image
Reach Us +44 1752 712024
SOCIETIES:
mental health, psychiatry and mental health, journals on mental health, mental health journals, journals mental health
journals for mental health, best journals for mental health, mental health journals uk, journals on psychiatry
JOURNAL COVER:
journals of psychiatry, psychiatry journals, asean, journal
Google Scholar citation report
Citations : 5373

ASEAN Journal of Psychiatry received 5373 citations as per google scholar report

ASEAN Journal of Psychiatry peer review process verified at publons
IMPACT FACTOR:
Journal Name ASEAN Journal of Psychiatry (MyCite Report)  
Total Publications 456
Total Citations 5688
Total Non-self Citations 12
Yearly Impact Factor 0.93
5-Year Impact Factor 1.44
Immediacy Index 0.1
Cited Half-life 2.7
H-index 30
Quartile
Social Sciences Medical & Health Sciences
Q3 Q2
KEYWORDS:
  • Anxiety Disorders
  • Behavioural Science
  • Biological Psychiatry
  • Child and Adolescent Psychiatry
  • Community Psychiatry
  • Dementia
  • Community Psychiatry
  • Suicidal Behavior
  • Social Psychiatry
  • Psychiatry
  • Psychiatry Diseases
  • Psycho Trauma
  • Posttraumatic Stress
  • Psychiatric Symptoms
  • Psychiatric Treatment
  • Neurocognative Disorders (NCDs)
  • Depression
  • Mental Illness
  • Neurological disorder
  • Neurology
  • Alzheimer's disease
  • Parkinson's disease

Research Article - ASEAN Journal of Psychiatry (2024)

Effectiveness of parent training program (pre and post-association) for ADHD children in primary school Duhok city

1Assistant Teacher, MSc. Psychiatric and Mental Health Nursing, Colleges of Nursing, University of Duhok/Kurdistan Region of Iraq, Iraq
2Assistant Prof. Psychiatrist, College of medicine, University of Duhok/ Kurdistan Region of Iraq, Iraq

*Corresponding Author:

Anfal Abdulhafedh Zainel, Assistant Teacher, MSc. Psychiatric and Mental Health Nursing, Colleges of Nursing, University of Duhok/Kurdistan Region of Iraq, Iraq, Email: anfal_222@yahoo.com

Received: 17-Jul-2023, Manuscript No. AJOPY-23-106513; Editor assigned: 20-Jul-2023, Pre QC No. AJOPY-23-106513 (PQ); Reviewed: 27-Jul-2023, QC No. AJOPY-23-106513; Revised: 20-Feb-2024, Manuscript No. AJOPY-23-106513 (R); Published: 27-Feb-2024, DOI: 10.54615/2231-7805.47346

Abstract

Objective: The aim of the current study was to examine the effectiveness parent training program, for Attention Deficit Hyperactivity Disorder (ADHD) students in primary school.

Methods: In this study, 500 participants with ADHD (aged 6 to 15 years). A cross-sectional study used to assess the effectiveness of parent training programs for ADHD students in primary schools and its impact on reaction time performance were used as pre-tests and post-tests across groups. (Data were analysed PSS version 26).

Result: The result indicated statistically significant differences between pre and post parents training P-value 0.007 the result showed a clear agreement for the psychological and behavioural disorders of the parents.

Conclusion: In 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 improve their psychological problems.

Recommendation: provide the ADHD center with a competent counsellor or nurse to assist the family and their child to improve their situation. ASEAN Journal of Psychiatry, Vol. 25 (2) February, 2024; 1-10.

Keywords

Attention Deficit Hyperactivity Disorder (ADHD); Parent training; The program; Primary school

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

  1. Identify the biographic data of the sample.
  2. Awareness and training program for parent about ADHD in primary schools.
  3. Effectiveness of the training program in primary schools in Duhok City.
  4. 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

References

scan code
INDEXATION OF THE JOURNAL
Get the App