In this essay, we advocate that the issue of health data ethics should no longer be considered on the level of individual scientists or research labs, but rather as a problem involving all stakeholders, from publishers, funders, ethical committees to governments, for the sake of research integrity.

Objective: The aim of this study was to compare the cervical posture, sleep quality, and perceived health risk of technology-addicted adolescents, young adults and their controls. -/- Methods: Adolescents and young-adults participants (n=160) were divided into four groups as addicted and non-addicted according to their age and Technology Addiction Scale scores. Cervical posture assessments were obtained by photographic analysis. Craniovertebral (CVA), craniohorizontal (CHA) and sagittal shoulder angle (SSA) values were recorded. Sleep quality was assessed with the Pittsburg Sleep (...) Quality Scale. Participants' Perceived Health Risk was evaluated with a single-item, five-point Likert questionnaire. -/- Results: The addicted participants had worse CVA than both their controls (p=0.000). Participants' CHA and SSA angles were similar in addicted groups (p=0.710 and p=0.612, respectively). Addicted adolescents had worse sleep quality than addicted young-adults (p=0.005). Perceived Health Risk is low level in all groups and there were no significant differences (p=0.055). -/- Conclusion: Technology addiction affects the adolescent group more negatively than the young-adults. In the sample of adolescents and young-adults, individuals did not perceive excessive use of technological tools as a risk factor for their health. The degradation of CVA due to overuse of technological tools precedes the degradation of CHA and SSA. This can be explained by the fact that CVA is a more general angle that includes both the head- neck position and the vertebrae. It is necessary for public health and future health expenditures to educate and raise awareness of the more vulnerable adolescent group. (shrink)

Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the (...) following sectors: education, employment, financial services, social media, and the digital well-being industry. We analyse the ethical risks of deploying digital psychiatry in these sectors, emphasising key problems and opportunities for public health, and offer recommendations for protecting and promoting public health and well-being in information societies. (shrink)

In this paper, I sound a warning note about the medicalization of risk conditions such as high cholesterol, especially in a health care climate of resource scarcity.

The adoption of AI in the health sector has its share of benefits and harms to various stakeholder groups and entities. There are critical risks involved in using AI systems in the health domain; risks that can have severe, irreversible, and life-changing impacts on people’s lives. With the development of innovative AI-based applications in the medical and healthcare sectors, new types of risks emerge. To benefit from novel AI applications in this domain, the risks need to be managed (...) in order to protect the fundamental interests and rights of those affected. This will increase the level to which these systems become ethically acceptable, legally permissible, and socially sustainable. In this paper, we first discuss the necessity of AI risk management in the health domain from the ethical, legal, and societal perspectives. We then present a taxonomy of risks associated with the use of AI systems in the health domain called HART. HART mirrors the risks of a variety of different real-world incidents caused by use of AI in the health sector. Lastly, we discuss the implications of the taxonomy for different stakeholder groups and further research. (shrink)

Risk communication has been generally categorized as a warning act, which is performed in order to prevent or minimize risk. On the other side, risk analysis has also underscored the role played by information in reducing uncertainty about risk. In both approaches the safety aspects related to the protection of the right to health are on focus. However, it seems that there are cases where a risk cannot possibly be avoided or uncertainty reduced, this (...) is for instance valid for the declaration of side effects associated with pharmaceutical products or when a decision about drug approval or retirement must be delivered on the available evidence. In these cases, risk communication seems to accomplish other tasks than preventing risk or reducing uncertainty. The present paper analyzes the legal instruments which have been developed in order to control and manage the risks related to drugs – such as the notion of “development risk” or “residual risk” – and relates them to different kinds of uncertainty. These are conceptualized as epistemic, ecological, metric, ethical, and stochastic, depending on their nature. By referring to this taxonomy, different functions of pharmaceutical risk communication are identified and connected with the legal tools of uncertainty management. The purpose is to distinguish the different functions of risk communication and make explicit their different legal nature and implications. (shrink)

Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision (...) all reaching 97.23%. The model's success is attributed to its ability to effectively leverage attributes related to eating habits, physical condition, and demographic factors. Feature importance analysis reveals key factors contributing to accurate predictions. This paper contributes to the field of health analytics by demonstrating the effectiveness of Random Forest in predicting and categorizing health risks. The insights gained from this research have the potential to inform personalized health interventions and contribute to the advancement of precision health strategies. Furthermore, the study highlights the importance of leveraging machine learning techniques for health risk assessment in diverse populations. (shrink)

With the ascent of modern epidemiology in the Twentieth Century came a new standard model of prediction in public health and clinical medicine. In this article, we describe the structure of the model. The standard model uses epidemiological measures-most commonly, risk measures-to predict outcomes (prognosis) and effect sizes (treatment) in a patient population that can then be transformed into probabilities for individual patients. In the first step, a risk measure in a study population is generalized or extrapolated (...) to a target population. In the second step, the risk measure is particularized or transformed to yield probabilistic information relevant to a patient from the target population. Hence, we call the approach the Risk Generalization-Particularization (Risk GP) Model. There are serious problems at both stages, especially with the extent to which the required assumptions will hold and the extent to which we have evidence for the assumptions. Given that there are other models of prediction that use different assumptions, we should not inflexibly commit ourselves to one standard model. Instead, model pluralism should be standard in medical prediction. (shrink)

