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J Exerc Rehabil > Volume 14(3);2018 > Article
Abuin-Porras, Villafañe, Jiménez-Antona, Palacios, Martínez-Pascual, and Rodríguez-Costa: Relationship between attention and balance: a dual-task condition study in children

Abstract

This study explored the relationship between motor functions and attention in children aged 4–5 years. A sample of 85 children was collected from a primary school (44 boys and 41 girls). We applied a standardized continuous attention performance test, the Kiddie Continuous Performance Test, under two conditions (sitting and balancing). Data were collected from two standardized balance tests, the Battelle and Pediatric Balance Scale. There was a significant relationship between attention and balance and gender differences that may condition the way to address balance issues in boys and girls. Gender should be considered when addressing balance problems to get efficient interventions. Balance skill may be a contributing factor in attention-deficit/hyperactivity disorder.

INTRODUCTION

Young children may experience difficulties in sustaining attention while they are being taught. Many factors contribute to attentional performance in the academic context when children are performing concurrent motor and cognitive tasks (Reilly et al., 2008).
In terms of information processing, have summarizes four main functions of attention: signal detection and vigilance, search, selective attention, and divided attention, which is the object of this study. Theories of attention generally agree that attentional resources are limited. In divided attention, available attentional resources are allocated to coordinate the performance of more than one task at a time or the processing of more than one source of information at the same time (McCulloch et al., 2010). The resource models conceive of attention as an energy or fuel, essential for processing, and of limited availability. There is a limited attention capacity available when two tasks are performed at the same time, so they compete for the resources. If there is need for more resources than the available attention capacity, the two tasks will interfere with each other, and one or both of them will suffer in performance speed or quality.
Additionally, from a mathematical perspective, signal-detection theory (SDT) provides a general framework to describe and study decisions that are made in uncertain or ambiguous situations, and has been used as broad framework to describe human performance on attention tasks. More precisely, two SDT parameters (d’ and β) have been proven very useful for studying human attention performance as they represent sensitivity (e.g., the ability to discriminate between signal and noise) and response bias (e.g., the tendency to respond affirmatively).
Subjects perform better on simultaneous attention-demanding tasks when such tasks are in different modalities. Some attentional resources may be specific to the modality (e.g., verbal or visual) of the task (Steindl et al., 2006).
Balance is usually considered the skill of maintaining the position of the body relative to stability limits (McCollum and Leen, 1989). It is an emergent property of a complex, multicomponent sensorimotor system, which clinicians often treat as a single set of automatic reactions (Horak, 2006). In the systems model, maintaining balance requires the integration of sensory information, the ability to generate forces to control one’s body position, and cognition (attention and motivation). Three sensorial systems are related to balance: the somatosensory, vestibular, and visual (Shumway-Cook and Horak, 1986). Not all systems have the same influence over balance and its maintenance; children are more influenced by the visual system as they have fewer references from the proprioception system located in the joints due to their lack of motor experience. This visual-propiocepcion interaction is not linear through the childhood period. There are critical phases where the system is adjusting. Assaiante and Amblard (1995) stablished that between 4 and 6 years there was a transition phase where the postural response deteriorates. Similar to babies that have to rely in vision for movement, children at this age have more visual-directed balance. Sun and Jensen (1994) reported that children at this age experimented a period of growth that could be the reason for children to have to rely in vision as their bodies information changes too fast to adapt.
The relationship between balance and attention has been considered as part of postural control (Kim et al., 2017). It has been postulated as a relationship between motor and cognitive factors that is required to explain human behavior related to motor skills (Horak, 2006).
Although there has been extensive research conducted on the relationship between cognitive abilities and balance in senior and impaired adults (Woollacott and Shumway-Cook, 2002), the relationship between attention and balance in children has not received as much attention. Some studies have addressed this topic, but they have used very dissimilar approaches and procedures (Hatzitaki et al., 2002; Livesey et al., 2006; Niederer et al., 2011; Piek et al., 1999; Piek et al., 2004; Roebers and Kauer, 2009), and few explored balance and attention in an isolated way. Balance was usually included in a compendium of motor-coordination skills and attention was usually distributed among several executive functions.
There appear to be no significant differences between genders in balance scores (Franjoine et al., 2003), but gender differences have been shown consistently in attentional performance. Indeed, the attention-deficit/hyperactivity disorder (ADHD) risk index is computed differently by gender (Barnard et al., 2015). It is important to deepen our understanding of the factors that compete for attentional resources during children’s performance so that teachers can design age-appropriate environments to improve learning (Reilly et al., 2008).
This project focused on the relationship between balance and attention by collecting static-balance measures and measuring attention under two conditions. The study explored the relationship between these two capacities, to determine if there exists interference between visual attention and balance tasks, and to examine if gender is a mediator variable in the relationship between visual attention and balance in children.

