scholarly journals An Examination of the Meikirch Model’s Multidimensional Definition of Health and Aging

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 372-373
Author(s):  
Hillary Dorman ◽  
Rebecca Allen ◽  
Patricia Parmelee ◽  
Lisa McGuire
Keyword(s):  
Health Outcome ◽  
Health Behavior ◽  
Health Outcomes ◽  
Structural Equation ◽  
Age Groups ◽  
Total Sample ◽  
Equation Modeling ◽  
Behavioral Risk ◽  
Definition Of Health ◽  
Definition Of

Abstract The present study used the CDC’s 2017 Behavioral Risk Factor Surveillance System and Structural Equation Modeling (SEM) to test the Meikirch model’s theoretical definition of health and aging. This biopsychosocial and ecological framework considers the dynamic interplay between an individual’s biology, health behavior and health potential, social surroundings, physical environment, and demands of living on both mental and physical health outcomes. A total sample of 96,568 adults were included with a mean age of 66.05 years (SD = 9.91). Individuals were classified in the following age groups: 43% middle-aged (45-64 years), 33% young-old (65-74 years), and 25% old-old adults (75+ years). The sample was largely female (61%), Non-Hispanic White (86%), and urban (67%). A CFA and WLSMV estimation was used to assess each latent construct. The overall SEM model was found to be a good fit (RMSEA=0.05, CFI=0.94, TLI=0.90), explained a significant portion of the variance in the health outcome (65%), and appeared to mimic prior literature on health variable relationships. An important finding within this study suggests the significant relationship between education, personally acquired potential, and health outcome variables. Underscoring health education and health literacy interventions may positively promote a person’s health behavior, resource access, and health outcomes across the lifespan. The Meikirch model can be used as a framework in public health interventions to better understand health adaptation, as well as behavioral risks and systematic hurdles. Overall, the study emphasizes how understanding health is not exclusively an individual hurdle to tackle, but a communal goal.

Application of Structural Equation Modeling to Health Outcomes Research

2005 ◽  
Vol 28 (3) ◽  
pp. 295-309 ◽  
Author(s):  
Ron D. Hays ◽  
Dennis Revicki ◽  
Karin S. Coyne
Keyword(s):  
Health Outcome ◽  
Structural Equation Modeling ◽  
Health Outcomes ◽  
Outcomes Research ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Health Outcomes Research

This article provides an overview of the basic underlying principles of structural equation modeling (SEM). SEM models have two basic elements: a measurement model and a structural model. The measurement model describes the associations between the indicators (observed measures) of the latent variables, whereas the structural model delineates the direct and indirect substantive effects among latent variables and between measured and latent variables. The application of SEM to health outcomes research is illustrated using two examples: (a) assessing the equivalence of the SF-36 and patient evaluations of care for English- and Spanish-language respondents and (b)evaluating a theoretical model of health in myocardial infarction patients. The results of SEM studies can contribute to better understanding of the validity of health outcome measures and of relationships between physiologic, clinical, and health outcome variables.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

scholarly journals Dynamics of Multimorbidity Resilience and Health Outcomes Over Time in Community-Residing Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 890-891
Author(s):  
Yingzhi Xu ◽  
Zahra Rahmaty ◽  
Eleanor McConnell ◽  
Tingzhong (Michelle) Xue ◽  
Bada Kang ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Physical Health ◽  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Psychological Resilience ◽  
Pain Level ◽  
Reciprocal Relationships ◽  
Over Time

Abstract Multimorbidity resilience may mitigate the adverse effects of multiple chronic diseases on older adults’ health. Wister et al.’s (2018) multimorbidity resilience index was developed and tested in a cross-sectional sample of older adults in Canada. Building on these findings, we examined the reciprocal relationships of resilience on outcomes to test these potentially mitigating effects in a community-based, U.S. sample of older adults over time. The study sample includes 1,054 older adults from waves 2 and 3 of the National Social Life, Health, and Aging Project (NSHAP) study (Waite et al 2020). Wister et al.’s (2018) index was mapped to NSHAP measures, and reciprocal relationships of multimorbidity resilience and health outcomes over a 5-year period was tested using structural equation modeling (SEM). Results indicated significant effects of multimorbidity resilience on self-rated physical health and pain. Interestingly, a better functional resilience at baseline conferred better self-rated physical health at follow-up, while better psychological resilience predicted lower pain level. By contrast, the influence of health outcomes on any domain of multimorbidity resilience was not detectable at all, supporting the direction of these associations from resilience to outcomes. The study systematically investigated the dynamic hypotheses between multimorbidity resilience and health outcomes. That is, whether they are determinants or consequences, or both. Our findings suggest multimorbidity resilience predicts subsequent 5-year change in health outcomes, especially self-rated physical health and pain level, but not vice versa, strengthening the evidence of the importance of resilience in the health of older adults.

