When a Spoonful of Fallacies Helps the Sweetener Go Down: The Corn Refiner Association’s Use of Straw-Person Arguments in Health Debates Surrounding High-Fructose Corn Syrup

The American public is increasingly concerned about risks associated with food additives like high-fructose corn syrup (HFCS). To promote its product as safe, the Corn Refiners Association (CRA) employed two forms of straw-person arguments. First, the CRA opportunistically misrepresented HFCS opposition as inept. Second, the CRA strategically chose to refute claims that were easier to defeat while remaining ambiguous about more complex points of contention. We argue that CRA’s discursive contributions represented unreasonable yet sustainable use of straw-person arguments in debates surrounding health and risk.     

Conduct Disorder: Biology and Developmental Trajectories

Psychiatric Quarterly - For centuries, attempting a successful rehabilitation of youth with antisocial behaviors has challenged juvenile justice systems and society. More recently, advances in...     

In Pursuit of “queer-friendly” Healthcare: An Interview Study of How Queer Individuals Select Care Providers

LGBQ+ individuals experience worse health outcomes than do other individuals. Some communication research finds that LGBQ+ individuals report receiving poor care during the mid- to post-health care, but this research assumes that LGBQ+ individuals have already received care. Little research has examined the pre- to early encounter experience of LGBQ+ individuals. This study presents exploratory research into how LGBQ+ individuals seek “queer-friendly” health care during pre- and early encounter experiences. Using an interview methodology, we report the facilitators and barriers to seeking queer-friendly care reported by LGBQ+ individuals. We offer implications for how health care providers and systems can better promote queer-friendly healthcare.     

Why policymakers should care about “big data” in healthcare

The term “big data” has gotten increasing popular attention, and there is growing focus on how such data can be used to measure and improve health and healthcare. Analytic techniques for extracting information from these data have grown vastly more powerful, and they are now broadly available. But for these approaches to be most useful, large amounts of data must be available, and barriers to use should be low. We discuss how “smart cities” are beginning to invest in this area to improve the health of their populations; provide examples around model approaches for making large quantities of data available to researchers and clinicians among other stakeholders; discuss the current state of big data approaches to improve clinical care including specific examples, and then discuss some of the policy issues around and examples of successful regulatory approaches, including deidentification and privacy protection.