Skip to main content

Mental disorder and PTSD in Syria during wartime: a nationwide crisis



Syria has experienced war since 2011, leaving over 80% under the poverty line and millions displaced. War and its retaliations have significantly impacted the mental health of Syrians. This study evaluates the post-traumatic stress disorder (PTSD), and the severity of the mental distress caused by war and other factors such as low social support. This study also evaluates other variables and compares the findings with those of multiple studies on Syria and refugees.


This is a cross-sectional study that included people who lived in Syria in different governorates. Online surveys were distributed into multiple online groups and included the Kessler 10 (K10) scale which screens for anxiety and depression, the Screen for Posttraumatic Stress Symptoms (SPTSS) tool, the Multidimensional Scale of Perceived Social Support, and questionnaires on demographic and war-related factors.


Our study included 1951 participants, of which, 527 (27.0%) were males and 1538 (78.8%) between the age of 19 and 25. Among participants, 44% had likely severe mental disorder, 27% had both likely severe mental disorder and full PTSD symptoms, 36.9% had full PTSD symptoms, and only 10.8% had neither positive PTSD symptoms nor mental disorder on the K10 scale. Around 23% had low overall support. Half of the responders were internally displaced, and 27.6% were forced to change places of living three times or more due to war. Around 86.6% of the responders believed that the war was the main reason for their mental distress. Those with high SPTSS and K10 scores were found to take more days off from work or school due to negative feelings and having somatic symptoms. Moreover, the number of times changing places of living due to war, educational level, and being distressed by war noise were the most prominent factors for more severe PTSD and mental distress. No differences in PTSD and mental disorder prevalence were noted in participants living in different governorates or among different types of jobs. A strong significant correlation (r = 0.623) was found between SPTSS and K10 scores.


The conflict in Syria has left the population at great risk for mental distress which was higher compared to Syrian refugees elsewhere. Many measures with an emphasis on mental health are needed to help the people against a long-term avoidable suffering.

Peer Review reports


Warfare has acute and chronic effects on the community and is considered one of the most mentally stressful events that can be experienced by someone. The indirect effects of warfare can be disastrous as they can continue for years after the settling of the conflict. The aftermath of war is challenging, from shortage of resources such as food, water, fuel and medical equioment, to displacement and disease outbreak [1]. Since the beginning of the Syrian conflict in 2011, many people have been wounded, 511,000 have died [2], more than 5.6 million have been externally displaced [3], and over 6.2 million have been internally displaced [4]. In 2014, it was estimated that 82.5% of Syrians lived below the poverty line. Syria’s deteriorating economy presents a challenge in terms of resource allocation to the health sector as only 1.5 hospital beds and 1.22 physicians were available for every1000 people, making mental medical conditions almost impossible to treat [5]. Moreover, the economy and health sector are much worse at the time of this study.

The damage to the medical infrastructure and the loss of medical staff have greatly affected the health system in Syria. Mental health in Syria has been neglected for decades, with no efforts to reduce the stigma on mental health, and few psychologist and psychiatrist available. This has caused the mental health sector to suffer greatly compared with other medical specialties during the war. The education sector has also been significantly injured after many facilities being destroyed by the conflict with the destruction of the Syrian social structure, most children had to grow up in a war-burdened environment that scarred their normal development [6]. These disturbances and loss of both social and emotional support have led to patterns of severe mental trauma [7] which left many people paralysed and incapable of facing everyday challenges, mainly due to years, if not decades, of severe mental distress and high financial burdens threatening several generations. Furthermore, the post-traumatic effects will have a longer-lasting impact which may continue for several years after the conflict resolves [8,9,10].

Many Syrians have fled the country and sought asylum in different countries. Although most of them lived in a relatively safer environment after facing grave dangers to reach their destination, they suffered mentally as they were far from their homeland, family members, friends, and usual work environment, all while experiencing bad living conditions in case they were living in camps. People who left the conflict zone have also developed mental disorders that could be different from those who have stayed [11]. Furthermore, several studies indicate that mental distress is higher in conflict areas. This study evaluates mental disorders, post-traumatic stress disorder (PTSD), and the amount of social support among Syrians who remained in Syria as well as the relvevant factors affecting the mental health in war time. This study used self-reported questionnaires due to the lack of funding allocated to medical research in Syria and unavailable resources for proper diagnosis [12,13,14,15,16]. This study also assessed other variables such as demographics and those which are relateed to war and compared them with other studies for a better evaluation of the mental disorders among Syrians and refugees.



This is a cross-sectional study conducted in Syria from 3/3/2019 to 24/3/2019. Online surveys in Arabic were distributed to participants from several Syrian governorates. Only participants who lived in Syria at the time of the survey and answered the demographic and K10 questions were enrolled. The questionnaires were posted online twice each day at 10 AM and 10 PM in social media groups with different topics such as educational, cuisine, market, entertainment, cultural, musical etc. Any participant who spoke Arabic, lived in Syria at the time of the study, and answered the required questions was included.

Consent and approval for study

The informed consent was taken online for using and publishing the data before carrying on with the survey. Confidentiality was assured and no identity-revealing questions were asked. This method was approved by Damascus University.

