The political, psychological, and social correlates of cryptocurrency ownership.

Cryptocurrency is a digital asset secured by cryptography that has become a popular medium of exchange and investment known for its anonymous transactions, unregulated markets, and volatile prices. Given the popular subculture of traders it has created, and its implications for financial markets and monetary policy, scholars have recently begun to examine the political, psychological, and social characteristics of cryptocurrency investors. A review of the existing literature suggests that cryptocurrency owners may possess higher-than-average levels of nonnormative psychological traits and exhibit a range of non-mainstream political identities. However, this extant literature typically employs small nonrepresentative samples of respondents and examines only a small number of independent variables in each given study. This presents the opportunity for both further testing of previous findings as well as broader exploratory analyses including more expansive descriptive investigations of cryptocurrency owners. To that end, we polled 2,001 American adults in 2022 to examine the associations between cryptocurrency ownership and individual level political, psychological, and social characteristics. Analyses revealed that 30% of our sample have owned some form of cryptocurrency and that these individuals exhibit a diversity of political allegiances and identities. We also found that crypto ownership was associated with belief in conspiracy theories, "dark" personality characteristics (e.g., the "Dark Tetrad" of narcissism, Machiavellianism, psychopathy, and sadism), and more frequent use of alternative and fringe social media platforms. When examining a more comprehensive multivariate model, the variables that most strongly predict cryptocurrency ownership are being male, relying on alternative/fringe social media as one's primary news source, argumentativeness, and an aversion to authoritarianism. These findings highlight numerous avenues for future research into the people who buy and trade cryptocurrencies and speak to broader global trends in anti-establishment attitudes and nonnormative behaviors.

Decentralising the Self - Ethical Considerations in Utilizing Decentralised Web Technology for Direct Brain Interfaces.

The rapidly advancing field of brain-computer (BCI) and brain-to-brain interfaces (BBI) is stimulating interest across various sectors including medicine, entertainment, research, and military. The developers of large-scale brain-computer networks, sometimes dubbed 'Mindplexes' or 'Cloudminds', aim to enhance cognitive functions by distributing them across expansive networks. A key technical challenge is the efficient transmission and storage of information. One proposed solution is employing blockchain technology over Web 3.0 to create decentralised cognitive entities. This paper explores the potential of a decentralised web for coordinating large brain-computer constellations, and its associated benefits, focusing in particular on the conceptual and ethical challenges this innovation may pose pertaining to (1) Identity, (2) Sovereignty (encompassing Autonomy, Authenticity, and Ownership), (3) Responsibility and Accountability, and (4) Privacy, Safety, and Security. We suggest that while a decentralised web can address some concerns and mitigate certain risks, underlying ethical issues persist. Fundamental questions about entity definition within these networks, the distinctions between individuals and collectives, and responsibility distribution within and between networks, demand further exploration.

Pet ownership and psychosocial outcomes among the oldest old in Germany during the Covid-19 pandemic. Findings based on the nationally representative "Old Age in Germany (D80+)".

OBJECTIVES: To examine the association between pet ownership and psychosocial outcomes among the oldest old in Germany during the Covid-19 pandemic. METHODS/DESIGN: Data from the "Old Age in Germany (D80+)" study were used, a large, nationwide representative study covering both individuals living at home and individuals in nursing homes aged 80 years and above (n = 2867 individuals). The telephone interviews were conducted from May to October 2021. Established tools (e.g., "Short Form of the Depression in Old Age Scale", DIA-S4) were used to quantify the outcomes. Five groups were generated: (1) no pet ownership, (2) having at least one dog (but no other pets), (3) having at least one cat (but no other pets), (4) having at least one other pet (but neither dogs nor cats), (5) having at least two different types of pets (in any combination). RESULTS: Multiple linear regressions showed that compared to individuals without a pet, individuals having at least one dog had significantly lower loneliness levels (ß = -0.21, p < 0.01). In the fully-adjusted models, other forms of pet ownership were not significantly associated with the outcomes examined. CONCLUSION: Particularly living with a dog was associated with lower loneliness among the oldest old people in Germany. If living with a dog is in line with the preferences and attitudes of the very old, this could be a strategy for reducing loneliness in this age group.

Effects of Practice Ownership and Integration of Health Services on Adherence to Diabetes Guidelines.

