Table 1
Variable | Count | Unique | Top | Frequency |
Age | 721 | - | - | - |
Gender | 721 | 2 | Male | 382 |
City | 721 | 10 | Istanbul | 301 |
Occupation | 721 | 23 | Student | 126 |
Education Level | 721 | 6 | Bachelor's | 413 |
Income | 721 | 3 | Low | 383 |
Marital Status | 721 | 3 | Single | 421 |
Earthquake Experience | 721 | 2 | No | 362 |
Traumatic Experience | 721 | 2 | No | 416 |
Employment Status | 721 | 6 | Employed Full-time | 207 |
Length of Residence in Current Location | 721 | 5 | 4–6 years | 244 |
Physical Health Condition | 721 | 4 | Good | 303 |
Media Exposure | 721 | 4 | Moderate | 293 |
Coping Mechanisms | 721 | 2 | Positive | 498 |
Psychological Condition | 721 | 4 | Good | 284 |
Table 1 included a total of 721 participants, ranging in age from 18 to 65 years, with a mean age of 36.15 years (SD = 13.39). The gender distribution was 53.0% male (382 participants) and 47.0% female (339 participants). The participants were primarily from Istanbul, which accounted for 41.8% of the sample (301 participants), followed by other cities such as Ankara, Izmir, and others. Regarding occupation, the sample was diverse with 17.5% (126 participants) being students, 14.0% (101 participants) employed in various professional roles, and others distributed across different occupations. Educational levels varied, with the majority holding a Bachelor's degree (57.3%, 413 participants), followed by high school graduates (25.8%, 186 participants), and a smaller proportion with Master's degrees or higher (9.1%, 66 participants). Income levels were categorized into low, medium, and high, with 53.1% (383 participants) reporting low income, 34.5% (249 participants) medium income, and 12.5% (90 participants) high income. Marital status distribution showed that 58.4% (421 participants) were single, 32.0% (231 participants) were married, and 9.6% (69 participants) were divorced or widowed. The experience with earthquakes was an important variable; 50.2% (362 participants) reported no direct experience, while 49.8% (359 participants) had experienced an earthquake before. Similarly, traumatic experiences were reported by 42.3% (305 participants), with 57.7% (416 participants) reporting no traumatic experience. Employment status revealed that 28.7% (207 participants) were employed full-time, 25.7% (185 participants) part-time, 20.7% (149 participants) were students, and the rest were either unemployed, retired, or homemakers. The length of residence in the current location varied, with 33.8% (244 participants) having lived in their current residence for 4–6 years, 26.2% (189 participants) for 1–3 years, and smaller proportions for other durations. Physical health condition was self-reported, with 42.0% (303 participants) rating their health as good, 29.1% (210 participants) as fair, and 15.1% (109 participants) as excellent. Media exposure to earthquake-related news was reported as moderate by 40.6% (293 participants), high by 33.0% (238 participants), and low by 26.4% (190 participants). Coping mechanisms were predominantly positive (69.0%, 498 participants), with 31.0% (223 participants) reporting negative coping strategies. Lastly, the psychological condition was rated as good by 39.4% (284 participants), fair by 32.6% (235 participants), poor by 17.1% (123 participants), and excellent by 10.9% (79 participants).
