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Palliative care aims to improve quality of life for people with serious illness and their families. One potential barrier to palliative care uptake is inaccurate knowledge and/or negative beliefs among the general population, which may inhibit early interest in, communication about, and integration of palliative care following subsequent illness diagnosis. We explored knowledge and beliefs about palliative care among the general public using nationally-representative data collected in 2018 as part of the cross-sectional Health Information National Trends Survey. Only individuals who had heard of palliative care (n = 1,162, Mage = 51.8, 64% female) were queried on knowledge and beliefs. We examined whether self-assessed level of awareness of palliative care (i.e., knowing a little vs. enough to explain it) was associated with the relative likelihood of having accurate/positive beliefs, inaccurate/negative beliefs, or responding \"don't know\" to questions about palliative care. Respondents who indicated knowing a lot about palliative care had more accurate versus inaccurate knowledge than those who knew a little on only two of six items and more positive attitudes on only one of three items. In particular, respondents with greater awareness were equally likely to report that palliative care is the same as hospice and requires stopping other treatments, and equally likely to believe that palliative care means giving up and to associate palliative care with death. Those with higher awareness were less likely than those with lower awareness to respond \"don't know,\" but greater awareness was not necessarily associated with having accurate or positive beliefs about palliative care as opposed to inaccurate or negative beliefs. Thus, even members of the general public who perceived themselves to know a lot about palliative care were often no less likely to report inaccurate knowledge or negative beliefs (versus accurate and positive, respectively). Findings suggest a need to improve awareness and attitudes about palliative care.

Background Although risk perception is a key predictor in health behavior theories, current conceptions of risk comprise only one (deliberative) or two (deliberative vs. affective/experiential) dimensions. Purpose This research tested a tripartite model that distinguishes among deliberative, affective, and experiential components of risk perception. Method In two studies, and in relation to three common diseases (cancer, heart disease, diabetes), we used confirmatory factor analyses to examine the factor structure of the tripartite risk perception (TRIRISK) model and compared the fit of the TRIRISK model to dual-factor and single-factor models. In a third study, we assessed concurrent validity by examining the impact of cancer diagnosis on (a) levels of deliberative, affective, and experiential risk perception, and (b) the strength of relations among risk components, and tested predictive validity by assessing relations with behavioral intentions to prevent cancer. Results The tripartite factor structure was supported, producing better model fit across diseases (studies 1 and 2). Inter-correlations among the components were significantly smaller among participants who had been diagnosed with cancer, suggesting that affected populations make finer-grained distinctions among risk perceptions (study 3). Moreover, all three risk perception components predicted unique variance in intentions to engage in preventive behavior (study 3). Conclusions The TRIRISK model offers both a novel conceptualization of health-related risk perceptions, and new measures that enhance predictive validity beyond that engendered by unidimensional and bidimensional models. The present findings have implications for the ways in which risk perceptions are targeted in health behavior change interventions, health communications, and decision aids.

Although risk perception is a key concept in many health behavior theories, little research has explicitly tested when risk perception predicts motivation to take protective action against a health threat (protection motivation). The present study tackled this question by (a) adopting a multidimensional model of risk perception that comprises deliberative, affective, and experiential components (the TRIRISK model), and (b) taking a person-by-situation approach. We leveraged a highly intensive within-subjects paradigm to test features of the health threat (i.e., perceived severity) and individual differences (e.g., emotion reappraisal) as moderators of the relationship between the three types of risk perception and protection motivation in a within-subjects design. Multi-level modeling of 2968 observations (32 health threats across 94 participants) showed interactions among the TRIRISK components and moderation both by person-level and situational factors. For instance, affective risk perception better predicted protection motivation when deliberative risk perception was high, when the threat was less severe, and among participants who engage less in emotional reappraisal. These findings support the TRIRISK model and offer new insights into when risk perceptions predict protection motivation.

The purpose of this meta-analysis was to examine the efficacy of exercise to reduce depressive symptoms among cancer survivors. In addition, we examined the extent to which exercise dose and clinical characteristics of cancer survivors influence the relationship between exercise and reductions in depressive symptoms. We conducted a systematic search identifying randomized controlled trials of exercise interventions among adult cancer survivors, examining depressive symptoms as an outcome. We calculated effect sizes for each study and performed weighted multiple regression moderator analysis. We identified 40 exercise interventions including 2,929 cancer survivors. Diverse groups of cancer survivors were examined in seven exercise interventions; breast cancer survivors were examined in 26; prostate cancer, leukemia, and lymphoma were examined in two; and colorectal cancer in one. Cancer survivors who completed an exercise intervention reduced depression more than controls, d(+) = -0.13 (95% CI: -0.26, -0.01). Increases in weekly volume of aerobic exercise reduced depressive symptoms in dose-response fashion (β = -0.24, p = 0.03), a pattern evident only in higher quality trials. Exercise reduced depressive symptoms most when exercise sessions were supervised (β = -0.26, p = 0.01) and when cancer survivors were between 47-62 yr (β = 0.27, p = 0.01). Exercise training provides a small overall reduction in depressive symptoms among cancer survivors but one that increased in dose-response fashion with weekly volume of aerobic exercise in high quality trials. Depressive symptoms were reduced to the greatest degree among breast cancer survivors, among cancer survivors aged between 47-62 yr, or when exercise sessions were supervised.

