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Profile of Behavior and IQ in Anemic Children

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Study the profile of behavior and intelligence of children with anemia and their possible association to the hematological parameters. Fifty-eight children (42 anemic; 16 controls), matched by age, sex, and culture with the patients, were subjected to both behavioral and IQ testing using Revised Behavior Problem Checklist (RBPCL) and Wechsler intelligence scale for children-revised and hematological laboratory evaluation After controlling for age, sex and culture, the mean IQ was lower in the iron deficiency group than both thalassemic and control groups (P<.000). The mean scores of conduct disorder, socialized aggression, and anxiety withdrawal of RBPCL were higher in thalassemic group while the mean scores of motor excess and attention problems score were higher in the iron deficiency group. Regression analysis showed that hemoglobin concentration in gram/dl was the predictor of IQ in both anemic group and for attention problems in iron deficiency group while the mean corpuscular volume was the predictor of motor excess score in iron deficiency group. Other associations were not statistically significant. Behavior problems and low intelligence were significantly high among anemic children. Their association with the hematological parameters varies according to the type of behavior and the type of anemia. These results cannot exclude the role of other factors in shaping the profile of behavior and IQ.
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Profile of Behavior and IQ
in Anemic Children
Ahmed Mubarak, MD, Wael Fadel, MD, Shibl Said, MD,
and Mohamed Abu Hammar, MD
Original Research
Dr. Mubarak and Dr. Fadel are professors of neuropsychiatry in the Department of Neuropsychiatry, and Dr. Said is professor of pediatrics in the Department
of Pediatrics, all at the College of Medicine at Tanta University in Tanta, Egypt. Dr. Hammar is a specialist (clinical psychiatrist) in the Department of General
Psychiatry at Al Ain Hospital in Al Ain, United Arab Emirates.
Faculty Disclosures: The authors report no affiliation with or financial interest in any organization that might pose a conflict of interest.
Submitted for publication: October 8, 2009; Accepted for publication: April 5, 2010;
Please direct all correspondence to:
Ahmed Mubarak, MD, Professor of Neuropsychiatry, College of Medicine, Tanta University, Tanta, Egypt; E-mail:
ahmed_mubarak@hotmail.com
ABSTRACT
Objectives: Study the profile of behavior
and intelligence of children with anemia and
their possible association to the hematological
parameters.
Methods: Fifty-eight children (42 anemic; 16
controls), matched by age, sex, and culture with
the patients, were subjected to both behavioral
and IQ testing using Revised Behavior Problem
Checklist (RBPCL) and Wechsler intelligence
scale for children-revised and hematological lab-
oratory evaluation
Results: After controlling for age, sex and cul-
ture, the mean IQ was lower in the iron deficiency
group than both thalassemic and control groups
(P<.000). The mean scores of conduct disorder,
socialized aggression, and anxiety withdrawal of
RBPCL were higher in thalassemic group while
the mean scores of motor excess and attention
problems score were higher in the iron deficiency
group. Regression analysis showed that hemo-
FOCUS POINTS
The behavioral problems of anemic children
are significantly higher compared with children
of the same age, sex and culture.
The main problems of iron deficiency anemia
are, inattention, hyperactivity and low IQ.
The main problems of thalassemic children
are in conduct, socialized aggression and
anxiety withdrawal.
The hemoglobin concentration show significant
predictive value for inattention and low IQ in
iron deficiency anemia.
The hematological parameters did not show
significant predictive value in behavioral prob-
lems of thalassemic patients.
globin concentration in gram/dl was the predic-
tor of IQ in both anemic group and for attention
problems in iron deficiency group while the mean
corpuscular volume was the predictor of motor
excess score in iron deficiency group. Other asso-
ciations were not statistically significant.
Conclusion: Behavior problems and low
intelligence were significantly high among
anemic children. Their association with the
CNS Spectr 15:12 December 2010
doi: 10.1017/S1092852912000089
631
First published online: 201 1, 0.December
hematological parameters varies according to the
type of behavior and the type of anemia. These
results cannot exclude the role of other factors
in shaping the profile of behavior and IQ.
INTRODUCTION
Anemia is considered a worldwide problem,
affecting all age groups and socioeconomic levels
of society. Approximately 15% to 20% of the popu-
lation of the United States <18 years of age is iron
deficient.1 Adolescents are susceptible to iron defi-
ciency because of high requirements due to the
growth spurt, dietary deficiencies, and menstrual
blood loss. In several affluent countries, ~40%
of adolescent girls and 15% of boys have serum
ferritin levels <16% reflecting low bone marrow
iron stores.2 In the National Nutritional Survey
conducted for the general population in Egypt in
1978 and 1980, the prevalence of anemia in the
preschool age was 38% and 39%, respectively.3 In
spite of a large amount of information pointing to
a severe retardation of physical growth in patients
with thalassemia, very little has been said concern-
ing mental development.4 Since physical, mental,
emotional, and social growth and development
proceed simultaneously, physicians should realize
that a threat to any of these areas could indicate a
threat to others especially in the child with chronic
disease or disability.5
Abnormalities in emotional response, character
and behavior, such as anxiety, sense of inferiority,
and oversensitivity, were reported in thalasse-
mic patients. These manifestations are suggested
to be due to the chronicity of the disease and its
restrictive nature which interferes with successful
achievement of those children.6 Underachievement
was reported in 10% of school children due to fre-
quent and multiple absences from school.4 There is
now reason to believe that the degree of visibility
of the lesion forces the child to recognize himself
as “disabled“ compared to non-visible disorders
such as diabetes, this contribute to a great degree
of psychological maladjustment.7
Our objectives is to study the profile of behav-
ior and IQ in one group of children suffering from
iron deficiency anemia and another group suffer-
ing from β-thalassemia major and comparing both
groups with a group of healthy children matched
to both by age, gender, and cultural background
and to test for any possible relationship of the
profile of behavior and IQ to the hematological
parameters and consequently to anemia.
