Expanding evidence for the multiple dangers of epidemic abdominal obesity

The waistline of America has been expanding now for decades,1 largely as a consequence of an obesogenic environment, with a car-worshipping culture and take-away lifestyle par excellence.2 No upper limit to the prevalence or extent of obesity is yet apparent, and many countries and communities worldwide are busily following the American lead. Accumulating research evidence suggests that the personal and economic costs of the obesity epidemic are immense,3 driven by the obesity-related increases in risk for conditions such as type 2 diabetes mellitus, the metabolic syndrome, cardiovascular disease (CVD), kidney disease, arthritis, cancer, asthma, and sleep-disordered breathing. In addition, decreases are apparent in self-esteem and quality of life.

Computing the numerical scale of the linguistic term set for the 2-tuple fuzzy linguistic representation model

When using linguistic approaches to solve decision problems, we need the techniques for computing with words (CW). Together with the 2-tuple fuzzy linguistic representation models (i.e., the Herrera and Mart´ınez model and the Wang and Hao model), some computational techniques for CW are also developed. In this paper, we define the concept of numerical scale and extend the 2-tuple fuzzy linguistic representation models under the numerical scale.We find that the key of computational techniques
based on linguistic 2-tuples is to set suitable numerical scale with
the purpose of making transformations between linguistic 2-tuples
and numerical values. By defining the concept of the transitive
calibration matrix and its consistent index, this paper develops an optimization model to compute the numerical scale of the linguistic term set. The desired properties of the optimization model are also presented. Furthermore, we discuss how to construct the transitive calibration matrix for decision problems using linguistic preference relations and analyze the linkage between the consistent index of the transitive calibration matrix and one of the linguistic preference relations. The results in this paper are pretty helpful to complete the fuzzy 2-tuple representation models for CW.

Determinants of epidemic susceptibility and the role of ICTs : a preliminary framework for acute type response in Kerala State

In a developing nation such as India, the national government is pursuing the pathway of ICT supported decentralized programs, to combat endemics, in the social contexts of each State.  The State of Kerala, which has been a exemplar for development, has become susceptible to endemics, brough in by urbanization and non-resident Indian population and compounded be environmental disasters.  In this paper, the authors contend that the psyche of the community which has changed from social amity to self-interest need to be re-awakened with the power ot ICTs and Internet, so as to efficiently combat endemics.  The authors propose a preliminary framework for emergency responses bases on the ICS developed by FEMA in USA and recommended by Indian national government, to suit the context of the State.

Impact of policy changes on the efficiency and returns-to-scale of Japanese financial institutions: an evaluation

This paper examines the impact of FSA's (Financial Services Agency) recent policy changes on the efficiency and returns-to-scale (RTS) of Japanese financial institutions including banks, securities companies and bank holding companies. Three kinds of efficiency are investigated namely, technical efficiency (TE), pure technical efficiency (PTE) and scale efficiency (SE) using the non-parametric methodology named data envelopment analysis (DEA). The DEA analysis shows a substantial improvement in the overall efficiency of Japanese banks, albeit a significant difference of efficiency scores between the major/city banks and the regional banks. Results are robust to alternative specifications of efficiency and scale changes.

Reliability of the pictorial scale of perceived movement skill competence in 2 diverse samples of young children

The purpose was to determine the reliability of an instrument designed to assess young children's perceived movement skill competence in two diverse samples.

Construct validity of the pictorial scale of perceived movement skill competence

Objectives: The Pictorial Scale of Perceived Movement Skill Competence (PMSC) assesses young children's perceptions of movement skill competence: 12 perceived Fundamental Movement skills (FMS; based on the Test of Gross Motor Development 2nd edition TGMD-2) and six Active Play activities (e.g. cycling). The main study purpose was to assess whether children's movement perception scores fit within the imposed constructs of Active Play and FMS by testing the latent structure and construct validity of the PMSC.

Design: Construct validation study.

Methods: Participants were part of the Melbourne Infant Feeding, Activity and Nutrition Trial (InFANT). The latent structure of the PMSC responses was tested through confirmatory factor analysis (CFA) and Bayesian Structural Equation Modeling (BSEM). Internal consistency was conducted using polychoric correlation-based alphas.

Results: The 303 children (boys 53.1%, n = 161) were aged 4-5 years (M = 4.7, SD = 0.46). The final model had an 18 item 3-factor solution with good fit indices (using CFA and BSEM). Factors were: Active Play (Bike, Board Paddle, Climb, Skate/Blade, Scooter, and Swim), Object Control - Hand Skills (Bounce, Catch, Hit, Throw), and FMS skills with a leg action (Gallop, Hop, Jump, Leap, Run, Step Slide, Kick, Roll). Alpha reliability values were: Active Play (0.78), Object Control-Hand Skills (0.76) and FMS-Dynamic Leg (0.84).