OBJECTIVE: There has been a trend toward hospital systems and insurers acquiring privately owned physician practices and subsequently converting them into vertically integrated practices. The purpose of this study is to observe whether this change in ownership of a medical practice influences adherence to clinical guidelines for the management of type 1 and type 2 diabetes. METHODS: This is an observational study using pooled cross-sectional data (2014-2016 and 2018-2019) from the National Ambulatory Medical Care Survey, a nationally representative probability sample of US office-based physician visits. A total of 7499 chronic routine follow ups and preventative care visits to non-integrated (solo and group physician practices) and integrated practices were analyzed to see whether guideline concordant care was provided. Measures included 7 services that are recommended annually for individuals with type 1 and type 2 diabetes (HbA1c, lipid panel, serum creatinine, depression screening, influenza immunization, foot examination, and BMI). RESULTS: Compared to non-integrated physician practices, vertically integrated practices had higher rates of hemoglobin A1C testing (odds ratio 1.58 [95% CI 1.07-2.33], P < .05), serum creatine testing (odds ratio 1.53 [95% CI 1.02-2.29], P < .05), foot examinations (odds ratio 2.03 [95% CI 0.98-4.22], P = .058), and BMI measuring (odds ratio 1.54 [95% CI 0.99-2.39], P = .054). There was no significant difference in lipid panel testing, depression screenings, or influenza immunizations. CONCLUSIONS: Our results show that integrated medical practices have a higher adherence to diabetes practice guidelines than non-integrated practices. However, rates of services provided regardless of ownership were low.

Updated Estimate of the Number of Extreme Risk Protection Orders Needed to Prevent 1 Suicide.

Importance: Extreme risk protection orders (ERPOs)-also known as red flag, risk warrant, and gun violence restraining orders-authorize law enforcement, family members, and sometimes others to petition a court to remove firearms from and prevent the acquisition of new firearms by a person judged to pose an immediate danger to themselves or others. Previous estimates suggest that 1 suicide is prevented for every 10 ERPOs issued, a number needed to treat that depends critically on the counterfactual estimate of the proportion of suicidal acts by ERPO respondents that would have involved firearms in the absence of ERPOs. Objective: To empirically inform updated estimates of the number of ERPOs needed to prevent 1 suicide. Design, Setting, and Participants: This cohort study used data from California for method-specific suicides by handgun ownership (October 18, 2004, to December 31, 2015). Handgun-owning suicide decedents in California were identified using individual-level registry data about lawful handgun ownership linked to cause-specific mortality for a cohort of more than 25 million adults. The study also used data from Connecticut for method-specific suicides among ERPO respondents who died by suicide, extracted from published data (October 1999 to June 2013). Data analysis was performed in December 2023. Exposure: Handgun ownership. Main Outcomes and Measures: The primary outcomes were the number and distribution of suicidal acts by handgun owners in California, estimated using method-specific suicide mortality data and published case fatality ratios, and the counterfactual number and distribution of suicidal acts and deaths among ERPO respondents in Connecticut had no ERPOs been issued. Results: A total of 1216 handgun owners (mean [SD] age, 50 [18] years; 1019 male [83.8%]) died by suicide during the study period. Among male handgun owners in California, 28% of suicidal acts involved firearms, 54% involved drug poisoning, 9% involved cutting or piercing, 3% involved hanging or suffocation, 2% involved poisoning with solids and/or liquids, and the remaining 4% involved other methods. Assuming this distribution approximates the counterfactual distribution among ERPO respondents in Connecticut in the absence of ERPOs, 1 suicide death was prevented for every 22 ERPOs issued. Conclusions and Relevance: The estimates produced by this cohort study of California handgun owners suggest that ERPOs can play an important role in averting deaths among high-risk individuals.

Owning Decisions: AI Decision-Support and the Attributability-Gap.

Artificial intelligence (AI) has long been recognised as a challenge to responsibility. Much of this discourse has been framed around robots, such as autonomous weapons or self-driving cars, where we arguably lack control over a machine's behaviour and therefore struggle to identify an agent that can be held accountable. However, most of today's AI is based on machine-learning technology that does not act on its own, but rather serves as a decision-support tool, automatically analysing data to help human agents make better decisions. I argue that decision-support tools pose a challenge to responsibility that goes beyond the familiar problem of finding someone to blame or punish for the behaviour of agent-like systems. Namely, they pose a problem for what we might call "decision ownership": they make it difficult to identify human agents to whom we can attribute value-judgements that are reflected in decisions. Drawing on recent philosophical literature on responsibility and its various facets, I argue that this is primarily a problem of attributability rather than of accountability. This particular responsibility problem comes in different forms and degrees, most obviously when an AI provides direct recommendations for actions, but also, less obviously, when it provides mere descriptive information on the basis of which a decision is made.

