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Published in final edited form as: J Head Trauma Rehabil. 2021 Jul-Aug;36(4):E233–E239. doi: 10.1097/HTR.0000000000000664

Research Letter: Performance of the Brief Test of Adult Cognition by Telephone in a National Sample

Christina A DiBlasio 1, Adam Sima 2, Raj G Kumar 3, Richard E Kennedy 4, Reuben Retnam 2, Margie E Lachman 5, Thomas A Novack 6, Kristen Dams-O’Connor 3,7
PMCID: PMC8249334  NIHMSID: NIHMS1687903  PMID: 33656486

Abstract

Objective.

To create a larger, more representative community comparison sample of the Brief Test of Adult Cognition by Telephone (BTACT) data to facilitate assessment of cognitive function in research studies.

Setting.

National U.S. community-based survey.

Participants.

6,747 healthy adults aged 23 to 84 years (53% female; mean age = 55 years [SD = 13]).

Design.

Secondary data analysis of BTACT data collected from the National Survey of Midlife Development in the United States (MIDUS) II and MIDUS Refresher cohorts.

Main Measures.

The Brief Test of Adult Cognition by Telephone, a brief (15–20 minute) measure of global cognitive function validated for telephone administration.

Results.

This paper provides BTACT community comparison sample data based on age, sex, and education from a national sample. Similar to other cognitive measures, BTACT scores decreased with age and increased with education.

Conclusions.

The BTACT community comparison sample will facilitate investigation of cognitive functioning in large scale traumatic brain injury research studies, and will support secondary analysis of existing BTACT data gathered through the MIDUS study.

Keywords: Cognition, Telephone, Data Analysis, Brain Injuries, Traumatic, Adult, Neuropsychology, Rehabilitation

INTRODUCTION

Assessment of cognitive abilities is essential in research tracking recovery following moderate-severe traumatic brain injury (TBI). Traditional neuropsychological testing is time- and labor-intensive and typically must be administered in person, which may be impractical in some research situations. Telephone-based cognitive assessment has the advantages of lower cost and greater feasibility, although it cannot completely replace traditional testing.

The Brief Test of Adult Cognition by Telephone (BTACT)1 is a short in-person or telephone-administered battery of tests that assesses key aspects of cognitive functioning (i.e., episodic verbal memory, working memory, verbal fluency, inductive reasoning, and processing speed). It was designed for use in the National Survey of Midlife Development in the United States (MIDUS) by adapting established neuropsychological tests and supplementing with new subtests.2,3 It has been shown to be a valid measure of cognition for healthy adults across a wide range of ages and ability levels.1,4 In the context of TBI, the BTACT was shown to be a feasible and efficient measure of cognition for individuals who sustained moderate-severe TBI.5 Additionally, the BTACT composite scores of overall cognition, verbal memory, and executive function were found to be valid measures in a TBI inpatient population. (“Convergent Validity of In-Person Assessment of Inpatients with Traumatic Brain Injury Using the Brief Test of Adult Cognition by Telephone (BTACT)” submitted as companion paper to this issue of the Journal of Head Trauma Rehabilitation)

Given that the BTACT is brief (15–20 minutes) and validated for telephone administration in TBI, it has the potential to be a useful measure of cognitive function for longitudinal research focusing on recovery after TBI.5 The BTACT has been adopted for use in several TBI studies, including the TBI Model Systems program, Translating Research and Clinical Knowledge in TBI, and the Chronic Effects of Neurotrauma Consortium. It is therefore important to ensure an appropriate community comparison sample is available to establish the baseline distribution of the reference population and facilitate calculation of standardized scores. Ideally, to accurately interpret performance of a research sample, community reference data should be collected from a large sample whose demographic characteristics are representative of individuals whose performance will be measured with the test. It is further important to establish standardized scoring methods for the BTACT so that scores can be compared across cohorts and studies. Previous work has compared BTACT data from different MIDUS cohorts, but no study has combined the cohorts to create a sample with an expanded age range that includes younger adults under 32 years (MIDUS Refresher) and older adults over 76 years (MIDUS II).6 Accordingly, this manuscript details methods used to pool BTACT data collected from the MIDUS II and MIDUS Refresher cohorts to create a larger, more representative community comparison sample for research use, while also illustrating standardized scoring practices for use across studies.

