Academic Achievement Reflected the Quality of Life and
Neurocognitive Status in Malaysian Primary School Children
Gisely Vionalita
1
, I. Zalina
2
and W. A. Asim
2
1
Department of Public Health, Faculty of Health Sciences, Universitas Esa Unggul, Jakarta
2
BRAINetwork Centre for Neurocognitive Sciences, School of Health Sciences, Universiti Sains Malaysia,
Kubang Kerian Kelantan 16150
Keywords: CANTAB, primary school children, cognitive status, academic achievement.
Abstract: Academic achievement is not the only indicator of achievement in school. The neurocognitive profile, as
measured by the quality of life (QoL) and neurocognitive status are important markers that make academic
achievement more relevant about optimum brain utilization. The main objective of this study was to
determine the relationship between quality of life, neurocognitive status and academic achievement in a
sample of children in a Malaysian primary school. QoL was measured using three versions of the TNO-AZL
quality of life (TACQOL) questionnaire from the children’s (CV), parents’ (PV) and teachers’ (TV)
perspectives. Neurocognitive status was assessed in two domains, executive function and visual memory
using Cambridge Neuropsychology Tests Automated Battery (CANTAB
®
). A convenience sampling was
undertaken for all 95 Standard One Zainab 2 Primary School children (7 Years Old), 95 parents and 4
teachers. Regarding executive function, 42.1% of children experienced difficulties in an extra dimensional
shift which measures attention flexibility in accepting a new rule. However, they performed well in
theintraextra dimensional shift, indicating that most children responded positively to experiential learning.
For visual memory, 49.5% of children experienced some difficulties regarding their short term visual
memory. The relationship between QoL, neurocognitive status and academic achievement of the children
showed that only ‘cognitive complaint’ and ‘negative mood’ had a significant linear positive relationship
with academic achievement. Thus, this study has shown that academic achievement does not necessarily
reflect the neurocognitive status of children implying that some neurocognitive problems remain undetected.
A more meaningful assessment of academic achievement, in primary schools, should include an assessment
of both QoL and neurocognitive profile.
1 INTRODUCTION
Current research indicates that contrary to previous
concepts which postulate that learning occurs at
specific periods of the developing brain, there is
evidence that both the developing and the mature
brain are structurally altered when learning occurs.
These structural changes are believed to encode the
learning process in the brain. Studies have found that
direct contact with a stimulating physical
environment and an interactive social group can alter
the structure of nerve cells and of the tissues that
support them (Breslow, 1999). The nerve cells
develop a greater number of synapses through which
they communicate with each other,and the structure
of the nerve cells themselves is correspondingly
altered.
Quality of life (QoL) is a multidimensional
construct referring to the subjective perception of
physical, mental, social, psychological and
functional aspects of well-being and health (Cella
and Tulsky, 1990; Felce and Perry, 1995; Hofstede,
1984). From an epidemiological point of view,
information on the quality of life is important to
define health problems and to evaluate the well-
being and functioning of populations (Bullinger et
al., 2008). Indeed, QoL conceptualised as the
individual’s self-evaluation of their health status is
an important criterion in evaluating health and health
care. Until now, few systematic attempts have been
made to develop instruments to assess the QoL of
children using such a conceptualisation (Vogels et
Vionalita, G., Zalina, I. and Asim, W.
Academic Achievement Reflected the Quality of Life and Neurocognitive Status in Malaysian Primary School Children.
DOI: 10.5220/0009950126632669
In Proceedings of the 1st International Conference on Recent Innovations (ICRI 2018), pages 2663-2669
ISBN: 978-989-758-458-9
Copyright
c
2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
2663
al., 2000). In this study the QoL is one of the
variables that will be used in the self-evaluationof
wellness and the tool chosen is the Netherlands
Organisation for Applied Scientific Research
Academic Medical Centre (TNO-AZL) child quality
of life (TACQOL) (Vogels et al., 1998; Kamphuis et
al., 1997; Kolsteren et al., 2001; Vogels et al., 1999;
Bernard et al., 2009) questionnaire. In this case, the
QoL, as assessed by the TACQOL, is defined as
children's health status, weighted by the emotional
response of their health status problems from
theirperspectives.
Indeed, children are the best source of
information concerning their feelings and
evaluations even though they may be lacking in their
vocabulary and reading skills. The TACQOL
considers this and has been designed with simple
language and can be completed in a short period.
