Measuring executive function in control subjects and TBI patients with question completion time (QCT)

David L Woods, E William Yund, John M Wyma, Ron Ruff, Timothy J Herron, David L Woods, E William Yund, John M Wyma, Ron Ruff, Timothy J Herron

Abstract

Questionnaire completion is a complex task that places demands on cognitive functions subserving reading, introspective memory, decision-making, and motor control. Although computerized questionnaires and surveys are used with increasing frequency in clinical practice, few studies have examined question completion time (QCT), the time required to complete each question. Here, we analyzed QCTs in 172 control subjects and 31 patients with traumatic brain injury (TBI) who completed two computerized questionnaires, the 17-question Post-Traumatic Stress Disorder (PTSD) Checklist (PCL) and the 25-question Cognitive Failures Questionnaire (CFQ). In control subjects, robust correlations were found between self-paced QCTs on the PCL and CFQ (r = 0.82). QCTs on individual questions correlated strongly with the number of words in the question, indicating the critical role of reading speed. QCTs increased significantly with age, and were reduced in females and in subjects with increased education and computer experience. QCT z-scores, corrected for age, education, computer use, and sex, correlated more strongly with each other than with the results of other cognitive tests. Patients with a history of severe TBI showed significantly delayed QCTs, but QCTs fell within the normal range in patients with a history of mild TBI. When questionnaires are used to gather relevant patient information, simultaneous QCT measures provide reliable and clinically sensitive measures of processing speed and executive function.

Keywords: aging; executive function; gender; head injury; reaction time; reading.

Figures

Figure 1
Figure 1
Question display. Responses were selected using the mouse cursor (green cross). As the mouse was moved over the rating scale, it highlighted Likert alternatives within a radius of 3.5 degrees of visual angle. Responses remained highlighted when selected by a subject. When satisfied with the response, subjects pressed the submit button. The highlighted Likert rating and “Submit” response are shown.
Figure 2
Figure 2
Median QCTs for the questions on the PCL and cognitive failures questionnaire (CFQ) as a function of the number of words in each question. The two longest QCTs (top center) occurred to the first question in each questionnaire.
Figure 3
Figure 3
Rating scores on the CFQ and PCL. Data are shown for control subjects (blue diamonds), patients with mild TBI (mTBI, filled red circles), and patients with severe TBI (sTBI, cross-hatched red circles).
Figure 4
Figure 4
Log median QCTs (averaged over the PCL and CFQ) as a function of subject age. Data are shown for control subjects (blue diamonds), patients with mild TBI (mTBI, filled red circles), and patients with severe TBI (sTBI, cross-hatched red circles). The linear fit to control data is shown.
Figure 5
Figure 5
Log-median question completion time (QCT) z-scores for control subjects and TBI patients on the PCL and CFQ. Linear regression was used to correct for the influence of age, education, computer use, and sex on z-scores. Red dashed lines show the upper limits (p < 0.05) of the control population. Data are shown for control subjects (blue diamonds), patients with mild TBI (mTBI, filled red circles), and patients with severe TBI (sTBI, cross-hatched red circles). The linear fit to control data is shown.

