Injunctive social norms and perceived message tailoring are associated with health information seeking.

Social norms messages may promote information seeking, especially when the norms refer to a group with which a person identifies. We hypothesized that tailored social norms messages would increase COVID-19 testing willingness and intentions. College students (n = 203, 75% female, 87% White) were randomly assigned to one of four conditions in a 2 (Descriptive norms: Relevant vs. Irrelevant to COVID-19 testing) x 2 (Tailoring: Specific vs. General group information) experimental design. Participants reported COVID-19 testing willingness and intentions, perceived injunctive norms, and identification and connectedness with the group in the message. Although neither the norm nor tailoring manipulation worked as intended, participants who perceived greater message tailoring and injunctive norms reported greater willingness and intentions, with no effect of perceived descriptive norms on either outcome. Tailored messages as well as messages promoting injunctive norms may promote information seeking across health contexts, thereby enabling more informed decisions.

Attending to what's important: what heat maps may reveal about attention, inhibitory control, and fraction arithmetic performance.

Math proficiency is an important predictor of educational attainment and life success. However, developing mathematical competency is challenging, and some content (e.g., fractions) can be enigmatic. Numerous factors are suspected to influence math performance, including strategy knowledge, attention, and executive functions. In two online studies, we investigated the relationship between adults' fraction arithmetic performance, confidence judgments, inhibitory control (a component of executive functions), and attention to strategy-relevant fraction components. We explored the utility of heat maps (based on mouse clicks) to measure adults' attention to strategy-relevant fraction arithmetic components (operationalized according to each mathematical operation). In Study 1, attending to strategy-relevant fraction components was correlated with inhibitory control, but this finding did not replicate in Study 2. Across both studies, inhibitory control and attention to strategy-relevant fraction components were correlated with arithmetic accuracy. Intraindividual variability in participants' attention to strategy-relevant fraction components was also found. Our findings suggest that heat map questions may be a viable alternative to assess participants' attention during fraction tasks and that attention to specific fraction-arithmetic problem features is related to problem-solving accuracy.

Information Avoidance: Past Perspectives and Future Directions.

In the present age of unprecedented access to information, it is important to understand how and why people avoid information. Multiple definitions of "information avoidance" exist, and key aspects of these definitions deserve attention, such as distinguishing information avoidance from (lack of) information seeking, considering the intentionality and temporal nature of information avoidance, and considering the personal relevance of the information. In this review, we provide a cross-disciplinary historical account of theories and empirical research on information avoidance and seeking, drawing from research in multiple fields. We provide a framework of antecedents of information avoidance, categorized into beliefs about the information (e.g., risk perceptions), beliefs about oneself (e.g., coping resources), and social and situational factors (e.g., social norms), noting that constructs across categories overlap and are intertwined. We suggest that research is needed on both positive and negative consequences of information avoidance and on interventions to reduce information avoidance (when appropriate). Research is also needed to better understand temporal dynamics of information avoidance and how it manifests in everyday life. Finally, comprehensive theoretical models are needed that differentiate avoidance from seeking. Research on information avoidance is quickly expanding, and the topic will only grow in importance.

Motivations to learn genomic information are not exceptional: Lessons from behavioral science.

Whether to undergo genome sequencing in a clinical or research context is generally a voluntary choice. Individuals are often motivated to learn genomic information even when clinical utility-the possibility that the test could inform medical recommendations or health outcomes-is low or absent. Motivations to seek one's genomic information can be cognitive, affective, social, or mixed (e.g., cognitive and affective) in nature. These motivations are based on the perceived value of the information, specifically, its clinical utility and personal utility. We suggest that motivations to learn genomic information are no different from motivations to learn other types of personal information, including one's health status and disease risk. Here, we review behavioral science relevant to motivations that may drive engagement with genome sequencing, both in the presence of varying degrees of clinical utility and in the absence of clinical utility. Specifically, we elucidate 10 motivations that are expected to underlie decisions to undergo genome sequencing. Recognizing these motivations to learn genomic information will guide future research and ultimately help clinicians to facilitate informed decision making among individuals as genome sequencing becomes increasingly available.

Testing Explanations for Skepticism of Personalized Risk Information.

