Fuel to the fire: The escalating interplay of attachment and maltreatment in the transgenerational transmission of psychopathology in families living in refugee camps

2020 ◽  
pp. 1-14
Author(s):  
Florian Scharpf ◽  
Getrude Mkinga ◽  
Frank Neuner ◽  
Maregesi Machumu ◽  
Tobias Hecker
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Child Psychopathology ◽  
Child Outcomes ◽  
Parental Psychopathology ◽  
Insecure Attachment ◽  
Model Fit ◽  
Equation Modeling ◽  
Refugee Camps ◽  
Attachment Representations

Abstract Maltreatment by parents can be conceptualized as pathogenic escalations of a disturbed parent–child relationship that have devastating consequences for children's development and mental health. Although parental psychopathology has been shown to be a risk factor both for maltreatment and insecure attachment representations, these factors` joint contribution to child psychopathology has not been investigated. In a sample of Burundian refugee families living in refugee camps in Western Tanzania, the associations between attachment representations, maltreatment, and psychopathology were examined by conducting structured interviews with 226 children aged 7 to 15 and both their parents. Structural equation modeling revealed that children's insecure attachment representations and maltreatment by mothers fully mediated the relation between maternal and child psychopathology [model fit: comparative fit index (CFI) = 0.96; root mean square error of approximation (RMSEA) = 0.05]. A direct association between paternal and child psychopathology was observed (model fit: CFI = 0.96; RMSEA = 0.05). The findings suggest a vicious cycle, wherein an insecure attachment to a mother suffering from psychopathology may be linked to children's risk to be maltreated, which may reinforce insecure representations and perpetuate the pathogenic relational experience. Interventions targeting the attachment relationship and parental mental health may prevent negative child outcomes.

Perceived Employability Moderates Burnout and Depression Among Bank Employees

2016 ◽  
Vol 44 (7) ◽  
pp. 1123-1132 ◽  
Author(s):  
Haishu Qiao ◽  
Yue Xia ◽  
Ying Li
Keyword(s):  
Mental Health ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Hierarchical Regression ◽  
Negatively Associated ◽  
Perceived Employability ◽  
Bank Employees ◽  
The Relationship

Because bank employees have been found to be especially susceptible to burnout and depression, we explored the relationship between these variables, and examined the moderating effect of perceived employability on the burnout–depression relationship in a sample of Chinese bank employees. As we expected, burnout and perceived employability were, respectively, positively and negatively associated with depression. The results of hierarchical regression and structural equation modeling indicated that perceived employability moderated the relationship between burnout and depression; higher perceived employability was associated with a weaker relationship between burnout and depression. Interventions aimed at developing the perceived employability of Chinese bank employees may help to improve mental health in this group.

scholarly journals Can Supportive Siblings Protect against the Risk that Stress from Feelings of Alienation with Parents and Peers Poses to Mental Health in Emerging Adulthood?

2021 ◽  
pp. 0192513X2199385
Author(s):  
Muna Osman ◽  
Dave Miranda
Keyword(s):  
Mental Health ◽  
Psychological Distress ◽  
Emerging Adulthood ◽  
Emerging Adults ◽  
Structural Equation ◽  
Protective Factor ◽  
Moderated Mediation ◽  
Equation Modeling ◽  
Moderated Mediation Model ◽  
Two Samples

Feelings of alienation with parents and peers can lead to psychological distress, possibly because such feelings are stressful. Supportive siblings are known to foster mental health in youth, but research in emerging adulthood is limited. We hypothesized supportive sibling climate as a protective factor in the risks that stress from parent and peer alienation poses to psychological distress among emerging adults. A proposed moderated-mediation model was tested, across three samples, using latent moderated mediation structural equation modeling. Results indicated that parental and peer alienation were associated with more psychological distress, and stress partially mediated the link between parental (but not peer) alienation and psychological distress in two samples. However, a supportive sibling climate was not protective as it did not moderate the links among alienation, stress, and psychological distress. In sum, siblings seem beneficial, but perhaps it is not sufficient to protect emerging adults’ mental health against stress from parent and peer alienation.

scholarly journals Acculturation Stress, Satisfaction, and Frustration of Basic Psychological Needs and Mental Health of Chinese Migrant Children: Perspective from Basic Psychological Needs Theory

2021 ◽  
Vol 18 (9) ◽  
pp. 4751
Author(s):  
Qiang Ren ◽  
Shan Jiang
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Psychological Needs ◽  
Need Satisfaction ◽  
Basic Psychological Needs ◽  
Migrant Children ◽  
Equation Modeling ◽  
Acculturation Stress ◽  
Children’S Depression ◽  
Needs Theory