METHODS

Study Sample

Available community data for the BTACT come from the MIDUS II study cohort and the MIDUS Refresher cohort. The MIDUS study is a national, longitudinal study of health and well-being during adulthood in a probability sample of Americans.2 The first wave of the MIDUS study (MIDUS I)7 collected survey data by telephone on 7,108 participants in 1995–1996 based on random digit dialing of phone numbers, with oversampling of urban dwellers, older adults, and men.8,9 Eligible participants were non-institutionalized, English-speaking adults, aged 25 to 75, living in the continental United States. Further details about MIDUS study design are provided elsewhere (http://midus.wisc.edu).

The MIDUS II study,10 conducted between 2004 and 2006, followed the original MIDUS I sample for an average of 9 years after initial contact, incorporating the BTACT for the first time. Of the original sample, 4,512 participants, aged 32 to 84 years, completed the MIDUS II interview and the BTACT via telephone.3,8 MIDUS II BTACT summary data were published by Lachman et al.4

The MIDUS Refresher study,11 conducted between 2011 and 2016, supplemented the original MIDUS I sample to address attrition and permit cohort comparisons and resulted in a wider age range. The study recruited a national simple random sample of 3,577 adults aged 23 to 76 years,6,11 of which 2,763 participants completed the BTACT.12

Measures

Brief Test of Adult Cognition by Telephone (BTACT)

The BTACT consists of six primary subtests, presented below in order of administration. The Stop and Go Switch Task1 was not included in this study. Subtest scores were compiled to create three composite scores: overall cognition, episodic verbal memory, and executive function.

Word List Immediate Recall

Word List Immediate Recall measures immediate recall of a 15-word list derived from the Rey Auditory Verbal Learning Test (RAVLT).13 The list is read aloud to participants, who then must immediately recall the words. The score represents the total number of words recalled correctly.

Digits Backward

Digits Backward measures working memory with Digit Span Backward from the Wechsler Adult Intelligence Scale-III.14 A string of 2–8 numbers is read aloud and participants are asked to repeat the numbers in reverse order. The score ranges from 0–8, based on the longest set of digits correctly repeated backwards.

Category Fluency

Category Fluency involves naming as many animals as possible in 60 seconds as a measure of executive functioning. The score is the total number of different animals named.

Number Series

Number Series measures inductive reasoning by asking for a sixth number in a series of 5 presented numbers. Participants must identify the pattern in the sequence and apply that pattern to successfully determine the sixth number. The score ranges from 0–5 depending on the total number of sequences completed correctly.

Backward Counting

Backward Counting, a measure of processing speed, requires participants to quickly generate a non-automatic sequence of familiar items by counting backwards from 100 aloud as quickly and accurately as possible, for a span of 30 seconds. The score is the total number of digits correctly produced.6

Word List Delayed Recall

Word List Delayed Recall, a measure of memory retrieval, involves recall of the RAVLT word list presented approximately 15 minutes earlier. The score ranges from 0–15, based on the total number of words recalled correctly.

Procedures

The MIDUS II and Refresher raw BTACT and demographic (age, sex, and education) data were obtained from the Inter-University Consortium for Political and Social Research data archive (retrieved May 14, 2019 from https://www.icpsr.umich.edu/icpsrweb/ICPSR/series/203). Age and years of education were categorized into variables with five (20–30s, 40s, 50s, 60s, and 70–80s) and two levels (less than Bachelor’s degree vs. Bachelor’s degree or higher), respectively. Means and standard deviations (SD) were computed for each BTACT subtest by age decade, sex, and education level. Subtests were used to create three composite scores: BTACT Composite, Episodic Verbal Memory Composite, and Executive Function Composite. First, z-scores were derived for each of the six subtests by age, sex, and education based on the stratified mean and SD of the respective MIDUS II or Refresher sample. Composites were created by averaging z-scores for the respective subtests, then re-standardizing (mean=0, SD=1) the average to generate a composite z-score. The overall BTACT Composite was created from all six subtests; the Episodic Verbal Memory Composite from Word List Immediate Recall and Word List Delayed Recall; and the Executive Function Composite from Digits Backward, Category Fluency, Number Series, and Backward Counting. Means and SDs were computed for each BTACT composite by age decade, sex, and education level. Composites were only computed for cases with complete data on all required constituent subtests.