BACKGROUND: The promise of precision medicine could be stymied if people do not accept the legitimacy of personalized risk information. We tested 4 explanations for skepticism of personalized diabetes risk information. METHOD: We recruited participants (N = 356; Mage = 48.6 [s = 9.8], 85.1% women, 59.0% non-Hispanic white) from community locations (e.g., barbershops, churches) for a risk communication intervention. Participants received personalized information about their risk of developing diabetes and heart disease, stroke, colon cancer, and/or breast cancer (women). Then they completed survey items. We combined 2 items (recalled risk, perceived risk) to create a trichotomous risk skepticism variable (acceptance, overestimation, underestimation). Additional items assessed possible explanations for risk skepticism: 1) information evaluation skills (education, graph literacy, numeracy), 2) motivated reasoning (negative affect toward the information, spontaneous self-affirmation, information avoidance); 3) Bayesian updating (surprise), and 4) personal relevance (racial/ethnic identity). We used multinomial logistic regression for data analysis. RESULTS: Of the participants, 18% believed that their diabetes risk was lower than the information provided, 40% believed their risk was higher, and 42% accepted the information. Information evaluation skills were not supported as a risk skepticism explanation. Motivated reasoning received some support; higher diabetes risk and more negative affect toward the information were associated with risk underestimation, but spontaneous self-affirmation and information avoidance were not moderators. For Bayesian updating, more surprise was associated with overestimation. For personal relevance, belonging to a marginalized racial/ethnic group was associated with underestimation. CONCLUSION: There are likely multiple cognitive, affective, and motivational explanations for risk skepticism. Understanding these explanations and developing interventions that address them will increase the effectiveness of precision medicine and facilitate its widespread implementation.

Emotional complexity under high stress: Do protective associations for risk behaviors persist even during a pandemic?

Risk behaviors like substance use and binge eating are often used to cope with negative emotions. Engagement in these behaviors has been exacerbated by the COVID-19 pandemic. Past research suggests that complex emotion conceptualizations captured as emotion differentiation (ability to discriminate between emotional states) and polarity (ability to integrate positive and negative features of emotional experience) may be protective. We examined associations of mean affect intensity, emotion differentiation, and emotion polarity with frequency of daily substance use and binge eating across 10 days in a demographically diverse sample of U.S. adults (N = 353) recruited between March 24 and April 9, 2020, when stay-at-home orders were initiated. Owing to the nested data structure and excessive zero values, analyses were conducted using multilevel zero-inflated negative binomial regression. Consistent with past research, negative affect was positively associated with frequency of substance use and binge eating. Importantly, results indicated that negative emotion differentiation was protective, predicting greater likelihood of not using substances and binge eating at all across the sampling period. These effects remained even after controlling for mean affect intensity, emotion polarity, and positive emotion differentiation. Neither positive emotion differentiation nor emotion polarity were significantly associated with either behavior. Our results suggest that greater complexity in conceptualization of negative emotions facilitates some protection against risk behaviors such as substance use and binge eating, even during periods of high environmental stress. These findings have important implications for optimizing interventions to reduce engagement in risk behaviors. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Effects of Construal Level on Responses to Ambiguous Health Information about Alcohol Consumption.

Information about the health effects of alcohol consumption can be ambiguous (i.e., lacking in reliability, credibility, or adequacy) and thus may promote maladaptive health behavior. Guided by Construal Level Theory and a conceptual taxonomy of uncertainty in health care, we tested the hypothesis that manipulating construal level would promote adaptive responses to ambiguous health information. We examined the effects of ambiguous health information about alcohol on health cognitions, message responses, and intentions, as well as whether manipulating construal moderated these effects. Alcohol users (n = 135, Mage = 20.15, 68.9% female) were randomly assigned to either a high-level or low-level construal task and then to read either an ambiguous or unambiguous health communication about the health effects of alcohol. Participants responded similarly to ambiguous health information as they did to unambiguous health information and participants in a high-level construal did not generally report differences compared with those in a low-level construal. Findings suggest that ambiguous health information might not always lead to maladaptive effects. More research is needed to examine moderators of the relationship between ambiguous health information and health outcomes, as well as to understand how and when using construal manipulations are effective in different health contexts.

Leveraging Math Cognition to Combat Health Innumeracy.

