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A dominance analysis of subjective cognitive complaint comorbidities in former professional football players with and without mild cognitive impairment

Published online by Cambridge University Press:  30 August 2022

Benjamin L. Brett*
Affiliation:
Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, WI, USA
Zachary Yukio Kerr
Affiliation:
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Avinash Chandran
Affiliation:
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA Datalys Center for Sports Injury Research and Prevention, Indianapolis, IN, USA
Samuel Walton
Affiliation:
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Neelum T. Aggarwal
Affiliation:
Rush Alzheimer’s Disease Center, Chicago, IL, USA
Katherine Gifford
Affiliation:
Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
Rebekah Mannix
Affiliation:
Boston Children’s Hospital, Boston, MA, USA Department of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, MA, USA
J. D. DeFreese
Affiliation:
Datalys Center for Sports Injury Research and Prevention, Indianapolis, IN, USA
Ruben J. Echemendia
Affiliation:
Psychological and Neurobehavioral Associates, Inc., State College, PA, USA
Kevin M. Guskiewicz
Affiliation:
Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
William P. Meehan III
Affiliation:
Boston Children’s Hospital, Boston, MA, USA Department of Orthopedics, Harvard Medical School, Boston, MA, USA
Michael A. McCrea
Affiliation:
Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, WI, USA
*
*Corresponding author: Benjamin L. Brett, email: bbrett@mcw.edu

Abstract

Objectives:

Subjective cognitive difficulties (SCDs) are associated with factors commonly reported in older adults and former contact sport athletes, regardless of objective cognitive decline. We investigated the relative contribution of these factors to SCD in former National Football League (NFL)-players with and without a diagnosis of mild cognitive impairment (MCI).

Methods:

Former NFL players (n = 907) aged ≥ 50 years (mean = 64.7 ± 8.9), with (n = 165) and without (n = 742) a diagnosis of MCI completed health questionnaires. Multivariable regression and dominance analyses determined the relative importance of SCD factors on SCD: 1) depression, 2) anxiety, 3) sleep disturbance, 4) pain interference, 5) ability to participate in social roles and activities, 6) stress-related events, 7) fatigue, 8) concussion history, and 9) education. SCD outcomes included Neuro-QoL Emotional-Behavioral Dyscontrol and the PROMIS Cognitive Function. Fisher’s z-transformation compared comorbid contributing factors to SCD across MCI and non-MCI groups.

Results:

Complete dominance of anxiety was established over most comorbid factors across the MCI and non-MCI groups. Fatigue also exhibited complete dominance over most comorbid factors, though its influence in the MCI group was less robust (general dominance). Average contributions to variance accounted for by comorbid factors to ratings of SCD across MCI and non-MCI groups did not statistically differ (Z-statistics <1.96, ps>.05).

Conclusions:

Anxiety and fatigue are the most robust factors associated with SCD in former professional football players across various combinations of clinical presentations (different combinations of comorbid factors), regardless of documented cognitive impairment. Self-reported deficits may be less reliable in detecting objective impairment in the presence of these factors, with multidimensional assessment being ideal.

Type
Research Article
Copyright
Copyright © INS. Published by Cambridge University Press, 2022