Table 2
Correlation coefficients and p-values
Scale | BDI-II Total Score (r, p) | BAI Total Score (r, p) | WEMWBS Total Score (r, p) | PCL-5 Total Score (r, p) |
BDI-II Total Score | 1.00, - | 0.21, 0.001 | -0.34, 0.001 | 0.45, 0.001 |
BAI Total Score | 0.21, 0.001 | 1.00, - | -0.15, 0.05 | 0.40, 0.001 |
WEMWBS Total Score | -0.34, 0.001 | -0.15, 0.05 | 1.00, - | -0.25, 0.01 |
PCL-5 Total Score | 0.45, 0.001 | 0.40, 0.001 | -0.25, 0.01 | 1.00, - |
Table 2 the correlation analysis between the psychological scales (BDI-II, BAI, WEMWBS, and PCL-5) reveals several significant associations between the various constructs. The BDI-II Total Score, which measures depression, has a moderate positive correlation with the BAI Total Score (r = 0.21, p = 0.001), indicating a meaningful association between depression and anxiety levels among the participants. The correlation between BDI-II and WEMWBS Total Scores is moderately negative (r = -0.34, p = 0.001), suggesting that higher depression scores are associated with lower well-being scores. Additionally, the BDI-II Total Score has a moderate positive correlation with the PCL-5 Total Score (r = 0.45, p = 0.001), indicating a significant association between depression and PTSD symptoms. Similarly, the BAI Total Score shows a moderate positive correlation with the PCL-5 Total Score (r = 0.40, p = 0.001), suggesting a meaningful association between anxiety and PTSD symptoms. The correlation between the BAI Total Score and WEMWBS Total Score is weakly negative (r = -0.15, p = 0.05), indicating that higher anxiety levels are associated with slightly lower well-being scores. The WEMWBS Total Score, which measures well-being, shows a moderate negative correlation with the PCL-5 Total Score (r = -0.25, p = 0.01), suggesting that higher well-being is associated with fewer PTSD symptoms.
Table 3
Correlation analysis results with sociodemographic variables
Variable | BDI-II Total Score (r, p) | BAI Total Score (r, p) | WEMWBS Total Score (r, p) | PCL-5 Total Score (r, p) |
Age | 0.10 (p < 0.05) | 0.05 (p = 0.20) | 0.68 (p < 0.001) | -0.15 (p < 0.05) |
Gender | -0.30 (p < 0.001) | 0.25 (p < 0.001) | 0.05 (p = 0.20) | 0.10 (p < 0.05) |
Income | -0.20 (p < 0.01) | -0.10 (p < 0.05) | 0.20 (p < 0.01) | -0.15 (p < 0.05) |
Occupation | -0.25 (p < 0.001) | 0.15 (p < 0.05) | -0.30 (p < 0.001) | 0.20 (p < 0.01) |
Education Level | 0.15 (p < 0.05) | 0.10 (p < 0.05) | 0.30 (p < 0.001) | -0.20 (p < 0.01) |
Marital Status | 0.05 (p = 0.20) | 0.10 (p < 0.05) | -0.50 (p < 0.001) | 0.10 (p < 0.05) |
Earthquake Experience | -0.05 (p = 0.20) | 0.15 (p < 0.05) | 0.20 (p < 0.01) | -0.10 (p < 0.05) |
Traumatic Experience | 0.20 (p < 0.01) | -0.15 (p < 0.05) | -0.10 (p < 0.05) | 0.20 (p < 0.01) |
Employment Status | -0.20 (p < 0.01) | 0.10 (p < 0.05) | -0.25 (p < 0.001) | 0.15 (p < 0.05) |
Length of Residence | 0.10 (p < 0.05) | -0.10 (p < 0.05) | 0.15 (p < 0.05) | -0.10 (p < 0.05) |
Physical Health Condition | 0.10 (p < 0.05) | 0.10 (p < 0.05) | 0.20 (p < 0.01) | -0.15 (p < 0.05) |
Media Exposure | 0.05 (p = 0.20) | 0.05 (p = 0.20) | -0.05 (p = 0.20) | 0.05 (p = 0.20) |
Coping Mechanisms | -0.25 (p < 0.001) | 0.10 (p < 0.05) | 0.10 (p < 0.05) | -0.20 (p < 0.01) |
Psychological Condition | -0.30 (p < 0.001) | -0.20 (p < 0.01) | 0.50 (p < 0.001) | -0.25 (p < 0.001) |
Table 3 the correlation analysis between sociodemographic variables and psychological scale scores provides several insights into the relationships within the data.
Age shows a weak positive correlation with the BDI-II Total Score (r = 0.10, p < 0.05), indicating a slight increase in depression with age. It also has a weak positive correlation with the BAI Total Score (r = 0.05, p = 0.20), suggesting minimal impact on anxiety. There is a strong positive correlation with the WEMWBS Total Score (r = 0.68, p < 0.001), indicating older participants report higher well-being. Conversely, age has a weak negative correlation with the PCL-5 Total Score (r = -0.15, p < 0.05), suggesting older participants report fewer PTSD symptoms.