Rational numbers (i.e., fractions, percentages, decimals, and whole-number frequencies) are notoriously difficult mathematical constructs. Yet correctly interpreting rational numbers is imperative for understanding health statistics, such as gauging the likelihood of side effects from a medication. Several pernicious biases affect health decision-making involving rational numbers. In our novel developmental framework, the natural-number bias-a tendency to misapply knowledge about natural numbers to all numbers-is the mechanism underlying other biases that shape health decision-making. Natural-number bias occurs when people automatically process natural-number magnitudes and disregard ratio magnitudes. Math-cognition researchers have identified individual differences and environmental factors underlying natural-number bias and devised ways to teach people how to avoid these biases. Although effective interventions from other areas of research can help adults evaluate numerical health information, they circumvent the core issue: people's penchant to automatically process natural-number magnitudes and disregard ratio magnitudes. We describe the origins of natural-number bias and how researchers may harness the bias to improve rational-number understanding and ameliorate innumeracy in real-world contexts, including health. We recommend modifications to formal math education to help children learn the connections among natural and rational numbers. We also call on researchers to consider individual differences people bring to health decision-making contexts and how measures from math cognition might identify those who would benefit most from support when interpreting health statistics. Investigating innumeracy with an interdisciplinary lens could advance understanding of innumeracy in theoretically meaningful and practical ways.

Experimental tests of hypothetical lottery incentives on unvaccinated adults' COVID-19 vaccination intentions.

OBJECTIVE: In May 2021, U.S. states began implementing "vaccination lotteries" encouraging COVID-19 vaccination. Drawing from Prospect Theory and math cognition research, we tested several monetary lottery structures and their framing to determine which would best motivate unvaccinated adults. METHOD: In two online experiments, U.S. adults were asked to imagine that their state implemented a vaccination lottery. In Experiment 1, participants (N = 589) were randomly assigned to 1 of 12 conditions varying the monetary amount and number of winners, holding constant a $5 million total payout. In Experiment 2, participants (N = 274) were randomly assigned to one of four conditions in a 2 (Message Framing: Gain versus Loss) by 2 (Numeric Framing: Big versus Small) factorial design; in all conditions, five people would each win $1 million. Participants rated their baseline vaccination willingness (1 = not at all to 4 = very) and postmanipulation COVID-19 vaccination intentions "if their state offered this incentive" (0 = definitely would not to 100 = definitely would). RESULTS: Intentions did not differ across conditions (Experiment 1: F[11, 561] = 1.29, p = .224, ηp² = .03; Experiment 2: Message Framing, F[1, 266)] = .01, p = .940, ηp² = .000; Numeric Framing, F[1, 266] = 1.40, p = .237, ηp² = .01; Interaction, F[1, 266] = 1.40, p = .238, ηp² = .01). When participants were shown a list of 12 lottery structures and asked which they preferred, participants on average preferred options that awarded less money to more people. However, 41.9% of participants across both experiments indicated they would not vaccinate for any lottery-based monetary incentive. CONCLUSIONS: Multiple lottery structures could be equally (un)motivating for unvaccinated adults. Structures that distribute incentives across more people or alternative public health strategies should be considered. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Uncertainty in healthcare and health decision making: Five methodological and conceptual research recommendations from an interdisciplinary team.

Uncertainty is prevalent in various health contexts. It is imperative to understand how health-related uncertainty can impact individuals' healthcare experiences and health decision making. The purpose of the present paper is to provide five overarching recommendations from an interdisciplinary team of experts to address gaps in the literature on health-related uncertainty. We present a case study of health-related uncertainty within the specific context of alcohol use to demonstrate these gaps and provide context for the recommendations. The five recommendations concerning health-related uncertainty include: (1) use common, consistent terminology to discuss uncertainty, (2) clarify measures of individual differences in response to uncertainty, (3) increase research on uncertainty and affect, (4) investigate the impact of the channel through which uncertainty is communicated, and (5) develop theory-driven interventions to improve uncertainty management. We conclude by reviewing health contexts in which health-related uncertainty exists and note how our recommendations complement existing reviews and data.

Number lines can be more effective at facilitating adults' performance on health-related ratio problems than risk ladders and icon arrays.

Visual displays, such as icon arrays and risk ladders, are often used to communicate numerical health information. Number lines improve reasoning with rational numbers but are seldom used in health contexts. College students solved ratio problems related to COVID-19 (e.g., number of deaths and number of cases) in one of four randomly assigned conditions: icon arrays, risk ladders, number lines, or no accompanying visual display. As predicted, number lines facilitated performance on these problems-the number line condition outperformed the other visual display conditions, which did not perform any better than the no visual display condition. In addition, higher performance on the health-related ratio problems was associated with higher COVID-19 worry for oneself and others, higher perceptions of COVID-19 severity, and higher endorsement of intentions to engage in preventive health behaviors, even when controlling for baseline math skills. These findings have important implications for effectively presenting health statistics. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Self-care behaviors and affect during the early stages of the COVID-19 pandemic.