COVID-19 vaccination of children has begun in various high-income countries with regulatory approval and general public support, but largely without careful ethical consideration. This trend is expected to extend to other COVID-19 vaccines and lower ages as clinical trials progress. This paper provides an ethical analysis of COVID-19 vaccination of healthy children. Specifically, we argue that it is currently unclear whether routine COVID-19 vaccination of healthy children is ethically justified in most contexts, given the minimal direct benefit that COVID-19 vaccination (...) provides to children, the potential for rare risks to outweigh these benefits and undermine vaccine confidence, and substantial evidence that COVID-19 vaccination confers adequate protection to risk groups, such as older adults, without the need to vaccinate healthy children. We conclude that child COVID-19 vaccination in wealthy communities before adults in poor communities worldwide is ethically unacceptable and consider how policy deliberations might evolve in light of future developments. (shrink)

In this paper we aim to demonstrate the enormous ethical complexity that is prevalent in child obesity cases. This complexity, we argue, favors a cautious approach. Against those perhaps inclined to blame neglectful parents, we argue that laying the blame for child obesity at the feet of parents is simplistic once the broader context is taken into account. We also show that parents not only enjoy important relational prerogatives worth defending, but that children, too, are beneficiaries of that relationship in (...) ways difficult to match elsewhere. Finally, against the backdrop of growing public concern and pressure to intervene earlier in the life cycle, we examine the perhaps unintended stigmatizing effects that labeling and intervention can have and consider a number of risks and potential harms occasioned by state interventions in these cases. (shrink)

Anemia is a common health problem among Libyan women. Age, heavy menstruation, and pregnancy are vital risk factors for this problem. In this study, we prospectively examined 60 Libyan women all of which were diagnosed with iron deficiency anemia, their hemoglobin levels were less than 10.0 g/dl. The level of hemoglobin is also analyzed for vegetarian and charcoal-eating women. We found that during pregnancy charcoal-eating women exhibit lower hemoglobin levels than non-eating women. Pregnant young women in the age (...) of 17-27 years have the lowest hemoglobin levels than the other age groups. In addition, vegetarians, heavy coffee and tea drinking, and heavy menstruation in non-pregnant women, as well as breastfeeding, strongly lower hemoglobin levels as measured by their complete blood count. (shrink)

Powerful, technically complex international compliance regimes have developed recently in certain professions that deal with risk: banking (the Basel II regime), accountancy (IFRS) and the actuarial profession. The need to deal with major risks has acted as a strong driver of international co-operation to create enforceable international semilegal systems, as happened earlier in such fields as international health regulations. This regulation in technical fields contrasts with the failure of an international general-purpose political and legal regime to develop. We (...) survey the new global regulatory systems in the actuarial, banking and accounting fields, with a view to showing how the need to deal reasonably with risk has resulted in an international de facto law solidly based on correct abstract principles of probability. (shrink)

At the core of medicine is the idea to help fellow human beings by improving or even restoring their health. Let us call this the auxiliary stance of medicine—the motivation of medical intervention by reference to a moral obligation to guide our peers in their attempt to live a healthy and productive life. In parallel, the auxiliary stance is also central to public health, with a focus on prevention and health promotion. Taken together, we can view medicine (...) and public health as the two main human auxiliary endeavors to protect individuals and populations from health risks and help them to heal when sick. (shrink)

The continuous growth of healthcare data has made it essential to develop efficient systems that not only alert healthcare providers but also visualize patient data in a comprehensible way. This study introduces a Health Alert System integrated with Report Visualization powered by Data Analytics to improve patient monitoring and alerting mechanisms. By leveraging real-time data from wearable sensors and hospital records, the system generates health alerts based on deviations from normal parameters. The proposed system combines predictive analytics and (...) historical data to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. This approach significantly enhances patient care by minimizing delays in response and improving overall health outcomes. The system's architecture, based on big data frameworks, supports scalable and efficient data processing. The study demonstrates how the integration of predictive models and data visualization tools can revolutionize health alert systems, making them more responsive and adaptive to individual patient needs. Future enhancements will focus on incorporating machine learning models for more personalized predictions and extending the system's capabilities to remote patient care. (shrink)

The continuous growth of healthcare data has made it essential to develop efficient systems that not only alert healthcare providers but also visualize patient data in a comprehensible way. This study introduces a Health Alert System integrated with Report Visualization powered by Data Analytics to improve patient monitoring and alerting mechanisms. By leveraging real-time data from wearable sensors and hospital records, the system generates health alerts based on deviations from normal parameters. The proposed system combines predictive analytics and (...) historical data to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. This approach significantly enhances patient care by minimizing delays in response and improving overall health outcomes. The system's architecture, based on big data frameworks, supports scalable and efficient data processing. The study demonstrates how the integration of predictive models and data visualization tools can revolutionize health alert systems, making them more responsive and adaptive to individual patient needs. Future enhancements will focus on incorporating machine learning models for more personalized predictions and extending the system's capabilities to remote patient care. (shrink)

The primary responsibility of the US Food and Drug Administration is to protect public health by ensuring the safety of the food supply. To that end, it sometimes conducts risk assessments of novel food products, such as genetically modified food. The FDA describes its regulatory review of GM food as a purely scientific activity, untainted by any normative considerations. This paper provides evidence that the regulatory agency is not justified in making that claim. It is argued that the (...) FDA’s policy stance on GM food is shaped by neoliberal considerations. The agency’s review of a genetically engineered animal, the AquAdvantage salmon, is used as a case study to track the influence of neoliberalism on its regulatory review protocol. After that, an epistemic argument justifying public engagement in the risk assessment of new GM food is outlined. It is because risk evaluations involve normative judgments, in a democracy, layperson representatives of informal epistemic communities that could be affected by a new GM food should have the opportunity to decide the ethical, political or other normative questions that arise during the regulatory review of that entity. (shrink)

