Heart Disease and Colon Cancer Prevention Beliefs and Their Association With Information Seeking and Scanning

Effects of Scanning Health News Headlines on Trust in Science: An Emotional Framing Perspective

Rooted in the emotions-as-frames model (EFM), this research examines how hope, fear, and annoyance are evoked through health news headline scanning, and how these emotions influence perceptions of news and medical science institutions as well as health behavioral intentions. A sample of U.S. adults (N = 327) were assigned to one of four headline framing conditions expected to associate with different emotions (positive future frame-hope; threat frame-fear/anxiety; reversal frame-annoyance; and control-neutral) and then asked about their emotional states, trust in science and news, and health-related behavioral intentions. Overall, health news headlines generated more hope than any other emotion across all conditions, and positive future-framed headlines evoked more hope than other framed headlines. Felt hope, in turn, generated greater trust in news and science, higher expectations of medical breakthroughs and cures, and greater intention to engage in preventative health behaviors. Felt anxiety had marginal positive benefits whereas felt annoyance negatively impacted the outcomes of interest. Notably, felt emotion mediated the headline frame-outcome relationships in the positive future/hope condition. These findings offer some support for the EFM and demonstrate that scanning headlines imbued with specific emotional frames can influence important health-related outcomes through the emotions they evoke. We discuss both the theoretical and practical implication of these findings.

Factors Impacting Chinese Older Adults' Intention to Prevent COVID-19 in the Post-COVID-19 Pandemic Era: Survey Study

BACKGROUND

Understanding the factors influencing individuals' health decisions is a dynamic research question. Particularly, after China announced the deregulation of the COVID-19 epidemic, health risks escalated rapidly. The convergence of "no longer controlled" viruses and the infodemic has created a distinctive social period during which multiple factors may have influenced people's decision-making. Among these factors, the precautionary intentions of older individuals, as a susceptible health group, deserve special attention.

OBJECTIVE

This study aims to examine the intention of older adults to engage in preventive behaviors and the influencing factors, including social, media, and individual factors, within the context of the postepidemic era. Drawing upon the structural influence model of communication, this study tests the potential mediating roles of 3 different types of media exposure between cognitive and structural social capital and protective behavior intention, as well as the moderating role of negative emotions between social capital and media exposure.

METHODS

In this study, a web survey was used to collect self-reported quantitative data on social capital, media exposure, negative emotions, and the intention to prevent COVID-19 among older adults aged ≥60 years (N=399) in China.

RESULTS

The results indicate that cognitive social capital significantly influenced protective behavior intention (P<.001), with cell phone exposure playing an additional impactful role (P<.001). By contrast, newspaper and radio exposure and television exposure mediated the influence of structural social capital on protective behavior intention (P<.001). Furthermore, negative emotions played a moderating role in the relationship between cognitive social capital and cell phone exposure (P<.001).

CONCLUSIONS

This study suggests that using tailored communication strategies across various media channels can effectively raise health awareness among older adults dealing with major pandemics in China, considering their diverse social capital characteristics and emotional states.

From Information Seeking and Scanning to the Practice of Healthy Habits: A Longitudinal Test of the Integrative Model of Behavioral Prediction in the Context of Fruit and Vegetable Consumption

Fruit and vegetable intake is essential for health, but global adherence to recommended levels remains insufficient. Health information exposure positively influences consumption, yet the underlying mechanisms are not fully understood. This study aims to explore the relationships between information seeking and scanning, attitudes, norms, perceived behavioral control (PBC), intentions, and fruit and vegetable intake, following the main tenets of the Integrative Model of Behavioral Prediction (IM). Data were collected through face-to-face surveys in Santiago, Chile, with a representative sample of individuals aged 25 and older in two waves. Findings revealed that intentions in Wave 1 predicted fruit and vegetable consumption in Wave 2, with positive associations between attitudes, norms, PBC, and intentions. Information seeking was positively associated with attitudes, norms, and PBC, and it had indirect effects on fruit and vegetable consumption through attitudes, norms, PBC, and intentions. Information scanning did not show significant indirect effects on fruit and vegetable consumption, even though the path between scanning and attitudes was significant. The study provides support for the IM and highlights the importance of information seeking in promoting fruit and vegetable consumption through its influence on attitudes, norms, and PBC. The findings have practical implications for health campaigns, educational programs, healthcare interactions, and public policies targeting healthier dietary habits.

