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Erschienen in: BMC Psychiatry 1/2023

Open Access 01.12.2023 | COVID-19 | Research

The prevalence of violence and its association with mental health among the Iranian population in one year after the outbreak of COVID-19 disease

verfasst von: Koorosh Kamali, Azam Maleki, Seyed Abbas Bagheri Yazdi, Elham Faghihzadeh, Zarrintaj Hoseinzade, Marzieh Hajibabaei, Seyedeh Elham Sharafi, Ahmad Ali Noorbala

Erschienen in: BMC Psychiatry | Ausgabe 1/2023

Abstract

Background

COVID-19 spread between and across nearly every country, with considerable negative health consequences. The current study aimed to determine the prevalence of violence and its association with mental health among Iranians older than 15 years in 2020.

Methods

Data was collected through National Mental Health Survey on 24,584 Iranians older than 15 years in 2020. were analyzed to determine the prevalence of violence and its association with mental health. Multi-stage sampling method was used, and data on demographic characteristics and domestic-social violence and mental health (GHQ-28) were collected. Data analysis was administered using descriptive statistics and a chi-square test at a 95% level.

Results

The mean age of participants was 44.18 ± 16.4 years. The overall prevalence of domestic and social violence was 11.4% and 5.5%, respectively. Verbal violence was the most common type; with 61.8% and 66.8% for domestic and social violence, respectively. A suspected case of mental disorder, female gender, being younger than 25 years, living apart together, unemployment, low education, and history of COVID-19 infection presented a significant association with domestic and social violence (p > 0.05).

Conclusion

In comparison to the previous study in 2015, the prevalence of violence has increased. Therefore, domestic and social violence are the social concerns of Iranian society, indicating the necessity of appropriate interventions, particularly for those suspected of mental disorders and young women with low education levels.
Hinweise

Publisher's note

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Abkürzungen
VAW
Violence against women
USA
The United States of America
COVID-19
Coronavirus disease 2019
GHQ
General Health Questionnaire
WHO
World Health Organization

Background

Violence refers to a wide range of behaviors, ranging from humiliation, threats, swearing, and assault to property damage and murder [1]. Violence against women (VAW) violates women's human rights with a severe impact on victims, families, and society [2]. Domestic violence is one of the most common forms of violence against women worldwide and includes physical, financial, and sexual violence as well as emotional and psychological abuse [3].
Violence against women in one study conducted by Ahmadi et al. 2007 was 35.7% and VAW in women with mental health disorders was 3.5 times more than the healthy people [4]. A systematic review of the prevalence of domestic violence against women reported a rate of 48.87% in 2015 [5]). Also, Haj Ansari et al. (2017) reported a prevalence of 66% [6]. A National Study on Mental Health, conducted by Noorbala et al. (2015), reported a prevalence of 23.08% and 8.7% for domestic and social violence, respectively [7], similar to other developing countries [8]).
Until the 2000s, domestic violence was mainly a gender-based issue (i.e., only against women); however, violence against men is also an important issue [9]. Several factors have been identified as potential causes of domestic violence, including economic challenges, sexual problems, alcohol and drug abuse, conflict over parenting, history of child abuse, divorce, and forced marriage [3, 10, 11]. Despite, legalizing the gender change process in Iran, transsexuals still have a high level of discrimination, violence, and suicidal behavior. It shows that these people are exposed to all kinds of threats without sufficient support from their families and society [12]. The experience of sexual violence among Iranian prostitutes indicates an increase in the prevalence of lifelong sexual violence. Also, having a history of drug use, engaging in anal sex, engaging in group sex, having a high number of partners, recent unstable housing, and being incarcerated have increased the likelihood of experiencing sexual violence [13]. Examining the challenges and facilitating factors of creating an interpersonal violence registration system from the perspective of stakeholders shows that the most important challenges include insufficient reporting of victims due to financial problems, as well as psychosocial barriers and structural barriers such as organizational barriers and methodological challenges [14].
Low mental health is also a major contributor to violence; women who report higher levels of domestic violence often suffer from higher levels of psychological distress, anxiety, depression, and loss of emotional/behavioral control than their counterparts [11]. COVID-19 spread between and across nearly every country, with considerable negative health consequences. The World Health Organization (WHO) warned its members that quarantine and social distancing could increase VAW. Regarding the economic and social consequences of COVID-19, the occurrence of VAW is potentially higher than in previous catastrophic events [15]. Yari et al. (2020) reported that during the early COVID-19 outbreak, the prevalence of domestic violence against Iranian women aged 19 to 65 years old was moderate by 57.2% and severe by 26.1% [3]. In addition, the prevalence of violence increased from 54.2%, before the outbreak, to 65.4% [16], indicating the potential role of COVID-19 consequences in domestic violence.
Evidence indicates an increased prevalence of social violence during the COVID-19 outbreak, while street quarrels considerably declined following imposed restrictions [17, 18]. As several factors contribute to violence occurrence and the COVID-19 outbreak began more than a year ago, which is relatively enough to study its social, economic, and public health consequences, it seems that investigating the prevalence of violence and factors contributing to its occurrence in Iran would provide valuable information. Hence, the current study aimed to investigate the prevalence of violence and its association with mental health among the Iranian population one year after the outbreak of COVID-19 disease.

