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Clinical Characteristics and Associated Socio-Demographic Factors of Autistic Spectrum Disorder in Erbil City: A Cross-Sectional Study

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14 May 2025

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15 May 2025

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Abstract
The increasing prevalence of Autism Spectrum Disorder (ASD) is a significant health concern influenced by both genetic and environmental factors. However, limited data exist on the socio-demographic and clinical characteristics associated with ASD in our region. This cross-sectional study assessed 200 children (155 boys and 45 girls) diag-nosed with ASD at Hawler Psychiatric Hospital in Erbil city between January and De-cember 2023. The Childhood Autism Rating Scale-Second Edition (CARS-2) was used for diagnosis and severity assessment. The mean age of participants was 4.6 ± 1.8 years, with males representing 77.5% of the sample. Cesarean section was the most common mode of delivery. The average parental ages were 34.8 years for mothers and 38.5 years for fathers. The first signs of autism were noticed at a mean age of 25.7 ± 9.7 months, with the first medical consultation at 34.6 ± 15.4 months and diagnosis at 42.4 ± 15.5 months. Delayed speech was the most common reason for seeking medical help. Sta-tistically significant associations were found between severe autism symptoms and several factors, including older child age, younger age at first assessment, delayed speech, parental consanguinity, paternal age over 40, lower paternal education, and lower socioeconomic status. These findings emphasize the critical role of early detection and the influence of both socio-demographic and clinical factors on ASD symptom se-verity, highlighting the need for targeted early intervention strategies to improve out-comes in affected children.
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1. Introduction

The diagnostic rate for Autism Spectrum Disorders (ASD) has increased over the last two decades, and currently 1 in 54 children is diagnosed with autism spectrum disorder in the United States [1].
Prevalence rates vary considerably worldwide, however, in all countries in which multiple studies have been conducted over time there is a pattern of increasing prevalence. Clearly, some of the increase is attributable to better detection, increased awareness, and use of broader diagnostic criteria, although these factors do not appear to fully explain the dramatic rise in ASD. ASD affects individuals of all socioeconomic levels, races, and ethnicities, with a 4:1 male-to-female ratio [2].
Many genetic and environmental factors have been investigated in the etiopathogenesis of ASD. Studies suggest that the interaction of multifactorial factors involving genetics, environment, and gene-environment interaction plays a role in the etiology of ASD [3,4]. Research has identified genetic variants on multiple chromosomes, including chromosomes 2, 3, 4, 6, 7, 10, 15, 17, and 22, with increased risk associated with consanguinity [5,6]. Moreover, higher incidence rates among siblings of individuals with ASD underscore the importance of early detection and developmental monitoring in at-risk populations [7]. Environmental factors, including advanced parental age and perinatal complications, have also been implicated [8,9].
Sociodemographic characteristics such as male gender, nuclear family structure, and high parental education have been associated with an increased likelihood of ASD diagnosis [10].
According to both criteria (DSM-5 and ICD-11), the symptoms of ASD must be present before the age of three. The early detection of ASD allows intervention to be initiated even before a formal diagnosis is made, at a critical time in neurodevelopment, which consequently leads to better outcomes and prognosis [11,12,13,14].
To the best of our knowledge, there are no data about the characteristics of children and adolescents with autism attending outpatient clinics in the Kurdistan region of Iraq. This study aimed to shed light upon children with autism attending the child and adolescent psychiatric outpatient clinic at Erbil Psychiatric Hospital through documenting their condition and studying the association of autism with some of the common sociodemographic and clinical factors.

2. Participants and Methods

2.1. Study Design, Setting, and Participants

This cross-sectional study was conducted from January 1, 2023, to December 31, 2023. Recruitment of participants and data collection occurred during this period at the Child and Adolescent Psychiatric Outpatient Clinic of Hawler Psychiatric Hospital, a primary governmental psychiatric facility in Erbil with a dedicated child and adolescent psychiatric unit. The hospital provides diagnostic, treatment, and routine follow-up services to patients from the city and its surrounding areas. The study included children with autism attending the clinic, with a sample size calculated to require 150 cases; however, 200 cases were included to ensure robustness and account for potential dropouts or incomplete data. Participants were recruited and data were collected through routine clinic visits where caregivers of eligible children were approached. Following informed verbal consent, data were gathered using a structured questionnaire administered during these visits.

