scholarly journals Connecting Climate and Communicable Disease to Penta Helix Using Hierarchical Likelihood Structural Equation Modelling

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 657
Author(s):  
Rezzy Eko Caraka ◽  
Maengseok Noh ◽  
Rung-Ching Chen ◽  
Youngjo Lee ◽  
Prana Ugiana Gio ◽  
...  
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Healthy Lifestyle ◽  
Communicable Disease ◽  
Well Being ◽  
Equation Modeling ◽  
Human Beings ◽  
The Sustainable Development ◽  
Healthcare Facilities ◽  
Hierarchical Likelihood

Design: Health issues throughout the sustainable development goals have also been integrated into one ultimate goal, which helps to ensure a healthy lifestyle as well as enhances well-being for any and all human beings of all social level. Meanwhile, regarding the clime change, we may take urgent action to its impacts. Purpose: Nowadays, climate change makes it much more difficult to control the pattern of diseases transmitted and sometimes hard to prevent. In line with this, Centres for Disease Control (CDC) Taiwan grouped the spread of disease through its source in the first six main groups. Those are food or waterborne, airborne or droplet, vector-borne, sexually transmitted or blood-borne, contact transmission, and miscellaneous. According to this, academics, government, and the private sector should work together and collaborate to maintain the health issue. This article examines and connects the climate and communicable aspects towards Penta-Helix in Taiwan. Finding: In summary, we have been addressing the knowledge center on the number of private companies throughout the health care sector, the number of healthcare facilities, and the education institutions widely recognized as Penta Helix. In addition, we used hierarchical likelihood structural equation modeling (HSEMs). All the relationship variables among climate, communicable disease, and Penta Helix can be interpreted through the latent variables with GoF 79.24%.

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.

Effect of Spiritually Dimensions on Martial Satisfaction

2017 ◽  
Vol 9 (2) ◽  
pp. 117
Author(s):  
Kamal Khurana
Keyword(s):  
Structural Equation Modeling ◽  
Marital Satisfaction ◽  
Marital Quality ◽  
Latent Variables ◽  
Structural Equation ◽  
Positive Impact ◽  
Well Being ◽  
Equation Modeling ◽  
Relationship With God ◽  
Cross Sectional

Spiritually is an essential part of our physical and mental well-being. Spirituality dimensions also effects marital quality. This paper presents evidences that there exists a positive effect of spirituality dimensions on marital satisfaction. The results are proved through structural equation modeling among the latent variables- direct relationship with God, relationship with God through others and martial satisfaction- in a cross-sectional study of 382 married adults aged 18 to 48 years comprising of 225 males and 157 female respondents. Data was collected in Delhi NCR region through self-administrated questionnaire formulated through marital quality index (Norton, 1983)15 and daily spiritual scale (Underwood, 2002)19. Results of structural equation modeling suggest that there is a positive impact of spirituality dimensions on marital satisfaction.

scholarly journals Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252205
Author(s):  
Mahalingam Vasantha ◽  
Malaisamy Muniyandi ◽  
Chinnaiyan Ponnuraja ◽  
Ramalingam Srinivasan ◽  
Perumal Venkatesan
Keyword(s):  
Quality Of Life ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Monte Carlo Algorithm ◽  
Equation Modeling ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Background The use of Bayesian Structural Equation Model (BSEM) to evaluate the impact of TB on self-reported health related quality of life (HRQoL) of TB patients has been not studied. Objective To identify the factors that contribute to the HRQoL of TB patients using BSEM. Methods This is a latent variable modeling with Bayesian approach using secondary data. HRQoL data collected after one year from newly diagnosed 436 TB patients who were registered and successfully completed treatment at Government health facilities in Tiruvallur district, south India under the National TB Elimination Programme (NTEP) were used for this analysis. In this study, the four independent latent variables such as physical well–being (PW = PW1-7), mental well-being (MW = MW1-7), social well-being (SW = SW1-4) and habits were considered. The BSEM was constructed using Markov Chain Monte Carlo algorithm for identifying the factors that contribute to the HRQoL of TB patients who completed treatment. Results Bayesian estimates were obtained using 46,300 observations after convergence and the standardized structural regression estimate of PW, MW, SW on HRQoL were 0.377 (p<0.001), 0.543 (p<0.001) and 0.208 (p<0.001) respectively. The latent variables PW, MW and SW were significantly associated with HRQoL of TB patients. The age was found to be significantly negatively associated with HRQoL of TB patients. Conclusions The current study demonstrated the application of BSEM in evaluating HRQoL. This methodology may be used to study precise estimates of HRQoL of TB patients in different time points.

scholarly journals Welfare and Wealth in Iran: Rural and Urban Dichotomies

2019 ◽  
Author(s):  
Sediqe Shafiei ◽  
Shahram Yazdani ◽  
A Hamid Zafarmand ◽  
Mohammad-Pooyan Jadidfard ◽  
sareh Shakerian
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Well Being ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban ◽  
Effective Policy ◽  
Relationship Of

