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.
Methods
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.
Results
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.
Conclusion
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.
Hinweise
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Abkürzungen
ANOVA
Analysis of variance
CI
Confidence Interval
DSM
Diagnostic and statistical manual of mental disorders
ICD
International Classification of Disease
K10
Kessler
MSPSS
Multidimensional Scale of Perceived Social Support
OR
Odds ratios
PTSD
Post-traumatic stress disorder
SES
Socioeconomic status
SPSS
Statistical Package for the Social Sciences
SPTSS
Screen for Posttraumatic Stress Symptoms
Background
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 [8‐10].
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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 [12‐16]. 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.
Methods
Sampling
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.
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Questionnaires
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 [17‐19]. 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].
PTSD
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
Avoidance
Arousal
Re-experience
Negative(n = 910) - %
Positive
(n = 1040) - %
P value
Negative (n = 693) - %
Positive
(n = 1257) - %
P value
Negative
(n = 800) - %
Positive
(n = 1150) - %
P value
P value#
Gender
Male
247
27.1%
280
26.9%
NS
208
30.0%
319
25.4%
0.073 NS
239
29.9%
288
25.0%
0.051 NS
NS
Female
663
72.9%
760
73.1%
485
70.0%
938
74.6%
561
70.1%
862
75.0%
Consanguinity
No
656
72.1%
759
73.0%
NS
496
71.6%
919
73.1%
NS
591
73.9%
824
71.7%
NS
NS
Third-degree relatives
134
14.7%
166
16.0%
103
14.9%
197
15.7%
111
13.9%
189
16.4%
Fourth-degree relatives
53
5.8%
44
4.2%
42
6.1%
55
4.4%
47
5.9%
50
4.3%
Distant relatives
67
7.4%
71
6.8%
52
7.5%
86
6.8%
51
6.4%
87
7.6%
Marital status
Single
750
82.5%
866
83.4%
NS
574
82.9%
1042
83.0%
NS
661
82.7%
955
83.2%
NS
NS
Engaged
47
5.2%
39
3.8%
31
4.5%
55
4.4%
31
3.9%
55
4.8%
Married
97
10.7%
120
11.6%
78
11.3%
139
11.1%
94
11.8%
123
10.7%
Divorced
10
1.1%
11
1.1%
6
0.9%
15
1.2%
9
1.1%
12
1.0%
Widowed
5
0.6%
2
0.2%
3
0.4%
4
0.3%
4
0.5%
3
0.3%
Educational level
Primary School
2
0.2%
23
2.3%
< 0.0001
2
0.3%
25
1.9%
< 0.0001
5
0.6%
22
1.8%
0.004
0.001
High School
45
4.9%
81
7.8%
30
4.3%
96
7.6%
44
5.5%
82
7.1%
University or any high institute
807
88.7%
864
83.2%
624
90.0%
1047
83.4%
700
87.5%
971
84.5%
Masters or PhD
56
6.2%
70
6.7%
37
5.3%
89
7.1%
51
6.4%
75
6.5%
SES
Lower
14
1.5%
16
1.5%
8
1.2%
22
1.8%
9
1.1%
21
1.8%
Upper Lower
199
21.9%
283
27.2%
0.028 NS
136
19.6%
346
27.5%
0.003
176
22.0%
306
26.6%
0.055 NS
0.005 NS
Middle
490
53.8%
554
53.3%
393
56.7%
651
51.8%
435
54.4%
609
53.0%
Upper
207
22.7%
187
18.0%
156
22.5%
238
18.9%
180
22.5%
214
18.6%
Working
No
497
65.0%
600
67.6%
NS
385
67.2%
712
66.0%
NS
433
64.5%
664
67.8%
NS
NS
Yes
267
35.0%
287
32.4%
188
32.8%
366
34.0%
238
35.5%