2.2. Inclusion and Exclusion Criteria

Initially, a total of 223 cases were reviewed for this study. After applying the inclusion and exclusion criteria, the final sample consisted of 200 children below 12 years of age. This included children who were either receiving their initial diagnosis from a senior psychiatrist or had been previously diagnosed with Autism Spectrum Disorder (ASD) according to The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria.
Children with unclear ASD diagnoses requiring further confirmation, as well as those aged 12 years or older, were excluded from the study.
The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), published by the American Psychiatric Association, provides standardized criteria for the diagnosis of mental disorders, including ASD.

2.3. Data Collection

The questionnaire consisted of five main parts: socio-demographic information, perinatal period details, clinical characteristics, ASD severity, and socioeconomic state. A pilot study was conducted on 15 patients to validate the questionnaire; these results were excluded from the final analysis.
  • Socio-demographic Information:
    • Age, sex, and place of residence (urban or rural).
    • Number of children in the family.
    • Caretaker details, specifying whether the mother was the sole caretaker during infancy or if there was another relative involved.
  • Perinatal Period:
    • Mode of delivery; vaginal or cesarean section.
    • Maturity at birth; Birth before 37 weeks regarded as premature, 38-42 weeks regarded as full term (on date) and after 42 weeks regarded as post term [15].
    • Neonatal admission; any newborn requiring admission to an incubator for more than two hours after delivery was considered a neonatal admission.
  • Clinical Characteristics:
    • Age of the child when the first signs of abnormality were observed.
    • Age when parents consulted a physician regarding the observed abnormality.
    • Age at the time of initial ASD diagnosis.
    • Age of parents.
    • Age of parents at the time of the child's birth.
    • Reason for consultation; the main concern of the family that made them seek psychiatrist such as (delay speech, poor response to name, hyperactivity, etc.).
    • Consanguinity between parents.
    • Family history of ASD.
    • Family history of psychiatric disorders.
    • Whether the child received any kind of training such as speech or behavioral therapy.
    • Severity of ASD Symptoms: Assessment using the Childhood Autism Rating Scale (CARS) Second Edition, a widely used scale with good psychometric properties, focusing on core ASD symptoms. It consists of 15 scaling questions to evaluate the child's ASD severity. First, the scores for the single items are summed together for a total score. Then, the child is classified as having minimal to no symptoms of autism (below 30), mild to moderate autism (30–36.5), or severe autism (above 36.5) [16].
  • Socioeconomic State
    A locally-designed scale developed by Omer and Al-Hadithi in 2017 was used to assess the socioeconomic status of the participant families [17]. This scale includes factors such as the age, education level, and occupation of the parents, ownership of a house and a car, and the status of the head of the family (deceased or alive). Based on these factors, families were classified into low socioeconomic status (4.5 and below), middle socioeconomic status (4.6-9.5), or high socioeconomic status (9.6-14.0).
To ensure efficiency in data collection, each caregiver was interviewed for approximately 30 minutes, allowing sufficient time to complete the questionnaire while minimizing participant burden.

2.4. Statistical Analysis

Data were entered into IBM-SPSS V27 for statistical analysis. Descriptive statistics were presented using tables and graphs, while inferential statistics utilized the Chi-square test to assess associations between variables. Descriptive measurements were represented as percentages, frequency distribution, and mean. P values ≤ 0.05 were considered statistically significant.

2.5. Ethical Consideration

The study was approved by the scientific committee of the Arabic Board of Psychiatry and the research ethics committee of the College of Medicine, Hawler Medical University. Participants received a detailed explanation of the study aims, including the purpose, procedures, and potential risks and benefits. Informed verbal consent was obtained from parents, with the consent process documented through notes taken by the researcher and witnessed by a co-researcher. Only those who provided consent proceeded with the research.
The ethics committee waived the requirement for written informed consent in accordance with Paragraph 32 of the Declaration of Helsinki (2013), which allows for exceptions to standard consent procedures when obtaining written informed consent is impractical or unnecessary, provided the research is approved by an ethics committee [18]. Considering the study participants were children with autism, informed verbal consent was deemed appropriate and ethically justified.
Confidentiality was maintained throughout the study. All personal information was anonymized and securely stored to ensure that participant identities were protected. Data were handled in compliance with relevant privacy regulations to ensure that confidentiality was upheld.