Methods

Data collected through National Mental Health Survey on 24,584 Iranians older than 15 years from January to February 2020 were analyzed to determine the prevalence of violence and its association with mental health.

Participants

Inclusion criteria consisted of an Iranian population upper than 15 years old, fluency in the Persian language, and volunteering to participate in the study. All individuals living in a house were considered as the study population. Noteworthy, commercial centers, public organizations (e.g., schools and hospitals), guests, or non-Iranians, and incomplete questionnaires were excluded.
In the current study violence data was derived from the National Mental Health Survey [19]. Assuming the prevalence of psychiatric disorders at 30% (P = 0.3), the first type error at 0.05, the accepted error at 0.04, and the effect of cluster sampling equal to 1.6, the sample size for each province was calculated as 825 individuals. Considering 31 provinces, the total sample size was 25,575 individuals.

Sampling method

Multi-stage sampling was used in this study regarding the high penetration of telephones in the country and the lack of a standard protocol to perform surveys during the COVID-19 pandemic. Initially, each province was considered as a cluster (n = 31 provinces); then, the sample size of each province was determined based on the statistical population. Afterward, a series of phone numbers, either landline or cellphone, were selected using predefined codes of each province capital by random sampling technique. Nearly two-thirds of subjects were selected using the mobile phone number, and the rest using the landline. After generating landline and cell phone numbers (including all operators) for each provincial capital city (and affiliated villages), the interviewers randomly completed the questionnaires by observing the age and gender ratios. About two-thirds of the samples were assigned to cell phones, and the others were assigned to landlines. Most of the telephone interviews were conducted in Farsi; however, Kurdi and Azari were also used in some provinces. Data supervision and control were performed in parallel. The overall response rate was 65%( Fig. 1).

Data Collection

Data on demographic information, domestic-social violence, and mental health (GHQ-28) were collected using telephone interviews. The demographic questionnaire contained information on age, gender, marital status, employment, residence area, COVID-19 infection (the interviewee and the family member), infection duration (if infected with COVID-19), and severity of COVID-19 infections.

