Factors affecting health promoting behavior among older women in Korea: a structural equation model

2020 ◽  
Author(s):  
Jihyun Oh
Keyword(s):  
Social Support ◽  
Older Women ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Perceived Benefits ◽  
Health Promoting Behaviors ◽  
Health Promoting ◽  
Fit Index

Summary The purpose of this study was to explain the health promoting behaviors of older women in South Korea using a structural equation model. The health promotion model developed by Pender was used. A survey using self-administered questionnaires was carried out between 2 October 2016 and 26 November 2016, with 252 older women ≥65 years living in Korea. The data were analyzed using structural equation modeling. The fitness parameters of the modified model (χ2 = 227.243, df = 176, χ2/df = 1.29, p = 0.006, root mean square error of approximation = 0.034, goodness of fit index = 0.927, Tucker−Lewis Index = 0.979, comparative fit index = 0.984, normed fit index = 0.933) indicated its suitability as the research model. Perceived benefits of action and social support directly influenced health promoting behavior, and prior related behavior indirectly influenced health promoting behavior. Interventions should aim to directly improve social support and perceived benefits to increase health promoting behaviors.

scholarly journals Structural Equation Modeling of Parkinson’s Caregiver Social Support, Resilience, and Mental Health: A Strength-Based Perspective

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Carmen M. Tyler ◽  
Richard S. Henry ◽  
Paul B. Perrin ◽  
Jack Watson ◽  
Teresita Villaseñor ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Structural Equation Model ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Self Report ◽  
Equation Modeling ◽  
Mental Health Symptoms ◽  
Health Symptoms

Only scant literature has focused on social support in Parkinson’s disease (PD) caregivers, and no studies to date have examined resilience in this population, despite both variables having been shown to be important in other caregiving populations. As a result, the purpose of the current study was to construct and validate a theoretical structural equation model whereby social support is associated with higher levels of resilience in PD caregivers and increased resilience is related to decreased mental health symptoms. Two hundred fifty three PD caregivers from two clinics in the United States and Mexico completed self-report measures of these constructs. Results suggested that the hypothesized pattern was robustly supported with the structural equation model showing generally good fit indices. Higher levels of social support were associated with increased resilience, which in turn was associated with reduced mental health symptoms. Resilience partially mediated social support’s effect on mitigating mental health symptoms. The model explained 11% of the variance in resilience and 35% in mental health symptoms. These findings have implications for future research on the development and tailoring of interventions to improve social support, resilience, and mental health in PD caregivers.

The Structural Equation Models Of Environmental Concern and Knowledge To Green Trust and Green Purchase Intention Towards Green Products (Guideliness)

2018 ◽  
Author(s):  
rizka zulfikar
Keyword(s):  
Structural Equation Model ◽  
Purchase Intention ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Environmental Concern ◽  
Equation Model ◽  
Environmental Knowledge ◽  
Green Product ◽  
Green Trust ◽  
Fit Index

This research aims to find a structural equation model that can explain the relationship and influence of the environmental concern and Environmental Knowledge to green trust and green purchase intention towards green product. This study is a survey research using questionnaires as an instrument. Population and sample used in this study is public of South Kalimantan Province and taken as many as 150 respondents using non-purposivesampling method. The analysis technique used are : the instruments test, the construct validity and reliability test, the suitability of the model based on the goodness of fit index, pathways analysis and the Influence test according to the model of SEM that complies with the goodness of fit index to determine the effect of variable perception value and risk to public trust. The study found that: (1) Structural equation model of the correlation between the environmental concern and Environmental Knowledge to green trust and green purchase intention towards green product are comply with the criteria and standards of goodness of fit index, (2) (3) (4)

scholarly journals Structural equation model of affecting factors on elder abuse to patients under hemodialysis by family caregivers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amaneh Mahmoudian ◽  
Abbas Shamsalinia ◽  
Atefeh Alipour ◽  
Zahra Fotoukian ◽  
Fatemeh Ghaffari
Keyword(s):  
Older Adults ◽  
Family Caregivers ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Elder Abuse ◽  
Equation Model ◽  
Care Burden ◽  
Beta Coefficient ◽  
Fit Index