Our study protocol and ethical aspects were reviewed and approved by Damascus University deanship in Damascus, Syria.


Socioeconomic status (SES)

There is no suitable validated SES measurement to use in the Syrian population as we cannot ask directly about the monthly salary due to cultural norms that make it inappropriate. In addition, there are huge differences between the normal wage in Syria and other countries. Therefore, SES was assessed through three criteria; 1) the level of education, 2) the profession of the participant or that of the working family member/partner, 3) the monthly income adequacy of the individual who is the main source of income in the household. SES was then divided into four different categories: lower, upper-lower, middle, and upper.

Screening for mental disorder

Kessler 10 is typically used in screening surveys to measure mental distress [17,18,19]. An Arabic validate version of the K10 + LM questionnaires was used [17, 18]. It is a self-reported measure that assesses anxiety and depression symptoms over the previous 4 weeks. It contains ten questions with scores ranging from 10 to 50. Subjects who score under 20 are likely to be well, those who score 20–24 could have a mild mental disorder, those who score 25–29 have moderate mental disorder, and finally those who score 30 and above have a severe mental disorder. Each question has five possible responses with scores ranging from 1 to 5.

Social support

An Arabic version of the Multidimensional Scale of Perceived Social Support (MSPSS) was used to measure the social support that the individual receives from their social network, including friends, family, and the significant other [20, 21]. The measure contained 12 questions with four questions for each source. Support received was then divided into three categories: low support with a mean score of 1 to 2.9, moderate support with a mean score of 3 to 5, and finally high support with a mean score of 5.1 to 7. The scores and measures were validated in Arabic [21]. The questionnaire and its translation are available [22].


The Screen for Posttraumatic Stress Symptoms (SPTSS) tool was used; a self-reporting screening method for PTSD that is very concise, suitable, easy to understand and does not focus on specific traumatic events. SPTSS is not meant to be a definitive diagnostic tool for PTSD. It measures three PTSD clusters over the previous 4 weeks; avoidance with 7 items, hyper-hyper-arousal with 5 items, and re-experience with 5 items. Each question has 5 potential responses, ranging from “Not at all” to “More than once every day”, with scores ranging from 0 to 4. However, when calculating the final score for each cluster, the first two scores represent 0 and the other three scores represent 1. Scoring 3 or more on avoidance cluster, 2 or more on re-experience, and 1 or more on excessive hyper-arousal is an indication of PTSD for that specific cluster. The scores and measures are validated in Arabic [22, 23]. This scale, however, is based on the diagnostic and statistical manual of mental disorders (DSM) IV. These three clusters are close to what is used in the International Classification of Disease 11 (ICD-11) criteria although using DSM IV criteria usually identifies cases with less severe trauma exposure [24].

Other questions

Subjects were asked basic demographic questions such as gender, age, educational level, governorate of current living, and whether they had consanguineous parents. Subjects were also asked a few questions, both directly and indirectly, about war, including changing place of living due to war, losing someone close, and being distressed from war noises. Finally, subjects were asked if they had any chronic medical condition.

This study defined third-degree consanguineous parents as having parents who were first cousins, and fourth-degree consanguineous parents as having parents who were second cousins, or second cousins once removed who is either a child of one’s second cousin, or one’s parent’s second cousin.

Data process

Data were processed using IBM SPSS software version 26 for Windows (SPSS Inc., IL, USA). Chi-square was used with nominal variables such as in (Table 1) while one-way analysis of variance (ANOVA), and independent t-tests were performed to determine statistical significance when having a numeric variable with a nominal one such as in (Tables 2 and 3). Pearson correlation was also used when having two numeric variables.

Table 1 Comparing Each SPTSS Cluster with Other Variables
Table 2 Demonstrate rrelationship between variables and K10 and mspss scores
Table 3 Comparing Each Support in MSPSS with K10 and SPTSS clusters

Through the same software, odds ratios (ORs) and the 95% confidence intervals for the groups were calculated using the Mantel–Haenszel test. Values of less than 0.05 for the two-tailed P values were considered statistically significant. Bonferroni correction was used to reduce type 1 error when comparing multiple variables in Tables 1 and 2. It is calculated by P = α\m where α in our study is 0.05 and m is the number of hypotheses.


Overall, 2173 filled in the survey. However, 198 were excluded as they did not answer all the questions, or their replies were invalid. Another 24 participants refused to be enrolled despite their initial consent when initiating the survey. The study included 1951 responders with 527 (27.0%) being males, and 1538 (78.8%) participants being within the age range of [19,20,21,22,23,24,25] years.

Among responders, 19.2% (CI 95%: 17.5–21%) were likely to be well, 19.5% (CI 95%: 17.8–21.3%) had a mild mental disorder, 16% (CI 95%: 14.9–18.1%) had a moderate mental disorder, and 44.7% (CI 95%: 42.6–47.0%) had a severe mental disorder according to K10 scale. Other characteristics of the subjects are demonstrated in (Table 4).

Table 4 Characteristics of the subjects with characteristics of war, current medical conditions, and K10 Scale

According to SPTSS questionnaire, 53.3% (CI 95%: 51.2–55.6%) met the criteria for having symptoms of avoidance, 64.4 (CI 95%: 62.4–66.5%) for hyper-arousal, 58.9% (CI 95%: 56.9–61.2%) for re-experience, and 36.9% (CI 95%: 35.0–39.1%) for full PTSD symptoms.