Violence Questions

We used the self-designed questionnaire to assess violence that has been used in a previous national study in 2015 [7]. This section of the questionnaire was measured and standardized by a pilot study. The validity and applicability of the questionnaire were evaluated likewise. To evaluate the reliability of the questionnaire, the test–retest method (one week after the initial implementation) was used on 250 people. The Spearman correlation coefficient was 0.8966. The validity of the content of the questions was evaluated by a group of experts in behavioral sciences, statistics, and epidemiologists.
The items were to evaluate the level of exposure to domestic and social violence during the past month. Each dimension of domestic and social violence contains two areas: physical and verbal. The formerly included consequences of physical violence (bruising, rupture, bleeding, fractures, and dislocation) and physical violence with no consequence (Pushing, slapping, and kicking). The latter contained abusive language. The frequency of domestic and/or social violence was evaluated using yes, no, or do not know items; while, the type of violence was evaluated using yes or no items.

General Health Questionnaire-28 items (GHQ-28)

The GHQ-28 was used to screen the mental health of participants. This questionnaire, initially developed by Goldberg and Hillier (1979), contains four subscales of Somatic symptoms (items 1–7), anxiety/insomnia (items 8–14), social function (items 15–21), and depression symptoms [2026]. The items are scored on a four-point Likert scale, ranging from never (one) to much better than usual (four). Positive items are reverse-scored. The traditional method was used to calculate the total score of GHQ; items were scored as 1–1-0–0, and the total score ranged from zero to 28. A total score higher than six and a score higher than two for each subscale indicate distress symptoms. Noorbala et al. (2008) confirmed the validity and reliability of the Persian version of GHQ [27].

Data analysis

Description of data was administered using descriptive statistics (frequency, percentage, mean, and standard deviation). To calculate the national prevalence of violence, weighting was performed according to the population of each province. A chi-square test was used to study the relationship between all demographic variables and violence through the SPSS 16 software (SPSS Inc, Chicago, USA). Statistical significance was considered at the p-value < 0.05.

Results

A total of 25,200 questionnaires were filled, of which 616 questionnaires were removed due to partial filling. Hence, data from 24,584 questionnaires were analyzed. The mean age of participants was 44.18 ± 16.47 years. Most participants were living in urban areas (76.25%), male (50.07%), aged 25 to 44 years (37.61%), educated up to Diploma and Bachelorette (26.38%), employed (40.32%), and married (73.36%). Concerning the type of residence area, most participants owned a house (79.5%) (Table 1).
Table 1
Distribution of demographic status of participants
Demographic factors
Sample size
N
%
Gender
  Male
12,309
50.07%
  Female
12,275
49.93%
Residency
  Urban
17,860
72.65%
  Rural
6724
27.35%
Age groups
  15–24
3373
13.73%
  25–44
9242
37.61%
  45–64
8528
34.71%
  ≥ 65
3429
13.95%
Marriage status
  Married
17,948
73.36%
  Widowed
1306
5.34%
  Divorced
313
1.28%
  Single
4837
19.77%
  Separated
61
0.25%
Education
  Illiterate and Read &Wright
4380
17.90%
  Elementary & secondary
5644
23.07%
  Diploma
6172
25.22%
  Above diploma &Bachelor
6454
26.38%
  Master and above
1818
7.43%
Job status
  Employed
9860
40.32%
  Unemployed
1553
6.35%
  Student
2071
8.47%
  Housewife
7963
32.56%
  Retired & Pensioner
2794
11.43%
  Unable to work
214
0.88%
In addition, 14.1% of participants had a history of COVID-19 infection, mostly minor infection (51.7%). The hospitalization period due to COVID-19 ranged from one to three months (52.1%). The rate of COVID-19 infection among family members and other relatives was 32.3%; while 13.2% reported losing a loved one due to COVID-19 infection (Table 2).
Table 2
Distribution of Covid-19 infection in their family
Variable
Sample size
N
%
Infected by Covid-19
 Yes
3624
14.7
 No
20,958
85.3
Intensity of the infection
 Mild
1868
51.7
 Moderate
1099
30.4
 Severe
646
17.9
Time passed since the infection (month)
 < 1
128
3.6
 1–3
1863
52.1
 4–6
866
24.2
 7–9
307
8.6
 10–12
409
11.4
Family members and other relatives infected by Covid-19 disease
 Yes
7928
32.3
 No
16,643
67.7
Losing a loved one due to Covid-19 infection
 Yes
1050
13.2
 No
6884
86.8