Abstract Background The objectives of the present study were to determine the prevalence of older adults with hemodialysis (HD) abuse by family caregivers and the factors affecting it. Method This is a correlational-causal study, which is conducted in 2018 in Iran. The sample size was 367 in both groups (the older adults and their family caregivers). Data collection was done using an individual-social information questionnaire for the older adults under hemodialysis and their family caregivers, the questionnaire of elder abuse by family caregivers to the older people under hemodialysis, Zarit Burden Interview and the scale of instrumental activities of daily living (IADL). Data were analyzed by the structural equation model (SEM) method. The Fitness of proposed pattern was measured using the following indexes: chi-square/degree of freedom ratio (CMIN/DF), Normed Fit Index (NFI), comparative fit index (CFI), goodness of fit index (GFI), and standardized root mean squared residual (SRMR). The significant level in this study was considered p < 0.05. Results The results of the present study showed that more than 70 % of the older adults suffer from elder abuse by family caregivers on average. The highest median elder abuse was related to emotional misbehavior (21.46 ± 6.09) and financial misbehavior (19.07 ± 5.33), respectively. Moderate care burden was experienced by 63.2 % of caregivers. The percentage of older women and men, who needed help with daily activities was 81.4 and 80.5 %, respectively. The results showed that the caregivers’ level of education and care burden with standard beta coefficient of -0.251 and 0.200 and the educational level of older adults and IADL with the best beta coefficient of -0.299 and − 0.234, had the highest regression effect on elder abuse respectively. According to the results, the model-fit indices of the hypothesized model was meet the criteria, with the NFI = 0.951, GFI = 0.970, CFI = 0.967, and SRMR = 0.041. The outcome was suitable for the recommended level, so the hypothetical model appeared to fit the data. Conclusions The results of the present study showed that the prevalence of elder abuse by family caregivers among the older adults under hemodialysis is high. Providing psychological counseling can reduce the consequences of elder abuse.

Analysis of Elderly Mobility by Structural Equation Modeling

2003 ◽  
Vol 1854 (1) ◽  
pp. 81-89 ◽  
Author(s):  
Sungyop Kim
Keyword(s):  
Structural Equation Model ◽  
Urban Form ◽  
Structural Equation ◽  
Elderly Population ◽  
Puget Sound ◽  
The Elderly ◽  
Equation Model ◽  
Education Level ◽  
Equation Modeling ◽  
Elderly Mobility

Mobility is a critical element of quality of life. This is as true for the elderly population as for the larger population. The elderly often have limited physical abilities and financial constraints that might reduce their mobility. Helping the growing elderly population to maintain decent mobility is a critical challenge for transportation planning and policy. For this, the factors that influence the mobility of the elderly population (elderly mobility) must be understood. Only a few systematic studies, however, have been published. Descriptive statistics of the potentially influential factors make it difficult to assess their effects on elderly mobility. The transportation mobility of retired people age 65 years or older in the Puget Sound region of Washington State was analyzed by using a structural equation model. The statistical significance and relative effects of various personal and household characteristics and urban form on elderly mobility were tested. The structural equation model finds statistically significant relationships between age, gender, transportation disability, possession of a driver's license, and education level and elderly mobility. Among these variables, age and education level show the strongest effects. Urban form, however, seems to be insignificant.

scholarly journals Estimating Three-way Latent Interaction Effects in Structural Equation Modeling

2016 ◽  
Vol 5 (6) ◽  
pp. 73
Author(s):  
Birhanu Worku Urge ◽  
Kepher Makambi ◽  
Anthony Wanjoya
Keyword(s):  
Sample Size ◽  
Structural Equation Model ◽  
Interaction Effect ◽  
Latent Variable ◽  
Structural Equation ◽  
Error Control ◽  
Equation Model ◽  
Equation Modeling ◽  
Type I ◽  
Nonlinear Structural Equation

A Monte Carlo simulation was performed for estimating and testing hypotheses of three-way interaction effect in latent variable regression models. A considerable amount of research has been done on estimation of simple interaction and quadratic effect in nonlinear structural equation. The present study extended to three-way continuous latent interaction in structural equation model. The latent moderated structural equation (LMS) approach was used to estimate the parameters of the three-way interaction in structural equation model and investigate the properties of the method under different conditions though simulations. The approach showed least bias, standard error,and root mean square error as indicator reliability and sample size increased. The power to detect interaction effect and type I error control were also manipulated showing that power increased as interaction effect size, sample size and latent covariance increased.

scholarly journals Applying structural equation model in HBM theory

2020 ◽  
Vol 9 (5) ◽  
pp. 357-366
Author(s):  
Frank Pan ◽  
Yueh-Cheng E. Pan
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Health Belief ◽  
Equation Model ◽  
Perceived Benefits ◽  
Belief Model ◽  
And Behavior ◽  
The Health Belief Model

Diabetic Mellitus (DM) is a widespread chronic disease around the world, among which type 2 DM (T2DM) shared the majority. It caused multiple severe complications and consequently a high mortality rate. DM complications overwhelm jeopardize the patient’s quality of life. In response to the threats of such complications, some nutraceuticals were developed, including the highly praised bitter melon peptide (BMP). This study aims to apply the structural equation model in HBM. A theoretical model had been developed on the health belief model (HBM), and to test with the structural equation model (SEM) technique to examine the fitness of the theory and the data gathered in this research. A structural questionnaire was developed and used to collect 292 valid responses from DM patients. The SEM results indicated the fitness of the theory and the data were acceptable. Perceived susceptibility of DM complications and perceived benefits of nutraceutical were major predictors of intake behavior, and the association of perceived benefits and behavior was mediated by the patient’s self-efficacy on nutraceutical intake behavior.

scholarly journals A SYSTEMATIC REVIEW OF STRUCTURAL EQUATION MODEL (SEM)

