Introduction
Parent training programs have been shown to be effective in improving outcomes for children with ADHD. Studies have shown that these programs can lead to improvements in ADHD symptoms, behavior, and academic performance. Pre- and post-association studies have also shown that parent training programs can lead to improvements in parental stress, family functioning, and parenting practices. It is necessary to note that the effectiveness of these programs can vary depending on the specific program used and the child’s and families individual needs.
Attention deficit hyperactivity disorder (ADHD) is a disorder for all age Characterized by a pattern of extreme pervasive, persistent and debilitating inattention, over activity and impulsivity. It is believed to be one of the most common reasons for mental health referrals to family physicians, paediatricians, paediatric neurologists and child and adolescent psychiatrists. Although originally thought to remit during childhood, the symptoms of ADHD have also been shown to persist in patients through adolescence and into adulthood. The disorder is chronic, with one third to one half of those affected retaining the condition into adulthood. It interferes with many areas of normal development and functioning in a child’s life. Children with ADHD are more likely than their peers to experience educational underachievement, social isolation and antisocial behaviour during the school years and to go on to have significant difficulties in the post-school years [1].
Attention deficit/hyperactivity disorder is one of the most common neurodevelopmental disorders of childhood. The worldwide prevalence in 5.3% in a systematic review of 102 studies from all continents, with a majority from North America and Europe [2].
Children ≤ 18 years has been estimated at Attention Deficit Hyperactivity Disorder (ADHD) is characterized by pervasive and impairing symptoms of inattention, hyperactivity, and impulsivity according to DSM-IV [3].
The World Health Organization (WHO) uses a different name Hyperkinetic Disorder (HD), but lists similar operational criteria for the disorder. Regardless of the name used, ADHD/HD is one of the most thoroughly researched disorders in medicine [4].
Attention-deficit/hyperactivity disorder is among the most common neurobehavioral presenting for manage in children. It carries a high rate of comorbid disorder problems such as Oppositional Defiant Disorder (ODD), conduct disorder, mood and anxiety disorders learning disorder, and cigarette and substance use disorders. Across the life, the social and societal costs of untreated ADHD are considerable, including academic and occupational underachievement, delinquency, motor vehicle safety, and difficulties with personal communication [5-7].
ADHD affects an estimated 4% to 12% of school-aged children worldwide with survey and epidemiologically derived data showing that 4 to 5% of college aged students and adults have ADHD. In more recent years, the diagnosis of ADHD in adults has been increasing although treatment of adults with ADHD continues to lag substantially behind that of children. In contrast to a disproportionate rate of boys diagnosed with ADHD relative to girls in childhood, in adults, an equal number of male and female with ADHD are presenting for diagnosis management and treatment [8-11].
Objectives
- Identify the biographic data of the sample.
- Awareness and training program for parent about ADHD in primary schools.
- Effectiveness of the training program in primary schools in Duhok City.
- Comparison between ADHD before and after parent training program.
Materials and Methods
Design of the study
A cross sectional study used to assess the effectiveness of parent training program for ADHD students in primary schools and its impact on the reaction time performance.
The study is planned to be conducted on students in primary schools in Duhok city.
Time of the study
The present study will start from the 1st July 2021 to 1st January 2023.
The sample of the study
A systematic random sampling of 500 children, male and female students in the primary schools in Duhok City.
The criteria for selecting the sample of the study
Inclusion criteria
- Students in the primary schools.
- Both genders.
- Students and families who agree to participate.
Exclusion criteria: Students and family who reject to participate in the study.
Instruments for data collection
Questionnaire form will be prepared for the purpose of data collection from study sample.
The questionnaire form composed of the following
Part I: Socio-demographic characteristics.
Part II: Prevalence and Risk factor by questionnaire
Part III: A structure and well-organized parent training program will be applied.
Parent training programs include
Engagement modules
E1: Understanding the Family: Talk about the values, qualities, and parenting styles that parents and adolescents share.
E2: Focusing Treatment Goals: Determine and prioritize the areas that need changing for parents and teen.
E3: Partnership Skills: Discuss keeping calm under stress. Introduce "I" statements and reflective listening techniques. Make arrangements for a parent-teen practice session to be held at home.
E4: Creating Structure at Home: Talk about creating a home schedule that strikes a balance between obligations and fun activities.
