Volume 6, Issue 10 e1584
ORIGINAL RESEARCH
Open Access

Prevalence of depression among Iranian children and adolescents: An updated systematic review and meta-analysis

Maedeh Bazargan

Corresponding Author

Maedeh Bazargan

Department of Psychology, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Correspondence Maedeh Bazargan, Department of Psychology, Najafabad Branch, Islamic Azad University, Najafabad 8514143131, Iran.

Email: [email protected]

Contribution: Conceptualization, Data curation, Formal analysis, ​Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing - original draft, Writing - review & editing

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Akram Dehghani

Akram Dehghani

Department of Psychology, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Contribution: Data curation, ​Investigation, Methodology, Project administration, Validation, Visualization, Writing - original draft, Writing - review & editing

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Mohammad Arash Ramezani

Mohammad Arash Ramezani

Behsa Clinic, Tehran, Iran

Contribution: Data curation, ​Investigation, Methodology, Project administration, Validation, Visualization, Writing - original draft, Writing - review & editing

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Alireza Ramezani

Alireza Ramezani

Department of Psychology, Shahid Beheshti University, Tehran, Iran

Contribution: Data curation, ​Investigation, Methodology, Project administration, Validation, Visualization, Writing - original draft, Writing - review & editing

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First published: 02 October 2023

Abstract

Background and Aims

One of the most common mental disorders among children and adolescent is depression. Some of the conducted studies indicate a too-high prevalence of depression, which cannot be generalized to the entire country. So the pooled estimation of the results of different studies is very important to reach valid results. So the current study aimed to determine the prevalence of depression among Iranian children and adolescents using an updated systematic review and meta-analysis.

Methods

A random-effects model was used to estimate the pooled prevalence of depression (I2 = 99.7% and Cochran's Q, p < 0.001). To assess the effect of different factors on heterogeneity, the univariate meta-regression model was used. Publication bias was evaluated by Beggs and Eggers tests as well as funnel plots. Data were analyzed by STATA v 11 (StataCorp.). The significance level of the tests was considered less than 0.05.

Results

The prevalence of depression was 33.3% (95% CI: 27.3−39.2). The most prevalence estimated using the Beak questionnaire (57.1% [95% CI: 50.2−64.0]) and the lowest was estimated using the K-SADS-PL (9.0% [95% CI: 4.0−13.6]). This estimate among females was more than among males (47.2% [95% CI: 35.4−58.9] vs. 30.5 [95% CI: 7.4−53.6]). Regarding the geographical region, the most and the lowest amount of depression was seen in the central with 41.7% (95% CI: 19.2−64.3) and southern region with 21.9% (95% CI: 14.2−29.6), respectively.

Conclusion

The high prevalence of depressive disorders in Iranian children emphasizes the importance of prevention measures for these disorders.

1 INTRODUCTION

Mental disorders are one of the serious public health challenges worldwide that affect all age groups.1 These disorders affect children's development and growth, as well as academic performance and their potential for productive and fulfilling lives.2 Evidence shows that mental disorders during childhood and adolescence affect children's future lives and cause psychiatric problems in adulthood.3

About 10%−20% of children around the world suffer from mental illnesses, and these disorders cause the loss of 15%−30% of life years due to disability.4 According to the results of a study, 13.4% of children in the world have at least one mental disorder.5 According to published statistics from the United States in 2012, 55 out of 10,000 children and adolescents were admitted to psychiatric wards.6 Other studies from Brazil and Lithuania showed that the prevalence of mental disorders among children and adolescents is about 13%.7, 8 Epidemiological studies in 2010 from 51 Asian countries indicated that the prevalence of mental disorders in children and adolescents is 10%−20%.9 The results of a meta-analysis from India estimated the rate of psychiatric disorders in children and adolescents to be 6.64%.10

One of the most common mental disorders among children and adolescent is depression. According to a recent report on the global burden of diseases, depression is recognized as the main cause of disability in the population.11, 12 Depression is among the 25 main causes of morbidity and disabilities around the world.13 Depression has different symptoms, including feelings of sadness, loneliness, lack of interest in doing activities, poor academic performance, low self-confidence, dropping out of school, and so forth.14, 15 It is important to estimate the prevalence of mental illnesses in children and adolescents to create mental health policies. For this purpose, using epidemiological studies is one of the most important approaches to estimating the prevalence of these disorders.3

