The impact of multiplex genetic testing on disease risk perceptions

Factors Influencing the Purchase Intention for Online Health Popular Science Information Based on the Health Belief Model

There is a growing demand for health popular science information from the public. Online paid health popular science information provides a new channel for the public to obtain health popular science information and can meet users' demands for high-quality health popular science information. In order to improve the popularity of online paid health popular science information, it is urgent to investigate the factors influencing users' intention to pay for online health popular science information. Paid online health popular science information can provide users with higher-quality health knowledge, while monetary compensation can incentivize publishers to create and promote the sustainability of social media platforms. Therefore, paid online health popular science information is important for readers, creators, and platforms. Therefore, this study investigates the factors influencing users' intentions to purchase online health popular science information based on the health belief model (HBM). Our research data were obtained by a questionnaire and empirically analyzed by SmartPLS structural equation modeling. The results of this study indicate that the greater the perceived susceptibility, severity, and irreplaceability of health problems, the greater the intention of users to purchase health information when they read the summary portion of paid online health popular science information. And the higher the perceived risk and the more unreasonable the price of the online health popular science information, the lower the intention to purchase. Moreover, both the perceived susceptibility and perceived severity significantly attenuated the negative impacts of perceived health popular science information risk and perceived price unreasonableness on users' intentions to purchase online health popular science information. This study not only enriches and extends the application of the health belief model, but also has important positive implications for the development of online paid health popular science information.

COVID-19, Genetics, and Risk: Content Analysis of Facebook Posts Early in the Coronavirus Pandemic

The COVID-19 pandemic represented a unique information seeking and sharing context for billions of Internet users across the globe. Although previous research has established that people often seek health information on the Internet, including through social media platforms, there was a political element to pandemic responses that is not typical of health issues such as seasonal influenza or heart conditions. This unique context, in conjunction with the public posting of the novel coronavirus DNA by Chinese scientists in January 2020, begs for analysis of how people used social media in the early phase of the pandemic to make sense of the role of genetics in COVID-19. This study represents such an analysis as a qualitative content analysis of Facebook posts concerning genetics and COVID-19. Data were collected from March through August of 2020 to identify how genetics issues were being shared on Facebook and the types of accounts that were sharing that information. Through analysis, four themes emerged representing Facebook posts about genetics and COVID-19: disease risk, testing, vaccines, and virus characteristics. These posts appeared on eight types of accounts, with five of those representing 88% of the data: education, health, lifestyle, news, and political. Results are interpreted with constructs from media dependency theory and implications for future research are presented.

Barriers and Facilitators for Population Genetic Screening in Healthy Populations: A Systematic Review

Studies suggest that 1-3% of the general population in the United States unknowingly carry a genetic risk factor for a common hereditary disease. Population genetic screening is the process of offering otherwise healthy patients in the general population testing for genomic variants that predispose them to diseases that are clinically actionable, meaning that they can be prevented or mitigated if they are detected early. Population genetic screening may significantly reduce morbidity and mortality from these diseases by informing risk-specific prevention or treatment strategies and facilitating appropriate participation in early detection. To better understand current barriers, facilitators, perceptions, and outcomes related to the implementation of population genetic screening, we conducted a systematic review and searched PubMed, Embase, and Scopus for articles published from date of database inception to May 2020. We included articles that 1) detailed the perspectives of participants in population genetic screening programs and 2) described the barriers, facilitators, perceptions, and outcomes related to population genetic screening programs among patients, healthcare providers, and the public. We excluded articles that 1) focused on direct-to-consumer or risk-based genetic testing and 2) were published before January 2000. Thirty articles met these criteria. Barriers and facilitators to population genetic screening were organized by the Social Ecological Model and further categorized by themes. We found that research in population genetic screening has focused on stakeholder attitudes with all included studies designed to elucidate individuals' perceptions. Additionally, inadequate knowledge and perceived limited clinical utility presented a barrier for healthcare provider uptake. There were very few studies that conducted long-term follow-up and evaluation of population genetic screening. Our findings suggest that these and other factors, such as prescreen counseling and education, may play a role in the adoption and implementation of population genetic screening. Future studies to investigate macro-level determinants, strategies to increase provider buy-in and knowledge, delivery models for prescreen counseling, and long-term outcomes of population genetic screening are needed for the effective design and implementation of such programs. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020198198.

COVID-19 state anxiety of older adults: effects of defensive information processes

BACKGROUND AND OBJECTIVES

To explore coping processes used by adults aged 60 and above (defined as high age-related risk group) in reaction to the COVID-19 threat, and the associations between these processes and state anxiety.

DESIGN AND METHODS

A cross-sectional study with 498 respondents of an online survey, 72 (15%) in the high age-related risk group. Questionnaires measured: background variables, state anxiety, and COVID-19 related perceptions.