K10 results

According to Table 2, there were significantly higher K10 scores in participants who changed places of living multiple times due to war, females, participants with low SES, low educational levels, younger age groups, and participants who were distressed from war noise. When regressing the previous significant variables on K10 scores by using forward linear regression, they were all significant (P < 0.05). Regression model is demonstrated in (Table 5). Other variables and their correlation with K10 scores are demonstrated in (Table 2).

Table 5 Demonstrating forward linear regression on K10 scores, MSPSS, Avoidance, Hyper-arousal, and re-experience score with their relevant statistically significant variables

There was no statistically significant difference when comparing different K10 results with governorates of current living (P = 0.219). However, disturbance of K10 scores among governorates is demonstrated in (Fig. 1). K10 mean scores were higher by at least 3 points when having one or more chronic medical conditions when compared to not having any (P < 0.001, F = 7.6).

Fig. 1

Showing governorate of current living of the subjects with their K10 scale and full SPTSS according to their gender

When using Pearson correlation, positive correlations (P < 0.001) were found between K10 scores and higher numbers of days being unable to work, study, or manage daily activities because of the negative feelings (r = 0.110), more frequent visits to a health professional because of the negative feelings (r = 0.110), and more frequent physical problems being attributed to the negative feelings (r = 0.180). K10 scores were not correlated with the type of work (P = 0.357) and are demonstrated in (Fig. 2).

Fig. 2

Showing SPTSS and K10 mean scores according to occupation

MSPSS results

When comparing the governorate of current living and MSPSS, we did not find a statistically significant difference P = 0.662. When using one-way ANOVA, high overall support was associated with fewer times of reporting physical problems being attributed to the negative feelings (P = 0.040). However, P-value was higher than 0.05 with other LM questions.

According to Table 2, significantly higher MSPSS scores were found in engaged participants, and with higher SES groups (P < 0.001). When regressing the previous two variables from Table 2 on MSPSS scores by using forward linear regression, only SES was found significant (P < 0.001) with an R2 of 2.3%. Regression model is demonstrated in (Table 5).

SPTSS results

Comparing SPTSS clusters with each variable is demonstrated in (Table 1). SPTSS total scores were not associated with the type of work (P = 0.357) and they are demonstrated in (Fig. 2). When comparing the governorate of current living with having PTSD, no statistically significant difference was observed P = 0.681. However, disturbance of K10 scores among governorates is demonstrated in (Fig. 1). The mean SPTSS score was higher by at least 4.5 points when having one or more chronic medical conditions compared to not having any (P < 0.001, F = 12.6).

We used forward linear regression on avoidance scores with the statistically significant variables of avoidance, except for the variables with an asterisk in Table 1. This showed the number of times changing places of living, and education were statistically significant (P < 0.05). When using the same method on hyper-arousal, distress from war noise, number of times changing places of living, and education were statistically significant (P < 0.05). When using the same method on re-experience, distress from war noise, losing someone due to war, educational level were statistically significant (P < 0.05). All regression models are demonstrated in (Table 5).

Comparisons between K10, SPTSS, and MSPSS results

When using independent t-test, the mean score of K10 was 32.9 (±23.9) in participants with avoidance symptoms, 23.9 (±8.4) in participants without avoidance symptoms, and t = − 22.69 (P < 0.001). The mean score of K10 was 32.1 (±9.2) in participants with hyper-arousal symptoms, 22.6 (±7.9) in participants without hyper-arousal symptoms, and t = − 22.76 (P < 0.001). The mean score of K10 was 32.3 (±9.2) among participants with re-experience symptoms, and 23.5 (±8.2) in participants without re-experience symptoms, and t = − 21.78 (P > 0.001).

When using one-way ANOVA, MSPSS scores were significantly associated with worse K10 results and SPTSS clusters which are demonstrated in (Table 3). When using Pearson correlation, higher K10 and SPTSS symptoms scores were significantly associated with lower family, friends, and significant other support. Family support score was significantly (P < 0.001) correlated with K10 score (r = − 0.195), avoidance score (r = − 0.236), arousal score (r = − 0.195), and re-experience score (r = − 0.192). Friend support score was also significantly (P < 0.001) correlated with K10 score (r = − 0.171), avoidance score (r = − 0.257), arousal score (r = − 0.214), and re-experience score (r = − 0.192). Finally, significant other support was significantly (P < 0.001) correlated with K10 score (r = − 0.160), avoidance score (r = − 0.233), arousal score (r = − 0.177), and re-experience score (r = − 0.157).

Other results

When using one-way ANOVA and independent t-test, more days were declared being unable to work, study, or manage daily life because of the negative feelings among subjects with more SPTSS symptoms (P = 0.061), avoidance symptoms (P = 0.0190), hyper-arousal symptoms (P = 0.034), and re-experience symptoms (P = 0.043). Fewer subjects declared they could work but had to cut down on what they did which was statistically insignificant (P > 0.05). Furthermore, more frequent visits to health professionals because of what was felt was associated with total PTSD symptoms (P = 0.063), avoidance symptoms (P > 0.05), hyper-arousal symptoms (P = 0.022), and re-experience symptoms (P = 0.022). More subjects also declared that having physical health problems being the main cause of the negative feelings was associated with more SPTSS symptoms (P < 0.0001), avoidance symptoms (P = 0.003), hyper-arousal symptoms (P < 0.0001), and re-experience symptoms (P < 0.0001).