2. Results

This study included two hundred children with autism spectrum disorders (ASD) presented with a mean age and standard deviation (SD) of 4.6±1.8 years and a range of (1.8-11 years); 16% of the children with ASD were in the age group of less than 3 years, 45% of them were in the age group of 3-5 years, and 39% of the children were in age of more than 5 years. Male children with ASD were more than females (77.5% vs. 22.5%). About one-third of the children with ASD were living in rural areas (Table 1).
Prematurity represented 15.5% of children with ASD, while postdate deliveries were present in 6% of them. Cesarean section was the prevalent delivery mode for children with ASD (57.5%). The mothers were the primary caretakers for all the studied children with ASD. Only 23% of the children were only children of the family, while 77% had siblings. The mean age of mothers of children with ASD was 34.8±6.7 years; among them, 22.5% were aged 40 years or older. The mean maternal age at the time of birth was 30.4±6.3 years; 2.5% of mothers were less than 20 years old, 89.5% were between 20-39 years old, and 8% were 40 years or older. Meanwhile, the mean age of fathers of children with ASD was 38.5±7.5 years, with 40% of them being aged 40 years or older. The mean paternal age at the time of birth was 34.1±7.3 years; 0.5% of fathers were less than 20 years old, 79% were between 20-39 years old, and 20.5% were 40 years or older. A high educational level (college/institute) was present in 49% of the fathers and 37% of the mothers of children with ASD. The majority of fathers (64%) worked in private or non-governmental jobs, while the most common occupation for mothers was housewife (75.5%); 24.5% of mothers were employed outside the home. The Socio-Economic State Index class of families of children with ASD was low in 31.5%, medium in 46.5%, and high in 22% (Table 2).
The mean age at which parents first observed signs of ASD in their children was around 25.7 months (± 9.7 months). Signs were observed at less than 1 year in 4.0% of the cases, at 1 to 2 years in 24.0%, at 2 to 3 years in 50.0%, at 3 to 4 years in 16.5%, and at 4 years and above in 5.5%. The mean age at first examination was about 34.6 months (± 15.4 months). The peak age for first examination was 2 to 3 years (36.5%), followed by 3 to 4 years (28.0%), 4 years and above (21.5%), 1 to 2 years (12.5%), and less than 1 year (1.5%). The mean age at diagnosis was about 42.4 months (± 15.5 months), with diagnosis ages distributed as follows: less than 1 year (0.0%), 1 to 2 years (3.0%), 2 to 3 years (27.0%), 3 to 4 years (29.5%), and 4 years and above (40.5%). The most common reason for consultation was delayed speech (67.5%), followed by no response to his or her name (15%), behavioral problems (4.5%), hyperactivity (4%), tantrums (3%), and other reasons. Consanguinity of parents was reported in 31% of children with ASD, with first-degree consanguinity (e.g., marriage between cousins) being the reported level. Consanguinity was explored by asking parents if they were related to their partner. A positive family history of autism was found in 21% of the children, and a family history of psychiatric disorders was positive in 18% of them. Behavioral and speech therapy were received by only 23.5% of children with ASD. The severity of ASD symptoms according to the CARS-2 score was minimal to no symptoms (13%), mild to moderate symptoms (63%), and severe symptoms (24%) (Table 3).
There was a significant association between increased age of children and severe ASD symptoms. No significant differences were observed in ASD severity according to CARS-2 score regarding gender, residence, whether the child is alone or has siblings, mother's age at birth, father's age at birth, and mode of delivery. However, there was a significant association between children born on their due date and severe ASD symptoms (Table 4).
No significant differences were observed in ASD severity regarding age at the first sign of abnormality and age at diagnosis. However, there was a significant association between younger age at the first examination and severe ASD symptoms. Additionally, a significant association was observed between delayed speech in children and severe ASD symptoms, as well as between positive consanguinity and severe ASD symptoms. No significant differences were found among children with ASD of different severities regarding family history of autism, family history of psychiatric disorder, or received training (Table 5).
There is a significant association between the severity of ASD symptoms and both fathers’ age and educational level. However, no significant differences in ASD symptoms were found based on the father’s occupation, the mother’s age, the mother’s education level, or whether the mother is working or a housewife. (Table 6).
There was a significant association between low SESI class and ASD symptoms (Table 7).

