Epistemic language in news headlines shapes readers' perceptions of objectivity.

How we reason about objectivity-whether an assertion has a ground truth-has implications for belief formation on wide-ranging topics. For example, if someone perceives climate change to be a matter of subjective opinion similar to the best movie genre, they may consider empirical claims about climate change as mere opinion and irrelevant to their beliefs. Here, we investigate whether the language employed by journalists might influence the perceived objectivity of news claims. Specifically, we ask whether factive verb framing (e.g., "Scientists know climate change is happening") increases perceived objectivity compared to nonfactive framing (e.g., "Scientists believe [...]"). Across eight studies (N = 2,785), participants read news headlines about unique, noncontroversial topics (studies 1a-b, 2a-b) or a familiar, controversial topic (climate change; studies 3a-b, 4a-b) and rated the truth and objectivity of the headlines' claims. Across all eight studies, when claims were presented as beliefs (e.g., "Tortoise breeders believe tortoises are becoming more popular pets"), people consistently judged those claims as more subjective than claims presented as knowledge (e.g., "Tortoise breeders know…"), as well as claims presented as unattributed generics (e.g., "Tortoises are becoming more popular pets"). Surprisingly, verb framing had relatively little, inconsistent influence over participants' judgments of the truth of claims. These results demonstrate how, apart from shaping whether we believe a claim is true or false, epistemic language in media can influence whether we believe a claim has an objective answer at all.

The political polarization of COVID-19 treatments among physicians and laypeople in the United States.

In the United States, liberals and conservatives disagree about facts. To what extent does expertise attenuate these disagreements? To study this question, we compare the polarization of beliefs about COVID-19 treatments among laypeople and critical care physicians. We find that political ideology predicts both groups' beliefs about a range of COVID-19 treatments. These associations persist after controlling for a rich set of covariates, including local politics. We study two potential explanations: a) that partisans are exposed to different information and b) that they interpret the same information in different ways, finding evidence for both. Polarization is driven by preferences for partisan cable news but not by exposure to scientific research. Using a set of embedded experiments, we demonstrate that partisans perceive scientific evidence differently when it pertains to a politicized treatment (ivermectin), relative to when the treatment is not identified. These results highlight the extent to which political ideology is increasingly relevant for understanding beliefs, even among expert decision makers such as physicians.

Estimating perceptions of the relative COVID risk of different social-distancing behaviors from respondents' pairwise assessments.

How do people compare the effectiveness of different social-distancing behaviors in avoiding the spread of viral infection? During the COVID pandemic, we showed 676 online respondents in the United States, United Kingdom, and Israel 30 pairs of brief videos of acquaintances meeting. We asked respondents to indicate which video from each pair depicted greater risk of COVID infection. Their choices imply that on average, respondents considered talking 14 min longer to be as risky as standing 1 foot closer, being indoors as standing 3 feet closer, being exposed to coughs or sneezes as 3 to 4 ft closer, greeting with a hug as 7 ft closer, and with a handshake as 5 ft closer. Respondents considered properly masking as protecting the wearer and interlocutor equally, removing the mask entirely or only when talking as standing 4 to 5 ft closer but wearing it under the nose as only 1 to 2 ft closer. We provide weaker evidence on beliefs about the interaction effects of different behaviors. In a more limited, ex post analysis, we find little evidence of differences in beliefs across subpopulations.

Belief Updating during Social Interactions: Neural Dynamics and Causal Role of Dorsomedial Prefrontal Cortex.

In competitive interactions, humans have to flexibly update their beliefs about another person's intentions in order to adjust their own choice strategy, such as when believing that the other may exploit their cooperativeness. Here we investigate both the neural dynamics and the causal neural substrate of belief updating processes in humans. We used an adapted prisoner's dilemma game in which participants explicitly predicted the coplayer's actions, which allowed us to quantify the prediction error between expected and actual behavior. First, in an EEG experiment, we found a stronger medial frontal negativity (MFN) for negative than positive prediction errors, suggesting that this medial frontal ERP component may encode unexpected defection of the coplayer. The MFN also predicted subsequent belief updating after negative prediction errors. In a second experiment, we used transcranial magnetic stimulation (TMS) to investigate whether the dorsomedial prefrontal cortex (dmPFC) causally implements belief updating after unexpected outcomes. Our results show that dmPFC TMS impaired belief updating and strategic behavioral adjustments after negative prediction errors. Taken together, our findings reveal the time course of the use of prediction errors in social decisions and suggest that the dmPFC plays a crucial role in updating mental representations of others' intentions.