TACQOL is a multidimensional instrument, with 7
subscales. The subscales covered by the TACQOL
are based on a review of the literature, discussions
with experts (child psychologists, paediatricians)
and statistical testing (Vogels et al., 2000). The
TACQOL was constructed to enable a systematic,
valid and reliable description of the quality of life of
children aged 6 till 15 by the children themselves or
their parents (Arnould et al., 2004).
In this study, the neurocognitive profiling and
the assessment of the neurocognitive status of
primary school children will focus on the executive
functions of the prefrontal cortex in relation to the
limbic system and how they impact on the academic
achievement and QoL of these children. The
neurocognitive evaluation of school children was
carried out using the Cambridge Neuropsychological
Tests Automated Battery (CANTAB
®
) (Luciana,
2003; Cognition, 2007; Sharma, 2013; Robbins et
al., 1994; Sahakian and Owen, 1992; De Luca et al.,
2003).These tests are comparable across cultures as
they have the advantage of being language-
independent and culture-free.
In this study, the CANTAB
®
was chosen for the
assessment of neurocognitive status as it allows for a
complete assessment of the neurocognitive profile
through an extensively validated neuropsychological
battery of tests. It is highly portable and uses a touch
screen computer system which can be easily applied
to all respondents. The CANTAB
®
consists of
several well-validated tests, each of which taps one
or more cognitive domains, and produces some
outcome variables. There are six domains which are
assessed in CANTAB
®
. In this study, two tests from
CANTAB
®
were used from two domains (executive
function and visual memory) which are closely
related to learning and memory. IED Intra-Extra
Dimensional Set Shift (IED) (Lukowski et al., 2010;
Lythe et al., 2005; Collinson et al., 2014) was used
to assess executive function of the children while
Paired Associates Learning (PAL) (de Rover et al.,
2011; O'Connell et al., 2004; Barnett et al., 2015)
was used to assess the visual memory of the
children.
IED is primarily sensitive to changes affecting
the frontostriatal areas of the brain. It is sensitive to
cognitive changes associated with visual
discrimination and attentional set formation
maintenance, shifting and flexibility of attention
(Heinzel et al., 2010).
The PAL (Paired Associates Learning) was
chosen from the CANTAB
®
as one of two tests that
were carried out in this study. PAL measures visual
memory,and it assesses episodic memory, new
learning and is sensitive to medial temporal lobe
functioning. Thus, in this study, PAL allowed for
the assessment of the learning of items (as syllables,
digits or words) in pairs so that one member of the
pair evokes recall of the other.
In the context of this study, academic
achievement is defined as the outcome of education
in the form of knowledge, skills and attitude, which
a student has achieved through attaining specific
educational goals. Examinations or continuous
assessment commonly measure academic
achievementbut there is no general agreement on
how it is best tested or which aspects are most
important. It is one of the indicators that can
describe the school-based performance of children.
2 RESEARCH METHOD
This cross-sectional study involved the observation
of all members of a population, at one specific point
in time. In this case, the study involved all Standard
One children (7 Years Old) of Zainab 2 Primary
School, Kota Bharu, Kelantan and included their
parents as well as teachers.
2.1 Quality of Life
Quality of life was assessed from primary data
obtained from a translated and validated TACQOL
questionnaire with three versions. A parent and
teacher version of the TACQOL questionnaire was
constructed for parents and teachers to assess the
quality of life of the children from their perspectives.
The TACQOL - Child Version (TACQOL-CV) was
constructed for children to assess themselves. The
ICRI 2018 - International Conference Recent Innovation
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TACQOL – Parent/Teacher Version (TACQOL-
P/TV) specifically asked parents and teachers to
evaluate and assess the children’s feelings about
their physical, emotional and cognitive status. The
major difference between the versions (child, parent
and teacher) was regarding the perspective of the
questions asked. The parent and teacher
questionnaires used the following format: “has your
child had…. or did your child have…?”, while the
child questionnaire used the format: “have you had
…. or did you have…?”.
The English version of the TACQOL was
forward translated into Bahasa Malaysia and
subsequently back-translated into English. This
questionnaire had 56 items, with a Likert scale type
of assessment (never, occasionally, only within the
past weeks, often and always). The TACQOL
questionnaire covered seven subscales: physical
complaints and motor functioning (physical),
autonomous functioning (daily living), social
functioning (social), cognitive functioning and
positive moods and negative moods (Verrips et al.,
1999). All respondents were interviewed and
observed within the school setting using the
translated and validated questionnaire. Informed
consent was obtained from all respondents of the
study, following which the questionnaire was
completed by 95 Standard One children of Zainab 2
Primary School, Kota Bharu Kelantan, 95 parents of
the same children and 4 teachers who taught these
Standard One children.
