Genetics and personal responsibility for health

Advances in genetic medicine may have implications for how we should think about personal responsibility for health, because they may show how it is possible to exert some control over risk factors that were previously thought as beyond the individual's control. Although we cannot control the genes that we are born with, we can often make decisions concerning genetic testing, disease prevention, and treatment. One might argue, therefore, that individuals should be treated as morally responsible for taking effective action in response to genetic risks factors, since genetically based health risks are similar to other health risks. While this argument makes sense as an abstract, philosophical position, it is not a useful guide to public policy. Given these concerns, there is little society can or should do to encourage individuals to address their genetic risk factors, other than praising those who make prudent choices.     

Social sciences for food and health research

Healthier eating is a global challenge for chronic disease control. Food and Health Research in Europe (FAHRE) surveyed research structures and programmes in 32 countries, and reviewed research needs and gaps across nine themes. Food processing and safety research, nutrition and molecular research, and disease-based clinical research are strong; but research is weak on determinants of disease and healthier eating through policies and changing behaviours. Biomedical and commercial research for patents contrast with social research for the public interest. More funding and capacity support should go to social research in the food and health sector.     

University health sciences students rating for a blended learning course framework

ObjectivesOnline teaching methods are used to identify the effectiveness of blended learning. The present study aimed to evaluate the attitudes and satisfaction of health sciences students in Saudi Arabia towards blended learning.MethodsThe study used mixed research approach by recruiting students from academic year 2017–2019. Phenomenography technique were used to examine the qualitative data for research.ResultsThe instrument was a valid measurement outcome for blended learning courses. Students generally preferred team-based learning rather than face-to-face lectures, which serves as a collaborative learning pedagogy. A high positive attitude and motivation was revealed among the students with respect to the blended model in teaching the research course.ConclusionThe attitude and satisfaction of students seemed to play a vital role in teaching and learning outcomes. Moreover, it was found that the e-learning tools provided flexible learning environment to the students, regardless of location and time zone.     

Planning for the information age: a survey of microcomputer use in a faculty of health sciences.

Microcomputers can greatly enhance information processing by clinicians and improve the quality of health care. We surveyed 983 full- and part-time faculty members to assess the state of microcomputer use in the Faculty of Health Sciences at McMaster University, Hamilton, Ont. The ratio of faculty members to microcomputers was close to 1; however, 29% of the full-time and 52% of the part-time members who responded indicated that they did not use a computer. Among those who did, the range of applications was generally limited. There was no mention of more advanced uses such as diagnosis, treatment and patient records. Only about 30% of the respondents had taken a computer course, but all indicated a desire to take courses (on average, three of the seven listed in the questionnaire). Our results showed an extensive but unequal distribution of microcomputers and revealed the need for planning and education to put them to optimal use.     

Anni 2.0: a multipurpose text-mining tool for the life sciences

Anni 2.0 is an online tool () to aid the biomedical researcher with a broad range of information needs. Anni provides an ontology-based interface to MEDLINE and retrieves documents and associations for several classes of biomedical concepts, including genes, drugs and diseases, with established text-mining technology. In this article we illustrate Anni's usability by applying the tool to two use cases: interpretation of a set of differentially expressed genes, and literature-based knowledge discovery.     

Controversies in the evolutionary social sciences: a guide for the perplexed

It is 25 years since modern evolutionary ideas were first applied extensively to human behavior, jump-starting a field of study once known as 'sociobiology'. Over the years, distinct styles of evolutionary analysis have emerged within the social sciences. Although there is considerable complementarity between approaches that emphasize the study of psychological mechanisms and those that focus on adaptive fit to environments, there are also substantial theoretical and methodological differences. These differences have generated a recurrent debate that is now exacerbated by growing popular media attention to evolutionary human behavioral studies. Here, we provide a guide to current controversies surrounding evolutionary studies of human social behavior, emphasizing theoretical and methodological issues. We conclude that a greater use of formal models, measures of current fitness costs and benefits, and attention to adaptive tradeoffs, will enhance the power and reliability of evolutionary analyses of human social behavior.     

Randomized controlled experiments in health and social sciences: Some conceptual issues

This brief article outlines some difficulties as well as benefits in conducting randomized controlled trials in social science settings especially in developing countries. Some of the historical developments are summarized and certain applications in health sciences are discussed from methodological and policy standpoints.     

Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges

Biology is an information-driven science. Large-scale data sets from genomics, physiology, population genetics and imaging are driving research at a dizzying rate. Simultaneously, interdisciplinary collaborations among experimental biologists, theorists, statisticians and computer scientists have become the key to making effective use of these data sets. However, too many biologists have trouble accessing and using these electronic data sets and tools effectively. A 'cyberinfrastructure' is a combination of databases, network protocols and computational services that brings people, information and computational tools together to perform science in this information-driven world. This article reviews the components of a biological cyberinfrastructure, discusses current and pending implementations, and notes the many challenges that lie ahead.     

Anorexia nervosa and refusal of naso-gastric treatment: a response to Heather Draper

Imposing artificial feeding on people with anorexia nervosa may be unethical. This seems to be Heather Draper's suggestion in her article, 'Anorexia Nervosa and Respecting a Refusal of Life-Prolonging Therapy: A Limited Justification.' Although this is an important point, I shall show that the arguments supporting this point are flawed. Draper should have made a brave claim: she should have claimed that people with anorexia nervosa, who competently decide not to be artificially fed, should be respected because everybody is entitled to exercise their autonomy, not only 'in the middle' of their life, but also at the end of it, or when their own life is at stake, because autonomy also extends to the most difficult moments of our life, and, ultimately, 'stretches [.*T*.*T*.] far out into the distance' at the end of it. I explain why Draper should have made the brave claim, and why she has not made it. I conclude that a defence of people's entitlement to competently refuse artificial feeding cannot rest upon the arguments developed by Draper. Whether or not we should respect competent refusal of artificial feeding depends on the normative strength that we are ready to ascribe to the principle of autonomy, to the moral relevance that we ascribe to the circumstances in which a person's autonomy is exercised, and, perhaps, eventually, on our sense of compassion.