Literature DB >> 29213535

Standardization of the normative group for the third version of the test of visual attention - TAVIS.

Gabriel Coutinho1, Paulo Mattos2, Catia Araújo3, Manuela Borges1, Angela Alfano4.   

Abstract

Despite the importance of objective measures of attention to clinical practice, there is a paucity of Brazilian standardized tests.
OBJECTIVE: The aim of the present study was the standardization of a normative group for the third version of a computerized test of visual attention (TAVIS-3), developed to evaluate children and adolescents in the 6 to 17 years age range.
METHODS: 631 students from 3 schools in Rio de Janeiro city were assessed with TAVIS-3, administered by experienced psychologists, following parents' authorization.
RESULTS: The normative groups were determined considering performance of different age groups: from 6 to 10 years (with scores for 5 different ages); from 11 to 12 and from 13 to 17 years. Three tasks (focused, shifted and sustained attention) were standardized for each age group.
CONCLUSION: The standardization of a normative group for TAVIS-3 discriminated performance ranges for distinct age groups, allowing its use as a neuropsychological assessment of attention.

Entities:  

Keywords:  attention; computerized tests; neuropsychology

Year:  2008        PMID: 29213535      PMCID: PMC5619149          DOI: 10.1590/S1980-57642009DN20100005

Source DB:  PubMed          Journal:  Dement Neuropsychol        ISSN: 1980-5764


Attention has been conceived as a complex phenomenon that shares it limits with perceptual skills, memory, affect and consciousness.[1] There are a number of different definitions of attention where the focused type has been the most used.[2] The amount of information that may be processed simultaneously (working memory) is another commonly used definition for attention. It is noteworthy that attention is characterized by its variability even in the same individual.[3] Attention is comprised of somewhat different aspects, as follows: a) focused attention: is the ability to focus only on relevant stimulus despite distractive ones, selecting information relevant to conscious processing; b) sustained attention: is the ability to sustain a consistent behavioral response through a continuous action. This skill comprises two different, but related, aspects: the amount of time that the performance level may be kept up, and performance consistency throughout this interval; c) shifted attention: this is related to the ability of shifting focus among tasks with different cognitive ability demands, determining the information that will be focused on at any specific moment of time. Attention deficit hyperactivity disorder (ADHD),[4] Epilepsy[5] and Learning Disorders (LD)[6] are some of the most common neuropsychiatric disorders associated with inattention. The establishment of an accurate diagnosis of ADHD, for example, may demand an assessment with multiple informants (such as parents and teachers); however, some studies have demonstrated that the agreement rates between parents’ and teachers’ reports might be low.[7-9] Therefore, objective measures of attention would prove extremely important to clinical practice. Neuropsychological tests might provide two different, but related contributions: a) contribute to the establishment of a clinical diagnosis; b) determine the cognitive profile in cases where the clinical diagnosis had been previously determined, furnishing an estimate of the disorder’s severity and evolution, as well as response to treatments.[10] The objective of the current paper was to work toward standardizing the normative data of a test previously developed in Brazil by Duchesne and Mattos[1] to evaluate children and adolescents within the 6 to 17 years age, and now in its third version. This third version also differs from the former one because it has been adapted for Windows; other differences will be mentioned below. This computerized test consists of three tasks aimed at evaluating focused, shifted and sustained visual attention. Each of the tasks provides scores of hit reaction time, omission and commission errors for the aforementioned aspects. Both positive and negative predictive values of TAVIS-3 for Attention-Deficit Hyperactivity Disorder (ADHD) have been published elsewhere.[11]

Methods

Sample

631 consecutive children and adolescents with ages ranging from 6 to 17 years were evaluated over a 2-year period. Recruitment and assessment occurred in three schools (two private and one public) of Rio de Janeiro city. The evaluations were coordinated by schools’ educational services. Individuals with previous history of epilepsy or traumatic brain injury and individuals undergoing treatment for psychiatric or neurological disorders were excluded from the study. Schools held data regarding students’ health and use of medication. Use of psychoactive substances was investigated with parents using direct questioning. The evaluations were conducted individually by intensively trained psychologists in quiet rooms at schools. The study was approved by the Ethics Committee of the Psychiatry Institute of the Federal University of Rio de Janeiro.