2.2 Neurocognitive Status
Neurocognitive function was analysed from primary
data obtained from two tests: IED (Intra Extra
Dimensional Set Shift) and PAL (Paired Associates
Learning) from within the CANTAB
®
battery tests.
These two tests were sequentially administered to
the respondents by trained data collectors. The tests
were administered to 95 children in a conducive and
quiet place with minimal distractions. These tests
were completed within 20 minutes and were simple
to understand. The same instructor for both tests
supervised all the children.
The IED screened for executive function in nine
stages. Stage 1 started with two simple, colour-filled
shapes and required children to learn and touch the
correct stimuli to show simple discrimination
learning. In Stage 2, the contingencies were reversed
to show reversal learning. In Stage 3, the second
dimension was introduced, with shapes and lines
together as a distraction. The contingencies were not
changed in Stage 4 but included overlapping and
simple discrimination. Reversal learning occurs
again in Stage 5. New compound stimuli were
presented in Stage 6. Subjects were required to be
attentive to the previously relevant dimension of
shapes and learn which of the two exemplars were
correct. Stage 7 completed an interdimensional shift.
In Stage 8, children were required to shift attention
to the previously irrelevant dimension and learn
which of the two exemplars in this dimension were
now correct. Thisgave a good indication of
attentional flexibility. In Stage 9, the contingencies
were again reversed.
PAL screened the visual memory ability in 5
separate stages. The children were required to
remember the shapes displayed on the screen. The
test started with 1 shape and then progressed to 2
shapes, 3 shapes, 6 shapes and 8 shapes. For each
stage, boxes were displayed on the screen. All were
opened in a randomized order. Two or more of them
contained a pattern.
The patterns in the boxes were then displayed in
the middle of the screen, one at a time and the
subject was asked to touch the box where the pattern
was originally located.Each stage had up to ten
trials. If the subject made an error, the patterns were
presented to remind the subject of their locations.
When the subjects correctly identified allthe
locations, they proceeded to the next stage. If the
subject was unable to complete a stage correctly, the
test was terminated.
The CANTAB
®
battery of tests wascomputerized
and provided automatic results that were presented
based on the requested outcome measurement. From
the summary template definition, the researcher was
able to select the outcome measurement that was
required. The results were automatically calculated
within the datasheet format for further statistical
analysis. In this study, the outcome measurement for
executive function and visual memory were a
measure of the total errors.
2.3 Academic Achievement
Academic achievement was analyzed from
secondary data obtained from the school database of
the Zainab 2 Primary School as shown in Figure 1.
The data was obtained from the average of mid-year
examination of 2011. The data provided information
on six subjects taught within the Standard One
school curriculum.
Academic Achievement Reflected the Quality of Life and Neurocognitive Status in Malaysian Primary School Children
2665
Figure 1: Research Framework
3 RESULTS
The average scores of the subscales in quality of life
assessments from children’s, parents’ and teachers
perspectives together with a total error of both the
IED and PAL tests were assessedregarding their
relationship to the average academic achievement of
the Standard One children from Zainab 2 Primary
School. Simple linear regressions followed by
multiple linear regressionwere appliedtoanalyzing
the relationship between QoL, neurocognitive status
and academic achievement. As a requirement for
applying the multiple linear regression, simple linear
regression was applied first to check the significance
of the factors. From the simple linear regression for
univariable analysis, it was found that all the
variables were significant factorsfor academic
achievement (p<0.25) (Table 1). Following this, all
the variables were subjected to multiple linear
regression for variable selection. It was seen that
only ‘cognitive’ and ‘negative mood’ had a
significant linear relationship with academic
achievement (p<0.05) (Table2).
Multiple linear regression analysis showed a
significant linear positive relationship between both
cognitive and negative domains of the quality of life
assessment with the academic achievement. One
single improvement in cognitive problem increased
the academic achievement by a score of 0.78 and for
one single improvement in negative problem the
academic achievement improved by 1.27. However,
there was no significant linear relationship between
neurocognitive status and academic achievement,
indicating that the academic achievement does not
fully represent the neurocognitive status of the
children.