Different learning aberrations relate to delusion-like beliefs with different contents.

The prediction error account of delusions has had success. However, its explanation of delusions with different contents has been lacking. Persecutory delusions and paranoia are the common unfounded beliefs that others have harmful intentions towards us. Other delusions include believing that one's thoughts or actions are under external control or that events in the world have specific personal meaning. We compare learning in two different cognitive tasks, probabilistic reversal learning and Kamin blocking, that have relationships to paranoid and non-paranoid delusion-like beliefs, respectively. We find that clinical high-risk status alone does not result in different behavioural results in the probabilistic reversal learning task but that an individual's level of paranoia is associated with excessive switching behaviour. During the Kamin blocking task, paranoid individuals learned inappropriately about the blocked cue. However, they also had decreased learning about the control cue, suggesting more general learning impairments. Non-paranoid delusion-like belief conviction (but not paranoia) was associated with aberrant learning about the blocked cue but intact learning about the control cue, suggesting specific impairments in learning related to cue combination. We fit task-specific computational models separately to behavioural data to explore how latent parameters vary within individuals between tasks and how they can explain symptom-specific effects. We find that paranoia is associated with low learning rates in the probabilistic reversal learning task and the blocking task. Non-paranoid delusion-like belief conviction is instead related to parameters controlling the degree and direction of similarity between cue updating during simultaneous cue presentation. These results suggest that paranoia and other delusion-like beliefs involve dissociable deficits in learning and belief updating, which, given the transdiagnostic status of paranoia, might have differential utility in predicting psychosis.

Health Belief Model to Assess Mpox Knowledge, Attitudes, and Practices among Residents and Staff, Cook County Jail, Illinois, USA, July-August 2022.

In summer 2022, a case of mpox was confirmed in a resident at the Cook County Jail (CCJ) in Chicago, Illinois, USA. We conducted in-depth interviews with CCJ residents and staff to assess mpox knowledge, attitudes, and practices; hygiene and cleaning practices; and risk behaviors. We characterized findings by using health belief model constructs. CCJ residents and staff perceived increased mpox susceptibility but were unsure about infection severity; they were motivated to protect themselves but reported limited mpox knowledge as a barrier and desired clear communication to inform preventive actions. Residents expressed low self-efficacy to protect themselves because of contextual factors, including perceived limited access to cleaning, disinfecting, and hygiene items. Our findings suggest correctional facilities can support disease prevention by providing actionable and tailored messages; educating residents and staff about risk and vaccination options; and ensuring access to and training for hygiene, cleaning, and disinfecting supplies.

Can Invalid Information Be Ignored When It Is Detected?

With the rapid spread of information via social media, individuals are prone to misinformation exposure that they may utilize when forming beliefs. Over five experiments (total N = 815 adults, recruited through Amazon Mechanical Turk in the United States), we investigated whether people could ignore quantitative information when they judged for themselves that it was misreported. Participants recruited online viewed sets of values sampled from Gaussian distributions to estimate the underlying means. They attempted to ignore invalid information, which were outlier values inserted into the value sequences. Results indicated participants were able to detect outliers. Nevertheless, participants' estimates were still biased in the direction of the outlier, even when they were most certain that they detected invalid information. The addition of visual warning cues and different task scenarios did not fully eliminate systematic over- and underestimation. These findings suggest that individuals may incorporate invalid information they meant to ignore when forming beliefs.

Learning From Aggregated Opinion.

The capacity to leverage information from others' opinions is a hallmark of human cognition. Consequently, past research has investigated how we learn from others' testimony. Yet a distinct form of social information-aggregated opinion-increasingly guides our judgments and decisions. We investigated how people learn from such information by conducting three experiments with participants recruited online within the United States (N = 886) comparing the predictions of three computational models: a Bayesian solution to this problem that can be implemented by a simple strategy for combining proportions with prior beliefs, and two alternatives from epistemology and economics. Across all studies, we found the strongest concordance between participants' judgments and the predictions of the Bayesian model, though some participants' judgments were better captured by alternative strategies. These findings lay the groundwork for future research and show that people draw systematic inferences from aggregated opinion, often in line with a Bayesian solution.