MATERIALS AND METHODS

Participants

The sample included 85 children (44 boys and 41 girls) aged 4–5 years who were attending a school in Madrid, Spain. The participants had not been diagnosed with either ADHD or any other psychological or serious medical conditions (including any balance impairments). Such diagnoses were considered exclusion criteria in. The study was approved by the Institutional Review Board of Universidad Rey Juan Carlos, Madrid, Spain (approval number: 060520165416) and written informed assent was obtained from the participants’ legal guardians.

Attention test

We applied a standardized attention test, the Conners’ Kiddie Continuous Performance Test (K-CPT) (Barnard et al., 2015) under two situations: the standard test condition (“sitting condition,” SC) and a “balance condition” (BC). The SC used the standard setup for the test, while in the BC the children responded the test while standing on a balance board. In terms of attention, the primary task was the K-CPT and the secondary task was maintaining balance. These conditions can be considered analogous to “noninterference” and “interference” test conditions as used in divided-attention experiments.
The K-CPT test is a standardized, computerized, continuous performance test. In the test, responders are asked to pay attention to a sequence of pictures appearing on a screen and to press the left mouse bottom for every picture that appears except for those that show a ball. It includes multiple performance measures related to attention: inattention, impulsivity, vigilance, and ADHD risk. Considering K-CPT scores, the study focused on five parameters—omissions (OM), commissions (COM), reaction time (RT), d-prime (d’), and beta (β)—given their relevance as fundamental attention measures. The ADHD risk index given by the test was also considered, due to its relevance as a general attention-factor measure.

Balance test

Balance was assessed using two standardized tests: the balance-related items for 4 and 5 years of age of the Batelle Developmental Inventory (BATTOT) (Rizzoli-Córdoba et al., 2015) and the Pediatric Balance Scale (PBSTOT) (Franjoine et al., 2003).

Study protocol

The study procedure included two blocks: K-CPT (block A) and PBS and Battelle (block B). Block order was randomized among the participants using a random number table, such that half of the children followed an AB sequence and the other half followed a BA sequence.
The K-CPT test was applied under two conditions. In the first condition, the standard seated condition, each child responded to the K-CPT test while seated on a regular chair, which was adjusted to his or her height so that his or her feet were on the floor with the computer on a table in front. In the second condition, the child performed the test while standing on a balance board. This condition was applied in two different ways: the 4-year-old children performed the test while standing on a less unstable board, and the 5-year-old children performed the test on a more unstable board. The objective was to challenge the children’s balance, so we created situations of similar difficulty for the two age groups. At this particular stage of development, great differences can be found in balance performance by age (Steindl et al., 2006).
The K-CPT test sessions were randomized within block A: half of the children performed the test first on a stable surface and second on an unbalanced surface, and half of the children in the reverse order. There was a 2-day interval between the two measures to avoid bias due to training. In block B, the Battelle and PBS tests were applied in randomized order, following standardized procedures.

Statistical analysis

Data were analysed using IBM SPSS Statistics ver. 22.0 (IBM Co., Armonk, NY, USA). The data were normally distributed, as demonstrated by the Kolmogorov–Smirnov test. Significance was set at P<0.05, with Bonferroni correction. Attention performance in SC and BC conditions was compared via t-tests. To analyze relationships between variables we used the Spearman correlation coefficient, and to compare gender outcomes, we conducted Student t-test.