Table 1: Simple linear regression for variables
Variable b
a
(95% CI) P-
Value
Physical
Motor
Autonomy
Cognitive
Social
Positive Mood
Negative Mood
Total Error IED
Total Error PAL
0.78 (-0.22, 1.79)
0.68 (-0.40, 1.75)
1.01 (0.08, 1.94)
1.43 (0.85, 2.02)
0.99 (-0.15, 2.13)
0.77 (-0.15, 1.68)
1.91 (1.18, 2.64)
-0.16 (-0.36, 0.26)
-0.26 (-0.53, 0.02)
0.126
0.215
0.003
0.000
0.087
0.098
0.000
0.090
0.052
a
Crude regression coefficient
P-value significant at <0.25
Table 2: Relationship between variables with academic
achievement in Standard One children of Zainab 2
Primary School
Variable b
a
(95% CI) t-stat P-value
Cognitive
Negative
0.78 (0.03,
1.53)
1.27 (0.33,
2.22)
2.08
2.68
0.041
0.009
a
adjusted regression coefficient
b
P-value significant at <0.05
Forward multiple linear regression applied. Model
assumptions are fulfilled.There were no interactions
amongst independent variables. No multicollinearity
detected.
Coefficient of determination (R2) = 0.254
Final model equation
Academic achievement= 31.26 + 1.27 * Negative +
0.78 * Cognitive
Pare
nts’
pers
pect
Tea
cher
s’
pers
Chil
dren
’s
pers
Relationship between quality of life,
neurocognitive status and academic
achievement of Standard One
Malaysian primary school children
Assessmen
t of
academic
achieveme
nt
Assessment of
neurocognitive
status in
executive
function and
visual memory
StandardOne
Zainab 2
Primar
y
Comparison
of quality of
life using
translated
and
validated
Develo
ped
training
session
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2666
4 DISCUSSION
The objective of this study was to evaluate the
relationship between quality of life, neurocognitive
status and academic achievement. As mentioned
earlier, the average scores of the subscales in quality
of life assessments from children’s, parents’ and
teachers’ perspectives together with total error of
both the CANTAB
®
IED and CANTAB
®
PAL tests
were assessed in terms of their relationship to the
academic achievement of the Standard One Zainab 2
Primary School children.
From the statistical analysis, involving seven
subscales in QoL and two domains in
neurocognitive status, it was found that a significant
relationship existed between two subscales of the
QOL. Five other subscales were not significantly
related to academic achievement. Those five
subscales are physical, motor, autonomy, social and
positive moods. These findings correlate well with
De Oliveira Filho and Vieira (2007), where the
researchers were also unable to detect any
significant association between academic
performance and residents’ perceptions about their
subjective quality of life. These findings might
suggest that any knowledge gained, occurred
independently and was unrelated to how people
perceived their quality of life.
However, in contrast to the study done by De
Oliveira Filho and Vieira (2007), this study explored
the neurocognitive status of children, and it was
found that two subscales had a significant
relationship with academic achievement. These two
subscales were from the perspective of cognition and
negative moods. Both of these subscales are closely
related to perceptions of negativity and can thus be
linked to perceptions of the ability in catching up
with school-work and the frequency negative
feelings in children, both of which have been shown
in this study to be the main factors affecting the QoL
and at the same time is able to influence the
academic achievement.
Regarding the relationship between
neurocognitive status and academic achievement as
measured by the CANTAB
®
battery of tests, no
significant relationship was found between executive
function and the academic achievement of the
children as measured by their examination results.
Similarly, there was no statistically significant
relationship between visual memory and the
academic achievement in these children.
Executive function is one of the important
factors in learning, and with IED it is possible to
detect the ability of the children in
simplediscrimination, reversal learning and also
experiential learning. Those abilities are very useful
to improve the learning abilities of children.
Similarly, PAL is useful in the assessment of visual
memory,and any learning difficulties with visual
memory in young children will often lead to a
significant problem in both long-term and short-term
memory and difficulty in new learning. It also
affects a person’s ability to relearn appropriate
behaviour (Cusimano, 2001). However, there is no
association between both of the executive function
and visual memory with the academic achievement.
The main purpose of the current educational system
is to measurethe ability and success of students.