Data Analysis

We derived weighted means and SDs from the MIDUS II and MIDUS Refresher cognitive data by age decade, sex, and education level (see Supplemental Digital Content 1 for full description of weighted statistics calculations). Weights were proportional to the sample size in each strata derived from the MIDUS II and Refresher data. There were few individuals younger than age 30 and older than 79 in the MIDUS II project and the MIDUS Refresher project. To adjust for the small sample sizes in these age-strata, all participant information for those less than 30 or greater than 79 years of age were combined with those aged between 30–39 and 70–79, respectively.

Differences in BTACT performance by age decade were tested using one-way analysis of variance and the Jonckheere-Terpstra test to determine trends of lower median scores with older age decades. Differences in BTACT performance by education level were tested using independent samples t-test.

RESULTS

This study included 4,200 participants from the MIDUS II study after excluding 312 individuals with missing education data. As documented by Lachman et al.,4 the sample was predominantly comprised of non-Hispanic, white females who were well-educated and aged 28 to 84 (Table 1). From the MIDUS Refresher study, we included 2,547 after excluding 216 individuals with missing education data. The majority of this sample was comprised of non-Hispanic, white individuals aged 23 to 76 with a Bachelor’s degree or higher (Table 1). Overall, the final community comparison sample included 6,747 English-speaking adults between the ages of 23 to 84 (Table 1).

Table 1.

Sample Characteristics.

MIDUS II Sample
(N = 4,200)
MIDUS Refresher Sample
(N = 2,547)
Combined Sample
(N = 6,747)
Age, mean (SD), years 56.0 (12.3) 52.58 (14.2) 54.7 (13.2)
Sex, n (%)
 Male 1925 (45.8) 1219 (47.9) 3144 (46.6)
 Female 2275 (54.2) 1328 (52.1) 3603 (53.4)
Race, n (%)
 White 3741 (89.1) 2054 (80.6) 5795 (85.9)
 Black/African American 126 (3.0) 134 (5.3) 260 (3.9)
 Asian 21 (0.5) 34 (1.3) 55 (0.8)
 American Indian/Alaska Native 30 (0.7) 18 (0.7) 48 (0.7)
 Native Hawaiian/Other Pacific Islander 4 (0.1) 4 (0.2) 8 (0.1)
 Multiracial 164 (3.9) 138 (5.4) 302 (4.5)
 Other 97 (2.3) 155 (6.1) 252 (3.7)
 Unknown 13 (0.3) 7 (0.3) 20 (0.3)
 Refused 4 (0.1) 3 (0.1) 7 (0.1)
Ethnicity, n (%)
 Hispanic or Latino 124 (2.8) 107 (4.2) 231 (3.4)
 Not Hispanic or Latino 4064 (96.8) 2435 (95.6) 6499 (96.3)
 Unknown 10 (0.2) 2 (0.1) 12 (0.2)
 Refused 2 (0.0) 3 (0.1) 5 (0.1)
Education, n (%)
 Less than high school 243 (5.8) 108 (4.2) 351 (5.2)
 High school/GED 1114 (26.5) 441 (17.3) 1555 (23.0)
 Some college 921 (21.9) 458 (18.0) 1379 (20.4)
 Associate’s degree 325 (7.7) 290 (11.4) 615 (9.1)
 Bachelor’s degree or greater 1597 (38.0) 1250 (49.1) 2847 (42.3)

We present the means and SDs for the MIDUS II and MIDUS Refresher combined sample based on age decade, sex, and education level for each of the BTACT subtests (Table 2) and composites (Table 3). Higher scores indicate better performance. The scores decreased with age and increased with greater education (Supplemental Digital Content 2). An example of standardized scoring procedures is provided (Supplemental Digital Content 3), and an online application for scoring and standardizing raw BTACT data may be accessed at https://hub.tbindsc.org/tbimsdatadictionary/Home.

Table 2.

Community Comparison Sample Data for the BTACT Subtests: Means (M) and Standard Deviations (SD) Based on Age Decade, Sex, and Education Level.

