scholarly journals Postpartum depression symptoms in survey-based research: a structural equation analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Che Wan Jasimah Bt Wan Mohamed Radzi ◽  
Hashem Salarzadeh Jenatabadi ◽  
Nadia Samsudin
Keyword(s):  
Postpartum Depression ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Public Health Problem ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Postpartum Women ◽  
Unhealthy Food ◽  
High Level

Abstract Background Since the last decade, postpartum depression (PPD) has been recognized as a significant public health problem, and several factors have been linked to PPD. Mothers at risk are rarely undetected and underdiagnosed. Our study aims to determine the factors leading to symptoms of depression using Structural Equation Modeling (SEM) analysis. In this research, we introduced a new framework for postpartum depression modeling for women. Methods We structured the model of this research to take into consideration the Malaysian culture in particular. A total of 387 postpartum women have completed the questionnaire. The symptoms of postpartum depression were examined using the Edinburgh Postnatal Depression Scale (EPDS), and they act as a dependent variable in this research model. Results Four hundred fifty mothers were invited to participate in this research. 86% of the total distributed questionnaire received feedback. The majority of 79.6% of respondents were having depression symptoms. The highest coefficients of factor loading analysis obtained in every latent variable indicator were income (β = 0.77), screen time (β = 0.83), chips (β = 0.85), and anxiety (β = 0.88). Lifestyle, unhealthy food, and BMI variables were directly affected by the dependent variable. Based on the output, respondents with a high level of depression symptoms tended to consume more unhealthy food and had a high level of body mass indexes (BMI). The highest significant impact on depression level among postpartum women was unhealthy food consumption. Based on our model, the findings indicated that 76% of the variances stemmed from a variety of factors: socio-demographics, lifestyle, healthy food, unhealthy food, and BMI. The strength of the exogenous and endogenous variables in this research framework is strong. Conclusion The prevalence of postpartum women with depression symptoms in this study is considerably high. It is, therefore, imperative that postpartum women seek medical help to prevent postpartum depressive symptoms from worsening.

Attributional Style as a Predictor of Hopelessness Depression

2006 ◽  
Vol 20 (4) ◽  
pp. 447-458 ◽  
Author(s):  
Edward D. Sturman ◽  
Myriam Mongrain ◽  
Paul M. Kohn
Keyword(s):  
Attributional Style ◽  
Latent Variable ◽  
Structural Equation ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Psychomotor Retardation ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Negative Events ◽  
Hopelessness Depression

Stable and global attributions for negative events were tested as predictors of hopelessness depression symptoms, obtained from a diagnostic interview for a past depressive episode in a sample of 102 graduate students. All participants were administered the Structured Clinical Interview for DSM–IV, Center for Epidemiological Studies Depression Scale, Personal Style Inventory, and a modified version of the Extended Attributional Style Questionnaire. A stable and global attributional style for negative events was significantly associated with a composite of hopelessness depression symptoms. A regression analysis revealed that attributional style significantly postdicted hopelessness depression symptoms when controlling for both sociotropy and autonomy. Structural equation modeling supported a model in which stable and global attributions predicted a latent variable, which we refer to as a motivational deficit, involving psychomotor retardation and fatigue as indicators. Therefore, this study obtained some support for the hopelessness model and highlights the vulnerability posed by attributional style ( Abramson, Metalsky, & Alloy, 1989 ).

Questionnaire to Assess Knowledge, Attitude, and Prevention Behaviors of Taiwanese Postpartum Women Regarding Postpartum Depression

2021 ◽  
Vol 4 (6) ◽  
Author(s):  
Li Chiu Lin
Keyword(s):  
Postpartum Depression ◽  
Chinese Culture ◽  
Structural Reliability ◽  
Depression Scale ◽  
Public Health Problem ◽  
Assessment Tools ◽  
Face Validity ◽  
Depression Symptoms ◽  
Postpartum Women ◽  
Two Phase