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References

Alosco, M. L., Kasimis, A. B., Chua, A. S., Baugh, C. M., Daneshvar, D. H., Robbins, C. A., Mariani, M., Hayden, J., Conneely, S., Au, R., Torres, A., McClean, M. D., McKee, A. C., Cantu, R. C., Mez, J., Nowinski, C. J., Martin, B. M., Chaisson, C. E., Tripodis, Y., & Stern, R. A. (2017). Age of first exposure to American football and long-term neuropsychiatric and cognitive outcomes. Translational Psychiatry, 7, e1236. doi: 10.1038/tp.2017.197 CrossRefGoogle ScholarPubMed
Azen, R., & Budescu, D. V. (2003). The dominance analysis approach for comparing predictors in multiple regression. Psychological Methods, 8, 129148. doi: 10.1037/1082-989x.8.2.129 CrossRefGoogle ScholarPubMed
Becker, H., Stuifbergen, A., Lee, H., & Kullberg, V. (2014). Reliability and validity of PROMIS cognitive abilities and cognitive concerns scales among people with multiple sclerosis. International Journal of MS Care, 16, 18. doi: 10.7224/1537-2073.2012-047 CrossRefGoogle ScholarPubMed
Benito-Leon, J., Mitchell, A. J., Vega, S., & Bermejo-Pareja, F. (2010). A population-based study of cognitive function in older people with subjective memory complaints. Journal of Alzheimers Disease, 22, 159170. doi: 10.3233/JAD-2010-100972 CrossRefGoogle ScholarPubMed
Bode, R. K., Hahn, E. A., DeVellis, R., Cella, D., & Patient-Reported Outcomes Measurement Information System Social Domain Working, G. (2010). Measuring participation: the patient-reported outcomes measurement information system experience. Archives of Physical Medicine Rehabilitation, 91(9 Suppl), S6065. doi: 10.1016/j.apmr.2009.10.035 CrossRefGoogle ScholarPubMed
Brett, B. L., Walton, S. R., Kerr, Z. Y., Nelson, L. D., Chandran, A., Defreese, J. D., Echemendia, R. J., Guskiewicz, K. M., Meehan III, W. P., & McCrea, M. A. (2021). Distinct latent profiles based on neurobehavioural, physical and psychosocial functioning of former National Football League (NFL) players: an NFL-LONG Study. Journal of Neurology Neurosurgery and Psychiatry. doi: 10.1136/jnnp-2020-324244 CrossRefGoogle ScholarPubMed
Broderick, J. E., Schneider, S., Junghaenel, D. U., Schwartz, J. E., & Stone, A. A. (2013). Validity and reliability of patient-reported outcomes measurement information system instruments in osteoarthritis. Arthritis Care and Research (Hoboken), 65, 16251633. doi: 10.1002/acr.22025 Google ScholarPubMed
Burmester, B., Leathem, J., & Merrick, P. (2016). Subjective cognitive complaints and objective cognitive function in aging: A systematic review and meta-analysis of recent cross-sectional findings. Neuropsychology Review, 26, 376393. doi: 10.1007/s11065-016-9332-2 CrossRefGoogle ScholarPubMed
Cella, D., Choi, S. W., Condon, D. M., Schalet, B., Hays, R. D., Rothrock, N. E., Yount, S., Cook, K. F., Gershon, R. C., Amtmann, D., DeWalt, D. A., Pilkonis, P. A., Stone, A. A., Weinfurt, K., & Reeve, B. B. (2019). PROMIS((R)) adult health profiles: Efficient short-form measures of seven health domains. Value in Health, 22, 537544. doi: 10.1016/j.jval.2019.02.004 CrossRefGoogle Scholar
Cella, D., Lai, J. S., Nowinski, C. J., Victorson, D., Peterman, A., Miller, D., Bethoux, F., Heinemann, A., Rubin, S., Cavazos, J. E., Reder, A. T., Sufit, R., Simuni, T., Holmes, G. L., Siderowf, A., Wojna, V., Bode, R., McKinney, N., Podrabsky, T., Wortman, K., Choi, S., Gershon, R., Rothrock, N., & Moy, C. (2012). Neuro-QOL: brief measures of health-related quality of life for clinical research in neurology. Neurology, 78, 18601867. doi: 10.1212/WNL.0b013e318258f744 CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. New York, NY: Routledge Academic.Google Scholar
