Associations of rumination, behavioral activation, and perceived reward with mothers’ postpartum depression during the COVID-19 pandemic: a cross-sectional study
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SUBMITTER: Matsunaga M
PROVIDER: S-EPMC10838984 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature
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Project description:Postpartum depression (PPD) is one of the mental health complications that may arise following childbirth. This cross-sectional study explores the association between socioeconomic factors and PPD literacy with PPD incidence in 350 participants (mean age: 30.58±4.72 years) at one to six months postpartum, who attended the Kuala Lumpur Health Clinic from May to October 2020. PPD incidence and literacy were assessed using the validated Malay versions of the Edinburgh Postpartum Depression Scale (EPDS) and the Postpartum Depression Literacy Scale (PoDLiS), respectively. The participants' socioeconomic characteristics were collected using a self-administered questionnaire. Chi-square tests were performed to determine the association between these factors and PPD incidence. Binary logistic regression models were used to determine the odds ratios (OR). The incidence of postpartum depressive symptoms was 14.29%. Those with low household income were twice likely to have PPD symptoms (OR:2.58, 95% CI:1.23-5.19; p = 0.01) than those with higher incomes. Unemployment (i.e., participants who were housewives/homemakers) was associated with higher PPD incidence (Χ2(2, 350) = 6.97, p = 0.03), but it was not a significant PPD predictor. In conclusion, PPD incidence in the sample of Kuala Lumpur postpartum mothers is significantly associated with low household income. Other socioeconomic characteristics, including PPD literacy, were not significant predictors of PPD incidence.
| S-EPMC8577760 | biostudies-literature
Project description:PurposeThis study investigated the prevalence of postpartum depression (PPD) and explored associated factors among mothers attending postnatal care in Bhutan.MethodsA cross-sectional study was conducted from August to November 2023 at a national referral hospital in Thimphu, the capital city of Bhutan. In total, 314 mothers were recruited. Sociodemographic, psychosocial, obstetric, and infant-related data were collected using questionnaires. The Edinburgh Postnatal Depression Scale, with a threshold of ≥11, was employed to screen for PPD, and logistic regression was used to test the potential factors.ResultsThe prevalence of PPD was 14.97%. Mothers with a perceived change in body image (adjusted odds ratio [AOR], 4.40; 95% confidence interval [CI], 1.91-10.17; p=.001), perceived heightened stress after delivery (AOR, 3.74; 95% CI, 1.45-9.67; p=.006), poor relationship with inlaws (AOR, 2.57; 95% CI, 1.24-5.30; p=. 011), and negative birth experience (AOR, 2.42; 95% CI, 1.17-5.00; p=.016) demonstrated significantly higher odds of developing PPD. However, mothers with a higher monthly family income (Bhutanese ngultrum [Nu.] 20,000 to <50,000; AOR, 0.35; 95% CI, 0.13-0.92; p=.033), ≥Nu. 50,000 (AOR, 0.37; 95% CI, 0.13-1.07, p=.067) compared to <Nu. 20,000, and advanced gestational age (37 to <41 weeks; AOR, 0.25; 95% CI, 0.09-0.71; p=.009) and ≥41 weeks (AOR, 0.08; 95% CI, 0.00-0.75; p=.028) compared to <37 weeks had significantly lower risks of PPD.ConclusionTo mitigate the prevalence and risk of PPD, prioritizing screening strategies and interventions may benefit mothers with perceived changes in body image and heightened perceived stress after delivery, poor relationships with in-laws, and those with negative birth experiences.
| S-EPMC11467251 | biostudies-literature
Project description:ObjectiveTo examine the impact of the coronavirus disease 2019 (COVID-19) pandemic and the resulting isolation measures on the risk of postpartum depression (PPD) after preterm birth.MethodsThis is a cross-sectional study of mothers of extreme and early preterm infants who completed the Edinburgh Postnatal Depression Scale (EPDS) at the standardized 3-6 months follow-up consultation for preterm infants. Mothers assessed during the COVID-19 pandemic (n = 34; from April 1, 2020 to March 31, 2021) were compared with an antecedent control group (n = 108; from January 1, 2017 to December 31, 2019). A multivariable logistic regression model was used to examine the relationship between the pandemic and the risk of PPD (EPDS score ≥13).ResultsThe prevalence of depressive symptoms was significantly higher in the COVID-19 study group (26% versus 12%, P = 0.043). The multivariable logistic regression model showed a significant association between the COVID-19 pandemic and the risk of PPD (adjusted odds ratio 3.60, 95% confidence interval 1.06-12.59, P = 0.040).ConclusionAmong mothers of extreme and early preterm infants, the COVID-19 pandemic was independently associated with a higher risk of PPD. This confirms the need for a close and long-term follow up of maternal psychological health after preterm birth.