4. Discussion

This is the first study done in Iraq examining the socio-demographic and clinical characteristics of ASD in the region.
In this study, the mean age of children with autism spectrum disorders (ASD) was 4.6±1.8 years, which aligns with studies conducted in KSA and Malaysia, where mean ages of 4.6±2.2 years and 5.5 ±2.6 years were reported, respectively [19,20]. This age was lower than that found in a study in Bangladesh, which reported a mean age of 6.66±2.97 [21], However, another study in Malaysia demonstrated significantly higher mean age, reporting a mean age of 9.35±1.7 [22]. This difference may be attributed to improved awareness and education among parents regarding early consultation and diagnosis of ASD, as well as the fact that the samples were drawn from hospital settings. Overall, these findings suggest that most children with ASD are diagnosed and begin outpatient consultations during preschool and early school years. This period coincides with children attending kindergarten and facing increasing social and academic demands, presenting challenges for children with autism in meeting these expectations [23].
In our study, a significant association was found between older age of children and more severe ASD symptoms. Researchers noted that the severity of autism symptoms can change significantly between ages 3 and 11, with a higher percentage of children showing increased severity between ages 6 and 11 compared to other age ranges [24]. Another study observed that decreases in symptom severity were more common during early childhood, while increases in severity were more prominent during middle childhood [25].
Regarding the gender distribution among children with autism in our study, 77.5% were male and 22.5% were female, aligning with the findings from other studies [26,27,28,29]. We did not observe any significant differences between gender and the severity of ASD symptoms in our study, consistent with findings from a study conducted in the USA [30].
A high percentage of cases were from urban areas, primarily within Erbil, and a higher percentage exhibited moderate to severe autism. This finding is consistent with previous studies [31,32]. This disparity is expected due to easier access to specialized centers and hospitals for consultation and diagnosis in urban areas, as well as differences in parental education levels between urban and rural settings. Future studies are needed to better understand the rates and severity of autism in both rural and urban areas.
Regarding the number of siblings, 77% of children with autism had siblings, while 23% did not. This proportion was lower than in a previous study where 46.9% of children with autism had no siblings [32]. This variation may be attributed to cultural and societal differences, particularly in regions where larger family sizes are common, in addition to differences in study sample sizes.
Regarding the mode of delivery, 57.5% of children with autism were born via C-section and 42.5% via vaginal delivery, with no significant association observed with the severity of autism. Studies on the relationship between C-sections and autism have yielded mixed results, with some indicating a slightly increased risk compared to vaginal delivery, while others find no significant association [33]. A meta-analysis mentioned that C-section delivery may be a risk factor for ASD, particularly for births occurring between gestational weeks 36 and 42, compared to vaginal delivery [34]. Another study across five countries found higher odds of ASD among children born via C-section due to potential factors such as oxytocin dysregulation and anesthesia-related neurotoxicity [35].
Most of the children with autism in our study exhibited mild to moderate symptoms based on the CARS-2 score, contrasting with a study done by Tan D et al., in which the majority had severe ASD symptoms [36]. In our study, 24% had severe ASD symptoms, consistent with findings from the Centers for Disease Control and Prevention (CDC) reporting that over one in four children with autism exhibit "profound autism" [37]. The differences in autism severity across studies may be influenced by cultural variations in diagnosis, access to healthcare and early intervention, screening tools used, genetic and environmental factors, and sample selection methods. Future studies are needed to better understand these factors and how they influence the identification and severity of autism across different populations.
Our study revealed that the mean age of fathers was 38.5±7.5 years, with 40% of them aged forty years or older. We found a statistically significant association between advanced paternal age and severity of ASD symptoms, whereas maternal age showed no such association. This finding aligns with studies from multiple geographic regions indicating a higher risk of ASD among children born to fathers older than 45 years, independent of maternal age [38,39].
The majority of families in our study first noticed signs of abnormality in their children by the age of two years. This age was later than reported in studies from Nigeria and India [40,41], reflecting cultural differences and varying parental awareness of early signs of autism across different regions and study populations.
The mean age at first examination in our study was approximately three years ± one year, similar to findings from a previous study in India [40], but dissimilar to a study in Nigeria where the mean age at diagnosis was significantly higher at 8.13±3.98 years [41]. This discrepancy is likely due to easier access to specialists and medical services for diagnosis in our study setting. Although ASD can be diagnosed as early as 18 months of age [42], the latest review indicated that, globally, the mean age at ASD diagnosis ranges between 38 and 120 months [43].