A Statistical Analysis of the Impact of Gun Ownership on Mass Shootings in the USA Between 2013 and 2022.

Mass shootings (incidents with four or more people shot in a single event, not including the shooter) are becoming more frequent in the United States, posing a significant threat to public health and safety in the country. In the current study, we intended to analyze the impact of state-level prevalence of gun ownership on mass shootings-both the frequency and severity of these events. We applied the negative binomial generalized linear mixed model to investigate the association between gun ownership rate, as measured by a proxy (i.e., the proportion of suicides committed with firearms to total suicides), and population-adjusted rates of mass shooting incidents and fatalities at the state level from 2013 to 2022. Gun ownership was found to be significantly associated with the rate of mass shooting fatalities. Specifically, our model indicated that for every 1-SD increase-that is, for every 12.5% increase-in gun ownership, the rate of mass shooting fatalities increased by 34% (p value < 0.001). However, no significant association was found between gun ownership and rate of mass shooting incidents. These findings suggest that restricting gun ownership (and therefore reducing availability to guns) may not decrease the number of mass shooting events, but it may save lives when these events occur.

Association of longitudinal pet ownership with wheezing in 3-year-old children using the distributed lag model: the Japan Environment and Children's Study.

BACKGROUND: Time-varying exposures like pet ownership pose challenges for identifying critical windows due to multicollinearity when modeled simultaneously. The Distributed Lag Model (DLM) estimates critical windows for time-varying exposures, which are mainly continuous variables. However, applying complex functions such as high-order splines and nonlinear functions within DLMs may not be suitable for situations with limited time points or binary exposure, such as in questionnaire surveys. OBJECTIVES: (1) We examined the estimation performance of a simple DLM with fractional polynomial function for time-varying binary exposures through simulation experiments. (2) We evaluated the impact of pet ownership on childhood wheezing onset and estimate critical windows. METHODS: (1) We compared logistic regression including time-varying exposure in separate models, in one model simultaneously, and using DLM. For evaluation, we employed bias, empirical standard error (EmpSE), and mean squared error (MSE). (2) The Japan Environment and Children's Study (JECS) is a prospective birth cohort study of approximately 100,000 parent-child pairs, registered across Japan from 2011 to 2014. We applied DLM to the JECS data up to age 3. The estimated odds ratios (OR) were considered to be within critical windows when they were significant at the 5% level. RESULTS: (1) DLM and the separate model exhibited lower bias compared to the simultaneously model. Additionally, both DLM and the simultaneously model demonstrated lower EmpSEs than the separate model. In all scenarios, DLM had lower MSEs than the other methods. Specifically, where critical windows is clearly present and exposure correlation is high, DLM showed MSEs about 1/2 to 1/200 of those of other models. (2) Application of DLM to the JECS data showed that, unlike other models, a significant exposure effect was observed only between the ages of 0 and 6 months. During that periods, the highest ORs were 1.07 (95% confidence interval, 1.01 to 1.14) , observed between the ages of 2 and 5 months. CONCLUSIONS: (1) A simple DLM improves the accuracy of exposure effect and critical windows estimation. (2) 0-6 months may be the critical windows for the effect of pet ownership on the wheezing onset at 3 years.

Firearm-Related Juvenile Death Rates Correlate With Gun Ownership Rates, Measures of Guns in Circulation, and Leniency of Existing Firearm Laws Among U.S. States.

INTRODUCTION: Firearms now represent the leading cause of death in U.S. children. Therefore, this study aimed to determine if state-level rates of gun ownership, guns in circulation, and strictness of firearm-related laws are related to firearm-related mortality among both juveniles and overall populations. MATERIALS AND METHODS: State firearm mortality rates among the juvenile and overall populations were obtained from 2010 to 2020. The number of weapons registered with the Bureau of Alcohol, Tobacco, Firearms, and Explosives (ATF) and federal firearms licensees for each state were also recorded. Giffords Law Center Scorecard Rankings, a relative measure of the restrictiveness of each state's gun laws, were also collected. Unadjusted linear regressions modeled the relationships between firearm-associated mortality and ATF-registered weapons, federal firearm licensees, Giffords Center rankings, and gun ownership rates. Multivariable (adjusted) analyses were performed to control for poverty, unemployment, and poor mental health. RESULTS: Unadjusted analyses demonstrated that higher gun ownership rates and more lenient gun laws were associated with increased firearm-associated mortality among juveniles. Similarly, these measures as well as increased ATF-registered weapons and ATF federal firearm licensees were associated with increased firearm mortality in the overall population. In the adjusted analyses, more ATF-registered weapons, more ATF federal firearm licensees, higher gun ownership rates, and more lenient firearm laws were associated with increased firearm-related mortality in the overall population, while increased gun ownership and higher Giffords Center rankings were associated with increased firearm-associated mortality in the pediatric population. CONCLUSIONS: To reduce the toll of gun violence in the United States, policymakers should focus on implementing more restrictive firearm laws and reducing the prevalence of guns in their communities.

