ELIOIDOSIS: EPIDEMIOLOGY, CLINICAL CHARACTERISTICS, DIAGNOSIS AND TREATMENT

2018 ◽  
Vol 8 (3) ◽  
pp. 7-10
Author(s):  
Thao Nguyen Thi Phuong ◽  
Chuong Tran Xuan

Brackground: Prevalence of postpartum depression after giving birth 3 months and within 12 months are about 15% and 15-25%, respectively. This disorder leads to severe consequences to both mother and the child. Aims: 1) To examine prevalence of depression among women aged 18 and oder after giving birth within 12 months by Vietnamese Edinburgh Postanatal Depression Scale (EPDS). 2) To analyse several factors related to postpartum depression. Methods: This was a descriptive cross – sectional study. Total of 226 women aged 18 and older after giving birth within 12 months living in Thuan Hoa và Thuy Bieu districts, Hue city were assessed by EPDS - Vietnamese version to investigate the rate of postpartum depression. A Semi – structure questionaire was used to examine related factors to postpartum depression. Multivariables logistic regression method was used to analyse factors affects to postpartum depression in participants. Results: The postpartum depression prevalence in women aged 18 and older after giving birth within 12 months by EPDS – Vietnamese version was 15.9%. Multivariables logistic regression analysis indicated several factors associated with postnatal depression in particippants including unstable job, poor economic status, being sick in pregnancy, uexpected pregnancy, unsatisfied with gender of the baby, poor relationship with her husband, helplessness from others in caring the babies and selfcare, suffering from severe insomnia, thinking sexual relationship not so important after childbirth, decreasing sexsual desire, children often crying at night. Conclusions: prevalence of postpartum depression was quite hight therefore women after childbirth need to be supported both emotional and physical dimention to prevent developing postpartum depression. Key words: Postpartum depression, Edinburgh Postanatal Depression Scale, (EPDS)

2018 ◽  
Vol 8 (3) ◽  
pp. 12-18
Author(s):  
Thuy Le Thi ◽  
Hang Tran Nhu Minh

Brackground: Prevalence of postpartum depression after giving birth 3 months and within 12 months are about 15% and 15-25%, respectively. This disorder leads to severe consequences to both mother and the child. Aims: 1) To examine prevalence of depression among women aged 18 and oder after giving birth within 12 months by Vietnamese Edinburgh Postanatal Depression Scale (EPDS). 2) To analyse several factors related to postpartum depression. Methods: This was a descriptive cross – sectional study. Total of 226 women aged 18 and older after giving birth within 12 months living in Thuan Hoa và Thuy Bieu districts, Hue city were assessed by EPDS - Vietnamese version to investigate the rate of postpartum depression. A Semi – structure questionaire was used to examine related factors to postpartum depression. Multivariables logistic regression method was used to analyse factors affects to postpartum depression in participants. Results: The postpartum depression prevalence in women aged 18 and older after giving birth within 12 months by EPDS – Vietnamese version was 15.9%. Multivariables logistic regression analysis indicated several factors associated with postnatal depression in particippants including unstable job, poor economic status, being sick in pregnancy, uexpected pregnancy, unsatisfied with gender of the baby, poor relationship with her husband, helplessness from others in caring the babies and selfcare, suffering from severe insomnia, thinking sexual relationship not so important after childbirth, decreasing sexsual desire, children often crying at night. Conclusions: prevalence of postpartum depression was quite hight therefore women after childbirth need to be supported both emotional and physical dimention to prevent developing postpartum depression. Key words: Postpartum depression, Edinburgh Postanatal Depression Scale, (EPDS)


2020 ◽  
Vol 20 (4) ◽  
pp. 1943-54
Author(s):  
Adeyemo EO ◽  
Oluwole EO ◽  
Kanma-Okafor OJ ◽  
Izuka OM ◽  
Odeyemi KA