We found a significant association between the age at first examination and severity of autism in our study sample. This finding is supported by research conducted in France, which also found a significant association between age at diagnosis and severity of autism [44]. It suggests that parents are more likely to seek early consultation and intervention for severe symptoms, whereas mild to moderate symptoms may not be recognized as requiring immediate intervention.
The mean age at diagnosis in our sample was around three and a half years, which is later than Preeti et al. with the first consultation age at 32.5 months [45]. A systematic review and meta-analysis covering studies from 2012 to 2019 reported a mean age at diagnosis of approximately five years across 35 countries [46]. Thus, most children who are ultimately diagnosed with ASD are not diagnosed until after the age of 4, despite the fact that parents often express concerns a year or two before this age [47]. The delay between the age of first examination and diagnosis may be attributed to factors such as parental denial, consultation with multiple specialties for diagnosis, or the challenge of diagnosing ASD before three years of age when symptoms may be less clear.
The primary reason for family consultation in our study was delayed speech, significantly associated with more severe ASD symptoms, consistent with findings from a study done by Herlihy L et.al [48]. This underscores the tendency of parents to prioritize speech delays over recognizing earlier signs such as social and non-verbal communication issues.
In our study, 31% of cases had parental consanguinity, and consanguinity was significantly associated with the severity of ASD. These results are consistent with findings from Saudi Arabia and Qatar [49,50]. This correlation suggests that parental consanguinity may influence the severity of ASD symptoms, possibly due to the prevalence and cultural acceptance of consanguineous marriages in the region. A study conducted in Erbil city in 2018 found that 41% of children and adolescents attending a Child and Adolescent Psychiatric Outpatient Clinic had parents who were consanguineous, further supporting this notion [51]. This is likely because consanguineous marriage is a common and traditionally preferred custom in the area.
Regarding family history of ASD, 21% of cases had a positive family history. A population-based cohort study in Sweden estimated the heritability of ASD at approximately 50%, though we did not find a statistically significant association between family history and severity of symptoms in our study [52].
Early intervention is crucial in the treatment of children with autism [53]. However, only 23.5% of children in our study received speech or behavioral training, contrasting sharply with a study in USA where nearly 70% of children received behavioral or medication treatments [54]. This low rate of intervention in our sample may be attributed to factors such as inadequate parental education about the importance of early speech and behavioral therapies, economic constraints, insufficient public training and rehabilitation centers for autism in our city, and a shortage of specialized experts in the field.
Forty-nine percent of fathers had a bachelor’s degree, and there was a significant association between higher paternal education levels and more severe ASD symptoms. A previous study concluded that higher levels of parental education, specifically obtaining a university degree (bachelor’s degree or higher), lead to earlier detection of ASD, underscoring the instrumental role of parental education in catalyzing early interventions and facilitating appropriate support systems for children with ASD [55]. In contrast, a Swedish population-based study concluded that no significant relationships with parental education were observed [56].
Regarding maternal occupation, 75.5% of mothers of children with autism in our study were homemakers, which is higher than in previous studies [57]. This may be attributed to cultural factors, where women are less educated and do not work outside the home.
Most children with autism in our study belonged to the middle socioeconomic class. A systematic review found that higher parental socioeconomic status (SES) was positively associated with the prevalence of ASD [58].
We found a statistically significant association between lower socioeconomic class and more severe autism symptoms, consistent with research suggesting that ASD prevalence is higher in areas with greater levels of deprivation [59]. This finding underscores the impact of socioeconomic status on early consultation and intervention, which are critical factors in the management of ASD.
This study has several limitations that should be considered. Firstly, our findings are limited to outpatient children with Autism, which may affect the generalizability of the results to other populations or settings. The absence of a control group further limits our ability to make comparative assessments. Moreover, since the majority of participants resided in Erbil city, the findings may not be generalizable to a national sample. Additionally, potential bias may arise from caregiver data, as responses can be influenced by subjective perceptions or misunderstandings regarding the child's condition and behavior. This could affect the accuracy of the information provided and subsequently impact the study's findings.