Skill modules
-
- S1: Writing Down Homework
- S2: Making a Homework Plan
- S3: Organization Checks:
- S4: Time Management Strategies
- S5: Study Skills
- S6: Note Taking
- S7: Problem Solving
Method of data collection
Data will be collected through the utilization of the questionnaire (Primary school in Duhok City).
Validity and reliability of the instrument
The validity of the instrument will be assessed by the panel of experts. Reliability of the study will be done by using the measurement of the study and find out the test and retest.
Ethical consideration
-
- A. Approval must be taken from ethical committee
- B. Confidentiality and privacy regarding personal issues of the clients.
Data analysis
Data will be analysis by using SPSS version 26.
Chi square and Fischer Exact Tests will be used to find out the association.
Duration and timeline
The present study will be started from the 1st July 2021 to 1st January 2023.
Results
Statistical analysis
Data were entered, and analyzed using IBM SPSS version 28. Continuous data were described by their mean, range, and standard deviation. Categorical data were described using frequency and frequency percent tables. To test difference between two means, the unpaired t-test was used for independent samples and the paired t-test was used for dependent or paired samples. To test the relationship between categorical variable, the Chi-square test was used, and when this was inappropriate because of low cell frequency, Fisher’s exact test was used. McNemar-Bowker test was used to test pre-/post-training severity of ADHD in the 45 children who represented the intervention group. A P-value ≤ 0.05 was considered statistically significant.
Five hundred school children recruited to this study with minimum age 6years to the maximum age 15 years old, nearly 55.6 of them female and 44.4 of them are male. 47.4% in the age group (6-8), the distribution of six classes is the same 16.8%, most of them are Muslim 97.6% and have moderate socioeconomic states 53.6%.
The result also shows that 10.4% of the children have attention deficit hyperactivity disorders. There are no statistically significant differences between ADHD and non-ADHD cases P-value 0.088.
Regarding the Characteristics of the 52 ADHD cases and (the 24 pupils without comorbidity were involved in the intervention or training part of the study) appear that Multiple Long-Term Conditions (MLTC) such as conducted disorder 9.6%, anxiety and depression 13.5%, learning disabilities 30.8%. In regard to type of ADHD combined 42.3%, inattentive 44.2, and hyperactive 13.5. 65.4% have moderate symptoms of ADHD and 57.7% have moderate impairment.
The study indicated the relationship between presence/absence of ADHD and pupils’ sociodemographic characteristics, no significant relation between sex and religion with and religion but high significant relation between age, class, and economic state with ADHD, no-ADHD.
Characteristic |
No. |
% |
Sex |
Male |
222 |
44.4 |
Female |
278 |
55.6 |
Age groups (years) |
8-Jun |
237 |
47.4 |
11-Sep |
223 |
44.6 |
15-Dec |
40 |
8 |
Class |
1 |
84 |
16.8 |
2 |
83 |
16.6 |
3 |
84 |
16.8 |
4 |
83 |
16.6 |
5 |
83 |
16.6 |
6 |
83 |
16.6 |
Socioeconomic state |
low |
120 |
24 |
Moderate |
268 |
53.6 |
High |
112 |
22.4 |
Religion |
Muslim |
488 |
97.6 |
Christian |
6 |
1.2 |
Yezidian |
6 |
1.2 |
Residence |
Baroshki |
136 |
27.2 |
Nzarki |
81 |
16.2 |
Sinaa |
62 |
12.4 |
Hay Shorta |
62 |
12.4 |
Zrka |
42 |
8.4 |
Hay Askari |
39 |
7.8 |
Gribasi |
40 |
8 |
KRO |
38 |
7.6 |
School |
Hiwa |
42 |
8.4 |
Shorash |
40 |
8 |
Roshna |
40 |
8 |
Ararat |
62 |
12.4 |
Chreesk |
39 |
7.8 |
Barzi |
62 |
12.4 |
Payman |
62 |
12.4 |
Ordixan |
38 |
7.6 |
Shreen |
74 |
14.8 |
Knowledge |
41 |
8.2 |
Total |
500 |
100 |
Prevalence of ADHD among all the studied pupils
|
|
No. |
% |
ADHD |
ADHD |
52 |
10.4 |
Non-ADHD |
448 |
89.6 |
Total |
500 |
500 |
Descriptive statistics of age of 52 ADHD cases and 448 non-ADHD children
|
No. |
Minimum |
Maximum |
Mean |
Std. Deviation |
P-value* |
52 |
6 |
15 |
8.33 |
2.2 |
0.088 |
448 |
6 |
15 |
8.81 |
1.87 |
Note: *Based on unpaired t-test. |
Table 1. Sociodemographic characteristics of all the studied pupils.