METHODS
The sample of this study was collected from
children between 6–12 years of age attended an
outpatient clinic of the Hematology Unit at the
Tanta University Hospital in Egypt (Table 1). The
objectives and procedures of the study were
explained to the children and relatives and written
consent was taken giving the child or the relative
the right to stop during any step of the study. The
sample was classified into three groups. Group
A had 22 children with iron deficiency anemia
according to the diagnostic criteria of iron defi-
Original Research
TABLE 1.
Sociodemographic Backgrounds
Iron Deficiency
N=22
Thalassemia
N=20
Control
N=16 Statistics
Age in years (Mean±SD) 8.00±1.60 7.75±1.51 8.06±0.92 df=2 F=0.26 P=.77
Gender (number) Male 11 12 10 df=2 χ2=0.71 P=.70
Female 11 8 6
Culture Urban 11 9 8 df=2 χ2=0.13 P=.94
Rural 11 11 8
Socioeconomic
condition
Poor 2 2 2 df=4 χ2=0.14 P=.99
Average 11 10 8
Above
Average
9 8 6
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 12. 2010.
CNS Spectr 15:12 December 2010
632
ciency anemia in children.8 Group B had 20 chil-
dren with β-thalassemia major.9 Group C was the
control group of 16 healthy children of matched
age, gender, and cultural background to both thal-
assemic and iron deficient anemic groups (they
were collected from the relatives and companions
of the sick children).
All children (patients and control) were sub-
jected to the Revised Behavior Problem Checklist
(RBPCL)10 which is composed of six scales which
measures the following patterns of behavior. Scale
I: conduct disorder (22 items). Scale II: socialized
aggression (16 items). Scale III: attention problem-
immaturity (16 items). Scale IV: anxiety-withdrawal
(11 items). Scale V: psychotic behavior (6 items).
Scale VI: motor excess (5 items). The Wechsler intel-
ligence scale for children-revised11 assessed the
IQ of all the studied groups. Complete blood pic-
ture was tested using automatic blood cell counter
K 1000, and hemoglobin electrophoresis. Serum
iron was tested using iron without deproteinization
test.12 Total iron binding capacity was tested using
test combination iron-binding capacity (Table 2).13
Statistical Analysis
The SPSS software package version 13 under
Windows14 was used for computer data analysis
and graphs, cross-tabulation, and one-way analy-
sis of variance (ANOVA) was used to compare mul-
tiple means using the post-hoc LSD component. To
test the relationship between the studied biochem-
ical parameters and both RBPCL and IQ results we
Original Research
TABLE 2.
Results of Hematological Evaluation
95% CI for ANOVA
Case Type NO Mean SD Min Max Lo Up Df* F P
Hemoglobin con-
centration (gm/dl)
Iron Deficiency 22 7.41 0.85 6.00 9.00 7.03 7.78 2; 55 213.59 0.000
Thalassemia 20 6.50 1.17 4.30 8.30 5.95 7.04
Control 16 13.48 1.24 12.30 17.30 12.81 14.14
Mean corpuscu-
lar hemoglobin
concentration (%)
Iron Deficiency 22 20.05 2.32 17.00 24.00 19.02 21.07 2; 55 86.14 0.000
Thalassemia 20 24.10 2.27 21.00 28.00 23.04 25.16
Control 16 28.67 0.81 27.50 30.00 28.24 29.10
Mean corpuscu-
lar volume (fl)
Iron Deficiency 22 63.64 2.57 60.00 68.00 62.50 64.78 2; 55 453.95 0.000
Thalassemia 20 68.10 1.86 66.00 72.00 67.23 68.97
Control 16 86.84 2.82 83.70 95.00 85.34 88.35
Serum ferretin
(ng/ml)
Iron Deficiency 22 8.27 1.78 6.00 12.00 7.48 9.06 2; 55 430.86 0.000
Thalassemia 20 777.20 152.62 570.00 1000.00 705.77 848.63
Control 16 103.88 21.35 71.00 138.00 92.50 115.25
Serum iron (ug/dl) Iron Deficiency 22 37.32 10.52 25.00 57.00 32.66 41.98 2; 55 450.71 0.000
Thalassemia 20 214.70 30.34 173.00 274.00 200.50 228.90
Control 16 89.50 8.33 70.00 101.00 85.06 93.94
Total iron binding
capacity (ug/dl)
Iron Deficiency 22 492.32 88.15 313.00 655.00 453.24 531.40 2; 55 93.81 0.000
Thalassemia 20 239.30 25.69 199.00 281.00 227.28 251.32
Control 16 316.13 45.79 251.00 402.00 291.73 340.52
Iron store Iron Deficiency 22 7.50 2.02 6.61 8.39 4.10 10.00 2; 55 835.03 0.000
Thalassemia 20 89.14 9.47 84.70 93.57 64.00 99.20
Control 16 27.04 6.59 23.52 30.55 13.70 37.90
*df (between groups; within groups)
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 12. 2010.
CNS Spectr 15:12 December 2010
633
used regression analysis with each component of
the RBPCL and IQ as dependent variables and all
hematological parameters together as indepen-
dent variables after controlling for age and sex.
RESULTS
Our results showed that the mean IQ of iron
deficiency group was lower than both thalasse-
mic and control groups (P<.001). No significant
difference was found between thalassemic group
and control group. In RBPCL mean scores; with
the exception of psychotic behavior; all the mean
test scores showed significant difference among
the three studied groups (Table 3). Post-hoc mul-
tiple comparison analysis (Table 4) showed that;
conduct disorder mean score was highest among
thalassemic children compared with those with
iron deficiency (P<.005) and control (P<.001), the
mean score of children with iron deficiency ane-
mia was still higher than the control (P<.0 01).
