scholarly journals A Structural Equation Model of Social Support, Stress and Depression in Pregnant Women During Epidemic Period

2020 ◽  
Author(s):  
Yi Liang ◽  
Shengfeng Dong ◽  
Liling Zhu ◽  
Danqing Zhao ◽  
Liming Shen
Keyword(s):  
Social Support ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Guizhou Province ◽  
Cross Sectional ◽  
Auxiliary Condition ◽  
Condition Model ◽  
Epidemic Period

Objective: To investigate the connections among social support, stress, and depression. Design: Cross-sectional study. Setting: Guizhou Province in China. Population or Sample: An aggregate of 1,056 expectant ladies, had finished our questionnaire during pregnancy from March to April in 2020. Methods: The Edinburgh prenatal sadness scale, an independent pressure scale, and social support scale evaluated the downturn, stress, and social support of pregnant people during the pestilence. An auxiliary condition model was utilized to examine the immediate and aberrant connection between social support and prenatal misery. Main Outcome Measures: Incidence of depression. Results: During the pandemic time, 73.01% of pregnant ladies experienced prenatal misery. The model is suitable (chi-square = 11.96, CFI = 0.97, RMSEA = 0.07, RMR = 0.03). The auxiliary condition model indicated that the immediate pathway of social support to depression was critical (normalized pathway coefficient = - 0.34), and the aberrant pathway of stress to depression via social support was additionally huge (normalized pathway coefficient = 0.50). Stress partially intercedes the connection between social support and depression. Conclusion: Our discoveries posit that social support is related to an expanded danger of depression. Stress is decidedly corresponding to depression and assumes an interceding position between social support and stress. Thusly, directed mediation ought to be completed to lessen the depression of pregnant ladies and improve their psychological wellness status. Keywords: stress, depression, social support, structural equation model

scholarly journals Impact of Sociodemographic Characteristics, Lifestyle, and Obesity on Coexistence of Diabetes and Hypertension: A Structural Equation Model Analysis amongst Chinese Adults

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wenwen Wu ◽  
Jie Diao ◽  
Jinru Yang ◽  
Donghan Sun ◽  
Ying Wang ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Sociodemographic Characteristics ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Total Prevalence ◽  
Confirmatory Factor

Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, P < 0.001 ), followed by obesity (β = 0.353, P < 0.001 ) and sociodemographic characteristics (β = 0.315, P < 0.001 ). All paths of the model were significant ( P < 0.001 ). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.

scholarly journals Prevention of Children’s Burnout at School through the Tutoring and Guidance Process. A Structural Equation Model Analysis

2020 ◽  
Vol 10 (12) ◽  
pp. 356
Author(s):  
Jorge Expósito-López ◽  
Ramón Chacón-Cuberos ◽  
José Javier Romero-Díaz de la Guardia ◽  
Noelia Parejo-Jiménez ◽  
Sonia Rodríguez-Fernández ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Mean Squared Error ◽  
Well Being ◽  
Cross Sectional Study ◽  
Equation Model ◽  
Fit Indices ◽  
Cross Sectional ◽  
Analytical Technique ◽  
Fit Index

The school burnout of children, defined as physical and mental exhaustion due to a lack of adjustment to the educational context, constitutes a serious problem in contemporary education. Thus, the determination of the elements that influence it and the possible strategies for avoiding it are key in the process of improving children’s well-being. A descriptive and cross-sectional study was conducted with a sample of 569 children aged 8 to 13 at eight primary education schools in Granada (Spain). With the aim of examining the association between the possible exhaustion of children and planned tutoring and guidance activities, a structural equation model (SEM) as the analytical technique was used. The results show good fit indices for the model (comparative fit index (CFI) = 0.955; normalised fit index (NFI) = 0.956; incremental fit index (IFI) = 0.946; root mean squared error approximation (RMSEA) = 0.089), which reflects the need for tutoring and guidance activities that are infused throughout the entire teaching process in order to preserve children’s well-being.

Upaya Preventif, Mutu, Kepuasan Dan Loyalitas Ibu Hamil Terhadap Minat Kunjungan Ulang di Klinik Abdi Persada Banjarmasin

2019 ◽  
Vol 2 (1) ◽  
pp. 69-84
Author(s):  
Nur Cahyani Ari Lestari
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Cross Sectional