These measurements still do not reflect the
neurocognitive function of those children and some
problems with neurocognition remain undetected. In
Malaysia itself, the numbers of children with
learning disabilities have almost doubled over the
last three years period for primary school (473 to
656). This is an estimated increase of about 57% in
the number of programs for special education for
primary school level (Taib, 2008). In order to make
academic achievement more efficient, the education
system needs a neurocognitive profiling system that
includes all the information about the quality of life
and neurocognitive wellness from the
neurocognitive status of the children.
5 CONCLUSION
In conclusion, The fact that cognitive status of the
children has no correlation with the academic
achievement indicates that the school examination
for the Standard one children cannot represent the
cognitive ability regarding executive function and
the visual memory. It can be explained that the
academic achievement from the school still does not
reflect the neurocognitive status of those children
and some problems with neurocognition remain
undetected. This information about the cognitive
status of children is very important to improve the
education system. Thus, the neurocognitive status
can act as important indicators of a childs’ academic
achievement. This study will be expanded through
the perspective of the children about other domain in
cognitive status and its relation with their academic
achievement.
Academic Achievement Reflected the Quality of Life and Neurocognitive Status in Malaysian Primary School Children
2667
ACKNOWLEDGEMENTS
This study was supported by BRAINetwork Centre
for Neurocognitive Science School of Health
Universiti Sains Malaysia. The authors would like to
express their deepest gratitude to children and
teachers who participated in this study and the staff
at primary schools in SK Zainab 2 Kota Bharu,
Kelantan.
REFERENCES
Arnould, C., Penta, M., Renders, A., and Thonnard, J. L.
(2004). ABILHAND-Kids A measure of manual
ability in children with cerebral palsy. Neurology,
63(6): 1045-1052.
Barnett, J. H., Blackwell, A. D., Sahakian, B. J., &
Robbins, T. W. (2015). The paired associates learning
(PAL) test: 30 years of CANTAB translational
neuroscience from laboratory to bedside in dementia
research. In Translational Neuropsychopharmacology,
449-474. Springer, Cham.
Bernard, B. A., Stebbins, G. T., Siegel, S., Schultz, T. M.,
Hays, C., Morrissey, M. J., ... and Goetz, C. G. (2009).
Determinants of quality of life in children with Gilles
de la Tourette syndrome. Movement disorders, 24(7):
1070-1073.
Breslow, L. (1999). New research points to the importance
of using active learning in the classroom. TLL Library,
13 (1).
Bullinger, M., Brütt, A. L., Erhart, M., Ravens-Sieberer,
U., and BELLA Study Group. (2008). Psychometric
properties of the KINDL-R questionnaire: results of
the BELLA study. European child & adolescent
psychiatry, 17(1): 125-132.
Cella, D. F., and Tulsky, D. S. (1990). Measuring quality
of life today: methodological aspects. Oncology
(Williston Park, NY), 4(5): 29-38.
Cognition, C. (2007). Cambridge Neuropsychological
Tests Automated Battery (CANTAB), Eclipse Version.
Cambridge, United Kingdom: Cambridge Cognition.
Collinson, S. L., Tong, S. J., Loh, S. S., Chionh, S. B., and
Merchant, R. A. (2014). Midlife metabolic syndrome
and neurocognitive function in a mixed Asian sample.
International psychogeriatrics, 26(8): 1305-1316.
Cusimano, A. (2001). Learning Disabilities--there is a
Cure: A Guide for Parents, Educators, and
Physicians. Learning Disabilities.
De Luca, C. R., Wood, S. J., Anderson, V., Buchanan, J.
A., Proffitt, T. M., Mahony, K., and Pantelis, C.
(2003). Normative data from the CANTAB. I:
development of executive function over the lifespan.
Journal of clinical and experimental neuropsychology,
25(2): 242-254.
De Oliveira Filho, G. R., and Vieira, J. E. (2007). The
relationship of learning environment, quality of life,
and study strategies measures to anesthesiology
resident academic performance. Anesthesia &
Analgesia, 104(6): 1467-1472.
De Rover, M., Pironti, V. A., McCabe, J. A., Acosta-
Cabronero, J., Arana, F. S., Morein-Zamir, S., ... and
Sahakian, B. J. (2011). Hippocampal dysfunction in
patients with mild cognitive impairment: a functional
neuroimaging study of a visuospatial paired associates
learning task. Neuropsychologia, 49(7): 2060-2070.
Felce, D., and Perry, J. (1995). Quality of life: Its
definition and measurement. Research in
developmental disabilities, 16(1): 51-74.
