Descriptive statistics (means with standard deviations or frequency distributions) on age, education, work status, and perceived adequacy of income were calculated for each sample and for the combined samples. Comparisons of such demographic variables between the three samples were done using one-way ANOVA for comparing age, the chi-squared test for comparing work status, and Fisher exact test for comparing education and perceived adequacy of income [Table 1 ].
The internal consistency reliability and the test-retest reliability of the Arabic PSS-10 were assessed using Cronbach's alpha coefficient and Spearman's correlation coefficient (rho) respectively. Internal consistency was evaluated for the combined sample as well as for each of the three women groups (student, pregnant, and postpartum) [Table2 ]. The test-retest reliability was performed for the combined group of all women who accepted to do the retest. Subgroup reliability measures were computed for the student group and the combined pregnant and postpartum participants since only 4 pregnant women did the retest.
Exploratory factor analysis was performed using principal components with varimax rotation [Table3 ]. Mean PSS-10 and GHQ-12 scores were compared between the three groups using the one-way ANOVA. Post-hoc comparisons were done using Bonferroni's method. Mean EPDS scores were compared between the pregnant women group and the postpartum women group using the independent t-test [Table 4 ].
Questions about stressful life events were coded from 0 (event did not occur or event occurred and the participant said that it had no impact on her) to 3 (event occurred and participant said it had a severe impact on her) with increasing values indicating increased impact of the event on a person's life. A stressful life event score was computed by adding the scores of all the questions about stressful life events. This event score was compared among the three groups using the Kruskal-Wallis test. Post-hoc comparisons were made using Bonferroni's method. Its correlation with the PSS-10 score was computed using Spearman's correlation coefficient. Finally, a multivariable analysis of covariance (ANCOVA) regression model was fit with PSS-10 score as the response variable and group as the independent variable (using two indicator variables as group is a nominal variable) while adjusting for the following covariates: age, educational level, stressful life event score, work status, and perceived income adequacy.
The internal consistency reliability and the test-retest reliability of the Arabic PSS-10 were assessed using Cronbach's alpha coefficient and Spearman's correlation coefficient (rho) respectively. Internal consistency was evaluated for the combined sample as well as for each of the three women groups (student, pregnant, and postpartum) [Table
Exploratory factor analysis was performed using principal components with varimax rotation [Table
Questions about stressful life events were coded from 0 (event did not occur or event occurred and the participant said that it had no impact on her) to 3 (event occurred and participant said it had a severe impact on her) with increasing values indicating increased impact of the event on a person's life. A stressful life event score was computed by adding the scores of all the questions about stressful life events. This event score was compared among the three groups using the Kruskal-Wallis test. Post-hoc comparisons were made using Bonferroni's method. Its correlation with the PSS-10 score was computed using Spearman's correlation coefficient. Finally, a multivariable analysis of covariance (ANCOVA) regression model was fit with PSS-10 score as the response variable and group as the independent variable (using two indicator variables as group is a nominal variable) while adjusting for the following covariates: age, educational level, stressful life event score, work status, and perceived income adequacy.
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