Characteristic |
No. |
% |
Comorbidity with ADHD |
No comorbidity |
24 |
46.2 |
Conduct disorder |
5 |
9.6 |
Anxiety and depression |
7 |
13.5 |
Learning disabilities |
16 |
30.8 |
Type of ADHD |
Combined |
22 |
42.3 |
Inattentive |
23 |
44.2 |
Hyperactive |
7 |
13.5 |
Severity of symptoms of ADHD |
Mild |
12 |
23.1 |
Moderate |
34 |
65.4 |
Severe |
6 |
11.5 |
Impairment |
Impairment |
52 |
100 |
No impairment |
0 |
0 |
Degree of impairment |
Mild |
12 |
23.1 |
Moderate |
30 |
57.7 |
Severe |
10 |
19.2 |
Severity of ADHD by impairment |
Mild |
12 |
25 |
Moderate |
30 |
55.8 |
Severe |
10 |
19.2 |
Total |
52 |
100 |
Table 2. Characteristics of the 52 ADHD cases (the 24 pupils without comorbidity were later involved in the intervention or training part of the study).
Characteristic |
ADHD |
Non-ADHD |
Total |
P-value |
No. |
% |
No. |
% |
No. |
% |
Sex |
Male |
30 |
57.7 |
197 |
44 |
227 |
45.4 |
0.06 |
Female |
22 |
42.3 |
251 |
56 |
273 |
54.6 |
Age groups (years) |
8-Jun |
35 |
67.3 |
202 |
45.1 |
237 |
47.4 |
<0.002 |
11-Sep |
11 |
21.2 |
212 |
47.3 |
223 |
44.6 |
15-Dec |
6 |
11.5 |
34 |
7.6 |
40 |
8 |
Class |
2-Jan |
30 |
57.7 |
137 |
30.6 |
167 |
33.4 |
<0.001 |
4-Mar |
14 |
26.9 |
153 |
34.2 |
167 |
33.4 |
6-May |
8 |
15.4 |
158 |
35.3 |
166 |
33.2 |
Socioeconomic state |
Low |
23 |
44.2 |
97 |
21.7 |
120 |
24 |
0.001 |
Moderate |
21 |
40.4 |
247 |
55.1 |
268 |
53.6 |
High |
8 |
15.4 |
104 |
23.2 |
112 |
22.4 |
Religion |
Muslim |
50 |
96.2 |
438 |
97.8 |
488 |
97.6 |
0.229 |
Christian |
2 |
3.8 |
4 |
0.9 |
6 |
1.2 |
Yezidian |
0 |
0 |
6 |
1.3 |
6 |
1.2 |
Total |
52 |
100 |
448 |
100 |
500 |
100 |
|
Table 3. Relationship between presence/absence of ADHD and pupils’ sociodemographic characteristics.
