Predictors Of Prenatal Depression Research Articles

Prenatal depression among pregnant women attending public health facilities in Babile district, Eastern Ethiopia: a cross-sectional study

BackgroundDepression during pregnancy is a significant health concern that can lead to a variety of short and long-term complications for mothers. Unfortunately, there is a lack of information available on the prevalence and predictors of prenatal depression in rural eastern Ethiopia. This study assessed prenatal depression and associated factors among pregnant women attending public health facilities in the Babile district, Eastern Ethiopia.MethodAn institution-based cross-sectional study was conducted among 329 pregnant women attending Babile District Public Health Facilities from November 1 to December 30, 2021. Bivariable and multivariable logistic regression were used to identify factors associated with prenatal depression. The adjusted odds ratio (AOR) with a 95% confidence interval was used to report the association, and the significance was declared at a p-value < 0.05.ResultsThe prevalence of prenatal depression was 33.1% (95% CI = 28.0%, 38.2%). A lower income (AOR = 3.85, 95% CI = 2.08, 7.13), contraceptive use (AOR = 0.53, 95% CI = 0.28, 0.98), unintended pregnancy (AOR = 2.24, 95% CI = 1.27, 3.98), history of depression (AOR = 5.09, 95% CI = 2.77, 9.35), poor social support (AOR = 5.08, 95% CI = 2.15, 11.99), and dissatisfied marriage (AOR = 2.37, 95% CI = 1.30, 4.33) were the factors associated with increased prenatal depression among pregnant women.ConclusionsOne in every three pregnant women in rural eastern Ethiopia had prenatal depression. Monthly income, contraceptive use, pregnancy intention, history of depression, social support, and marriage satisfaction status were the determinants of prenatal depression. Preventing unintended pregnancies by encouraging women to utilize modern contraceptive methods is essential for mitigating and controlling the risks and burdens of prenatal depression and its negative consequences.

Cumulative adversity, mindfulness, and mental health in first-time mothers experiencing low income

BackgroundSocioeconomic adversity can negatively impact the mental and physical health of mothers and their offspring. This paper extends understanding of the interrelationship of these factors during the perinatal time frame, specifically to: 1.) evaluate the impact of adverse childhood events (ACES), negative life events (NLEs), and socioeconomic factors on the mental health of low-income expecting mothers; 2) evaluate for differences by race/ethnicity in adversity predicting perinatal mental health; 3) examine how mindfulness interacts with socioeconomic adversity in predicting prenatal mental health. Methods202 predominately non-white primiparous females with household income at or below 200% of the federal poverty level participated. Measures included ACEs, NLEs, and several descriptors of socioeconomic status. Resilience and mindfulness were measured as possible protective factors. In the sequence of socioeconomic factors, ACEs, and NLEs, hierarchical multiple regression tested these measures as predictors of prenatal depression and anxiety, also evaluating for interaction effects. ResultsControlling for socioeconomic factors, higher ACEs and NLEs independently predicted worse prenatal mental health. Cumulative socioeconomic risk interacted with ACEs to predict higher prenatal anxiety and more accurately predict prenatal depression scores. Higher mindfulness predicted lower anxiety and depression regardless of adversity, but was also significantly negatively correlated with ACEs. LimitationsGeneralizability of results are limited by the sample size and specific geographic region. ConclusionSocioeconomic and psychosocial adversity cumulatively impact prenatal mental health. Mindfulness may be a valuable target for resilience-enhancing interventions prepartum but is not a solution to the clear detriments that social and economic marginalization have on mental health.