RESULTS

The high age-related risk group perceived the coronavirus as more severe, their belongingness to a risk group as higher, and the behavioral recommendations as more effective compared to the low age-related risk group. The part of perceived vulnerability that is not explained by belonging to an age-related risk group (defined as residual perceived vulnerability) was lower in the high age-related risk group. Mediation analysis indicated that the high (compared to the low) age-related risk group had lower anxiety levels, and that this effect was mediated by lower residual perceived vulnerability and higher perceived disease severity levels.

CONCLUSIONS

The higher age-related risk group maintains a relatively moderate level of anxiety without denying their belonging to a high risk group. This can be explained by defensive processing of COVID-19 related information and by developmental processes.

Risk Perceptions After Receiving Multiple Risk Feedback

How do people respond to multiple risk feedback in a real-life context? Based on theoretical assumptions, three different predictions for risk perceptions were tested: (a) relative accuracy in risk perceptions, (b) self-defensive responses according to self-affirmation theory, and (c) compensatory responses according to the compensatory health belief model. Participants of a community health screening ( N = 725) received multiple risk indicator feedback for actual blood pressure, blood glucose, and blood lipid levels. Consistent multiple risk feedback profiles encompassed three consistent readings (three normal or three elevated readings). Mixed risk profiles included one elevated and two normal readings. Results indicate relative accuracy in responses: an elevated reading triggered higher risk perception of the respective risk factor. Importantly, the effect was not modulated by the presence of normal readings as assumed by the self-defensive or compensatory response perspective, indicating that people accurately integrate multiple risk indicator feedback as it is often provided in real life.

Outcomes of a Randomized Controlled Trial of Genomic Counseling for Patients Receiving Personalized and Actionable Complex Disease Reports

There has been very limited study of patients with chronic disease receiving potentially actionable genomic based results or the utilization of genetic counselors in the online result delivery process. We conducted a randomized controlled trial on 199 patients with chronic disease each receiving eight personalized and actionable complex disease reports online. Primary study aims were to assess the impact of in-person genomic counseling on 1) causal attribution of disease risk, 2) personal awareness of disease risk, and 3) perceived risk of developing a particular disease. Of 98 intervention arm participants (mean age = 57.8; 39% female) randomized for in-person genomic counseling, 76 (78%) were seen. In contrast, control arm participants (n = 101; mean age = 58.5; 54% female) were initially not offered genomic counseling as part of the study protocol but were able to access in-person genomic counseling, if they requested it, 3-months post viewing of at least one test report and post-completion of the study-specific follow-up survey. A total of 64 intervention arm and 59 control arm participants completed follow-up survey measures. We found that participants receiving in-person genomic counseling had enhanced objective understanding of the genetic variant risk contribution for multiple complex diseases. Genomic counseling was associated with lowered participant causal beliefs in genetic influence across all eight diseases, compared to control participants. Our findings also illustrate that for the majority of diseases under study, intervention arm participants believed they knew their genetic risk status better than control arm subjects. Disease risk was modified for the majority during genomic counseling, due to the assessment of more comprehensive family history. In conclusion, for patients receiving personalized and actionable genomic results through a web portal, genomic counseling enhanced their objective understanding of the genetic variant risk contribution to multiple common diseases. These results support the development of additional genomic counseling interventions to ensure a high level of patient comprehension and improve patient-centered health outcomes.

Family history and perceived risk of diabetes, cardiovascular disease, cancer, and depression

BACKGROUND

Family history is a useful and inexpensive tool to assess risks of multifactorial diseases. Family history enables individualized disease prevention, but its effects on perceived risks of various diseases need to be understood in more detail. We examined how family history relates to perceived risk of diabetes mellitus, cardiovascular disease (CVD), cancer, and depression, and whether these associations are independent of or moderated by sociodemographic factors, health behavior/weight status (smoking, alcohol consumption, physical activity, BMI [kg/m(2)]), or depressive symptoms.

METHODS

Participants were Finnish 25-74-year-olds (N=6258) from a population-based FINRISK 2007 study. Perceived absolute lifetime risks (Brewer et al., 2004; Becker, 1974; Weinstein and Nicolich, 1993; Guttmacher et al., 2004; Yoon et al., 2002) and first-degree family history of CVD, diabetes, cancer and depression, and health behaviors were self-reported. Weight and height were measured in a health examination.

RESULTS

Family history was most prevalent for cancer (36.7%), least for depression (19.6%). Perceived risk mean was highest for CVD (2.8), lowest for depression (2.0). Association between family history and perceived risk was strongest for diabetes (β=0.34, P<0.001), weakest for depression (β=0.19, P<0.001). Adjusting for sociodemographics, health behavior, and depressive symptoms did not change these associations. The association between family history and perceived risk tended to be stronger among younger than among older adults, but similar regardless of health behaviors or depressive symptoms.

DISCUSSION

Association between family history and perceived risk varies across diseases. People's current understandings on heritability need to be acknowledged in risk communication practices. Future research should seek to identify effective strategies to combine familial and genetic risk communication in disease prevention.