In Iran, as in other developing countries, several studies have been conducted on the prevalence of mental disorders, especially depression, in different cities, but the results obtained from each study are very different and cannot be generalized to the entire country due to several factors such as different sample sizes, different sampling methods, as well as different precision. For example, some of the conducted studies indicate a too high prevalence of depression, which cannot be generalized to the entire country because some factors such as understudied groups, sampling approach, and use of questionnaires can affect on results' generalizability.16 The prevalence of depression in Kazerun using the Zong questionnaire was 42%,17 in Rasht using the DASS-21 earned 6%,18 in Khorasan Razavi using the the 21-item BDI was 32%,19 and in Isfahan using the CDI questionnaire was reported 22%.20 So the pooled estimation of the results of different studies is very important to reach valid results. So the current study aimed to determine the prevalence of depression among Iranian children and adolescents using an updated systematic review and meta-analysis.

2 MATERIALS AND METHODS

The current systematic review and meta-analysis were conducted based on the preferred reporting cases for systematics reviews and meta-analyses (PRISMA) guidelines21 and Meta-Analysis of Observational Studies in Epidemiology (MOOSE) protocol.22 The search strategy and assessment of eligibility criteria were performed independently by at least two authors.

2.1 Search strategy

This systematic review and meta-analysis were performed to estimate the pooled prevalence of depression among Iranian children and adolescents from the original studies published in international electronic databases including PubMed, Scopus, Science Direct, and Google Scholar. The mentioned databases were searched to retrieve eligible studies that estimate the prevalence of depression among Iranian children and adolescents. The used keywords include: “epidemiology” OR “prevalence” AND “depressive disorder” OR “depressive” OR “depression” AND “Iranian” AND “child” OR “children” OR “Iranian children”.

2.2 Inclusion and exclusion criteria

Inclusion criteria include original cross-sectional research in Iran which estimated the prevalence of depression among Iranian children and adolescents (6−18 years) from January 1990 to December 2022. Review articles, case reports, cohorts, case series, and letters to the editor were excluded.

2.3 Qualitative evaluation

To assess the quality of included studies A modified version of the Newcastle−Ottawa scale for cross-sectional studies which was developed by Wells et al., in 2004 was used.23 The mentioned checklist contains five questions and the range of scores is between 0 and 10. Based on the scores obtained, the studies can be in one of four groups: unsatisfactory (less than 5 stars), satisfactory (5−6 stars), good (7−8 stars), and very good (9−10 stars). Two researchers separately assessed the quality of the studies and differences were referred to a third person.

2.4 Data extraction

The required data which includes, first author name, study year, sample size, city, age group, type of instrument, and prevalence of depression were extracted from each included study.

2.5 Statistical analysis

The heterogeneity was assessed using Cochran's Q test, T2, and I2 statistics with values >75%. Due to the presence of heterogeneity between studies, a random-effects model was used to estimate the pooled prevalence of depression (I2 = 99.7% and Cochran's Q, p < 0.001). To assess the effect of different factors on heterogeneity, the univariate meta-regression model was used. Publication bias was evaluated by Beggs and Eggers tests as well as funnel plots. Data were analyzed by STATA v 11 (StataCorp.). The significance level of the tests was considered less than 0.05.

2.6 Ethical considerations

Since the present study is a systematic review, ethical considerations are not applicable.

3 RESULTS

3.1 Study selection process

Based on the initial search results, 8451 articles were found. Out of this number, 2415 items were removed due to being repetitive. Among the remaining 6036 articles, 5768 articles were removed after screening based on abstract and title. Among the remaining 268 articles, 219 articles were excluded due to a lack of required data, and finally, 49 related records were included in the final analysis (Table 1). Figure 1 shows the PRISMA flow diagram for included studies in the current meta-analysis. All of the included studies were performed in 6−18 years children and adolescents. The total sample size of included studies was 99,089 cases. Twenty-one records had ≤500 cases and the sample size in 28 records was more than 500 cases. Among the included studies, 14 and three studies determined the prevalence of depression in females and males, respectively and 32 records did not consider sex subgroups. Forty-one study performed before 2020, and eight studies were published this year.