How mixed ownership affects investment efficiency? evidence from state-owned enterprises in China.

The inefficiency observed in investment within state-owned enterprises presents a significant practical challenge that can affect the sustainable development of China's economy. To address this issue, this study comprehensively explores the intricate mechanisms underlying the governance implications of mixed ownership on the investment efficiency of listed companies. Drawing on unbalanced panel data encompassing Shanghai and Shenzhen Stock Exchange A-share listed companies in China spanning the period from 2008 to 2022, this study employs a fixed-effects model to unveil the nuanced ways in which mixed ownership influences investment efficiency through the lens of agency costs. This study transcends the boundaries of traditional agency conflicts between managers and shareholders. It delves deeper, illuminating the diverse effects of agency conflicts between significant controlling shareholders and minority shareholders. The results revealed a noteworthy positive correlation between mixed ownership and investment efficiency, and verified the intermediary role of agency costs between mixed ownership and investment efficiency, which is an important result of our research. Heterogeneity analysis indicates that the relationship between the two can be affected by external events, such as during the COVID-19 pandemic, investment efficiency is not the most concerned issue for enterprises. The findings have practical implications for practitioners and policymakers, as they offer avenues for optimizing investment strategies and fostering efficient and effective corporate governance practices.

A pilot study of a joint outdoor exercise program for dog owners and dogs.

Increasing levels of physical inactivity is a global burden for mankind and is also an emerging problem in companion dogs. In both humans and dogs, insufficient physical activity is associated with increased risk for noncommunicable diseases and impaired quality of life (QoL). The aim of the current pilot study was to evaluate effects of a joint outdoor exercise program for dog owners (n = 22) and dogs (n = 22) with focus on QoL and body measurements. Results indicate that an eight-week exercise intervention alone, with a target distance of at least 2 km twice a week, may be sufficient to significantly increase self-reported QoL and acceptance of bodily appearance in dog owners despite no reductions in body measurements. In dogs, a significantly reduced body condition score (BCS) was registered, despite no considerable changes in feeding. The increased owner motivation for continued joint exercise suggests potential for lifestyle changes, which could be investigated in future studies including control groups and long-term follow-ups. The importance of the human-animal bond as a success factor for increased mutual physical activity and health benefits in both dog owners and dogs is recommended to be studied in a more in-depth manner.

Translating, adapting, and validating the medical student version of the patient care ownership scale for use in Japan.

BACKGROUND: Patient care ownership (PCO) among medical students is a growing area in the field of medical education. While PCO has received increasing attention, there are no instruments to assess PCO in the context of Japanese undergraduate medical education. This study aimed to translate, culturally adapt, and validate the PCO Scale - Medical students (PCOS-S) in the Japanese context. METHODS: We collected survey data from fifth- and sixth-grade medical students from five different universities varying in location and type. Structural validity, convergent validity, and internal consistency reliability were examined. RESULTS: Data from 122 respondents were analyzed. Factor analysis of the Japanese PCOS-S revealed three factors with Cronbach's alpha values exceeding the satisfactory criterion (0.70). A positive correlation was observed between the total Japanese PCOS-S scores and the global rating scores for the clinical department as a learning environment (Pearson's correlation coefficient = 0.61). CONCLUSIONS: We conducted the translation of the PCOS-S into Japanese and assessed its psychometric properties. The Japanese version has good reliability and validity. This instrument has potential value in assessing the development of medical students' PCO.

A Trigger Warning: Red Flag Laws are Still Constitutionally Permissible and Could Reduce the Suicide Rates in the Country's Most Vulnerable States.