Acculturation stress is prevalent among migrant populations. The current study examines whether acculturation stress influences migrant children’s mental health through the mediators of the satisfaction and frustration of basic psychological needs for autonomy, relatedness, and competence. A sample of 484 migrant children is obtained in Kunming, China using a multi-stage cluster random sampling. Data are analyzed through structural equation modeling in Mplus 8.0. Results indicate that acculturation stress has a direct impact on children’s depression but no significant direct effect on children’s happiness. Acculturation stress also has indirect effects on depression and happiness via the mediators of need satisfaction and frustration. Acculturation stress is negatively associated with need satisfaction and positively associated with need frustration, which is further significantly predictive of children’s happiness and depression. Overall, this study validates the basic psychological needs theory in the context of China’s internal migration. Findings contribute to the understanding of the mechanisms that underlie the relationship between acculturation stress and psychological outcomes and provide practical implications for future interventions.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

scholarly journals Mental Health of Refugees and Migrants during the COVID-19 Pandemic: The Role of Experienced Discrimination and Daily Stressors

2021 ◽  
Vol 18 (12) ◽  
pp. 6354
Author(s):  
Eva Spiritus-Beerden ◽  
An Verelst ◽  
Ines Devlieger ◽  
Nina Langer Primdahl ◽  
Fábio Botelho Guedes ◽  
...  
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Descriptive Analysis ◽  
Health Impact ◽  
Equation Modeling ◽  
Daily Stressors ◽  
Health Crisis ◽  
The Impact ◽  
Migrant Groups

The COVID-19 pandemic is a defining global health crisis of our time. While the impact of COVID-19, including its mental health impact, is increasingly being documented, there remain important gaps regarding the specific consequences of the pandemic on particular population groups, including refugees and migrants. This study aims to uncover the impact of the COVID-19 pandemic on the mental health of refugees and migrants worldwide, disentangling the possible role of social and daily stressors, i.e., experiences of discrimination and daily living conditions. Descriptive analysis and structural equation modeling were used to analyze the responses of N = 20,742 refugees and migrants on the self-reporting global ApartTogether survey. Survey findings indicated that the mental health of refugees and migrants during the COVID-19 pandemic was significantly impacted, particularly for certain subgroups, (i.e., insecure housing situation and residence status, older respondents, and females) who reported experiencing higher levels of increased discrimination and increases in daily life stressors. There is a need to recognize the detrimental mental health impact of the COVID-19 pandemic on particular refugee and migrant groups and to develop interventions that target their unique needs.

scholarly journals Explanation of Children’s Health through Parents’ Mental Health and Job Satisfaction by Structural Equation Modeling

2016 ◽  
Vol 9 (2) ◽  
pp. 166
Author(s):  
Majid Golzarpour ◽  
Meroe Vameghi ◽  
Homeira Sajjadi ◽  
Gholamreza Ghaedamini Harouni
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
General Health Questionnaire ◽  
Children's Health ◽  
Children’S Health ◽  
Equation Modeling ◽  
Health Questionnaire

<p><strong>BACKGROUND:</strong> Worldwide, much evidence exists on the influence of parents’ socioeconomic conditions, including employment, on children’s health. However, the mechanisms for this affect are still being investigated. Few studies have been conducted in Iran to investigate this issue. This study investigated working conditions, job satisfaction, and mental health of employed people and the association between these variables and their children’s health.<strong></strong></p><p><strong>MATERIALS &amp; METHODS:</strong> In this correlational work, 200 male and female staff of the official part of Educational Organization and the schools of Mashhad with children aged 5-18 years was randomly selected. The data were gathered using a demographic questionnaire, the 20-item Minnesota Job Satisfaction Questionnaire, the 28-item General Health Questionnaire, and the 28-item Child Health Questionnaire. The data were then analyzed using SPSS. The associations under study were investigated by structural equation modeling in AMOS.<strong></strong></p><p><strong>RESULTS:</strong> Approximately 17% of the variation in the parents’ job satisfaction could be explained by the parents’ insurance, income, and work hours; 6% of the variation in their mental health was explained by job satisfaction, and 26% of the variation in children’s health was directly explained by the parents’ job satisfaction and mental health. However, approximately 32.2% of the variation in children’s health could be explained in the light of the direct effect of the parents’ mental health and direct and indirect effects of the parents’ job satisfaction. The goodness of fit index was 0.94.</p><p><strong>CONCLUSION:</strong> Parents’ job satisfaction was associated with and considerably explained children’s health. Although this finding may be partially related to the job satisfaction effect on mental health, the reasons for the affect of job satisfaction on children’s health and the potential mechanisms of this association require further studies.<strong></strong></p>

scholarly journals Factors Related to Mental Health During the COVID-19 Lockdown in Spain

