Search results

The aim of this paper is to study the association between health consciousness, health belief model and intention to engage in healthy activities in addition to use restaurants.

An electronic questionnaire was distributed through social media and university website including questions on demographic variables and Likert scaled aspects of health consciousness, health belief model and behavioral intention to practice healthy habits and use fast-food restaurants.

A total of 92 Palestinian adults participated in this study. Age 28.5 ± 9.7 years. Of the studied group, 28.6% were males, body mass index = 24.4 ± 4.1 kg/m². Average health consciousness was 12.3 ± 3.1, health belief model (susceptibility = 10.4 ± 6.8, severity = 12.7 ± 7.2, benefit = 28.1 ± 5.3 and barriers = 17.8 ± 6.8) and for behavioral intention = 21.1 ± 6.4. In final regression models, only benefit was significantly associated with health consciousness (B = 0.18 ± 0.07, p = 0.012) and behavioral intention B = 0.26 ± 0.13, p = 0.05). Only barrier and severity were associated significantly with number of using restaurants weekly (0.04 ± 0.02, p = 0.03) and (0.05 ± 0.02, p = 0.004), respectively.

Health belief model partially explained use of restaurants and healthy lifestyle among Palestinians. This is a cross-sectional design and future clinical trials are needed.

To the best of the authors’ knowledge, this is the first study to address the role of health belief model and health consciousness in improving dietary style and habits.

Social media greatly enhances public access to health information and thus attracts older adults who tend to attach more importance to their health. This study aims to identify the factors that contribute to the likelihood of older adults' health information sharing on social media.

By drawing on health belief (HBM) and elaboration likelihood models (ELM), a novel conceptual model integrating older adults' health belief and information processing is established to uncover the factors. Online survey data from 290 Chinese older adult users of WeChat, the most popular social media platform in China, were collected to test the research model.

As health belief-related variables, perceived susceptibility is positively associated with health information-sharing intention (HISI), while perceived severity negatively influences HISI, which is contrary to prior findings. For information processing, the positive impacts of argument quality and source credibility on HISI are fully mediated by perceived usefulness.

This study is one of the first studies to explore the initiative use of information and communication technology among older adults. The new theoretical perspective proposed herein considers health belief and information processing perspectives in a complementary manner and can facilitate an overall analysis of the factors influencing older adults' HISI in a social media context. This study also furthers understandings of the ELM and expands the theory of HBM to take the age of decision makers into account.

By selectively reviewing theory‐driven survey studies on internet health information seeking, the paper aims to provide an informal assessment of the theoretical foundations and research methods that have been used to study this information behavior.

After a review of the literature, four theory‐driven quantitative survey studies are analyzed in detail. Each study is examined in terms of: theoretical framework; research variables that form the focus of the study; research design (sampling, data collection and analysis); and findings and results of hypothesis testing and model testing. The authors then discuss the theoretical models and analytical methods adopted, and identify suggestions that could be helpful to future researchers.

Taken as a whole, the studies reviewed point strongly to the need for multidisciplinary frameworks that can capture the complexity of online health information behavior. The studies developed theoretical frameworks by drawing from many sources – theory of planned behavior, technology acceptance model, uses and gratifications, health belief model, and information seeking models – demonstrating that an integration of theoretical perspectives from the health sciences, social psychology, communication research, and information science, is required to fully understand this behavior. The results of these studies suggest that the conceptual models and analytical methods they adopted are viable and promising. Many relationships tested showed large effect sizes, and the models evaluated were able to account for between 23 and 50 percent of the variance in the dependent variables.

The paper represents a first attempt to compare, evaluate, and to a degree synthesize the work that has been done to develop and test theoretical models of health information seeking on the web.

The purpose of this paper is to help understand consumer acceptance of online health information services by integrating the health belief model and extended valence framework.

A laboratory-based, experimental-scenarios research design is used to collect data, and the structural equation modeling technique is used to test the research model.

The model explains 47.6 percent of the variance in intentions to use online health information services. Trust appeared to have the strongest effect on acceptance. Perceived risk also had a significant impact on acceptance. Furthermore, health belief variables are confirmed as important factors for consumer acceptance. Self-efficacy was found to moderate the effect of perceived severity on acceptance.

This study helped identify the relative salience of the health belief model and extended valence framework in consumer acceptance of online health information services.

This study can help practitioners better understand the development of trust and the profiles of consumers who may browse their sites. When online health service providers promote their information to encourage potential online health information seekers, they should use countermeasures against risk perceptions.

This study attempted to extend the valence framework to the non-commercial service context. Moreover, health beliefs and the valence framework are two fundamental aspects that health information seekers consider when making decisions about online health services.

Drawing on the Health Belief Model (HBM), this study aims to investigate the roles of health beliefs (i.e. perceived susceptibility, perceived severity, perceived benefits, perceived barriers, health self-efficacy and cues to action) in promoting college students’ smartphone avoidance intention.

Empirical data were collected through a cross-sectional survey questionnaire administered to 4,670 student smartphone users at a large university located in Central China. Further, a two-step Structural Equation Modeling was conducted using AMOS 22.0 software to test the hypothesized relationships in the research model.