Medical history |
ADHD |
Non-ADHD |
Total |
OR (95% CI) |
P-value* |
No. |
% |
No. |
% |
No. |
% |
Family history |
Yes |
20 |
38.5 |
18 |
4 |
38 |
7.6 |
14.9 (7.2-31.0) |
<0.001 |
No |
32 |
61.5 |
430 |
96 |
462 |
92.4 |
Twins |
Yes |
4 |
7.7 |
7 |
1.6 |
11 |
2.2 |
5.3 (1.5-18.6) |
0.02 |
No |
48 |
92.3 |
441 |
98.4 |
489 |
97.8 |
Alcohol drinking, drugs, medication during pregnancy |
Yes |
1 |
1.9 |
2 |
0.4 |
3 |
0.6 |
- |
0.281 |
No |
51 |
98.1 |
446 |
99.6 |
497 |
99.4 |
- |
Malnutrition during pregnancy |
Yes |
6 |
11.5 |
5 |
1.1 |
11 |
2.2 |
- |
<0.001 |
No |
46 |
88.5 |
443 |
98.9 |
489 |
97.8 |
- |
Child malnutrition |
Yes |
6 |
11.5 |
7 |
1.6 |
13 |
2.6 |
- |
<0.001 |
No |
46 |
88.5 |
441 |
98.4 |
487 |
97.4 |
- |
Child accident, fall from height, brain injury |
Yes |
4 |
7.7 |
3 |
0.7 |
7 |
1.4 |
- |
<0.001 |
No |
48 |
92.3 |
445 |
99.3 |
493 |
98.6 |
- |
Eating a lot of canning sugars, food additives, wheat |
Yes |
30 |
57.7 |
117 |
26.1 |
147 |
29.4 |
- |
<0.001 |
No |
22 |
42.3 |
331 |
73.9 |
353 |
70.6 |
- |
Using a lot of electronic devices: TV, iPad, mobile |
Yes |
37 |
71.2 |
260 |
58 |
297 |
59.4 |
- |
0.068 |
No |
15 |
28.8 |
188 |
42 |
203 |
40.6 |
- |
Hearing impairment |
Yes |
1 |
1.9 |
3 |
0.7 |
4 |
0.8 |
- |
0.356 |
No |
51 |
98.1 |
445 |
99.3 |
496 |
99.2 |
- |
Type of delivery |
CS |
22 |
42.3 |
103 |
23 |
125 |
25 |
- |
0.002 |
NVD |
30 |
57.7 |
345 |
77 |
375 |
75 |
- |
Time of delivery |
Premature |
10 |
19.2 |
23 |
5.1 |
33 |
6.6 |
- |
<0.001 |
Normal |
42 |
80.8 |
425 |
94.9 |
467 |
93.4 |
- |
Exposure to lead |
Exposed |
14 |
26.9 |
26 |
5.8 |
40 |
8 |
- |
<0.001 |
Non-exposed |
38 |
73.1 |
422 |
94.2 |
460 |
92 |
- |
Total |
52 |
100 |
448 |
100 |
500 |
100 |
- |
- |
Note: *Based on Chi-square test or fisher’s exact test. |
Table 4. Relationship between presence/absence of ADHD and pupils’ medical history (risk factors).
|
Simple Reaction |
P-value* |
No. |
Minimum |
Maximum |
Mean |
Standard deviation |
Children with ADHD** |
45 |
694.8 |
1598.6 |
1032.1 |
189.1 |
<0.001 |
Children without ADHD |
45 |
404.6 |
850.6 |
584.01 |
83.15 |
Complex reaction
|
|
Children with ADHD** |
45 |
824.2 |
2088 |
1081.48 |
235.63 |
<0.001 |
Children without ADHD |
45 |
426.4 |
687.6 |
546.29 |
74.81 |
Note: *Based on unpaired t-test; **Include 24 pupils with ADHD and 21 cases of ADHD taken from the MCH Center. |
Table 5. Simple and complex reaction times (each as average of five readings) by presence/absence of ADHD in 90 children, before parent training.
Characteristic |
ADHD cases (initially n = 45) |
No. |
% |
Type of ADHD |
Combined |
17 |
37.8 |
Inattentive |
17 |
37.8 |
Hyperactive |
11 |
24.4 |
Severity of symptoms of ADHD |
Mild |
11 |
24.4 |
Moderate |
23 |
51.1 |
Severe |
11 |
24.4 |
Impairment |
Impairment |
45 |
100 |
No impairment |
0 |
0 |
Degree of impairment |
Mild |
12 |
26.7 |
Moderate |
23 |
51.1 |
Severe |
10 |
22.2 |
Severity of ADHD before training |
Mild |
12 |
26.7 |
Moderate |
23 |
51.1 |
Severe |
10 |
22.2 |
ADHD after training |
ADHD |
14 |
31.1 |
No ADHD |
31 |
68.9 |
Severity of ADHD after training |
Mild |
11 |
78.6 |
Moderate |
1 |
7.1 |
Severe |
2 |
14.3 |
No ADHD |
31 |
68.9 |
Total |
45 |
100 |
The effect of parent training on the frequency of ADHD (also shown in the previous table)
|
Cases with ADHD before training |
|
ADHD after training |
|
|
|
|
|
ADHD |
|
No ADHD |
|
No. |
% |
No. |
% |
No. |
% |
45 |
100 |
14 |
31.1 |
31 |
68.9 |
Note: A statistical test and p-value cannot be calculated because of the lack of controls (ADHD cases without training), i.e., no controls for the 45 children who represented the intervention group. |
Table 6. Characteristics of the 45 ADHD cases selected for parent training, with results of the training at the end.
