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.
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria
The article critically analyzes traditional translation models. The most influential models of translation in the second half of the 20th century have been mentioned, among which the theory of formal and dynamic equivalence, the theory of regular correspondences, informative, situational-denotative, functional-pragmatic theory of communication levels have been considered. The selected models have been analyzed from the point of view of the universality of their use for different types and types of translation, as well as the ability to comprehend the deep links established between the original and the translation.
Аннотация
In this paper, we used maximum likelihood method and the Bayesian method to estimate the shape parameter (θ), and reliability function (R(t)) of the Kumaraswamy distribution with two parameters l , θ (under assuming the exponential distribution, Chi-squared distribution and Erlang-2 type distribution as prior distributions), in addition to that we used method of moments for estimating the parameters of the prior distributions. Bayes
Preparation and Identification of some new Pyrazolopyrin derivatives and their Polymerizations study