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In this chapter, we draw on health lifestyle, human capital, and health commodity theories to examine the effects of educational attainment on a wide range of individual dietary behaviors and dietary lifestyles.

Using data from the 2005-2006 iteration of the National Health and Nutrition Examination Survey (n = 2,135), we employ negative binomial regression and binary logistic regression to model three dietary lifestyle indices and thirteen healthy dietary behaviors.

We find that having a college degree or higher is associated with seven of the thirteen healthy dietary behaviors, including greater attention to nutrition information (general nutrition, serving size, calories, and total fat) and consumption of vegetables, protein, and dairy products. For the most part, education is unrelated to the inspection of cholesterol and sodium information and consumption of fruits/grains/sweets, and daily caloric intake. We observe that having a college degree is associated with healthier dietary lifestyles, the contemporaneous practice of multiple healthy dietary behaviors (label checking and eating behaviors). Remarkably, household income and the poverty-to-income ratio are unrelated to dietary lifestyles and have virtually no impact on the magnitude of the association between education and dietary lifestyles.

Our findings are consistent with predictions derived from health lifestyle and human capital theories. We find no support for health commodity theory, the idea that people who are advantaged in terms of education live healthier lifestyles because they tend to have the financial resources to purchase the elements of a healthy lifestyle.

The purpose of this paper was to develop a predictor model for an online nutrition course on sugar reduction. The proposed model is based on health knowledge, healthy behavior, social support, self-efficacy, attitude and the health belief model in relation to people’s behavior within a Facebook group. Subsequently, the model can be used to design a robust online training course for human resources, thereby reducing the training costs which managers have experienced as being expensive.

A single pre-post experimental group design was used. Pre and post data were collected from 100 Facebook users using an online questionnaire, within a three-week intervention.

The results show a significant difference between pre- and post-test scores of health knowledge and healthy behavior, indicating an effective intervention. In addition, perceived barriers, attitude, self-efficacy and emotional support were significant predictors of the healthy behavior model, predicting 70 percent of healthy behavior. However, knowledge had no significant relationship with any of the three dependent variables (self-efficacy, attitude and healthy behavior) proposed.

This model has proved to be an effective intervention which can be used in online training of human resources, because the content of the training is known from the predictor model, thereby greatly reducing the training cost, since everything is done online. Moreover, the provided model and predictors show that the content to be delivered in the training program is not knowledge but perceived barriers, attitude, self-efficacy and emotional support.

This study is one of the first to propose an integrative model that suggests attitude and self-efficacy as key predictors of healthy behavior whereas knowledge is not.

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.

Although the health information seeking behavior of consumers through the internet has received great attention, limited attempt has been made to integrate both the health information seeking behavior and the usage behavior in a mobile online context. The purpose of this paper is to explore the factors that influence consumer mobile health information seeking (MHIS) and usage behavior based on information quality, perceived value, personal health value, and trust.

A survey was conducted to collect data. A two-step approach of structure equation modeling based was used to test the measurement model and hypothesis model.

Information quality, perceived value, and trust were found to have positive effects on both the intention to seek and to use health information, and that the intention to seek affects the intention to use. Among the three components of perceived value, the utilitarian and epistemic values were found to have significant effects on intention to seek. In addition, the current health status of health consumers moderates the relationships between MHIS and usage intention and their determinants.

Studies have primarily focussed on online health information seeking behavior, whereas a few of these studies have examined the seeking behavior intention and the usage behavior intention in a general model. The results indicate that health information usage behavior intention is closely related to the seeking behavior intention in the mobile context, which enriches the research on the relationship between information seeking and its outcomes. Furthermore, this study highlights the impact of information quality, perceived value, and trust on the intention to seek, and the impacts of information quality and trust on the intention to use, which have been overlooked in previous studies on MHIS.

People spend a lot of time communicating with their co-workers each day; however, research has yet to explore how colleagues influence each other’s health behaviors. The purpose of this paper is to examine the association between health-related communication and health behaviors among co-workers in a workplace wellness program.

Participants (n=169) were recruited from a large south-western university and its local school district through e-mail announcements sent from a wellness administrator. Participants were part of a workplace wellness program that offers several daily group fitness classes, as well as cooking classes, and other educational programs for faculty and staff.

Structural equation modeling was used to examine the association between people’s perceived social influence and social support from co-workers, organizational socialization and their health behaviors. Results indicated that perceived social influence from co-workers had an indirect effect on people’s health behaviors through their perceived social support from their co-workers, as well as through their organizational socialization.

These variables were examined cross-sectionally, meaning that causal relationships and directionality cannot be determined in this study.

Co-worker communication and socialization appear to be important factors in understanding individuals’ health behaviors; thus, organizations that offer workplace wellness programs should provide opportunities for socialization and co-worker communication to facilitate employees’ healthy behaviors.

Although the authors only looked at one wellness program and did not examine these variables in programs of varying sizes and types, this study uniquely incorporates interpersonal and organizational communication perspectives in order to give new insight into co-workers’ health-related communication.

The health belief model (HBM) is the behavioral change theory most widely used in health behavior studies. Several studies have identified the limitations of this model, one of which concerns the validity in predicting behavioral changes. The purpose of this paper, scoping review, is to map the validity of HBM variables in predicting behavioral changes based on available synthesized evidences.

A scoping review was conducted using the Arksey and O’Malley’s framework. PubMed, Health Evidence, Cochrane Database of Systematic Reviews, ScienceDirect and Google Scholar were searched using a combination of keywords: health belief model, review, systematic review and meta-analysis between February 15 and March 18, 2016.