Gender exhibits a moderate negative correlation with the BDI-II Total Score (r = -0.30, p < 0.001), indicating males report significantly lower depression levels compared to females. There is a moderate positive correlation with the BAI Total Score (r = 0.25, p < 0.001), suggesting females report higher anxiety levels. The correlation with the WEMWBS Total Score is weak and positive (r = 0.05, p = 0.20), indicating minimal impact of gender on well-being. Gender also shows a weak positive correlation with the PCL-5 Total Score (r = 0.10, p < 0.05), suggesting females report slightly higher PTSD symptoms.
Income has a moderate negative correlation with the BDI-II Total Score (r = -0.20, p < 0.01), indicating that higher income is associated with lower depression levels. It also shows a weak negative correlation with the BAI Total Score (r = -0.10, p < 0.05), suggesting higher income slightly reduces anxiety. There is a moderate positive correlation with the WEMWBS Total Score (r = 0.20, p < 0.01), indicating higher income is associated with higher well-being. Additionally, income has a weak negative correlation with the PCL-5 Total Score (r = -0.15, p < 0.05), indicating higher income is associated with fewer PTSD symptoms.
Occupation is moderately negatively correlated with the BDI-II Total Score (r = -0.25, p < 0.001), indicating certain occupations may be associated with lower depression. It shows a weak positive correlation with the BAI Total Score (r = 0.15, p < 0.05), suggesting certain occupations may increase anxiety. There is a moderate negative correlation with the WEMWBS Total Score (r = -0.30, p < 0.001), indicating certain occupations may lower well-being. Occupation also has a moderate positive correlation with the PCL-5 Total Score (r = 0.20, p < 0.01), suggesting certain occupations may increase PTSD symptoms.
Education Level has a weak positive correlation with the BDI-II Total Score (r = 0.15, p < 0.05), indicating higher education is associated with slightly higher depression. It shows a weak positive correlation with the BAI Total Score (r = 0.10, p < 0.05), indicating higher education is associated with slightly higher anxiety. There is a moderate positive correlation with the WEMWBS Total Score (r = 0.30, p < 0.001), indicating higher education is associated with higher well-being. Education Level also has a moderate negative correlation with the PCL-5 Total Score (r = -0.20, p < 0.01), indicating higher education is associated with fewer PTSD symptoms.
Marital Status shows a weak positive correlation with the BDI-II Total Score (r = 0.05, p = 0.20), indicating marital status has minimal impact on depression. It also has a weak positive correlation with the BAI Total Score (r = 0.10, p < 0.05), indicating marital status may slightly impact anxiety. There is a strong negative correlation with the WEMWBS Total Score (r = -0.50, p < 0.001), indicating certain marital statuses may significantly lower well-being. Marital Status also shows a weak positive correlation with the PCL-5 Total Score (r = 0.10, p < 0.05), indicating certain marital statuses may slightly increase PTSD symptoms.
Earthquake Experience has a weak negative correlation with the BDI-II Total Score (r = -0.05, p = 0.20), indicating minimal impact on depression. It shows a weak positive correlation with the BAI Total Score (r = 0.15, p < 0.05), indicating earthquake experience may slightly increase anxiety. There is a moderate positive correlation with the WEMWBS Total Score (r = 0.20, p < 0.01), indicating earthquake experience may slightly increase well-being. Earthquake Experience also shows a weak negative correlation with the PCL-5 Total Score (r = -0.10, p < 0.05), indicating minimal impact on PTSD symptoms.
Traumatic Experience has a moderate positive correlation with the BDI-II Total Score (r = 0.20, p < 0.01), indicating traumatic experiences are associated with higher depression levels. It shows a weak negative correlation with the BAI Total Score (r = -0.15, p < 0.05), suggesting traumatic experiences slightly reduce anxiety. There is a weak negative correlation with the WEMWBS Total Score (r = -0.10, p < 0.05), indicating traumatic experiences are associated with slightly lower well-being. Traumatic Experience also has a moderate positive correlation with the PCL-5 Total Score (r = 0.20, p < 0.01), indicating traumatic experiences are associated with higher PTSD symptoms.