scholarly journals The reasoned action approach applied to health behavior: Role of past behavior and test of some key moderators using meta-analytic structural equation modeling

2018 ◽  
Author(s):  
Martin S Hagger ◽  
Juho Polet ◽  
Taru Lintunen
Keyword(s):  
Structural Equation Modeling ◽  
Health Behavior ◽  
Indirect Effects ◽  
Structural Equation ◽  
Social Cognitive ◽  
Reasoned Action ◽  
Equation Modeling ◽  
Reasoned Action Approach ◽  
Data Set ◽  
Past Behavior

Rationale: The reasoned action approach (RAA) is a social cognitive model that outlines the determinants of intentional behavior. Primary and meta-analytic studies support RAA predictions in multiple health behaviors. However, including past behavior as a predictor in the RAA may attenuate model effects. Direct effects of past behavior on behavior may reflect non-conscious processes while indirect effects of past behavior through social cognitive variables may represent reasoned processes. Objective: The present study extended a previous meta-analysis of the RAA by including effects of past behavior. The analysis also tested effects of candidate moderators of model predictions: behavioral frequency, behavior type, and measurement lag.Method: We augmented a previous meta-analytic data set with correlations between model constructs and past behavior. We tested RAA models that included and excluded past behavior using meta-analytic structural equation modeling and compared the effects. Separate models were estimated in studies on high and low frequency behaviors, studies on different types of behavior, and studies with longer and shorter measurement lag.Results: Including past behavior attenuated model effects, particularly the direct effect of intentions on behavior, and indirect effects of experiential attitudes, descriptive norms, and capacity on behavior through intentions. Moderator analyses revealed larger intention-behavior and past behavior-behavior effects in high frequency studies, but the differences were not significant. No other notable moderator effects were observed.Conclusion: Findings indicate a prominent role for habitual processes in determining health behavior and inclusion of past behavior in RAA tests is important to yield precise estimates of model effects.

scholarly journals Do Transformational Leadership, Interpersonal Communication, and Career Development Have Direct and Indirect Effect on Diplomats’ Organizational Commitment at the Ministry of Foreign Affairs Republic of Indonesia in Jakarta?

2020 ◽  
Vol 4 (1) ◽  
pp. 59-73
Author(s):  
Asrarudin ◽  
Dedi Purwana ◽  
R. Madhakomala
Keyword(s):  
Transformational Leadership ◽  
Organizational Commitment ◽  
Career Development ◽  
Interpersonal Communication ◽  
Structural Equation ◽  
Total Sample ◽  
Foreign Affairs ◽  
Equation Modeling ◽  
Analysis Tool ◽  
The Republic

  Objective of this research is to determine direct and indirect effects of transformational leadership, interpersonal communication, and career development on the commitment of diplomats at the Ministry of Foreign Affairs of the Republic of Indonesia in Jakarta. The sample design used is probability sampling which provides equal opportunity for each element (member) of the population to be selected as a sample member. And the technique for determining the number of samples is proportionate Stratified Random Sampling. This technique is used because the population is not homogeneous and proportionally distributed. The research design used is a quantitative approach with a total sample of 255 respondents. The data analysis tool used is Structural Equation Modeling (SEM) with WarpPLS 5.0 software. This research reveals that transformational leadership has a positive and significant effect on interpersonal communication which indicates that the better transformational leadership, interpersonal communication will be more increased; transformational leadership has a positive and significant influence on career development which describes that the better transformational leadership, career development will get better; Transformational leadership contributes positively and significantly to organizational commitment through career development which shows an increase in career development then transformation leadership will be better and have an impact on increasing organizational commitment; and interpersonal communication has a positive but not significant role on organizational commitment through career development which shows that good interpersonal communication has neither effect on career development nor impact on the commitment of diplomatic organizations in the Ministry of Foreign Affairs of the Republic of Indonesia.  

scholarly journals CREATING EXPERIENCE VALUE TO BUILD STUDENT SATISFACTION IN HIGHER EDUCATION

2020 ◽  
Vol 1 (3) ◽  
pp. 349-359
Author(s):  
Muji Gunarto ◽  
Ratih Hurriyati
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Structural Equation ◽  
Student Experience ◽  
Sampling Technique ◽  
Total Sample ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Strong Ties ◽  
Campus Activities

