Associations between a one-shot delay discounting measure and age, income, education and real-world impulsive behavior

There has been discussion over the extent to which delay discounting – as prototypically shown by a preference for a smaller-sooner sum of money over a larger-later sum – measures the same kind of impulsive preferences that drive non-financial behavior. To address this issue, a dataset was analyzed containing 42,863 participants’ responses to a single delay-discounting choice, along with self-report behaviors that can be considered as impulsive. Choice of a smaller-sooner sum was associated with several demographics: younger age, lower income, and lower education; and impulsive behaviors: earlier age of first sexual activity and recent relationship infidelity, smoking, and higher body mass index. These findings suggest that at least an aspect of delay discounting preference is associated with a general trait influencing other forms of impulsivity, and therefore that high delay discounting is another form of impulsive behavior

Association between depressive symptom clusters and food attentional bias

Background The mechanisms underlying the depression-obesity relationship are unclear. Food attentional bias (FAB) represents one candidate mechanism that has not been examined. We evaluated the hypothesis that greater depressive symptoms are associated with increased FAB. Method Participants were 89 normal weight or overweight adults (mean age = 21.2 ± 4.0 years, 53% female, 33% non-white, mean body mass index in kg/m2 = 21.9 ± 1.8 for normal weight; 27.2 ± 1.5 for overweight). Total, somatic, and cognitive-affective depressive symptom scores were computed from the Patient Health Questionnaire-8 (PHQ-8). FAB scores were calculated using reaction times (RT) and eye-tracking (ET) direction and duration measures for a food visual probe task. Age, gender, race/ethnicity, and body fat percent were covariates. Results Only PHQ-8 somatic symptoms were positively associated with RT-measured FAB (β = 0.23, p = .04). The relationship between somatic symptoms and ET direction (β = 0.18, p = .17) and duration (β = 0.23, p = .08) FAB indices were of similar magnitude but were not significant. Somatic symptoms accounted for 5% of the variance in RT-measured FAB. PHQ-8 total and cognitive-affective symptoms were unrelated to all FAB indices (ps ≥ 0.09). Conclusions Only greater somatic symptoms of depression were linked to food attentional bias as measured using reaction time. Well-powered prospective studies should examine whether this bias replicates, particularly for eye-tracking measures, and whether it partially mediates the depression-to-obesity relationship

Improving Estimates of Genetic Maps: A Maximum Likelihood Approach

As a result of previous large, multipoint linkage studies there is a substantial amount of existing marker data. Due to the increased sample size, genetic maps estimated from these data could be more accurate than publicly available maps. However, current methods for map estimation are restricted to data sets containing pedigrees with a small number of individuals, or cannot make full use of marker data that are observed at several loci on members of large, extended pedigrees. In this article, a maximum likelihood (ML) method for map estimation that can make full use of the marker data in a large, multipoint linkage study is described. The method is applied to replicate sets of simulated marker data involving seven linked loci, and pedigree structures based on the real multipoint linkage study of Abkevich et al. (2003, American Journal of Human Genetics 73, 1271–1281). The variance of the ML estimate is accurately estimated, and tests of both simple and composite null hypotheses are performed. An efficient procedure for combining map estimates over data sets is also suggested.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66271/1/j.1541-0420.2006.00532.x.pd

Environmental and Animal Benefits when Beef Cattle Consume Condensed and Hydrolysable Tannins

This fact sheet describes the environmental and animal benefits when cattle consume condensed and hydrolysable tannins, and includes producer concerns

Employing consumer electronic devices in physiological and emotional evaluation of common driving activities

It is important to equip future vehicles with an on-board system capable of tracking and analysing driver state in real-time in order to mitigate the risk of human error occurrence in manual or semi-autonomous driving. This study aims to provide some supporting evidence for adoption of consumer grade electronic devices in driver state monitoring. The study adopted repeated measure design and was performed in high- fidelity driving simulator. Total of 39 participants of mixed age and gender have taken part in the user trials. The mobile application was developed to demonstrate how a mobile device can act as a host for a driver state monitoring system, support connectivity, synchronisation, and storage of driver state related measures from multiple devices. The results of this study showed that multiple physiological measures, sourced from consumer grade electronic devices, can be used to successfully distinguish task complexities across common driving activities. For instance, galvanic skin response and some heart rate derivatives were found to be correlated to overall subjective workload ratings. Furthermore, emotions were captured and showed to be affected by extreme driving situations