Background: Globally, postpartum depression is one of the most common but often unrecognized complications of childbirth, yearly affecting about 10–15% of postnatal women. This study aimed to determine the prevalence of postpartum depression and its predictors among postnatal women in Lagos. Methods: A descriptive cross-sectional study was conducted among 250 mothers in Eti-Osa Local Government Area of Lagos State, Nigeria, attending six Primary Health Care centers for infant immunization at six weeks post-delivery. Data was collected using a pretested semi-structured interviewer administered questionnaire which included the Edinburgh Postnatal Depression Scale. Analysis was carried out using SPSS version 23TM. Chi-square and logistic regression analyses were used to determine associations and predictive relationships between various factors and the presence of postpartum depression. The level of significance was set at <0.05. Results: The prevalence of postpartum depression was 35.6%. Multiparity, delivery by cesarean section, mother being unwell after delivery, and not exclusively breastfeeding the baby were the factors linked with postpartum depression. Following multiple logistic regression, having postpartum blues (p=0.000; OR=32.77; 95%CI=7.23-148.58)., not getting help with caring for the baby (p=0.008; OR=2.64; 95%CI=1.29-5.42), experiencing intimate partner violence (p=0.000; OR=5.2; 95%CI=2.23-11.91) and having an unsupportive partner (p=0.018; OR=2.6; 95%CI=1.17-5.78) were identified as predic- tors of postpartum depression. Conclusion: This study revealed a high prevalence of postpartum depression, identifying both the obstetric and psycho- social predictors. Social support for women both in the pre- and postnatal periods and routine screening of women for postpartum depression should be encouraged for early detection and immediate intervention. Keywords: Postpartum depression; PPD; Eti-Osa; postnatal women; Lagos.


Author(s):  
Jayashree Kannappan ◽  
Abhilash Kannappan ◽  
V. S. Prema Subathiraa ◽  
Shanthi Dinakaran ◽  
P. S. Jikki Kalaselvi

Background: Women are twice as likely as males to suffer from mood disorders, which tend to cluster around the childbearing years. Depression negatively influences maternal and neonatal outcomes. Objective: The objective of the study is to estimate the prevalence of depression in pregnant women aged 18 – 35 yrs and to identify predictors accounting for variability across estimates during pandemic. Methodology: This is a cross sectional study, conducted among 74 pregnant women coming for antenatal checkups in the Sriperumbudur, Chennai. Using height and weight values obtained from the sample, Body Mass Index (weight in kg/height in metre squares) was calculated. Hamilton – Depression Scale (HAM-d) was applied after initial psychiatry work up to all women who were selected for the interview. Mean of parameters were assessed and correlation value were calculated by Fisher’s exact test. The statistically significant P value was less than 0.05. Results: The sociodemographic variables have been found as significant contributors in explaining the variability of the prevalence rates of antenatal depression. It showed positive correlation between economic status and depression (p<0.05) and a negative correlation between obesity and depression (p>0.05). According to the findings, fewer than 1/3rd of pregnant women experience depression as a result of life circumstances such as economic crises in order to support their families. These were identified as significant associate variables (P>0.05). And also, this study identified insufficient socioeconomic assistance were more likely to experience multiple psychological discomfort [atleast 1] than women who got appropriate economic support. (r = -0.118, P < 0.001) Conclusion: In rural Tamilnadu, the prevalence of antenatal depression among women is significant. Antenatal Depression is caused by a number of circumstances, including physical, obstetric, economic, and family-related issues. To treat these antenatal depression risk factors, comprehensive therapies are required.


2020 ◽  
Author(s):  
Peiqin Liang ◽  
Yiding Wang ◽  
Si Shi ◽  
Yan Liu ◽  
Ribo Xiong

Abstract Background: The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic.Methods: A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6-12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD.Results: The prevalence of PPD among women at 6-12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures.Conclusions: The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also targeting disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.


Author(s):  
Tri Siswati ◽  
Stella Benita ◽  
Iswari Paramita ◽  
Joko Susilo ◽  
Lukman Waris ◽  
...  