Distress, depression, and mental disorder

Our study showed that 80.7% of people in Syria scored above 20 in the K10 test, and around 60% of the population reported symptoms consistent with moderate to severe mental disorder. Changing places of living multiple times due to war, being females, having a low SES, low educational levels, younger age groups, and being distressed from war noise were associated with higher K10 scores. High K10 scores were also correlated with more frequent visits to the doctor, more days off work, and more physical problems. Over 80% of the participants were younger than 25 years of age. We did not find significant differences when comparing mental disorders among governorates and different types of jobs.

Among a typical population, 13% scored 20 or above in the K10 questionnaire. In primary care, around 25% of patients in primary care scored 20 or over in high-income countries [17, 18]. These numbers are much higher in low-income countries; in Iraq, around 60% of Syrian refugees had probable depression [25]. Another study found that 56% of the Syrian refugees at Alzatary Camp in Jordan suffered from mental distress, and 46% believed they needed mental support [26]. At least 49.7% of the refugees in Germany were screened positive for a mental disorder, with 21.7% having depression and 10.3% having major depression [27]. Whilst depression was the most common mental disorder among Syrian refugees in Sweden with the prevalence being 40.2% [28], a study on Syrian school students found that the depression rate was 32% in 2018 [29].

Several factors increase the risk of developing mental distress. It is known that the most important period for the development of the mental balance is during the adolescence. Unfortunately according to some studies, around 20% of young people in the world suffer from mental problems [30]. Many studies revealed that mental disorders prevalence is often two times higher among females than males [28, 31]. Male Syrian refugees also reported facing more traumatic events [25].

PTSD and traumatic exposure

In this study, 36.9% of the participants had full PTSD symptoms, 60.8% had two or more positive PTSD symptoms, and only 21% did not have any PTSD symptoms. Our study showed that 49.9% had to change places of living due to war, with 27.6% having to change their place of living three times or more. Moreover, 64.3% lost someone due to war, and 85.4% had a relative or a close friend who was endangered by war. The number of times changing places of living due to war, educational level, and distress from war noise contributed the most to the high PTSD scores. We did not find significant differences in PTSD prevalence among governorates and different types of jobs.

Around 60% of Syrian students in Syria have PTSD and/or problematic anger [32]. One study in 2019 found that 61.4% of Syrian refugees met the DSM-5 symptom criteria for probable PTSD with a significant difference between males and females [25]. However, another study on Syrian refugees in Lebanon found that 27.2% had a PTSD point prevalence and 35.4% had a lifetime prevalence [33]. In Turkey, it was found that the prevalence of PTSD was 33.5% among Syrian refugees using DSM-IV-TR criteria [34]. Moreover, 34.9% of refugees in Germany had PTSD [27] compared to 29.9% in Sweden [28], and 35.1% in Syria [29].

Approximately 70% of people experience at least one traumatic incident in their life [35]. This might cause persistent avoidance and re-experiencing of the event in addition to other symptoms that reveal an emotional stimulation or a stress response [36, 37]. Around 10–40% of trauma survivors will develop PTSD [38] which is associated with a decreased quality of life [39]. Prevalence rates of PTSD are widely varied across studies due to differences in measures and periods in which the studies were conducted. Moreover, 59.1% were secreened positive for trauma exposure in Syria. Furthermore, refugees from Aleppo had higher PTSD prevalence than refugees from Homs [33]. Another study conducted in Syria on school students showed that 50.2% of participants were internally displaced [29]. Another study on Syrian refugees in Iraq showed that 98.5% of refugees had encountered at least one traumatic event, and 86.3% of them encountered at least three [25].

Other variables also took part such as age, gender, illness history, level of social support, and cultural background [40]. Besides, a study on Syrian refugees in Turkey found that experiencing two or more traumatic events significantly increased the risk of PTSD, and the ratio of females having PTSD was four times higher than males [34]. Numerous studies about gender differences showed that males are less likely to develop PTSD after traumatic events, and therefore the prevalence of PTSD among women will be higher. In contrast, a study in Lebanon showed no significant differences in PTSD and depression rates between male and female university students who faced war-related trauma [41].

Age is considered a significant risk factor for developing PTSD; a meta-analysis of 29 studies on trauma-exposed adults revealed that exposure to a traumatic event at a younger age was an important risk factor for PTSD [42].

Social support

Although only 23.2% of our sample had a low total support, the high prevalence of PTSD, and mental disorders suggest other factors being involved besides low support levels as (r < 0.3) which is weak. SES was the most contributing factor to social support.

The literature indicates that social support was a preventive factor for the development of PTSD for men and women. Furthermore, the incidence of post-traumatic stress increased in those with a low social support. For many who have experienced trauma in their lives, social support was a preventive factor for the development of PTSD [43]. This confirms our finding of the negative association between MSPSS scores, and SPTSS and K10 scores (P < 0.0001).