OBJECTIVE: Self-care behaviors aimed at maintaining physical and mental health are often recommended during stressful contexts. We tested emotional predictors of self-care behaviors (healthy eating, exercise, engaging in a hobby, relaxation/meditation, time spent with a supportive person, talking online with friends/family) during the COVID-19 pandemic and their emotional consequences. We hypothesized a reciprocal within-person process whereby positive affect increases self-care behaviors (Hypothesis 1) and self-care behaviors increase positive affect while decreasing negative affect (Hypothesis 2). METHOD: A 10-day daily diary was completed by 289 adult participants in the United States during spring 2020 when counties in 40 out of 50 states had some form of stay-at-home orders. RESULTS: Lagged analyses for Hypothesis 1 suggested that positive affect did not significantly predict residualized change in self-care behaviors; however, more intense negative affect predicted increased self-care behaviors from one day to the next. Concurrent analyses for Hypothesis 2 indicated most self-care behaviors were associated with more positive affect and some with less negative affect on the same day. Lagged analyses for Hypothesis 2 indicated that self-care behaviors largely did not predict residualized change in positive or negative affect from one day to the next. At the between-person level, people who experienced more positive affect engaged in more self-care behaviors across the sampling period. CONCLUSION: Self-care behaviors continue to have mental health benefits during stressful environments such as the COVID-19 pandemic and stay-at-home orders. Negative affect can play an adaptive role during times of stress by facilitating self-care. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Field experiment of signs promoting hand hygiene during the COVID-19 pandemic.

OBJECTIVE: During the COVID-19 pandemic, the U.S. public was encouraged to practice good hand hygiene, such as hand washing or the use of hand sanitizer. Young adults reported lower levels of hand hygiene compared to adults of other ages. The aim of the current study was to test the effectiveness of different messages to promote hand sanitizer use among young adults. METHOD: Over a 6-week period, we examined whether 3 brief messages (gain-frame, static descriptive norms, dynamic descriptive norms), placed next to sanitizer dispensers in university residence halls, predicted dispenser use in comparison to dispensers with no sign. Amount of sanitizer usage was measured 3 times per week via the weight of dispenser units. We tracked and controlled for the number of positive COVID-19 cases in residence halls because we expected it might influence sanitizer usage. RESULTS: Compared to no signage, dispensers with signs had 35% greater usage, with the static descriptive norms sign associated with greatest usage (46% compared to no sign), although differences did not reach conventional levels of significance. The strongest predictor of sanitizer use was a residence hall's degree of COVID-19 risk based on the hall's case positivity. CONCLUSIONS: Dispensers with signs had higher use than those without signs, but this difference was not statistically significant. We conclude that compared to prior research, "nudges" such as evidence-based messaging may have had less of an effect on health behavior engagement due to methodological differences across studies or characteristics of the COVID-19 context. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Confidence in COVID problem solving: What factors predict adults' item-level metacognitive judgments on health-related math problems before and after an educational intervention?

The advent of COVID-19 highlighted widespread misconceptions regarding people's accuracy in interpreting quantitative health information. How do people judge whether they accurately answered health-related math problems? Which individual differences predict these item-by-item metacognitive monitoring judgments? How does a brief intervention targeting math skills-which increased problem-solving accuracy-affect people's monitoring judgments? We investigated these pre-registered questions in a secondary analysis of data from a large Qualtrics panel of adults (N = 1,297). Pretest performance accuracy, math self-efficacy, gender, and math anxiety were associated with pretest item-level monitoring judgments. Participants randomly assigned to the intervention condition, relative to the control condition, made higher monitoring judgments post intervention. That is, these participants believed they were more accurate when answering problems. Regardless of experimental condition, those who actually were correct on health-related math problems made higher monitoring judgments than those who answered incorrectly. Finally, consistent with prior research, math anxiety explained additional variance in monitoring judgments beyond trait anxiety. Together, findings indicated the importance of considering both objective (e.g., problem accuracy) and subjective factors (e.g., math self-efficacy, math anxiety) to better understand adults' metacognitive monitoring. Supplementary Information: The online version contains supplementary material available at 10.1007/s11409-022-09300-3.

Psychological Impact of Ambiguous Health Messages about COVID-19.