Background: The number of coronavirus disease 2019 (COVID-19) cases in Indonesia keeps increasing even though the Indonesian government continuously communicates mitigation strategies. This study aimed to- estimate the proportion of risk perception towards COVID-19 behavioural adaptation recommendations and examine its sociodemographic determinants in Indonesia.Methods: An online-based cross-sectional study was conducted among 1,007 individuals aged 15-60 years old. Our primary outcome was risk perception towards COVID-19 behavioural adaptations. Independent variables included sociodemographic factors such as sex, age, educational level, type of occupation, family size, economic status, and regions. Descriptive statistics, univariate logistic regression, and multiple logistic regression were performed to analyse the data.Results: Around 78% of participants had a high level of risk perception related to COVID-19 behavioural adaptation recommendations. Among the participants, being females (AOR= 2.40; 95% CI: 1.76-3.27) and health professionals (AOR= 1.42; 95% CI: 0.64-1.44) were significantly associated with higher risk perceptions. In contrast, residing in Kalimantan and Sulawesi (AOR= 0.43; 95% CI: 0.23-0.79) and Eastern Indonesia (AOR= 0.43; 95% CI: 0.21-0.88) were significantly associated with lower risk perceptions.Conclusions: Despite the high levels of risk perceptions among the Indonesian population, sociodemographic variations drove the risk perception of behavioural adaptation recommendations concerning COVID-19.


2020 ◽  
Author(s):  
Peiqin Liang ◽  
Yiding Wang ◽  
Si Shi ◽  
Yan Liu ◽  
Ribo Xiong

Abstract Background: The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic.Methods: A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6-12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD.Results: The prevalence of PPD among women at 6-12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures.Conclusions: The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also target disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Peiqin Liang ◽  
Yiding Wang ◽  
Si Shi ◽  
Yan Liu ◽  
Ribo Xiong

Abstract Background The 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. To date, there are limited studies that have investigated the impact of COVID-19 pandemic on mental health among female population. Therefore, the study aims to investigate the prevalence of postpartum depression (PPD) and it’s related factors among women in Guangzhou, China, during the COVID-19 pandemic. Methods A cross-sectional study was performed from 30th March 2020 to 13th April 2020 using anonymous online questionnaire among 864 women at 6–12 weeks postpartum. The Chinese version of Edinburgh Postnatal Depression Scale and a questionnaire regarding associated factors were administered to all participants. Multivariate logistic regression was used to determine factors that were significantly associated with PPD. Results The prevalence of PPD among women at 6–12 weeks postpartum was 30.0%. A multivariate logistic regression model identified significant factors as: immigrant women, persistent fever, poor social support, concerns about contracting COVID-19 and certain precautionary measures. Conclusions The findings suggest the need for policies and interventions to not only mitigate the psychological impacts but also target disadvantaged sub-groups of women following childbirth during the COVID-19 pandemic.


2015 ◽  
pp. 153-161
Author(s):  
Thi Bach Yen Hoang ◽  
Thi Hai Pham ◽  
Dinh Tuyen Hoang ◽  
Thi Huong Le ◽  
Van Thang Vo

Food consumption survey is an essential parts of nutrition surveys. It helps to determine the type and quantity of food consumed, assessing the balance of the diet, the relationship between nutrient intake and health, diseases, and economic status, culture society... There are many methods to investigate food consumption. 24-hour food record is a method that record all food consumed by the subject during previous 24 hours. Using this method in chidren helps to assess the their diet to see if it responses the demand in order to have proper nutrition. Objectives: 1. Calculating the number of each food groups consumed within 24 hours of children 1 to 5 years in Phuoc Vinh ward, Hue City; 2. Assessing the quality of their diet and some related factors. Methodology: A cross-sectional study was implemented on 200 pairs of children aged 1 to 5 and parents or caregivers living in Phuoc Vinh ward, Hue city and some related factors. Results: 82% of the children’s diets covered 4 food groups. Prevalence of glucide, protein, lipide out of the total energy intake were 44.1%, 19.5%, 36.3% respectively within group of 12-<48 months and 50%, 19.5%, 30.6% respectively within group of 48-<72 months. Total energy and protein intake were higher than demanded (p <0.05) while glucide and lipide were lower than demanded (p <0.05). Economical status of family was significant associated with variety of food (all 4 food groups) in the diet of children (p <0.05) and total energy consumed (p <0.05). Conclusion: The children did not have proper nutrition so further research need to be implemented to have suitable interventions. Key words: 24 hours food records, children aged 1 to 5, Hue city.