Socialized aggression mean score was higher
in children with thalassemia than both children
with iron deficiency anemia (P<.001) and control
cases (P<.01) but without significant difference
between children with iron deficiency anemia
and control cases (P>.05). Motor excess mean
score was higher in children with iron deficiency
anemia than thalassemia and control (P<.001),
thalassemic children mean score was lower than
control (P<.000). Attention problems mean score
was higher in both type of anemic children than
control (P<.001). However, the mean score of iron
deficiency anemia group was still higher than thal-
assemic (P<.001). Anxiety withdrawal mean score
was higher in thalassemic children than both iron
Original Research
TABLE 3.
The Results of RBPCL and IQ Tests Among the Three Studied Groups
95% CI for
RBPCL Scores Case Type N Mean SD SE Lo Up Df F Sig.
Conduct
disorder
Iron Deficiency 22 19.91 4.93 1.05 17.73 22.09 2 29.22 0.000
Thalassemia 20 25.90 7.97 1.78 22.17 29.63
Control 16 10.19 4.92 1.23 7.57 12.81
Socialized
aggression
Iron Deficiency 22 0.68 1.32 0.28 0.10 1.27 2 7.78 0.001
Thalassemia 20 2.75 2.47 0.55 1.60 3.91
Control 16 1.00 1.27 0.32 0.33 1.67
Attention
problems
Iron Deficiency 22 24.919 4.30 0.92 23.00 26.81 2 88.84 0.000
Thalassemia 20 17.15 5.79 1.29 14.44 19.86
Control 16 4.75 3.09 0.77 3.11 6.40
Anxiety
withdrawal
Iron Deficiency 22 5.89 3.75 0.80 4.16 7.48 2 51.15 0.000
Thalassemia 20 15.55 3.15 0.71 14.07 17.03
Control 16 5.50 3.67 0.92 3.55 7.46
Psychotic
behavior
Iron Deficiency 22 0.17 0.35 0.08 -0.02 0.29 2 2.00 0.145
Thalassemia 20 0.40 0.82 0.18 0.02 0.78
Control 16 0.06 0.25 0.06 -0.07 0.20
Motor
excess
Iron Deficiency 22 6.86 1.81 0.39 6.06 7.67 2 68.80 0.000
Thalassemia 20 0.35 0.67 0.15 0.07 0.66
Control 16 4.062 2.60 0.65 2.68 5.45
Intelligence
quotient
(WISC-R)
Iron Deficiency 22 78.23 4.85 1.04 76.08 80.38 2 18.81 0.000
Thalassemia 20 89.50 4.26 0.95 87.51 91.49
Control 16 95.44 15.24 3.81 87.32 103.56
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 12. 2010.
CNS Spectr 15:12 December 2010
634
deficiency group and control. On the other hand,
there was no significant difference between iron
deficiency group and control. Psychotic behavior
mean score was not significant among the three
groups children (P>.05).
In order to test if the hematological param-
eters have direct relationship to IQ and RBPCL
scores we carried out regression analyses with all
the seven hematological parameters (hemoglo-
bin concentration, mean corpuscular hemoglobin
concentration percentage, mean corpuscular vol-
ume, serum ferretin, total iron binding capacity,
serum iron, iron store) as independent variables
with IQ and each score of RBPCL as dependent
variable. Age, gender, and cultural background
were controlled in the model. This model tests
if any of these hematological parameters could
predict the changes in RBPCL scores. The result
of this analysis showed that in the iron deficiency
group hemoglobin concentration in gram/l was
the predictor of IQ (df=7, 14; F=11.94; P=.000,
β=0.61; t=2.19; P=.046) (Figure 1) and attention
problem score of the RBPCL (df=7, 14; F=10.55;
P=.000, β=−1.12; t=−3.84; P=.002) ie, negative cor-
relation (Figure 2). The mean corpuscular volume
was predictor of motor excess score (df=7,14;
F=3.56; P=.021 β=0.55; t=2.24 ; P=.042). No signifi-
cant association between the other RBPCL scores
and hematological parameters.
In the thalassemia group, hemoglobin concentra-
tion in gram/l was the predictor of IQ that was pre-
dicted by l (df=7, 13; F=9.617; P=.000 β=0.185; t=4.75;
P<.05). The blood parameters could not predict any
of the RBPCL sub items in thalassemia patients. The
control cases showed no correlation between these
factors and either IQ or RBPCL mean score.
Original Research
TABLE 4.
Post Hoc Multiple Comparisons Among the Three Studied Groups
RBPCL
Score (I) Case Type (J) Case Type Mean Difference (I-J) SE Sig. Lo Up
Conduct
disorder
Iron Deficiency Control 9.72 2.02 .000 5.67 13.77
Thalassemia Iron Deficiency 5.99 1.99 .003 2.19 9.80
Thalassemia Control 15.71 2.06 .000 11.58 19.84
Socialized
aggression
Thalassemia Iron Deficiency 2.07 0.55 .000 0.96 3.18
Thalassemia Control 1.75 0.60 .005 0.55 2.95
Control Iron Deficiency 0.328 0.59 .591 -0.86 1.50
Attention
problems
Iron Deficiency Thalassemia 7.76 1.42 .000 4.91 10.61
Iron Deficiency Control 20.16 1.51 .000 17.13 23.19
Thalassemia Control 12.40 1.55 .000 9.30 15.50
Anxiety
withdrawal
Iron Deficiency Control .318 1.16 .785 -2.01 2.64
Thalassemia Iron Deficiency 9.73 1.09 .000 7.55 11.92
Thalassemia Control 10.05 1.19 .000 7.68 12.42
Psychotic
behavior
Iron Deficiency Control 0.074 0.18 .682 -0.29 0.43
Thalassemia Iron Deficiency 0.26 0.17 .123 -0.07 0.60
Thalassemia Control 0.34 0.18 0.07 -0.03 0.70
Motor
mxcess
Iron deficiency Thalassemia 6.51 0.56 .000 5.40 7.63
Iron deficiency Control 2.80 0.59 .000 1.62 3.99
Control Thalassemia 3.71 0.60 .000 2.50 4.92
IQ Thalassemia Iron deficiency 11.27 2.74 .000 5.79 16.76
Control Iron deficiency 17.21 2.91 .000 11.37 23.05
Control Thalassemia 5.94 2.97 .051 -0.02 11.90
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 12. 2010.
