The psychological mechanism of internet information processing for post-treatment evaluation

Trust Is for the Strong: How Health Status May Influence Generalized and Personalized Trust

In the trust-health relationship, how trusting other people in society may promote good health is a topic often examined. However, the other direction of influence-how health may affect trust-has not been well explored. In order to investigate this possible effect, we employed the Bayesian Mindsponge Framework (BMF) analytics to go deeper into the information processing mechanisms underlying the expressions of trust. Conducting a Bayesian analysis on a dataset of 1237 residents from Cali, Colombia, we found that general health status is positively associated with generalized trust, but recent experiences of illnesses/injuries have a negative moderating effect. Personalized trust is largely unchanged across different general health conditions, but the trust level becomes higher with recent experiences of illnesses/injuries. Psychophysiological mechanisms of increasing information filtering intensity toward unfamiliar sources during a vulnerable state of health is a plausible explanation of found patterns in generalized trust. Because established personal relationships are reinforced information channels, personalized trust is not affected as much. Rather, the results suggest that people may rely even more on loved ones when they are in bad health conditions. This exploratory study shows that the trust-health relationship can be examined from a different angle that may provide new insights.

Examining the Influence of Exploration and Parental Education Attainment on Students' Acceptance of Collectivist Values

Exploration can help students access a wider range of information and make connections among values within the natural and social world. This study investigated the relationship between students' previous exploration of their surroundings and their acceptance of collectivist values in the context of China. A sample of 343 college students was analyzed based on the Bayesian Mindsponge Framework to explore this relationship. The results revealed a positive association between students' prior exploration of surroundings and their degree of collectivist orientation. Furthermore, parental education attainment was found to negatively moderate this association, albeit with a small effect size. These findings contribute to the understanding of how information acquisition influences students' acceptance of collectivist values and highlight the potential role of the family infosphere in shaping this relationship.

How AI's Self-Prolongation Influences People's Perceptions of Its Autonomous Mind: The Case of U.S. Residents

The expanding integration of artificial intelligence (AI) in various aspects of society makes the infosphere around us increasingly complex. Humanity already faces many obstacles trying to have a better understanding of our own minds, but now we have to continue finding ways to make sense of the minds of AI. The issue of AI's capability to have independent thinking is of special attention. When dealing with such an unfamiliar concept, people may rely on existing human properties, such as survival desire, to make assessments. Employing information-processing-based Bayesian Mindsponge Framework (BMF) analytics on a dataset of 266 residents in the United States, we found that the more people believe that an AI agent seeks continued functioning, the more they believe in that AI agent's capability of having a mind of its own. Moreover, we also found that the above association becomes stronger if a person is more familiar with personally interacting with AI. This suggests a directional pattern of value reinforcement in perceptions of AI. As the information processing of AI becomes even more sophisticated in the future, it will be much harder to set clear boundaries about what it means to have an autonomous mind.

What motivates farmers to adopt low-carbon agricultural technologies? Empirical evidence from thousands of rice farmers in Hubei province, central China

Low-carbon agriculture is essential for protecting the global climate and sustainable agricultural economics. Since China is a predominantly agricultural country, the adoption of low-carbon agricultural technologies by local farmers is crucial. The past literature on low-carbon technologies has highlighted the influence of demographic, economic, and environmental factors, while the psychological factors have been underexplored. A questionnaire-based approach was used to assess the psychological process underlying the adoption of low-carbon agricultural technologies by 1,114 Chinese rice farmers in this paper, and structural equation modeling (SEM) was empirically employed to test our theoretical model. The results indicated that farmers' low-carbon production attitude and behavioral efficiency perception directly and positively affected the adoption of low-carbon agricultural technologies and indirectly affected it via low-carbon production intention. Besides, production implementation cost and socio-environmental factor could moderate the direct effects of low-carbon production attitude, behavioral efficiency perception, and low-carbon production intention on farmers' adoption of low-carbon agricultural technologies. In this respect, socio-environmental factor yielded more significant moderating effects. Additionally, this research provides policy implications for promoting low-carbon agricultural technologies in developing countries and regions.