Differences in Mexican Americans’ Prevalence of Chronic Pain and Co-Occurring Analgesic Medication and Substance Use Relative to Non-Hispanic White and Black Americans: Results from NHANES 1999–2004

Objective. Little is known about the burgeoning Mexican American (MA) population’s pain experience. Methods. Using 1999–2004 National Health and Nutrition Examination Survey (NHANES) data, prevalence of chronic pain, analgesic medication use, and substance use were examined among MA, non-Hispanic White (NHW), and non-Hispanic Black (NHB) respondents. Logistic and linear regression models examined racial/ethnic differences in: 1) chronic pain prevalence among all respondents, 2) location and number of pain sites among respondents with chronic pain, and 3) analgesic medication and substance use among respondents with chronic pain. Results. Compared to NHWs and NHBs, MAs were less likely to report any chronic pain. Among respondents with chronic pain, MAs had higher odds of reporting headache, abdominal pain, and a greater number of pain sites than NHWs. Compared to NHWs, MAs with chronic pain had lower odds of reporting past-month analgesic medication and COX-2 inhibitor use. MAs with chronic pain had lower odds of being a current cigarette smoker and heavy alcohol drinker but had similar street drug/cocaine use relative to NHWs. Conclusions. Results suggest that: 1) MAs are less likely to develop chronic pain than NHWs, 2) MAs with chronic pain report greater headache and abdominal pain than NHWs, and 3) MAs with chronic pain are less likely to use analgesic medications and other substances compared to NHWs. These results suggest that providers should consider taking extra time to discuss analgesic medications with MAs. Future investigations should examine reasons underlying these racial/ethnic differences in chronic pain, as well as differences in the use of other substances, such as marijuana

Towards hybrid driver state monitoring : review, future perspectives and the role of consumer electronics

The purpose of this paper is to bring together multiple literature sources which present innovative methodologies for the assessment of driver state, driving context and performance by means of technology within a vehicle and consumer electronic devices. It also provides an overview of ongoing research and trends in the area of driver state monitoring. As part of this review a model of a hybrid driver state monitoring system is proposed. The model incorporates technology within a vehicle and multiple broughtin devices for enhanced validity and reliability of recorded data. Additionally, the model draws upon requirement of data fusion in order to generate unified driver state indicator(-s) that could be used to modify in-vehicle information and safety systems hence, make them driver state adaptable. Such modification could help to reach optimal driving performance in a particular driving situation. To conclude, we discuss the advantages of integrating hybrid driver state monitoring system into a vehicle and suggest future areas of research

Depressive Symptoms and Weight Loss Behaviors in U.S. Adults

Objective We sought to determine whether depressive symptoms are associated with attempting to lose weight and engaging in weight loss behaviors in a large, diverse sample of adults representative of the U.S. population. Methods Respondents were 23,106 adults, free of cardiovascular disease and diabetes, who participated in the 2005–2014 years of the National Health and Nutrition Examination Survey (NHANES). Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9), and weight loss variables were obtained from a Weight History Questionnaire. Results PHQ-9 total was not associated with attempting to lose weight in the past year (OR = 1.03, 95%CI = 1.00–1.06, p = 0.074; n = 23,106). Among respondents who attempted to lose weight (n = 9582), PHQ-9 total was associated with a lower odds of exercising (OR = 0.84, 95%CI = 0.79–0.89, p < 0.001) and a greater odds of skipping meals (OR = 1.31, 95%CI = 1.22–1.41, p < 0.001), eating diet foods/products (OR = 1.16, 95%CI = 1.08–1.24, p < 0.001), eating less food (OR = 1.09, 95%CI = 1.04–1.15, p < 0.001), taking non-prescription supplements (OR = 1.31, 95%CI = 1.23–1.41, p < 0.001), taking prescription diet pills (OR = 1.28, 95%CI = 1.10–1.49, p = 0.001), and taking laxatives/vomiting (OR = 1.55, 95%CI = 1.28–1.88, p < 0.001). Conclusions Although depressive symptoms were not associated with attempting to lose weight in the past year, adults who attempted to lose weight tended to employ potentially ineffective/unhealthy weight loss behaviors and avoid effective behaviors. This pattern of behaviors may be another mechanism that explains the excess risk of obesity in depressed adults and may be a modifiable target for future interventions. Given the cross-sectional nature of this study, reverse causality is a possibility. Future studies should investigate the prospective associations between depressive symptoms and weight loss behaviors