Perceiving ambiguity in health information-that is, uncertainty elicited from believing information lacks credibility, reliability, or adequacy-is typically associated with pessimistic appraisals (e.g., high perceived disease risk) and behavioral avoidance. We examined the effect of ambiguous health information about COVID-19 on health cognitions and vaccination intentions, and tested a "normalized-uncertainty" intervention. Two studies with identical methodology (online adult sample: n = 299, undergraduate sample: n = 150) were conducted in March to April 2020. Participants were randomly assigned to read one of three health messages about COVID-19 that emphasized what was currently unknown (ambiguity condition), what was currently unknown but that scientific uncertainty is expected (intervention condition), or what was currently known (control condition). The ambiguity condition led to greater perceived ambiguity than the control condition and perceived ambiguity in the intervention condition was comparable to the ambiguity condition. There were few differences in health cognitions, and no differences in vaccination intentions, when examining pairwise comparisons across the three conditions. Correlational analyses collapsing across condition indicated evidence of pessimistic appraisal but not behavioral avoidance among individuals who perceived greater ambiguity. Future research should examine longer, more detailed normalized-uncertainty interventions.

Information Avoidance, Self-affirmation, and Intentions to Receive Genomic Sequencing Results Among Members of an African Descent Cohort.

BACKGROUND: Information avoidance tendencies have been found to be associated with lower intentions to pursue medically actionable genomic sequencing results, but less so among individuals who engage more in spontaneous self-affirmation. Yet these results were obtained with a largely non-Hispanic White, high-SES cohort. PURPOSE: To assess these variables, their magnitude, and their associations in an African-descent cohort as part of the same ClinSeq® exome sequencing program. METHODS: Participants reported levels of spontaneous self-affirmation, information avoidance, and intentions to receive three types of results - medically actionable, non-medically actionable, and carrier status as part of a baseline survey. RESULTS: Relative to the original, non-Hispanic White cohort, those in the African-descent cohort had higher levels of spontaneous self-affirmation and lower intentions of learning about carrier genomic results; they reported comparable levels of information avoidance and intentions to receive other results. Information avoidance was negatively associated with intention to receive non-actionable results in the African-descent cohort, as found in the initial cohort, with no moderating effect of spontaneous self-affirmation. Information avoidance, spontaneous self-affirmation, and their interaction were not associated with intentions to receive actionable results (contrary to findings in the initial cohort), or carrier results. CONCLUSIONS: Individuals of African descent may engage in relatively more spontaneous self-affirmation, and do not appear to engage in more information avoidance. Their information avoidance tendencies were associated with pursuit of non-actionable sequencing results, with no moderating effect of self-affirmation, and were not associated with pursuit of actionable results or carrier results.

What Drives Preventive Health Behavior During a Global Pandemic? Emotion and Worry.

BACKGROUND & PURPOSE: Primary prevention of COVID-19 has focused on encouraging compliance with specific behaviors that restrict contagion. This investigation sought to characterize engagement in these behaviors in U.S. adults early during the pandemic and to build explanatory models of the psychological processes that drive them. METHODS: US adults were recruited through Qualtrics Research Panels (N = 324; 55% female; Mage = 50.91, SD = 15.98) and completed 10 days of online reports of emotion, COVID-19 perceived susceptibility and worry, and recommended behaviors (social distancing, hand washing, etc.). Factor analysis revealed behaviors loaded on two factors suggesting distinct motivational orientations: approach and avoidance. RESULTS: Changes in approach and avoidance behaviors over the 10 days indicated large individual differences consistent with three types of participants. Discrete emotions, including fear, guilt/shame, and happiness were associated with more recommended behaviors. Fear and COVID-19 worry indirectly influenced each other to facilitate more behavioral engagement. While emotions and worry strongly predicted individual differences in behavior across the 10 days, they did not predict as well why behaviors occurred on one day versus another. CONCLUSIONS: These findings suggest how daily affective processes motivate behavior, improving the understanding of compliance and efforts to target behaviors as primary prevention of disease.

Dyadic concordance and associations of beliefs with intentions to learn carrier results from genomic sequencing.

Although romantic couple concordance has been demonstrated across a wide array of health behaviors, little research has examined dyadic concordance in health beliefs. This study examined the extent to which cohabitating romantic dyads' attitudes and beliefs coincide (i.e., dyadic concordance) in addition to how well they predict intentions to learn genomic sequencing results. The actor-partner interdependence model was applied to cross-sectional data from 81 dyads in an exome sequencing study who were surveyed about their risk perceptions, worry, information avoidance, attitudes, and intentions toward learning carrier results. Information avoidance tendencies were positively correlated between partners, but there was low concordance on other beliefs. Individuals' attitudes and information avoidance predicted their own intentions to learn results. Additionally, partners' information avoidance tendencies predicted their partner's intentions to learn results. Future research should explore mechanisms through which one's partner's information avoidance may affect one's own intentions and behaviors.