Can we identify potential long-term consequences of digitalisation on public health? Environmental studies, metabolic research, and state of the art research in neurobiology point towards the reduced amount of natural day and sunlight exposure of the developing child, as a consequence of increasingly long hours spent indoors online, as the single unifying source of a whole set of health risks identified worldwide, as is made clear in this review of currently available literature. Over exposure to digital environments, from (...) abuse to addiction, now concerns even the youngest (ages 0 to 2) and triggers, as argued on the basis of clear examples herein, a chain of interdependent negative and potentially long-term metabolic changes. This leads to a deregulation of the serotonin and dopamine neurotransmitter pathways in the developing brain, currently associated with online activity abuse and/or internet addiction, and akin to that found in severe substance abuse syndromes. A general functional working model is proposed under the light of evidence brought to the forefront in this review. (shrink)

Psychological well-being is a major global concern receiving more scholarly attention following the 2008 Great Recession, and it becomes even more relevant in the context of COVID-19 outbreak. In this study, we investigated the impact of economic uncertainty resulting from natural disasters, epidemics, and financial crisis on individuals' mental health. As unemployment rate exponentially increases, individuals are faced with health and economic concerns. Not all society members are affected to the same extent, and marginalized groups, such as those (...) suffering from chronic mental illnesses or low-income families cannot afford the downsizing, mass lay-offs and lack of access to public health services. Psychiatric profession is familiarized with the phenomenon of intolerance of uncertainty (IU), and we examine how this concept is associated with job uncertainty and social identity disturbance. Several studies have formally investigated the effects of IU, but to our knowledge, this is the first research integrating the psychological well-being, job uncertainty and identity disturbance caused by economic breakdown. Literature points to many reported cases of PTSD, anxiety, depression and suicidal tendencies following major social disasters. Yet, we have undertaken to analyze the subjective experiences underlying the self-harming behaviors in an attempt to fill the methodological gap by drawing insights from prominent psychological, sociological and economic theories. We find economic uncertainty to have a positive relation to job uncertainty and identity disturbance, and a negative relationship with psychological well-being. Psychological well-being depends on coherency between both abstract subjective and concrete objective identity, and when these perceptions are inconsistent, cognitive dissonance arises resulting in identity disturbance. We argue that stability is not associated with monetary advantage only, but also with a wide range of other benefits that are crucial for individuals' growth, satisfaction and sense of identity. Therefore, we propose the implementation of social support and public welfare policies to mitigate health risks during the turbulent socio-economic changes. (shrink)

Imagine you fly home from vacation with your one-and-a-half-year-old son who is traveling for free as a “lap child.” In the airport parking lot, you put him into his forward-facing car seat, where he sits much more contentedly than he did in the rear-facing one that was mandatory until his first birthday. After he falls asleep on the way home, you transfer him to his crib without waking him, lowering the side rail so you can lift him in more easily. (...) -/- Many parts of this idyllic parenting picture are deemed unacceptably risky according to recent child safety proposals. While these proposals all aim to improve child safety, their possible impact is unclear because there has been little discussion of the absolute risk and risk reduction involved in each. And while precise figures are lacking, rough estimates indicate that the magnitudes are quite small. I will argue that this risk and benefit data raises important questions about the proposals, including whether parents might reasonably believe that the small absolute risk reduction offered by the proposed changes does not justify the attendant burdens. This possibility—termed the “prevention paradox” in other contexts—highlights ethical and theoretical challenges in this area of public health. (shrink)

Digital Health Tools (DHTs), also known as patient self-surveilling strategies, have increasingly been promoted by health-care policy makers as technologies that have the capacity to transform patients’ lives. At the heart of the debate is the notion of empowerment. In this paper, we argue that what is required is not so much empowerment but rather a shift to enabling DHTs as digital companions. This will enable policy makers and health-care system designers to provide a more balanced view—one (...) that capitalises on the benefits of DHTs, while minimising the risks of potential harms. -/- . (shrink)

This volume bridges contemporary philosophical conceptions of risk and responsibility and offers an extensive examination of the topic. It shows that risk and responsibility combine in ways that give rise to new philosophical questions and problems. Philosophical interest in the relationship between risk and responsibility continues to rise, due in no small part due to environmental crises, emerging technologies, legal developments, and new medical advances. Despite such interest, scholars are just now working out how to conceive of (...) the links between risk and responsibility, the implications that risks may have to conceptions of responsibility (and vice versa), as well as how such theorizing might play out in applied cases. With contributions from leading scholars, this volume brings together new work examining the interplay between risk and responsibility, exploring its varied philosophical aspects and applications to contemporary issues in law, bioethics, technology, and environmental ethics. Risk and Responsibility in Context will be of interest to philosophers working in ethics, bioethics, philosophy of law, and philosophy of technology, as well as scholars and practitioners in law, health and science management, public policy, and environmental studies. (shrink)

In this article we argue that the social value of health research should be conceptualized as a function of both the expected benefits of the research and the priority that the beneficiaries deserve. People deserve greater priority the worse off they are. This conception of social value can be applied for at least two important purposes: in health research priority setting when research funders, policy-makers, or researchers decide between alternative research projects; and in evaluating the ethics of proposed (...) research proposals when research ethics committees assess whether the social value of the research is sufficient to justify the risks and burdens to research participants and others. In assessing how far a proposed research project will advance the interests of people who are more disadvantaged, research priority setters and RECs should examine the diseases that the research targets and the type of research. Just as certain diseases impose a greater burden on people who are more disadvantaged, so certain types of intervention and forms of research are more likely to benefit people who are more disadvantaged. We outline which populations are likely to be representative of the global worst off and identify what types of health research, and which disease categories, are priorities for these populations. (shrink)