Table 1. Included studies in the current systematic review and meta-analysis.
First author Year City Population Design Age group Sample size Quality score
Noorbala A24 1996 Tehran High-school Cross-sectional 6−18 1478 8
Narimani M25 1998 Ardebil High-school Cross-sectional 6−18 127 7
Abdolahiyan E26 1999 Mashhad Elementary school Cross-sectional 6−18 2071 6
Shoja'ei-Zadeh D17 2001 Fars High-school Cross-sectional 6−18 240 6
Zargham A27 2001 Isfahan High-school Cross-sectional 6−18 323 7
Hosseinifard M28 2002 Kerman High-school Cross-sectional 6−18 830 7
Monirpour N29 2005 Tehran High-school Cross-sectional 6−18 388 7
Montazeri M30 2013 Isfahan Guidance school Cross-sectional 6−18 250 7
Rajabi G31 2004 Khuzestan High-school Cross-sectional 6−18 400 7
Soltanifar M32 2007 Tehran Elementary school Cross-sectional 6−18 1054 7
Jenaabadi H33 2010 Sistan and Baluchistan High-school Cross-sectional 6−18 125 6
Mogharab M34 2011 South Khorasan High-school Cross-sectional 6−18 450 7
Shahnazi M35 2008 East Azerbaijan Unclassified Cross-sectional 6−18 364 8
Turi A36 2015 South Khorasan High-school Cross-sectional 6−18 400 8
Shakibaei F20 2014 Isfahan Guidance school Cross-sectional 6−18 1606 7
Partoazam H37 2009 West Azerbaijan High-school Cross-sectional 6−18 216 9
Rostamzade Z38 2007 West Azerbaijan High-school Cross-sectional 6−18 3023 7
Kordi M39 2015 Khorasan-e Razavi High-school Cross-sectional 6−18 407 7
Ahangar K40 2012 Tehran Guidance school Cross-sectional 6−18 103 7
Sadeghian E41 2010 Hamadan High-school Cross-sectional 6−18 600 8
Habibpour Z42 2009 Isfahan High-school Cross-sectional 6−18 400 7
Sooky Z43 2010 Isfahan High-school Cross-sectional 6−18 762 8
Shams G44 2011 Yazd High-school Cross-sectional 6−18 909 7
Riahi F45 2017 Lorestan High-school Cross-sectional 6−18 600 8
Shabani Z46 2017 Ilam High-school Cross-sectional 6−18 340 8
Nooraliey47 2015 Hamadan High-school Cross-sectional 6−18 400 8
Ghorbanibirgani A48 2014 Khuzestan Guidance school Cross-sectional 6−18 1000 7
Bakhteyar K49 2018 Lorestan High-school Cross-sectional 6−18 1202 8
Shakibaei F50 2018 Isfahan Guidance school Cross-sectional 6−18 706 7
Javadi M51 2017 Qazvin High-school Cross-sectional 6−18 1040 8
Shivappa N52 2016 Tehran High-school Cross-sectional 6−18 300 8
Pirdehghan A53 2016 Yazd Guidance school Cross-sectional 6−18 700 8
Servatyari K54 2019 Kurdistan High-school Cross-sectional 6−18 370 7
Shaikhahmadi S55 2016 Kurdistan High-school Cross-sectional 6−18 595 7
Riahi F3 2022 Khuzestan Unclassified Cross-sectional 6−18 1028 7
Nazari H56 2022 Lorestan Unclassified Cross-sectional 6−18 1001 7
Salmanian M57 2020 all provinces of Iran Unclassified Cross-sectional 6−18 30532 9
Mohammadi MR58 2016 Tehran, Shiraz, Isfahan, Tabriz, and Mashhad Unclassified Cross-sectional 6−18 2051 8
Mohammadi MR58 2016 Tehran, Shiraz, Isfahan, Tabriz, and Mashhad Unclassified Cross-sectional 6−18 1067 8
Mohammadi MR58 2016 Tehran, Shiraz, Isfahan, Tabriz, and Mashhad Unclassified Cross-sectional 6−18 984 8
Ahmadpanah M59 2018 Hamadan Unclassified Cross-sectional 6−18 1025 7
Talepasand S60 2019 Semnan Unclassified Cross-sectional 6−18 1037 7
Khaleghi A61 2018 Tehran Unclassified Cross-sectional 6−18 2095 6
Alavi S62 2021 All provinces of Iran Unclassified Cross-sectional 6−18 30553 7
Safavi P63 2019 Chaharmahal and Bakhtiari Unclassified Cross-sectional 6−18 1038 7
Mohammadi MR64 2022 All provinces of Iran Unclassified Cross-sectional 6−18 356 8
Amirian H16 2022 Kermanshah Unclassified Cross-sectional 6−18 993 7
Sangouni AA19 2022 Khorasan-e Razavi Unclassified Cross-sectional 6−18 933 8
Abdollahi E18 2022 Rasht Unclassified Cross-sectional 6−18 617 7
Details are in the caption following the image
PRISMA flow diagram for included studies in the current meta-analysis. PRISMA, preferred reporting cases for systematics reviews and meta-analyses.