| S-EPMC9087648 | biostudies-literature
Project description:Here we present cross-sectional data collected from 1507 participants through the Qualtrics online survey platform. Participants were recruited from Reddit, Facebook, and the Queen's University undergraduate participant pool, and were instructed to complete a pandemic stress survey, the Beck Depression Inventory-II (BDI-II) [1], the Beck Anxiety Inventory (BAI) [2], a modified version of Event-Related Rumination Inventory (ERRI) [3], and a demographics questionnaire. For the 1069 participants who were not exposed to COVID-19 infection, we calculated the sum of each scale/subscale and performed a multiple mediation analysis using MPlus. The results indicated that three models (one primary model and two alternative models) had comparable statistical power to explain the variance as we tested different configurations of predictor, mediator, and outcome variables. Given the cross-sectional nature of the present study, we could not conclude which model was most valid. Therefore, we share our original data and tested models here for others to use. They are useful for researchers who wish to replicate our results, conduct new analyses with these data, or design future studies.
| S-EPMC9792411 | biostudies-literature
Project description:Postpartum Depression (PPD), a condition that affects up to 15% of mothers in high-income countries, reduces attention to the needs of the child and is among the first causes of infanticide. PPD is usually identified using self-report measures and therefore it is possible that mothers are unwilling to report PPD because of a social desirability bias. Previous studies have highlighted the presence of significant differences in the acoustical properties of the vocalizations of infants of depressed and healthy mothers, suggesting that the mothers' behavior can induce changes in infants' vocalizations. In this study, cry episodes of infants (N = 56, 157.4 days ± 8.5, 62% firstborn) of depressed (N = 29) and non-depressed (N = 27) mothers (mean age = 31.1 years ± 3.9) are analyzed to investigate the possibility that a cloud-based machine learning model can identify PPD in mothers from the acoustical properties of their infants' vocalizations. Acoustic features (fundamental frequency, first four formants, and intensity) are first extracted from recordings of crying infants, then cloud-based artificial intelligence models are employed to identify maternal depression versus non-depression from estimated features. The trained model shows that commonly adopted acoustical features can be successfully used to identify postpartum depressed mothers with high accuracy (89.5%).
| S-EPMC7071351 | biostudies-literature
Project description:BackgroundThe outbreak of the COVID-19 pandemic has caused great panic among the public, with many people suffering from adverse stress reactions. To control the spread of the pandemic, governments in many countries have imposed lockdown policies. In this unique pandemic context, people can obtain information about pandemic dynamics on the internet. However, searching for health-related information on the internet frequently increases the possibility of individuals being troubled by the information that they find, and consequently, experiencing symptoms of cyberchondria.ObjectiveWe aimed to examine the relationships between people's perceived severity of the COVID-19 pandemic and their depression, anxiety, and stress to explore the role of cyberchondria, which, in these relationship mechanisms, is closely related to using the internet. In addition, we also examined the moderating role of lockdown experiences.MethodsIn February 2020, a total of 486 participants were recruited through a web-based platform from areas in China with a large number of infections. We used questionnaires to measure participants' perceived severity of the COVID-19 pandemic, to measure the severity of their cyberchondria, depression, anxiety, and stress symptoms, and to assess their lockdown experiences. Confirmatory factor analysis, exploratory factor analysis, common method bias, descriptive statistical analysis, and correlation analysis were performed, and moderated mediation models were examined.ResultsThere was a positive association between perceived severity of the COVID-19 pandemic and depression (β=0.36, t=8.51, P<.001), anxiety (β=0.41, t=9.84, P<.001), and stress (β=0.46, t=11.45, P<.001), which were mediated by cyberchondria (β=0.36, t=8.59, P<.001). The direct effects of perceived severity of the COVID-19 pandemic on anxiety (β=0.07, t=2.01, P=.045) and stress (β=0.09, t=2.75, P=.006) and the indirect effects of cyberchondria on depression (β=0.10, t=2.59, P=.009) and anxiety (β=0.10, t=2.50, P=.01) were moderated by lockdown experience.ConclusionsThe higher the perceived severity of the COVID-19 pandemic, the more serious individuals' symptoms of depression, anxiety, and stress. In addition, the associations were partially mediated by cyberchondria. Individuals with higher perceived severity of the COVID-19 pandemic were more likely to develop cyberchondria, which aggravated individuals' depression, anxiety, and stress symptoms. Negative lockdown experiences exacerbated the COVID-19 pandemic's impact on mental health.