Risk perception refers to how individuals interpret their susceptibility to threats, and has been hypothesised as an important predictor of intentions and behaviour in many theories of health behaviour change. However, its components, optimal measurement, and effects are not yet fully understood. The TRIRISK model, developed in the US, conceptualises risk perception as deliberative, affective and experiential components. In this study, we aimed to assess the replicability of the TRIRISK model in a UK sample by confirmatory factor analysis (CFA), explore the inherent factor structure of risk perception in the UK sample by exploratory factor analysis (EFA), and assess the associations of EFA-based factors with intentions to change behaviour and subsequent behaviour change. Data were derived from an online randomised controlled trial assessing cancer risk perception using the TRIRISK instrument and intention and lifestyle measures before and after communication of cancer risk. In the CFA analysis, the TRIRISK model of risk perception did not provide a good fit for the UK data. A revised model developed using EFA consisted of two separate “numerical” and “self-reflective” factors of deliberative risk perception, and a third factor combining affective with a subset of experiential items. This model provided a better fit to the data when cross-validated. Using multivariable regression analysis, we found that the self-reflective and affective-experiential factors of the model identified in this study were reliable predictors of intentions to prevent cancer. There were no associations of any of the risk perception factors with behaviour change. This study confirms that risk perception is clearly a multidimensional construct, having identified self-reflective risk perception as a new distinct component with predictive validity for intention. Furthermore, we highlight the practical implications of our findings for the design of interventions incorporating risk perception aimed at behaviour change in the context of cancer prevention.

Background Exercise improves quality of life (QOL) in cancer survivors, although characteristics of efficacious exercise interventions for this population have not been identified. Purpose The present meta-analysis examines the efficacy of exercise interventions in improving QOL in cancer survivors, as well as features that may moderate such effects. Method Studies were identified and coded, and QOL effect sizes were calculated and analyzed for trends. Results Overall, exercise interventions increased QOL, but this tendency depended to some extent on exercise and patient features. Although several features were associated with effect sizes, models revealed that interventions were particularly successful if they targeted more intense aerobic exercise and addressed women. These tendencies emerged over longer periods of time and were more prominent in studies with higher methodological quality. Conclusion Appropriately designed exercise interventions enhance QOL for cancer survivors and this pattern is especially evident for women. Limitations are discussed.

Background This study examined whether message reactance mediates the cognitive effects of messages about the causal relationship between alcohol and cancer. Methods We randomly assigned US adults ( N  = 799) recruited from a commercial online research panel to receive one of two types of messages about the alcohol-cancer link: (1) high-certainty (e.g., “Drinking alcohol causes cancer”), and (2) low-certainty, employing the modal verb “may” (e.g., “Drinking alcohol may cause cancer”). We evaluated whether message reactance mediated the effects of message certainty vs. uncertainty on (1) perceived causal certainty about the alcohol-cancer link, and (2) perceived alcohol-related cancer risk. We also explored whether heavy vs. non-heavy alcohol consumption moderated these effects. Results Message reactance mediated the effects of high-certainty (vs. low) messages on perceived causal certainty (direct: b =0.54; indirect: b =-0.11; both p s<0.001) and alcohol-related cancer risk (direct: b =0.37; indirect: b =-0.13; both p s<0.001)—suppressing the positive effects of expressed certainty on both outcomes. The suppressive effects of message reactance on perceived causal certainty were stronger for participants reporting heavy ( b =-0.50) vs. non-heavy alcohol consumption ( b =-0.35; p =.034). Conditional indirect effects for the perceived causal certainty model only remained significant for participants with non-heavy alcohol consumption ( b =-0.10; p =.004). Conclusions Effects of high-certainty (vs. low) messages were negatively mediated by message reactance and moderated by alcohol consumption. Findings suggest that although high-certainty risk messages may increase cancer risk perceptions, their effect is attenuated by inciting negative reactance to the messages, particularly for those who consume a heavy amount of alcohol. These mixed effects should be considered in future messaging initiatives aimed at communicating the alcohol-cancer relationship to the public.