5. Conclusions

This study provides valuable insights into the characteristics of children with Autism Spectrum Disorder (ASD) attending the Child and Adolescent Psychiatric Outpatient Clinic in Erbil, Kurdistan. The findings indicate a predominance of males among the diagnosed children, with delayed speech being the most common reason for consultation. Notably, the age at which parents first observed signs of ASD and the age of diagnosis varied, highlighting the need for increased awareness and early detection strategies. The study also identified significant associations between the severity of ASD symptoms and factors such as the age of the child, the presence of delayed speech, and parental consanguinity. Importantly, the socio-economic status of families showed a diverse distribution, suggesting that ASD affects children across various socio-economic backgrounds in the region.
These findings underscore the necessity for enhanced diagnostic resources and support services tailored to the needs of families in Kurdistan, aiming to improve early intervention and management strategies for children with ASD.

6. Recommendations

To improve outcomes for children with Autism Spectrum Disorder (ASD), several recommendations are suggested. Firstly, raising awareness about the early features of ASD can encourage families to seek specialist consultations and initiate treatment at an earlier stage. Providing psycho-education to families about treatment options and the significance of early intervention can positively influence both the prognosis and long-term outcomes of the disorder. Additionally, increasing the availability of public rehabilitation centers for children with ASD is crucial, as many families face financial barriers to accessing private facilities. Finally, future research with larger sample sizes is recommended to identify additional risk factors and further understand the complexities of ASD.

Author Contributions

Conceptualization, Hiwa Jaff and Banaz Saeed; Methodology, Hiwa Jaff and Banaz Saeed; Validation, Hiwa Jaff and Banaz Saeed; Formal analysis, Hiwa Jaff and Banaz Saeed; Resources, Hiwa Jaff; Data curation, Hiwa Jaff and Banaz Saeed; Writing—original draft preparation, Hiwa Jaff; Writing—review and editing, Banaz Saeed; Supervision, Banaz Saeed. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Research Ethics Committee of the College of Medicine, Hawler Medical University and the Scientific Committee of the Arab Board of Psychiatry (Protocol Code: HCMU-REC-2023-46, Approval Date: 10 January 2023).

Informed Consent Statement

Informed verbal consent was obtained from the parents of all participants involved in the study. The requirement for written informed consent was waived by the ethics committee due to the minimal risk nature of the study and cultural considerations, in accordance with Paragraph 32 of the Declaration of Helsinki.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy and ethical restrictions.

Conflicts of Interest

The authors declare no conflicts of interest.