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos
Keyword(s):  
Mental Health ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Survey ◽  
Psychological Impact ◽  
Well Being ◽  
Vulnerable Groups ◽  
Equation Modeling ◽  
Healthy Habits ◽  
And Gender

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.

scholarly journals Body Mass Index Moderates Brain Dynamics and Executive Function: A Structural Equation Modeling Approach

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Lauren Kupis ◽  
Zachary T. Goodman ◽  
Salome Kornfeld ◽  
Celia Romero ◽  
Bryce Dirks ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Executive Function ◽  
Body Mass ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Brain Dynamics ◽  
Latent Factors ◽  
The Impact ◽  
The Relationship

Obesity is associated with negative physical and mental health outcomes. Being overweight/obese is also associated with executive functioning impairments and structural changes in the brain. However, the impact of body mass index (BMI) on the relationship between brain dynamics and executive function (EF) is unknown. The goal of the study was to assess the modulatory effects of BMI on brain dynamics and EF. A large sample of publicly available neuroimaging and neuropsychological assessment data collected from 253 adults (18–45 years; mean BMI 26.95 kg/m2 ± 5.90 SD) from the Nathan Kline Institute (NKI) were included (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Participants underwent resting-state functional MRI and completed the Delis-Kaplan Executive Function System (D-KEFS) test battery (1). Time series were extracted from 400 brain nodes and used in a co-activation pattern (CAP) analysis. Dynamic CAP metrics including dwell time (DT), frequency of occurrence, and transitions were computed. Multiple measurement models were compared based on model fit with indicators from the D-KEFS assigned a priori (shifting, inhibition, and fluency). Multiple structural equation models were computed with interactions between BMI and the dynamic CAP metrics predicting the three latent factors of shifting, inhibition, and fluency while controlling for age, sex, and head motion. Models were assessed for the main effects of BMI and CAP metrics predicting the latent factors. A three-factor model (shifting, inhibition, and fluency) resulted in the best model fit. Significant interactions were present between BMI and CAP 2 (lateral frontoparietal (L-FPN), medial frontoparietal (M-FPN), and limbic nodes) and CAP 5 (dorsal frontoparietal (D-FPN), midcingulo-insular (M-CIN), somatosensory motor, and visual network nodes) DTs associated with shifting. A higher BMI was associated with a positive relationship between CAP DTs and shifting. Conversely, in average and low BMI participants, a negative relationship was seen between CAP DTs and shifting. Our findings indicate that BMI moderates the relationship between brain dynamics of networks important for cognitive control and shifting, an index of cognitive flexibility. Furthermore, higher BMI is linked with altered brain dynamic patterns associated with shifting.

scholarly journals Analisis Faktor-Faktor Yang Mempengaruhi Kesiapan Kerja Pada Siswa SMK Negeri 1 Sinjai

2018 ◽  
Vol 6 (2) ◽  
pp. 105-115
Author(s):  
Muhammad Ihsan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling

Tujuan penelitian ini adalah: 1) Untuk mengetahui bagaimana hasil dari faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, 2) Untuk mengetahui hasil presentasi  dari analisis faktor-faktor yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai, 3) Untuk mengetahui faktor-faktor apa sajakah yang mempengaruhi penerimaan kesiapan kerja siswa SMK Negeri 1 Sinjai. Penelitian ini menggunakan metode deskriptif eksploratif. Populasi dalam penelitian ini adalah seluruh siswa kelas 3 SMK Negeri 1 Sinjai sejumlah 341 siswa dan sampel sebanyak 200 siswa. Analisis data dilakukan dengan pendekatan Structural Equation Modeling (SEM), yaitu SEM berbasis covariance. Berdasarkan hasil dari analisis data yang dilakukan, diperoleh kesimpulan bahwa: 1) Pengujian variabel-variabel pada model I-E-O, yang berpengaruh pada kesiapan kerja siswa SMK Negeri 1 Sinjai, dengan menggunakan pendekatan SEM, disimpulkan model fit dengan data yang ada. 2) Faktor kemampuan memiliki nilai koefisien sebesar 5,537437. Faktor kemampuan merupakan faktor terkuat yang mempengaruhi kesiapan kerja pada siswa SMK Negeri 1 Sinjai. Faktor ini terdiri atas prestasi belajar, tingkat intelegensi, pengalaman praktek, kedisiplinan, ekspektansi masuk dunia kerja, bakat. 3) Faktor-faktor yang mempengaruhi kesiapan kerja siswa SMK Negeri 1 Sinjai, dipengaruhi oleh faktor kemampuan, faktor akademis, faktor prilaku dan potensi diri, faktor bawaan/warisan.

Sign in / Sign up

Export Citation Format

Share Document