Abstract Objective : Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other , as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Results : The Structural Equation Modeling ( SEM ) method was used to analyze the data and investigate the causal relationship of latent variables. Observed variables and latent variables of the model were analyzed and tested by using AMOS and SPSS (version 21) statistical methods, in two exploratory and confirmatory steps. Wealth and welfare were identified as two separate subjects in the conceptual model and in the final structural model for rural households. Unlike, in the urban community, they were recognized as a single category in the final structural model. The results of this study can provide the clear hints for effective policy making to break the cycle of deprivation and poverty in Iranian rural and urban population.

scholarly journals Psychosocial Working Conditions and Well-Being of Migrant Workers in Spain

2020 ◽  
Vol 17 (7) ◽  
pp. 2547 ◽  
Author(s):  
Francisco Díaz Bretones ◽  
Aditya Jain ◽  
Stavroula Leka ◽  
Pedro A. García-López
Keyword(s):  
Working Conditions ◽  
Migrant Workers ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Equation Modeling ◽  
Working Population ◽  
Psychosocial Working Conditions ◽  
Confirmatory Factor ◽  
The Relationship

This study examines the relationship beween employment and psychosocial working conditions and well-being of native and migrant workers in the working population of Spain. Data from the 7th Spanish Survey of Working Conditions was used to conduct a confirmatory factor analysis (n = 8508) to identify the main latent variables that influenced well-being. Using structural equation modeling and multivariate analysis, we found different patterns and perceptions of well-being and working conditions in these two groups. We discuss the reasons for these differences and suggest directions for further research in this area.

scholarly journals A Structural Equation Modeling of the Wealth and Welfare Components in Iranian Households: Rural and Urban Dichotomies

2020 ◽  
Author(s):  
Sediqe Shafiei ◽  
Sareh Shakerian ◽  
Shahram Yazdani ◽  
Mohammad-Pooyan Jadidfard ◽  
A. Hamid Zafarmand
Keyword(s):  
Structural Equation Modeling ◽  
Rural Areas ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Land Ownership ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban

Abstract Background: Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other, as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Methods: The components of wealth and welfare were determined based on the national data comprising 19261 rural and 18701 urban household participants. Initially, the conceptual model was drawn. Later, observed and latent variables of the model were analyzed and tested using AMOS software, in two exploratory and confirmatory factor analyses. Finally, the Structural Equation Modeling was used to analyze the data and investigate the causal relationship of latent variables.Results: The findings showed that the factors generating wealth in the urban initiate from education and lead to employment and then into income and ultimately provide wealth and welfare. Plus, there is no separation between the concept of welfare and wealth in urban society. However, land ownership is the prerequisite for wealth and welfare issues in a rural community. Moreover, wealth and welfare are two distinct phenomena in rural areas. Conclusions: The results of this study would provide the clear hints for effective policy making to resolve deprivation and poverty in Iranian rural and urban populations, prioritizing education for urban and land ownership for rural areas.

scholarly journals A Structural Equation Modeling of the Wealth and Welfare Components in Iranian households: Rural and Urban Dichotomies

2020 ◽  
Author(s):  
Sediqe Shafiei ◽  
Sareh Shakerian ◽  
Shahram Yazdani ◽  
Mohammad-Pooyan Jadidfard ◽  
A. Hamid Zafarmand
Keyword(s):  
Structural Equation Modeling ◽  
Rural Areas ◽  
Latent Variables ◽  
Structural Equation ◽  
Well Being ◽  
Land Ownership ◽  
Equation Modeling ◽  
Comprehensive Model ◽  
Contributing Factors ◽  
Rural And Urban

Abstract Background Increasing social welfare and reducing poverty are to ensure the well-being of all classes of a society. Cities and villages are distinguished by cultural and economic disparities. The purpose of this study was to develop and present a comprehensive model on welfare and wealth components and their relationship with each other, as well as determining the contributing factors and variables affecting them by presenting a comprehensive model. Methods The components of wealth and welfare were determined based on the national data comprising 19261 rural and 18701 urban household participants. Initially, the conceptual model was drawn. Later, observed and latent variables of the model were analyzed and tested using AMOS software, in two exploratory and confirmatory factor analyses. Finally, the Structural Equation Modeling was used to analyze the data and investigate the causal relationship of latent variables. Results The findings showed that the factors generating wealth in the urban initiate from education and lead to employment and then into income and ultimately provide wealth and welfare. Plus, there is no separation between the concept of welfare and wealth in urban society. However, land ownership is the prerequisite for wealth and welfare issues in a rural community. Moreover, wealth and welfare are two distinct phenomena in rural areas. Conclusions The results of this study would provide the clear hints for effective policy making to resolve deprivation and poverty in Iranian rural and urban populations, prioritizing education for urban and land ownership for rural areas.

