Body Mass Index and functional impairment: the explanatory role of anxiety sensitivity among treatment-seeking smokers

Obesity and smoking are highly prevalent public health concerns in the United States. Data indicate that elevated Body Mass Index (BMI) is related to functional impairment. However, there is limited understanding of mechanisms that may explain their comorbidity among smokers. The current study sought to test whether anxiety sensitivity explained the relation between BMI and functional impairment among 420 (46.9% females; M_age = 38 years, SD = 13.42) treatment-seeking, adult smokers. Results indicated that BMI yielded a significant indirect effect through anxiety sensitivity for functional impairment, b = 0.01, SE = .01, 95% CI = [.002, .021]. These findings remained significant after controlling for participant sex, negative affectivity, tobacco dependence, psychopathology, and medical conditions (i.e. hypertension, heart problems, respiratory disease, asthma). Such data provide novel empirical evidence that, among smokers, BMI may be a risk factor for functional impairment indirectly through anxiety sensitivity. Overall, such findings could potentially inform the development of personalized interventions among this particularly vulnerable segment of the smoking population.     

Fechner, information, and shape perception

How do retinal images lead to perceived environmental objects? Vision involves a series of spatial and material transformations—from environmental objects to retinal images, to neurophysiological patterns, and finally to perceptual experience and action. A rationale for understanding functional relations among these physically different systems occurred to Gustav Fechner: Differences in sensation correspond to differences in physical stimulation. The concept of information is similar: Relationships in one system may correspond to, and thus represent, those in another. Criteria for identifying and evaluating information include (a)?resolution, or the precision of correspondence; (b)?uncertainty about which input (output) produced a given output (input); and (c)?invariance, or the preservation of correspondence under transformations of input and output. We apply this framework to psychophysical evidence to identify visual information for perceiving surfaces. The elementary spatial structure shared by objects and images is the second-order differential structure of local surface shape. Experiments have shown that human vision is directly sensitive to this higher-order spatial information from interimage disparities (stereopsis and motion parallax), boundary contours, texture, shading, and combined variables. Psychophysical evidence contradicts other common ideas about retinal information for spatial vision and object perception.     

Engaging the normative question in the H5N1 avian influenza mutation experiments

Introduction

In recent time there has been ample discussion concerning censorship of research conducted in two labs involved in avian influenza virus research. Much of the debate has centered on the question whether the methods and results should reach to open disclosure given the “dual use” nature of this research which can be used for nefarious purposes.

Methods

This paper reviews the discussion to date but centers on epistemological issues associated with initial justification of this research and what this entails for continuation of this research despite US governmental biosecurity concerns. The question here is whether there was reasonable moral warrant for genetic alteration of the H5N1 influenza virus.

Conclusion

The paper concludes with philosophical (ethical) justification for continuation of this research.

     

Attitudinal Approaches to Health Behavior: Integrating Expectancy‐Value and Automaticity Accounts

Attitudes are a key construct in health psychology due to their central role in motivating and changing behavior. An expectancy‐value framework has been the dominant conceptual approach for exploring the impact of attitudes on health behavior, applications of which emphasize volition and rational decision making. More recently, attention has focused on automatic attitudes, which are believed to capture reflexive aspects of motivation. Dual‐process models such as the MODE generally treat expectancy‐value and automaticity accounts as representing separate processing pathways. However, both accounts depend on associative learning. Learning history pairs beliefs or features with evaluations; subsequent activation of beliefs or features activates associated evaluations and drives overall attitude. Therefore, a single information processing architecture may accommodate expectancy‐value and automaticity approaches within a unifying framework, and this is provided by neural network (connectionist) accounts. In this paper, we highlight how a greater emphasis on the information processing mechanics of associative learning can provide a more parsimonious model of attitudes, which may also extend to a wider array of memory‐related phenomena of relevance to health psychology.