CNS Spectr 15:12 December 2010
635
DISCUSSION
The results of RBPCL showed that anemic chil-
dren have more behavioral problems (except psy-
chotic behavior [P>.05]) than the control group.
The association between iron deficiency anemia
and cognitive function is reported in previous
studies.17
Our study showed that the mean IQ was lower
among iron deficiency children than both thalasse-
mic and control groups (P<.001). The IQ in thalas-
semic children was not significantly lower than the
control group (P=.051). This non-significant differ-
ence between the thalassemic and control groups
could be explained by the notion that the low
intelligence in thalassemic children is attributed
more to indirect effects related to social or envi-
ronmental disadvantages (eg, decreased learning
opportunities, increased physical limitations from
chronic illness).18,19 These factors do not usually
lead to severe mental retardation in the same way
that the biological factors do.20 The significant dif-
ference in IQ between the control and the iron
deficiency anemia children can be attributed to the
of biological effects of anemia as a cause of the
behavioral and cognitive impairment. This attri-
bution is well supported in the literature.21-25 An
interesting observation on the IQ of both patient
groups is the narrow standard deviation than the
control group, a possible explanation of this is
that no child could escape the effect of the illness
on IQ. This anecdotal explanation needs support
by future studies on a large samples.
In order to test the direct (biological) or indirect
(psychosocial) impact of the disease process on
the difference in behavior and IQ, we selected the
control sample to be matched for age, sex, cultural
background, and economic status. The data from a
meta-analysis on cognitive deficits of sickle cell
anemia26 indicate that studies using demographi-
cally matched peers as a control group showed
approximately a 2-point greater IQ discrepancy
than studies that used a sibling control group. The
difference has a little effect and did not reach sta-
tistical significance with a large number of cases
and controls. In their analysis; the authors found
no evidence that the choice of control groups
poses a meaningful bias in outcomes for general
cognitive functioning and either siblings or nonsi-
bling peers are appropriate choices. We acknowl-
edge the limitation of the small number of our
control sample compared with the patients groups
but the non significant difference was based on
nonparametric statistical analysis that considers
such types of discrepancies in sampling.
Studying the role of changes of the studied
hematological parameters on the behavior and
IQ in the two types of anemia we found different
associations.
In thalassemia cases, regression analysis
showed non-significant predictive value of the
studied hematological parameter for the mean
score of RBPC which supports the likelihood that
the behavioral changes are associated more to
social and psychological problems than the
Original Research
FIGURE 1.
Profile of behavior and IQ in anemic
children
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 12. 2010.
120
110
100
90
80
70
Intelligence Quotient
Iron Deficiency
Thalassemia
Control
Hemoglobin Concentration in Gram/dl
4 6 8 10 12 14 16 18
*
**
*
*
*
**
*
*
*
*
*
*
*
FIGURE 2.
Relationship between attention prob-
lems and hemoglobin concentration
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 12. 2010.
40
30
20
10
0
Intelligence Quotient
Iron Deficiency
Thalassemia
Control
Hemoglobin Concentration in Gram/dl
4 6 8 10 12 14 16 18
*
*
**
*
*
*
**
*****
*
*
CNS Spectr 15:12 December 2010
636
hematological changes of the disease. The chronic
disabling illness causes more stress due to both
actual and anticipated disability caused by more
hospitalization, more time in blood transfusion
and multiple school absences with consequent
academic and social backwardedness.27,28 Another
source of stress on the child and family is the
cost of treatment and loss of working days of the
caregivers (parents) that creates a more stressful
family environment.29-32 Our findings do not rule
out the effect of other disease related biological
changes such as focal cerebral infarcts that could
happen in some cases.33-35
Steen and colleagues3 6 found an association
between focal brain injury and cognitive impair-
ment, suggesting that diffuse brain injury may
also contribute to impairment. However their
result only showed a significant relationship
P<.02) between abnormal brain magnetic reso-
nance imaging and verbal IQ. The other compo-
nents of WISC including full IQ scale showed non
significant association. The significant associa-
tion was detected with hematocrete value <27. Our
results did not find such an association. This could
be due to methodological difference with the fore
mentioned study. For this reason a need of future
studies with large samples and the inclusion of
different variables including both brain and hema-
tology and control for psychosocial factors may
contribute to clarification of this controversy.
In iron deficiency anemia children our study
showed that low hemoglobin concentration pre-
dicted the mean score of attention problems and
low IQ while mean corpuscular volume predicted
the mean motor excess score. Many studies sup-
port the relationship between iron deficiency
anemia and attention deficit or motor excess or
restless leg syndrome.3 7-39 However, the expla-
nations of this relationship were different from
one study to another. One of these studies40
found an association between the intellectual and
behavioral deficits of the iron-deficient children
and the changes of some urinary catecholamine
metabolite and suggested that the dependence
of monoamine oxidase on adequate iron stores
could be a contributing factor in these deficits.
The relationship between iron deficiency and
monoamines was supported by a recent studies
on rats.41,42 Significantly lower serum ferritin lev-
els have been observed in children with attention
deficit hyperactivity disorder than in controls,37 the
authors reported 84% of attention-deficit/hyper-
activity disorder (ADHD) children had serum fer-
ritin levels of <30 ng/mL, compared with 18% of
controls (P<.001). Although we found significant
lower level of serum ferritin in iron deficient chil-
dren than in controls, regression analysis of all the
hematological parameters as independent vari-
ables and scores of behavior and intelligence as
dependent variables showed no predictive value
of ferritin.