Of the 1,457 articles, 4 met the inclusion criteria. All results showed that HBM variables were consistently related to behaviors and the strength of the correlation were varied. Perceived barriers and perceived benefits were the strongest predictor, while perceived severity was the weakest. The association between HBM variables and behaviors was moderated by some aspects of behavioral outcomes, the study design and the time interval between measurement of the HBM variables and behavior.

Although the four main variables of HBM have been shown to be related to behavior, the overall outcomes are varied and have not demonstrated conclusive evidence during the last ten years. The results of this scoping review imply the need for a systematic review and meta-analysis of the results of recent studies. In addition, more longitudinal studies are needed to ensure the validity of HBM variables by considering any possible moderators.

The purpose of this paper is to identify and describe adolescents’ health-related behaviours from a socio-ecological perspective. Socio-ecological factors have been widely shown to be related to health behaviours (smoking, alcohol consumption, physical activity and diet) in adolescence and to affect health. The review integrates evidence with socio-ecological factors (social relationships, family, peers, schooling and environment).

The data were collected from electronic databases and by manual search consisting of articles (n=90) published during 2002-2014. The selected articles were analysed using inductive content analysis and narrative synthesis.

The findings suggest that there was a complex set of relations connected to adolescent health behaviours, also encompassing socio-ecological factors. The authors tentatively conclude that socio-ecological circumstances influence adolescents’ health-related behaviour, but that this review does not provide the full picture. There seemed to be certain key factors with a relation to behavioural outcomes that might increase health inequality among adolescents.

School health education is an important pathway for interventions to reduce unhealthy behaviours among adolescents including those related to socio-ecological factors.

Some socio-ecological factors were strongly related to health behaviours in adolescence, which may indicate an important pathway to current and future health. This paper may help schoolteachers, nurses and other school staff to understand the relationships between socio-ecological factors and health-related behaviours, which may be useful in developing health education to reduce health disparities during adolescence.

High dispositional optimism is often associated with people engaging in behaviour that has adverse effects on their health such as smoking. This study aims to investigate people’s intention to adopt preventive health behaviour by observing the effectiveness of anti-smoking ads during the ongoing coronavirus (COVID-19) pandemic.

Two studies have been carried out, first with a UK sample and second with the US sample. The studies examined the effectiveness of anti-smoking ad (appeal: high fear vs low fear), smoking behaviour elicited perception of vulnerability to COVID-19 and dispositional optimism on lowering people’s urge to smoke.

The study findings revealed a high fear appeal ad is more effective in lowering people’s urge to smoke. However, this association is significantly mediated by perception of vulnerability to COVID-19. Further, high dispositional optimism was found to moderate the effect of the anti-smoking ad on the perception of vulnerability to COVID-19, although a comparatively smaller effect was observed for the UK sample. Finally, high dispositional optimism significantly moderated the mediation of vulnerability to COVID-19 on lower urge to smoke only for the US sample.

The study highlights a need for a greater collaborative effort by the public, government, firms in the business of nicotine replacement solutions, socially responsible cigarette and tobacco manufacturing firms and health agencies that may lead to increased preventive health behaviour during the ongoing pandemic.

As the emotional/experiential aspect is still marginalized in the literature, this paper aims to explore the role of negative emotions associated with past experiences (PEs) in explaining the preventive health behavior (PHB) of the consumers with a chronic disease.

From the perspective of experiential marketing, a multi-method exploratory study was conducted among consumers with type 2 diabetes. The investigation process applied phenomenological interviews, visual projections and consumer diaries to adequately capture the emotional responses related to consumer experience of healthy diet behavior.

The results of a methodological triangulation show that the generation of negative emotions associated with PE with the PHB stimulates adopting healthy eating behavior rather than restraining it.

The multi-method protocol chosen for this experiential study is a response to the methodological requirements for a broader conception of consumer experience in the context of chronic diseases. This protocol can be used for further empirical investigation of emotional reactions experienced in consumer behavior in the broad sense.

Managerial implications are provided for health-care professionals on how to implement marketing strategies and practices based on the identified consumer profiles.

This study highlights the significant role of experienced emotional responses in explaining the adoption of the PHB and underlines that not all decisions are rational. It also contributes to the literature by specifying a mixed-method approach of data collection for deeper investigation of the consumer’s emotional responses to the health behavior experience.

This systematic literature review focusses on original research that examines the effect of persuasive architectural interventions on stimulating health behaviour. This paper gives an overview of the empirical evidence and aims to examine the evidence for health behaviour change through architectural interventions and the underlying theoretical pathways and mechanisms using social cognitive theory.

This paper reviewed 40 peer-reviewed articles found through Scopus, Google Scholar, Web of Science, PubMed and a supplementary hand search and examined for effect, type of interventions, type of behaviour and underlying mechanisms using social cognitive theory.

This review shows that architectural interventions can stimulate healthy behaviour. However, much of the research focusses on specific health behaviours (physical activity), in specific target groups (children or older adults) and with specific types of interventions (supplying provisions). Furthermore, the effect of the physical environment on cognitive factors should be taken into consideration.

Hardly any research on smart architectural interventions for health behaviour change exists, but combining insights from product design and built environment has the potential to impact designing for health behaviour change.

Stimulating certain types of health behaviour can positively contribute to health goals and has been the focus of many health promotion practitioners over the years. The focus of health promotion interventions has primarily been on social and psychological factors. However, current research shows the importance of the physical environment as an influence on health behaviour. Potentially, with the use of smart technology, this effect could be enhanced.