Prevalence of violence and its association with mental health

The overall prevalence of domestic and social violence in those older than 15 years was 11.4% and 5.5%, respectively. Verbal violence was the most common type; with a prevalence of 61.8% and 66.8%, respectively, for domestic and social violence. Nearly 29.7% of those older than 15 years were suspected of mental disorders. Violence was significantly associated with mental health; so, the prevalence of domestic (21.6%) and social violence (9.6%) in cases suspected of mental disorder was considerably higher than in healthy subjects (p = 0.001). In addition, they experienced the highest rate of domestic violence (Table 3).
Table 3
The Prevalence of domestic and social violence and its relationship with mental health among participants
Violence
Yes
No
I don't know
Mental health status
Frequency
Percentage
Frequency
Percentage
Frequency
Percentage
GHQ ≥ 6
GHQ < 6
P value
Yes
No
Yes
No
Total score
Domestic
2808
11.4
21,689
88.3
79
0.3
21.60
78.40
7.60
92.40
 < 0.001
Total score
Social
1350
5.5
23,148
94.2
65
0.3
9.60
90.40
4.10
95.90
 < 0.001
Type of domestic violence
physical violence with consequence
49
1.9
2475
98.1
-
 
2.70
97.30
1.00
99
0.002
physical violence with no consequence
289
11.5
2235
88.5
-
 
13.70
86.30
8.70
91.30
 < 0.001
Verbal
1561
61.8
963
38.2
-
 
63.20
36.80
59.80
40.20
0.086
Type of social violence
physical violence with consequence
61
5
1157
95
-
 
7.40
92.60
2.70
97.30
 < 0.001
physical violence with no consequence
149
12.2
1069
87.8
-
 
14.70
85.30
10.20
89.80
0.017
physical violence with consequence
814
66.8
404
33.2
-
 
65.30
34.70
67.70
32.30
0.388

Social and economic factors related to domestic violence

The highest percentage of domestic violence was reported in women (12.1%), those living in rural areas (11.6%), aged 15 to 24 years (13.5%), those living apart together (19.6%), primary education (up to middle school degree; 12.7%), and unemployed subjects (16.4%). The association between demographic characteristics and domestic-social violence is provided in Table 3. According to the results, variables of gender, age, marital status, employment, and education were significantly associated with domestic violence. Meanwhile, the residence area presented a reverse association (Table 3).

Social and economic factors associated with social violence

The highest percentage of social violence was reported in men (8.6%), those living in urban areas (5.9%), aged 15 to 24 years old (8.1%), divorced (11.2%), with a university degree (6.9%), and employed (8.6%). Variables of gender, age, residence area, marital status, employment, and education showed a significant association with social violence (Table 4).
Table 4
Distribution of domestic and social violence in term of economic and social characteristics of participants
 
Violence
Variables
Domestic Violence
Social Violence
Frequency
(%)
P value
Frequency
(%)
P value*
Gender
  male
1324
10.8
 > 0.003
1055
8.6
 > 0.001
  female
1484
12.1
295
2.4
Residency
  Urban
2026
11.3
0.424
1045
5.9
 > 0.001
  Rural
782
11.6
305
4.5
Age groups
  15–24
455
13.5
 > 0.001
273
8.1
 > 0.001
  25–44
1198
13
659
7.1
  45–64
872
1.2
354
4.2
  ≥ 65
282
8.2
63
1.8
Marriage status
  Married
2040
11.4
 > 0.001
839
4.7
 > 0.001
  Widowed
126
9.6
26
2
  Divorced
53
16.9
35
11.2
  Single
12
19.7
5
8.2
  Separated
570
11.8
441
9.1
Education
  Illiterate and
450
10.3
 > 0.001
94
2.1
 > 0.001
  Read &Wright
719
12.7
309
55
  Elementary & secondary
742
12
396
6.4
  Diploma
715
11.1
416
6.4
  Above diploma &
174
9.6
126
6.9
Job status
  Bachelor
1066
10.8
 > 0.001
850
8.6
 > 0.001
  Master and above
254
16.4
132
8.5
  Employed
256
12.4
135
6.5
  Unemployed
983
12.3
142
1.8
  Student
32
15
8
3.7
  Housewife
206
7.4
78
2.8
*chi-square test

