Interaction of erythrocyte eicosapentaenoic acid and physical activity predicts reduced risk of mild cognitive impairment

Objectives To evaluate relationships between self-reported physical activity, proportions of long-chain omega-3 polyunsaturated fatty acids (LCn3) in erythrocyte content (percentage of total fatty acids) and risk of mild cognitive impairment (MCI) in older adults. Method A cross-sectional study was conducted. Community-dwelling male and female (n = 84) participants over the age of 65 years with and without MCI were tested for erythrocyte proportions of the LCn3s eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Physical activity was measured using a validated questionnaire. Results The interaction between erythrocyte EPA, but not DHA, and increased physical activity was associated with increased odds of a non-MCI classification. Conclusion An interaction between physical activity and erythrocyte EPA content (percentage of fatty acids) significantly predicted MCI status in older adults. Randomised control trials are needed to examine the potential for supplementation with EPA in combination with increased physical activity to mitigate the risk of MCI in ageing adults.

Method of symptom assessment influences cognitive, affective and somatic post-concussion-like symptom base rates

Primary objective: To investigate whether assessment method influences the type of post-concussion-like symptoms. Methods and procedures: Participants were 73 Australian undergraduate students (Mage = 24.14, SD = 8.84; 75.3% female) with no history of mild traumatic brain injury (mTBI). Participants reported symptoms experienced over the previous 2 weeks in response to an open-ended question (free report), mock interview and standardized checklist (British Columbia Post-concussion Symptom Inventory; BC-PSI). Main outcomes and results: In the free report and checklist conditions, cognitive symptoms were reported significantly less frequently than affective (free report: p < 0.001; checklist: p < 0.001) or somatic symptoms (free report: p < 0.001; checklist: p = 0.004). However, in the mock structured interview condition, cognitive and somatic symptoms were reported significantly less frequently than affective symptoms (both p < 0.001). No participants reported at least one symptom from all three domains when assessed by free report, whereas most participants did so when symptoms were assessed by a mock structured interview (75%) or checklist (90%). Conclusions: Previous studies have shown that the method used to assess symptoms affects the number reported. This study shows that the assessment method also affects the type of reported symptoms.

Establishing statistical foundations early : data modeling with young learners

This paper addresses research from a three-year longitudinal study that engaged children in data modeling experiences from the beginning school year through to third year (6-8 years). A data modeling approach to statistical development differs in several ways from what is typically done in early classroom experiences with data. In particular, data modeling immerses children in problems that evolve from their own questions and reasoning, with core statistical foundations established early. These foundations include a focus on posing and refining statistical questions within and across contexts, structuring and representing data, making informal inferences, and developing conceptual, representational, and metarepresentational competence. Examples are presented of how young learners developed and sustained informal inferential reasoning and metarepresentational competence across the study to become “sophisticated statisticians”.

The effectiveness of psychosocial interventions for cognitive dysfunction in cancer patients who have received chemotherapy : a systematic review

Background: Chemotherapy-related cognitive dysfunction (CRCD) refers to problems with memory,attention span, or concentration, experienced by patients with cancer who have had chemotherapy. CRCD can have a significant negative effect on a patient’s quality of life. The exact cause of CRCD is unknown but is presumed to be multifactorial. Objective: To conduct a systematic review of the effectiveness of psychosocial interventions designed to treat CRCD. Methods: Participants of interest to the review were over 18 years of age, diagnosed with cancer, and receiving chemotherapy or had received chemotherapy in the past. Interventions of interest were methods to improve cognitive function. Included study designs were randomized controlled trials, quasi-experimental trials, and quantitative observational studies. The primary outcome of interest was level of cognitive function. A three-step search strategy was utilized to identify studies published from 1985 to 2011 from a wide range of databases. Joanna Briggs Institute systematic review methods were used but findings were analyzed using the Cochrane Collaboration Review Manager 5.1 program.Weightedmean differences with 95% confidence intervals were calculated from the continuous data. Results: Searching identified 3,109 potentially relevant articles and 120 full-text articles were retrieved. Two further papers were sourced from reference lists of retrieved articles. From 122 papers, six were suitable for critical appraisal and six were included in the analysis. Meta-analysis was conducted on two cognitive behavioral therapy (CBT) trials for the outcome of inability to concentrate. Significant effect was seen for one CBT intervention at 20 weeks (p = .004). Significant effect from CBT on quality of life was seen at 6-month follow-up (p < .05). Conclusions: Despite some evidence of an effect, there is insufficient evidence at this stage to strongly recommend any of the interventions to assist in decreasing the effects of CRCD, except in terms of improving quality of life.

On Merging Business Process Management and Geographic Information Systems : Modeling and Execution of Ecological Concerns in Processes

Business Process Management describes a holistic management approach for the systematic design, modeling, execution, validation, monitoring and improvement of organizational business processes. Traditionally, most attention within this community has been given to control-flow aspects, i.e., the ordering and sequencing of business activities, oftentimes in isolation with regards to the context in which these activities occur. In this paper, we propose an approach that allows executable process models to be integrated with Geographic Information Systems. This approach enables process models to take geospatial and other geographic aspects into account in an explicit manner both during the modeling phase and the execution phase. We contribute a structured modeling methodology, based on the well-known Business Process Model and Notation standard, which is formalized by means of a mapping to executable Colored Petri nets. We illustrate the feasibility of our approach by means of a sustainability-focused case example of a process with important ecological concerns.