Effect of health belief model-based educational intervention on prostate cancer prevention; knowledge, practices, and intentions.

BACKGROUND: Prostate cancer screening is a crucial preventive element for improving the survival rates of prostate cancer. Therefore, our research objective was to investigate the effect of health belief model-based education on prostate cancer knowledge, health beliefs, and preventive health practices among adult and older adult males. METHODS: A one-group pre-test/post-test quasi-experimental study design was carried out at the one-day outpatient clinics affiliated to General Alexandria Main University Hospital. We enrolled 110 men aged 45-75 years old in a health belief model-based educational intervention program. Various questionnaires were utilized to gather data before, immediately after, and three months following the intervention. These questionnaires included the socio-demographic questionnaire, Prostate Cancer Knowledge Questionnaire (PCKQ), Prostate Cancer Screening-Health Belief Model Scale (HBM-PCS), Prostate Cancer Preventive Practices Questionnaire (PCPPQ), and one question regarding the intention to undergo PC screening. RESULTS: Participants' knowledge about prostate cancer screening improved significantly immediately after the program and this positive change was maintained at the follow-up (p = 0.000). Furthermore, participants' perceptions and preventive practices towards prostate cancer screening had changed significantly after program completion and at follow-up (p = 0.000). After program completion, many of the participants (92.7%) expressed their intention to undergo prostate cancer screening within the coming six months (p = 0.000). The younger age group (45-49 years) showed higher scores in their perception of prostate screening (p = 0.001). Higher education and income were significantly associated with higher scores in the three scales (p = 0.000 in all scales). CONCLUSION: The study findings emphasized the effectiveness of the designed health educational program based on the HBM on PC preventive behaviors, through significantly improving participants' knowledge level, perceptions, practices, and intentions to PC screening. The program is highly recommended for prostate cancer preventive health practices among both adult and older adult males.

Health care seeking behaviour towards cervical cancer screening among women aged 30-49 years in Arbaminch town, Southern Ethiopia, 2023.

BACKGROUND: Cervical cancer is a preventable disease. However, it remains the commonest and deadly cancer in women worldwide. Health care seeking behaviour is not well studied in Ethiopia even though it is crucial in averting cervical cancer by maximizing cervical cancer screening utilization. Therefore, this study amid to assess health care seeking behaviour towards cervical cancer screening and its associated factors among women aged 30-49 years in Arba Minch town, Southern Ethiopia, 2023. METHODS: A community-based cross-sectional study design was conducted on 414 women who are in the age range of 30-49 in Arba Minch town from January 2-February20, 2023. Study participants were selected by a simple random sampling technique from all kebeles and data were collected using pretested interviewer administered questionnaires. SPSS version 27 was used to conduct binary and multivariable logistic regression analysis. Socio-demographic characteristics of the respondents were described using descriptive statistics. Furthermore, binary and multivariable logistic regression analyses were made to find the factors associated with health care seeking behaviour. Variables with a p-value less than 0.25 on binary logistic regression were selected for multivariable logistic regression. Variables with a p-value < 0.05 were considered statistically significant. The reliability and internal consistency of the constructs of health belief model were calculated independently using Cronbach's alpha. RESULT: The prevalence of health care seeking behaviour towards cervical cancer screening was 197(47.6%) [95%CI: 42.7-52.5%]. Respondents' good knowledge [AOR = 1.55, 95%CI: 1.01-2.39], positive perceived susceptibility [AOR = 3.63, 95%CI: 2.06-6.42], positive perceived severity [AOR = 2.65, 95%CI: 1.71-4.09], positive perceived benefits [AOR = 4.85, 95%CI: 2.92-7.87] were significantly associated with health seeking behaviour. CONCLUSION: The prevalence of health care seeking behaviour towards cervical cancer screening is low in this study. To maximize the health care seeking behavior of women, further acting on perceived susceptibility, respondents' knowledge, perceived severity, and perceived benefit of the woman are crucial.

Disparities in Mammography Screening: Analyzing Barriers to Access Using Individual Patient Perspectives and the Health Belief Model.