| S-EPMC8448083 | biostudies-literature
Project description:Individuals diagnosed with major depressive disorder (MDD) often ruminate about their depression and their life situations, impairing their concentration and performance on daily tasks. We examined whether rumination might be due to a deficit in the ability to expel negative information from short-term memory (STM), and fMRI was used to examine the neural structures involved in this ability. MDD and healthy control (HC) participants were tested using a directed-forgetting procedure in a short-term item recognition task. As predicted, MDD participants had more difficulty than did HCs in expelling negative, but not positive, words from STM. Overall, the neural networks involved in directed forgetting were similar for both groups, but the MDDs exhibited more spatial variability in activation in the left inferior frontal gyrus (a region critical for inhibiting irrelevant information), which may contribute to their relative inability to inhibit negative information.
| S-EPMC4006074 | biostudies-literature
Project description:BackgroundThe COVID-19 pandemic has shaken the world by imposing unprecedented health measures, including in the postpartum period.ObjectivesWe aim to assess the impact of maternal isolation in the immediate postpartum period on the rate of postpartum depression (PPD) in a tertiary center.Study designWe conducted a prospective cohort study, between 22 April and 29 October 2020, using anonymous questionnaires on 265 participants (129 during lockdown and 135 outside). The Edinburgh Postnatal Depression Scale (EPDS) was used as screening for PPD. We used a univariate logistic regression model to analyze the association between risk factors and PPD.ResultsThere was no difference between the two groups for PPD assessed by an EPDS score >10.5 on day 30 and/or day 60 (23.1% vs. 29.3%, p = 0.661) but on day 3 it was higher (31% vs. 17.8%, p = 0.015) during the lockdown period and partners were more impacted psychologically (48.3% vs. 10.5%, p < 0.001). Parity ≥1 was a protective factor for PPD (OR = 0.2, 95% CI [0.1-0.6], p = 0.003). Risk factors of PPD were: history of psychological abuses (OR = 6.4, CI 95% [1.1-37.6], p = 0.04), stressful life event (OR = 4.5, CI 95% [1.6-12.6], p = 0.004), and bad birth experience (OR = 5.1, CI 95% [1.4-17.8], p = 0.012).ConclusionMaternal isolation in the immediate postpartum period is associated with an increased rate of moderate to severe symptoms of postpartum blues. The well-known long-term consequences of PPD must be balanced against the expected benefits of partner's restrictive access to maternity ward.
| S-EPMC9573123 | biostudies-literature
Project description:The purpose of this study was to estimate the effect of an interpersonally oriented intervention on the reduction of the risk of postpartum depression in primiparous adolescents.We conducted a randomized controlled trial of 106 pregnant primiparous adolescents who were ?17 years old at their first prenatal visit. Participants were assigned randomly to the intervention program (n = 54) or the attention and dose-matched control program (n = 52). Each program included 5 sessions that were delivered during the prenatal period. A structured diagnostic interview was administered to assess for the primary outcome and depression at 6 weeks, 3 months, and 6 months after delivery.Participants included Hispanic (53%), non-Hispanic black (17%), and non-Hispanic white (16%) adolescents. The overall rate of depression in the intervention group (12.5%) was lower than the control group (25%) with a hazard rate ratio of 0.44 (95% confidence interval, 0.17-1.15) at 6 months after delivery.An intervention that is delivered during the prenatal period has the potential to reduce the risk for postpartum depression in primiparous adolescent mothers.
| S-EPMC4386618 | biostudies-literature
Project description:ObjectivesNegative and repetitive self-oriented thinking (rumination) is associated with lower well-being and health. The social context of rumination remains underexplored and mostly centers on marital relationships. To embrace the diversity of older adult relationships, this study includes a range of different relationships (e.g., spouses, siblings, friends, etc.) and examines the role of rumination by close others on individual well-being during the coronavirus disease 2019 pandemic.MethodsUsing daily diary data from 140 Canadian older adults (M = 72.21 years, standard deviation [SD] = 5.39, range: 63-87 years, 47% women, 71% university educated) and a close other of their choice (M = 59.95 years, SD = 16.54, range: 18-83 years, 78% women, 81% university educated), this project builds on past research examining daily life rumination dynamics from a dyadic perspective. For 10 days, both dyad members reported their daily rumination and affect quality in the evening.ResultsMultilevel models replicate past work showing that individual rumination was associated with higher negative affect (within-person: b = 0.27, p < .001, between-person: b = 0.57, p < .001) and lower positive affect (within-person: b = -0.18, p < .001, between-person: b = -0.29, p < .001). Importantly, we additionally observed that partner rumination was associated with higher negative affect (b = 0.03, p = .038) and lower positive affect (b = -0.04, p = .023), highlighting the social context of rumination.DiscussionFindings illustrate the significance of rumination for the self and others and underline the merit of taking a dyadic perspective on what is typically viewed as an individual-level phenomenon.
| S-EPMC10873859 | biostudies-literature