In a recent study,43 iron supplementation (80
mg/day) appeared to improve ADHD symptoms
in children with low serum ferritin levels but the
authors of this study suggested a need for future
investigations with larger controlled trials to con-
firm their findings.
Another study44 demonstrated that iron defi-
ciency with or without anemia could affect the
social-emotional behavior of infants. The relation-
ship of the attention and IQ to the hemoglobin
concentration and the motor excess to the main
corpuscular volume could be explained by the
decrease oxygen binding capacity which resulted
from anemia. This explanation does not exclude
by any means the changes in serum ferritin in
these changes and needs confirmation by future
studies because most of the studies that studied
the role of ferritin were done on infants and pre-
school children.
CONCLUSION
From the results of our study we can conclude
that: the children with iron deficiency anemia are
Original Research
FIGURE 3.
Relationship between motor excess
score and the mean corpuscular vol-
ume
Mubarak A, Fadel W, Said S, Hammar MA. CNS Spectr. Vol 15, No 11. 2010.
10
8
6
4
2
0
RBPC (Motor Excess Score)
Iron Deficiency
Thalassemia
Control
Mean Corpascular Volume
60 70 80 90 100
*
**
*
*
*
***
**
**
*
* * *
CNS Spectr 15:12 December 2010
637
more prone to having low attention and being
hyperactive while thalassemic children tend to
be more prone conduct problems. IQ is low in
both groups, but iron deficiency anemia children
are more affected than thalassemic. The contro-
versy about the factors contributing to behavioral
problems still needs more work to be clarified.
Our findings give some evidence that changes in
some hematological parameters, particularly the
hemoglobin concentration and mean corpuscular
volume, could contribute to attention problems,
motor behavior and IQ changes in iron deficiency
anemia. The absence of any biological correlate
to the mean score of RBPCL in the thalassemic
group could give indirect support for the role of
psychosocial factors in the emergence of behav-
ioral problems in thalassemic children, although
not excluding the role of other biological factors.
There is a correlation between medical illness
and behavioral changes, this makes psychiatrists
who deal with behavioral problems screen care-
fully for medical illness especially in children. This
also opens the door for pediatricians and primary
care physicians to be insightful for the behavior
changes that their patients have due to the medi-
cal illness.
We have to acknowledge the limitations of our
study which are mainly the small sample size and
also the lack of multicultural comparisons to evalu-
ate the behavioral norms and the degree of social
support for this group of children. For this reason
we recommend a large scale study that considers,
in addition to the hematological, other biologi-
cal parameter, the impact of differences in social
support among different cultures in shaping these
behavioral changes particularly in thalassemic
children. CNS
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Original Research
CNS Spectr 15:12 December 2010
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... Of these 15 studies, 14 used clinic-based samples and 10 had samples sizes of less than 100 children. The majority of the 15 studies reported significantly higher rates of emotional difficulties among children with chronic illness including among children with: asthma in Brazil; [12] type 1 diabetes in China; [13] anaemia or thalassemia in Egypt; [14,15] asthma in India; [16] sickle cell anaemia or juvenile diabetes mellitus in Nigeria; [17,18] juvenile rheumatoid arthritis in North Macedonia; [19] diabetes, asthma or epilepsy in Russia; [20] Type 1 diabetes, familial Mediterranean fever or thalassemia in Turkey. [21][22][23] Missing from this evidence base are any population-based studies of the prevalence of emotional difficulties among children with/without disabilities in LMICs. ...
... We included child age (grouped either into a categorical variable of age 5-7, 8-10, 11-13, 14-17 or as a binary variable age 5-12 vs. [13][14][15][16][17] and gender (male/female) as covariates. No data were missing for these two variables. ...
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Population-based studies undertaken in high-income countries have indicated that children and adolescents with disabilities are more likely than their non-disabled peers to experience emotional difficulties such as anxiety and depression. Very little is known about the association between disability and emotional difficulties among children growing up in low and middle-income countries (LMICs). We aimed to estimate the strength of association between disability and two forms of emotional difficulties (anxiety, depression) in a range of LMICs and to determine whether the strength of this relationship was moderated by child age and gender. Secondary analysis of data collected in Round 6 of UNICEF’s Multiple Indicator Cluster Surveys undertaken in 44 LMICs (combined n = 349,421). Data were aggregated across countries by both mixed effects multi-level modelling and restricted maximum likelihood meta-analysis. Young people with disabilities, when compared with their non-disabled peers, were approximately two and a half times more likely to be reported by parents to show daily signs of either anxiety or depression. The level of risk among young people with disabilities was highest in upper middle-income countries and lowest in low-income countries. We estimated that approximately 20% of young people with frequent anxiety or depression also had a disability. All approaches to mental health interventions (from primary prevention to clinical interventions) need to make reasonable accommodations to their services to ensure that the young people with emotional difficulties who also have a disability are not ‘left behind’.
... Anak dengan defisiensi besi memiliki kecenderungan memiliki gangguan perilaku, baik internalisasi ataupun eksternalisasi dibandingkan anak tanpa defisiensi besi. [10][11][12] Penelitian mengenai hubungan antara defisiensi besi dan perilaku telah banyak dilakukan, tetapi penelitian pada anak usia sekolah belum banyak dilaporkan dan penggolongan tipe masalah perilaku dan faktor perancu yang dapat menimbulkan masalah perilaku belum diuraikan dengan jelas. Tujuan dari penelitian ini menganalisis hubungan defisiensi besi dengan perilaku anak sekolah di Kota Palembang. ...
... Dikatakan anemia defisiensi besi apabila terdapat penurunan hemoglobin dan saturasi transferin < 20%. 14 Kerahasian Hasil pemeriksaan laboratorium terhadap 124 subjek penelitian didapatkan rerata kadar hemoglobin 11,7g/dL (8,(0)(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)9) Selanjutnya, untuk melihat faktor yang paling berpengaruh terhadap perilaku dan kekuatan hubungannya dilakukan analisis multivariat dengan regresi logistik menggunakan metode Backward dengan Likehood Ratio. Analisis multivariat faktor terhadap perilaku anak tertera pada Tabel 5. faktor yang paling berpengaruh terhadap perilaku anak usia 6-12 tahun adalah faktor defisiensi besi (p=0,001 dan OR=6,901. ...