Escaping from Air Pollution: Exploring the Psychological Mechanism behind the Emergence of Internal Migration Intention among Urban Residents

Rapid urbanization with poor city planning has resulted in severe air pollution in urban areas of low- and middle-income countries. Given the adverse impacts of air pollution, citizens may develop ideation of averting behaviors, including migration to another region. The current study explores the psychological mechanism and demographic predictors of internal migration intention among urban people in Hanoi, Vietnam-one of the most polluted capital cities in the world. The Bayesian Mindsponge Framework (BMF) analytics was used to construct a model and perform Bayesian analysis on a stratified random sampling dataset of 475 urban people. We found that migration intention was negatively associated with an individual's satisfaction with air quality. The association was moderated by the perceived availability of a nearby alternative (i.e., a nearby province/city with better air quality). The high migration cost due to geographical distance made the moderation effect of the perceived availability of a faraway alternative negligible. These results validate the proposed psychological mechanism behind the emergence of migration intention. Moreover, it was found that male and young people were more likely to migrate. While the brain drain effect did not clearly show, it is likely due to complex underlying interactions of various related factors (e.g., age and gender). The results hint that without air pollution mitigation measures, the dislocation of economic forces might occur and hinder sustainable urban development. Therefore, collaborative actions among levels of government, with the environmental semi-conducting principle at heart, are recommended to reduce air pollution.

Development and Initial Validity of the Patients' Literacy Scale Among Outpatients in Hangzhou City, China

Purpose

There are few studies on the intervention of the doctor-patient relationship (DPR) from patients' perspective, because of lacking appropriate measurement instruments for the effect of the patient interveqntion. Understanding the status of patients' literacy (the ability to initiatively obtain, read, and analyze health-related materials, make appropriate decisions, reduce risks of health-related problems) and developing the patients' literacy scale (PLS) align with the interests of patients, doctors, and researchers.

Patients and Methods

This study was conducted in two stages: item building and item refinement. A total of 303 subjects were recruited from the outpatient hall in three hospitals with different levels in Hangzhou city, China. Twenty patients and seven experts determined the face and content validity, respectively. The construct validity, convergent, discriminant validity, and known-group validity of the scale were examined by exploratory and confirmatory factor analysis (EFA and CFA). Internal consistency, including Cronbach's alpha, McDonald's ω, split-half reliability, and composite reliability (CR), was also tested.

Results

The EFA of PLS showed that Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy was 0.787, and Bartlett's Test of Sphericity showed a significance of p < 0.001. The extracted four-factor (patient activation, knowledge, attitudes, practice) model explained 61.266% of the total variance. For the overall PLS, the Cronbach's alpha, McDonald's ω and split-half reliability coefficient were 0.815, 0.838 and 0.720, respectively. The CFA showed the goodness of fit (RMSEA = 0.065, CMIN/DF = 1.635, GFI = 0.900, CFI = 0.905, TLI = 0.909). The CR of each factor in this scale was 0.740, 0.732, 0.630, and 0.749, respectively.

Conclusion

This study showed that the PLS was valid and reliable to measure the patients' literacy (PL). The 15-item PLS can help not only measure PL but also be used as a standard and advocacy target for patients' behavioral model which can further improve the DPR.

Antecedents of attitude and their impact on behavioral intention in the staycation context

The year 2020 and 2021 have been decimated by the pandemic, leading to outbound vacations largely scrapped. Staycation, a typical domestic journal, has then been adopted by those who are tired of self-isolation for so long. This study aims to explore and assess the drivers exerting impact on attitude of tourists toward staycation and the interrelationship among the research constructs is also examined. A quantitative analysis is employed for evaluating the roles of reduced risk perception, benign envy, and perceived benefits as they exert the effect on attitude toward staycation. An online questionnaire survey was used, and a total of 213 samples were collected from target respondents in Hong Kong, which were still under lockdown at the time of the study. The results of the study showed that reduced risk perception, benign envy as well as perceived benefits will influence tourists' attitude toward staycation. The managerial and theoretical implications of the results are discussed based on the significant relationships identified in the study.

Dilemma and countermeasure of sustainable leadership in physical education development in southern rural Ningxia, China

Globally, above 1.4 billion adults did not reach the recommended level of physical education in their daily life, thus triple intendent reforms are proposed by the Ministry of Physical Education for the development of sporting leadership in schools, colleges, and universities, which are essentially important for the development of physical and mental health of the students. This article analyzes the situation of lacking sustainable sporting leadership among other factors related to Physical Education (PE) resources in the southern areas of Ningxia. A mixed and multi-method approach was adopted to conduct the study. First, an in-depth but an open-ended qualitative interview with the professionals was carried out, followed by cross-sectional data collected from the respondents in two districts of the southern mountainous area of Ningxia. Moreover, a case study was included to support the phenomenon from a contextual perspective. The study present that PE education needs a modernization and rejuvenation plan to link with PE development and its sustainable execution and implementation for the physical and mental development of the learners. Moreover, it is suggested to strengthen the development of physical education with/through the fields of regional integration of educational resources sharing, cultural elements and integration, latest technological tools, research-based and cultural supported curriculum, and endogenous strength construction to promote the development of school physical education. Furthermore, continuous monitoring and evaluation mechanisms need to be adopted to develop physical education in the region.

