The Associations of Patient Demographic Characteristics and Health Information Recall: The Mediating Role of Health Literacy

2009 ◽  
Vol 16 (4) ◽  
pp. 419-432 ◽  
Author(s):  
Brian J. Ayotte ◽  
Jason C. Allaire ◽  
Hayden Bosworth
Keyword(s):  
Health Literacy ◽  
Health Information ◽  
Demographic Characteristics ◽  
Information Recall ◽  
Patient Demographic ◽  
Mediating Role

Does health literacy mediate the relationship between socioeconomic status and health disparities? Integrative review

2018 ◽  
Vol 34 (5) ◽  
pp. e1-e17 ◽  
Author(s):  
Coraline Stormacq ◽  
Stephan Van den Broucke ◽  
Jacqueline Wosinski
Keyword(s):  
Socioeconomic Status ◽  
Risk Factor ◽  
Health Disparities ◽  
Health Literacy ◽  
Comparison Method ◽  
Socioeconomic Disparities ◽  
Modifiable Risk Factor ◽  
Mediating Role ◽  
The Relationship

Summary While socioeconomic disparities are among the most fundamental causes of health disparities, socioeconomic status (SES) does not impact health directly. One of the potential mediating factors that link SES and health is health literacy (HL). Yet although HL can be considered a modifiable risk factor of socioeconomic disparities in health, the relationship between SES, HL and health disparities is not well understood. This study reviewed the evidence regarding the mediating role of HL in the relationship between socioeconomic and health disparities. Medline, Cinahl, Embase, PsychInfo, Eric, Web of Science, Google, Google Scholar, Mednar, Doaj and Worldcat were used to retrieve studies that specifically addressed socioeconomic and socio-demographic factors related to low HL levels, as well as the mediating role of HL in the relationship between SES and disparities in health outcomes. Selected studies were assessed for methodological quality. Sixteen published studies were retained for inclusion and content analyzed using the constant comparison method. The review indicates that disadvantaged social and socioeconomic conditions contribute to low HL levels, whereby low SES, and particularly educational attainment, is the most important determinant of HL, and that HL mediates the relationship between SES and health status, quality of life, specific health-related outcomes, health behaviors and use of preventive services. HL can be considered as a modifiable risk factor of socioeconomic disparities in health. Enhancing the level of HL in the population or making health services more accessible to people with low HL may be a means to reach a greater equity in health.

scholarly journals Digital Health Literacy and Sport-Physical Activities: The Moderating Role of Age

2020 ◽  
Author(s):  
Ilija Moric ◽  
Sanja Pekovic ◽  
Jelena Jovanovic
Keyword(s):  
Health Literacy ◽  
Digital Health ◽  
Demographic Characteristics ◽  
Physical Activities ◽  
Specific Information ◽  
Direct Relation ◽  
Related Information ◽  
Health Related ◽  
Moderating Role

Abstract Background : The present study extends understanding of digital health literacy by exploring issues that clarify how and when sport-physical activities enhance digital health literacy measured by four types of health-related information searched on the Internet i.e., general health information, information on a specific injury or condition, specific information on a medical treatment or procedure and information regarding second opinion after visiting a doctor. Methods: We employ Tobit model on the large European data (N=5,318). Results: We find support for direct relation between sport-physical activities and digital health literacy. In addition, we find that the effect of sport-physical activities on digital health literacy is reversed when interacted with age. Conclusion: This evidence is consistent with the view that sport-physical activities can be considered as an important tool for digital health literacy improvement but only under certain socio-demographic characteristics.

Relationship between subjective socioeconomic status and sense of gain of health-care reform and the mediating role of self-rated health: A cross- sectional study in China

2021 ◽  
Author(s):  
Yuan Su ◽  
Yueping LI
Keyword(s):  
Health Care ◽  
Socioeconomic Status ◽  
Health Care Reform ◽  
Educational Background ◽  
Demographic Characteristics ◽  
Mediating Effect ◽  
Subjective Socioeconomic Status ◽  
Mediating Role ◽  
Self Rated Health

Abstract Background: The sense of gain has gradually become the main evaluation index for the effectiveness of China’s deepening reform and is affected by many factors. However, there is no relevant research on the sense of gain of health-care reform (SGHR) and its influencing factors. The purpose of this study was to explore the influence of subjective socioeconomic status (SSS) on SGHR and the mediating role of self-rated health (SRH) between them.Methods: Data (27,437 samples total) from China Family Panel Studies (CFPS) in 2018 were included in the analysis. A nonparametric test was used to explore the differences in demographic characteristics of SGHR, and a correlation analysis and mediating effect model were used to explore the influence of SSS on SGHR and the mediating effect of SRH.Results: Demographic characteristics such as age, urban and rural areas, educational background, marriage and choice of medical treatment had significant differences in the distribution of perceived acquisition of medical reform. SSS, SHR and SGHR are positively correlated with each other. SSS not only directly affects SGHR positively but also indirectly affects SGHR through SRH.Conclusions: SSS is an important predictor of SGHR, and SHR plays a partially mediating role in SGHR.

Customer Satisfaction and the Role of Demographic Characteristics in Online Banking

2016 ◽  
pp. 1786-1802 ◽  
Author(s):  
Luc Honore Petnji Yaya ◽  
Frederic Marimon ◽  
Marti Casadesus
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Positive Impact ◽  
Perceived Value ◽  
Demographic Characteristics ◽  
Online Banking ◽  
Demographic Profiles ◽  
Mediating Role ◽  
Major Predictor

This chapter proposes a model that (1) analyzes the direct and indirect effects of e-service quality on satisfaction and value with the moderating/mediating role of value as well as (2) analyzes the positive impact of gender, age, education, and income on quality, satisafaction, and value. The overall results show service quality is a major predictor of perceived value, which in turn is positively related to customer satisfaction. The mediating/moderating role of perceived value on the relationship between service quality and satisfaction is confirmed. Contrary to the proposed hypothesis, no relationships and no differences in the various subgroups categories of age, education, and income are detected in terms of service quality, value, and satisfaction. Consequently, customers' demographic characteristics limitation on the adoption of online banking is now history. However, the authors recommend that managers always consider each segment of the customers' demographic profiles individually while making their decisions.

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