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 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

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 Structural Equation Modeling for the Effect of Main Factors on Abortion Issue

2019 ◽  
Vol 7 (1) ◽  
pp. 1-13
Author(s):  
Aras Jalal Mhamad ◽  
Renas Abubaker Ahmed
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variables ◽  
Latent Variable ◽  
Structural Equation ◽  
Close Contact ◽  
Maternity Hospital ◽  
Equation Modeling ◽  
Research Model ◽  
Statistical Tools ◽  
Main Factors

       Based on medical exchange and medical information processing theories with statistical tools, our study proposes and tests a research model that investigates main factors behind abortion issue. Data were collected from the survey of Maternity hospital in Sulaimani, Kurdistan-Iraq. Structural Equation Modelling (SEM) is a powerful technique as it estimates the causal relationship between more than one dependent variable and many independent variables, which is ability to incorporate quantitative and qualitative data, and it shows how all latent variables are related to each other. The dependent latent variable in SEM which have one-way arrows pointing to them is called endogenous variable while others are exogenous variables. The structural equation modeling results reveal is underlying mechanism through which statistical tools, as relationship between factors; previous disease information, food and drug information, patient address, mother’s information, abortion information, which are caused abortion problem. Simply stated, the empirical data support the study hypothesis and the research model we have proposed is viable. The data of the study were obtained from a survey of Maternity hospital in Sulaimani, Kurdistan-Iraq, which is in close contact with patients for long periods, and it is number one area for pregnant women to obtain information about the abortion issue. The results shows arrangement about factors effectiveness as mentioned at section five of the study. This gives the conclusion that abortion problem must be more concern than the other pregnancy problem.

scholarly journals A structural equation modeling approach to understanding pathways that connect socioeconomic status and smoking

PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0192451 ◽  
Author(s):  
Sydney A. Martinez ◽  
Laura A. Beebe ◽  
David M. Thompson ◽  
Theodore L. Wagener ◽  
Deirdra R. Terrell ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Modeling Approach

scholarly journals Investigation of influence of growing pigs’ positive affective state on behavioral and physiological parameters using structural equation modeling

2020 ◽  
Vol 98 (2) ◽  
Author(s):  
Katja L Krugmann ◽  
Farina J Mieloch ◽  
Joachim Krieter ◽  
Irena Czycholl
Keyword(s):  
Structural Equation Modeling ◽  
Latent Variable ◽  
Structural Equation ◽  
Affective State ◽  
Body Language ◽  
Physiological Parameters ◽  
Equation Modeling ◽  
Behavioral Tests ◽  
Positive Affective State ◽  
Fattening Pigs

Abstract The aim of the present study was to investigate whether the primarily positive affective state of fattening pigs influences various behavioral and physiological parameters such as the pigs’ playing behavior, way of behaving in behavioral tests, body language signals, or diameter, and astroglia cell numbers of hippocampi, salivary immunoglobulin A (IgA) content, or salivary protein composition. Additionally, the suitability of the variables mentioned was examined to assess the pigs’ positive affective state in practice, which still constitutes a latent variable not itself measurable. For this, a dataset including behavioral and physiological data of 60 fattening pigs from 3 different farms with different housing systems was analyzed by the partial least squares structural equation modeling (PLS-SEM) method. A hierarchical component model (HCM) was used including the pigs’ positive affective state as a higher-order component (HOC) and the behavioral and physiological parameters as lower-order components (LOC). Playing behavior, body language signals, and behavioral tests were revealed, in this order, to be most influenced by the pigs’ positive affective state since these resulted in the corresponding path coefficients (PC) of PC = 0.83, PC = 0.79, and PC = 0.62, respectively. Additionally moderate and weak R2-values occurred for the endogenous latent variables playing behavior (R2 = 69.8%), body language signals (R2 = 62.7%), and behavioral tests (R2 = 39.5%). Furthermore, the indicator of the “locomotor play” showed the highest indicator reliability (IR) (IR = 0.85) to estimate the latent variable of pigs’ positive affective state. The results of the present study supplement the comprehension and assessment of the pigs’ positive affective state in general.

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