OBJECTIVE: The objective of our study is to explore Nepali women's beliefs about access to mammography screening, and motivations to get screened or not. This work was intended to be hypothesis generating for subsequent quantitative analysis and to inform policy and decision-making to improve access. METHODS: We conducted structured qualitative interviews among nine Nepali women in the Northeast of the United States receiving care at a local community health center and among nine white women receiving mammography care at a large academic medical center in the Northeast. We analyzed the transcripts using a mixed deductive (content analysis) and inductive (grounded theory) approach. Deductive codes were generated from the Health Belief Model which states that a person's belief in the real threat of a disease with their belief in the effectiveness of the recommended health service or behavior or action will predict the likelihood the person will adopt the behavior. We compared and contrasted qualitative results from both groups. RESULTS: We found that eligible Nepali women who had not received mammography screening had no knowledge of its availability and its importance. Primary care physicians emerged as a critical link in addressing this disparity: trust was found to be high among Nepali women with their established primary care provider. CONCLUSION: The findings of this study suggest that the role of primary care practitioners in conversations around the importance and eligibility for mammography screening is of critical importance, especially for underserved groups with limited health knowledge of screening opportunities and potential health benefits. Follow-up research should focus on primary care practices.

In this study, we interviewed Nepali women in a small, rural state in in the Northeast of the United States who are eligible for breast cancer screening yet do not seek it to better understand their motivations f. We also interviewed women who did get mammography screening to understand their motivations. We found that eligible Nepali women who had not received mammography screening had no knowledge of its availability and its importance. Primary care physicians emerged as a critical link in addressing this disparity: trust was found to be high among Nepali women with their established primary care provider. The findings of this study suggest that the role of primary care practitioners in conversations around the importance and eligibility for mammography screening is of critical importance.

Factors affecting cervical screening using the health belief model during the last decade: A systematic review and meta-analysis.

AIMS: To examine the utility of the health belief model (HBM) and other socioeconomic factors in shaping cervical screening behaviors. Also, to provide recommendations on improving screening uptake. METHODOLOGY: A systematic literature search was conducted using the PubMed/MEDLINE, Cochrane/CENTRAL, and Web of Science databases for articles reporting on the factors associated with cervical screening using the HBM within the period from January of 2002 to January of 2023. Effect sizes for the various HBM constructs were pre-determined using the log odds ratio (logOR) and expressed with their confidence intervals. All reporting was in line with the PRISMA guidelines. RESULTS: A total of 21 studies were included in the final analysis comprised of 15,365 participants. Our pooled analysis demonstrated that perceived susceptibility (OR: 1.40, 95% CI, 1.03-1.89), perceived benefits (OR: 1.30; 95% CI, 1.13-1.50), and self-efficacy (OR: 1.11; 95% CI, 1.05-1.17) were significantly associated with both the uptake of and intention to adopt preventive measures against cervical cancer. Conversely, women with higher perceptions of barriers were less likely to adopt any measure for cervical cancer screening or prevention (OR: 0.72; 95% CI, 0.57-0.91). In terms of sociodemographic effectors, older age (OR: 1.09; 95% CI, 1.01-1.19), graduate/post-graduate education (OR: 2.80; 95% CI, 1.46-5.37), higher knowledge of cervical cancer (OR: 2.21; 95% CI, 1.27-3.84), and being married (OR: 3.89; 95% CI, 1.38-10.92) were all associated with altering preventive behaviors and intentions toward cervical cancer. CONCLUSION: This review delineates the most important and effective cognitive components that should be targeted within interventions aiming to promote cervical cancer prevention.

Perceptions of antibiotic resistance among hospital healthcare professionals in high-income countries: A systematic review of causes, consequences, and solutions.

