Hunnes Abstract Climate variations are occurring. Global temperatures are increasing, erratic precipitation patterns are becoming the norm, and extreme climatic events are becoming more severe and frequent. These environmental changes are having deleterious effects on the lives and livelihoods of poor rural farmers globally who depend on rain-fed agriculture for their income, for their health and nutritional status, and for their subsistence.
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The integrative model of eHealth use IMeHU provides a parsimonious account of the connections among the digital divide, health care disparities, and the unequal distribution and use of communication technologies. However, few studies have explored the associations among individual factors, eHealth literacy, and health behaviors, and IMeHU has not been empirically investigated.
Objective This study examines the associations among individual factors, eHealth literacy, and health behaviors using IMeHU.
A nationally representative sample of valid college students in Taiwan was surveyed. This study used Amos 6. We then conducted a multiple regression analysis to examine the associations among individual factors, eHealth literacy, and health behaviors.
Additionally, causal steps approach was used to explore indirect mediating effects and Sobel tests were used to test the significance of the mediating effects. Therefore, a follow-up study should be conducted to further explore how these factors influence one another. Furthermore, the percentage of students who ate breakfast daily was Data from a survey showed a 2-hour difference between the number of hours students spent sleeping on school days 6.
Many of the lifelong habits that jeopardize health are formed during childhood and adolescence [ 3 ]. As college students transition from adolescence into adulthood, their health habits may affect their future well-being. During this transition, those who have poor health habits may adopt better habits if they are given sound advice.
A number of studies on health behavior have focused on eating and exercise [ 46 ]. Given that sleep is a basic physiological need and an essential element in maintaining physical and mental health, we will examine the health behaviors of college students by measuring their eating, exercise, and sleep behaviors.
According to social cognitive theory [ 7 ], each factor possesses a self-regulating system that affects motivation and learner differentiation. Human behavior is influenced and affected by the individual, the behaviors of others, and the environment. This self-regulating system represents a process that is affected by bidirectional and interdependent associations between and among behaviors, environments, and personal experiences.
The model also proposes macrolevel disparities in the social structures that are connected to health disparities through the microlevel conduits of eHealth literacy, motivation, and ability. That is, individuals with low eHealth literacy have less incentive to use the Internet to access health information and consider themselves to be incapable of using Internet-based health information.
The IMeHU provides a parsimonious account of the connections among the digital divide, health care disparities, and the unequal distribution and use of communication technologies.
However, few studies have examined the associations among individual factors, eHealth literacy, and health behaviors. Similarly, there is a lack of empirical evidence regarding the IMeHU.
This study uses the IMeHU as a framework for examining the associations among individual factors, eHealth literacy, and health behaviors and to further validate the mediating effects of eHealth literacy on health behaviors and individual factors.
These studies found that college students with better self-perceived health status or those enrolled in medical-related fields engaged in healthier behaviors and had more positive health-related attitudes and habits than other students had. For example, medical school students adhere to a more positive, health-promoting lifestyle than do not medical school students [ 10 ].
Furthermore, elders who rate their social interactive networks positively demonstrate better health and engage in exercise more consistently [ 12 ]. Accordingly, we propose hypothesis H1: Some studies focus on defining eHealth literacy [ 13 - 15 ], some design eHealth literacy programs [ 1617 ], and others examine the effect and consequences of eHealth literacy [ 9 ].The authors acknowledge that this model is limited in its scope describing climate-related migration out of a community, but does not suggest destination, nor does it describe the facts that lead migrants to come to, or to return to, the exposed community.
Economics influence fertility rates more than other factors Date: April 30, Source: University of Missouri-Columbia Summary: Based on a recent study by an anthropologist, economic changes. The determinants of health fall under the following categories of factors: individual, socioeconomic, sociocultural, and environmental.
The determinants of health influence the health of all individuals and combine together to affect a person’s health either positively or negatively. Factors that influence health: An introduction 5 Living and working conditions Social and community influences on health have been recognised for some time, but it is also important to consider the conditions in which people live and work.
Every day, people are inundated with decisions, big and small. Understanding how people arrive at their choices is an area of cognitive psychology that has received attention.
Theories have been generated to explain how people make decisions, and what types of factors influence decision making in. An analysis of what's known as the Gini coefficient offers some clues on what makes one society more unequal in terms of income than another.