RESULTS

Relationship between balance and attention

The correlations between K-CPT scores and balance tests appear in Table 1. For the SC test, there were several small but statistically significant correlations, particularly when considering OM, RTs, and ADHD risk. In the case of BC, an increase in the correlation values compared to the SD condition can be seen—most of which were significant—for OM, COM, RTs, d’, and ADHD risk.
Table 1 shows that the relationships between balance ability and attention in the SC test performance are positive (i.e., the correlations between balance scores and OM, COM, RT, and ADHD risk are significant and negative; conversely, the correlations between balance and d’ are positive). Therefore, we conclude that there is a small but significant relationship between attention and balance abilities. The BC test performance shows that this relationship becomes stronger when the attention system is stressed by adding a balance task. Greater balance skills are associated with improved attention performance in terms of reducing OM, COM, and RT—all of which are associated with a decreased ADHD-risk score. Additionally, better balance skills correlate with better stimulus discrimination.
To test the relationship between attention and balance in these experimental conditions, a multiple regression analysis (stepwise method) was performed using the ADHD score in the BC as the dependent variable and PBSTOT scores, BATTOT scores, and ADHD scores in the SC as predictor variables.
There was a significant relationship between ADHD scores in SC and BC (t=5.42, P<0.001). However, the balance test scores, especially BATTOT, also significantly contributed to predicting ADHD scores in BC. It should be noted that the relationship between the two ADHD scores is positive, but the relationship between ADHD scores in NC and balance scores is negative, as expected. That is, better performance in BATTOT is associated with decreased ADHD-risk scores.

Effect of balance on attention

Table 2 shows the results of the t-tests comparing attention performance in SC and BC. Balancing influenced attention performance as reflected in P-value and d’ values: Three of six factors changed significantly between conditions (i.e., OM, RTs, and ADHD risk). All reflected poorer performance during balancing (>OM, >RT, and >ADHD risk). In contrast, other factors remained unaffected by the BC condition as reflected in their associated d’ and β values.
Previously, we considered the effect of balance on attention in terms of differences in mean performance. We now consider linear effects, i.e., correlations. Results were relatively consistent in BC and SC: correlations were mostly positive and statistically significant (P<0.001). However, the correlation related to response bias (β) is the exception, being small and nonsignificant (r=0.07, P>0.05).
In general, relationships between balance and attentional performance occurred for accuracy/speed attentional parameters (i.e., OM, COM, and RT) rather than sensitivity/bias (d’, β).

Gender differences in balance and attention

Table 3 compares PBS and Battelle scores by gender. There were no significant differences between genders regarding balance skills.
Table 4 shows K-CPT scores in SC and BC by gender. There were differences between girls and boys for SC. Boys made more commission errors, had faster RTs, smaller d’s, marginally higher βs, and greater risk of ADHD.
Results in the BC varied widely; the only significant difference, albeit with a small effect size, was for RT. Boys answered more quickly than girls. This fact becomes more relevant when we recall that there were no gender differences in balance skills; that is, the differences are entirely due to issues related to gender differences in the processing of attentional resources.
Considering all of these results, we conclude that there were gender differences in attention performance in both conditions. Girls performed better than boys for the SC; however, in the BC boys improved their performance while girls’ performance worsened.