Dauphinot, V., Bouteloup, V., Mangin, J. F., Vellas, B., Pasquier, F., Blanc, F., Hanon, O., Gabelle, A., Annweiler, C., David, R., Planche, V., Godefroy, O., Rivasseau-Jonveaux, T., Chupin, M., Fischer, C., Chene, G., Dufouil, C., & Krolak-Salmon, P. (2020). Subjective cognitive and non-cognitive complaints and brain MRI biomarkers in the MEMENTO cohort. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 12, e12051. doi: 10.1002/dad2.12051 Google ScholarPubMed
Deyo, R. A., Katrina, R., Buckley, D. I., Michaels, L., Kobus, A., Eckstrom, E., Forro, V., & Morris, C. (2016). Performance of a patient reported outcomes measurement information system (PROMIS) short form in older adults with chronic musculoskeletal pain. Pain Medicine, 17, 314324. doi: 10.1093/pm/pnv046 Google ScholarPubMed
Ebenau, J. L., Timmers, T., Wesselman, L. M. P., Verberk, I. M. W., Verfaillie, S. C. J., Slot, R. E. R., van Harten, A. C., Teunissen, C. E., Barkhof, F., van den Bosch, K. A., van Leeuwenstijn, M., Tomassen, J., Braber, A. D., Visser, P. J., Prins, N. D., Sikkes, S. A. M., Scheltens, P., van Berckel, B. N. M., & van der Flier, W. M. (2020). ATN classification and clinical progression in subjective cognitive decline: The SCIENCe project. Neurology, 95, e46e58. doi: 10.1212/WNL.0000000000009724 CrossRefGoogle ScholarPubMed
Edmonds, E. C., Weigand, A. J., Thomas, K. R., Eppig, J., Delano-Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2018). Increasing inaccuracy of self-reported subjective cognitive complaints over 24 months in empirically derived subtypes of mild cognitive impairment. Journal of the International Neuropsychological Societ, 24, 842853. doi: 10.1017/S1355617718000486 CrossRefGoogle ScholarPubMed
Esopenko, C., Chow, T. W., Tartaglia, M. C., Bacopulos, A., Kumar, P., Binns, M. A., Kennedy, J. L., Müller, D. J., & Levine, B. (2017). Cognitive and psychosocial function in retired professional hockey players. Journal of Neurology, Neurosurgery, and Psychiatry, 88, 512519. doi: 10.1136/jnnp-2016-315260 CrossRefGoogle ScholarPubMed
Full, K. M., Malhotra, A., Crist, K., Moran, K., & Kerr, J. (2019). Assessing psychometric properties of the PROMIS sleep disturbance scale in older adults in independent-living and continuing care retirement communities. Sleep Health, 5, 1822. doi: 10.1016/j.sleh.2018.09.003 CrossRefGoogle ScholarPubMed
Ganbat, U., & Wu, Y. Y. (2021). Disparities of subjective cognitive decline among native Hawaiians/other Pacific Islanders, Asian Americans, and White Americans in Hawai’i: Behavioral risk factor surveillance system 2015 and 2017. Asia-Pacific Journal of Public Health, 33, 587594. doi: 10.1177/10105395211020902 CrossRefGoogle ScholarPubMed
Gershon, R. C., Lai, J. S., Bode, R., Choi, S., Moy, C., Bleck, T., Miller, D., Peterman, A., & Cella, D. (2012). Neuro-QOL: quality of life item banks for adults with neurological disorders: item development and calibrations based upon clinical and general population testing. Quality of Life Research, 21, 475486. doi: 10.1007/s11136-011-9958-8 CrossRefGoogle ScholarPubMed
Guskiewicz, K. M., Marshall, S. W., Bailes, J., McCrea, M., Cantu, R. C., Randolph, C., & Jordan, B. D. (2005). Association between recurrent concussion and late-life cognitive impairment in retired professional football players. Neurosurgery, 57, 719726; discussion 719–726.CrossRefGoogle ScholarPubMed
Guskiewicz, K. M., Marshall, S. W., Bailes, J., McCrea, M., Harding, H. P., Matthews, A., Mihalik, J. R., & Cantu, R. C. (2007). Recurrent concussion and risk of depression in retired professional football players. Medicine & Science in Sports & Exercise, 39, 903909. doi: 10.1249/mss.0b013e3180383da5 CrossRefGoogle ScholarPubMed