Upaya preventif dalam kesehatan dan peningkatan mutu pelayanan merupakan salah satu ukuran dari kepuasan pasien dan loyalitas pasien yang mempengaruhi keinginan pasien untuk melakukan kunjungan ulang kembali terhadap penyedia jasa layanan kesehatan tersebut. Penelitian ini bertujuan untuk mengetahui pengaruh langsung maupun tidak langsung serta besaran antara upaya preventif, mutu pelayanan kepuasaan dan loyalitas ibu hamil terhadap minat kunjungan ulang ibu hamil di Klinik Abdi Persada Banjarmasin Tahun 2018. Penelitian ini, menggunakan metode cross sectional. Populasinya adalah ibu hamil yang memeriksakan kehamilannya di Klinik Abdi Persada Banjarmasin. Sampel penelitian ini berjumlah 90 orang ibu hamil. Penelitian ini menggunakan metode analisis Structural Equation Model menggunakan Smart PLS 2.0 dan SPSS 18. Hasil pengujian hipotesis dengan Structural Equation Model (SEM) dengan metode smartPLS menghasilkan temuan penelitian yaitu upaya preventif (24,56%), mutu pelayanan (26,89%), kepuasan (8,13%) dan loyalitas (38,33%). Loyalitas ibu hamil merupakan faktor dominan yang mempengaruhi minat kunjungan ulang ibu hamil di Klinik Abdi Persada Banjarmasin. Model - Model hasil analisis dapat menjelaskan 99,9% keragaman data dan mampu mengkaji fenomena yang dipakai dalam penelitian, sedangkan 0,1% dijelaskan komponen lain yang tidak ada dalam penelitian ini. Dapat disimpulkan bahwa terdapat pengaruh antara upaya preventif, mutu pelayanan, kepuasan dan loyalitas tehadap minat kunjungan ulang ibu hamil. Sarannya sebagai masukkan untuk lebih meningkatkan pelayanan kepada ibu hamil dalam pemeriksaan kehamilannya sehingga memberikan kepuasan ibu hamil agar dapat berkunjung kembali. Kata Kunci: Preventif, Mutu Pelayanan, Kepuasaan, Loyalitas, Kunjungan Ulang

scholarly journals Love Hurts: The Influence of Social Relations on Exercise Self-Efficacy for Older Adults with Osteoarthritis

2008 ◽  
Vol 16 (4) ◽  
pp. 465-483 ◽  
Author(s):  
Kelly A. Cotter ◽  
Aurora M. Sherman
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Relations ◽  
Self Efficacy ◽  
Structural Equation ◽  
Physical Activity Behavior ◽  
Well Being ◽  
Equation Model ◽  
Cross Sectional ◽  
Social Strain

Exercise self-efficacy is a powerful predictor of physical activity behavior, which enhances health and well-being for older adults. Social relations have been proposed as influential precursors for exercise self-efficacy. In a longitudinal study of 160 older adults with osteoarthritis (76.9% women), the authors found that social support (but not social strain) significantly predicted exercise self-efficacy in a structural equation model examining cross-sectional data: χ2(178, N = 160) = 264.57, p < .01; RMSEA = .06; CFI = .92; TLI = .90. When data were examined longitudinally, however, social strain (but not social support) significantly predicted lower exercise self-efficacy 1 year later: χ2(233, N = 160) = 288.64, p < .01; RMSEA = .04; CFI = .96; TLI = .95. Results support the negativity effect, suggesting that social strain might be the more potent aspect of social relations and should be the target of interventions.

scholarly journals Factors Affecting University Students’ Perspectives on Cyberbullying Factors Affecting

2021 ◽  
Vol 11 (2) ◽  
pp. 257-264
Author(s):  
Ayşe TAŞTEKİN OUYABA
Keyword(s):  
Health Behaviors ◽  
Structural Equation ◽  
Cross Sectional Study ◽  
Health Sciences ◽  
Equation Model ◽  
Cyber Victimization ◽  
Chi Square ◽  
Cross Sectional ◽  
Behavioral Skills ◽  
Factors Affecting

This research is a cross-sectional study. It was conducted with 340 students studying at the Faculty of Health Sciences of the Afyonkarahisar Health Sciences University. Data were collected through a questionnaire. T-test, Mann Whitney U, and Chi-square test were used to compare the sociodemographic and internet usage characteristics of the students according to their gender. Data were evaluated with Structural Equation Model. Being a woman is associated with better motivation (β: = -.20, p = 0.000) and health behaviors (β= -.22, p = 0.000). High motivation is associated with better behavioral skills (β= .15, p = 0.005) and better health behaviors (β= .28, p = 0.000). Better health behaviors indicate a decrease in cyber victimization (β= -.11, p = 0.042). It was observed that female students’ sensitivity towards preventing and preventing cyberbullying was higher than male students. Students with a high level of motivation have better behavioral skills and health behaviors. Students with better behavioral skills and health behaviors were less exposed to cyber victimization.

Attachment style, serial argument, and taking conflict personally

2015 ◽  
Vol 4 (1) ◽  
pp. 63-86 ◽  
Author(s):  
Dale Hample ◽  
Adam S. Richards
Keyword(s):  
Structural Equation Model ◽  
Attachment Style ◽  
Attachment Styles ◽  
Structural Equation ◽  
Close Relationships ◽  
Equation Model ◽  
Personal Relationships ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
The Relationship

Serial argument theory explains recurring conflict within personal relationships. The theory specifies that an arguer’s goals influence his/her tactics, leading to argument outcomes which include effects on the relationship. We extend this model in two ways. First we suggest that attachment styles predict serial argument goals. Second, we hypothesize that taking conflict personally (TCP) is an outcome of such arguments. University students (N = 682) completed a cross-sectional survey about their attachment styles and felt personalization regarding a serial argument they experienced. A structural equation model tested relationships between attachment styles, goals, tactics, outcomes, and TCP. Results indicated that attachment styles predict goals of serial arguing and serial argument outcomes predict TCP. The study shows that attachment styles have modest but statistically significant effects on goals of serial arguing in close relationships and that the tactics used in serial arguing predict the degree to which people take recurring conflict personally.

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