Behavior patterns and influencing factors: Health information acquisition behavior of Chinese senior adults on WeChat

Due to the gradual adoption of WeChat by older adults in China and their interest in health information, Chinese older people started to acquire health information through WeChat. We explored the specific patterns and influencing factors of the elderly's health information acquisition behavior senior adults. The cross-sectional study collected self-reported data with survey (N = 336) in the southeast of China, Zhejiang province. The findings of this study extend the previous research by suggesting that elderly adults' health information acquisition behavior has three patterns (actively seeking, passively browsing, and long-term collecting). These findings contribute to a better understanding of digital literacy, three dimensions of health literacy and their relationship with three specific patterns of health acquisition behavior. This study also provides practical insights related to narrow the technological gap of the older adults, improve their e-Health literacy of the elderly, and purify the health information environment in the network.

Exploring direct and indirect predictors of heart disease information seeking

BACKGROUND

Based on the integrative model of behavioral prediction, we examined predictors of heart disease information seeking. We also examined demographic and individual factors associated with seeking-related perceived norms, attitudes, and perceived behavioral control.

METHODS

Non-Hispanic White and Black participants, aged 45 and older, completed a cross sectional online survey (N = 383). Stepwise logistic and multiple linear regression models were tested to assess study hypotheses, as well as tests of indirect effects.

RESULTS

Perceived norms, attitudes and perceived behavioral control were positively associated with heart disease information seeking, but when controlling for distal variables only the perceived norm-behavior association remained significant (p <.05). Indirect effects of distal variables (race, heart disease risk, perceived heart disease susceptibility and information engagement orientation) on information seeking were also detected via perceived norms.

CONCLUSIONS

Our results provide support for the integrative model as a framework for predicting information seeking, but further highlight the important role of distal predictors and perceived norms on heart disease seeking intentions. When communicating to promote heart disease information acquisition, communicators should pay particular attention to promoting information seeking as a normative behavior, particularly among those who perceive a lower risk of heart disease and who may be less engaged with health information more generally.

COVID-19 Vaccine-related Information Seeking and Scanning: A Test of Mediators between Information Acquisition and Vaccination Intention among Unvaccinated Black Americans

Health information seeking and scanning are two important information acquisition strategies that can influence subsequent health behaviors. This research was contextualized in COVID-19 vaccinations and examined the effects of information seeking and scanning on vaccination intention among unvaccinated Black Americans (N = 1,278). Moreover, this research conceptualized perceived risk and efficacy as the intervening factors for the relationship between information acquisition and behavioral intention. The results indicated that information seeking had a significant effect on vaccination intention, whereas information scanning had no effect. Perceived susceptibility and response efficacy mediated the relationship between information seeking and vaccination intention. The proposed mediators did not mediate the relationship between information scanning and vaccination intention. Theoretical and practical implications are offered.

Information Scanning Impacts Nonmedical Drug Use Among College Students: A Longitudinal Study of Scanning Effects

Health information that is acquired through information scanning has been shown to play an important role in shaping individual beliefs and health behavior. This study examines the direct and indirect effects of the breadth of scanning from media and interpersonal sources about two risk behaviors (nonmedical use of amphetamines and marijuana) on subsequent drug use behavior through changes to perceived norms. We test effects of scanning using a longitudinal online survey design with data collected at six-month intervals over three time points among 800 Israeli undergraduate students in their freshman year. Of the 800 respondents who participated in the first wave, 62.4% completed the second wave (N = 499), among which 347 (69.5%) completed a follow-up 6 months later. Results of cross-lagged structural equation models find that scanning information about amphetamines from interpersonal sources at 6 months predicted an increased likelihood of nonmedical use of amphetamines at 12-months. In addition, young adults who scanned information about marijuana from media sources at 6 months reported greater nonmedical marijuana use at 12 months. Breadth of scanning about marijuana from media sources mediated the relationship between perceived norms and marijuana use at 12 months. Results also showed indirect effects of scanning at baseline on nonmedical drug use at 12 months through scanning from the same source at 6 months. These findings contribute to our understanding of the role of information scanning and perceived norms in shaping substance use behaviors, and suggest that scanning may serve as a potential early indicator of risk.