DISCUSSION

The aim of this study was to provide further evidence of the psychomotor nature of development, and how motor components, such as balance, and cognitive aspects, such as attention, cannot be considered separately in children (Roebers et al., 2014; van der Fels et al., 2015), nor treated separately in clinical environments. In this study, we found a significant relationship between balance and visual attention in children. These results were expected given previous outcomes (Hatzitaki et al., 2002; Piek et al., 1999; Piek et al., 2004; Roebers and Kauer, 2009). Nevertheless, prior studies used a variety of sample types (e.g., adult clinical samples) and many variations in variables assessed; as such, the relationship between balance and visual attention cannot be considered fully established. It is necessary to replicate these studies using consistent assessment tools. Note that, studies that used a similar methodology and focused on assessing balance and attention (i.e., using tests specifically of balance and attention) showed similar results.
Woollacott and Shumway-Cook (2002), in their review of the extant research on postural control and attention, reported several studies in adults that showed a strong connection between balance and visual processing (Kerr et al., 1985; Maylor and Wing, 1996), attention (Lajoie et al., 1993; McIlroy et al., 1999), and other cognitive processes (Brown et al., 1999; Stelmach et al., 1990). This study supports these findings, suggesting a visual processing link between balance and attention tasks that causes interference when they are performed at the same time in children aged 4–5.
In one of the few studies including children, Hatzitaki et al. (2002) explored the link between balance and visual processing using visual attention tests and a force platform for measuring balance, with similar results. Our study focused on the decrease in performance on attention tasks when there is a simultaneous balance demand, as previously assessed by McIlroy et al. (1999) in adults. Both studies reached similar conclusions and their results concur: when there is greater balance challenge, attention performance decreases.
However, there exist studies inconsistent with these findings. Studies in children have produced mixed results, possibly due to the different approaches taken by the researchers. Many such studies have linked motor abilities/skills with cognitive functions, and it should be noted that these are very broad constructs. Motor abilities include a range of concepts, such as coordination, laterality, strength, and balance; cognitive functions include processes such as perception, attention, memory, and problem solving. Accordingly, studies have failed to find relationships between balance and attention (Livesey et al., 2006; Niederer et al., 2011; Pitcher et al., 2003).
Regarding the findings of gender-mediated differences in performance on attention tests when balance is challenged, our data agree with those of several prior studies (Van Waelvelde et al., 2008) that did not find any differences between preschool boys’ and girls’ balance skills. The link between visual attention and balance must be considered to explain the better performance of the boys in this sample on the attention test in the BC (i.e., on an unstable platform). Livesey et al. (2006) reported gender differences in visual-spatial processing in 4-year-old children that could underlie the differences found here, in the frame of theories of limited attentional resources (Livesey and Intili, 1996). If boys have a greater ability to manage visual cues than girls, the balance of boys may be less affected by competition for attentional resources when performing two simultaneous tasks (i.e., visual attention and balance). That findings may condition the way we address balance problems in clinical approaches. Girls may need extra visual cues for their balance organization and maybe balance training programs should be personalized according to gender.
Finally, Livesey et al. (2006) noted the role of balance issues in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition ADHD diagnostic criteria, and other results suggest a relationship between ADHD prognosis and balance skills. Other researchers, such as Ghanizadeh (2011), dispute this relationship and suggest that comorbid psychiatric disorders may underlie the balance problems in children with ADHD. Therefore, it would be worth exploring our findings in a sample of individuals with ADHD, to determine if a comprehensive assessment of motor and cognitive components is needed in these children (Williams et al., 2013). Additionally, interventions addressing motor components of balance should be considered in the future.
In children aged 4–5, there is a relationship between attention and balance abilities as assessed when participants are seated condition that becomes more significant when the attention system is stressed by adding a balance task. Greater balance skills are associated with attention performance in terms of reducing OM, COM, and RT (factors that lead to a decreased ADHD-risk score) and lead to better stimulus discrimination.
The influence of balance on attentional performance is not homogenous; it is more pronounced in accuracy- and speed-related attentional parameters (i.e., OM, COM, and RT) than in sensitivity (d’ ) or bias (β) attentional parameters.
There exist gender differences in attentional performance. In the SC, girls showed better performance, but in the BC, boys improved their performance. These relationships should be explored in more complex, broader studies to further clarify their mechanisms.

Notes

CONFLICT OF INTEREST

No potential conflict of interest relevant to this article was reported.

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Table 1
Correlations between balance scores and attention
Variable Sitting condition Balance condition


PBSTOT BATTOT PBSTOT BATTOT
Omissions −0.29** −0.27* −0.25* −0.31**

Commissions −0.09 −0.27* −0.27* −0.26*

Reaction time −0.29** −0.23* −0.25* −0.34**

d’ 0.12 0.23* 0.34** 0.27*

β −0.18 −0.03 −0.07 0.08

ADHD −0.26* −0.33** −0.32** −0.38**

PBSTOT, Pediatric Balance Scale; BATTOT, Battelle Developmental Inventory; d’, d-prime; ADHD, attention deficit/hyperactivity disorder diagnostic.

* P<0.01.