OBJECTIVE: Antibiotic resistance (ABR) is a major threat to public health. Hospital healthcare professionals are important stakeholders in curbing ABR. To be able to encourage healthcare professionals to act against ABR, information on their perceptions is needed. Yet, summary evidence on how healthcare professionals perceive ABR causes, consequences, and solutions is outdated. This review aims to elucidate these perceptions. METHODS: We searched MEDLINE, EMBASE, PsycINFO, and CINAHL for literature published until July 6th, 2022, and used Web of Science and Scopus to identify reports citing included studies. Reports of quantitative original research from high-income countries were included if they investigated hospital healthcare professionals' perceptions about ABR. Descriptive data and data on perceptions about causes, consequences, and solutions regarding ABR were extracted. PROSPERO registration: CRD42022359249. RESULTS: The database search and citation tracking yielded 13,551 and 694 papers respectively. Forty-eight reports from 46 studies were included in the review. These studies were performed between 1999 and 2023 and included between 8 and 1362 participants. Healthcare professionals perceived ABR as a problem that is more severe nationally than locally and they primarily recognize ABR as a distant and abstract problem. Studies mostly concurred on prescribing behavior as a cause and a solution for ABR, while external causes and solutions (e.g., in agriculture) elicited less agreement. CONCLUSIONS: Studies with a primary focus on the perceptions of healthcare professionals about ABR are limited. Healthcare professionals perceive prescribing behavior as a major cause of ABR and a focus area for ABR solutions.

Cross-Cultural Patient Counseling and Communication in the Integrative Medicine Setting: Respecting the Patient's Health Belief Model of Care.

PURPOSE OF REVIEW: Communicating effectively with patients having a traditional, alternative or complementary medicine-related health-belief model is challenging in today's cross-cultural society. This narrative review explores the integrative medicine setting of care, focusing on insights from the integrative oncology daily practice, while addressing the relevance to the mental health setting. The way in which healthcare providers can enhance cultural-sensitive communication with patients and informal caregivers; recognize and respect health-beliefs to bridge cultural gaps; and generate an open, non-judgmental and mindful dialogue are discussed. RECENT FINDINGS: Identifying cross-cultural barriers to healthcare provider-patient communication is important in order to address the potential for conflict between conventional and "alternative" health beliefs; difficulties in creating a shared-decision making process; disagreement on therapeutic goals and treatment plan; and finally, the potential for non-compliance or non-adherence to the conventional oncology treatment. Acquiring intercultural competencies is needed at all stages of medical education, and should be implemented in medical and nursing curricula, as well as during specialization and sub-specialization. As with patient-centered paradigms of care, integrative medicine entails a dual patient-centered and sensitive-cultural approach, based on a comprehensive bio-psycho-social-spiritual model of care.

Optimal self-protection and health risk perceptions: Exploring connections between risk theory and the Health Belief Model.

In this contribution to the longstanding risk theory debate on optimal self-protection, we aim to enrich the microeconomic modeling of self-protection, in the wake of Ehrlich and Becker (1972), by exploring the representation of risk perception at the core of the Health Belief Model (HBM), a conceptual framework extremely influential in Public Health studies (Janz and Becker, 1984). In our two-period model, we highlight the crucial role of risk perception in the individual decision to adopt a preventive behavior toward a generic health risk. We discuss the optimal prevention effort engaged by an agent displaying either imperfect knowledge of the susceptibility (probability of occurrence) or the severity (magnitude of the loss) of a health hazard, or facing uncertainty on these risk components. We assess the impact of risk aversion and prudence on the optimal level of self-protection, a critical issue in the risk and insurance economic literature, yet often overlooked in HBM studies. Our results pave the way for the design of efficient information instruments to improve health prevention when risk perceptions are biased.

Improved deep belief network for estimating mango quality indices and grading: A computer vision-based neutrosophic approach.

This research introduces a revolutionary machinet learning algorithm-based quality estimation and grading system. The suggested work is divided into four main parts: Ppre-processing, neutroscopic model transformation, Feature Extraction, and Grading. The raw images are first pre-processed by following five major stages: read, resize, noise removal, contrast enhancement via CLAHE, and Smoothing via filtering. The pre-processed images are then converted into a neutrosophic domain for more effective mango grading. The image is processed under a new Geometric Mean based neutrosophic approach to transforming it into the neutrosophic domain. Finally, the prediction of TSS for the different chilling conditions is done by Improved Deep Belief Network (IDBN) and based on this; the grading of mango is done automatically as the model is already trained with it. Here, the prediction of TSS is carried out under the consideration of SSC, firmness, and TAC. A comparison between the proposed and traditional methods is carried out to confirm the efficacy of various metrics.

Principles of belief acquisition. How we read other minds.