Background Medical information is often conflicting and consequently perceived as ambiguous. There are individual differences both in how much people perceive ambiguity and in their tolerance for such ambiguity. Little is known about how these constructs are related to each other and with other beliefs. Objective To examine the association between (a) perceived medical ambiguity, (b) tolerance for medical ambiguity and (c) their associations with various medical and cancer‐specific judgement and decision‐making correlates. Method and Participants We conducted secondary data analyses using the cross‐sectional, nationally representative Health Information National Trends Survey 4, Cycle 4 (n = 3,433, 51.0% female, Mage = 46.5). Analyses statistically controlled for age, sex, race, education and health‐care coverage. Main variables studied Perceived medical ambiguity, tolerance for medical ambiguity, cancer perceptions, health‐care experiences and preferences, and information‐seeking styles and beliefs. Results Perceived medical ambiguity and tolerance for medical ambiguity were statistically independent. Higher perceived ambiguity was associated with lower perceived cancer preventability, lower reliance on doctors, lower perceived health and information‐seeking self‐efficacy, lower perceived quality of the cancer information‐seeking process, and greater cancer information avoidance. Lower tolerance for ambiguity was associated with lower cancer worry, lower trust in doctors, lower likelihood of seeking health information, and lower engagement in medical research. Discussion and Conclusions Perceived medical ambiguity and tolerance for medical ambiguity seem to be distinct constructs. Findings have implications for how people make medical decisions when they perceive and prefer to avoid conflicting medical information.

Research has established the effects of romantic relationships on individuals' morbidity and mortality. However, the interplay between relationship functioning, affective processes, and health behaviors has been relatively understudied. During the COVID-19 pandemic, relational processes may influence novel health behaviors such as social distancing and masking. We describe the design, recruitment, and methods of the relationships, risk perceptions, and cancer-related behaviors during the COVID-19 pandemic study. This study was developed to understand how relational and affective processes influence romantic partners' engagement in cancer prevention behaviors as well as health behaviors introduced or exacerbated by the COVID-19 pandemic. The relationships, risk perceptions, and cancer-related behaviors during the COVID-19 pandemic study used online survey methods to recruit and enroll 2 cohorts of individuals involved in cohabiting romantic relationships, including 1 cohort of dyads (n=223) and 1 cohort of cancer survivors (n=443). Survey assessments were completed over 2 time points that were 5.57 (SD 3.14) weeks apart on average. Health behaviors assessed included COVID-19 vaccination and social distancing, physical activity, diet, sleep, alcohol use, and smoking behavior. We also examined relationship factors, psychological distress, and household chaos. Data collection occurred between October 2021 and August 2022. During that time, a total of 926 participants were enrolled, of which about two-thirds were from the United Kingdom (n=622, 67.8%) and one-third were from the United States (n=296, 32.2%); about two-thirds were married (n=608, 66.2%) and one-third were members of unmarried couples (n=294, 32%). In cohorts 1 and 2, the mean age was about 34 and 50, respectively. Out of 478 participants in cohort 1, 19 (4%) identified as Hispanic or Latino/a, 79 (17%) as non-Hispanic Asian, 40 (9%) as non-Hispanic Black or African American, and 306 (64%) as non-Hispanic White; 62 (13%) participants identified their sexual orientation as bisexual or pansexual, 359 (75.1%) as heterosexual or straight, and 53 (11%) as gay or lesbian. In cohort 2, out of 440 participants, 13 (3%) identified as Hispanic or Latino/a, 8 (2%) as non-Hispanic Asian, 5 (1%) as non-Hispanic Black or African American, and 398 (90.5%) as non-Hispanic White; 41 (9%) participants identified their sexual orientation as bisexual or pansexual, 384 (87.3%) as heterosexual or straight, and 13 (3%) as gay or lesbian. The overall enrollment rate for individuals was 66.14% and the overall completion rate was 80.08%. We discuss best practices for collecting online survey data for studies examining relationships and health, challenges related to the COVID-19 pandemic, recruitment of underrepresented populations, and enrollment of dyads. Recommendations include conducting pilot studies, allowing for extra time in the data collection timeline for marginalized or underserved populations, surplus screening to account for expected attrition within dyads, as well as planning dyad-specific data quality checks. DERR1-10.2196/48516.

Previous research has demonstrated that loss-framed messages are more effective than gain-framed messages in motivating detection behaviors such as screening. The present study examined whether affective context moderates the degree to which message frame is associated with behavioral intentions to engage in colorectal cancer screening. In particular, we buttressed a framing manipulation with an “affective booster” to increase anticipated and anticipatory emotions associated with the framed messages. Consistent with previous research, we found that loss-framed messages are more effective in increasing intentions to screen. However, we found that among individuals who received gain-framed messages (but not loss-framed messages), the affective booster increased message persuasiveness. This effect on intentions was partially mediated by self-efficacy for engaging in screening. This study indicates that in the presence of emotional boosters, loss-framed messages may lose their advantage over gain-framed messages in motivating detection behaviors, and that self-efficacy may partially explain these effects.