Tools

TAVIS-3 included the following tasks:

Task 1

The examinee must selectively respond to target stimulus regardless of distracters. This task follows a model of tests that demands the subject to inhibit concurrent stimuli, often used in cancellation tests, such as the teste de atenção concentrada (AC)[12]. This task still requires visual scanning (ability to follow a group of information with eyes) as well as sustained attention. Impaired performances may suggest difficulties in focused or sustained attention.

Task 2

The examinee responds to the task shifting between two different patterns of rules: color/shape (12 year-old subjects or older) or equal/different (subjects younger than 12 years’ old). This task intends to evaluate shifted attention, demanding the subject to switch focus between two different concepts (adolescents) or two parameters of the same concept (children).

Task 3

This task demands the examinee to sustain attention for a certain amount of time (6 minutes for small children and 10 minutes for adolescents) while responding quickly to the appearance of a target stimulus. This is mainly a task of sustained attention, lasting for 10 minutes in adolescent form and 6 minutes for children. In order to minimize difficulties due to little practice with the joystick, the examinee is previously trained with the tool. Also, each of the tasks comprises a training session in order to guarantee that a full understanding of the procedures was achieved. The training process of each task has a time limit that varies with age; however this process can be repeated in cases where examinee presents difficulties in understanding the instructions.

Analyzed variables

The variables considered in the analysis of each of the tasks were:

Hit reaction time (HRT)

This is the time taken to respond to the stimulus. HRT is the average of the reaction times (throughout the task) and might be considered a measure of processing speed. Inattentive persons might appear to be attentive during the task; however the accuracy in detecting the stimulus is often reduced, with longer reaction time in comparison to normal subjects. This pattern has already been demonstrated in other etiologies[13-16]. When reaction time is very slow, there is the possibility of registering a “double error”, i.e., an omission error plus a subsequent commission error. This current version of TAVIS does not consider the subsequent commission error.

Omission errors (OE)

These occur when there is no register of a response to a target stimulus. This might occur due to the absence of a response to a target stimulus or if the response occurs only when the stimulus has already disappeared. Task 3 was developed to permit low frequency of omission errors.

Commission errors (CE)

This consists of responding to a distracter stimulus or in the absence of the target stimulus. In general, a high number of commissions may suggest impulsivity.

Results

The sample was balanced for gender in all of the studied age groups. The number of children and adolescents submitted to each of the three tasks was not necessarily the same, given that task 2 was not administered to younger children and that some of the evaluations were not considered for the final analysis (Table 1).
Table 1

General characteristics of each task sample, divided by age group and gender.

 Total Male Female
AgeN% N% N%
Task 1        
    6     7     8     9     10     11 to 12     13 to 17     Total55 52 80 77 73 75 219 631100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 24 18 42 43 32 44 115 31843.6 34.6 52.5 55.8 43.8 58.7 52.5 50.4 31 34 38 34 41 31 104 31356.4 65.4 47.5 44.2 56.2 41.3 47.5 49.6
Task 2        
    7     8     9     10     11 to 12     13 to 17     Total42 41 47 51 58 105 344100.0 100.0 100.0 100.0 100.0 100.0 100.0 14 20 27 20 28 56 16533.3 48.8 57.4 39.2 48.3 53.3 48.0 28 21 20 31 30 49 17966.7 51.2 42.6 60.8 51.7 46.7 52.0
Task 3        
    6     7     8     9     10     11 to 12     13 to 17 Total52 49 74 74 71 74 218 612100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 24 18 38 40 31 43 115 30946.2 36.7 51.4 54.1 43.7 58.1 52.8 50.5 28 31 36 34 40 31 103 30353.8 63.3 48.6 45.9 56.3 41.9 47.2 49.5
General characteristics of each task sample, divided by age group and gender. The normative age groups were determined considering the individual’s performance. Therefore, one group was created for those aged from 6 to 10 years; another group for ages 11 and 12; and another one for ages from 13 to 17 years. It is noteworthy that children aged from 6 to 7 years and 11 months were submitted to tasks in which stimuli were presented for a longer period. Only older children and adolescents were considered for task 2 due to the inconsistent and poor performance of younger children on this task. It is reasonable to consider that some of the difficulties faced by infants may be associated to reading abilities. The descriptive statistics of HRT are shown in Table 2; the descriptive statistics of CE are shown in Table 3 and the descriptive statistics of OE are shown in Table 4.
Table 2