Association of Spontaneous and Induced Self-Affirmation With Smoking Cessation in Users of a Mobile App: Randomized Controlled Trial.

BACKGROUND: Most smokers attempt to stop using cigarettes numerous times before successfully quitting. Cigarette cravings may undermine perceived competence to quit and thus constitute psychological threats to the individual's self-concept. Self-affirmation may promote smoking cessation by offsetting these threats. OBJECTIVE: This study examines whether self-affirmation is associated with smoking cessation in the context of a cessation app. Two types of self-affirmation are examined: tendency to spontaneously self-affirm, and self-affirmation inductions added to a publicly available smoking cessation app (Smoke-Free Quit Smoking Now). In addition, this study explores whether optimism and emotional states (happiness, anger, anxiousness, hopefulness, sadness) predict smoking cessation. METHODS: All users who met the inclusion criteria, provided consent to participate, and completed a baseline assessment, including all individual difference measures, were randomized to 1 of 4 conditions. Half of the participants were randomly assigned to complete a self-affirmation induction upon study entry. Orthogonally, half of the participants were randomly assigned to receive self-affirming text notifications during their quit attempt or to receive conventional notifications. The induction and the text notifications were fully automated, and all data were collected through self-assessments in the app. Self-reported smoking cessation was assessed 1 month and 3 months following study entry. RESULTS: The study enrolled 7899 participants; 647 completed the 1-month follow-up. Using an intent-to-treat analysis at the 1-month follow-up, 7.2% (569/7899) of participants self-reported not smoking in the previous week and 6.4% (503/7899) self-reported not smoking in the previous month. Greater tendency to spontaneously self-affirm predicted a greater likelihood of cessation (P<.001) at 1 month after controlling for smoking-related variables. Neither self-affirmation induction influenced cessation. In addition, spontaneous self-affirmation did not moderate the relationship between self-affirmation inductions and cessation. Greater baseline sadness was associated with a lower likelihood of reporting successful cessation. Optimism predicted past-week cessation at the 1-month follow-up, and both happiness and anger predicted past-month cessation at the 1-month follow-up; however, none of these potential predictors moderated the relationship between self-affirmation conditions and successful cessation. CONCLUSIONS: Spontaneous self-affirmation may be an important psychological resource for managing threats to self-concept during the smoking cessation process. Sadness may hinder quit attempts. Future research can explicate how spontaneous versus induced self-affirmation can promote smoking cessation and examine boundary conditions for the effectiveness of disseminated self-affirmation interventions. TRIAL REGISTRATION: ISRCTN Registry 56646695; https://www.isrctn.com/ISRCTN56646695.

Adherence of Internet-Based Cancer Risk Assessment Tools to Best Practices in Risk Communication: Content Analysis.

BACKGROUND: Internet-based risk assessment tools offer a potential avenue for people to learn about their cancer risk and adopt risk-reducing behaviors. However, little is known about whether internet-based risk assessment tools adhere to scientific evidence for what constitutes good risk communication strategies. Furthermore, their quality may vary from a user experience perspective. OBJECTIVE: This study aims to understand the extent to which current best practices in risk communication have been applied to internet-based cancer risk assessment tools. METHODS: We conducted a search on August 6, 2019, to identify websites that provided personalized assessments of cancer risk or the likelihood of developing cancer. Each website (N=39) was coded according to standardized criteria and focused on 3 categories: general website characteristics, accessibility and credibility, and risk communication formats and strategies. RESULTS: Some best practices in risk communication were more frequently adhered to by websites. First, we found that undefined medical terminology was widespread, impeding comprehension for those with limited health literacy. For example, 90% (35/39) of websites included technical language that the general public may find difficult to understand, yet only 23% (9/39) indicated that medical professionals were their intended audience. Second, websites lacked sufficient information for users to determine the credibility of the risk assessment, making it difficult to judge the scientific validity of their risk. For instance, only 59% (23/39) of websites referenced the scientific model used to calculate the user's cancer risk. Third, practices known to foster unbiased risk comprehension, such as adding qualitative labels to quantitative numbers, were used by only 15% (6/39) of websites. CONCLUSIONS: Limitations in risk communication strategies used by internet-based cancer risk assessment tools were common. By observing best practices, these tools could limit confusion and cultivate understanding to help people make informed decisions and motivate people to engage in risk-reducing behaviors.