Iverson, G. L., Marsh, J. M., Connors, E. J., & Terry, D. P. (2021). Normative reference values, reliability, and item-level symptom endorsement for the PROMIS(R) v2.0 cognitive function-short forms 4a, 6a and 8a. Archives of Clinical Neuropsychology, 36, 13411349. doi: 10.1093/arclin/acaa128 Google Scholar
Iverson, G. L., Van Patten, R., Terry, D. P., Levi, C. R., & Gardner, A. J. (2021). Predictors and correlates of depression in retired elite level Rugby league players. Frontiers in Neurology, 12, 655746. doi: 10.3389/fneur.2021.655746 CrossRefGoogle ScholarPubMed
Jang, Y., Haley, W. E., Choi, E. Y., & Franco, Y. (2022). Racial/ethnic differences in correspondence between subjective cognitive ratings and cognitive impairment. The American Journal of Geriatric Psychiatry, 30, 627635. doi: 10.1016/j.jagp.2021.10.015 CrossRefGoogle ScholarPubMed
Jenkins, A., Tree, J. J., Thornton, I. M., & Tales, A. (2019). Subjective cognitive impairment in 55–65-year-old adults is associated with negative affective symptoms, neuroticism, and poor quality of life. Journal of Alzheimers Disease, 67, 13671378. doi: 10.3233/JAD-180810 CrossRefGoogle ScholarPubMed
Jessen, F., Amariglio, R. E., Buckley, R. F., van der Flier, W. M., Han, Y., Molinuevo, J. L., Rabin, L., Rentz, D. M., Rodriguez-Gomez, O., Saykin, A. J., Sikkes, S. A. M., Smart, C. M., Wolfsgruber, S., & Wagner, M. (2020). The characterisation of subjective cognitive decline. Lancet Neurology, 19, 271278. doi: 10.1016/S1474-4422(19)30368-0 CrossRefGoogle ScholarPubMed
Katz, D. I., Bernick, C., Dodick, D. W., Mez, J., Mariani, M. L., Adler, C. H., Alosco, M. L., Balcer, L. J., Banks, S. J., Barr, W. B., Brody, D. L., Cantu, R. C., Dams-O’Connor, K., Geda, Y. E., Jordan, B. D., McAllister, T. W., Peskind, E. R., Petersen, R. C., Wethe, J. V., Zafonte, R. D., Foley, E. M., Babcock, D. J., Koroshetz, W. J., Tripodis, Y., McKee, A. C., Shenton, M. E., Cummings, J. L., Reiman, E. M., & Stern, R. A. (2021). National Institute of Neurological Disorders and Stroke Consensus Diagnostic Criteria for Traumatic Encephalopathy Syndrome. Neurology, 96, 848863. doi: 10.1212/WNL.0000000000011850 CrossRefGoogle ScholarPubMed
Kerr, Z. Y., Marshall, S. W., Harding, H. P., & Guskiewicz, K. M. (2012). Nine-year risk of depression diagnosis increases with increasing self-reported concussions in retired professional football players. American Journal of Sports Medicine, 40, 22062212. doi: 10.1177/0363546512456193 CrossRefGoogle ScholarPubMed
Kinsinger, S. W., Lattie, E., & Mohr, D. C. (2010). Relationship between depression, fatigue, subjective cognitive impairment, and objective neuropsychological functioning in patients with multiple sclerosis. Neuropsychology, 24, 573580. doi: 10.1037/a0019222 CrossRefGoogle ScholarPubMed
Kozlowski, A. J., Cella, D., Nitsch, K. P., & Heinemann, A. W. (2016). Evaluating individual change with the quality of life in neurological disorders (Neuro-QoL) short forms. Archives of Physical Medicine and Rehabilitation, 97, 650654, e658. doi: 10.1016/j.apmr.2015.12.010 CrossRefGoogle ScholarPubMed
Lai, J. S., Wagner, L. I., Jacobsen, P. B., & Cella, D. (2014). Self-reported cognitive concerns and abilities: two sides of one coin? Psychooncology, 23, 11331141. doi: 10.1002/pon.3522 CrossRefGoogle ScholarPubMed
LaVela, S. L., Etingen, B., Miskevics, S., & Cella, D. (2019). Use of PROMIS-29(R) in US veterans: Diagnostic concordance and domain comparisons with the general population. Journal of General Internal Medicine, 34, 14521458. doi: 10.1007/s11606-019-05011-9 Google ScholarPubMed