Age Decade
20–30s 40s 50s 60s 70–80s
Measure Sex Education M SD N M SD N M SD N M SD N M SD N
Word List Immediate Recall Male Less than BA 7.00 1.91 201 6.46 2.01 372 6.05 2.01 413 5.64 1.97 387 4.57 1.89 284
BA or higher 7.68 2.01 233 7.47 1.92 342 7.09 1.97 360 6.39 1.87 335 5.60 2.21 205
Female Less than BA 7.59 2.36 259 7.43 2.16 452 7.26 2.20 563 6.97 2.25 519 5.61 2.15 433
BA or higher 8.37 2.24 247 8.13 2.07 371 8.08 2.14 342 7.78 2.30 280 6.63 2.62 125
Word List Delayed Recall Male Less than BA 4.63 2.26 195 4.13 2.19 360 3.53 2.12 388 3.21 2.30 367 2.27 2.07 263
BA or higher 5.46 2.27 218 5.07 2.35 331 4.48 2.24 355 3.75 2.18 327 3.17 2.46 195
Female Less than BA 5.70 2.72 245 5.47 2.50 427 4.97 2.61 539 4.59 2.61 497 3.11 2.45 402
BA or higher 6.44 2.66 235 5.99 2.24 358 5.72 2.54 327 5.29 2.67 267 4.42 2.69 115
Digits Backward Male Less than BA 5.15 1.54 203 4.92 1.47 372 4.56 1.50 411 4.66 1.35 388 4.25 1.34 287
BA or higher 5.88 1.45 233 5.53 1.41 342 5.28 1.49 362 5.21 1.43 332 4.79 1.60 205
Female Less than BA 5.09 1.53 256 5.06 1.48 450 4.94 1.50 563 4.92 1.43 519 4.51 1.66 433
BA or higher 5.69 1.32 247 5.35 1.40 371 5.35 1.39 342 5.38 1.56 280 5.05 1.50 126
Category Fluency Male Less than BA 20.11 6.56 202 19.23 5.65 372 18.36 5.67 411 17.62 5.79 388 15.41 5.04 287
BA or higher 24.71 6.18 232 22.90 5.88 342 21.90 5.84 363 20.63 6.13 334 17.22 5.79 205
Female Less than BA 19.84 5.80 258 18.89 5.76 450 18.10 5.65 563 16.64 5.40 519 14.61 5.27 434
BA or higher 23.19 5.95 246 22.81 5.97 369 21.69 6.06 341 20.51 5.69 278 18.58 5.77 125
Number Series Male Less than BA 2.76 1.52 201 2.25 1.51 370 2.05 1.45 408 1.84 1.35 382 1.42 1.20 281
BA or higher 3.66 1.19 230 3.38 1.35 342 3.37 1.30 362 2.99 1.40 334 2.46 1.49 204
Female Less than BA 2.17 1.43 256 2.06 1.48 446 1.85 1.42 553 1.60 1.31 510 1.24 1.18 419
BA or higher 3.16 1.37 246 3.13 1.37 370 2.91 1.35 338 2.67 1.44 275 2.21 1.39 122
Backward Counting Male Less than BA 43.90 12.32 200 40.89 11.43 369 37.09 10.83 408 34.57 9.62 386 29.76 8.62 285
BA or higher 49.83 11.41 229 46.46 11.17 340 44.48 11.23 360 39.06 9.59 334 34.47 10.06 204
Female Less than BA 40.86 11.45 257 37.89 11.05 446 35.10 10.00 560 31.58 8.39 516 27.57 8.55 431
BA or higher 46.03 10.93 245 43.64 9.57 369 40.00 9.34 338 36.34 9.51 277 31.38 8.27 125

Note: The community comparison sample was derived by combining the MIDUS II and MIDUS Refresher cohorts, although ages 20–30 are primarily from the MIDUS Refresher cohort and 70–80 are primarily from the MIDUS II cohort. N = combined (MIDUS II and Refresher) sample size for the corresponding level. BA = Bachelor’s degree.

Table 3.

Community Comparison Sample Data for the BTACT Composites: Means (M) and Standard Deviations (SD) Based on Age Decade, Sex, and Education Level.

