Child and Infant Mortality; Risk Factors Related to SUID in Marion County

poster abstractBetween 2003- 2012, Indiana had 434 child deaths, including 53 Sudden Unexpected Infant Death (SUID) cases. Marion County has a high rate of SUID at 14%. The purpose of our research is to identify the risk factors for suffocation and to determine if SUID can be better prevented. In a pilot exploratory study, we analyzed five de-identified Marion County SUID cases to identify the asphyxia variables. The Fetal Infant Mortality Review (FIMR) cases allowed for thematic analysis. We used a meta-aggregation program NOTARI (Narrative, opinion, text assessment, and review instrument) to focus on categorical variables. Results identified asphyxia variables such as swaddling, blanket suffocation, wedging, parents bedding, soft bedding with pillows. Common maternal variables were obesity, hypertension, and STDs. Infant variables included breathing problems and cardio-respiratory pathologies. We found four cases with documented safe sleep education. The education that parents receive on safe sleep is not a guarantee that they will practice safe sleep with their infants. The education might not be effective enough to help them comprehend its importance; therefore nurses and other healthcare professionals need to consider changing the way they educate and advocate for parents. We suggest the introduction of more primary educational programs that will help the community understand safe sleep and SUID. This intervention would help decrease the incidence of sudden unexpected infant death

Cardiovascular fitness associated with cognitive performance in heart failure patients enrolled in cardiac rehabilitation

Abstract Background Reduced cognitive function is common in persons with heart failure (HF). Cardiovascular fitness is a known contributor to cognitive function in many patient populations, but has only been linked to cognition based on estimates of fitness in HF. The current study examined the relationship between fitness as measured by metabolic equivalents (METs) from a standardized stress test and cognition in persons with HF, as well as the validity of office-based predictors of fitness in this population. Methods Forty-one HF patients enrolled in cardiac rehabilitation completed a standardized exercise stress test protocol, a brief neuropsychological battery, the 2-minute step test (2MST), and a series of medical history and self-report questionnaires. Results Maximum METs from stress testing demonstrated incremental predictive validity for attention (β = .41,p = .03), executive function (β = .37,p = .04), and memory domains (β = .46,p = .04). Partial correlations accounting for key medical and demographic characteristics revealed greater METs was associated with the 2MST (r(32) = .41,p = .02) but not with the Duke Activity Status Index (DASI) (r(32) = .24,p = .17). Conclusion The current findings indicate that better fitness levels measured by METs is independently associated with better cognitive function in older adults with HF. Results also showed that METs was closely associated with one office-based measure of fitness (2MST), but not another (DASI). Prospective studies are needed to clarify the mechanisms linking fitness and cognitive function in HF

AusTraits, a curated plant trait database for the Australian flora

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge

AusTraits, a curated plant trait database for the Australian flora

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge