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 Factors associated with physical violence against pregnant women from São Luís, Maranhão State, Brazil: an approach using structural equation modeling

2017 ◽  
Vol 33 (1) ◽  
Author(s):  
Danielle Cristina Silva Costa ◽  
Marizélia Rodrigues Costa Ribeiro ◽  
Rosângela Fernandes Lucena Batista ◽  
Camila Maia Valente ◽  
João Victor Fonseca Ribeiro ◽  
...  
Keyword(s):  
Social Support ◽  
Socioeconomic Status ◽  
Structural Equation Modeling ◽  
Pregnant Women ◽  
Latent Variable ◽  
Structural Equation ◽  
Physical Violence ◽  
Equation Modeling ◽  
Intimate Partners ◽  
Factors Associated

Abstract: The factors associated with physical violence against pregnant women were analyzed in a cross-sectional study of 1,446 pregnant women from a prenatal cohort who were interviewed in 2010 and 2011 in São Luís, Brazil. In the initial model, socioeconomic status occupied the most distal position, determining sociodemographic factors, social support and the behavioral factors that ultimately determined physical violence, which was investigated as a latent variable. Structural equation modeling was used in the analysis. Pregnant women who were from more disadvantaged backgrounds (p = 0.027), did not reside with intimate partners (p = 0.005), had low social support (p < 0.001) and had a high number of lifetime intimate partners (p = 0.001) reported more episodes of physical violence. Low social support was the primary mediator of the effect of socioeconomic status on physical violence. The effect of marital status was mainly mediated by a high number of lifetime intimate partners.

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.

scholarly journals Effects of Socioeconomic Status and Social Support on Violence against Pregnant Women: A Structural Equation Modeling Analysis

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0170469 ◽  
Author(s):  
Marizélia Rodrigues Costa Ribeiro ◽  
Antônio Augusto Moura da Silva ◽  
Maria Teresa Seabra Soares de Britto e Alves ◽  
Rosângela Fernandes Lucena Batista ◽  
Cecília Cláudia Costa Ribeiro ◽  
...  
Keyword(s):  
Social Support ◽  
Socioeconomic Status ◽  
Structural Equation Modeling ◽  
Pregnant Women ◽  
Structural Equation ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
Structural Equation Modeling Analysis

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 ).

scholarly journals Are Perfectionistic Thoughts an Antecedent or a Consequence of Depressive Symptoms? A Cross-Lagged Analysis of the Perfectionism Cognitions Inventory

2019 ◽  
Vol 38 (1) ◽  
pp. 99-111 ◽  
Author(s):  
Avi Besser ◽  
Gordon L. Flett ◽  
Simon B. Sherry ◽  
Paul L. Hewitt
Keyword(s):  
Depressive Symptoms ◽  
Life Events ◽  
Structural Equation ◽  
Longitudinal Research ◽  
Depression Scale ◽  
Automatic Thoughts ◽  
Equation Modeling ◽  
Major Life Events ◽  
Major Life ◽  
Cross Sectional

Perfectionistic automatic thoughts have been linked with depressive symptoms in numerous cross-sectional studies, but this link has not been assessed in longitudinal research. An investigation with two timepoints was conducted to test whether perfectionistic automatic thoughts, as assessed by the Perfectionism Cognitions Inventory (PCI), are contributors to subsequent depression or vice versa. The possible role of a third factor (major life events stress) was also evaluated. A sample of 118 university students completed the PCI, the Center for Epidemiologic Studies Depression Scale (CES-D), and the Life Experiences Survey on two occasions with a 5-month interval. A cross-lagged analysis using structural equation modeling showed that above and beyond within-time associations and across-time stability effects, perfectionism automatic thoughts contributed to subsequent depressive symptoms and not vice versa. Negative life events stress was correlated significantly with both depressive symptoms and perfectionism automatic thoughts but did not have an influence on Time 2 depressive symptoms or on perfectionistic automatic thoughts. Our discussion focuses on perfectionistic automatic thoughts as a contributor to depressive vulnerability according to the perfectionism cognition theory.

An Exploratory Study of Pathways from White Matter Hyperintensities to Cognitive Impairment through Depressive Symptoms Using Structural Equation Modeling: A Cross Sectional Study in Patients with Dementia

2020 ◽  
Vol 26 (7) ◽  
pp. 679-689
Author(s):  
Chang Hyun Lee ◽  
Do Hoon Kim
Keyword(s):  
Cognitive Impairment ◽  
Structural Equation Modeling ◽  
Depressive Symptoms ◽  
Cognitive Function ◽  
White Matter ◽  
Structural Equation ◽  
White Matter Hyperintensities ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Cross Sectional

AbstractObjective:The aim of this study was to model the relationships among white matter hyperintensities (WMHs), depressive symptoms, and cognitive function and to examine the mediating effect of depressive symptoms on the relationship between WMHs and cognitive impairment.Methods:We performed structural equation modeling using cross-sectional data from 1158 patients from the Clinical Research for Dementia of South Korea (CREDOS) registry who were diagnosed with mild-to-moderate dementia. Periventricular white matter hyperintensities (PWMHs) and deep white matter hyperintensities (DWMHs) were obtained separately on the protocol of magnetic resonance imaging (MRI). Depression and cognitive function were assessed using the Korean Form of the Geriatric Depression Scale (KGDS) and the Seoul Neuropsychological Screening Battery (SNSB), respectively.Results:The model that best reflected the relationships among the variables was the model in which DWMHs affected cognitive function directly and indirectly through the depressive symptoms; on the other hand, PWMHs only directly affected cognitive function.Conclusions:This study presents the mediation model including the developmental pathway from DWMHs to cognitive impairment through depressive symptoms and suggests that the two types of WMHs may affect cognitive impairment through different pathways.

scholarly journals Condition openness is associated with better mental health in individuals with an intersex/differences of sex development condition: structural equation modeling of European multicenter data

2021 ◽  
pp. 1-12
Author(s):  
Tim C. van de Grift ◽  
Keyword(s):  
Mental Health ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Self Esteem ◽  
Equation Modeling ◽  
Study Patient ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Sex Development ◽  
Differences Of Sex Development

Abstract Background Openness on one's health condition or (stigmatized) identity generally improves mental health. Intersex or differences of sex development (DSD) conditions have long been kept concealed and high levels of (internalizing) mental health problems are reported. This study examines the effects of condition openness on anxiety and depression and the role of mediating concepts in this population. Methods Cross-sectional data of individuals of 16 years and older with an intersex/DSD condition was collected in 14 specialized European clinics as part of the dsd-LIFE study. Patient-reported measures were taken on openness and shame (Coping with DSD), self-esteem (Rosenberg Self-Esteem Scale), satisfaction with care (CSQ4), anxiety and depression (HADS). Scores were compared per clinical group and data were analyzed via structural equation modeling (SEM) to calculate prediction and mediation models. Results Data of 903 individuals were included in this study (Turner syndrome (n = 284), 46, XY DSD (n = 233), CAH (n = 206) and Klinefelter syndrome (n = 180)). Participants were moderately open on their condition. High levels of both anxiety and depression were observed across the sample. In SEM analysis, the tested models predicted 25% of openness, 31% of anxiety and 48% of depression. More condition openness directly predicted lower anxiety and depression symptoms, as well as indirectly through increased self-esteem, self-satisfaction and satisfaction with social support. Conclusions Condition openness is associated with lower anxiety and depression in individuals with an intersex/DSD condition. Healthcare may provide the necessary knowledge and skills to employ one's optimal level of self-disclosure in order to improve mental health.

Sign in / Sign up

Export Citation Format

Share Document