Age Decade
20–30s 40s 50s 60s 70–80s
Measure Sex Education M SD N M SD N M SD N M SD N M SD N
Episodic Verbal Memory Compositea Male Less than BA 0.01 0.93 195 0.02 0.92 360 0.02 0.91 388 0.01 0.93 367 0.02 0.93 263
BA or higher 0.02 0.94 218 0.004 0.93 331 −0.001 0.92 355 0.01 0.92 327 0.02 0.95 195
Female Less than BA 0.01 0.95 245 0.002 0.94 427 −0.001 0.93 539 0.01 0.94 497 0.03 0.92 402
BA or higher 0.004 0.96 234 0.01 0.92 358 0.01 0.93 327 0.01 0.92 267 −0.004 0.94 115
Executive Function Compositeb Male Less than BA 0.003 0.67 200 0.004 0.72 369 0.01 0.69 406 0.02 0.70 381 0.004 0.66 281
BA or higher 0.001 0.65 229 0.003 0.66 340 0.01 0.66 359 0.00 0.69 332 0.005 0.63 203
Female Less than BA −0.002 0.65 251 0.01 0.69 445 0.01 0.66 552 0.001 0.67 507 0.02 0.66 417
BA or higher 0.01 0.66 244 −0.001 0.67 369 0.002 0.65 338 0.02 0.63 275 0.02 0.60 122
BTACT Compositec Male Less than BA 0.01 0.66 194 0.01 0.67 359 0.03 0.64 384 0.02 0.65 363 0.02 0.62 260
BA or higher 0.01 0.60 218 0.002 0.60 330 −0.003 0.61 353 0.001 0.61 326 0.02 0.61 193
Female Less than BA 0.01 0.60 238 0.02 0.63 425 0.01 0.62 533 0.01 0.63 489 0.04 0.64 391
BA or higher 0.01 0.63 234 0.002 0.60 357 0.01 0.60 327 0.03 0.58 265 0.03 0.54 112

Note: BA = Bachelor’s degree.

a

The Episodic Verbal Memory Composite is the average of the z-scores for Word List Immediate Recall and Word List Delayed Recall, standardized to a z-score (M=0, SD=1).

b

The Executive Function Composite is the average of the z-scores scores for Digits Backward, Category Fluency, Number Series, and Backward Counting, then standardized to a z-score (does not include the Stop and Go Switch Task).

c

The BTACT Composite is the average of the z-scores for all six subtests, standardized to a z-score. Composites were calculated only for cases with scores on all constituent subtests.

DISCUSSION

This paper provides BTACT community comparison sample data based on age, sex, and education from a national sample of 6,747 healthy adults to facilitate assessment of cognitive function in research studies. Scores decreased with age and increased with education, which is consistent with published neuropsychological norms and supports the face validity of the MIDUS community comparison sample. Reference BTACT data were standardized by age, sex, and education to allow for performance-based comparisons between a TBI sample and the MIDUS community comparison sample, adjusting for demographics. Thus, standardized BTACT scores can provide a benchmark of how the cognitive status of an individual who sustained a TBI compares to a sample of cognitively intact individuals of the same age, sex, and education. Composite scores were re-standardized to facilitate interpretation on a common metric.

The BTACT is a well-validated telephone-administered cognitive test battery, making it valuable for large-scale longitudinal research initiatives examining the trajectory of cognition over time following TBI.5 Telephone administration may be preferred in large epidemiological studies whereby in-person visits may introduce selection bias. As demonstrated here, BTACT reference data are available from a large sample drawn from across the United States with a wide age range, which supports the stability of score estimates and their representativeness of the general population. Existing MIDUS and BTACT data may be requested for use at https://www.icpsr.umich.edu/web/NACDA/studies/25281 and https://www.icpsr.umich.edu/web/NACDA/studies/37081.

Some limitations remain; for example, there are fewer subjects in the lowest and highest age decades of the community comparison sample, so scores may be less accurate for adults in these age groups. It should be noted that the community comparison sample is predominantly white, and caution is warranted when comparing the community comparison sample to diverse populations. Finally, the BTACT is a brief cognitive assessment tool and has not been validated for clinical use or diagnosis.

Overall, our characterization of the combined BTACT community comparison sample will facilitate investigation of cognitive functioning in large scale TBI research studies, and will support secondary analysis of existing BTACT data gathered through the MIDUS study.

Supplementary Material

Supplement 1
Supplement 2
Supplement 3

Conflicts of Interest and Source of Funding:

Thomas A. Novack is currently receiving a grant (# 90DTPB0015) from the National Institute on Disability, Independent Living, and Rehabilitation Research. Kristen Dams-O’Connor is currently receiving a grant (# 90DPTB0009) from the National Institute on Disability, Independent Living, and Rehabilitation Research and a grant (RF1NS115268-01) from the National Institutes of Health National Institute on Neurological Disorders and Stroke. Margie E. Lachman acknowledges support from grants (P01-AG020166 and U19-AG051426) from the National Institute on Aging. For the remaining authors none were declared.

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