. American Journal of Clinical Oncology, 5, 649–655.
Article
CAS
Google Scholar
Pirl, W. F., et al. (2015). Actigraphy as an objective measure of performance status in patients with advanced cancer. In Paper presented at the palliative care in oncology symposium, Boston, Ma.
Google Scholar
Purswani, J. M., Ohri, N., & Champ, C. (2018). Tracking steps in oncology: The time is now. Cancer Management and Research, 10, 2439–2447.
Article
Google Scholar
Quinten, C., et al. (2009). Baseline quality of life as a prognostic indicator of survival: A meta-analysis of individual patient data from EORTC clinical trials. The Lancet Oncology, 10, 865–871. https://doi.org/10.1016/S1470-2045(1009)70200-70201 Epub 72009 Aug 70218.
Article
PubMed
Google Scholar
Ramirez, V., et al. (2018). Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects. PLoS One, 13, e0195996. https://doi.org/10.1371/journal.pone.0195996.
Article
CAS
PubMed
PubMed Central
Google Scholar
Rose, M., Bjorner, J. B., Gandek, B., Bruce, B., Fries, J. F., & Ware, J. E. (2014). The PROMIS physical function item bank was calibrated to a standardized metric and shown to improve measurement efficiency. Journal of Clinical Epidemiology, 67, 516–526.
Article
Google Scholar
Schafer, M., & Ferraro, K. (2007). Obesity and hospitalization over the adult life course: Does duration of exposure increase use? Journal of Health and Social Behavior, 48, 434–449.
Article
Google Scholar
Schalet, B. D., Hays, R. D., Jensen, S. E., Beaumont, J. L., Fries, J. F., & Cella, D. (2016). Validity of PROMIS physical function measured in diverse clinical samples. Journal of Clinical Epidemiology, 73, 112–118.
Article
Google Scholar
Schnadig, I. D., Fromme, E. K., Loprinzi, C. L., Sloan, J. A., Mori, M., Li, H., & Beer, T. M. (2008). Patient-physician disagreement regarding performance status is associated with worse survivorship in patients with advanced cancer. Cancer, 113, 2205–2214.
Article
Google Scholar
Shcherbina, A., et al. (2017). Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort. Journal of Personalized Medicine, 7(2), E3. https://doi.org/10.3390/jpm7020003.
Article
Google Scholar
Sørensen, J., Klee, M., Palshof, T., & Hansen, H. (1993). Performance status assessment in cancer patients. An inter-observer variability study. British Journal of Cancer, 67, 773–775.
Article
Google Scholar
Taylor, A. E., Olver, I. N., Sivanthan, T., Chi, M., & Purnell, C. (1999). Observer error in grading performance status in cancer patients. Supportive Care in Cancer, 7, 332–335.
Article
CAS
Google Scholar
Tudor-Locke, C., Williams, J. E., Reis, J. P., & Pluto, D. (2004). Utility of pedometers for assessing physical activity: Construct validity. Sports Medicine, 34, 281–291.
Article
Google Scholar
Wright, S. P., Hall Brown, T. S., Collier, S. R., & Sandberg, K. (2017). How consumer physical activity monitors could transform human physiology research. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 312, R358–R367.
Article
Google Scholar
Yu, L., et al. (2011). Development of short forms from the PROMIS sleep disturbance and sleep-related impairment item banks. Behavioral Sleep Medicine, 10, 6–24. https://doi.org/10.1080/15402002.15402012.15636266.
Article
PubMed
PubMed Central
Google Scholar
Zubrod, C. G., et al. (1960). Appraisal of methods for the study of chemotherapy of cancer in man: Comparative therapeutic trial of nitrogen mustard and triethylene thiophosphoramide. Journal of Chronic Disease, 11, 7–33.
Article
Google Scholar