3.2 Prevalence of depression

The prevalence of depression in Iranian children and adolescents was 33.3% (95% CI: 27.3−39.2) (Figure 2). The most prevalence estimated using the Beak questionnaire (57.1% [95% CI: 50.2−64.0]) and the lowest was estimated using the K-SADS-PL (9.0 [95% CI: 4.0−13.6]). The prevalence of depression among females was more than among males (47.2% [95% CI: 35.4−58.9] vs. 30.5 [95% CI: 7.4−53.6]). Regarding the geographical region, the most and the lowest amount of depression was seen in the central with 41.7% (95% CI: 19.2−64.3) and southern region with 21.9% (95% CI: 14.2−29.6), respectively. The prevalence of depression in studies published before 2020 was more than in studies published after 2020 (37.6% [95% CI: 30.7−44.4] vs. 9.5% [95% CI: 2.3−16.7]). Also, this prevalence in studies with less sample size was higher than the studies with more sample size (Table 2).

Details are in the caption following the image
Forest plot for pooled estimation of depression among Iranian children and adolescents (the prevalence of depression in Iranian children and adolescents was 33.3% [95% CI: 27.3−39.2]).
Table 2. The pooled estimation of depression in Iranian children and adolescents according to different subgroups.
Variables Number of studies or records Sample size Estimation (95% CI) Q I2 T2
Tool
CDI 3 3525 17.7 (10.0−25.5) <0.001 99.1 0.0045
DASS 5 2194 27.7 (11.3−44.1) <0.001 99.0 0.0347
Beak 12 8489 57.1 (50.2−64.0) <0.001 97.6 0.0143
DSM 2 1734 18.1 (1.0−51) <0.001 99.7 0.0922
K-SADS-PL 13 73,772 9.0 (4.0−13.6) <0.001 99.4 0.0065
SCL 3 1955 36.6 (2.0−71.3) <0.001 99.7 0.0922
ZUNG 3 856 31.6 (20.7−42.6) <0.001 91.7 0.0086
Other 8 6546 47.9 (26.6−69.1) <0.001 99.7 0.0938
Sex
Female 14 9506 47.2 (35.4−58.9) <0.001 99.8 0.0494
Male 3 1557 30.5 (7.4−53.6) <0.001 98.7 0.0410
Both sex 32 88,026 27.4 (22.1−32.7) <0.001 99.8 0.0224
Publication year
Before 2020 41 37.6 (30.7−44.4) <0.001 99.8 0.0494
After 2020 8 9.5 (2.3−16.7) <0.001 99.7 0.0095
Geographical location
Central 8 9469 44.8 (23.1−66.4) <0.001 99.9 0.14
South 7 4421 25.2 (16.3−34.1) <0.001 99.6 0.008
North 18 12,530 36.3 (24.1−48.6) <0.001 99.8 0.07
West 10 7126 35.1 (24.0−46.3) <0.001 99.7 0.03
National 6 65,543 14.7 (9.2−20.2) <0.001 98.4 0.003
Sample size
≤500 21 8010 40.6 (30.1−51.1) <0.001 99.3 0.05
>500 28 91,079 27.9 (21.4−34.5) <0.001 99.9 0.05
Overall 49 99,089 33.3 (27.3−39.2) <0.001 99.8 0.03

3.3 Sensitivity analysis and meta-regression

According to sensitivity analysis results, the pooled estimation was not affected by any study. The effect of instrument type, study year, sample size, gender, and study location was assessed on pooled estimation. According to a simple meta-regression analysis, the effect of gender on pooled estimation was statistically significant (p:0.01) (Table 3). Figure 3 showed the estimated depression prevalence according to the study year. Considering this figure the prevalence of depression among children and adolescents showed a decreasing trend over time.