Aim: Postpartum depression is a highly prevalent disorder, and it has been recognized as a public health problem. In Chinese culture, after childbirth, women must stay at home for postpartum confinement. However, more than 50% of postpartum women tend to experience depression symptoms 3–4 days after delivery. Although the prevention and causes of postpartum depression have been extensively studied, the assessment tools used are usually based on Western cultures. A Chinese-version assessment scale was necessary. The objective of this study was to develop a culturally sensitive questionnaire for assessing the knowledge, attitude, and prevention behaviors toward postpartum depression of Taiwanese women, and examined the associations among postpartum depression knowledge, attitude, and prevention. Methods: Two-phase study was conducted. First, a postpartum depression scale was developed and its reliability and validity were tested in 50 people. Second, 639 postpartum women from seven hospitals were asked to complete the questionnaire. Results: The questionnaire, which contained four subscales and 16 questions (Cronbach's α = .82–.84), was administered in the postpartum room and required 5–10 min for completion. This questionnaire showed face validity and high acceptance, the factor analysis showed that the questionnaire has acceptable structural reliability. High scores on the postpartum depression knowledge and attitude subscales were associated with higher prevention behavior subscale scores. Conclusion: The finding of this questionnaire is an effective tool for determining postpartum women’s understanding of postpartum depression. Understanding postpartum depression knowledge, attitude and prevention are essential to assess and promote the postnatal care

scholarly journals Family function fully mediates the relationship between social support and depression among antenatal and postpartum women in rural Southwest China

2020 ◽  
Author(s):  
Yilin Huang ◽  
Yan Liu ◽  
Yu Wang ◽  
Danping Liu
Keyword(s):  
Social Support ◽  
Postpartum Depression ◽  
Negative Correlation ◽  
Southwest China ◽  
Depression Scale ◽  
Equation Modeling ◽  
Postpartum Women ◽  
Family Function ◽  
Modifiable Factors ◽  
The Relationship

Abstract Background: Antenatal and postpartum depression is the most common complication of gestation and childbearing affecting women and their families, and good social support and family function are considered the protective and modifiable factors. This study aimed to investigate the depression status and to clarify the interrelationships between social support and depression considering the influence of family function among antenatal and postpartum women in rural areas of Southwest China.Methods: This is a cross-sectional study. Data were collected from a total of 490 rural antenatal (N=249) and postpartum(N=241) women (age: 28.17± 5.12). A structural equation modeling (SEM) was used to test the hypothesized relationships among the variables. The following instruments were used: the Edinburgh Postpartum Depression Scale (EPDS), the APGAR Family Care Index Scale, and the Social Support Rate Scale (SSRS).Results: We found that the prevalence of depression was 10.4%. Path analysis showed that family function had a direct negative correlation with depression (β =-0.251, 95%CI: (-0.382)– (-0.118)). Social support had a direct positive correlation with family function (β =0.293, 95%CI: (0.147– 0.434)) and had an indirect negative correlation with depression (β =-0.074, 95%CI: (-0.139)– (-0.032)), family function fully mediated the relationship between social support and depression. Conclusions: Findings of this study highlight that family function should be considered as the key target for interventions aiming to lower the prevalence of antenatal and postpartum depression. Family members interventions are critical to reduce depression among antenatal and postpartum women.

scholarly journals Violence and depressive symptoms during pregnancy in BRISA cohort: using structural equation modeling approach

2019 ◽  
Vol 19 (1) ◽  
pp. 173-184
Author(s):  
Sabrina Varão Oliveira Ribeiro ◽  
Rosângela Fernandes Lucena Batista ◽  
Marizélia Rodrigues Costa Ribeiro ◽  
Kivania Carla Pessoa ◽  
Vanda Maria Ferreira Simões ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Depressive Symptoms ◽  
Pregnant Women ◽  
Maternal Depression ◽  
Structural Equation ◽  
Physical Violence ◽  
Depression Scale ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Psychological Violence

Abstract Objectives: to analyze associations among violence against pregnant women, depressive symptoms during pregnancy and maternal depression symptoms. Methods: a sample of 1,139 mothers was conducted on a prenatal cohort study in the municipality of São Luís in Brazil. Psychological and physical violence against pregnant women were measured by the World Health Organization Violence Against Woman. Depressive symptoms during pregnancy were measured by the Escala de Depressão do Centro de Estudos Epidemiológicos (CES-D) (Depression Scale for Epidemiological Studies Center) and maternal depression symptoms were measured by the Edinburgh Postnatal Depression Scale (EPDS). The conceptual model of the structural equation modeling contained socioeconomic situation, social support, psychological and physical violence and depression during pregnancy as determinants of the maternal depression symptoms. Results: maternal depression symptoms were more frequently reported by pregnant women who suffered psychological violence (Standardized Coefficient, SC=0.256; p-value, p<0.001), physical violence (SC=0.221 p<0.001) and those who presented depressive symptoms during pregnancy SC=0.322, p<0.001). Depressive symptoms during pregnancy mediated the effects on physical and psychological violence on maternal depression. Conclusions: pregnant women who were submitted to psychological and physical violence and presented depressive symptoms during pregnancy frequently reported more of having maternal depression symptoms.