Reading other minds is a pervasive feature of human social life. A decade of research indicates that people can automatically track an agent's beliefs regardless of whether this is required. But little is known about the principles t guide automatic belief tracking. In six experiments adapting a false belief task introduced by Kovács et al. (2010), we tested whether belief tracking is interrupted by either an agent's lack of perceptual access or else by an agent's constrained action possibilities. We also tested whether such manipulations create interruptions when participants were instructed to track beliefs. Our main finding: the agent's lack of perceptual access did not interrupt belief tracking when participants were not instructed to track beliefs. Overall, our findings raise a challenge: some of the phenomena that have been labelled mindreading are perhaps not mindreading at all, or-more likely-they are mindreading but not as we know it.

Goal characteristics predict the occurrence of goal-related events through belief in future occurrence.

While previous studies have highlighted the role of episodic future thinking in goal pursuit, the underlying cognitive mechanisms remain unexplored. Episodic future thinking may promote goal pursuit by shaping the feeling that imagined events will (or will not) happen in the future - referred to as belief in future occurrence. We investigated whether goal self-concordance (Experiment 1) and other goal characteristics identified as influential in goal pursuit (Experiment 2) modulate belief in the future occurrence of goal-related events and predict the actual occurrence of these events. Results showed that goal self-concordance, engagement, and expectancy had an indirect effect on the actual occurrence of events, which was (partially) mediated by belief in future occurrence. The mediating role of belief supports the view that belief in future occurrence when imagining events conveys useful information, allowing us to make informed decisions and undertake adaptive actions in the process of goal pursuit.

The Case for Heterogeneity in Metacognitive Appraisals of Biased Beliefs.

ACADEMIC ABSTRACT: Prominent theories of belief and metacognition make different predictions about how people evaluate their biased beliefs. These predictions reflect different assumptions about (a) people's conscious belief regulation goals and (b) the mechanisms and constraints underlying belief change. I argue that people exhibit heterogeneity in how they evaluate their biased beliefs. Sometimes people are blind to their biases, sometimes people acknowledge and condone them, and sometimes people resent them. The observation that people adopt a variety of "metacognitive positions" toward their beliefs provides insight into people's belief regulation goals as well as insight into way that belief formation is free and constrained. The way that people relate to their beliefs illuminates why they hold those beliefs. Identifying how someone thinks about their belief is useful for changing their mind. PUBLIC ABSTRACT: The same belief can be alternatively thought of as rational, careful, unfortunate, or an act of faith. These beliefs about one's beliefs are called "metacognitive positions." I review evidence that people hold at least four different metacognitive positions. For each position, I discuss what kinds of cognitive processes generated belief and what role people's values and preferences played in belief formation. We can learn a lot about someone's belief based on how they relate to that belief. Learning how someone relates to their belief is useful for identifying the best ways to try to change their mind.

Development and psychometric evaluation of the adjuvant endocrine therapy beliefs scale for breast cancer survivors.

PURPOSE: Adjuvant endocrine therapy has a vital role in reducing breast cancer mortality. The beliefs in adjuvant endocrine therapy is a very important factor in the medication adherence of breast cancer survivors. Therefore, it is necessary to develop a standardized scale for assessment of adjuvant endocrine therapy. The purpose of this study was to identify the attributes of adjuvant endocrine therapy beliefs, and to evaluate adjuvant endocrine therapy beliefs scale psychometric properties. METHODS: A hybrid model was applied to identify the concept of adjuvant endocrine therapy beliefs and measurement question were developed by the scale development process. Statistical analysis using validity analysis and Rasch analysis based on item response theory were performed. A total of 228 breast cancer survivors in South Korea participated in the study. RESULTS: The finally developed adjuvant endocrine therapy beliefs scale consisted of 22 items. The items extracted by 4 factors explained 59.72% of the total variance. The model fit showed an acceptable level. The adjuvant endocrine therapy beliefs scale was excellent in convergent and discriminant validity with reliability. CONCLUSION: This scale is expected to be practical and useful in identifying adjuvant endocrine therapy beliefs and developing intervention strategies to promote adjuvant endocrine therapy adherence. In addition, continuous education and support should be accompanied so that breast cancer survivors can maintain positive beliefs in adjuvant endocrine therapy adherence.