Table 3. The meta-regression results about the effect of different factors on heterogeneity.
Factors Coefficient Standard error t p > t 95% confidence interval
Instrument 0.01 0.02 0.38 0.71 −0.03 0.04
Year −0.01 0.01 −1.95 0.06 −0.02 0.00
Sample size 0.00 0.00 0.34 0.73 0.00 0.00
Gender −0.10 0.04 −2.59 0.01 −0.17 −0.02
Region −0.03 0.03 −0.95 0.35 −0.09 0.03
_cons 21.25 10.60 2.00 0.05 −0.13 42.63
Details are in the caption following the image
Effect of study year on estimated depression prevalence (the prevalence of depression among children and adolescents showed a decreasing trend over time).

3.4 Publication bias

According to the results of the funnel plot and Egger's (p = 0.001) and Begg's (p = 0.001) tests, there was a significant publication bias on the results (Figures 4-6).

Details are in the caption following the image
Funnel plot results on publication bias (there was a significant publication bias on the results of different studies).
Details are in the caption following the image
Eggers publication bias results (there was a significant publication bias on the results of different studies).
Details are in the caption following the image
Beggs publication bias results (there was a significant publication bias on the results of different studies).

4 DISCUSSION

Depression is one of the most prevalent mental health disorders among people, especially in children and adolescents.65 Determining the point prevalence in populations can provide very useful information for planning and developing prevention measures. Point prevalence is the proportion of the population with a disease or a specific outcome at a specific point in time.66 So due to the importance of the subject, the current study aimed to determine the point prevalence of depression in Iranian children and adolescents in a systematic review and meta-analysis study.

Our results showed that the prevalence of depression in Iranian children and adolescents was 33.4% (95% CI: 28.2−38.6). The most prevalence estimated using the Beak questionnaire (57.1% [95% CI: 50.2−64.0]) and the lowest was estimated using the K-SADS-PL (9.0% [95% CI: 4.0−13.6]). The prevalence of depression among females was more than among males (47.2% [95% CI: 35.4−58.9] vs. 30.5 (95% CI: 7.4−53.6]). Regarding the geographical region, the most and the lowest amount of depression was seen in the central with 41.7% (95% CI: 19.2−64.3) and southern region with 21.9 (95% CI: 14.2−29.6), respectively.

Our results showed that the prevalence of depression in Iranian children and adolescents was 33.4%. A systematic review study that was conducted using 10 studies in Australia and on 7650 participants between 10 and 24 years of age showed a 21.3% prevalence of depression in this country.1 Another study in China showed that 13.06% of primary and high school students experienced depressive symptoms.67 The prevalence of depression signs among adolescents in 26 low- and middle-income countries was 5.5%.68 Studies from other developing countries, especially in the Middle East, have reported different numbers for the prevalence of depression in children and adolescents, for example, the prevalence of these disorders in Saudi Arabia is 42.9% 69 in Qatar 34.5%,70 Turkey 26.6%, Egypt 15.3%, United Arab Emirates 17.5%, Iraq 35%, and Lebanon 26.6%.71-73 While the prevalence of these disorders in more developed countries such as Denmark (10%), China (9.5%), Brazil, and Norway (7%) was much lower.74, 75 Estimates of the prevalence of depression are different between different studies and in different countries, and this difference can be caused by the use of different measurement tools, different sample sizes, or different methodological approaches in measuring depression.76

Different studies used different tools to assess the presence of depression among children and adolescents. The estimated depression using different tools was not the same. Our results showed that the most prevalence of depression was estimated using the Beak questionnaire (57.1%) and the lowest was estimated using the K-SADS-PL (9.0%). This result is consistent with previous studies.77 The reason for the difference in the results obtained from different questionnaires or tools can be due to the different structures of the tools, different criteria of the tools to define depression, and also different cut points to determine these disorders. The validity and diagnostic value of depression screening tools can be different due to different factors such as the number of questions, the number of dimensions, and the time required to fill out the questionnaire. For example, shorter questionnaires that require less time to answer than longer questionnaires may provide different results in the same population.