References

    1. Allenby A., Matthews J., Beresford J., Mclachlan S. A. (2002). The application of computer touch-screen technology in screening for psychosocial distress in an ambulatory oncology setting. Eur. J. Cancer Care (Engl) 11, 245–253. 10.1046/j.1365-2354.2002.00310.x
    1. Blanchard E. B., Jones-Alexander J., Buckley T. C., Forneris C. A. (1996). Psychometric properties of the PTSD checklist (PCL). Behav. Res. Ther. 34, 669–673. 10.1016/0005-7967(96)00033-2
    1. Borella E., Ghisletta P., de Ribaupierre A. (2011). Age differences in text processing: the role of working memory, inhibition and processing speed. J. Gerontol. B Psychol. Sci. Soc. Sci. 66, 311–320. 10.1093/geronb/gbr002
    1. Brand M., Markowitsch H. J. (2010). Aging and decision-making: a neurocognitive perspective. Gerontology 56, 319–324. 10.1159/000248829
    1. Bridger R. S., Johnsen S. A., Brasher K. (2013). Psychometric properties of the cognitive failures questionnaire. Ergonomics 56, 1515–1524. 10.1080/00140139.2013.821172
    1. Broadbent D. E., Cooper P. F., Fitzgerald P., Parkes K. R. (1982). The Cognitive Failures Questionnaire (CFQ) and its correlates. Br. J. Clin. Psychol. 21(Pt. 1), 1–16. 10.1111/j.2044-8260.1982.tb01421.x
    1. Caplan D., Dede G., Waters G., Michaud J., Tripodis Y. (2011). Effects of age, speed of processing and working memory on comprehension of sentences with relative clauses. Psychol. Aging 26, 439–450. 10.1037/a0021837
    1. Christopher M. E., Miyake A., Keenan J. M., Pennington B., Defries J. C., Wadsworth S. J., et al. . (2012). Predicting word reading and comprehension with executive function and speed measures across development: a latent variable analysis. J. Exp. Psychol. Gen. 141, 470–488. 10.1037/a0027375
    1. Commodari E., Guarnera M. (2008). Attention and aging. Aging Clin. Exp. Res. 20, 578–584. 10.1007/BF03324887
    1. Conigrave K. M., Hall W. D., Saunders J. B. (1995). The AUDIT questionnaire: choosing a cut-off score. Alcohol use disorder identification test. Addiction 90, 1349–1356. 10.1111/j.1360-0443.1995.tb03552.x
    1. Conybeare D., Behar E., Solomon A., Newman M. G., Borkovec T. D. (2012). The PTSD checklist-civilian version: reliability, validity and factor structure in a nonclinical sample. J. Clin. Psychol. 68, 699–713. 10.1002/jclp.21845
    1. Foa E. B., Tolin D. F. (2000). Comparison of the PTSD symptom scale-interview version and the clinician-administered PTSD scale. J. Trauma Stress 13, 181–191. 10.1023/a:1007781909213
    1. Hubel K. A., Yund E. W., Herron T. J., Woods D. L. (2013). Computerized measures of finger tapping: reliability, malingering and traumatic brain injury. J. Clin. Exp. Neuropsychol. 35, 745–758. 10.1080/13803395.2013.824070
    1. Karstoft K. I., Andersen S. B., Bertelsen M., Madsen T. (2014). Diagnostic accuracy of the posttraumatic stress disorder checklist-civilian version in a representative military sample. Psychol. Assess. 26, 321–325. 10.1037/a0034889
    1. Lamberts K. F., Evans J. J., Spikman J. M. (2010). A real-life, ecologically valid test of executive functioning: the executive secretarial task. J. Clin. Exp. Neuropsychol. 32, 56–65. 10.1080/13803390902806550
    1. Lynn R., Mikk J. (2009). Sex differences in reading achievement. Trames J. Humanit. Soc. Sci. 13, 3–13. 10.3176/tr.2009.1.01
    1. Malhotra N. (2008). Completion time and response order effects in web surveys. Public Opin. Q. 72, 914–934. 10.1093/poq/nfn050
    1. McLeod T. C., Leach C. (2012). Psychometric properties of self-report concussion scales and checklists. J. Athl. Train. 47, 221–223.
    1. Novakovic-Agopian T., Chen A. J., Rome S., Rossi A., Abrams G., D’Esposito M., et al. . (2014). Assessment of subcomponents of executive functioning in ecologically valid settings: the goal processing scale. J. Head Trauma Rehabil. 29, 136–146. 10.1097/HTR.0b013e3182691b15
    1. Pollina L. K., Greene A. L., Tunick R. H., Puckett J. M. (1992). Dimensions of everyday memory in young adulthood. Br. J. Psychol. 83(Pt. 3), 305–321. 10.1111/j.2044-8295.1992.tb02443.x
    1. Reason J., Lucas D. (1984). Absent-mindedness in shops: its incidence, correlates and consequences. Br. J. Clin. Psychol. 23(Pt. 2), 121–131. 10.1111/j.2044-8260.1984.tb00635.x
