Background: Post-partum depression (PPD) is a form of postnatal depression that affects mothers. Clinical manifestations usually appear within six months after delivery. Risk factors that influence the severity of post-partum depression are not fully known in the Iraqi population.
Objectives: We aim to evaluate the risk factors and identify potential predictors that may influence the symptom levels (severity) of post-partum depression among Iraqi women from Baghdad.
Subjects and Methods: The current study is cross-sectional, and we used the Edinburgh Postnatal Depression Scale (EPDS) and a cut-off value of 13 to differentiate patients into two those with lower symptom levels (LSL) and higher symptom levels (HSL). We also explored patients' attributes, newborn-related parameters, and socio-demographics.
Results: The total sample included almost one hundred patients (n=101), including females with lower symptom levels (EPDS<=13, 48.51%) and others with higher symptom levels (EPDS>13, 51.49%). There were two significant risk factors of PPD, including marital problems (OR=3.60, 95% CI=1.54 to 8.41, p=0.003) and perinatal mood disturbances (OR=3.23, 95% CI=1.40 to 7.46, p=0.005). The former results are congruent with our multivariable ordinal regression, while path analysis and structural modeling conveyed an additional risk factor: the personal history of depression. ROC analysis did not convey any significant difference between the two groups (LSL versus HSL) based on age. However, mothers with HSL were older than the other group (29.19±0.88 versus 27.08±0.79, p=0.099).
Conclusion: Post-partum depression with higher symptom levels is frequent among Iraqi mothers. Healthcare institutes should be vigilant concerning the underlying risk factors. Intervention requires integrating the role of social workers to understand the patient's family dynamics.
Current research strives to achieve the following aims:
- Develop a scale for dominant values of Tikrit university students.
- Measuring the dominant of Tikrit university students.
- Identifying the significant differences among dominant values of Tikrit university students according to(sex, specialty, time).
- Measuring the dominant values of each one of the six fields of the scale.
- Identifying the differences in dominant values of each field according to the sex variables.
The current research has limi
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