Regarding the geographical region, the most and the lowest amount of depression was seen in the central with 41.7% (95% CI: 19.2−64.3) and southern region with 21.9%(95% CI: 14.2−29.6), respectively. The difference in the prevalence of depression in different regions was seen in previous studies.13, 78 An explanation for the difference is ethnicity and different coverage or access to mental health facilities in different regions.79 About the role of ethnicity, it can be mentioned that due to the existence of special traditions and customs in some ethnicities, the scope of people's activity is less and this creates suitable conditions for the occurrence of depression. Also, in the assessment of the distribution of psychiatrists and treatment centers, it can be found that the majority of facilities related to mental health are concentrated in the north of Iran, such as Tehran, and this unequal distribution can affect the prevalence and incidence of these disorders. Another point that can be one of the main factors in creating a difference in the prevalence of mental disorders in different regions is economic and social status so that based on the studies, these disorders are more common in less developed regions or poor economic status than other regions.80-82 In general, many health and treatment facilities can be seen in more developed areas, and the presence of these facilities makes it easier for people to access them. On the other hand, families living in more prosperous and developed areas mostly have higher education, which affects the interaction of families with their children and adolescents which can have an important role in the occurrence of mental disorders in children and adolescents.

According to our results, the prevalence of depression among females was more than among males (47.2% [95% CI: 35.4−58.9] vs. 30.5 [95% CI: 7.4−53.6]). This finding is similar to previous studies.83, 84 The reason for the higher prevalence of mental disorders in girls is not well known.85 But part of this difference can be caused by boys' concealment of mental problems and not expressing them so that girls express the problem, while this issue does not apply to boys.86 Also, the role of physiological and biological factors should not be ignored, because girls are usually more sensitive than boys and are more affected by surrounding events.85, 87 Previous studies indicate significant gender differences in depression-related gene expression in men and women, which may be the reason for the disparity in the prevalence and pathobiology of the disease between men and women.88 Also, Hormonal factors are among the most effective factors in the occurrence of mental disorders in women. Considering that the peak onset of depression disorders in women coincides with their reproductive years, hormonal risk factors may play an important role in depression. Estrogen and progesterone have been shown to affect the neurotransmitter, neuroendocrine, and circadian systems involved in mood disorders. It is a fact that women may experience mood disorders associated with the menstrual cycle, such as premenstrual dysphoric disorder (PMDD). PMDD refers to a mood disorder that occurs before the menstrual cycle and is characterized by symptoms of depression and moodiness and refers to the relationship between female sex hormones and psychological disorders.89-91

Our results showed that the prevalence of depression in studies published before 2020 and a sample size of less than 500 was more than in the studies published after 2020 and a sample size of more than 500 cases. This difference can be due to the different quality of the studies, such as the different sample sizes and the way the samples were selected. For example, the selection bias in studies with few sample sizes can affect results and lead to overestimation in the determined prevalence.

4.1 Limitations of the study

The current study had some limitations which include the presence of significant heterogeneity between different studies. In general, different studies were conducted in different populations with different cultural characteristics, and this variation can affect the pooled estimate. Also, the use of different tools to measure the prevalence of depression by different studies was another important factor that should not be ignored. Also, the lack of information about the severity of depression in many studies was another limitation of the current study. The lack of separation between adolescents and children in primary studies was one of the other limitations of the present study.

5 CONCLUSION

The results of the present study indicated a high prevalence of depression in Iranian children and adolescents (33%). Also, the prevalence of depression among girls was higher than that of boys (47.2% vs. 30.5%). The high prevalence of depressive disorders in children emphasizes the importance of prevention measures for these disorders. Therefore, health policymakers should pay special attention to the implementation of prevention programs such as education for children and their parents to improve their level of mental health as well as empower them to deal with critical situations.

AUTHOR CONTRIBUTIONS

Maedeh Bazargan: Conceptualization; data curation; formal analysis; investigation; methodology; project administration; supervision; validation; visualization; writing—original draft; writing—review and editing. Akram Dehghani: Data curation; investigation; methodology; project administration; validation; visualization; writing—original draft; writing—review and editing. Mohammad Arash Ramezani: Data curation; investigation; methodology; project administration; validation; visualization; writing—original draft; writing—review and editing. Alireza Ramezani: Data curation; investigation; methodology; project administration; validation; visualization; writing—original draft; writing—review and editing.

CONFLICT OF INTEREST STATEMENT

The authors declare no conflict of interest.

TRANSPARENCY STATEMENT

The lead author Maedeh Bazargan affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.

DATA AVAILABILITY STATEMENT

All data relevant to the study are included in the article.

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