The relationship between future self-continuity and intention to use Internet wealth management: The mediating role of tolerance of uncertainty and trait anxiety

This study aimed to analyze the mediating effect of tolerance of uncertainty (TU) and trait anxiety (TA) on future self-continuity (FSC) and intention to use Internet wealth management (IUIWM) systems. A questionnaire survey was distributed online and a total of 388 participants completed questionnaire, The questionnaire included the following scales: Chinese version of the FSC, Intention to Use the Internet Wealth Management, TU, and TA. Pearson correlation was used to investigate the correlation coefficient between variables while the sequential regression method was used to analyze relationship between variables. To analyze the collected data, the SPSS 26.0 was used. A two-step procedure was applied to analyze the mediation effect. Confirmatory factor analysis (CFA) was conducted to test the measurement model. Afterward, the Maximum Likelihood method was used for path analysis, and the Bias-corrected Bootstrap method was used to investigate determine the estimated value and confidence interval of the mediating effect. To analyze the mediation effect, the Mplus 7.0 was used. The results showed that FSC positively predicted individuals’ Internet wealth management systems. Furthermore, TU and TA played complete serial multiple mediating roles between FSC and IUIWM. The role of TA and TU have negative impact on intention to use. This study provides a theoretical basis in personality psychology that Internet financial product suppliers can use to improve the attractiveness of their products. Product managers can subdivide users according to these personality traits to provide customized products.

Introduction to Bayesian Mindsponge Framework analytics: an innovative method for social and psychological research

The paper introduces Bayesian Mindsponge Framework (BMF) analytics, a new analytical tool for investigating socio, psychological, and behavioral phenomena. The strengths of this method derive from the combination of the mindsponge mechanism's conceptual formulation power and Bayesian analysis's inferential advantages. The BMF-based research procedure includes six main steps, in which the mindsponge-based conceptualization and model construction is the key step that makes the method unique. Therefore, we elaborate on the fundamental components and functions of the mindsponge mechanism and summarize them into five memorable principles so that other researchers can capitalize directly. An exemplary analysis was performed using a dataset of 3071 Vietnamese entrepreneurs’ decisiveness and perceptions of the likelihood of success/continuity to validate the method.•

The paper provides five strong points of BMF analytics, originating from the good match between the mindsponge mechanism and Bayesian inference.

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The paper also provides a step-by-step procedure for conducting BMF-based research.

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The mindsponge mechanism's basic components and functions are elaborated and summarized into five core principles that can be applied directly for research conceptualization and model construction.

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.

The usefulness of a checklist approach-based confirmation scheme in identifying unreliable COVID-19-related health information: a case study in Japan

Consumers are increasingly able to easily access health information online about food products. However, consumers have difficulty identifying reliable health information from diverse sources along with information about the coronavirus disease (COVID-19) pandemic because the inundation of information (both true and false) overwhelm consumers. We investigated the usefulness of a checklist confirmation scheme for identifying unreliable COVID-19-related health information. Data were collected from June 30-July 1, 2021. First, we measured 700 participants' baseline health literacy levels by having them read unreliable health information about the efficacy of green tea intake in preventing COVID-19 based on the results of animal experimentation. Second, participants read an explanation with a five-step flowchart of how to identify reliable health information. Thereafter, we remeasured participants' health literacy levels. To identify the factors hindering the effect of the confirmation scheme, a logistic regression analysis was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Overall, 77.9% (293/376) of those with low health literacy levels at baseline still had low literacy after the intervention. The factor that hindered the confirmation scheme's usefulness was benefit perceptions of food ingredients (OR: 0.493; 95% CI: 0.252-0.966). Consumers with higher benefit perceptions of a target product faced more difficulties using the confirmation scheme effectively. Therefore, the most effective strategies involve filtering information at the organizational level rather than the individual level, which should help consumers correctly identify misinformation concerning food and health and promote accurate decision-making.