scholarly journals Health Information Seeking Behaviors of Ethnically Diverse Adolescents

2013 ◽  
Vol 16 (4) ◽  
pp. 652-660 ◽  
Author(s):  
Anastasia E. Okoniewski ◽  
Young Ji Lee ◽  
Martha Rodriguez ◽  
Rebecca Schnall ◽  
Alexander F. H. Low
Keyword(s):  
Health Information ◽  
Information Seeking ◽  
Ethnically Diverse ◽  
Health Information Seeking ◽  
Information Seeking Behaviors ◽  
Ethnically Diverse Adolescents

scholarly journals Rural Men’s Health, Health Information Seeking, and Gender Identities: A Conceptual Theoretical Review of the Literature

2016 ◽  
Vol 12 (4) ◽  
pp. 863-876 ◽  
Author(s):  
Bradley Hiebert ◽  
Beverly Leipert ◽  
Sandra Regan ◽  
Jacquelyn Burkell
Keyword(s):  
Health Care ◽  
Health Information ◽  
Information Seeking ◽  
Care Delivery ◽  
Men’S Health ◽  
Men's Health ◽  
Healthy Population ◽  
Health Information Seeking ◽  
Gender Identities ◽  
Information Seeking Behaviors

Beginning as early as 2009, recent shifts in Canadian health care delivery indicate that access to health information is essential to promote and maintain a healthy population. It is important to understand how and where various populations, such as underresourced rural populations, access health information so that public health agencies can develop and deliver appropriate information with, for, and in these contexts. There is a paucity of research that specifically examines how rural Canadian men seek health information; therefore, this review aimed to conceptualize this process based on three dynamic key constructs: health patterns of rural Canadians, health information–seeking behaviors, and rural gender identities. This conceptual theoretical literature review included 91 articles at the intersection of these three constructs. Discussion focuses on how residing in a rural region influences men’s health and health care access. Health information–seeking behaviors are discussed in terms of social networks and framed with a rural context. Connell’s theory of masculinity provides a useful approach to dissecting how rural men’s gender identities influence their health attitudes, and how such attitudes are embedded in rural social and cultural norms. Each major construct—health in rural Canada, health information seeking, and rural gender identities—is discussed to highlight how specific embodiments of masculinity may promote and inhibit men’s health information–seeking and positive health behaviors.

scholarly journals EDUCATION, LITERACY, NUMERACY AND HEALTH INFORMATION SEEKING IN LATER LIFE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S322-S322
Author(s):  
Takashi Yamashita ◽  
Anthony R Bardo ◽  
Roberto J Millar ◽  
Shalini Sahoo ◽  
Phyllis Cummins ◽  
...  
Keyword(s):  
Health Status ◽  
Health Literacy ◽  
Health Information ◽  
Information Seeking ◽  
Information Sources ◽  
Later Life ◽  
Health Information Seeking ◽  
Education And Health ◽  
Nationally Representative ◽  
Information Seeking Behaviors

Abstract Health information plays a critical role for health promotion and maintenance in later life. While health information seeking is primarily driven by need (e.g., health), significantly less is known about the roles of education and health-literacy. Thus, we examine complex pathways that link health information seeking behaviors with education and health literacy (decomposed into general literacy and numeracy), and how these pathways differ by health status among a nationally representative sample of Americans age 50 and older (n = 2,750). Data come from the 2012/2014 Program for International Assessment of Adult Competencies. Multi-group structural equation models were used to examine the use of eight health information sources (newspapers, magazines, internet, radio, TV, books, friends/family, and health professionals) by health status (good vs. poor). Findings showed that literacy and numeracy are significant mediators of the relationship between education and health professional as an information source. Additionally, the mediation effects on health professionals by literacy status [indirect-effect (good vs. poor health) = 0.48 vs. 2.13, p < 0.05] and numeracy [indirect-effect (good vs. poor health) = -0.47 vs. -1.81, p < 0.05] were significantly moderated by health. At the same time, no moderated mediation effect was observed in the use of any other information sources. This study provides some of the first nationally representative evidence regarding how education functions through health literacy components to shape health information seeking behaviors by health status. Explanations and implications for differing effects of education, literacy, and numeracy on health information seeking in later life were evaluated.