Higher education products or services received by students are experiential values. The purpose of this study is how to create the values of student experience so that student satisfaction arises. Higher education should now focus on students by creating strong ties with students and alumni. This research was conducted with a survey confirmatory approach. The survey was conducted at 32 universities in South Sumatra Province, Indonesia with a total sample of 357 students. The sampling technique used was stratified random sampling and data analysis using structural equation modeling (SEM) analysis. The results showed that the values of experience in HE were formed through increased co-creation in HE, where students were directly involved in various campus activities. High co-creation shows that there is a stronger attachment of students to HE and higher value of student experience. Co-creation does not directly affect student satisfaction, but it does indirectly affect experience value. If the value of experience is higher, student satisfaction will also be higher.

scholarly journals Using structural equation modeling in the understanding of functional disability in older adults

2021 ◽  
Vol 29 ◽  
Author(s):  
Darlene Mara dos Santos Tavares ◽  
Nayara Gomes Nunes Oliveira ◽  
Flavia Aparecida Dias Marmo ◽  
Joilson Meneguci
Keyword(s):  
Older Adults ◽  
Sedentary Behavior ◽  
Structural Equation ◽  
Functional Disability ◽  
Depressive Symptomatology ◽  
Age Groups ◽  
Community Dwelling ◽  
Likelihood Method ◽  
Equation Modeling ◽  
Cross Sectional

Objective: to analyze functional disability and its associated factors among community-dwelling older adults. Method: a cross-sectional study, conducted with 1,635 older adults distributed in the following age groups: 60 to 69, 70 to 79, and 80 years old or more, living in a health macro-region of the state of Minas Gerais. Descriptive and trajectory analysis was carried out (p<0.05). The parameters were estimated by the Maximum Likelihood method. Results: the highest percentage was female, with a monthly income of 1 minimum wage and living with a companion. In the age groups from 60 to 69 and from 70 to 79 years old, older adults with a partner predominated; and, among those aged 80 years old or more, widowed individuals prevailed. In the three groups, functional disability occurred hierarchically. Lower schooling, frailty and depressive symptomatology were factors directly associated with functional disability in the advanced activities; frailty and sedentary behavior were directly associated with functional disability in the instrumental activities. In the older adults aged between 60 and 69 years old and from 70 to 79 years old, sedentary behavior was associated with greater dependence on the basic activities. Conclusion: the expanded understanding of the factors in the functional disability of the older adults, according to age group, helps the health professional in the development of preventive measures for this disease.

Perception and Intention of Youth's Towards Online Shopping

2016 ◽  
pp. 28-37
Author(s):  
Ajitabh Dash
Keyword(s):  
Young People ◽  
Structural Equation ◽  
Online Shopping ◽  
Age Groups ◽  
Equation Modeling ◽  
Eastern Region ◽  
Tam Model ◽  
Technological Acceptance Model ◽  
Acceptance Model ◽  
Consumer's Perception

This study aims to investigate youth consumer's perception and intention towards online shopping through integration of technological acceptance model (TAM). Data were collected from 263 young people residing in Bhubaneswar city of Odisha, a state in the eastern region of India through a structured questionnaire during May/June 2015. The structural Equation modeling was employed to analyze the data and validate the research model. The results of this study indicated that different perception variables have different relationships with behavioral intention of youths towards online shopping. The results from this study will be useful for e-commerce companies in formulating appropriate marketing strategies, as well as developing appropriate applications that will attract more consumers by increasing their benefit perception. This study is confined to the response of 263 young people residing in Bhubaneswar city of Odisha. In future of similar types of study may be conducted in either part of the state as well as country with a relatively larger sample size including customers from different age groups. Although past literatures have focused on technological aspects of online shopping, few studies have examined the perception and intention of youth towards online shopping. Furthermore, most studies on online shopping perception have focused on the relationships between technology adoption factors and perception of users. This study provides a basis for further refinement of TAM model to predict behavioral intentions of consumers towards online shopping.

Referencing in the Virtual World

2015 ◽  
Vol 4 (2) ◽  
pp. 12-29
Author(s):  
G. K. Deshmukh ◽  
Sanskrity Joseph
Keyword(s):  
Social Media ◽  
Virtual World ◽  
Structural Equation ◽  
Reference Group ◽  
Equation Modeling ◽  
Buying Behavior ◽  
Goods And Services ◽  
Negative Comments ◽  
Definition Of ◽  
The Impact

The fact that ‘Man is a social being' is seen and felt in real as well as in virtual world. The paper discusses the advent of concept of social customer. All customers who use social media to share their experience through their positive or negative comments related with goods and services used as well as those who browse social media for getting reference to arrive at a decision to buy or choose are social customers. In the above backdrop the researchers have tried to highlight following issues: (i) definition of Social Customers, (ii) impact of Social media as a reference group on social customer. The researchers have conducted an empirical study and analyzed the data through Structural equation modeling and provided guidelines to marketers on the impact of social media in general and e-WOM in particular on buying behavior of social customers.

Sign in / Sign up

Export Citation Format

Share Document