Conclusion: Young children can distinguish between movement perceptions. The factors reflect the hypothesized structure in terms of FMS being distinguished from Active Play. Further research should investigate how and if these constructs change in children over time.

A child-centered scale of informal social control for Latino parents of preschool-age children: development and validation

Perceived neighborhood informal social control may determine whether parents allow their young children to be physically active in the neighborhood. We developed and validated a scale of neighborhood child-centered informal social control appropriate for Latino parents of preschool-age children. The scale was administered to 240 Latino parents, mainly mothers, recruited from neighborhoods cross-stratified by objectively measured crime and traffic safety. Participants completed measures of community cohesion, perceived signs of physical and social disorder, traffic safety and hazards, and perceived stranger danger. A subsample was reassessed 1 week later to determine test-retest reliability. Confirmatory factor analyses (CFAs) were conducted to examine the fit of the data to a priori measurement models. Construct validity was assessed by estimating the associations of the scale with the other measures. The scale showed good test-retest reliability, and factorial and construct validity. The scale needs to be cross-validated on other samples and Latino fathers.

The use of correspondence analysis to develop a scale to measure workplace morale from multi-level data

This paper focuses on the issue of comparing social groups or collectivities using measures derived from individual-level multivariate data. In this case, groups need to be differentiated such that: (a) between-group differences are maximized; (b) within-group differences are minimised; and (c) `differences' are calibrated to a scale that reflects a set indicators or observed variables.This paper demonstrates empirically how correspondence analysis can achieve this. It presents a scale of `workplace morale' derived from the responses of employees in a large sample of workplaces to questions concerning satisfaction with various facets of their job and their workplace. The scale derived through correspondence analysis is shown to achieve the three criteria described above.

Relationships of land use mix with walking for transport : do land uses and geographical scale matter?

Physical activity and public health recommendations now emphasize the creation of activity-friendly neighborhoods. Mixed land use in a neighborhood is important in this regard, as it reflects the availability of destinations to which residents can walk or ride bicycles, and thus is likely to contribute to residents’ active lifestyles that in turn will influence their overall health. Relationships between land use mix (LUM) and physical activity have not been apparent in some studies, which may be because geographical scale and the specificity of hypothesized environment–behavior associations are not taken into account. We compared the strength of association of four Geographic Information Systems-derived LUM measures with walking for transport and perceived proximity to destinations. We assessed physical activity behaviors of 2,506 adults in 154 Census Collection Districts (CCDs) in Adelaide, Australia, for which ‘‘original’’ LUM measures were calculated, and then refined by either: accounting for the geographic scale of measurement; including only the most-relevant land uses; or, both. The refined (but not the ‘‘original’’) LUM measures had significant associations with the frequency of walking for transport (p < 0.05) and area-corrected measures had significant associations with the duration of walking for transport. All LUM measures had significant associations with perceived proximity to destinations, but stronger associations were seen when using the refined measures compared with the original LUM. Identifying the LUM attributes most strongly associated with walking for transport is a priority and can inform environmental and policy initiatives that are needed to promote health-enhancing physical activity.

Concept definition in knowledge management : the development of an organizational memory scale

Theorists and researchers in the field of Knowledge Management are frequently frustrated by issues with concept definition, as illustrated by the following comment "there remains disagreement on methodologies, definitions and processes" from the summary article "Issues Raised at ECKM, 2008". How can we clearly define constructs of interest? How can we further research and understanding in the field if we are speaking with different vocabularies? This paper illustrates some of these issues by describing the concept definition process involved in the development of an organizational memory scale. The example being used to illustrate these issues was a self-report scale of organizational memory developed to survey experienced workers' attitudes to mentoring others to pass on their knowledge. The current research sought to differentiate between the types of organizational knowledge that experienced workers have and the possible relationships these have with attitudes pertaining to knowledge transfer via mentoring. Defining the construct to be measured is the vital first ingredient in scale development. Many researchers lament that the concept of organizational memory is a "rather loosely defined and under-developed concept" (e.g. Johnson & Paper, 1998, p.504), and this hints at the challenges that concept definition can entail. Furthermore, in the early stages of this particular project it became clear that the organizational memory scale had similar aims, and was able to borrow from, an existing sale of organizational socialization (Chao, O'Leary-Kelly, Woolf, Klein & Gardner, 1994). This paper describes the concept definition process involved in the development of the scale along with results from the exploratory factor analysis. There is a discussion of the relative contribution that the organizational memory scale makes alongside the existing measure of socialization (Chao et al., 1994), along with goals for further development.