Lee, M., Nam, J. H., Yi, E., Bhimla, A., Nelson, J., & Ma, G. X. (2021). Differences in subjective memory impairment, depressive symptoms, sleep, and physical activity in African American and Asian American Elderly. Brain Sciences, 11. doi: 10.3390/brainsci11091155 CrossRefGoogle ScholarPubMed
Liew, T. M. (2020). Subjective cognitive decline, anxiety symptoms, and the risk of mild cognitive impairment and dementia. Alzheimer’s Research & Therapy, 12, 107. doi: 10.1186/s13195-020-00673-8 CrossRefGoogle ScholarPubMed
Markova, H., Nikolai, T., Mazancova, A. F., Cechova, K., Sheardova, K., Georgi, H., Kopecek, M., Laczo, J., Hort, J., & Vyhnalek, M. (2019). Differences in subjective cognitive complaints between non-demented older adults from a memory clinic and the community. Journal of Alzheimer’s Disease, 70, 6173. doi: 10.3233/JAD-180630 CrossRefGoogle ScholarPubMed
McCrea, M., Hammeke, T., Olsen, G., Leo, P., & Guskiewicz, K. (2004). Unreported concussion in high school football players: implications for prevention. Clincal Journal of Sport Medicine, 14, 1317.CrossRefGoogle ScholarPubMed
Montenigro, P. H., Alosco, M. L., Martin, B. M., Daneshvar, D. H., Mez, J., Chaisson, C. E., Nowinski, C. J., Au, R., McKee, A. C., Cantu, R. C., McClean, M. D., Stern, R. A., & Tripodis, Y. (2017). Cumulative head impact exposure predicts later-life depression, apathy, executive dysfunction, and cognitive impairment in Former High School and College Football Players. Journal of Neurotrauma, 34, 328340. doi: 10.1089/neu.2016.4413 CrossRefGoogle ScholarPubMed
Nelson, A., Gavelin, H. M., Boraxbekk, C. J., Eskilsson, T., Josefsson, M., Slunga Jarvholm, L., & Neely, A. S. (2021). Subjective cognitive complaints in patients with stress-related exhaustion disorder: a cross sectional study. BMC Psychology, 9, 84. doi: 10.1186/s40359-021-00576-9 CrossRefGoogle ScholarPubMed
Nowinski, C. J., Siderowf, A., Simuni, T., Wortman, C., Moy, C., & Cella, D. (2016). Neuro-QoL health-related quality of life measurement system: Validation in Parkinson’s disease. Movement Disorders, 31, 725733. doi: 10.1002/mds.26546 CrossRefGoogle ScholarPubMed
Ohlhauser, L., Parker, A. F., Smart, C. M., Gawryluk, J. R., & Alzheimer’s Disease Neuroimaging Initiative  (2019). White matter and its relationship with cognition in subjective cognitive decline. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 11, 2835. doi: 10.1016/j.dadm.2018.10.008 Google ScholarPubMed
Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D., & PROMIS Cooperative Group (2011). Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS(R)): depression, anxiety, and anger. Assessment, 18, 263283. doi: 10.1177/1073191111411667 CrossRefGoogle Scholar
Prien, A., Feddermann-Demont, N., Verhagen, E., Twisk, J., & Junge, A. (2020). Neurocognitive performance and mental health of retired female football players compared to non-contact sport athletes. BMJ Open Sport & Exercise Medicine, 6, e000952. doi: 10.1136/bmjsem-2020-000952 CrossRefGoogle ScholarPubMed
Rasouli, O., Gotaas, M. E., Stensdotter, A. K., Skovlund, E., Landro, N. I., Dastol, P., & Fors, E. A. (2019). Neuropsychological dysfunction in chronic fatigue syndrome and the relation between objective and subjective findings. Neuropsychology, 33, 658669. doi: 10.1037/neu0000550 CrossRefGoogle ScholarPubMed
Riley, W. T., Rothrock, N., Bruce, B., Christodolou, C., Cook, K., Hahn, E. A., & Cella, D. (2010). Patient-reported outcomes measurement information system (PROMIS) domain names and definitions revisions: further evaluation of content validity in IRT-derived item banks. Quality of Life Research, 19, 13111321. doi: 10.1007/s11136-010-9694-5 CrossRefGoogle ScholarPubMed