Heinzel, A., Northoff, G., Boeker, H., Boesiger, P., and
Grimm, S. (2010). Emotional processing and
executive functions in major depressive disorder:
dorsal prefrontal activity correlates with performance
in the intra–extra dimensional set shift. Acta
neuropsychiatrica, 22(6): 269-279.
Hofstede, G. (1984). The cultural relativity of the quality
of life concept. Academy of Management review, 9(3):
389-398.
Kamphuis, R., Theunissen, N., & Witb, J. (1997). Short
communication health-related quality of life measure
for children-the TACQOL. J Appl Therapeut, 1: 357-
60.
Kolsteren, M. M., Koopman, H. M., Schalekamp, G., &
Mearin, M. L. (2001). Health-related quality of life in
children with celiac disease. The Journal of pediatrics,
138(4): 593-595.
Luciana, M. (2003). Practitioner review: computerized
assessment of neuropsychological function in children:
clinical and research applications of the Cambridge
Neuropsychological Testing Automated Battery
(CANTAB). Journal of Child Psychology and
Psychiatry, 44(5): 649-663.
Lukowski, A. F., Koss, M., Burden, M. J., Jonides, J.,
Nelson, C. A., Kaciroti, N., ... and Lozoff, B. (2010).
Iron deficiency in infancy and neurocognitive
functioning at 19 years: evidence of long-term deficits
in executive function and recognition memory.
Nutritional neuroscience, 13(2): 54-70.
Lythe, K. E., Anderson, I. M., Deakin, J. F. W., Elliott, R.,
and Strickland, P. L. (2005). Lack of behavioural
effects after acute tyrosine depletion in healthy
volunteers. Journal of Psychopharmacology, 19(1): 5-
11.
O'Connell, H., Coen, R., Kidd, N., Warsi, M., Chin, A. V.,
and Lawlor, B. A. (2004). Early detection of
Alzheimer's disease (AD) using the CANTAB paired
Associates Learning Test. International Journal of
Geriatric Psychiatry, 19(12): 1207-1208.
Robbins, T. W., James, M., Owen, A. M., Sahakian, B. J.,
McInnes, L., and Rabbitt, P. (1994). Cambridge
Neuropsychological Test Automated Battery
(CANTAB): a factor analytic study of a large sample
of normal elderly volunteers. Dementia and Geriatric
Cognitive Disorders, 5(5): 266-281.
Sahakian, B. J., and Owen, A. M. (1992). Computerized
assessment in neuropsychiatry using CANTAB:
discussion paper. Journal of the Royal Society of
Medicine, 85(7): 399.
ICRI 2018 - International Conference Recent Innovation
2668
Sharma, A. (2013). Cambridge Neuropsychological Test
Automated Battery. In Encyclopedia of Autism
Spectrum Disorders, pp. 498-515. Springer, New
York, NY.
Taib, M. N. M. (2008). School management concerning
collaboration with social resources in community: Its’
approaches and problems. Primary and Middle Years
Educator, 6(2): 9-12.
Verrips, E. G. H., Vogels, T. G. C., Koopman, H. M.,
Theunissen, N. C. M., Kamphuis, R. O. B. P., Fekkes,
M., Wit, J. A. N. M. and Vanhorick, S. P. V. (1999).
Measuring health-related quality of life in a child
population. The European Journal of Public Health,
9(3):188-193.
Vogels, A. G. C., Bruill, J., Stuifbergen, M., Koopman, H.
M., and Verrips, G. H. W. (1999). Validity and
reliability of a generic health-related quality of life
instrument for adolescents, the TACQOL. Quality of
Life Research, 630-630.
Vogels, T., Verrips, G. H. W., Verloove-Vanhorick, S. P.,
Fekkes, M., Kamphuis, R. P., Koopman, H. M., ... and
Wit, J. M. (1998). Measuring health-related quality of
life in children: the development of the TACQOL
parent form. Quality of life research, 7(5): 457-465.
Vogels, T., Verrips, G. H. W., Koopman, H. M.,
Theunissen, N. C. M., Fekkes, M., & Kamphuis, R. P.
(2000). TACQOL manual: parent form and child form.
Leiden: Leiden Center for Child Health and Pediatrics
LUMC-TNO.
Academic Achievement Reflected the Quality of Life and Neurocognitive Status in Malaysian Primary School Children
2669