However, after a long period of exposure to trauma, the impact of social support as a protective factor may be mitigated [44]. A study at Alzatary Camp in Jordan found that 66.7% of refugees staying at the camp reported a great need for mental support [26].

Outcomes of the psychological burden

Being fearful, easily angered, nervous, having difficulty sleeping or staying asleep, absence of hope for the future, and spells of terror or panic were some of the characteristics that the Syrian refugees experienced at Alzatary Camp in Jordan [26]. Similarly, 31.8% of refugees in Sweden, and 29.5% of Syrian students had anxiety [28, 29]. Other studies in Syria found that dental and genitival health were associated with PTSD and mental disorders [45, 46]. Another study found that around 50% of the population had allergic rhinitis which could be from the direct or indirect effects of war or the unique environment [47]. A similar study found a high prevalence of laryngopharyngeal reflux which is also related to war variables [48]. Smoking is also common among the Syrian population, mainly social shisha smoking which could be to get away from the daily stress. Shisha smoking is mainly common among university students who represent most of our study [49].

Moreover, war has affected university students [50], and prevented research from being properly conducted due to a shortage of resources [51]. Many studies lacked proper funding which ultimately generated limited data. There are many crucial medical investigations and procedures not conducted in most studies in Syria, and delayed treatment can occur due to the financial hurdles which can dramatically affect patients’ care [12,13,14,15,16]. This reflects some of the negative outcomes that Syrians have endured, especially in those who were mostly affected by the war.

The stigma of mental health in Syria is very common, and only a few practicing psychiatrists and psychotherapists exist. As social support was only weakly but significantly correlated with lower K10 and SPTSS scores (r < 0.3 with P < 0.001), other measurements are required to boost mental health in the society. National-wide programs are needed to increase awareness, and humanitarian assistance is required to benefit from international experts in mental health. Financial assistance is also needed as the deteriorating financial situation is a strong contributing factor to the suffering.


Most online surveys in Syria tend to include the young population and females more than males as this population tends to be members in social media groups more often. In contrast, older generations exist mainly in family’s and close friends’ groups, and they are disinterested in filling in surveys that are not directly sent from a person they know, or they simply do not know how to fill them in. This pattern is seen in multiple online studies from Syria. This might have affected the results as the young might react differently compared to the elder. Self-reported symptoms also tend to overestimate the true prevalence of mental symptoms. Besides, the nature of the method – self-reported questionnaires – solicits responses which may vary depending on the participant’s feelings at the time.

Although K10 is a good screening method to detect recent anxiety and depressive symptoms, it is not an appropriate alternative for medical consultation. However, after clinical diagnosis, K10 can be used for assessment as scores that remain above 24 are indicative to the needs for a referral to a specialist [17, 18]. Symptoms associated with PTSD can also be seen in the normal phase of dealing with stress which the Syrian population has been experiencing since 2011, with no periods that allowed for mental healing or stability.

Furthermore, mental illness rates can be associated with factors that have not been addressed in our study. For example, studies among war-affected displaced populations showed that the number of traumatic events was associated with increased mental illness rates as previously discussed; we could not, however, determine the exact event(s) that the population had faced. Moreover, geographical characteristics appear to influence the psychological wellbeing of displaced populations. Most studies showed that severe mental disorders were more common in cities compared to rural areas [25, 52]. However, one study on Syrian refugees found this difference was only with PTSD, not with depression symptoms [25]. Our study could not determine the exact place of living, whether it was urban or rural. We could only determine the governorate of origin since responders might have been displaced several times which made it difficult to determine this factor.

This study did not consider the mental background of participants, which could have aggravated the symptoms of PTSD or biased the questionnaire. This study was online which made it difficult to determine the population at risk. Moreover, responders who had an internet connection and were willing to do the questionnaires are probably in a better mental condition than those who are truly severely affected, and do not have internet connection or the will to do the survey. Finally, most of the responders were university students with potentially higher SES than the normal population. For all the previous reasons, this study might have underestimated the true prevalence of distress amongst the general population.

SES could not be accurately determined since asking about the salary is inappropriate in the Syrian culture. There is a huge difference in living costs in Syria, where people can live of a lower income compared to other countries in the region. SPTSS is based on DSM-IV, not V. However, it can resemble ICD-11.


The Syrian conflict has caused severe mental distress in the Syrian society. Efforts and interventions to improve the psychological wellbeing of the Syrian population are needed to ensure the people are prepared for the reconstruction of their country when the situation improves. The results of this study reflect the underlying disaster that made people severely mentally impaired. The social support had a relative weak effect, meaning that resources should be re-allocated to other aspects of care. Syrian people have serious concerns about financial and psychiatric aspects of their lives and require various measures to ameliorate their situation. These results also emphasises on the importance of security either economically or in terms of personal safety which are more important in the long term than support from family, friends, and the significant other as higher mental distress is seen in those who remained in Syria compared to refugees in camps.