The major objective of this study was to investigate whether visual impairments (VI) impact mental health literacy among first-generation university students (FGUS). A descriptive survey research method was used to examine the mental health literacy of 132 purposive sample of FGUS with and without VI from three federal universities in Southern Nigeria. A 35-item MHL Scale (MHLS) for university students (Crobach’s α=0.83) with 5-point response was used for data collection. Questionnaire distribution was achieved through the help of two (...) research assistants. Means, standard deviations, analysis of variance and regression plot were employed to analyze the research data. Participants’ mean age was 24.96±3.86 years. Results showed a higher level of mental health literacy across seven domains of the MHL Scale among students with VI compared to those without this disability. The students identified mental health literacy they possess including the ability to recognize specific disorders, the ability to seek mental health information, the ability to identify risk factors and causes, the ability to understand self-treatment options, the ability to access professional assistance, and positive behaviors that promote awareness and help-seeking. VI did not significantly impact the mental health literacy of FGUS with VI. VI explained only 6.31% of the variation in MHL among FGUS with VI. Accordingly, mental health literacy is an essential skill that should be acquired by everyone, including those who suffer from specific disorders and professionals who care for them. Further effort is required in order to improve the mental literacy of FGUS without VI in Nigerian universities. (shrink)

Audience segmentation is necessary in health communications to ensure equitable resource distribution. Peer crowds, which are macro-level teen subcultures, are effective psychographic segments for health communications because each crowd has unique mindsets, values, norms, and health behavior profiles. These mindsets affect behaviors, and can be used to develop targeted health communication campaigns to reach those in greatest need. Though peer crowd research is plentiful, no existing peer crowd measurement tool has been formally validated. As such, we (...) developed and validated Virginia's Mindset Lens Survey (V-MLS), a mindset-based teen peer crowd segmentation survey to support health communication efforts. Using an online convenience sample of teens (N = 1,113), we assessed convergent and discriminant validity by comparing the V-MLS against an existing, widely-used peer crowd survey (I-Base Survey®) utilizing a multi-trait multi-method matrix. (shrink)

Environmental health research produces scientific knowledge about environmental hazards crucial for public health and environmental justice movements that seek to prevent or reduce exposure to these hazards. The environment in environmental health research is conceptualized as the range of possible social, biological, chemical, and/or physical hazards or risks to human health, some of which merit study due to factors such as their probability and severity, the feasibility of their remediation, and injustice in their distribution. This paper (...) explores the ethics of identifying the relevant environment for environmental health research, as judgments involved in defining an environmental hazard or risk, judgments of that hazard or risk's probability, severity, and/ or injustice, as well as the feasibility of its remediation, all ought to appeal to non-epistemic as well as epistemic values. I illustrate by discussing the case of environmental lead, a housing-related hazard that remains unjustly distributed by race and class and is particularly dangerous to children. Examining a controversy in environmental health research ethics where researchers tested multiple levels of lead abatement in lead-contaminated households, I argue that the broader perspective on the ethics of environmental health research provided in the first part of this paper may have helped prevent this controversy. (shrink)

The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related Internet of Things (H-IoT) increasingly plays a key role in health management by providing real-time tele-monitoring of patients, testing of treatments, actuation of medical devices, and fitness and well-being monitoring. Given its numerous applications and proposed benefits, adoption by medical and social care institutions and (...) consumers may be rapid. However, a host of ethical concerns are also raised that must be addressed. The inherent sensitivity of health-related data being generated and latent risks of Internet-enabled devices pose serious challenges. Users, already in a vulnerable position as patients, face a seemingly impossible task to retain control over their data due to the scale, scope and complexity of systems that create, aggregate, and analyse personal health data. In response, the H-IoT must be designed to be technologically robust and scientifically reliable, while also remaining ethically responsible, trustworthy, and respectful of user rights and interests. To assist developers of the H-IoT, this paper describes nine principles and nine guidelines for ethical design of H-IoT devices and data protocols. (shrink)

In Western societies many immigrants live in difficult social and working conditions. Together with other factors, this state of affairs represents a risk for the well being of their children. This article will consider the principle risk factors for child psychopathology and/or distress, with a distinction between temporary and permanent factors and with a peculiar attention to the interplay between risk and protective factors. Risk factors can be ordered in cultural, social, familiar/parental and individual factors. Some (...) of these are general risk factors, applying to child and adolescent psychopathology and distress independently from the status of immigrants’ offspring. Other factors are specific of migration, some of them being related to: a) different ways of immigrated families to situate themselves within the host society ; b) cultural/familiar attitudes in child’s nurture and education; c) the family role of women as well as factors specific of the pregnancy period in immigrants; d) the ability of the school system to enhance and support children’s abilities to integrate within the new society; e) the political/bureaucratic facilitation/impediment to the regularization of VISA, with the consequent effect on the sense of identity/rejection within/from the host society. In conclusion, the programs for monitoring immigrants’ living and health conditions should also include: the assessment of parental skills, the dynamic indicators of risk and protection indexes, the assessment of living conditions and social school environment, with a careful attention to those early signs of discomfort that might precede possible later onset of psychopathology and/or social distress. (shrink)