** P<0.001.

Table 2
Paired attention variables compared between sitting and balancing conditions
Variable Mean±SD SEM 95% CI t No. P-value d’
OM.SC - OM.BC −10.35±16.21 1.76 −13.85 to −6.86 −5.89 84 <0.001 1.29
COM.SC - COM.BC 1.66±9.04 0.98 −0.29 to 3.61 1.69 84 0.095 0.37
RT.SC - RT.BC −36.25±90.92 9.86 −55.86 to −16.63 −3.68 84 <0.001 0.80
d’.SC - d’.BC −0.04±0.42 0.05 −0.13 to 0.05 −0.92 84 0.358 0.20
β.SC - β.BC −0.48±270.89 0.30 −1.06 to 0.10 −1.63 84 0.106 0.36
ADHD.SC - ADHD.BC −6.36±17.79 1.93 −10.19 to −2.52 −3.30 84 <0.001 0.72

SD, standard deviation; SEM, standard error of the mean; CI, confidence interval; d’, d-prime; OM, omissions; COM, commissions; RT, reaction time; ADHD, attention deficit/hyperactivity disorder diagnostic; SC, sitting condition; BC, balancing condition.

Table 3
Gender comparison of balance scores
Variable No. Mean±SD SE 95% CI F P-value
PBSTOT 0.001 0.994
 Boys 44 12.41±3.34 0.50 11.34–13.42
 Girls 41 12.41±3.37 0.52 11.35–13.48

BATTOT 1.245 0.268
 Boys 44 6.30±3.89 0.59 5.11–7.48
 Girls 41 7.34±4.74 0.74 5.85–8.83

SD, standard deviation; SE, standard error; CI, confidence interval; PBSTOT, Pediatric Balance Scale; BATTOT, Battelle Developmental Inventory.

Table 4
Gender comparison of Kiddie Continuous Performance Test scores in sitting and balancing conditions
Variable Sex No. Mean±SD SE 95% CI F P-value
OM.SC Boys 44 20.16±17.09 2.57 14.96–25.35 1.04 0.311
Girls 41 24.12±18.73 2.92 18.21–30.03

OM.BC Boys 44 29.7±22.59 3.41 22.84–36.57 1.21 0.274
Girls 41 35.34±24.65 3.85 27.56–43.12

COM.SC Boys 44 22.14±8.68 1.31 19.5–24.78 7.45 0.008
Girls 41 16.71±9.66 1.51 13.66–19.76

COM.BC Boys 44 19.11±9.2 1.39 16.32–21.91 1.71 0.194
Girls 41 16.51±9.11 1.42 13.64–19.39

RT.SC Boys 44 669.71±111.91 16.87 635.68–703.73 7.73 0.007
Girls 41 742.92±130.72 20.42 701.66–784.18

RT.BC Boys 44 706.92±110.77 16.67 673.25–740.6 8.83 0.004
Girls 41 778.12±109.96 17.17 743.41–812.83

d’.SC Boys 44 0.48±0.34 0.05 0.38–0.58 10.93 0.001
Girls 41 0.76±0.44 0.07 0.62–0.9

d’.BC Boys 44 0.62±0.34 0.06 0.5–0.74 0.62 0.434
Girls 41 0.70±0.49 0.08 0.54–0.85

β.SC Boys 44 1.81±1.34 0.20 1.41–2.22 2.86 0.095
Girls 41 2.49±2.26 0.35 1.78–3.2

β.BC Boys 44 2.60±1.95 0.294 2.00–3.19 0.01 0.920
Girls 41 2.64±2.29 0.358 1.92–3.37

ADHD.SC Boys 44 44.34±14.17 2.14 40.03–48.65 8.18 0.005
Girls 41 33.63±20.04 3.13 27.31–39.96

ADHD.BC Boys 44 45.65±17.66 2.66 40.28–51.01 <0.01 0.958
Girls 41 45.41±23.09 3.61 38.13–52.7

SD, standard deviation; SE, standard error; CI, confidence interval; OM, omissions; COM, commissions; RT, reaction time; ADHD, attention deficit/hyperactivity disorder diagnostic; SC, sitting condition; BC, balancing condition; d’, d-prime.

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