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Latar belakang. Prevalensi defisiensi besi anak usia sekolah di Indonesia sebesar 47,2%. Defisiensi besi menyebabkan perkembangan dan fungsi saraf terganggu, termasuk timbulnya masalah perilaku. Belum ada penelitian yang menilai hubungan defisiensi besi dan masalah perilaku anak usia sekolah di Palembang. Tujuan. Menganalisis hubungan defisiensi besi dengan masalah perilaku anak usia sekolah di Palembang. Metode. Desain penelitian deskriptif analitik dengan pendekatan cross sectional. Subjek penelitian adalah anak Sekolah Dasar (SD) usia 6-12 tahun di Palembang yang dipilih dengan multi stage random sampling pada bulan April sampai Juni 2013. Pada semua subjek penelitian dilakukan pemeriksaan fisis, laboratorium (hemoglobin, besi serum, dan saturasi transferin), dan penilaian perilaku menggunakan Pediatric Symptom Checklist (PSC) 17. Perbedaan kejadian masalah perilaku antara subjek dengan dan tanpa defisiensi besi dianalisis dengan uji kai kuadrat. Faktor risiko lain yang berpengaruh dianalisis dengan regresi logistik. Hasil. Dari 125 subjek yang terpilih didapatkan prevalensi defisiensi besi 26,6%, anemia defisiensi besi 25%, dan kejadian masalah perilaku 29%. Dari 33 subjek dengan defisiensi besi terdapat 20 yang memiliki masalah perilaku, sedangkan dari 81 subjek tanpa defisiensi besi terdapat 14 dengan masalah perilaku (uji kai kuadrat, p=0,001; OR 7,363; IK95%:2,978-18,203). Pada penilaian tipe perilaku, terdapat hubungan bermakna antara defisiensi besi dengan perilaku internalisasi (p=0,001, OR 7,604; IK95%:2,462-18,363). Ditemukan faktor yang paling berpengaruh terhadap perilaku, melalui analisis regresi logistik, yaitu defisiensi besi (p=0,001; adjusted OR 6,901; IK95%:2,816-16,914). Kesimpulan. Defisiensi besi merupakan faktor risiko terjadinya masalah perilaku, terutama perilaku internalisasi.
... In a multi-center birth cohort project in Korea, it was shown that besides iron deficiency, blood lead level was significantly associated with impaired cognitive function (19). Mubarak's study showed a lower IQ level in iron deficient children compared to thalassemic and control groups (20). ...
Article
Background: Iron deficiency is one of the most common nutrient defeciencies in the world. Iron plays an important role in the central nervous system. The aim of this study was to identify the association of iron deficiency with IQ level of students. Methods: In this case control study, 289 randomly selected students aged eight to eleven years old were tested for iron, TIBC,Hb, and RBC indices. Iron deficient patients were referred to a psychologist to determine their IQ level with the Raven test. The IQ level of children with Iron deficiency was compared with a normal student randomly chosen and matched by age, gender, and socioeconomic status. Results: Sixty patients had a Fe/TIBC ratio of less than 15%. The frequency of iron deficiency was 20.7%. There was no significant differences in the frequency of iron deficiency between males and females. A significant difference was not found in the IQ level between cases and controls. Conclusions: The IQ of cases and controls did not differ significantly. It seems that there was still controversies regarding the effects of IQ and iron deficiency.
... The human HBB and HBD genes (β-and δ-chains of hemoglobin, respectively) have the largest number of known SNP markers (rs34500389, rs33981098, rs33980857, rs34598529, rs33931746, rs397509430, and rs35518301) of resistance to malaria and thalassemia (Cooley's anemia) [119] (Table 3). According to output of a primary keyword search [120][121][122], a hemoglobin deficiency is associated with higher intermale aggression, socialized aggression, inattention, low IQ, acute psychosis with aggression, and also with aggression in 4-and 5-year-old girls. Similarly, our secondary keyword search showed that thalassemia increases the risk of aggressiveness (impulsiveness) [123,124] and that aggressiveness is a comorbidity in hospitalized boys with thalassemia [125]. ...
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Background Aggressiveness in humans is a hereditary behavioral trait that mobilizes all systems of the body—first of all, the nervous and endocrine systems, and then the respiratory, vascular, muscular, and others—e.g., for the defense of oneself, children, family, shelter, territory, and other possessions as well as personal interests. The level of aggressiveness of a person determines many other characteristics of quality of life and lifespan, acting as a stress factor. Aggressive behavior depends on many parameters such as age, gender, diseases and treatment, diet, and environmental conditions. Among them, genetic factors are believed to be the main parameters that are well-studied at the factual level, but in actuality, genome-wide studies of aggressive behavior appeared relatively recently. One of the biggest projects of the modern science—1000 Genomes—involves identification of single nucleotide polymorphisms (SNPs), i.e., differences of individual genomes from the reference genome. SNPs can be associated with hereditary diseases, their complications, comorbidities, and responses to stress or a drug. Clinical comparisons between cohorts of patients and healthy volunteers (as a control) allow for identifying SNPs whose allele frequencies significantly separate them from one another as markers of the above conditions. Computer-based preliminary analysis of millions of SNPs detected by the 1000 Genomes project can accelerate clinical search for SNP markers due to preliminary whole-genome search for the most meaningful candidate SNP markers and discarding of neutral and poorly substantiated SNPs. Results Here, we combine two computer-based search methods for SNPs (that alter gene expression) {i} Web service SNP_TATA_Comparator (DNA sequence analysis) and {ii} PubMed-based manual search for articles on aggressiveness using heuristic keywords. Near the known binding sites for TATA-binding protein (TBP) in human gene promoters, we found aggressiveness-related candidate SNP markers, including rs1143627 (associated with higher aggressiveness in patients undergoing cytokine immunotherapy), rs544850971 (higher aggressiveness in old women taking lipid-lowering medication), and rs10895068 (childhood aggressiveness-related obesity in adolescence with cardiovascular complications in adulthood). Conclusions After validation of these candidate markers by clinical protocols, these SNPs may become useful for physicians (may help to improve treatment of patients) and for the general population (a lifestyle choice preventing aggressiveness-related complications).