Roberts, A. L., Zafonte, R. D., Speizer, F. E., Baggish, A., Taylor, H. A., Nadler, L., & Weisskopf, M. G. (2021). Modifiable risk factors for poor cognitive function in Former American-Style Football Players: Findings from the Harvard Football Players Health Study. Journal of Neurotrauma, 38, 189195. doi: 10.1089/neu.2020.7070 Google ScholarPubMed
Rohr, S., Pabst, A., Riedel-Heller, S. G., Jessen, F., Turana, Y., Handajani, Y. S., Brayne, C., Matthews, F. E., Stephan, B. C. M., Lipton, R. B., Katz, M. J., Wang, C., Guerchet, M., Preux, P. M., Mbelesso, P., Ritchie, K., Ancelin, M. L., Carriere, I., Guaita, A., Davin, A., Vaccaro, R., Kim, K. W., Han, J. W., Suh, S. W., Shahar, S., Din, N. C., Vanoh, D., van Boxtel, M., Kohler, S., Ganguli, M., Jacobsen, E. P., Snitz, B. E., Anstey, K. J., Cherbuin, N., Kumagai, S., Chen, S., Narazaki, K., Ng, T. P., Gao, Q., Gwee, X., Brodaty, H., Kochan, N. A., Trollor, J., Lobo, A., Lopez-Anton, R., Santabarbara, J., Crawford, J. D., Lipnicki, D. M., Sachdev, P. S., & for Cohort Studies of Memory in an International Consortium (COSMIC) (2020). Estimating prevalence of subjective cognitive decline in and across international cohort studies of aging: a COSMIC study. Alzheimer’s Research & Therapy, 12, 167. doi: 10.1186/s13195-020-00734-y CrossRefGoogle ScholarPubMed
Rose, A. J., Bayliss, E., Huang, W., Baseman, L., Butcher, E., Garcia, R. E., & Edelen, M. O. (2018). Evaluating the PROMIS-29 v2.0 for use among older adults with multiple chronic conditions. Quality of Life Researcg, 27, 29352944. doi: 10.1007/s11136-018-1958-5 CrossRefGoogle ScholarPubMed
Ryu, S. Y., Lee, S. B., Kim, T. W., & Lee, T. J. (2016). Subjective memory complaints, depressive symptoms and instrumental activities of daily living in mild cognitive impairment. International Psychogeriatrics, 28, 487494. doi: 10.1017/S1041610215001945 Google ScholarPubMed
Sabatini, S., Woods, R. T., Ukoumunne, O. C., Ballard, C., Collins, R., & Clare, L. (2021). Associations of subjective cognitive and memory decline with depression, anxiety, and two-year change in objectively-assessed global cognition and memory. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 127. doi: 10.1080/13825585.2021.1923634 Google ScholarPubMed
Schalet, B. D., Pilkonis, P. A., Yu, L., Dodds, N., Johnston, K. L., Yount, S., Riley, W., & Cella, D. (2016). Clinical validity of PROMIS depression, anxiety, and anger across diverse clinical samples. Journal of Clinical Epidemiology, 73, 119127. doi: 10.1016/j.jclinepi.2015.08.036 CrossRefGoogle ScholarPubMed
Schwenk, T. L., Gorenflo, D. W., Dopp, R. R., & Hipple, E. (2007). Depression and pain in retired professional football players. Medicine & Science in Sports & Exercise, 39, 599605. doi: 10.1249/mss.0b013e31802fa679 CrossRefGoogle ScholarPubMed
Stenfors, C. U., Marklund, P., Magnusson Hanson, L. L., Theorell, T., & Nilsson, L. G. (2013). Subjective cognitive complaints and the role of executive cognitive functioning in the working population: a case-control study. PLoS One, 8, e83351. doi: 10.1371/journal.pone.0083351 CrossRefGoogle ScholarPubMed
Teresi, J. A., Ocepek-Welikson, K., Kleinman, M., Ramirez, M., & Kim, G. (2016). Psychometric properties and performance of the Patient Reported Outcomes Measurement Information System((R)) (PROMIS((R))) Depression Short Forms in Ethnically Diverse Groups. Psychological Test and Assessment Modeling, 58, 141181.Google Scholar