This study suggests that internally displaced people, and even those who were not displaced in the conflict, experienced more severe mental disorder than the Syrian refugees in most countries. The number of times changing places of living due to war and being distressed from war noise have contributed the most to the high PTSD, anxiety, and depression burden. More than 60% of the population suffered from PTSD and severe mental disorders. Having a high educational background was associated with less severe mental disorders and PTSD. Moreover, a higher number of times changing places of living due to war, a lower educational level, and being distressed from war noise were associated the most with sever PTSD and mental distress. No significant differences in mental disorders, or PTSD were noted among participants from different governorates or with different job types. Many other variables have contributed to these findings altogether which indicate the need for addressing multiple issues. Females and young participants suffered more on the psychiatric aspect.

Availability of data and materials

The data can be made available upon reasonable request.



Analysis of variance


Confidence Interval


Diagnostic and statistical manual of mental disorders


International Classification of Disease




Multidimensional Scale of Perceived Social Support


Odds ratios


Post-traumatic stress disorder


Socioeconomic status


Statistical Package for the Social Sciences


Screen for Posttraumatic Stress Symptoms


  1. 1.

    de Ville de Goyet C, Marti RZ, Osorio C. Natural disaster mitigation and relief. In: Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Jha P, Mills A, Musgrove P, editors. Disease control priorities in developing countries. Washington; 2006. Accession Number: 21250364.

  2. 2.

    Syria, Events of 2018: Reuters; [Available from:

  3. 3.

    Syria emergency: UNHCR, the UN Refugee Agency [updated 19 April 2018. Available from:

  4. 4.

    Internally Displaced People: UNHCR, The UN Refugee Agency; [Available from:

  5. 5.

    Agency. CgCI. MIDDLE EAST :: SYRIA [updated FEBRUARY 20, 2020. Available from:

  6. 6.

    Taleb ZB, Bahelah R, Fouad FM, Coutts A, Wilcox M, Maziak W. Syria: health in a country undergoing tragic transition. Int J Public Health. 2014;60(S1):63–72.

    Article  Google Scholar 

  7. 7.

    Cloitre M, Garvert DW, Brewin CR, Bryant RA, Maercker A. Evidence for proposed ICD-11 PTSD and complex PTSD: a latent profile analysis. Eur J Psychotraumatol. 2013;4(1):20706.

    Article  Google Scholar 

  8. 8.

    Carlsson JM, Olsen DR, Mortensen EL, Kastrup M. Mental health and health-related quality of life. J Nerv Ment Dis. 2006;194(10):725–31.

    PubMed  Article  Google Scholar 

  9. 9.

    Lie B. A 3-year follow-up study of psychosocial functioning and general symptoms in settled refugees. Acta Psychiatr Scand. 2002;106(6):415–25.

    CAS  PubMed  Article  Google Scholar 

  10. 10.

    Roth G, Ekblad S, Ågren H. A longitudinal study of PTSD in a sample of adult mass-evacuated Kosovars, some of whom returned to their home country. Eur Psychiatry. 2006;21(3):152–9.

    PubMed  Article  Google Scholar 

  11. 11.

    Miller KE, Rasmussen A. War experiences, daily stressors and mental health five years on. Intervention. 2014;12:33–42.

    Article  Google Scholar 

  12. 12.

    Kakaje A, Alhalabi MM, Ghareeb A, Karam B, Mansour B, Zahra B, et al. Rates and trends of childhood acute lymphoblastic leukaemia: an epidemiology study. Sci Rep. 2020;10(1):1.

    Article  CAS  Google Scholar 

  13. 13.

    Ghareeb A, Kakaje A, Ghareeb A, Nahas MA. An enormous arteriovenous malformation presenting in a child in sacro-gluteal region and managed successfully by recurrent embolisation and surgery. Int J Surg Case Rep. 2020;71:244–9.

    PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Kakaje A, Mujahed R, Hamdan O, Hakim J. A large epithelioid angiomyolipoma of the kidney in a very young child with idiopathic chylothorax: a diagnostic dilemma. Urol Case Rep. 2020;28:101035.

    PubMed  Article  PubMed Central  Google Scholar 

  15. 15.

    Kakaje A, Awad R. Behcet’s disease presenting with primary hypothyroidism, adrenal insufficiency, and celiac disease: a case report. Clin Case Rep. 2020.

  16. 16.

    Saadi TA, Abbas F, Turk T, Alkhatib M, Hanafi I, Alahdab F. Medical research in war-torn Syria: medical students’ perspective. Lancet. 2018;391(10139):2497–8.

    PubMed  Article  Google Scholar 

  17. 17.

    Andrews G, Slade T. Interpreting scores on the Kessler psychological distress scale (K10). Aust N Z J Public Health. 2001;25(6):494–7.

    CAS  PubMed  Article  Google Scholar 

  18. 18.

    Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SLT, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32(6):959–76.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  19. 19.

    Palazón-Bru A, Sampasa-Kanyinga H, Zamorski MA, Colman I. The psychometric properties of the 10-item Kessler Psychological Distress Scale (K10) in Canadian military personnel. Plos One. 2018;13(4):e0196562.

    Article  CAS  Google Scholar 

  20. 20.

    Zimet G. Multidimensional scale of perceived social support (MSPSS) - scale items and scoring information; 2016.

    Google Scholar 

  21. 21.