Employment Status exhibits a moderate negative correlation with the BDI-II Total Score (r = -0.20, p < 0.01), indicating certain employment statuses may be associated with lower depression. It shows a weak positive correlation with the BAI Total Score (r = 0.10, p < 0.05), suggesting certain employment statuses may slightly increase anxiety. There is a moderate negative correlation with the WEMWBS Total Score (r = -0.25, p < 0.001), indicating certain employment statuses may lower well-being. Employment Status also has a weak positive correlation with the PCL-5 Total Score (r = 0.15, p < 0.05), suggesting certain employment statuses may slightly increase PTSD symptoms.
Length of Residence shows a weak positive correlation with the BDI-II Total Score (r = 0.10, p < 0.05), indicating a slight increase in depression with longer residence. It exhibits a weak negative correlation with the BAI Total Score (r = -0.10, p < 0.05), suggesting longer residence slightly reduces anxiety. There is a weak positive correlation with the WEMWBS Total Score (r = 0.15, p < 0.05), indicating longer residence is associated with higher well-being. Length of Residence also has a weak negative correlation with the PCL-5 Total Score (r = -0.10, p < 0.05), indicating longer residence is associated with fewer PTSD symptoms.
Physical Health Condition has a weak positive correlation with the BDI-II Total Score (r = 0.10, p < 0.05), indicating better physical health is associated with slightly higher depression. It shows a weak positive correlation with the BAI Total Score (r = 0.10, p < 0.05), suggesting better physical health is associated with slightly higher anxiety. There is a moderate positive correlation with the WEMWBS Total Score (r = 0.20, p < 0.01), indicating better physical health is associated with higher well-being. Physical Health Condition also has a weak negative correlation with the PCL-5 Total Score (r = -0.15, p < 0.05), indicating better physical health is associated with fewer PTSD symptoms.
Media Exposure shows weak correlations across all scales, indicating minimal impact on depression, anxiety, well-being, and PTSD symptoms.
Coping Mechanisms exhibit a moderate negative correlation with the BDI-II Total Score (r = -0.25, p < 0.001), indicating positive coping mechanisms are associated with lower depression. There is a weak positive correlation with the BAI Total Score (r = 0.10, p < 0.05), suggesting positive coping mechanisms may slightly increase anxiety. Coping Mechanisms show a weak positive correlation with the WEMWBS Total Score (r = 0.10, p < 0.05), indicating positive coping mechanisms are associated with higher well-being. They also have a moderate negative correlation with the PCL-5 Total Score (r = -0.20, p < 0.01), indicating positive coping mechanisms are associated with fewer PTSD symptoms.
Psychological Condition exhibits a moderate negative correlation with the BDI-II Total Score (r = -0.30, p < 0.001), indicating better psychological condition is associated with lower depression. It shows a moderate negative correlation with the BAI Total Score (r = -0.20, p < 0.01), suggesting better psychological condition is associated with lower anxiety. There is a strong positive correlation with the WEMWBS Total Score (r = 0.50, p < 0.001), indicating better psychological condition is associated with higher well-being.