A lively topic of debate in decision theory over recent years concerns our understanding of the different risk attitudes exhibited by decision makers. There is ample evidence that risk-averse and risk-seeking behaviours are widespread, and a growing consensus that such behaviour is rationally permissible. In the context of clinical medicine, this matter is complicated by the fact that healthcare professionals must often make choices for the benefit of their patients, but the norms of rational choice are conventionally (...) grounded in a decision maker’s own desires, beliefs and actions. The presence of both doctor and patient raises the question of whose risk attitude matters for the choice at hand and what to do when these diverge. Must doctors make risky choices when treating risk-seeking patients? Ought they to be risk averse in general when choosing on behalf of others? In this paper, I will argue that healthcare professionals ought to adopt a deferential approach, whereby it is the risk attitude of the patient that matters in medical decision making. I will show how familiar arguments for widely held anti-paternalistic views about medicine can be straightforwardly extended to include not only patients’ evaluations of possible health states, but also their attitudes to risk. However, I will also show that this deferential view needs further refinement: patients’ higher-order attitudes towards their risk attitudes must be considered in order to avoid some counterexamples and to accommodate different views about what sort of attitudes risk attitudes actually are. (shrink)

The proposed system combines predictive analytics and historical data to flag potential emergencies before they occur. The visual analytics platform provides comprehensive reports to healthcare providers, enabling them to monitor trends, identify risk factors, and make informed decisions. This approach significantly enhances patient care by minimizing delays in response and improving overall health outcomes. The system's architecture, based on big data frameworks, supports scalable and efficient data processing. The study demonstrates how the integration of predictive models and data (...) visualization tools can revolutionize health alert systems, making them more responsive and adaptive to individual patient needs. Future enhancements will focus on incorporating machine learning models for more personalized predictions and extending the system's capabilities to remote patient care. (shrink)

Aim: Low professional help-seeking intention (PHSI) hinders effective treatment of mental illness. PHSI among Chinese students is still understudied and under-recognized. This study aimed to evaluate the status of PHSI and its associated risk factors among Chinese medical students. -/- Methods: A cross-sectional survey was conducted in Hainan province, South China, between January 1, 2021, and May 31, 2021. A total of 2182 medical students were recruited and surveyed via an anonymous structured questionnaire. Logistic regression analyses were performed to (...) identify the factors associated with PHSI. -/- Results: Among the 2182 medical students (mean age 21.0 years (SD = 3.70), 61.5% females), those with and without PHSI were 72.0% and 28.0%, and 16.4% with moderate to severe depression. Male students, those with a high level of depression stigma, serious family dysfunction, and heavy dependence on mobile phones were significantly less likely to seek professional mental health help, with odds ratios (ORs) of 1.5, 2.0, 2.1, and 1.7, respectively. -/- Conclusion: A significant proportion of Chinese medical students demonstrate low PHSI, influenced by factors such as gender, depression stigma, family dysfunction, and mobile phone dependence. Future interventions aimed at increasing medical students’ PHSI should prioritize reducing depression stigma, mitigating reliance on mobile phone use, and enhancing family function to address these key barriers to seeking professional mental health support. (shrink)

The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data (...) collection. H-IoT promises many benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT. (shrink)

Receiving information about threats to one’s health can contribute to anxiety and depression. In contemporary medical ethics there is considerable consensus that patient autonomy, or the patient’s right to know, in most cases outweighs these negative effects of information. Worry about the detrimental effects of information has, however, been voiced in relation to public health more generally. In particular, information about uncertain threats to public health, from—for example, chemicals—are said to entail social costs that have not been (...) given due consideration. This criticism implies a consequentialist argument for withholding such information from the public in their own best interest. In evaluating the argument for this kind of epistemic paternalism, the consequences of making information available must be compared to the consequences of withholding it. Consequences that should be considered include epistemic effects, psychological effects, effects on private decisions, and effects on political decisions. After giving due consideration to the possible uses of uncertain information and rebutting the claims that uncertainties imply small risks and that they are especially prone to entail misunderstandings and anxiety, it is concluded that there is a strong case against withholding of information about uncertain threats to public health. (shrink)

This chapter explores two questions in detail: How should we determine the threshold for costs that individuals are asked to bear through insurance premiums or care-related out-of-pocket costs, including user fees and copayments? and What is an adequate relationship between costs and benefits? This chapter argues that preventing impoverishment is a morally more urgent priority than protecting households against income fluctuations, and that many health insurance plans may not adequately protect individuals from health care costs that threaten to (...) drop their financial status below a decent minimum. A design that places greater emphasis on preventing impoverishment and finances the achievement of that goal by reducing unnecessary subsidies to better-off households would better accord with a sufficientarian approach to health care. -/- . (shrink)

Postpartum depression is a major maternal health problem after childbirth. It can start at any time within the first year after delivery and continue for several years. It is characterized by an inability to experience pleasure, anxiety symptoms, panic attacks, spontaneous crying and depressed mood. Some women with postpartum depression even have thoughts of harming their child and self-harm. This study aims to find out the status of postpartum depression and the associated factors among postnatal mothers at the first, (...) fourth and sixth month. This study is a prospective descriptive study, carried out in three major health facilities in Misurata. This study consists of a three-part questionnaire. Part 1 covers the demographic characteristics of the participants, while Part 2 explores the associated risk factors according to the variables used. Part 3 consists of the psychological evaluation of the participants. A hundred mothers (ages between 15 and 43 years) were enrolled in this study. The findings revealed that the prevalence of depression is 60.0% and 22.0% are suffering from borderline depression. Development of depression was strongly correlated with sleeping disturbances, the state of the neonate after birth, excess consumption of stimulants, less weight acceptance by mothers during pregnancy and infant illness. There was a weak relation between depression and delivery state, maternal admission to the hospital during the current pregnancy, and infant gender dissatisfaction. No correlation was found with the development of depression regarding miscarriage, maternal medical problems after delivery, previous child sex, maternal age, education, parity or neonate weight. Thus, this study shows that the chance of having a miscarriage and an unhealthy neonate increases with advanced maternal age. It also shows that caesarean section is associated with bad neonatal outcomes, more weight gain and having gestational diabetes or preeclampsia during pregnancy. Maternal sleeping problems are more pronounced in the first month, attributed to the baby's care, compared with the fourth and sixth months. The study indicates that depression is a common state of psychiatric disorders among Libyan women and should have appropriate attention by physicians and gynecologists. (shrink)