Montana, Alaska, and Wyoming lead the United States in a category coveted by no one: the suicide rate. Firearm ownership drives the rate to the disproportionate level it reaches year after year and the states are left with little recourse. This article argues the usefulness and constitutionality of narrowly tailored red-flag laws aimed exclusively at reducing the rate of suicide in these mountain states. The article follows Supreme Court jurisprudence leading up to New York Rifle and Pistol Association v. Bruen and offers an analysis that complies with the hyper textualist history and tradition test laid out by Scalia in District of Columbia v. Heller and McDonald v. City of Chicago. The analysis demonstrates that narrowly tailored red flag laws are a constitutional means of reducing the suicide rate in these at-risk states and references statutory and cultural avenues for the implementation of the legislation.

Carbon consciousness: The influence of CEO ownership.

Building on prior research on managerial ownership and firm performance, this study is the first to link CEO ownership to carbon commitment. We examine if firms led by CEOs with substantial ownership are more or less inclined to prioritise reducing carbon emissions than those without such ownership. We find that higher CEO ownership is associated with a lower carbon commitment, indicating that CEOs with more significant ownership do not prioritise carbon emissions reduction. However, we notice an inverted U-shaped relationship. Particularly, moderate CEO ownership (between 5% and 10% of total shares) has the stronger impact. The results are robust to alternative measures and approaches. The study provides empirical evidence on how CEO ownership can influence corporate carbon commitment and contribute to the global fight against climate change.

Examining facilitative services for entry into substance use disorder treatment: A cluster analysis of treatment facilities.

OBJECTIVES: We examined services to facilitate access to entering substance use disorder (SUD) treatment among a national sample of SUD treatment facilities. METHODS: We analyzed data from the National Survey of Substance Abuse Treatment Services (N-SSATS) 2020. Facilities were included in the sample based on criteria such as SUD treatment provision and being in the U.S. Cluster analysis was conducted using variables including ownership, levels of care, and whether facilities provide services or accept payment options aimed at reducing treatment barriers. National and state-level data on the percentage of facilities in each cluster were presented. RESULTS: Among N = 15,788 SUD treatment facilities four distinct clusters were identified: Cluster 1 consisted of for-profit and government outpatient facilities with high proportions of services to reduce barriers (22.2%). Cluster 2, comprised of non-profit outpatient facilities, offered the most comprehensive array of services to minimize barriers to treatment among all four clusters (25.2%). Cluster 3 included facilities with diverse ownership and care levels and provided a moderate to high degree of services aimed at reducing entry barriers to treatment (26.0%). Cluster 4 was primarily for-profit outpatient facilities with a low proportion of these services (26.6%). CONCLUSIONS: This study revealed facility-level groupings with different services to reduce barriers to SUD treatment across various clusters of SUD treatment facilities. While some facilities offered extensive services, others provided fewer. Differences in cluster distributions point to possible facilitators to treatment access for some persons seeking admission to specific treatment facilities. Efforts should be made to ensure that individuals seeking SUD treatment can access these services, and facilities should be adequately equipped to meet their diverse needs.

Homeownership Matters: Impact of Homeownership on the Prevalence of Chronic Health Conditions in the United States.

Introduction: Homeownership is crucial for stability and healthy life. We examined the role of homeownership in predicting the prevalence of common chronic health conditions in the United States. Methods: We used 2020 Behavioral Risk Factor Surveillance System data (N = 401,958) to assess the association between homeownership and self-reported diagnosed diabetes, asthma, cancer, coronary heart disease (CHD), stroke, and kidney disease. We analyzed data by using logistic regression, adjusting for age, sex, race and ethnicity, education, employment, and income and computed odds ratios (ORs) and corresponding 95% CIs. Results: Most survey participants (66.8%) owned their residences. Age, marital status, education, and income significantly influenced homeownership. Odds of homeownership progressively increased with age, reaching a peak at 17.45 (95% CI, 16.21-18.79) for adults aged 65 years or older, and non-Hispanic White adults had the highest odds (OR = 3.34; 95% CI, 3.18-3.52). Compared with renters, homeowners generally had lower prevalence of chronic health conditions, especially among those aged 45 to 64 years. After adjusting for age, sex, and race and ethnicity, the odds of having chronic health conditions among renters were higher than those of homeowners: CHD, 1.39 (1.27-1.52); diabetes, 1.27 (1.20-1.35); asthma, 1.29 (1.23-1.36); stroke, 1.89 (1.71-2.09); and kidney disease, 1.59 (1.44-1.77). Conclusion: Homeownership can be used to predict the prevalence of several chronic health conditions. Considering its significant influence, public health initiatives should focus on housing-related interventions to improve population health.