316
32.2%
Age groups
14–18
24
2.6%
27
2.6%
15
2.2%
36
2.9%
14
1.8%
37
3.2%
19–25
720
79.1%
818
78.7%
< 0.0001
563
81.2%
975
77.6%
< 0.0001
639
79.9%
899
78.2%
< 0.0001
0.066 NS
26–45
147
16.2%
186
17.9%
102
14.7%
231
18.4%
128
16.0%
205
17.8%
46–65
19
2.1%
9
0.9%
13
1.9%
15
1.2%
19
2.4%
9
0.8%
Losing someone close due to war
No
351
38.6%
346
33.3%
0.039 NS
270
39.0%
427
34.0%
0.067 NS
339
42.4%
358
31.1%
< 0.0001
0.001
Yes
559
61.4%
694
66.7%
423
61.0%
830
66.0%
461
57.6%
792
68.9%
A relative being endangered by the war
No
138
15.2%
146
14.0%
NS
113
16.3%
171
13.6%
NS
132
16.5%
152
13.2%
NS
NS
Yes
772
84.8%
894
86.0%
580
83.7%
1086
86.4%
668
83.5%
998
86.8%
Distressed from war noises
Negative
195
21.4%
211
20.3%
NS
185
26.7%
211
17.6%
< 0.0001
196
24.5%
210
18.3%
0.001
0.003
Positive
715
78.6%
829
79.7%
508
73.3%
1036
82.4%
604
75.5%
940
81.7%
Changing place of living due to war
No
495
54.4%
482
46.3%
361
52.1%
616
49.0%
413
51.6%
564
49.0%
Within the same city
195
21.4%
233
22.4%
0.004
138
19.9%
290
23.1%
NS
173
21.6%
255
22.2%
NS
0.010 NS
With changing city
195
21.4%
293
28.2%
172
24.8%
316
25.1%
191
23.9%
297
25.8%
Both
25
2.7%
32
3.1%
22
3.2%
35
2.8%
23
2.9%
34
3.0%
Number of times changing places of living due to war
Never
495
37.8%
482
31.5%
361
38.0%
616
32.5%
413
36.4%
564
33.1%
Once
123
22.7%
101
16.7%
< 0.0001
103
23.8%
121
17.2%
0.001
107
22.4%
117
17.6%
0.016 NS
< 0.0001
Twice
87
13.5%
124
15.9%
63
11.7%
148
16.5%
91
14.8%
120
14.8%
Thrice and more
205
25.9%
333
35.9%
166
26.6%
372
33.8%
189
26.5%
349
34.5%
The main reason declared of stress in the last period:a
Educational
197
39.5%
191
31.0%
155
43.9%
233
30.6%
173
41.2%
215
30.9%
Economical
58
11.6%
69
11.2%
0.014 NS
39
11.0%
88
11.5%
0.0001
54
12.9%
73
10.5%
0.001
0.001
Social
212
42.5%
292
47.4%
143
40.5%
361
47.4%
164
39.0%
340
48.9%
War-related
20
4.0%
30
4.9%
8
2.3%
42
5.5%
17
4.0%
33
4.7%
Medical
8
1.6%
25
4.1%
5
1.4%
28
3.7%
11
2.6%
22
3.2%
Other
4
0.8%
9
1.5%
3
0.8%
10
1.3%
1
0.2%
12
1.7%
Do you consider that the crisis was the main cause of your distress lately?a
No
155
22.4%
107
12.6%
133
25.6%
129
12.6%
127
20.9%
135
14.5%
Kind of
326
47.2%
336
39.6%
< 0.0001
150
45.5%
426
41.7%
< 0.0001
294
48.4%
368
39.4%
< 0.0001
< 0.0001
Yes totally
210
30.4%
210
47.8%
319
28.9%
466
45.6%
186
30.6%
430
46.1%
Where NS Not significant
Chi-square test was used in this table
#This p value is calculated between having no, one, two or three positive clusters
aThese were not included in the regression as they do not generate extra results and they overlap with most variables
When using Bonferroni correction, P = (0.05\14) ≈ 0.004 or less to be statistically significant
Table 2
Demonstrate rrelationship between variables and K10 and mspss scores
Characteristic
K10 score
MSPSS Score
Mean
SD
P value
F
Mean
SD
P value
F
Gender
Female
29.3
9.8
< 0.001
21.8
51.3
18.2
NS
0.9
Male
27.0
9.7
50.5
18.4
Consanguinity
No
28.8
9.9
51.0
18.4
Yes third-degree relatives
28.7
9.5
0.038 NS
2.8
50.5
18.6
NS
1.9
Yes fourth-degree relatives
26.1