|
Severity of ADHD after training |
Total |
P-value* |
Mild |
Moderate |
Severe |
No. |
% |
No. |
% |
No. |
% |
No. |
% |
Severity of ADHD before training |
Mild |
1 |
100 |
0 |
0 |
0 |
0 |
1 |
100 |
0.007 |
Moderate |
7 |
87.5 |
1 |
12.5 |
0 |
0 |
8 |
100 |
Severe |
3 |
60 |
0 |
0 |
2 |
40 |
5 |
100 |
Total |
11 |
78.6 |
1 |
7.1 |
2 |
14.3 |
14 |
100 |
Note: *Based on McNemar-Bowker test. |
Table 7. Comparison of the severity of ADHD (according to impairment) before/ after parent training.
Study also revealed that there is high statistical significant relationship between presence/absence of ADHD and pupils’ medical history (risk factors) such as family history, twins, Alcohol drinking, drugs, medication during pregnancy, child malnutrition, fall from high and canning sugars, time, type of delivery and exposed to lead <0.001 [12-14].
This study also indicated a statistically significant differences between pre and post parents training P-value 0.007.
Discussion
Throughout this chapter, interpretation and discussion of the study findings were presented with supportive evidence available in the literature, such presentation was organized with regard to the study objectives as follows:
Part 1: Socio demographic Characteristics of the attention deficit hyperactivity disorder.
The result of the study reveals that most of the pupils at school age, these findings coincide with the findings of A 2008 evaluation of the “KiGGS” survey, monitoring 14,836 girls and boys (aged between 3 to 17 years), which showed that 4.8% of the participants had an ADHD diagnosis, and not matched with the same study according the gender female was more than male While 7.9% of all boys had ADHD, only 1.8% girls had it, The frequency of the diagnosis differs between male children (10%) and female children (4%) in the United States. Nearly all the pupil’s families are Muslim may be because most of the Kurdistan people are Muslim and live at the level of moderate socio-economic status [15].
Large numbers of the pupils experienced ADHD in Kurdish society but were not diagnosed because most of the combined with other disorders or medical history of the family in addition to the use of drugs, substances, medication during pregnancy, child malnutrition, and child accident these finding 1. Research to date has shown that ADHD may be caused by a number of things, including2: Brain anatomy and function, Genes and heredity, Significant head injuries, Prematurity, and Prenatal exposures, such as alcohol or nicotine from smoking. The diagnosis is based on a pattern of the symptoms listed above. When the person with suspected ADHD is a child, parents and teachers are usually involved during the evaluation process. Most children with ADHD have at least one other developmental or mental health problem. This problem may be a mood, anxiety, or substance use disorder; a learning disability; or a tic disorder [16].
A training program for behaviour management was applied to parents of children with ADHD in a pretest-posttest design, using measures from Child Behaviour Check List (CBCL) and Parenting Scale. A significant improvement was found in ADHD.
Conclusion
Parent-training programs appear to be successful in treating the primary symptoms of ADHD in school-aged children. Across this study, the parent training programs seemed to be able to increase parental confidence in their management abilities and increase their self-esteem. Coincidentally, it also appears that they were able to reduce parents’ stress, as well as lead to a reduction of ADHD symptoms and child noncompliance. Research to include both fathers and mothers in the treatment program and to continue to investigate possible differential effects of the parent-training program. Additionally, research designs should focus more attention on possible parental problems and their influence on treatment effects. Moreover, equal attention should be placed on the evaluation of parent training programs within clinical and community settings. Lastly, the sustainability of treatment effects should be evaluated well after the conclusion of the study.
Recommendation
Provide schools with psychological therapists or counsellors to observe children who have played with hyperactivity and attention deficit disorder and send them to specialized places to train parents on how to deal with them.
Training parents and teachers on how to deal with children with ADHD through a special program in special places or social media.
Teaching and guiding teachers on how to deal with children who have ADHD in schools and sending them to special centers in the event that there are many symptoms.
Promoting these programs for training parents in all mental health centers for children, and showing their importance and the strength of their impact
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