Hit reaction time (in seconds), divided by task and age group.

 Age
 67891011 to 1213 to 17
Task 1       
    N     Mean     Standard deviation     Minimum     Maximum55 0.743 0.090 0.510 0.93052 0.673 0.077 0.470 0.89080 0.555 0.051 0.434 0.70077 0.540 0.055 0.388 0.67073 0.500 0.050 0.375 0.61175 0.470 0.052 0.340 0.580219 0.449 0.036 0.361 0.553
Task 2       
    N     Mean     Standard deviation     Minimum     Maximum 42 0.845 0.154 0.440 1.16041 0.673 0.094 0.470 0.91047 0.671 0.104 0.420 0.98051 0.611 0.099 0.410 0.83058 0.541 0.118 0.320 0.820105 0.555 0.093 0.310 0.880
Task 3       
    N     Mean     Standard deviation     Minimum     Maximum52 0.641 0.134 0.410 0.92049 0.585 0.082 0.440 0.80074 0.492 0.090 0.340 0.76074 0.464 0.086 0.335 0.73571 0.421 0.057 0.309 0.59074 0.388 0.064 0.276 0.570218 0.357 0.048 0.253 0.510
Table 3

Number of commission errors (in percentage), divided by task and age group.

Commission errorsAge
6 7 8 9  10 11-12 13-17
n% n% n% n% n% n% n%
Task 1                    
0 1 2 3 4 5 6 7 8 9 10 to 16 Total8 17 15 7 2 2 2 2 0 0 0 5514.5 30.9 27.3 12.7 3.6 3.6 3.6 3.6 0.0 0.0 0.0 100 6 19 16 9 1 1 0 0 0 0 0 5211.5 36.5 30.8 17.3 1.9 1.9 0.0 0.0 0.0 0.0 0.0 100 5 15 20 16 10 8 1 5 0 0 0 806.3 18.8 25.0 20.0 12.5 10.0 1.3 6.3 0.0 0.0 0.0 100 9 27 13 16 6 3 1 2 0 0 0 7711.7 35.1 16.9 20.8 7.8 3.9 1.3 2.6 0.0 0.0 0.0 100 8 25 23 8 6 1 1 1 0 0 0 7311.0 34.2 31.5 11.0 8.2 1.4 1.4 1.4 0.0 0.0 0.0 100 20 19 25 6 3 1 1 0 0 0 0 7526.7 25.3 33.3 8.0 4.0 1.3 1.3 0.0 0.0 0.0 0.0 100 10 30 40 34 28 23 13 14 9 5 13 2194.6 13.7 18.3 15.5 12.8 10.5 5.9 6.4 4.1 2.3 5.9 100
Task 2                    
0 1 2 3 4 5 6 7 8 9 10 to 13 Total   0 7 5 7 6 3 4 1 4 2 3 420.0 16.7 11.9 16.7 14.3 7.1 9.5 2.4 9.5 4.8 7.1 100 1 1 4 1 6 6 4 5 2 1 10 412.4 2.4 9.8 2.4 14.6 14.6 9.8 12.2 4.9 2.4 24.4 100 1 3 5 5 9 6 0 8 1 3 6 472.1 6.4 10.6 10.6 19.1 12.8 0.0 17.0 2.1 6.4 12.8 100 5 10 8 6 7 4 3 5 1 2 0 519.8 19.6 15.7 11.8 13.7 7.8 5.9 9.8 2.0 3.9 0.0 100 5 10 14 8 9 3 2 1 1 3 2 588.6 17.2 24.1 13.8 15.5 5.2 3.4 1.7 1.7 5.2 3.4 100 5 12 22 25 11 12 8 4 1 2 3 1054.8 11.4 21.0 23.8 10.5 11.4 7.6 3.8 1.0 1.9 2.9 100
Task 3                    
0 1 2 3 4 5 6 Total28 12 5 3 3 1 0 5253.8 23.1 9.6 5.8 5.8 1.9 0.0 100 26 15 1 2 1 2 2 4953.1 30.6 2.0 4.1 2.0 4.1 4.1 100 44 15 10 0 3 2 0 7459.5 20.3 13.5 0.0 4.1 2.7 0.0 100 50 11 9 4 0 0 0 7467.6 14.9 12.2 5.4 0.0 0.0 0.0 100 52 9 6 2 2 0 0 7173.2 12.7 8.5 2.8 2.8 0.0 0.0 100 57 9 3 4 1 0 0 7477.0 12.2 4.1 5.4 1.4 0.0 0.0 100 154 40 13 7 2 1 1 21870.6 18.3 6.0 3.2 0.9 0.5 0.5 100
Table 4