9.4
55.4
16.9
Yes but not close relatives
29.7
9.9
50.6
16.4
Marital status
Single
28.7
9.8
NS
0.2
50.7
18.2
0.002
4.4
Engaged
28.0
10.1
58.5
15.7
Married
28.7
10.1
52.1
19.0
Widowed
28.9
9.6
51.6
16.5
Divorced
29.8
11.6
45.8
17.9
Educational level
Primary School
39.7
9.3
39.5
19.9
High School
30.5
8.9
< 0.001
13
50.2
18.4
0.011 NS
3.7
University or any high institute
28.4
9.8
51.3
18.1
Masters or PhD
29.1
9.7
51.6
18.9
SES
Lower
32.0
11.1
38.2
17.8
Upper Lower
30.4
9.8
< 0.001
8.5
48.0
18.1
< 0.001
15.9
Middle
28.3
9.7
51.4
18.3
Upper
27.4
10.0
55.0
17.1
Working
No
28.9
9.8
NS
1.0
51.1
18.0
NS
0.1
Yes
28.4
9.8
51.3
18.5
Age groups
14–18
31.7
9.6
50.5
17.0
19–25
28.6
9.8
< 0.001
8.1
51.2
18.1
NS
0.3
26–45
29.3
10.1
50.7
18.7
46–65
20.8
6.7
48.5
22.2
Losing someone close due to war
No
28.0
9.7
0.013 NS
6.2
51.7
18.1
NS
1.3
Yes
29.1
9.9
50.7
18.3
A relative being endangered by the war
No
28.1
9.6
NS
1.4
50.2
18.4
NS
0.7
Yes
28.8
9.9
51.2
18.2
Distressed from war noises
Negative
27.1
9.9
< 0.001
13.5
50.2
18.5
NS
1.3
Positive
29.1
9.8
51.3
18.2
Changing place of living due to war
No
28.0
9.6
52.2
18.3
Within the same city
29.6
9.8
0.005 NS
4.2
50.9
18.1
0.027 NS
3.1
Changing the city
29.5
10.2
49.3
18.3
Doing both
28.4
9.4
48.8
16.1
Number of times changing places of living due to war
No
28.0
9.6
< 0.001
8.8
52.2
18.3
0.011 NS
3.7
Once
27.5
10.3
51.8
17.3
Twice
29.3
9.6
50.6
17.8
Thrice and more
30.4
9.9
49.0
18.5
The reason declared of stress in the last period:a
Educational
< 0.001
7.3
54.2
17.4
0.001
4.4
Economical
27.6
9.3
52.8
17.3
Social
29.5
10.2
49.7
18.0
War-related
30.4
10.2
49.9
19.8
Medical
30.2
9.7
54.1
19.8
Other
32.9
8.4
38.5
20.8
Do you consider that the crisis was the main cause of your distress lately?a
No
26.2
9.5
< 0.001
28.3
53.2
18.8
0.054NS
2.9
Kind of
28.5
9.9
51.2
18.1
Yes totally
31.3
9.8
50.0
18.0
One-way ANOVA test was used in this table
aThese were not included in the regression as they do not generate extra results and they overlap with most variables
When using Bonferroni correction, P = (0.05\14) ≈ 0.004 or less to be statistically significant
Table 3
Comparing Each Support in MSPSS with K10 and SPTSS clusters
Family Support
Friends support
Significant Other Support
Mean
SD
P value
Mean
SD
P value
Mean
SD
P value
K 10
No
21.0
6.6
< 0.001
17.2
7.0
< 0.001
19.6
7.3
< 0.001
Low
19.0
6.8
15.1
7.3
17.9
7.6
Medium
18.3
7.2
14.3
7.3
17.3
7.7
High
17.7
7.2
14.0
7.3
16.6
7.9
SPTSS
No
20.2
6.6
< 0.001
16.5
7.1
< 0.001
19.2
7.3
< 0.001
Avoidance
17.4
7.2
13.4
7.2
16.1
7.9
No
20.0
6.6
< 0.001
16.3
7.1
< 0.001
18.9
7.4
< 0.001
Arousal
18.0
7.2
14.1
7.3
16.8
7.9
No
20.1
6.5
< 0.001
16.3
6.9
< 0.001
18.8
7.3
< 0.001
Re-experience
17.8
7.3
13.9
7.5
16.7
8.0
None
20.6
6.4
< 0.001
17.1
6.9
< 0.001
19.4
7.0
< 0.001
One SPTSS symptom
20.1
6.6
16.4
6.8
19.1
7.5
Two SPTSS symptoms
18.7
7.0
14.5
7.3
17.6
7.7
Three SPTSS symptoms
16.9
7.4
13.1
7.3
15.7
7.9
NS Not significant
One-war ANOVA test was used in this table
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.