scholarly journals Family function fully mediates the relationship between social support and depression among antenatal and postpartum women in rural Southwest China

2020 ◽  
Author(s):  
Yilin Huang ◽  
Yan Liu ◽  
Yu Wang ◽  
Danping Liu
Keyword(s):  
Social Support ◽  
Postpartum Depression ◽  
Negative Correlation ◽  
Southwest China ◽  
Depression Scale ◽  
Equation Modeling ◽  
Postpartum Women ◽  
Family Function ◽  
Modifiable Factors ◽  
The Relationship

Abstract Background: Antenatal and postpartum depression is the most common complication of gestation and childbearing affecting women and their families, and good social support and family function are considered the protective and modifiable factors. This study aimed to investigate the depression status and to clarify the interrelationships between social support and depression considering the influence of family function among antenatal and postpartum women in rural areas of Southwest China.Methods: This is a cross-sectional study. Data were collected from a total of 490 rural antenatal (N=249) and postpartum(N=241) women (age: 28.17± 5.12). A structural equation modeling (SEM) was used to test the hypothesized relationships among the variables. The following instruments were used: the Edinburgh Postpartum Depression Scale (EPDS), the APGAR Family Care Index Scale, and the Social Support Rate Scale (SSRS).Results: We found that the prevalence of depression was 10.4%. Path analysis showed that family function had a direct negative correlation with depression (β =-0.251, 95%CI: -0.382 to -0.118). Social support had a direct positive correlation with family function (β =0.293, 95%CI: 0.147 to 0.434) and had an indirect negative correlation with depression (β =-0.074, 95%CI: -0.139 to -0.032), family function fully mediated the relationship between social support and depression. Conclusions: Findings of this study highlight that family function should be considered as the key target for interventions aiming to lower the prevalence of antenatal and postpartum depression. Family members interventions are critical to reduce depression among antenatal and postpartum women.

Neuroimaging of Individual Differences: A Latent Variable Modeling Perspective

2018 ◽  
Author(s):  
Shelly Renee Cooper ◽  
Joshua James Jackson ◽  
Deanna Barch ◽  
Todd Samuel Braver
Keyword(s):  
Individual Differences ◽  
Individual Difference ◽  
Latent Variable ◽  
Structural Equation ◽  
Behavioral Measure ◽  
Equation Modeling ◽  
Latent Variable Modeling ◽  
Psychometric Theory ◽  
Human Connectome Project ◽  
Neuroimaging Data

Neuroimaging data is being increasingly utilized to address questions of individual difference. When examined with task-related fMRI (t-fMRI), individual differences are typically investigated via correlations between the BOLD activation signal at every voxel and a particular behavioral measure. This can be problematic because: 1) correlational designs require evaluation of t-fMRI psychometric properties, yet these are not well understood; and 2) bivariate correlations are severely limited in modeling the complexities of brain-behavior relationships. Analytic tools from psychometric theory such as latent variable modeling (e.g., structural equation modeling) can help simultaneously address both concerns. This review explores the advantages gained from integrating psychometric theory and methods with cognitive neuroscience for the assessment and interpretation of individual differences. The first section provides background on classic and modern psychometric theories and analytics. The second section details current approaches to t-fMRI individual difference analyses and their psychometric limitations. The last section uses data from the Human Connectome Project to provide illustrative examples of how t-fMRI individual differences research can benefit by utilizing latent variable models.

scholarly journals Insights Into the Correspondence Between Land Use Pattern and Spatial Distribution of Rail Transit Services

2021 ◽  
Author(s):  
Zhongqi Wang ◽  
Qi Han ◽  
Bauke de Vries ◽  
Li Dai
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Operations Management ◽  
Latent Variable ◽  
Structural Equation ◽  
Equation Modeling ◽  
Rail Transit ◽  
Land Use Patterns ◽  
Transit Services ◽  
The Relationship

