A systematic review of physical activity correlates in alcohol use disorders

Background: Physical activity might promote mental and physical health in persons with alcohol use disorder. Understanding the barriers and facilitators of participation in physical activity in persons with alcohol use disorder is an essential first step in order to devise effective physical activity interventions. Objective: The present review provides a systematic quantitative review of the correlates of physical activity in people with alcohol use disorder. Methods: Major electronic databases were searched by two independent authors from inception till June 2014. Keywords included ‘physical activity’ or ‘exercise’ and ‘alcohol dependence’ or ‘alcohol abuse’ or ‘alcohol use disorders’ or ‘alcoholism’. Results: Five papers evaluating 14 correlates were included. Three studies reported that alcohol dependence was unrelated to physical activity behavior, while alcohol abuse showed positive associations in 2 studies. No demographic variable was related with physical activity participation. Functional impairments and distress associated with alcohol use disorders including increased smoking rates, obesity, anxiety, depression and a lower self-efficacy may limit one’s ability to be physically active. Data on social, environmental and policy related factors are currently lacking. No included study assessed physical activity levels utilizing objective measurements (e.g. pedometers, accelerometers). Conclusion: Although the literature on physical activity correlates in persons with alcohol use disorder still is equivocal, our varied findings support the hypothesis that the participation in physical activity by people with alcohol use disorder is determined by a range of complex factors

Metabolic syndrome and lung function in schizophrenia: a pilot study

This pilot study aimed to explore relationships between metabolic and lung functions in patients with schizophrenia. Eighty patients with schizophrenia (55♂; 36.8±10.0 years) underwent a spirometry, were screened for metabolic syndrome (MetS), performed a 6-minute walk test (6MWT), and completed the International Physical Activity Questionnaire and the Psychosis evaluation tool for common use by caregivers. Patients with MetS (according to the International Diabetes Federation criteria) (n=28; 35%) had a reduced predicted forced expiratory volume for 1 second (77.4±13.2 versus 87.3±12.1%) and predicted forced vital capacity (75.3±11.1 versus 85.4±11.4%). Significantly more patients with MetS were diagnosed with restrictive lung dysfunction (RLD) (according to the Global Initiative for Chronic Obstructive Lung Disease criteria) (13 versus 8). Schizophrenia patients with RLD (n=21; 26.2%) had a significantly larger waist circumference (90.7±12.5 versus, 105.6±14.7 cm), were less physically active (653.6±777.9 versus 1517.9±1248.7 metabolic equivalent-min/week) and walked less on the 6MWT (502.6±92.3 versus 612.4±101.2 m) than patients without RLD. The present data suggest that in patients with schizophrenia RLD might be associated with metabolic dysfunctions. Further prospective analyses are required to elucidate the complex interrelationships between lung and metabolic functions in patients with schizophrenia

Cardiorespiratory fitness in outpatients with bipolar disorder versus matched controls: An exploratory study

AbstractBackground Patients with bipolar disorder (BD) are approximately twice as likely to die prematurely due cardiovascular diseases (CVD) than the general population. Cardiorespiratory fitness (CRF) is an important health outcome measure, predictive for CVD and premature mortality. Aims The aim of the current study was to compare the CRF of outpatients with BD versus age-, gender-, and body mass index (BMI)-matched healthy controls (HC). A secondary aim was to assess potential correlates of CRF. Methods All participants underwent a maximal incremental exercise test to measure the maximum oxygen uptake (VO2max, the golden standard assessment of cardiorespiratory fitness), wore a Body Sensewear Armband for 5 subsequent days to assess their physical activity behavior and completed the Positive-and-Negative-Affect-Schedule (PANAS). Results Outpatients with BD (n=20; 47.8±7.6years) had a significantly lower VO2max compared with HC (n=20; 47.8±7.6years) (26.0±7.3 versus 30.4±6.5 ml/min/kg, P=0.047). A higher VO2max was correlated with younger age, higher active energy expenditure, higher PANAS positive and lower PANAS negative affect scores and a lower antipsychotic medication dose. Limitations The limited sample and cross-sectional design preclude definitive conclusions. Conclusions Compared with HC, outpatients with BD have reduced CRF levels of approximately 4.4 ml/min/kg. In the general population such reductions are associated with a 20% increased premature mortality risk. Interventions targeting CRF in BD are required. Although more research is needed, clinicians should consider the utility of objective assessments of CRF for risk stratification in outpatient settings

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Increasing Informativeness in Temporal Annotation

In this paper, we discuss some of the challenges of adequately applying a specification language to an annotation task, as embodied in a specific guideline. In particular, we discuss some issues with TimeML motivated by error analysis on annotated TLINKs in Time-Bank. We introduce a document level information structure we call a narrative container (NC), designed to increase informativeness and accuracy of temporal relation identification. The narrative container is the default interval containing the events being discussed in the text, when no explicit temporal anchor is given. By exploiting this notion in the creation of a new temporal annotation over Time-Bank, we were able to reduce inconsistencies and increase informativeness when compared to existing TLINKs in TimeBank.

HIGH-FREQUENCY ACCELEROMETER MONITORING OF FORAGING AND MOVEMENT BEHAVIOR IN A SECRETIVE PREDATOR (CENTRAL RAT SNAKES, PANTHEROPHIS ALLEGHENIENSIS)**

Advancements in bio-logging technology have transformed study of animals in nature. Among the many bio-loggers available, accelerometers (ACTs) are becoming increasingly common in studies of animal behavior. ACTs are small (\u3c1 g) piezo-electric (spring-like) sensors capable of measuring three-dimensional acceleration derived from subject-motion, and advanced machine learning techniques enable automated classification of distinct behavioral states from these data. While ACTs were previously utilized in the investigation of larger organisms and those most compliant to the temporary attachment of external devices, smaller dimensions have expanded the breadth of organisms amenable to these methods. The goal of this project is to expand a novel framework for ACT monitoring in snakes, a group of smaller vertebrates that have been previously absent in biologging applications. We will conduct comprehensive captive validation trials for robust machine learning model training and testing for accurate classification of key behaviors in Rat Snakes (Pantherophis allegheniensis), including full-body movement, immobility, predatory strikes, constriction, and ingestion of prey items. All classification model procedures will be conducted with open-source software specifically designed for acceleration data processing, demonstrating the increasing accessibility and feasibility of ACT studies. Following captive validation, this method will be applied to the field using a population of P. allegheniensis located in the lower Piedmont of middle Georgia to provide continuous and remote field-monitoring of activity patterns and key predatory behaviors. We envision validation of this technique carrying significant conservation and management implications. Real-time monitoring of foraging efficiency in the field facilitates improved interpretation of the causes and consequences of variation in individual behavior and performance, and its ultimate effects on population trajectories