Predictors of Prenatal Depression: A Cross-Sectional Study in Rural Pakistan

Objective: To determine the prevalence and association of prenatal depression with socioeconomic, demographic and personal factors among pregnant women living in Kallar Syedan, Rawalpindi, Pakistan.Methods: Five hundred women in the second and third trimester of pregnancy, living in Kallar Syedan, a rural area of district Rawalpindi Pakistan, were included in the study. Depression was assessed using “Patient health questionnaire” (PHQ9) in Urdu, with a cut-off score of 10. Multi-dimensional scale of perceived social support (MSPSS) was used to assess perceived social support. Life Events and Difficulties Schedule (LEDS) were used to measure stressful life events in past 1 year. Tool to assess intimate partner violence (IPV) was based on WHO Multi Country Study on “Women's Health and Domestic Violence against Women.”Results: Prevalence of prenatal depression was found to be 27%. Number of pregnancies was significantly associated with prenatal depression (p < 0.01). Women living in a joint family and those who perceived themselves as moderately satisfied or not satisfied with their life in the next 4 years were found to be depressed (p < 0.01, OR 6.9, CI 1.77–26.73). Depressive symptomatology in women who experienced more than five stressful life events in last 1 year was three times higher (p < 0.001, OR 3.2, CI 1.68–5.98) than in women with 1–2 stressful events. Women who were supported by their significant others or their family members had 0.9 times (p < 0.01, OR 0.9, CI 0.85–0.96) less chance of getting depressed. Pregnant women who were psychologically abused by their partners were 1.5 times more depressed (p < 0.05 CI 1.12–2.51). Odds of having depression was also high in women who had less mean score of MSSI (p < 0.05, OR 1.1, CI 1.01–1.09). Women who had suitable accommodation had 0.5 times less chance of having depression than others (p < 0.05, OR 0.5, CI 0.27–0.92).Conclusion: Over a quarter of the women in the study population reported prenatal depression, which were predicted predominantly by psychosocial variables.

Body Acceptance by Pregnant Women and Their Attitudes toward Pregnancy and Maternity as Predictors of Prenatal Depression.

Background: Depressive symptoms during pregnancy may cause unfavorable consequences for both the mother and the infant’s physiological and psychological health. Recent evidence indicates that body image plays an important role in prenatal depression. The present study’s main purpose was to investigate the level of acceptance of physical appearance in pregnant women, their attitudes toward pregnancy and maternity, and some obstetric characteristics as significant predictors in the development of depression. Methods: A sample of 150 Polish pregnant women completed a set of self-report questionnaires, including the Edinburgh Postnatal Depression Scale (EPDS), Attitudes toward Maternity and Pregnancy Questionnaire (PRE-MAMA), and the Body-Self Questionnaire (EA-BSQ). All participants also answered a brief sociodemographic and obstetric information questionnaire. Results: A hierarchical binary logistic regression was conducted to predict prenatal depression from selected obstetric variables (unplanned pregnancy, multiparity, and miscarriages) and psychological variables (appearance evaluation and positive or anxious attitudes toward pregnancy and maternity). It was found that higher levels of negative evaluation of appearance increased chances of depression in pregnant women by almost one-and-a-half. The analysis revealed that positive attitudes toward pregnancy and maternity were the most important protective factor for depression. Conclusions: The results confirmed the importance of dissatisfaction with body image during pregnancy as a predictor of the onset of prenatal depression. However, in clinical practice, this risk factor should be considered in combination with positive maternal attitudes, not separately. The implications for future studies and interventions in the field of prenatal depression are discussed in this work.

Determinants of prenatal depression among women attending the antenatal clinic at a referral facility in Mombasa County, Kenya: a case control study