Terwee, C. B., Crins, M. H. P., Boers, M., de Vet, H. C. W., & Roorda, L. D. (2019). Validation of two PROMIS item banks for measuring social participation in the Dutch general population. Quality of Life Research, 28, 211220. doi: 10.1007/s11136-018-1995-0 CrossRefGoogle ScholarPubMed
Thackeray, A., Marcus, R. L., Yu, L., McCracken, P., Cardell, B., & Hanmer, J. (2021). Linking AM-PAC cognition to PROMIS cognitive function. Archives of Physical Medicine and Rehabilitation, 102, 21572164 e2151. doi: 10.1016/j.apmr.2021.04.012 CrossRefGoogle ScholarPubMed
Tsutsumimoto, K., Makizako, H., Doi, T., Hotta, R., Nakakubo, S., Makino, K., Shimada, H., & Suzuki, T. (2017). Subjective memory complaints are associated with incident dementia in cognitively intact older people, but not in those with cognitive impairment: A 24-month prospective cohort study. The American Journal of Geriatric Psychiatry, 25, 607616. doi: 10.1016/j.jagp.2016.12.008 CrossRefGoogle Scholar
Valentine, T. R., Weiss, D. M., Jones, J. A., & Andersen, B. L. (2019). Construct validity of PROMIS(R) Cognitive Function in cancer patients and noncancer controls. Health Psychology, 38, 351358. doi: 10.1037/hea0000693 CrossRefGoogle Scholar
van Rijsbergen, M. W. A., Mark, R. E., Kop, W. J., de Kort, P. L. M., & Sitskoorn, M. M. (2019). Psychological factors and subjective cognitive complaints after stroke: Beyond depression and anxiety. Neuropsychol Rehabilitation, 29, 16711684. doi: 10.1080/09602011.2018.1441720 CrossRefGoogle ScholarPubMed
Victorson, D., Cavazos, J. E., Holmes, G. L., Reder, A. T., Wojna, V., Nowinski, C., & Cella, D. (2014). Validity of the Neurology Quality-of-Life (Neuro-QoL) measurement system in adult epilepsy. Epilepsy & Behavior, 31, 7784. doi: 10.1016/j.yebeh.2013.11.008 CrossRefGoogle ScholarPubMed
Walton, S. R., Brett, B. L., Chandran, A., DeFreese, J. D., Mannix, R., Echemendia, R. J., Meehan, W. P., McCrea, M., Guskiewicz, K. M., & Kerr, Z. Y. (2021). Mild cognitive impairment and dementia reported by Former Professional Football Players over 50 years of age: An NFL-LONG study. Medicine & Science in Sports & Exercise. doi: 10.1249/MSS.0000000000002802 Google Scholar
Walton, S. R., Kerr, Z. Y., Brett, B. L., Chandran, A., DeFreese, J. D., Smith-Ryan, A. E., Stoner, L., Echemendia, R. J., McCrea, M., Meehan, W. P. III, & Guskiewicz, K. M. (2021). Health-promoting behaviours and concussion history are associated with cognitive function, mood-related symptoms and emotional-behavioural dyscontrol in former NFL players: an NFL-LONG Study. British Journal of Sports Medicine, 55, 683690. doi: 10.1136/bjsports-2020-103400 CrossRefGoogle ScholarPubMed
Westoby, C. J., Mallen, C. D., & Thomas, E. (2009). Cognitive complaints in a general population of older adults: prevalence, association with pain and the influence of concurrent affective disorders. European Journal of Pain, 13, 970976. doi: 10.1016/j.ejpain.2008.11.011 CrossRefGoogle Scholar
Yates, J. A., Clare, L., Woods, R. T., & Mrc, C. (2017). Subjective memory complaints, mood and MCI: a follow-up study. Aging & Mental Health, 21, 313321. doi: 10.1080/13607863.2015.1081150 CrossRefGoogle ScholarPubMed
Yu, L., Buysse, D. J., Germain, A., Moul, D. E., Stover, A., Dodds, N. E., Johnston, K. L., & Pilkonis, P. A. (2011). Development of short forms from the PROMIS sleep disturbance and sleep-related impairment item banks. Behavioral Sleep Medicine, 10, 624. doi: 10.1080/15402002.2012.636266 CrossRefGoogle ScholarPubMed
Zhang, Z. (2016). Multiple imputation with multivariate imputation by chained equation (MICE) package. Annals Translational Medicine, 4, 30. doi: 10.3978/j.issn.2305-5839.2015.12.63 Google ScholarPubMed
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