Association between COVID-19 infection and violence

A significant association was found between COVID-19 infection and social violence; so that violence was more prevalent in subjects infected with COVID-19 (15.6%), those with a history of COVID-19 in family members (14%), and losing a loved one due to COVID-19 (15.7%) than those with no history of COVID-19 infection. Nevertheless, social violence was only significantly associated with the status of COVID-19 infection (Table 5).
Table 5
Distribution of domestic and social violence in term of affected by Covid-19 Disease
 
Domestic Violence
Social Violence
Frequency
(%)
P value
Frequency
(%)
P value
Covid-19 infection
  yes
565
15.6
 > 0.001
245
6.8
 > 0.001
  no
2243
10.7
1105
5.3
A history of Covid-19 in family members
  yes
1107
14
 > 0.001
450
5.7
0.280
  no
1698
10.2
898
5.4
Losing a loved one due to Covid-19
  yes
165
15.7
0.035
71
6.8
0.101
  no
943
13.7
381
5.5

Discussion

In this study, data collected through National Mental Health Survey were analyzed to investigate the prevalence of violence and its association with mental health. Domestic and social violence prevalence among those older than 15 years was obtained as 11.4% and 5.5% in one month. With a prevalence of 61.8% and 66.8% for domestic and social violence, respectively, verbal violence was the most common type. Female gender, being younger than 25 years old, living apart together, unemployment, and low education level were significantly associated with domestic and social violence. The National Study of Mental Health, conducted by Noorbala et al. (2015), reported a one-year prevalence of 23.08% for domestic violence, 23.65%, and 22.52% for males and females, respectively. A prevalence of 8.7% is reported for social violence; 12 and 4.14% for males and females, respectively [7].
The observed reduced prevalence of violence, as compared to 2015, should not be interpreted as a declining trend because of the increased number of contacts with social emergency services since the onset of the COVID-19 outbreak and the negative consequences of the pandemic, including social and economic, indicate the increased occurrence of violence [28]. Noteworthy, their study investigated the point prevalence (one month) of violence, while our study reported a one-year prevalence. Hence, the simple comparison of these two studies indicates a declining trend.
Although the government has devised various solutions over many years to deal with and reduce the problem of violence in different social groups, it is not enough and this problem is still prevalent, especially in the villages. Women's ignorance of their rights, which are stated in the constitution and civil laws, is the main factor of mental and physical vulnerability of people [20]. Although domestic violence is a global phenomenon, it can have different definitions and rates of occurrence depending on the culture in which it occurs. In addition, unlike in Western countries where it is relatively easy for researchers to obtain and access information on various aspects of family violence, it is a big challenge in some countries, including Iran, due to inaccurate information [14]. It is necessary for the criminal justice system at the level of legislation and implementation, using the experiences of other countries, to expand appropriate measures to ensure the right security of people against crime and victimization and to protect their right to aggression.
Several studies investigated domestic and social violence in Iran before and after the COVID-19 outbreak. A meta-analysis of studies performed before the COVID-19 outbreak reported a prevalence of 52% for psychological violence against women, 37% for physical violence, and 34% for social violence. In addition, the highest rate of violence against women is reported for those aged 20 to 30 years old (48.5%), and domestic violence against housewives is reported as 65.3% [21] which both domestic and social violence is higher than that of the present study. The observed difference can be attributed to the type of studies. Studies on VAW reported a prevalence of 2.3 to 73.78% for different developing countries. Physical and emotional-psychological violence prevalence ranges from 61.6 to 11.54% and 7.8 to 84.3%, respectively. Prevalence of sexual, economic, and verbal violence is reported as 0.8–58.8%, 13.7–43.7%, and 33.21–86.1%, respectively. The most common causes of VAW are structural, including early marriage and husband addiction, either drugs or alcohol [8].