Environmental risk perception and its influence on well-being

2017 ◽  
Vol 11 (1) ◽  
pp. 35-50 ◽  
Author(s):  
Ge Xu ◽  
Xiangnan Feng ◽  
Yiwei Li ◽  
Xiaohong Chen ◽  
Jianmin Jia
Keyword(s):  
Risk Perception ◽  
Environmental Risk ◽  
Questionnaire Survey ◽  
Latent Variables ◽  
Structural Equation ◽  
Socioeconomic Development ◽  
Well Being ◽  
Equation Modeling ◽  
Content Type ◽  
Environmental Risk Perception

Purpose This study aims to investigate the effects of environmental risk perception on the evaluation of socioeconomic development and subjective well-being in China. Design/methodology/approach A questionnaire survey was conducted, and data were collected from 408 participants of four major universities and government organizations in Changsha, China. Structural equation modeling (SEM) was used to analyze the collected data and to test the hypotheses with regard to the relationship among latent variables. Bayesian method was used as the statistical inference procedure. Findings Results show that environmental risk perception has a direct negative influence on perceived socioeconomic development and on subjective total well-being (i.e. both hedonic and eudaimonic well-being). The perceived socioeconomic development has a direct positive effect on the subjective total well-being; thus, it plays a partial mediation role between environmental risk perception and subjective total well-being. Research limitations/implications Findings suggest that the environment protection act of the government and their contribution to socioeconomic development will significantly affect the total well-being of people. The empirical analysis is based on survey data; thus, this study may suffer the common problems of questionnaire survey. Social implications Promoting pro-environment and health behaviors is important in developing a happy society. Originality/value This study demonstrates a significant negative effect of environmental risk perception on the total well-being of people according to SEM approach. This study determines two independent paths for government and policy makers to increase the total well-being of people in China, namely, increasing socioeconomic value to people and controlling and reducing environmental threats.

Mediating Role of Resilience on Nursing Faculty and Student QoL during COVID-19

2021 ◽  
pp. 019394592110246
Author(s):  
Tina Antill Keener ◽  
Kesheng Wang ◽  
Katherine Hall ◽  
Tara Hulsey ◽  
Ubolrat Piamjariyakul
Keyword(s):  
Nursing Education ◽  
Nursing Faculty ◽  
Latent Variables ◽  
Structural Equation ◽  
Negative Impact ◽  
Well Being ◽  
Equation Modeling ◽  
Mediating Role ◽  
Positive Direct

COVID-19 greatly impacted nursing education and required nursing faculty and students to quickly adapt to changes caused by disease mitigation. The purpose of this study was to examine the mediating effects of resilience between the influence of demographics and school-related risk factors and nursing faculty and student quality of life (QoL) during the COVID-19 pandemic. A secondary data analysis was conducted using structural equation modeling to examine the mediating role of resilience on latent variables. Resilience had a positive, direct effect on nursing faculty and student QoL. Having a designated home workspace and being well-prepared for online learning had positive, indirect effects on QoL, mediated through resilience. Assisting children with schoolwork had a negative impact on the psychological and environmental QoL domains. Remarkably, having a caregiver role positively influenced the psychological QoL domain. Supporting and promoting faculty and nursing students’ health and well-being is imperative during and after the pandemic.

scholarly journals Dead or alive: The interplay of grandparental investment according to the survival status of other grandparent types

2020 ◽  
Author(s):  
Samuli Helle ◽  
Antti O Tanskanen ◽  
Jenni Pettay ◽  
Mirkka Danielsbacka
Keyword(s):  
Latent Variables ◽  
Structural Equation ◽  
Inclusive Fitness ◽  
Well Being ◽  
Positive Influence ◽  
Equation Modeling ◽  
Survival Status ◽  
Wide Range ◽  
Successive Generations ◽  
Grandparental Investment

BACKGROUNDAccording to the kin selection theory, grandparental investment has its evolutionary roots in the individuals’ aim to maximise their inclusive fitness. Owing to an increasing overlap between successive generations in modern affluent populations, the importance of grandparental investment remains high. Despite the growing literature on this topic, there is limited knowledge regarding how the survival status of different grandparent types influences each other’s investment in grandchildren. OBJECTIVEThe present study examined how the survival status of grandparents influenced grandparental investment among other grandparent types using a wide range of grandparental investment variables divided into two latent constructs measuring relationship quality between grandparents and grandchildren and grandparental involvement in grandchildren.METHODSWe used Bayesian structural equation modeling with multiple-indicator latent variables and the Involved Grandparenting and Child Well-Being Survey, providing nationally representative data of British and Welsh adolescents aged 11–16-years.RESULTSMaternal grandmothers’ investment was most strongly influenced by whether other grandparents were dead or alive. Living maternal grandfathers and paternal grandmothers had an almost identical positive influence on the investment of maternal grandmothers in their grandchildren. Weaker evidence suggested that living maternal grandmothers decreased the investment of paternal grandmothers and grandfathers. CONCLUSIONSThese findings suggest the opposite influences of the survival status of paternal and maternal grandmothers on their investment. The results are discussed with reference to kin competition and incidental exposure.CONTRIBUTIONThe current study represents the first attempt to test whether the survival status of other grandparents is associated with focal grandparents’ investment within and between lineages.

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