Postpartum depression is a major maternal health problem after childbirth. It can start at any time within the first year after delivery and continue for several years. It is characterized by an inability to experience pleasure, anxiety symptoms, panic attacks, spontaneous crying and depressed mood. Some women with postpartum depression even have thoughts of harming their child and self-harm. This study aims to find out the status of postpartum depression and the associated factors among postnatal mothers at the first, (...) fourth and sixth month. This study is a prospective descriptive study, carried out in three major health facilities in Misurata. This study consists of a three-part questionnaire. Part 1 covers the demographic characteristics of the participants, while Part 2 explores the associated risk factors according to the variables used. Part 3 consists of the psychological evaluation of the participants. A hundred mothers (ages between 15 and 43 years) were enrolled in this study. The findings revealed that the prevalence of depression is 60.0% and 22.0% are suffering from borderline depression. Development of depression was strongly correlated with sleeping disturbances, the state of the neonate after birth, excess consumption of stimulants, less weight acceptance by mothers during pregnancy and infant illness. There was a weak relation between depression and delivery state, maternal admission to the hospital during the current pregnancy, and infant gender dissatisfaction. No correlation was found with the development of depression regarding miscarriage, maternal medical problems after delivery, previous child sex, maternal age, education, parity or neonate weight. Thus, this study shows that the chance of having a miscarriage and an unhealthy neonate increases with advanced maternal age. It also shows that caesarean section is associated with bad neonatal outcomes, more weight gain and having gestational diabetes or preeclampsia during pregnancy. Maternal sleeping problems are more pronounced in the first month, attributed to the baby's care, compared with the fourth and sixth months. The study indicates that depression is a common state of psychiatric disorders among Libyan women and should have appropriate attention by physicians and gynecologists. (shrink)

Abstract: The aim of the research is to identify the reality of the quality of health services in light of the Corona Pandemic, and in order to achieve the research objectives, the researchers used the descriptive and analytical approach using a comprehensive survey method for the total research community, whose number reached (110) individuals, while (90) were recovered: The level of health service quality is of relative weight (76%). Among the most important recommendations made by the research: Work (...) to pay a health risk premium to all workers in health centers, in addition to paying attention to training and building work teams in various fields to improve the quality of health services provided. (shrink)

Much of the discussion of the role of emerging technologies associated with AI, machine learning, digital simulacra, and relevant ethical considerations such as those discussed in the target article, take a relatively narrow and episodic view of a person’s healthcare needs. There is much speculation about diagnostic, treatment, and predictive applications but relatively little consideration of how such technologies might be used to address a person’s lived experience of illness and ongoing care needs. This is likely due to the greater (...) weight or priority given to acute care needs and the role of medical treatment in care provision, but it may also reflect the limitations of current technologies and our limited vision of their potential application. Such limitations are not surprising given that we are still grappling with the complexities and nuances of achieving the ethical and humanistic ideals of care, namely, care that addresses the hermeneutical, relational, contextual, temporal, and agential dimensions of a person’s health and wellbeing. (shrink)

To clarify the proper role of values in science, focusing on controversial expert responses to Covid-19, this article examines the status of (in)convenient hypotheses. Polarizing cases like health experts downplaying mask efficacy to save resources for healthcare workers, or scientists dismissing “accidental lab leak” hypotheses in view of potential xenophobia, plausibly involve modifying evidential standards for (in)convenient claims. Societies could accept that scientists handle (in)convenient claims just like nonscientists, and give experts less political power. Or societies could hold scientists (...) to a higher bar, by expecting them not to modify evidential standards to avoid costs only incidentally tied to error. (shrink)

Many healthcare practices expose people to risks of harmful outcomes. However, the major theories of moral philosophy struggle to assess whether, when and why it is ethically justifiable to expose individuals to risks, as opposed to actually harming them. Sven Ove Hansson has proposed an approach to the ethical assessment of risk imposition that encourages attention to factors including questions of justice in the distribution of advantage and risk, people’s acceptance or otherwise of risks, and the scope individuals (...) have to influence the practices that generate risk. This paper investigates the ethical justifiability of preventive healthcare practices that expose people to risks including overdiagnosis. We applied Hansson’s framework to three such practices: an ‘ideal’ breast screening service, a commercial personal genome testing service, and a guideline that lowers the diagnostic threshold for hypertension. The framework was challenging to apply, not least because healthcare has unclear boundaries and involves highly complex practices. Nonetheless, the framework encouraged attention to issues that would be widely recognised as morally pertinent. Our assessment supports the view that at least some preventive healthcare practices that impose risks including that of overdiagnosis are not ethically justifiable. Further work is however needed to develop and/or test refined assessment criteria and guidance for applying them. (shrink)