Predictors of Online Health Information-seeking Behaviors among College Latino Men

2017 ◽  
Vol 4 (4) ◽  
pp. 367-379
Author(s):  
Enmanuel A. Chavarria ◽  
Beth H. Chaney ◽  
Michael L. Stellefson ◽  
J. Don Chaney ◽  
Nikita E. Chavarria ◽  
...  
Keyword(s):  
Health Information ◽  
Information Seeking ◽  
Online Health Information ◽  
Health Information Seeking ◽  
Latino Men ◽  
Online Health Information Seeking ◽  
Information Seeking Behaviors

scholarly journals Explaining Online Information Seeking Behaviors in People With Different Health Statuses: German Representative Cross-sectional Survey (Preprint)

2020 ◽  
Author(s):  
Elena Link ◽  
Eva Baumann ◽  
Christoph Klimmt
Keyword(s):  
Health Information ◽  
Information Seeking ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Explanatory Power ◽  
Integrative Model ◽  
Equation Modeling ◽  
Online Information ◽  
Health Information Seeking ◽  
Information Seeking Behaviors

BACKGROUND Worldwide, the internet is an increasingly important channel for health information. Many theories have been applied in research on online health information seeking behaviors (HISBs), with each model integrating a different set of predictors; thus, a common understanding of the predictors of (online) HISB is still missing. Another shortcoming of the theories explaining (online) HISB is that most existing models, so far, focus on very specific health contexts such as cancer. Therefore, the assumptions of the Planned Risk Information Seeking Model (PRISM) as the latest integrative model are applied to study online HISB, because this model identifies the general cognitive and sociopsychological factors that explain health information seeking intention. We shift away from single diseases and explore cross-thematic patterns of online HISB intention and compare predictors concerning different health statuses as it can be assumed that groups of people perceiving themselves as ill or healthy will differ concerning their drivers of online HISB. Considering the specifics of online HISB and variation in individual context factors is key for the development of generalizable theories. OBJECTIVE The objective of our study was to contribute to the development of the concept of online HISB in 2 areas. First, this study aimed to explore individual-level predictors of individuals’ online HISB intention by applying the postulates of PRISM. Second, we compared relevant predictors of online HISB in groups of people with different health statuses to identify cross-thematic central patterns of online HISB. METHODS Data from a representative sample of German internet users (n=822) served to explain online HISB intentions and influencing patterns in different groups of people. The applicability of the PRISM to online HISB intention was tested by structural equation modeling and multigroup comparison. RESULTS Our results revealed PRISM to be an effective framework for explaining online HISB intention. For online HISB, attitudes toward seeking health information online provided the most important explanatory power followed by risk perceptions and affective risk responses. The multigroup comparison revealed differences both regarding the explanatory power of the model and the relevance of predictors of online HISB. The online HISB intention could be better explained for people facing a health threat, suggesting that the predictors adopted from PRISM were more suitable to explain a problem-driven type of information-seeking behavior. CONCLUSIONS Our findings indicate that attitudes toward seeking health information online and risk perceptions are of central importance for online HISB across different health-conditional contexts. Predictors such as self-efficacy and perceived knowledge insufficiency play a context-dependent role—they are more influential when individuals are facing health threats and the search for health information is of higher personal relevance and urgency. These findings can be understood as the first step to develop a generalized theory of online HISB.

scholarly journals Health Information-Seeking Behaviors of a German Speaking Minority in Italy: Latent Class Analysis of a Population-Based Cross-Sectional Survey

2021 ◽  
Author(s):  
Dietmar Ausserhofer ◽  
Wolfgang Wiedermann ◽  
Christian J. Wiedermann ◽  
Ulrich Becker ◽  
Anna Vögele ◽  
...  
Keyword(s):  
Latent Class Analysis ◽  
Health Information ◽  
Information Seeking ◽  
Latent Class ◽  
Population Based ◽  
Health Information Seeking ◽  
Class Analysis ◽  
Online Class ◽  
German Speaking ◽  
Information Seeking Behaviors

Abstract Latent classes of health information-seeking behaviors of adults in a German-speaking minority of Italy were explored in a population-based, telephone survey on 10 health information sources conducted in South Tyrol, Italy. Data were collected from 504 adults (primary language German 68%, Italian 28%) and analyzed using latent class analysis and latent class multinomial logistic regression models. Three classes of health information-seeking behaviors emerged: “multidimensional” (23.3%), “interpersonal” (38.6%) and “technical/online” (38.1%). Compared to the “technical/online” class, “interpersonal” class members were older, had lower education than high school, and were less likely to be of Italian ethnicity. “Multidimensional” class members were more likely to be female, older, and of German ethnicity than those in the “technical/online” class. Linguistic ethnicity explains membership in classes of health-information-seeking behaviour. Policy makers and healthcare providers need to consider the health information-seeking behaviors of population subgroups to promote the health literacy skills of language minority groups.

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