Characteristics of the Measurement Tools for Assessing Health Information-Seeking Behaviors in Nationally Representative Surveys: Systematic Review

BACKGROUND

The coronavirus pandemic (COVID-19) has also emerged as an infodemic, thereby worsening the harm of the pandemic. This situation has highlighted the need for a deeply rooted understanding of the health information-seeking behaviors (HISBs) of people.

OBJECTIVE

The aim of this paper was to review and provide insight regarding methodologies and the construct of content in HISB surveys by answering the following research question: what are the characteristics of the measurement tools for assessing HISBs in nationally representative surveys around the world?

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses was used as the framework for this study. A data search was performed through 5 international and 2 Korean databases covering the years between 2008 and 2020. Initially, studies performed among nationally representative samples were included to discover HISB survey instruments. The methodologies of the studies using HISB surveys were analyzed. For content analysis, 2 researchers reached a consensus through discussion by scrutinizing the contents of each survey questionnaire.

RESULTS

A total of 13 survey tools from 8 countries were identified after a review of 2333 records from the search results. Five survey tools (Health Information National Trends Survey, Health Tracking Survey, Annenberg National Health Communication Survey, National Health Interview Survey, and Health Tracking Household Survey) from the United States, 2 instruments from Germany, and 1 tool from each of the countries of the European Union, France, Israel, Poland, South Korea, and Taiwan were identified. Telephone or web-based surveys were commonly used targeting the adult population (≥15 years of age). From the content analysis, the domains of the survey items were categorized as follows: information (information about health and patient medical records), channel (offline and online), and health (overall health, lifestyle, and cancer). All categories encompassed behavioral and attitude dimensions. A theoretical framework, that is, an information-channel-health structure for HISBs was proposed.

CONCLUSIONS

The results of our study can contribute to the development and implementation of the survey tools for HISB with integrated questionnaire items. This will help in understanding HISB trends in national health care.

Understanding Associations between Information Seeking and Scanning and Health Risk Behaviors: An Early Test of the Structural Influence Model

This study examined proposed direct and mediating relationships in the Structural Influence Model (SIM) of Communication within the chronic disease context. Using data from the Annenberg National Health Communication Survey (N = 14,472), we tested the potential mediating roles of information seeking, information scanning, and social capital between social determinants of health and four chronic disease risk behaviors: exercise level, fruit and vegetable intake, cigarette smoking, and excessive alcohol use. Information seeking, information scanning, and social capital received support as potential mediators. Our results are largely consistent with predictions of the SIM and highlight the important role of communication in reducing health risks and increasing healthy behaviors.

Predictors of perceived vulnerability to cancer diagnoses among adult Black males

As much as the significance of age, education, masculinity, illness attitude, and self-esteem to preventive health have been reported, much less is known on how these factors predict perceived vulnerability to cancer diagnosis. This study aimed to determine the association between identified demographic, health, and social factors and perceived vulnerability to cancer diagnosis among adult Black males. Data reveal that incidences of cancer among Black men are contingent upon a myriad of psychological, social, and behavioral factors that are not exclusive but rather coexisting determinants of health.

How Are Information Seeking, Scanning, and Processing Related to Beliefs About the Roles of Genetics and Behavior in Cancer Causation?

Understanding that cancer is caused by both genetic and behavioral risk factors is an important component of genomic literacy. However, a considerable percentage of people in the United States do not endorse such multifactorial beliefs. Using nationally representative cross-sectional data from the U.S. Health Information National Trends Survey (N = 2,529), we examined how information seeking, information scanning, and key information-processing characteristics were associated with endorsing a multifactorial model of cancer causation. Multifactorial beliefs about cancer were more common among respondents who engaged in cancer information scanning (p = .001), were motivated to process health information (p = .005), and reported a family history of cancer (p = .0002). Respondents who reported having previous negative information-seeking experiences had lower odds of endorsing multifactorial beliefs (p = .01). Multifactorial beliefs were not associated with cancer information seeking, trusting cancer information obtained from the Internet, trusting cancer information from a physician, self-efficacy for obtaining cancer information, numeracy, or being aware of direct-to-consumer genetic testing (ps > .05). Gaining additional understanding of how people access, process, and use health information will be critical for the continued development and dissemination of effective health communication interventions and for the further translation of genomics research to public health and clinical practice.