    1. Reitan R. M., Wolfson D. (2000). Conation: a neglected aspect of neuropsychological functioning. Arch. Clin. Neuropsychol. 15, 443–453. 10.1016/s0887-6177(99)00043-8
    1. Reitan R. M., Wolfson D. (2005). The effect of conation in determining the differential variance among brain-damaged and nonbrain-damaged persons across a broad range of neuropsychological tests. Arch. Clin. Neuropsychol. 20, 957–966. 10.1016/j.acn.2005.07.010
    1. Richter P., Werner J., Heerlein A., Kraus A., Sauer H. (1998). On the validity of the beck depression inventory. A review. Psychopathology 31, 160–168. 10.1159/000066239
    1. Salthouse T. A. (2000). Aging and measures of processing speed. Biol. Psychol. 54, 35–54. 10.1016/s0301-0511(00)00052-1
    1. Schneider A. L., Sharrett A. R., Gottesman R. F., Coresh J., Coker L., Wruck L., et al. . (2015). Normative data for 8 neuropsychological tests in older blacks and whites from the Atherosclerosis Risk in Communities (ARIC) study. Alzheimer Dis. Assoc. Disord. 29, 32–44. 10.1097/WAD.0000000000000042
    1. Soble J. R., Silva M. A., Vanderploeg R. D., Curtiss G., Belanger H. G., Donnell A. J., et al. . (2014). Normative data for the Neurobehavioral Symptom Inventory (NSI) and post-concussion symptom profiles among TBI, PTSD and nonclinical samples. Clin. Neuropsychol. 28, 614–632. 10.1080/13854046.2014.894576
    1. Stuss D. T. (2011). Traumatic brain injury: relation to executive dysfunction and the frontal lobes. Curr. Opin. Neurol. 24, 584–589. 10.1097/WCO.0b013e32834c7eb9
    1. Sullivan K., Garden N. (2011). A comparison of the psychometric properties of 4 postconcussion syndrome measures in a nonclinical sample. J. Head Trauma Rehabil. 26, 170–176. 10.1097/htr.0b013e3181e47f95
    1. Tiu R. D., Jr., Thompson L. A., Lewis B. A. (2003). The role of IQ in a component model of reading. J. Learn. Disabil. 36, 424–436. 10.1177/00222194030360050401
    1. Tombaugh T. N. (2004). Trail making test A and B: normative data stratified by age and education. Arch. Clin. Neuropsychol. 19, 203–214. 10.1016/s0887-6177(03)00039-8
    1. Verma A., Anand V., Verma N. P. (2007). Sleep disorders in chronic traumatic brain injury. J. Clin. Sleep Med. 3, 357–362.
    1. von Steinbüchel N., Wilson L., Gibbons H., Hawthorne G., Hofer S., Schmidt S., et al. . (2010). Quality of Life after Brain Injury (QOLIBRI): scale development and metric properties. J. Neurotrauma 27, 1167–1185. 10.1089/neu.2009.1076
    1. Wallace J. C., Kass S. J., Stanny C. J. (2002). The cognitive failures questionnaire revisited: dimensions and correlates. J. Gen. Psychol. 129, 238–256. 10.1080/00221300209602098
    1. Weathers F. W., Litz B. T., Herman D. S., Huska J. A., Keane T. M. (1993). “The PTSD checklist (PCL): reliability, validity and diagnostic utility,” in Paper presented at the annual meeting of the International Society for Traumatic Stress Studies (San Antonio, TX).
    1. Wilkins K. C., Lang A. J., Norman S. B. (2011). Synthesis of the psychometric properties of the PTSD checklist (PCL) military, civilian and specific versions. Depress. Anxiety 28, 596–606. 10.1002/da.20837
    1. Woods D. L., Kishiyama M. M., Yund E. W., Herron T. J., Edwards B., Poliva O., et al. . (2011a). Improving digit span assessment of short-term verbal memory. J. Clin. Exp. Neuropsychol. 33, 101–111. 10.1080/13803395.2010.493149
    1. Woods D. L., Kishiyama M. M., Yund E. W., Herron T. J., Hink R. F., Reed B. (2011b). Computerized analysis of error patterns in digit span recall. J. Clin. Exp. Neuropsychol. 33, 721–734. 10.1080/13803395.2010.550602
    1. Woods D. L., Wyma J., Herron T. J., Yund E. W. (2015a). The effects of aging, malingering and brain injury on computerized trail-making test performance. PLoS One (in press).
    1. Woods D. L., Wyma J. M., Yund E. W., Herron T. J., Reed B. (2015b). Factors influencing the latency of simple reaction time. Front. Hum. Neurosci. 9:131. 10.3389/fnhum.2015.00131
    1. Yarnold P. R., Stewart M. J., Stille F. C., Martin G. J. (1996). Assessing functional status of elderly adults via microcomputer. Percept. Mot. Skills 82, 689–690. 10.2466/pms.1996.82.2.689

Source: PubMed

3
購読する