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Table 1. General characteristics of children with ASD.
Table 1. General characteristics of children with ASD.
Variable No. %
Age
<3 years 32 16.0
3-5 years 90 45.0
>5 years 78 39.0
Gender
Male 155 77.5
Female 45 22.5
Residence
Urban 142 71.0
Rural 58 29.0
Total 200 100.0
Table 2. Socio-demographic and perinatal characteristics of children with ASD.
Table 2. Socio-demographic and perinatal characteristics of children with ASD.
Variable No. %
Maturity at birth
Premature 31 15.5
On date 157 78.5
Postdate 12 6.0
Type of delivery
Normal delivery 85 42.5
Cesarean section 115 57.5
Caretaker
Mother 200 100.0
Number of childrenin family
1 (child was alone) 46 23.0
>1 (child had siblings) 154 77.0
Mother’s age
20-39 years 155 77.5
≥40 years 45 22.5
Mother’s age at birth
<20 years 5 2.5
20-39 years 179 89.5
≥40 years 16 8.0
Father’s age
20-39 years 120 60.0
≥40 years 80 40.0
Father’s age at birth
<20 years 1 0.5
20-39 years 158 79.0
≥40 years 41 20.5
Father’s education
Illiterate 20 10.0
Primary level 42 21.0
Secondary level 40 20.0
College/institute 98 49.0
Mother’s education
Illiterate 30 15.0
Primary level 58 29.0
Secondary level 38 19.0
College/institute 74 37.0
Father’s occupation
Governmental employee 72 36.0
Non-governmental employee 128 64.0
Mother’s occupation
Housewife 151 75.5
Has job 49 24.5
Socioeconomic class
Low 63 31.5
Medium 93 46.5
High 44 22.0
Total 200 100.0
Table 3. ASD clinical characteristics.
Table 3. ASD clinical characteristics.
Variable No. %
Age at first sign of abnormality (mean±SD = 25.7±9.7 months)
<1 year 8 4.0
1-2 year 48 24.0
2-3 years 100 50.0
3-4 years 33 16.5
4 years and above 11 5.5
Age at first examination (mean±SD = 34.6±15.4 months)
<1 year 3 1.5
1-2 year 25 12.5
2-3 years 73 36.5
3-4 years 56 28.0
4 years and above 43 21.5
Age at first diagnosis (mean±SD = 42.4±15.5 months)
<1 year 0 0.0
1-2 year 6 3.0
2-3 years 54 27.0
3-4 years 59 29.5
4 years and above 81 40.5
Reasons for consultation
Delay speech 135 67.5
No response to name 30 15.0
Behavioral problems 9 4.5
Hyperactivity 8 4.0
Tantrum 6 3.0
Poor social interaction 5 2.5
Poor sleep 3 1.5
Delayed walking 2 1.0
Poor attention 2 1.0
Consanguinity
Positive 62 31.0
Negative 138 69.0
Family history of autism
Positive 42 21.0
Negative 158 79.0
Family history of psychiatric disorders
Positive 36 18.0
Negative 164 82.0
Receive Behavioral and speech therapy
Yes 47 23.5
No 153 76.5
Severity of ASD according to CARS-2 scores
No symptoms- Minimum 26 13.0
Mild-Moderate 126 63.0
Severe 48 24.0
Total 200 100.0
Table 4. Distribution of general characteristics according to ASD severity.
Table 4. Distribution of general characteristics according to ASD severity.
Variable CARS severity P value
No Symptoms Mild-Moderate Severe
No. % No. % No. %
Age 0.030
<3 years 3 11.5 29 23.0 0 -
3-5 years 13 50.0 55 43.7 22 45.8
>5 years 10 38.5 42 33.3 26 54.2
Gender 0.800
Male 21 80.8 98 77.8 36 75.0
Female 5 19.2 28 22.2 12 25.0
Residence 0.190
Urban 17 65.4 95 75.4 30 62.5
Rural 9 34.6 31 24.6 18 37.5
Number of children 0.770
Child is alone 5 19.2 31 24.6 10 20.8
Child has siblings 21 80.8 95 75.4 38 79.2
Mother age at birth 0.994
<20 years 1 3.8 3 2.4 1 2.1
20-39 years 23 42.3 113 46.8 43 41.7