Results
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 [19‐25] 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
Characteristic
Frequency (n= 1951)
Percentage%
Age
14–18
52
2.7
19–25
1538
78.8
26–45
333
17.1
46–65
28
1.4
Gender
Male
527
27.0
Female
1424
73.0
Marital Status
Single
1617
83.0
Engaged
86
4.4
Married
217
11.1
Divorced
21
1.1
Widowed
7
0.4
Consanguinity
No
1416
72.6
Yes third-degree relatives
300
15.4
Yes fourth-degree relatives
97
5.0
Yes but not close relatives
138
7.1
Medical Conditions
Negative
1008
81.9
Asthma
63
5.1
Hypertension
23
1.9
Diabetes
6
0.5
Asthma, Hypertension
6
0.5
Diabetes, Hypertension
4
0.3
Other
121
9.8
Being distressed from the war noises
No
407
20.9
Yes
1544
79.1
Educational level
Primary School
27
1.4
High School
127
6.5
University or any high institute
1671
85.6
Masters or PhD
126
6.5
Type of work
At a company
103
6.2
Clerk or at a restaurant
21
1.3
Education
104
6.3
Freelancer
78
4.7
Journalism
4
0.2
Law
10
0.6
Health care
234
14.2
Unemployed
1100
66.5
SES Level
Lower
30
1.5
Upper Lower
483
24.8
Middle
1044
53.5
Upper
394
20.2
Losing someone due to the war
No
697
35.7
Yes
1254
64.3
Changing area of living due to war
No
977
50.1
Yes within the same city
429
22.0
Yes with changing the city
488
25.0
Yes I had to do both
57
2.9
Number of times changing place of living due to war
No
977
50.1
Once
224
11.5
Twice
211
10.8
Thrice and more
539
27.6
Place of origin
Damascus, Rif-Dimashq, and Aleppo
1045
53.6
Homs and Hama
354
18.1
Al-Jazira region
94
4.8
Southern Syria
142
7.3
Syrian coast
200
10.3
Idlib
82
4.2
Other
34
1.7
A relative being endangered by the war
No
284
14.6
Yes
1667
85.4
Characteristic (n= 1951)
Frequency (Percentage%)
CI:95%
Kessler psychological distress Scale (K10)
No
376 (19.3%)
17.5–21.0%
Mild
381 (19.5%)
17.8–21.3%
Moderate
322 (16.5%)
14.9–18.1%
Severe
872 (44.7%)
42.6–47.0%
SPTSS items
Avoidance
1040 (53.3%)
51.2–55.6%
No Avoidance
910 (46.6%)
44.3–48.8%
Arousal
1257 (64.4%)
62.4–66.5%
No Arousal
693 (35.6%)
33.4–37.5%
Re-experience
1150 (58.9%)
56.9–61.2%
No Re-experience
800 (41.0%)
38.7–43.0%
Two or more
1186 (60.8%)
58.7–62.7%
Full SPTSS symptoms
720 (36.9%)
35.0–39.1%
MSPSS Family
Low
402 (20.6%)
18.8–22.4%
Medium
575 (29.5%)
27.6–31.5%
High
971 (49.8%)
47.6–52.2%
Friends
Low
738 (37.8%)
35.5–40.2%
Medium
666 (34.2%)
31.7–36.3%
High
546 (28.0%)
26.2–30.2%
Significant other
Low
511 (26.2%)
24.3–28.3%
Medium
613 (31.4%)
29.4–33.5%
High
826 (42.4%)
40.1–44.7%
Total MSPP
Low
452 (23.2%)
21.3–25.1%
Medium
830 (42.5%)
40.3–44.6%
High
669 (34.3%)
32.2–36.5%
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
Model
R
R2
Adjusted R2
Std. Error of the Estimate
Change Statistics
Unstandardized Coefficients β
Standardized Coefficients β
Sig.
R2 Change
F Change
df1
df2
Sig. F Change
K10 score
Number of time changing place of living
.125a
.016
.015
9.757
.016
30.728
1
1948
.000
.838
.106
.000
Gender
.160b
.026
.025
9.709
.010
20.440
1
1947
.000
−2.098
−.095
.000
SES
.191c
.037
.035
9.657
.011
21.896
1
1946
.000
−1.481
−.107
.000
Educational level
.207d
.043
.041
9.629
.006
12.350
1
1945
.000
−1.539
−.067
.004
Age group
.212e
.045
.043
9.620
.002
4.803
1
1944
.029
−1.100
−.053
.022
Being distressed from war noise
.218f
.047
.044
9.610
.002
4.861
1
1943
.028
1.224
.051
.028
MSPSS score
SES
.151a
.023
.022
18.010
.023
45.328
1
1945
.000
3.865
.151
.000
Avoidance score
Number of time changing place of living
.106a
.011
.011
1.854
.011
22.114
1
1947
.000
.150
.100
.000
Educational level
.119b
.014
.013
1.852
.003
5.702
1
1946
.017
−.236
−.054
.017
Hyper-arousal score
Being distressed from war noise
.126a
.016
.015
1.455
.016
31.549
1
1947
.000
.419
.116
.000
SES
.159b
.025
.024
1.449
.009
18.503
1
1946
.000
−.184
−.089
.000
Number of time changing place of living
.180c
.032
.031
1.444
.007
14.430
1
1945
.000
.093
.079
.000
Educational level
.188d
.035
.033
1.442
.003
5.789
1
1944
.016
−.185
−.054
.016
re-experience score
Being distressed from war noise
.114a
.013
.012
1.610
.013
25.648
1
1947
.000
.440
.110
.000
Losing someone due to war
.153b
.024
.023
1.601
.011
21.020
1
1946
.000
.349
.103
.000
Educational level
.173c
.030
.029
1.596
.007
13.063
1
1945
.000
−.306
−.081
.000
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
×
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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).
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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).
Discussion
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.
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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 [12‐16]. 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.
Limitations
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.
Conclusion
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.
Acknowledgements
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.
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
N/A
Competing interests
We have no conflict of interest to declare.
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