Few studies have investigated the prevalence of violence since the COVID-19 outbreak in the general population of Iran. Yari et al. (2020) reported that during the early COVID-19 outbreak, the prevalence of domestic violence against Iranian women aged 19 to 65 years old was moderate by 57.2% and severe by 26.1%. They reported higher rates of psychological and sexual violence. The prevalence of domestic violence was higher among women younger than 25 years and illiterate women [3]. A study intended to compare the prevalence of domestic violence among women aged 18 to 60 years old before and after the COVID-19 outbreak reported an increasing trend (i.e., from 54.2 to 65.4%). Furthermore, 25.5% of women had experienced domestic violence for the first time in their life after the COVID-19 outbreak, with a higher rate of psychological violence (14.7%) in comparison to physical (7%) and sexual violence (8.4%). The prevalence of domestic violence in women older than 50 years, housewives, illiterate women, and low-income families was significantly higher than in other groups [16] Regardless of the administered tool to measure domestic violence in these two studies, it seems that, based on the present study's findings, the prevalence of violence has declined since the early months of the COVID-19 outbreak. However, concerning the variable of age and its association with domestic violence, the findings of this study are not in line with Fereydony's study; while, Yari et al. reported similar results. The observed difference can be attributed to the study population and administered tool. A study conducted in Portugal on cases older than 16 years old reported similar results; an overall prevalence of 13.7% for violence. In contrast to the findings of this study, the Portugal study reported higher rates of psychological violence (13%) in comparison to sexual and physical violence [22].
Women and children are among the most vulnerable populations. Violence against women and children has a long history worldwide, regardless of social, economic, and cultural class or ethnicity, or race [23]). Since the onset of the COVID-19 outbreak, stay at home policy has been emphasized by several countries, which according to the evidence, is accompanied by an increased occurrence of violence worldwide. For instance, a review study reported that its prevalence has increased by 48% in the USA in comparison to before the COVID-19 outbreak [24]. Therefore, countries should be aware that encouraging people to respect quarantine to cope with SARS-CoV-2 infection has turned into a paradox in terms of domestic violence. Women who have to spend time at home may experience social isolation, leading to the inability to seek help [25]. Meanwhile, the WHO warned its members that quarantine, isolation, and social distancing could increase violence against women [2]. Increased occurrence of VAW, particularly among younger women, indicates a severe barrier to improving gender inequalities. In other words, these findings should sound the alarm regarding the need for planning and introducing appropriate and in-time interventions to address its consequences.
Violence is often associated with increased psychological disorders [26]. Also, prolonged exposure to stressors in women with a history of domestic violence is associated with an increased prevalence of post-traumatic stress disorder and depression. Meanwhile, increased resilience is reported as an adjusting factor in coping with these women's psychological disorders [29]. According to the findings, the prevalence of domestic and social violence in cases suspected of mental disorders was significantly higher than in healthy subjects.
In a study by Mengo et al., 68.5% of women suffering from mental disorders experienced various levels of physical violence, and 71.4% reported sexual violence, which is higher than the rates of the present study [30]. The observed difference can be attributed to the impact of cultural factors and how each individual interprets violence in various communities. In addition, it should be noted several cases of violence goes unreported.
Many factors are reported to affect the increased occurrence of violence following catastrophes. For instance, such events may cause reduced marital satisfaction and increased aggressive behaviors, leading to declined intimacy. In addition, stressful events following a catastrophe result in economic disruption or uncertainty, or psychological disorder, leading to an increased prevalence of aggressive behaviors of the partner. Furthermore, access to external support, including family members and friends, or professional services, which are highly useful for victim women, is often declined [31, 32]. Therefore, measures are needed to address the negative consequences of quarantine and stay-at-home policies.
Few studies investigated the prevalence of social violence during the COVID-19 outbreak in Iran. On the other hand, in some countries, including Australia, a considerable decline in social violence, such as sexual abuse and quarrel, is reported following the stay-at-home policy compared to the previous year [12]. Meanwhile, the rate of domestic violence did not change. Similar results are reported in Sweden and USA [18, 33]. Nevertheless, a study reported a slight increase in vehicle theft during the COVID-19 outbreak [34]. In the same vein, the findings of this study also indicated a lower prevalence of social violence than domestic violence. There was a significant association between COVID-19 infection and domestic and social violence. COVID-19 infection and its social stigma may pave the way for domestic and social violence [35], indicating the necessity of increased attention from planners and health policymakers.

Strengths

Following a population-based design and selecting a high number of subjects using a random sampling technique are among the strengths of this study. In addition, the prevalence of violence in both sexes is considered. Last but not least, participants are selected from all provinces of the country.

Limitations

In this study, data are collected using the self-report method by telephone interview. Also, only physical and verbal dimensions of violence are investigated. Regarding the importance of other dimensions of violence, including physical and mental, and its severe consequences, particularly during the COVID-19 outbreak, caution should be taken when generalizing the results.

Conclusion

It can be concluded that the prevalence of social violence is lower than domestic violence but it seems that the prevalence of violence has increased in Iran since 2014. Therefore, domestic violence is a social emergency in the Iranian community still. This study only investigated physical and verbal violence, and other types of violence should also be considered to extend our knowledge, particularly in areas with high rates of violence.

Implications of the study

The findings of this study, in addition to obtaining basic information about the prevalence of domestic and social violence and its relationship with the mental health of the Iranian population one year after the outbreak of the COVID-19 epidemic, have also revealed some related factors. It can be used to design appropriate interventions, particularly among those suspected of psychological disorders, women, living apart together, unemployed, younger than 25 years, and with low education.

Acknowledgements

The results are derived from a research project registered by the Industry Collaboration Center of the Tehran University of Medical Sciences (code: 48260). The authors extend their sincere gratitude to Dr. Reza Malekzadeh, Deputy Minister of Research and Technology of the Ministry of Health and Medical Education, Dr. Shahin Akhundzadeh, vicegerent of Dr. Reza Malekzadeh, Industry Collaboration Center and pooling agency of Academic Center for Education, Culture and Research, and all participants from various provinces of the country.

Declarations

The current study is a part of a national project on the mental health of Iranians older than 15 years which was approved by the Research Ethics Committee of the Tehran University of Medical Sciences (ethics code: IR.TUMS.MEDICINE.REC.1399.324). Due to the COVID-19 outbreak, informed consent was obtained from all participants, legal guardians of illiterates, and parents of minors (< 16yrs) before entering the study. In addition, they were informed that their participation is voluntary and that the data will remain confidential and can withdraw at any time. All methods were carried out following the protocol of the regional ethical research committee and with the declaration of Helsinki 1964.
Not applicable.

Competing interests

No potential conflict of interest relevant to this article was reported.
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Metadaten
Titel
The prevalence of violence and its association with mental health among the Iranian population in one year after the outbreak of COVID-19 disease
verfasst von
Koorosh Kamali
Azam Maleki
Seyed Abbas Bagheri Yazdi
Elham Faghihzadeh
Zarrintaj Hoseinzade
Marzieh Hajibabaei
Seyedeh Elham Sharafi
Ahmad Ali Noorbala
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Schlagwort
COVID-19
Erschienen in
BMC Psychiatry / Ausgabe 1/2023
Elektronische ISSN: 1471-244X
DOI
https://doi.org/10.1186/s12888-022-04444-7

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