... Anaemia caused by iron deficiency is the most common nutritional problem in the world. An analysis of the behaviour pattern and the level of intelligence of anaemic children with iron deficiency and thalassaemia and healthy children revealed that iron deficiency significantly contributes to the development of behavioural disorders and a decrease in IQ score (muBarak et al. 2010). ...
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Health behaviours are actions taken by a person in the field of health. Risky behaviours are those that pose a threat to health. Bioelements are essential for the proper functioning of every organism. Their trace amounts are necessary for life and health. The aim of this study was to determine the relationship between health behaviours and the levels of bioelements in the blood serum of secondary school students. This survey-based study was carried out on a sample of 376 secondary school students aged 13-16 years. It was performed using the HBSC questionnaire (Health Behaviour in School-aged Children: A WHO Collaborative Cross-national Study). Next, cubital vein blood was collected for laboratory tests, and the levels of bioelements (Mg, Ca, Cu, Fe, Zn) in blood serum were determined. The analysis of the research material did not demonstrate substantial differences in the mean serum levels of Ca, Mg, Zn, Cu, Fe between smokers and non-smokers, alcohol consumers and non-consumers, drug users and non-users. There were no statistically significant correlations between the levels of bioelements and the frequency of drinking beer and vodka (p > 0.05). A statistically significant correlation was observed between Cu levels and drinking wine (p ≤ 0.05). Subjects showing aggressive behaviours (getting into scuffles) had lower Mg and Zn levels than other secondary school students. There were weak but statistically significant correlations between Cu levels and the frequency of wine consumption, and between serum Zn levels and smoking marijuana among the subjects. © 2016, Polish Society Magnesium Research. All rights reserved.
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This study examined the association between enrollment duration and health treatment outcomes among migrant Head Start children. Children (n = 1,399) were divided into two groups: those who enrolled for 1 year and those who enrolled more than 2 years. Health treatment outcomes were preventative dental treatment, asthma treatment, hearing/vision, and anemia/high lead level treatment. Logistic regression analyses were conducted to examine whether enrollment duration has any association with health treatment outcomes. Child and family baseline variables were examined for their association with enrollment duration. Children who were enrolled more than 2 years were likely to be older, to live with two parents, to speak Spanish at home, to receive supplemental nutritional assistance program, to live in a higher family income household, to have reliable transportation and to stay in the program for more weeks. Longer enrollment duration has a positive association with preventative dental treatment, asthma treatment, and hearing/vision treatment. Thus, active recruitment through interagency collaborations for children of migrant and seasonal farmworkers needs to be done to promote earlier and longer enrollment duration for the migrant Head Start program. A future study needs to be done on the barriers to health care treatment services among migrant children.
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The present study aimed to report the prevalence of anaemia and iron deficiency (ID) and to explore the associations among socio-demographic characteristics, nutritional status and inflammation status in the occurrence of anaemia and ID in a nationally representative sample of Malaysian primary schoolchildren. Using data from the South East Asian Nutrition Surveys (SEANUTS), 544 Malaysian children aged 7 to 12 years were included in this secondary analysis. Blood samples were drawn for haemoglobin and serum ferritin analysis while C-reactive protein (CRP) and α-1-acid glycoprotein (AGP) were measured to detect inflammation. Prevalence of anaemia and ID were 4.0% and 5.2%, respectively. There were significantly more anaemic indigenous bumiputra children (9.9%) than Chinese children (0.6%). Correction for inflammation did not change the prevalence of ID. More overweight/obese children than thin/normal weight children were found to have elevated acute phase protein (APP). Children with elevated inflammatory markers had significantly higher ferritin level than children without inflammation. Periodic health assessments of anaemia and ID at the population level to monitor and clarify the epidemiology of health problems are required to inform public health policies and strategies.
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Background: Preterm babies are at high risk of iron deficiency. Methods: We investigated current practices regarding iron prophylaxis in preterm and low birth weight newborns among Local Neonatal Units (LNUs, n = 74) and Neonatal Intensive Care Units (NICUs, n = 20) of three Italian Regions (Piemonte, Marche and Lazio). Results: Birth weight is considered an indicative parameter in only 64% of LNUs and 71% of NICUs, with a significant difference between LNUs in the three regions (86%, 20% and 62%, respectively; p < 0.001). Iron is recommended to infants with a birth weight between 2000 and 2500 g in only 25% of LNUs and 21% of NICUs, and to late-preterm (gestational age between 34 and 37 weeks) in a minority of Units (26% of LNUs, 7% of NICUs). Conclusions: Our pilot survey documents a great variability and the urgent need to standardize practices according to literature recommendations.
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The purpose of this study is to examine whether family characteristics and the length of children's enrollment in Migrant Head Start affects children's health treatment. Children in the Michigan Migrant Head Start were classified depending on years of enrollments: One year (n = 638), two years (n = 293), and three or more years (n = 426). Logistic regression analyses were conducted to examine whether the probability of children receiving health treatment differed depending on years of enrollment. There is a higher health treatment rate among children who attended Head Start for multiple years than for those who attended for one year. Children's special needs status, of siblings, ethnicity, parental educational level, and marital status were related to preventative dental and physical health treatment outcomes. Although the primary goal of Head Start is school readiness rather than health improvement, migrant and seasonal farmworker children are likely to receive more health treatment if they attend more years of comprehensive intervention, such as Head Start, for positive physical and dental health.