Background: Despite prenatal depression being a public health burden and the major predictor of postnatal depression, it has not received as much attention as postnatal depression in research and policy globally. There is limited evidence on the factors associated with prenatal depression and therefore understanding these factors will inform the design of specific interventions and formulation of guidelines for the effective prevention and control of prenatal depression particularly in high-risk regions. Methods: A hospital-based case control study design was used to identify the determinants of prenatal depression among 170 women attending an antenatal clinic. Prenatal depression was assessed using the Edinburgh Postnatal Depression Scale (EPDS). A semi-structured questionnaire was administered to collect data on the socio-demographic, social network and family, lifestyle and obstetric characteristics of the participants. All eligible cases were enrolled into the study while a simple random sample of depression-free women attending the antenatal clinic were enrolled as controls. The relationship between the predictors and prenatal depression was evaluated by logistic regression. Results: In the multivariable analysis, only marital status (adjusted odds ratio (aOR)=17.1; 95% confidence interval (CI):4.0-73.0), occupation (aOR=2.4; 95% CI:1.4-4.2), domestic violence (aOR=18.3; 95% CI: 5.7-58.7) and social support (aOR=0.2; 95% CI:0.05-0.8) were identified as significant determinants of prenatal depression. Conclusion: Marital status, occupation, domestic violence and lack of social support were the major predictors of prenatal depression in this setting. There is therefore need to implement screening for prenatal depression among pregnant women in health facilities as part of the routine antenatal care package, establish social support networks and spaces to provide an avenue for the prenatally depressed women to meet, share challenges and coping mechanisms and revise the government policy on sexual and gender based violence (SGBV) so as to strengthen efforts towards elimination of all forms of SGBV.

Rates and predictors of prenatal depression in women living with and without HIV

Depression is a significant mental health and public health concern, and women living with HIV are at increased risk for depression. This risk may be especially elevated during pregnancy; however, few studies have attempted to identify rates and predictors of depression in pregnant, HIV-infected women. The purpose of the present study was to investigate rates and predictors of prenatal depression, such as history of depression, childhood sexual abuse (CSA), and social support among HIV-infected and HIV-uninfected women in Philadelphia, Pennsylvania. It was hypothesized that pregnant women with HIV will have higher rates of depressive symptoms and will exhibit a greater number of mood disorder diagnoses as compared to HIV-uninfected pregnant women. It was also hypothesized that HIV status, history of depression, CSA, and inadequate social support will emerge as predictors of depressive symptoms. A sample of 163 women, 31% (n=50) of whom were HIV-infected and 69% (n=113) of whom were HIV-uninfected, were recruited from an obstetrics/gynecology clinic affiliated with an urban university hospital. The Center for Epidemiological Studies-Depression Scale (CES-D) was used to identify depressive symptoms, and Modules A and D of the Structured Clinical Interview for DSM-IV (SCID) confirmed the presence of a mood disorder. Findings demonstrated that rates of depressive symptoms and mood disorder diagnoses during pregnancy did not differ according to HIV serostatus. History depression, CSA, and inadequate social support predicted depressive symptoms during pregnancy in this sample. Due to their association with depressive symptoms, history of depression, CSA, and inadequate social support may be important to identify during pregnancy.

Social support and social conflict as predictors of prenatal depression.

To estimate how social support and social conflict relate to prenatal depressive symptoms and to generate a brief clinical tool to identify women at increased psychosocial risk. This is a prospective study following 1,047 pregnant women receiving care at two university-affiliated clinics from early pregnancy through 1 year postpartum. Structured interviews were conducted in the second trimester of pregnancy. Hierarchical and logistic regressions were used to examine potential direct and interactive effects of social support and conflict on prenatal depressive symptoms measured by the Center for Epidemiologic Studies-Depression Scale. Thirty-three percent of the sample reported elevated levels of depressive symptoms predicted from sociodemographic factors, social support, and social conflict. Social support and conflict had independent effects on depressive symptoms although social conflict was a stronger predictor. There was a "dose-response," with each increase in interpersonal risk factor resulting in consequent risk for probable depression based on symptom reports (Center for Epidemiologic Studies-Scale greater than or equal to 16). A composite of one social support and three conflict items were identified to be used by clinicians to identify interpersonal risk factors for depression in pregnancy. Seventy-six percent of women with a composite score of three or more high-risk responses reported depressive symptoms. Increased assessment of social support and social conflict by clinicians during pregnancy can identify women who could benefit from group or individual interventions to enhance supportive and reduce negative social interactions.