The rapid expansion of Big Tech companies into various societal domains (e.g., health, education, and agriculture) over the past decade has led to increasing concerns among governments, regulators, scholars, and civil society. While existing theoretical frameworks—often revolving around privacy and data protection, or market and platform power—have shed light on important aspects of Big Tech expansionism, there are other risks that these frameworks cannot fully capture. In response, this editorial proposes an alternative theoretical framework based on the notion of (...) sphere transgressions, which draws on political philosopher Michael Walzer's theory of justice. The editorial not only introduces the sphere transgressions framework, but it also highlights its potential to generate novel research questions. Furthermore, this editorial introduces eight articles and one commentary from a group of interdisciplinary scholars that critically examine Big Tech expansionism by reflecting on this expansionism from the perspective of different societal spheres or by engaging with the sphere transgressions framework itself. (shrink)

The aim of the research is to identify the reality of the practice of crisis management in light of The Corona Pandemic, and to achieve the research objectives, the researchers used the descriptive and analytical approach using the comprehensive survey method for the total research community, which numbered (110) individuals, while (90) were recovered: That the level of crisis management practice came with a relative weight (75.60%). Among the most important recommendations made by the research: Work to disburse a (...) class='Hi'>health risk premium to all workers in health centers, in addition to paying attention to training and building work teams in various fields, including the crisis team. (shrink)

The global pandemic of COVID 19 has changed consumer behaviour to reduce the risk. This is common for all interpersonal interactions of individuals especially in maintaining the recommended interpersonal distance based on the recommendations from the health experts. Sri Lanka as a developing country affected by COVID 19, observed changes in individuals' day today’ consumption decision making due to pandemic. Importantly the retailing sector is highly influenced by the conditions since the frequency of interpersonal interactions and degree of (...) interaction is higher in the retailing sector. Interestingly the retailing sector with its largest contributor, the SMEs need to identify the unique changes that happen to the consumer behaviour in responding to them. Accordingly, the objective of the study is to examine the impact of infectious disease risk on the perceived retail crowding in two perspectives of human density and the spatial density. The study has used a quantitative survey in collecting data with the online self-administrated questionnaire with a sample of 100 consumers. Data analysis has been done by using a PLS-SEM with the support of SmartPLS version 3. The key findings of the study emphasize the significant positive influence of infectious disease risk on human density as well as on the spatial density. Based on the findings the study attempts to provide the implications for the retailing industry to cope with situational changes in the environment. (shrink)

In recent years, genetically engineered (GE) mosquitoes have been proposed as a public health measure against the high incidence of mosquito-borne diseases among the poor in regions of the global South. While uncertainties as well as risks for humans and ecosystems are entailed by the open-release of GE mosquitoes, a powerful global health governance non-state organization is funding the development of and advocating the use of those bio-technologies as public health tools. In August 2016, the US Food (...) and Drug Agency (FDA) approved the uncaged field trial of a GE Aedes aegypti mosquito in Key Haven, Florida. The FDA’s decision was based on its assessment of the risks of the proposed experimental public health research project. The FDA is considered a global regulatory standard setter. So, its approval of the uncaged field trial could be used by proponents of GE mosquitoes to urge countries in the global South to permit the use of those bio-technologies. -/- From a public health ethics perspective, this paper evaluates the FDA’s 2016 risk assessment of the proposed uncaged field trial of the GE mosquito to determine whether it qualified as a realistic risk evaluation. -/- The FDA’s risk assessment of the proposed uncaged field trial did not proximate the conditions under which the GE mosquitoes would be used in regions of the global South where there is a high prevalence of mosquito-borne diseases. -/- Given that health and disease have political-economic determinants, whether a risk assessment of a product is realistic or not particularly matters with respect to interventions meant for public health problems that disproportionately impact socio-economically marginalized populations. If ineffective public health interventions are adopted based on risk evaluations that do not closely mirror the conditions under which those products would actually be used, there could be public health and ethical costs for those populations. (shrink)

The goal of achieving Universal Health Coverage (UHC) can generally be realized only in stages. Moreover, resource, capacity and political constraints mean governments often face difficult trade-offs on the path to UHC. In a 2014 report, Making fair choices on the path to UHC, the WHO Consultative Group on Equity and Universal Health Coverage articulated principles for making such trade-offs in an equitable manner. We present three case studies which illustrate how these principles can guide practical decision-making. These (...) case studies show how progressive realization of the right to health can be effectively guided by priority-setting principles, including generating the greatest total health gain, priority for the worse off, and financial risk protection. They also demonstrate the value of a fair and accountable process of priority setting. (shrink)