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In a trial to correlate behavior &. intelligence with urinary catecholamine excretion in children with iron deficiency anemia, a study was carried out on 3 homogenous groups : each consists of 15 children, their ages ranged between 5 to 10 years. These groups include iron-deficient anemic, non-iron-deficient anemic, and a healthy control groups. The intellectual and behavioral functions were estimated by a standardized psychometric tests for Egyptian children. The psychometric assessment was performed before and after iron therapy or blood transfusion in iron deficient and non- iron- deficient children respectively. Pretreatment scenes in both groups were significantly lower than normal (P< 0.001), and post treatment improvements in all scores were noticed, but did not reach normal values.Urinary excretion of norepinephrine (NE), epinephrine (E), metanephrine-normetanephrine (MN-NMN), and 4 - hydroxy - 3 - methoxy-mandelic acid (HMMA) wasmeasured in 24-hour samples al.so before and after treatment with iron or blood transfusion. In iron deficient children the pretreatment (NE) and (MN- NMN) excretion was abnormally high (P<0.05) and returned to normal after treatment. (HMMA) excretion was· abnormally low before than after treatment( P<O. 05 ), but most values were within the normal range for healthy children. There was no significant difference between (E) excretion before and after iron therapy. Anemic, non-iron- deficient children had normal urinary (NE), (E) and (MNNMN) excretion before and after transfusion. A statistically highly significant correlation (r = 0.81) was found between urinary (NE) excretion and the intellectual score, and a significant correlation(r= 0.61) with the behavioral scores before treatment in iron-deficient anemic children only These findings suggest that the intellectual and behavioral deficits of the iron-deficient children may be related to alterations in catecholamine metabolic pathways secondary to dependence of monoamine oxidase (MAO) on adequate iron store
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Objective: To compare the neuropsychological functioning of children with sickle cell disease (SCD) with no evidence of overt clinical stroke to that of classmates without a chronic illness matched on gender, race, and age. We examined both overall level of performance and patterns of performance utilizing empirically derived construct scores of key domains of neurocognitive functioning. Methods: An abbreviated neuropsychological battery of tests was given to 31 children with SCD and 31 case controls. Empirically derived construct scores were developed for primary analyses. Results: Children with SCD had significantly lower scores on three level-of-performance construct scores: total, verbal, and attention/memory. Mean scores for children with SCD were lower than those for case controls on every level-of-performance construct score and every standardized test score. However, pattern-of-performance construct scores were not significantly different. Conclusions: Children with SCD without overt stroke demonstrate significant deficits in neurocognitive functioning compared to classroom case controls. These findings highlight the impact of SCD on general neurocognitive functioning and suggest that routine screening of cognitive functioning should be a requisite element of comprehensive care for children with SCD. Within the context of documented physical limitations, we conclude that children with SCD are at very high risk for impaired psychosocial outcomes.
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Objective: To establish whether sickle cell disease (SCD) affects cognitive functioning in children with no evidence of cerebral infarction. Methods: We conducted a meta-analysis of studies of cognition in SCD to determine the size of any statistical difference between children with SCD and controls. Methodological factors were evaluated according to the size and frequency of group differences. Results: There were small but reliable decrements in cognitive functioning on IQ measures (4.3-point difference overall). The most methodologically rigorous studies showed a highly similar pattern. Sampling issues associated with the effect size for IQ were identified. Measures of specific abilities appear more sensitive than IQ scores to cognitive decrements in SCD. Conclusions: SCD is associated with cognitive effects even in the absence of cerebral infarction. The causes of this cognitive decrement may include direct effects of SCD on brain function or indirect effects of chronic illness.
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I am deeply honored in having been selected as the recipient of the Abraham Jacobi Award for 1975. In view of the great pediatric pioneer for whom this award is named, and the list of distinguished pediatricians who have preceded me in being accorded this honor, I feel humble on this occasion. The recipient of the award is permitted to choose his own subject and to discuss it in the way he deems most appropriate. Indeed, from the awardee's standpoint, this is one of the nice features of the occasion—to have a captive audience and the opportunity to harp on a favorite theme! During my professional years I have always maintained a lively interest in pediatric psychiatry, especially from the practical viewpoint of what the physician can do to prevent or minimize emotional tensions in the child and his family, and if present, to relieve them. I intend to share
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The composite score of the Iowa Tests of Basic Skills, a measure of scholastic performance, was found to be significantly lower in anemic, presumably iron-deficient, students, ages 12 to 14 years, than in nonanemic student compeers. The male anemic students' test scores showed a progressive decline from ages 12 to 14, while performance remained consistently poor among the anemic females.
Book
Authors and Contributors. Preface to the Fourth Edition. Preface to the First Edition. Acknowledgements. Part 1 Historical Background.1. Historical Perspectives: The Many and Diverse Routes to our Current Understanding of the Thalassaemia Syndromes. Part 2 The Biology of The Thalassaemias. 2. Human Haemoglobin 3. Thalassaemia: Classification and Relationship to Other Inherited Diseases of Haemoglobin.4. The Molecular Pathology of the Thalassaemias. 5. Pathophysiology of the Thalassaemias. 6. The World Distribution and Population Genetics of Thalassaemia. Part 3 Clinical Features of the Thalassaemias 7. The beta Thalassaemias.8. The delta beta and Related Thalassaemias 9. The beta and delta beta Thalassaemia in Association with Structural Haemoglobin Variants.10. Hereditary Persistence of Fetal Haemoglobin.11. The alpha Thalassaemias and Their Interactions with Structural Haemoglobin Variants. 12. Thalassaemia withmental retardation or Myelodysplasia. 13. Thalassaemia Intermedia. Part 4 Diagnosis and management of thalassaemia. 14. Avoidance and Population Control.15. Management and prognosis.16. Laboratory Diagnosis of the Thalassaemias. Part 5 The Future. References. Appendix. Index.