AbstractThe identification of the relationship between land use and transport lays the foundation for integrated land use and transport planning and management. This work aims to investigate how rail transit is linked to land use. The research on the relationship between land use and rail-based transport is dominated by the impacts of rail projects on land use, without an in-depth understanding of the reverse. However, it is important to note that issues of operation management rather than new constructions deserve greater attention for regions with established rail networks. Given that there is a correspondence between land use patterns and spatial distribution of heavy railway transit (HRT) services at such regions, the study area (i.e., the Netherlands) is partitioned by the Voronoi diagram of HRT stations and the causal relationship between land use and HRT services is examined by structural equation modeling (SEM). The case study of Helmond (a Dutch city) shows the potential of the SEM model for discussing the rail station selection problem in a multiple transit station region (MTSR). Furthermore, in this study, the node place model is adapted with the derivatives of the SEM model (i.e., the latent variable scores for rail service levels and land use characteristics), which are assigned as node and place indexes respectively, to analyze and differentiate the integration of land use and HRT services at the regional level. The answer to whether and how land use affects rail transit services from this study strengthens the scientific basis for rail transit operations management. The SEM model and the modified node place model are complementary to be used as analytical and decision-making tools for rail transit-oriented regional development.

scholarly journals When Goal Pursuit Gets Hairy: A Longitudinal Goal Study Examining the Role of Controlled Motivation and Action Crises in Predicting Changes in Hair Cortisol, Perceived Stress, Health, and Depression Symptoms

2021 ◽  
pp. 216770262199521
Author(s):  
Anne Catherine Holding ◽  
Emily Moore ◽  
Amanda Moore ◽  
Jérémie Verner-Filion ◽  
Isabelle Ouellet-Morin ◽  
...  
Keyword(s):  
Perceived Stress ◽  
Structural Equation ◽  
Goal Pursuit ◽  
Equation Modeling ◽  
Depression Symptoms ◽  
Hair Cortisol ◽  
Controlled Motivation ◽  
Goal Motivation ◽  
Action Crises ◽  
Action Crisis

The action crisis is a critical phase in goal striving during which the goal pursuer feels conflicted about persevering with the goal or initiating disengagement. Recent research suggests that goal motivation, specifically controlled motivation (i.e., pursuing a goal out of obligation and pressure), increases the likelihood of experiencing action crises. In turn, action crises in goal pursuit have been linked to increases in depression symptoms and cortisol. In the present 8-month longitudinal study, we tracked university students’ personal goals to examine whether the pursuit of controlled goals and the experience of action crises was associated with increasing levels of hair cortisol, perceived stress, poor health, and depression symptoms ( N = 156). Structural equation modeling suggested that experiencing action crises in goal pursuit was associated with increases in markers of stress, depression, and ill-being. This effect was partially explained by controlled goal motivation. The clinical and theoretical implications of these findings are discussed.

A STUDY ON PREVALENCE OF POST-PARTUM DEPRESSION IN TERTIARY CARE HOSPITAL OF NORTH INDIA.

2021 ◽  
pp. 31-33
Author(s):  
Nidhi Johri ◽  
Priti Kumar
Keyword(s):  
Postpartum Depression ◽  
Tertiary Care Hospital ◽  
Post Partum ◽  
Tertiary Care ◽  
Depression Scale ◽  
North India ◽  
Postpartum Women ◽  
Care Hospital ◽  
Health Seeking ◽  
Prevalence Of Depression

Background: Depression is the most common complication postpartum affecting 10%–15% of women, contributing greatly to maternal mortality and morbidity, but the care availed is very low among the women who suffer. Aim and Objectives: The current study aimed to study the prevalence and associated risk factors of postpartum depression among recently delivered women in a tertiary care hospital of North India. Material and Methods: This was a hospital based cross-sectional study done between May 2019 and January 2020. All women in the study area who had a pregnancy outcome during the past 6 months and have completed 42 days since their last delivery were included in the study. The data on postpartum depression were collected using the Edinburgh Postnatal Depression Scale (EPDS). Results: There were 300 postpartum women in the study area who participated in the study. Mean age of the study participants was 24.5 years. The deliveries were Institutional in 98% of women. The prevalence of depression among the study women (an EPDS score of 10 and above) was 10%. Among women with depression, a history of depression before the last delivery was given by 40% of women. Only 7.5% of women had sought some form of health care for their problem. Conclusion: The study shows that the prevalence of depression among postpartum women is quite high and the health seeking for depression is very low. Health professionals and workers have to be trained to raise awareness, detect, and treat depression among postpartum women promptly

Sign in / Sign up

Export Citation Format

Share Document