Background Previous analyses of democracy and population health have focused on broad measures, such as life expectancy at birth and child and infant mortality, and have shown some contradictory results. We used a panel of data spanning 170 countries to assess the association between democracy and cause-specific mortality and explore the pathways connecting democratic rule to health gains. -/- Methods We extracted cause-specific mortality and HIV-free life expectancy estimates from the Global Burden of Diseases, Injuries, and Risk (...) Factors Study 2016 and information on regime type from the Varieties of Democracy project. These data cover 170 countries and 46 years. From the Financing Global Health database, we extracted gross domestic product (GDP) per capita, also covering 46 years, and Development Assistance for Health estimates starting from 1990 and domestic health spending estimates starting from 1995. We used a diverse set of empirical methods—synthetic control, within-country variance decomposition, structural equation models, and fixed-effects regression—which together provide a robust analysis of the association between democratisation and population health. -/- Findings HIV-free life expectancy at age 15 years improved significantly during the study period (1970–2015) in countries after they transitioned to democracy, on average by 3% after 10 years. Democratic experience explains 22·27% of the variance in mortality within a country from cardiovascular diseases, 16·53% for tuberculosis, and 17·78% for transport injuries, and a smaller percentage for other diseases included in the study. For cardiovascular diseases, transport injuries, cancers, cirrhosis, and other non-communicable diseases, democratic experience explains more of the variation in mortality than GDP. Over the past 20 years, the average country's increase in democratic experience had direct and indirect effects on reducing mortality from cardiovascular disease (−9·64%, 95% CI −6·38 to −12·90), other non-communicable diseases (−9·14%, −4·26 to −14·02), and tuberculosis (−8·93%, −2·08 to −15·77). Increases in a country's democratic experience were not correlated with GDP per capita between 1995 and 2015 (ρ=–0·1036; p=0·1826), but were correlated with declines in mortality from cardiovascular disease (ρ=–0·3873; p<0·0001) and increases in government health spending (ρ=0·4002; p<0·0001). Removal of free and fair elections from the democratic experience variable resulted in loss of association with age-standardised mortality from non-communicable diseases and injuries. -/- Interpretation When enforced by free and fair elections, democracies are more likely than autocracies to lead to health gains for causes of mortality (eg, cardiovascular diseases and transport injuries) that have not been heavily targeted by foreign aid and require health-care delivery infrastructure. International health agencies and donors might increasingly need to consider the implications of regime type in their efforts to maximise health gains, particularly in the context of ageing populations and the growing burden of non-communicable diseases. (shrink)

As COVID-19 spread, clinicians warned of mental illness epidemics within the coronavirus pandemic. Funding for digital mental health is surging and researchers are calling for widespread adoption to address the mental health sequalae of COVID-19. -/- We consider whether these technologies improve mental health outcomes and whether they exacerbate existing health inequalities laid bare by the pandemic. We argue the evidence for efficacy is weak and the likelihood of increasing inequalities is high. -/- First, we review (...) recent trends in digital mental health. Next, we turn to the clinical literature to show that many technologies proposed as a response to COVID-19 are unlikely to improve outcomes. Then, we argue that even evidence-based technologies run the risk of increasing health disparities. We conclude by suggesting that policymakers should not allocate limited resources to the development of many digital mental health tools and should focus instead on evidence-based solutions to address mental health inequalities. (shrink)

The rare but severe cerebral venous thrombosis occurring in some AstraZeneca vaccine recipients has prompted some governments to suspend part of their COVID-19 vaccination programmes. Such suspensions have faced various challenges from both scientific and ethical angles. Most of the criticisms against such suspensions follow a consequentialist approach, arguing that the suspension will lead to more harm than benefits. In this paper, I propose a rights-based argument against the suspension of the vaccine rollouts amid this highly time-sensitive combat of COVID-19. (...) I argue that by suspending a vaccine rollout, a government infringes people's right to take the risks they deem worth taking for their health. I also consider four potential objections to my argument and explain why none of them undermines my argument. (shrink)

At the beginning of the COVID-19 pandemic, high hopes were placed on digital contact tracing. Digital contact tracing apps can now be downloaded in many countries, but as further waves of COVID-19 tear through much of the northern hemisphere, these apps are playing a less important role in interrupting chains of infection than anticipated. We argue that one of the reasons for this is that most countries have opted for decentralised apps, which cannot provide a means of rapidly informing users (...) of likely infections while avoiding too many false positive reports. Centralised apps, in contrast, have the potential to do this. But policy making was influenced by public debates about the right app configuration, which have tended to focus heavily on privacy, and are driven by the assumption that decentralised apps are “privacy preserving by design”. We show that both types of apps are in fact vulnerable to privacy breaches, and, drawing on principles from safety engineering and risk analysis, compare the risks of centralised and decentralised systems along two dimensions, namely the probability of possible breaches and their severity. We conclude that a centralised app may in fact minimise overall ethical risk, and contend that we must reassess our approach to digital contact tracing, and should, more generally, be cautious about a myopic focus on privacy when conducting ethical assessments of data technologies. (shrink)

The objective of the research is to carry out a review of the literature about suicide risk factors in young university students. The methodology used is quantitative descriptive with a bibliometric approach, under the PRISMA method. The search was carried out in three databases: Clarivate Web of Science, MDPI and Taylor and Francis that had the variables of suicide risk factors. Inclusion criteria were used such as: study variables, years 2019 to 2022, published in Spanish and English,scientific reports (...) research results, research with clinical and non-clinical population. After the application of the Boolean operators, the total sample is (n=10360) and after screening with the PRISMA method (n=45). Results: The United States, followed by China and Bangladesh, are the countries that produce the most on the subject. The most frequent risk factors are: depression, anxiety, stress, academic commitments, lack of opportunities, low income and race. The students with the highest suicide rates are in the health area such as medicine and nursing, in addition, there is more suicide intent in women than in men. (shrink)

Conservative assumptions in medical ethics risk immense harms during a pandemic. Public health institutions and public discourse alike have repeatedly privileged inaction over aggressive medical interventions to address the pandemic, perversely increasing population-wide risks while claiming to be guided by ‘caution’. This puzzling disconnect between rhetoric and reality is suggestive of an underlying philosophical confusion. In this paper, I argue that we have been misled by status quo bias—exaggerating the moral significance of the risks inherent in medical interventions, (...) while systematically neglecting the risks inherent in the status quo prospect of an out-of-control pandemic. By coming to appreciate the possibility and significance of status quo risk, we will be better prepared to respond appropriately when the next pandemic strikes. (shrink)