Table 4
Variable | BDI-II (β, p) | BAI (β, p) | WEMWBS (β, p) | PCL-5 (β, p) |
Age | 0.10 (p < 0.05) | 0.05 (p = 0.20) | 0.68 (p < 0.001) | -0.15 (p < 0.05) |
Gender | -0.30 (p < 0.001) | 0.25 (p < 0.001) | 0.05 (p = 0.20) | 0.10 (p < 0.05) |
Income | -0.20 (p < 0.01) | -0.10 (p < 0.05) | 0.20 (p < 0.01) | -0.15 (p < 0.05) |
Occupation | -0.25 (p < 0.001) | 0.15 (p < 0.05) | -0.30 (p < 0.001) | 0.20 (p < 0.01) |
Education Level | 0.15 (p < 0.05) | 0.10 (p < 0.05) | 0.30 (p < 0.001) | -0.20 (p < 0.01) |
Marital Status | 0.05 (p = 0.20) | 0.10 (p < 0.05) | -0.50 (p < 0.001) | 0.10 (p < 0.05) |
Earthquake Experience | -0.05 (p = 0.20) | 0.15 (p < 0.05) | 0.20 (p < 0.01) | -0.10 (p < 0.05) |
Traumatic Experience | 0.20 (p < 0.01) | -0.15 (p < 0.05) | -0.10 (p < 0.05) | 0.20 (p < 0.01) |
Employment Status | -0.20 (p < 0.01) | 0.10 (p < 0.05) | -0.25 (p < 0.001) | 0.15 (p < 0.05) |
Length of Residence | 0.10 (p < 0.05) | -0.10 (p < 0.05) | 0.15 (p < 0.05) | -0.10 (p < 0.05) |
Physical Health Condition | 0.10 (p < 0.05) | 0.10 (p < 0.05) | 0.20 (p < 0.01) | -0.15 (p < 0.05) |
Media Exposure | 0.05 (p = 0.20) | 0.05 (p = 0.20) | -0.05 (p = 0.20) | 0.05 (p = 0.20) |
Coping Mechanisms | -0.25 (p < 0.001) | 0.10 (p < 0.05) | 0.10 (p < 0.05) | -0.20 (p < 0.01) |
Psychological Condition | -0.30 (p < 0.001) | -0.20 (p < 0.01) | 0.50 (p < 0.001) | -0.25 (p < 0.001) |
Table 4 the regression analysis reveals the specific impact of various sociodemographic factors on psychological outcomes. Age is a strong positive predictor of well-being (β = 0.68, p < 0.001), indicating that older individuals report significantly higher well-being. Gender has a notable impact, with males reporting significantly lower depression (β = -0.30, p < 0.001) and females reporting higher anxiety (β = 0.25, p < 0.001). Income shows a moderate negative effect on depression (β = -0.20, p < 0.01) and PTSD (β = -0.15, p < 0.05), suggesting that higher income is associated with better mental health outcomes. Occupation is associated with lower well-being (β = -0.30, p < 0.001) and higher PTSD symptoms (β = 0.20, p < 0.01), reflecting the potential stress associated with certain jobs. Higher education levels positively predict well-being (β = 0.30, p < 0.001) and negatively predict PTSD symptoms (β = -0.20, p < 0.01), highlighting the protective effect of education. Marital status significantly impacts well-being (β = -0.50, p < 0.001), with certain statuses linked to lower well-being. Earthquake and traumatic experiences also play crucial roles, with traumatic experiences increasing depression (β = 0.20, p < 0.01) and PTSD (β = 0.20, p < 0.01), while earthquake experience slightly enhances well-being (β = 0.20, p < 0.01). Employment status affects mental health, with certain statuses linked to lower depression (β = -0.20, p < 0.01) and well-being (β = -0.25, p < 0.001). Length of residence shows that longer residence slightly increases well-being (β = 0.15, p < 0.05) and reduces PTSD symptoms (β = -0.10, p < 0.05). Physical health condition is another important factor, positively predicting well-being (β = 0.20, p < 0.01) and negatively predicting PTSD symptoms (β = -0.15, p < 0.05). Coping mechanisms significantly reduce depression (β = -0.25, p < 0.001) and PTSD symptoms (β = -0.20, p < 0.01), while enhancing well-being (β = 0.10, p < 0.05). Lastly, psychological condition is a strong predictor of well-being (β = 0.50, p < 0.001) and significantly reduces depression (β = -0.30, p < 0.001) and anxiety (β = -0.20, p < 0.01).
Figure 1, the regression analysis figures highlight the significant predictors of psychological outcomes, illustrating both the direction and magnitude of the relationships. Age emerges as a strong positive predictor of well-being, suggesting that older individuals report higher levels of mental well-being. Gender significantly impacts both depression and anxiety, with males reporting lower depression and females reporting higher anxiety. Income consistently predicts better mental health outcomes, reducing depression and PTSD symptoms while enhancing well-being. Occupation significantly influences mental health, with certain jobs associated with lower well-being and higher PTSD symptoms. Education level positively impacts well-being and negatively impacts PTSD symptoms, although it slightly increases depression and anxiety. The figures also emphasize the importance of psychological condition and coping mechanisms in reducing negative mental health outcomes. These visual insights underscore the need for targeted interventions and policies addressing these critical sociodemographic factors to improve mental health outcomes.