2020 ◽  
Vol 1 (2) ◽  
pp. 27-39
Author(s):  
H. O. Owolabi ◽  
J. K. Ayandele ◽  
D. D. Olaoye
Keyword(s):  
Structural Equation Model ◽  
Measurement Errors ◽  
Structural Equation ◽  
Statistical Technique ◽  
Equation Model ◽  
Equation Modeling ◽  
Weak Assumption ◽  
Multivariate Statistical ◽  
Software Packages ◽  
Complex Relationships

Structural Equation Model (SEM) is a multivariate statistical technique that has been explored to test relationships between variables. The use of SEM to analyze relationship between variables is premised on the weak assumption of path analysis, regression analysis and so on; that variables are measured without error. This review thus sheds light on the meaning of SEM, its assumptions, steps and some of the terms used in SEM. The importance of item parcelling to SEM and its methods were briefly examined. It also dealt on the stages involved in SEM, similarities and differences between SEM and conventional statistical methods, software packages that can be used for SEM. This article employed systematic literature review method because it critically synthesized research studies and findings on structural equation modeling (SEM). It could be concluded that SEM is useful in analyzing a set of relationships between variables using diagrams. SEM can also be useful in minimizing measurement errors and in enhancing reliability of constructs. Based on this, it is recommended that SEM should be employed to test relationship between variables since it can explore complex relationships among variables such as direct, indirect, spurious, hierarchical and non-hierarchical.

The Effect of Health Literacy, Self-management Behavior, Self-efficacy and Social Support on the Health-related Quality of Life of Kazakh Hypertension Patients in a Low-income Rural Area of China: a structural Equation Model

2020 ◽  
Author(s):  
Qinghua Zhang ◽  
Feifei Huang ◽  
Lei Zhang ◽  
Shasha Li ◽  
Jingping Zhang
Keyword(s):  
Social Support ◽  
Medication Adherence ◽  
Structural Equation Model ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Model ◽  
Self Management ◽  
Management Behavior ◽  
Related Quality ◽  
Health Related

Abstract Background Considering the High Blood Pressure-Health Literacy (HBP-HL) has not been included in the study of Health-Related Quality of Life (HRQoL). The synergistic effects and the potential mechanism HBP-HL, self-management behavior, medication adherence, self-efficacy, social support on HRQoL remain unclear. This study aimed to introduce the conception of HBP-HL, and develop a structural equation model to identify the factors influencing of the HRQoL among Kazakh hypertensive patients. Methods A cross-sectional investigation study was conducted to collect data. Patients with hypertension were recruited through random cluster sampling in Kazakh settlements in Urumqi County, Xinjiang. The one-on-one household interviews were conducted by Kazakh investigators. The questionnaires regarding HBP-HL, HRQoL, self-management behavior, medication adherence, self-efficacy, and social support were collected. In addition, the results of physical examination were also included. A structural equation model was used to assess the association between the measured factors and HRQoL. Results 516 Kazakh patients were recruited, and 94.4% of them had a relatively low HBP-HL score. The mean standardized scores of HRQoL, self-management, medication adherence were poor; they were 63.5, 66.2, and 64.4, respectively. But 96.1% and 98.3% of the participants had high levels of self-efficacy and social support. The structural equation model of the HRQoL had a good overall fit (χ2/df = 2.078, AGFI = 0.944, GFI = 0.968, CFI = 0.947, IFI = 0.949, RMSEA = 0.046). The model indicated that the HBP-HL has the highest correlation with HRQoL, following with self-management behavior, social support, and self-efficacy. Conclusions Evidence from this study demonstrates that low HBP-HL is a major influenced factor of HRQoL among Kazakh hypertensive patients. Future programs should consider HBP-HL as the breakthrough point when designing targeting intervention strategies for Kazakh hypertension patients. Firstly, researchers should give a priority to evaluate patient’s HBP-HL before intervention. Next, tailored interventions are implemented for patients, and and ultimately it will contribute to control blood pressure and improve patients’ HRQoL.

Application of Structural Equation Model and AMOS Software

2014 ◽  
Vol 687-691 ◽  
pp. 1577-1579 ◽  
Author(s):  
Zhi Rong Wei
Keyword(s):  
Theoretical Model ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Group Analysis ◽  
Theoretical Models ◽  
Equation Model ◽  
Equation Modeling ◽  
Software Analysis ◽  
Depth Analysis

The Amos 17 is the structural equation model (Structural Equation Modeling, SEM), which is one of the important software analysis. With the application of SEM technology in depth, analysis of multi group structural equation model (Multiple-Group Analysis) has gradually attracted researcher’s attention.. Stability of deep test theoretical model by examining the effect of its regulating variable, and the method is not only suitable for fitting degree test theoretical models in the regulation of variables of different level, but also for the fitting problem to test the tracking data and theoretical model. Through a case study of their own, using Amos 17 software as the basis introduces the basic principle of multi group structural equation model analysis technique and its use method in the study of Applied Linguistics to domestic applied linguistics intends to use the method which will provide examples of reference.

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