Examining waist and neck circumferences as screening tools for metabolic syndrome in a sub-Saharan Caucasian cohort at three year follow-up: the SABPA prospective cohort

Objectives: Waist circumference (WC) cut-off points specific to  sub-Saharan Caucasians do not exist with which to identify metabolic syndrome. Neck circumference (NC), as an additional measure, was previously found to be a worthy identifier of metabolic syndrome.  Therefore, the aim was to determine NC and WC cut-off points specificto our Caucasian cohort, to confirm baseline cut-off points and to  determine whether or not WC cut-off points specific to this cohort differed from the Joint Interim Statement (JIS) WC guidelines.Design, subjects and setting: A target population study, nested in a prospective cohort, was assessed and included 90 and 96 Caucasian men and women aged 24-65 years from the Dr Kenneth Kaunda Municipality District, North West province.Outcomes measures: Anthropometric and fasting biological markers for metabolic syndrome, e.g. systolic and diastolic blood pressure, glucose, triglycerides and high-density lipoprotein, were obtained.Results: Cut-off points were determined with the use of a receiver operating characteristic. With the use of cohortspecific WC cut-offs, metabolic syndrome prevalence did not change. WC cut-off points were 96 cm for men and 88 cm for women. NC cut-off points were 42 cm and 35 cm, for men and women, respectively.Conclusion: WC cut-off points specific to these Caucasians differed to those from the JIS guidelines, but corresponded with the baseline findings of the prospective cohort. From a clinical perspective, we cautiously suggest the application of NC, rather than WC, as an anthropometric measure of metabolic syndrome in women as it was a stronger predictor of metabolic syndrome and is not influenced by menopausal status per se

Phenotypic integration and the evolution of signal repertoires: a case study of treefrog acoustic communication

Animal signals are inherently complex phenotypes with many interacting parts combining to elicit responses from receivers. The pattern of interrelationships between signal components reflects the extent to which each component is expressed, and responds to selection, either in concert with or independently of others. Furthermore, many species have complex repertoires consisting of multiple signal types used in different contexts, and common morphological and physiological constraints may result in interrelationships extending across the multiple signals in species' repertoires. The evolutionary significance of interrelationships between signal traits can be explored within the framework of phenotypic integration, which offers a suite of quantitative techniques to characterize complex phenotypes. In particular, these techniques allow for the assessment of modularity and integration, which describe, respectively, the extent to which sets of traits covary either independently or jointly. Although signal and repertoire complexity are thought to be major drivers of diversification and social evolution, few studies have explicitly measured the phenotypic integration of signals to investigate the evolution of diverse communication systems. We applied methods from phenotypic integration studies to quantify integration in the two primary vocalization types (advertisement and aggressive calls) in the treefrogs Hyla versicolor, Hyla cinerea, and Dendropsophus ebraccatus. We recorded male calls and calculated standardized phenotypic variance-covariance (P) matrices for characteristics within and across call types. We found significant integration across call types, but the strength of integration varied by species and corresponded with the acoustic similarity of the call types within each species. H.versicolor had the most modular advertisement and aggressive calls and the least acoustically similar call types. Additionally, P was robust to changing social competition levels in H.versicolor. Our findings suggest new directions in animal communication research in which the complex relationships among the traits of multiple signals are a key consideration for understanding signal evolution

Area-level and individual correlates of active transportation among adults in Germany: A population-based multilevel study

This study aimed at estimating the prevalence in adults of complying with the aerobic physical activity (PA) recommendation through transportation-related walking and cycling. Furthermore, potential determinants of transportation-related PA recommendation compliance were investigated. 10,872 men and 13,144 women aged 18 years or older participated in the cross-sectional 'German Health Update 2014/15 - EHIS' in Germany. Transportation-related walking and cycling were assessed using the European Health Interview Survey-Physical Activity Questionnaire. Three outcome indicators were constructed: walking, cycling, and total active transportation (>= 600 metabolic equivalent, MET-min/week). Associations were analyzed using multilevel regression analysis. Forty-two percent of men and 39% of women achieved >= 600 MET-min/week with total active transportation. The corresponding percentages for walking were 27% and 28% and for cycling 17% and 13%, respectively. Higher population density, older age, lower income, higher work-related and leisure-time PA, not being obese, and better self-perceived health were positively associated with transportation-related walking and cycling and total active transportation among both men and women. The promotion of walking and cycling among inactive people has great potential to increase PA in the general adult population and to comply with PA recommendations. Several correlates of active transportation were identified which should be considered when planning public health policies and interventions

A generalized framework to predict continuous scores from medical ordinal labels

Many variables of interest in clinical medicine, like disease severity, are recorded using discrete ordinal categories such as normal/mild/moderate/severe. These labels are used to train and evaluate disease severity prediction models. However, ordinal categories represent a simplification of an underlying continuous severity spectrum. Using continuous scores instead of ordinal categories is more sensitive to detecting small changes in disease severity over time. Here, we present a generalized framework that accurately predicts continuously valued variables using only discrete ordinal labels during model development. We found that for three clinical prediction tasks, models that take the ordinal relationship of the training labels into account outperformed conventional multi-class classification models. Particularly the continuous scores generated by ordinal classification and regression models showed a significantly higher correlation with expert rankings of disease severity and lower mean squared errors compared to the multi-class classification models. Furthermore, the use of MC dropout significantly improved the ability of all evaluated deep learning approaches to predict continuously valued scores that truthfully reflect the underlying continuous target variable. We showed that accurate continuously valued predictions can be generated even if the model development only involves discrete ordinal labels. The novel framework has been validated on three different clinical prediction tasks and has proven to bridge the gap between discrete ordinal labels and the underlying continuously valued variables

Nuclear receptors in vascular biology

Nuclear receptors sense a wide range of steroids and hormones (estrogens, progesterone, androgens, glucocorticoid, and mineralocorticoid), vitamins (A and D), lipid metabolites, carbohydrates, and xenobiotics. In response to these diverse but critically important mediators, nuclear receptors regulate the homeostatic control of lipids, carbohydrate, cholesterol, and xenobiotic drug metabolism, inflammation, cell differentiation and development, including vascular development. The nuclear receptor family is one of the most important groups of signaling molecules in the body and as such represent some of the most important established and emerging clinical and therapeutic targets. This review will highlight some of the recent trends in nuclear receptor biology related to vascular biology

The Vehicle, Spring 1970, Vol. 12 no. 2

Vol. 12, No. 2 Table of Contents Prose short storyCarol Jean Baumgartepage 5 essayDan Franklinpage 8 short storyMary Yarbroughpage 21 Poetry Sara Brinkerhoffpage 20 Nick Dagerpage 18 E.S.page 17 Harry Fordpage 20 Melinda Gimbutpage 19 Ann Graffpage 20 Heather Hoebelpage 7 Becky McIntoshpage 20 John Metcalfpage 17 Mary Pipekpage 19 Cynthia C. Yohopage 17 Photography Dennis Hoaglundpages 5, 10, 21 Dale Huberpage 23 Scott Redfieldpages 7, 19 Tribute to the Ordinary Studentpage 11artMike DorseystoryNick Dagerhttps://thekeep.eiu.edu/vehicle/1022/thumbnail.jp