    RM KS. Validation of the Arabic translation of the Multidensional Scale of Social Support (Arabic MSPSS) in a Lebanese community sample. Arab J Psychiatry. 2012;23:159–68.

    Google Scholar 

  22. 22.

    Aljurany KAH. Personality characteristics, trauma and symptoms of PTSD: a population study in Iraq: Heriot-Watt University; 2013.

  23. 23.

    Carlson EB. Psychometric study of a brief screen for PTSD:assessing the impact of multiple traumatic events. Assessment. 2016;8(4):431–41.

    Article  Google Scholar 

  24. 24.

    Haravuori H, Kiviruusu O, Suomalainen L, Marttunen M. An evaluation of ICD-11 posttraumatic stress disorder criteria in two samples of adolescents and young adults exposed to mass shootings: factor analysis and comparisons to ICD-10 and DSM-IV. BMC Psychiatry. 2016;16(1). ISSN: 1471-244X.

  25. 25.

    Mahmood HN, Ibrahim H, Goessmann K, Ismail AA, Neuner F. Post-traumatic stress disorder and depression among Syrian refugees residing in the Kurdistan region of Iraq. Conflict Health. 2019;13(1):1.

    Article  Google Scholar 

  26. 26.

    Basheti IA, Qunaibi EA, Malas R. Psychological impact of life as refugees: a pilot study on a Syrian camp in Jordan. Trop J Pharm Res. 2015. ISSN: 1596-5996 (print); 1596-9827 (electronic).

  27. 27.

    Nesterko Y, Jäckle D, Friedrich M, Holzapfel L, Glaesmer H. Prevalence of post-traumatic stress disorder, depression and somatisation in recently arrived refugees in Germany: an epidemiological study. Epidemiol Psychiatric Sci. 2019;29:e40.

    CAS  Article  Google Scholar 

  28. 28.

    Tinghög P, Malm A, Arwidson C, Sigvardsdotter E, Lundin A, Saboonchi F. Prevalence of mental ill health, traumas and postmigration stress among refugees from Syria resettled in Sweden after 2011: a population-based survey. BMJ Open. 2017;7(12):e018899.

    PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Perkins JD, Ajeeb M, Fadel L, Saleh G. Mental health in Syrian children with a focus on post-traumatic stress: a cross-sectional study from Syrian schools. Soc Psychiatry Psychiatr Epidemiol. 2018;53(11):1231–9.

    PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Barry MM, Clarke AM, Jenkins R, Patel V. A systematic review of the effectiveness of mental health promotion interventions for young people in low and middle income countries. BMC Public Health. 2013;13(1):835.

    PubMed  PubMed Central  Article  Google Scholar 

  31. 31.

    Acarturk C, Cetinkaya M, Senay I, Gulen B, Aker T, Hinton D. Prevalence and predictors of posttraumatic stress and depression symptoms among Syrian refugees in a refugee camp. J Nerv Ment Dis. 2018;206(1):40–5.

    PubMed  Article  PubMed Central  Google Scholar 

  32. 32.

    Kakaje A, Al Zohbi R, Alyousbashi A, Abdelwahed RNK, Hosam Aldeen O, Alhalabi MM, Ghareeb A, Latifeh Y. Post-traumatic stress disorder (PTSD), anger and mental health of school students in Syria after nine years of conflict: a large-scale school-based study. Psychol Med. 2020:1–11.

  33. 33.

    Kazour F, Zahreddine NR, Maragel MG, Almustafa MA, Soufia M, Haddad R, et al. Post-traumatic stress disorder in a sample of Syrian refugees in Lebanon. Compr Psychiatry. 2017;72:41–7.

    PubMed  Article  PubMed Central  Google Scholar 

  34. 34.

    Alpak G, Unal A, Bulbul F, Sagaltici E, Bez Y, Altindag A, et al. Post-traumatic stress disorder among Syrian refugees in Turkey: a cross-sectional study. Int J Psychiatry Clin Pract. 2015;19(1):45–50.

    PubMed  Article  PubMed Central  Google Scholar 

  35. 35.

    Freedy JR, Donkervoet JC. Traumatic Stress Traumatic Stress; 1995. p. 3–28.

    Google Scholar 

  36. 36.

    Ali M, Farooq N, Bhatti MA, Kuroiwa C. Assessment of prevalence and determinants of posttraumatic stress disorder in survivors of earthquake in Pakistan using Davidson trauma scale. J Affect Disord. 2012;136(3):238–43.

    PubMed  Article  Google Scholar 

  37. 37.

    Hong C, Efferth T. Systematic review on post-traumatic stress disorder among survivors of the Wenchuan earthquake. Trauma Violence Abuse. 2016;17(5):542–61.

    PubMed  Article  Google Scholar 

  38. 38.

    Ursano RJ, Bell C, Eth S, Friedman M, Norwood A, Pfefferbaum B, et al. Practice guideline for the treatment of patients with acute stress disorder and posttraumatic stress disorder. Am J Psychiatry. 2004;161(11 Suppl):3–31.

    PubMed  PubMed Central  Google Scholar 

  39. 39.

    Kiely JM, Brasel KJ, Weidner KL, Guse CE, Weigelt JA. Predicting quality of life six months after traumatic injury. J Trauma. 2006;61(4):791–8.

    PubMed  Article  PubMed Central  Google Scholar 

  40. 40.

    Teramoto C, Matsunaga A, Nagata S. Cross-sectional study of social support and psychological distress among displaced earthquake survivors in Japan. Jpn J Nurs Sci. 2015;12(4):320–9.

    PubMed  Article  PubMed Central  Google Scholar 

  41. 41.

    Abu-Saba MB. War-related trauma and stress characteristics of American University of Beirut students. J Trauma Stress. 1999;12(1):201–7.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  42. 42.

    Brewin CR, Andrews B, Valentine JD. Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. J Consult Clin Psychol. 2000;68(5):748–66.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  43. 43.

    Visser E, Gosens T, Den Oudsten BL, De Vries J. The course, prediction, and treatment of acute and posttraumatic stress in trauma patients. J Trauma Acute Care Surg. 2017;82(6):1158–83.

    PubMed  Article  PubMed Central  Google Scholar 

  44. 44.

    Sippel LM, Pietrzak RH, Charney DS, Mayes LC, Southwick SM. How does social support enhance resilience in the trauma-exposed individual? Ecol Soc. 2015;20(4). ISSN: 1708-3087.

  45. 45.

    Bahaa Aldin Alhaffar MH, Mustafa K, Sabbagh S, Yabrode K, Shebib G, Kouchaji C. Seven years of war in Syria: The relation between oral health and PTSD among children. Indian J Oral Health Res. 2018;4(1):10.

    Article  Google Scholar 

  46. 46.

    Hamid SH, Dashash MAD. The impact of post-traumatic stress disorder on dental and gingival status of children during syrian crisis: A preliminary study. J Investig Clin Dent. 2019;10(1):e12372.

    PubMed  Article  Google Scholar 

  47. 47.

    Kakaje A, Alhalabi MM, Alyousbashi A, Hamid A, Hosam AO. Allergic rhinitis and its epidemiological distribution in Syria: a high prevalence and additional risks in war time. Biomed Res Int. 2020;2020:1–9.

    Google Scholar 

  48. 48.

    Kakaje A, Alhalabi MM, Alyousbashi A, Hamid A, Mahmoud Y. Laryngopharyngeal reflux in war-torn Syria and its association with smoking and other risks: an online cross-sectional population study. BMJ Open. 2020;10(11):e041183.

    PubMed  PubMed Central  Article  Google Scholar 

  49. 49.

    Kakaje A, Alhalabi MM, Alyousbashi A, Ghareeb A, Hamid L. Smoking habits in Syria and the influence of war on cigarette and shisha smoking; 2020.

    Google Scholar 

  50. 50.

    Al Saadi T, Zaher Addeen S, Turk T, Abbas F, Alkhatib M. Psychological distress among medical students in conflicts: a cross-sectional study from Syria. BMC Med Educ. 2017;17(1):173.

    PubMed  PubMed Central  Article  Google Scholar 

  51. 51.

    Turk T, Al Saadi T, Alkhatib M, Hanafi I, Alahdab F, Firwana B, et al. Attitudes, barriers, and practices toward research and publication among medical students at the University of Damascus, Syria. Avicenna J Med. 2018;8(1):24.

    PubMed  PubMed Central  Article  Google Scholar 

  52. 52.

    Gruebner O, Rapp MA, Adli M, Kluge U, Galea S, Heinz A. Cities and Mental Health. Deutsches Aerzteblatt Online; 2017.

    Google Scholar 

Download references


We sincerely appreciate the valuable contributions made by Dr. Ayham Ghareeb and Dr. Yousef Mahmoud and acknowledge their kind collaboration in making this research possible, and facilitating its conduction, and distribution of the survey.

We also appreciate the valuable contributions made by S. Hakeem for medical media for their aid in largely distributing the surveys among people.


We received no funding in any form.

Author information




All authors have read and approved the manuscript. AK: First and scenior author; Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Project administration; Supervision; Resources; Validation; original draft; Writing - review & editing. RAZ: original draft; Investigation; Supervision. OHA: original draft; project administration. LM: Methodology; Writing - review & editing. AA: Formal analysis. Software; writing - review. BAA: Data curation, Methodology.

Corresponding author

Correspondence to Ameer Kakaje.

Ethics declarations

Ethics approval and consent to participate

Online informed consent was taken before proceeding with the survey for participating in the research, and for using and publishing the data. We assured to maintain confidentiality and asked no questions that might reveal the person’s identity. No subjects were under age of 14. For subjects under the age of 18 years, another online informed consent was taken from the guardian as this method was agreed in the study protocol.

Our study protocol and ethical aspects were reviewed and approved by Damascus University deanship, Damascus, Syria.

Consent for publication


Competing interests

We have no conflict of interest to declare.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kakaje, A., Al Zohbi, R., Hosam Aldeen, O. et al. Mental disorder and PTSD in Syria during wartime: a nationwide crisis. BMC Psychiatry 21, 2 (2021).

Download citation


  • Conflict
  • Global health
  • K10
  • Mental distress
  • PTSD
  • Public health
  • Refugees
  • Social support
  • Syria
  • War