2020 ◽  
Vol 16 ◽  
Author(s):  
Salman Khazaei ◽  
Erfan Ayubi ◽  
Saeid Bashirian ◽  
Ronak Hamzehei ◽  
Ensiyeh Jenabi

Background: The relationship between gestational diabetes and postpartum depression (PPD) is poorly understood and seldom studied. Objective: In an effort to explore this issue, the present study investigated the relationship between gestational diabetes and PPD. Methods: The present cross-sectional study was performed with 342 women who were referred to four urban health centers of Hamadan city, west of Iran. We used convenience sampling as a method to recruit women in each health center. We used a researcher-made checklist for gathering data on socio-demographic characteristics and potential risk factors of PPD. The Persian validated version of the Edinburgh Postnatal Depression Scale (EPDS) was used to assess PPD. Univariate and multivariable binary logistic regression was applied to estimate the odds ratio (OR) (95% confidence interval [CI]). Results: Gestational diabetes was identified as the most important risk factor for PPD with OR (95% CI) of 2.19 (1.11, 4.31); P-value=0.02 after adjusting for other variables. Moreover, the adjusted odds ratio showed that PPD among lesseducated women (primary school) was 3.5 times higher compared to women with a university education (OR=3.54, 95% CI: 1.27, 9.84; P-value=0.01). Conclusion: Our findings suggested that PPD is more likely among women with gestational diabetes and those who were less educated. Interventional and educational activities for reducing the risk of PPD can be targeted for use with this population.


2021 ◽  
pp. 002076402110001
Author(s):  
Esra’ O Taybeh

Background: The magnitude of postpartum depression in Jordan is under documented, and little is known about its potential sociodemographic and clinical correlates. Purpose: The aim of this study was to explore the prevalence and risk factors associated with postpartum depression among Jordanian mothers in the first 18 months after delivery. Method: This descriptive cross-sectional study was carried out from April to June 2020 in Jordan. A web-based survey was used for recruiting eligible participants. An Arabic version of the validated self-administered Edinburgh Postnatal Depression Scale questionnaire was used to measure postpartum depression with a cut-off score of ⩾12 which indicates probable depression. Results: A total of 1,071 Jordanian women participated in the study. Of those, 567 women had postpartum depression (52.9%). Multivariate logistic regression analysis revealed that postpartum depression was significantly associated with marital conflict (OR: 4.91; 95% CI: 2.36–10.20), negative attitude from the pregnancy (OR: 0.67; 95% CI: 0.45–0.99), unplanned pregnancies (OR: 1.73; 95% CI: 1.16–2.60), lack of social support (OR: 1.93; 95% CI: 1.12–3.32), time from last delivery (OR: 0.99; 95% CI: 0.98–1.00), insomnia (OR: 0.53; 95% CI: 0.35–0.82), and depression during the pregnancy (OR: 0.51; 95% CI: 0.33–0.78). Most of the participants (65.7%) sought social support to avoid, reduce, or treat postpartum depression. Conclusions: Postpartum depression among Jordanian women was the highest in comparison to that of women in other countries in the region. Therefore, screening for the presence of depressive symptoms should be implemented during regular pregnancy care visits. Social support should be encouraged in order to avoid, reduce, or treat postpartum depression.


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