Medical applications of nasa-developed science and technology quarterly progress report no. 2, 30 apr. - 31 jul. 1965

Medical applications of aerospace science and technolog

APPLICATION OF A BIO-ECONOMIC-ENGINEERING MODEL FOR SHRIMP MARICULTURE SYSTEMS

Resource /Energy Economics and Policy,

Illusory Essences: A Bias Holding Back Theorizing in Psychological Science

The reliance in psychology on verbal definitions means that psychological research is unusually moored to how humans think and communicate about categories. Psychological concepts (e.g., intelligence, attention) are easily assumed to represent objective, definable categories with an underlying essence. Like the “vital forces” previously thought to animate life, these assumed essences can create an illusion of understanding. By synthesizing a wide range of research lines from cognitive, clinical, and biological psychology and neuroscience, we describe a pervasive tendency across psychological science to assume that essences explain phenomena. Labeling a complex phenomenon can appear as theoretical progress before there is sufficient evidence that the described category has a definable essence or known boundary conditions. Category labels can further undermine progress by masking contingent and contextual relationships and obscuring the need to specify mechanisms. Finally, we highlight examples of promising methods that circumvent the lure of essences and suggest four concrete strategies for identifying and avoiding essentialist intuitions in theory development.</p

Validation of computational models to characterize cumulative intake curves from video-coded meals

IntroductionObservational coding of eating behaviors (e.g., bites, eating rate) captures behavioral characteristics but is limited in its ability to capture dynamic patterns (e.g., temporal changes) across a meal. While the Universal Eating Monitor captures dynamic patterns of eating through cumulative intake curves, it is not commonly used in children due to strict behavioral protocols. Therefore, the objective of this study was to test the ability of computational models to characterize cumulative intake curves from video-coded meals without the use of continuous meal weight measurement.MethodsCumulative intake curves were estimated using Kisslieff’s Quadratic model and Thomas’s logistic ordinary differential equation (LODE) model. To test if cumulative intake curves could be characterized from video-coded meals, three different types of data were simulated: (1) Constant Bite: simplified cumulative intake data; (2) Variable Bite: continuously measured meal weight data; and (3) Bite Measurement Error: video-coded meals that require the use of average bite size rather than measured bite size.ResultsPerformance did not differ by condition, which was assessed by examining model parameter recovery, goodness of fit, and prediction error. Therefore, the additional error incurred by using average bite size as one would with video-coded meals did not impact the ability to accurately estimate cumulative intake curves. While the Quadratic and LODE models were comparable in their ability to characterize cumulative intake curves, the LODE model parameters were more distinct than the Quadradic model. Greater distinctness suggests the LODE model may be more sensitive to individual differences in cumulative intake curves.DiscussionCharacterizing cumulative intake curves from video-coded meals expands our ability to capture dynamic patterns of eating behaviors in populations that are less amenable to strict protocols such as children and individuals with disordered eating. This will improve our ability to identify patterns of eating behavior associated with overconsumption and provide new opportunities for treatment

Self-Injurious Thoughts and Behaviors Among College Students: A Latent Class Analysis

This study explored emerging typologies of self-injurious thoughts and behaviors and how they relate to known psychological and cognitive correlates. Latent class analysis was employed to identify subgroups of college students (n = 626, mean age = 20, 73% female, and 83% White) based on history of self-injurious thoughts and behaviors. Differences among classes were tested to examine their associations with suicidal ideation, fearlessness of death, depression/hopelessness, thwarted belongingness, problems with alcohol or drugs, behavioral inhibition, and emotional control. Results of the latent class analysis supported a 3-class solution, with students classified as being likely to have (1) no history of any self-injurious thoughts and behaviors (78%); (2) a history of all self-injurious thoughts and behaviors (8%); or (3) a history of suicidal ideation, plan, and non-suicidal self-injurious thoughts and behaviors, but not suicide attempt (13%). Findings examining correlates of self-injurious thoughts and behaviors highlight the importance of fearlessness of death for distinguishing suicide attempters from non-attempters. Attention to mental health and suicide prevention initiatives should remain a critical priority across college campuses

Invariance of measures to understand decision-making for pursuing living donor kidney transplant

Living donor kidney transplant is the ideal treatment option for end-stage renal disease; however, the decision to pursue living donor kidney transplant is complex and challenging. Measurement invariance of living donor kidney transplant Decisional Balance and Self-Efficacy across gender (male/female), race (Black/White), and education level (no college/college or higher) were examined using a sequential approach. Full strict invariance was found for Decisional Balance and Self-Efficacy for gender and partial strict invariance was found for Decisional Balance and Self-Efficacy across race and education level. This information will inform tailored feedback based on these constructs in future intervention studies targeting behavior change among specific demographic subgroups

Longitudinal analysis of intervention effects on temptations and stages of change for dietary fat using parallel process latent growth modeling

The Dietary Guidelines for Americans recommend a 20–35 percent daily intake of fat. Resisting the temptation to eat high-fat foods, in conjunction with stage of readiness to avoid these foods, has been shown to influence healthy behavior change. Data (N = 6516) from three randomized controlled trials were pooled to examine the relationships among direct intervention effects on temptations and stage of change for limiting high-fat foods. Findings demonstrate separate simultaneous growth processes in which baseline level of temptations, but not the rate of change in temptations, was significantly related to the change in readiness to avoid high-fat foods