Number of omission errors (in percentage). Divided by task and age group.

Omission errorsAge
6 7 8 9 10 11-12 13-17
n% n% n% n% n% n% n%
Task 1                    
0 1 2 3 4 5 6 7 8 9 to 16 Total25 15 10 0 5 0 0 0 0 0 5545.5 27.3 18.2 0.0 9.1 0.0 0.0 0.0 0.0 0.0 100 39 7 5 1 0 0 0 0 0 0 5275.0 13.5 9.6 1.9 0.0 0.0 0.0 0.0 0.0 0.0 100 10 23 19 9 9 4 3 2 1 0 8012.5 28.8 23.8 11.3 11.3 5.0 3.8 2.5 1.3 0.0 100 22 24 23 5 3 0 0 0 0 0 7728.6 31.2 29.9 6.5 3.9 0.0 0.0 0.0 0.0 0.0 100 25 22 17 5 3 1 0 0 0 0 7334.2 30.1 23.3 6.8 4.1 1.4 0.0 0.0 0.0 0.0 100 41 16 9 4 3 1 1 0 0 0 7554.7 21.3 12.0 5.3 4.0 1.3 1.3 0.0 0.0 0.0 100 40 28 45 20 28 17 13 6 3 19 21918.3 12.8 20.5 9.1 12.8 7.8 5.9 2.7 1.4 8.7 100
Task 2                    
0 1 2 3 4 5 6 Total   15 10 9 2 1 4 1 4235.7 23.8 21.4 4.8 2.4 9.5 2.4 100 7 10 13 5 4 0 2 4117.1 24.4 31.7 12.2 9.8 0.0 4.9 100 19 11 9 5 2 1 0 4740.4 23.4 19.1 10.6 4.3 2.1 0.0 100 26 15 3 4 3 0 0 5151.0 29.4 5.9 7.8 5.9 0.0 0.0 100 33 14 6 4 1 0 0 5856.9 24.1 10.3 6.9 1.7 0.0 0.0 100 40 32 24 7 2 0 0 10538.1 30.5 22.9 6.7 1.9 0.0 0.0 100
Task 3                    
0 1 Total52 0 52100 0.0 100 49 0 49100 0.0 100 74 0 74100 0.0 100 74 0 74100 0.0 100 71 0 71100 0.0 100 73 1 7498.6 1.4 100 215 3 21898.6 1.4 100
Hit reaction time (in seconds), divided by task and age group. Number of commission errors (in percentage), divided by task and age group. Number of omission errors (in percentage). Divided by task and age group.

Discussion

Given that attention is a complex phenomenon, it must be emphasized that TAVIS-3 allows the evaluation of different aspects of visual attention (focused, shifted and sustained) separately. Moreover, the test provides indexes of HIT, CE and OE for each of the three aforementioned aspects of visual attention; it also permits identification of deficits with high accuracy. The training session with the joystick before the administration of each of the tasks is especially important to guarantee the reliability of the results because it minimizes the possibility of poor performances due to low familiarity with the tools. Mattos[17] presented the most important advantages of utilizing computerized tests: a) optimization of time (there is no need for consulting tables or calculating scores), b) higher accuracy in administrating and correcting (both automatic), c) the possibility to show complex stimulus on screen, d) the possibility of obtaining specific variables (for example, hit reaction time in seconds, information that is often imprecise when measured manually with a chronometer), e) frees the examiner to observe the examinee’s behavior qualitatively during the execution of the task. Working with percentiles allows a dimensional analysis of the results, instead of classifying the performances only as normal or impaired. Thus, it is possible to estimate the severity of the impairment based on comparisons to normative groups. Some limitations must be considered before administering and interpreting these results, as in any neuropsychological test, namely: important motor deficits, acromatopsy, daltonism, deficits in visual perceptual skills and behavioral variables through the execution of the tasks which might generate results with low reliability. It must be noted that neuropsychological test results must be understood in the light of clinical history and also taking into consideration the neuropsychologist’s qualitative evaluation. Impaired performances in tests of visual attention are neither sufficient nor necessary for the diagnosis of any neuropsychiatric disorder. Nevertheless, when combined with clinical history and qualitative evaluation, the results of the test may be extremely useful to delineate the symptomatic profile, enabling a more precise diagnosis. The standardization of the normative group for TAVIS-3 will allow its use as another tool for neuropsychological assessment. Although there are other tests of attention with Brazilian normalization – such as the AC[11] and, more recently, the Stroop[18] – there are currently few computerized tests available in our environment. The use of computerized tests decreases the chances of errors in administering and correcting them, which is very important to assure the reliability of the results obtained.

Limitations

The current study should be understood in light of some limitations. We did not investigate the presence of LD in our sample, which might be considered a limitation given that previous studies have shown that LD may present with impairments in attention tasks 6. Also, adolescents were not questioned about psychoactive substances use; this issue was investigated only using parents’ reports. We did not compare the influence of school type (private or public) on test performance; however, the public school where the study was conducted is one of the best regarded in the city of Rio de Janeiro, which might have minimized the differences in task performances between students from public and private schools.
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Journal:  Pediatrics       Date:  2000-05       Impact factor: 7.124

2.  Neuropsychological executive functions and DSM-IV ADHD subtypes.

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Journal:  Lancet       Date:  1974-09-14       Impact factor: 79.321

5.  Long-term recovery of visual reaction time after closed head injury.

Authors:  A H Van Zomeren; B G Deelman
Journal:  J Neurol Neurosurg Psychiatry       Date:  1978-05       Impact factor: 10.154

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Authors:  Romaine Schubert
Journal:  Pediatr Neurol       Date:  2005-01       Impact factor: 3.372

7.  Parent ratings of school behaviour in children at risk of attention deficit/hyperactivity disorder.

Authors:  K Sayal; E Taylor
Journal:  Acta Psychiatr Scand       Date:  2005-06       Impact factor: 6.392

8.  Assessing the impact of parent and teacher agreement on diagnosing attention-deficit hyperactivity disorder.

Authors:  Mark L Wolraich; E Warren Lambert; Leonard Bickman; Tonya Simmons; Melissa A Doffing; Kim A Worley
Journal:  J Dev Behav Pediatr       Date:  2004-02       Impact factor: 2.225

9.  How informative are parent reports of attention-deficit/hyperactivity disorder symptoms for assessing outcome in clinical trials of long-acting treatments? A pooled analysis of parents' and teachers' reports.

Authors:  Joseph Biederman; Stephen V Faraone; Michael C Monuteaux; Joel R Grossbard
Journal:  Pediatrics       Date:  2004-06       Impact factor: 7.124

10.  A meta-analysis of the sensitivity and specificity of the Stroop Color and Word Test with children.

Authors:  Susan Homack; Cynthia A Riccio
Journal:  Arch Clin Neuropsychol       Date:  2004-09       Impact factor: 2.813

  10 in total

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