≥40 years 2 7.7 10 7.9 4 8.3
Father age at birth 0.551
<20 years 0 0.0 0 0.0 1 2.1
20-39 years 21 80.8 99 78.6 38 79.2
≥40 years 5 19.2 27 21.4 9 18.8
Mode of delivery 0.100
Normal delivery delivery 15 57.7 47 37.3 23 47.9
Cesarean section 11 42.3 79 62.7 25 52.1
Maturity at birth 0.005*
Premature 3 11.5 27 21.4 1 2.1
On date 19 73.1 93 73.8 45 93.8
Postdate 4 15.4 6 4.8 2 4.2
*Fishers exact test.
Table 5. Distribution of ASD characteristics according to ASD severity.
Table 5. Distribution of ASD characteristics according to ASD severity.
Variable CARS severity P value
No Symptoms Mild-Moderate Severe
No. % No. % No. %
Age at first sign of abnormality 0.091*
<1 year 1 3.8 3 2.4 4 8.3
1-2 year 2 7.7 36 28.6 10 20.8
2-3 years 13 50.0 62 49.2 25 52.1
3-4 years 7 26.9 21 16.7 5 10.4
4 years and above 3 11.5 4 3.2 4 8.3
Age at first examination 0.031*
<1 year 0 0.0 0 0.0 3 6.3
1-2 year 2 7.7 16 12.7 7 14.6
2-3 years 6 23.1 48 38.1 19 39.6
3-4 years 8 30.8 38 30.2 10 20.8
4 years and above 10 38.5 24 19.0 9 18.8
Age at first diagnosis 0.600*
1-2 year 1 3.8 5 4.0 0 0.0
2-3 years 3 11.5 43 34.1 8 16.7
3-4 years 8 30.8 34 27.0 17 35.4
4 years and above 14 53.8 44 34.9 23 47.9
Reasons for consultation 0.020*
Delay speech 19 73.1 87 69.0 29 60.4
Poor sleep 0 0.0 3 2.4 0 0.0
No response to name 2 7.7 21 16.7 7 14.6
Hyperactivity 3 11.5 0 0.0 5 10.4
Poor social interaction 1 3.8 4 3.2 0 0.0
Behavioral problems 0 0.0 5 4.0 4 8.3
Delay walking 0 0.0 0 0.0 2 4.2
Tantrum 1 3.8 4 3.2 1 2.1
Poor attention 0 0.0 2 1.6 0 0.0
Consanguinity 0.010
Positive 7 26.9 32 25.4 23 47.9
Negative 19 73.1 94 74.6 25 52.1
Family history of autism 0.090
Positive 2 7.7 26 20.6 14 29.2
Negative 24 92.3 100 79.4 34 70.8
Family history of psychiatric disorders 0.901
Positive 5 19.2 23 18.3 8 16.7
Negative 21 80.8 103 81.7 40 83.3
Receive training 0.141
Yes 4 15.4 27 21.4 16 33.3
No 22 84.6 99 78.6 32 66.7
*Fishers exact test.
Table 6. Distribution of parental characteristics according to ASD severity.
Table 6. Distribution of parental characteristics according to ASD severity.
Variable CARS severity P value
No Symptoms Mild-Moderate Severe
No. % No. % No. %
Age of father 0.030*
20-39 years 14 53.8 84 66.7 22 45.8
≥40 years 12 46.2 42 33.3 26 54.2
Age of mother 0.101*
20-39 years 21 80.8 102 81.0 32 66.7
≥40 years 5 19.2 24 19.0 16 33.3
Father’s education 0.040
Illiterate 3 11.5 8 6.3 9 18.8
Primary level 4 15.4 25 19.8 13 27.1
Secondary level 8 30.8 22 17.5 10 20.8
College/institute 11 42.3 71 56.3 16 33.3
Mother’s education 0.161
Illiterate 5 19.2 14 11.1 11 22.9
Primary level 8 30.8 36 28.6 14 29.2
Secondary level 1 3.8 27 21.4 10 20.8
College/institute 12 46.2 49 38.9 13 27.1
Father's occupation 0.060
Governmental employee 4 15.4 50 39.7 18 37.5
Non-governmental employee 22 84.6 76 60.3 30 62.5
Mother’s occupation 0.900
Housewife 20 76.9 95 75.4 36 75.0
Working 6 23.1 31 24.6 12 25.0
*Fishers exact test.
Table 7. Association between SESI class and severity of ASD.
Table 7. Association between SESI class and severity of ASD.
Variable CARS class P value
No Symptoms Mild-Moderate Severe
No. % No. % No. %
SESI class 0.006
Low 6 23.1 34 27.0 23 47.9
Medium 18 69.2 61 48.4 14 29.2
High 2 7.7 31 24.6 11 22.9
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