Analytical results indicate that (1) perceived susceptibility, perceived severity, perceived benefits and health self-efficacy positively influence users’ smartphone avoidance intention; (2) perceived barriers negatively influence smartphone avoidance intention, while (3) cues to action reinforce the relationships between perceived susceptibility/perceived benefits and smartphone avoidance intention, but attenuate the relationships between perceived barriers/health self-efficacy and smartphone avoidance intention.

This study demonstrates that HBM is invaluable in explaining and promoting users’ smartphone avoidance intention, thereby extending extant literature on both HBM and smartphone avoidance.

Research on smartphone avoidance is still in a nascent stage. This study contributes to the field by offering a fresh theoretical lens for pursuing this line of inquiry together with robust empirical evidence.

This study aims to examine the extent to which anti‐smoking websites use intervention strategies that have been informed by four prominent theories of health‐related behavior change: the health belief model, the theory of reasoned action/theory of planned behavior, the transtheoretical model, and social cognitive theory.

Content analysis was applied to 67 unique and independent anti‐smoking websites to determine their use of 20 intervention strategies based on the four theories.

The findings reveal that anti‐smoking websites used the health belief model the most and social cognitive theory the least. In addition, websites devoted to smoking cessation used these theories more extensively than websites devoted to smoking prevention.

The sample size is somewhat small, which may result in lack of sufficient statistical power. Also, the analysis may have overlooked some important intervention strategies that are particularly effective for smoking intervention programs.

Anti‐smoking website designers should take more advantage of the internet as a health promotion medium and use more intervention strategies that have been informed by scientifically tested theories of behavior change, particularly with respect to affective and behavioral strategies.

This study contributes to current knowledge about which kinds of anti‐smoking messages are available online and how extensively they employ theory‐based intervention strategies.

Unlike traditional products and services, customer motivation to purchase green products/services may be due to non-marketing factors, such as their personal values about health. In this study, the authors aim to propose and validate an integrative model using both advertising attitude factors and health beliefs to explain purchase intention and word of mouth in the context of green marketing. The authors focus specifically on collectivist consumers as values and social norms that tend to be more salient in driving their decisions.

The model was tested empirically using a survey study with 308 Chinese consumers in Hong Kong. The data were analyzed using confirmatory composite analysis (CCA) and partial least squares structural equation modeling.

All health beliefs were significant predictors of green advertising attitude. Green satisfaction fully mediates the relationship between green advertising attitude and positive word of mouth for products and services with green advertising for collectivist Chinese consumers. Meanwhile, green satisfaction partially mediates the relationship between green advertising attitude and purchase intention. In addition, green brand equity partially mediates the green advertising attitude–purchase intention/positive word of mouth link.

The significant impacts of health belief factors on green advertising attitude present important implications to advertising managers in terms of the use of information appeal in promoting green products/services. Green brand equity should also be developed in order to optimize green advertising effectiveness, especially in the context of collectivist customers.

This research is one of the first few studies investigating the mediating role of green satisfaction and green brand equity for collectivist consumer behaviors based on the health belief model (HBM).

The purpose of this paper is to investigate the impact of consumers' health beliefs, health involvement, and risk perception on fish consumption behaviour in five European countries.

Cross‐sectional data were collected through a pan‐European consumer survey (n=4,786) with samples representative for age and region in Belgium, The Netherlands, Denmark, Spain and Poland. First, the cross‐cultural validity and cross‐cultural differences in health beliefs, health involvement and risk perception in relation to fish have been tested. Next, structural equation modelling (LISREL) was used in order to simultaneously estimate the strength and direction of relationships between health beliefs, health involvement and risk perception in relation to fish consumption.

Health involvement links up indirectly with subjective health and with total fish consumption, in both cases through increased interest in healthy eating. Interest in healthy eating positively and directly influences fish consumption. Increased risk perception from fish consumption negatively influences consumers' subjective health, as well as consumers' total fish consumption. Finally, subjective health positively relates to satisfaction with life.

This study focused on fish as a product category, and included only a limited number of attitudinal constructs.

This paper provides a unique model relating health beliefs, health involvement and risk perception to fish consumption, which has been tested and validated using a large pan‐European consumer sample.

This paper aims to propose a framework model of belief consistency on the confirmatory bias theory, trying to explore the interactions between cues of credence-label structure and different controversial types of health foods, as well as the intermediary mechanism of belief consistency.

This paper presents a conceptual framework of belief consistency based on confirmation bias theory. The interactions between cues of credence-label structure and different controversial types of health foods, as well as the intermediary mechanism of belief consistency.

Consumers’ willingness to purchase varies under interactions between cues of credence-label structure (product-level and ingredient-level credence-label cues) and different controversial types of health foods (noncontroversial health foods and controversial health foods). In the consumption context of noncontroversial health foods, the presence of product-level credence-label cues causes confirmation bias, greater perception of health belief consistency and higher willingness to purchase healthy foods. In the consumption context of controversial health foods, the presence of ingredient-level credence-label cues results in the prevention of confirmation bias, lower perception of unhealthy belief consistency and higher willingness to purchase health foods.

This paper offers a significant tool for researchers to enrich relevant theories in the field of the conceptual framework of cues of credence-label structure. It also discusses practical implications for enterprise marketing and for the health and welfare of consumers.

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.

This research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).

The study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.

For hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.

The study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.