Nurses report a healthy culture: Results of the Practice Environment Scale (Australia) in an Australian hospital seeking Magnet recognition

The Magnet Recognition Program requires evidence that the nursing practice environment supports staff to provide optimal care, access professional development opportunities and participate in hospital affairs. This research aimed to assess clinical nurses’ work environment at a leading private hospital in Sydney, Australia using a version of the Practice Environment Scale of the Nursing Work Index modified for the Australian context. Our results were comparable to Magnet hospitals for two subscales and significantly higher than Magnet results for the remaining three subscales and the composite scale. This was especially pleasing in relation to the hospital's preparation for Magnet recognition. Hospitals across Australasia might find administration of the Practice Environment Scale (modified for use in the Australian context) a useful exercise both as a stimulus to preparation and an indicator of readiness for Magnet recognition.

Measurement error causes scale-dependent threshold erosion of biological signals in animal movement data

Recent advances in telemetry technology have created a wealth of tracking data available for many animal species moving over spatial scales from tens of meters to tens of thousands of kilometers. Increasingly, such data sets are being used for quantitative movement analyses aimed at extracting fundamental biological signals such as optimal searching behavior and scale-dependent foraging decisions. We show here that the location error inherent in various tracking technologies reduces the ability to detect patterns of behavior within movements. Our analyses endeavored to set out a series of initial ground rules for ecologists to help ensure that sampling noise is not misinterpreted as a real biological signal. We simulated animal movement tracks using specialized random walks known as Lévy flights at three spatial scales of investigation: 100-km, 10-km, and 1-km maximum daily step lengths. The locations generated in the simulations were then blurred using known error distributions associated with commonly applied tracking methods: the Global Positioning System (GPS), Argos polar-orbiting satellites, and light-level geolocation. Deviations from the idealized Lévy flight pattern were assessed for each track after incrementing levels of location error were applied at each spatial scale, with additional assessments of the effect of error on scale-dependent movement patterns measured using fractal mean dimension and first-passage time (FPT) analyses. The accuracy of parameter estimation (Lévy μ, fractal mean D, and variance in FPT) declined precipitously at threshold errors relative to each spatial scale. At 100-km maximum daily step lengths, error standard deviations of ≥10 km seriously eroded the biological patterns evident in the simulated tracks, with analogous thresholds at the 10-km and 1-km scales (error SD ≥ 1.3 km and 0.07 km, respectively). Temporal subsampling of the simulated tracks maintained some elements of the biological signals depending on error level and spatial scale. Failure to account for large errors relative to the scale of movement can produce substantial biases in the interpretation of movement patterns. This study provides researchers with a framework for understanding the limitations of their data and identifies how temporal subsampling can help to reduce the influence of spatial error on their conclusions.

Fine-scale patterns of genetic variation in a widespread clonal seagrass species

Seagrasses are ecosystem engineers that offer important habitat for a large number of species and provide a range of ecosystem services. Many seagrass ecosystems are dominated by a single species, with research showing that genotypic diversity at fine spatial scales plays an important role in maintaining a range of ecosystem functions. However, for most seagrass species, information on fine-scale patterns of genetic variation in natural populations is lacking. In this study, we use a hierarchical sampling design to determine the levels of genetic and genotypic diversity at different spatial scales (centimeters, meters, kilometers) in the Australian seagrass Zostera muelleri. Our analysis shows that at fine spatial scales (<1 m), levels of genotypic diversity are relatively low (R(Plots) = 0.37 ± 0.06 SE), although there is some intermingling of genotypes. At the site (10’s m) and meadow location (km) scale, we found higher levels of genotypic diversity (R(sites) = 0.79 ± 0.04 SE; R(Locations) = 0.78 ± 0.04 SE). We found some sharing of genotypes between sites within meadows, but no sharing of genotypes between meadow locations. We also detected a high level of genetic structuring between meadow locations (FST = 0.278). Taken together, our results indicate that both sexual and asexual reproductions are important in maintaining meadows of Z. muelleri. The dominant mechanism of asexual reproduction appears to occur via localized rhizome extension, although the sharing of a limited number of genotypes over the scale of 10’s of meters could also result from the localized dispersal and recruitment of fragments. The large number of unique genotypes at the meadow scale indicates that sexual reproduction is important in maintaining these populations, while the high level of genetic structuring suggests little gene flow and connectivity between our study sites. These results imply that recovery from disturbances will occur through both sexual and asexual regeneration, but the limited connectivity at the landscape scale implies that recovery at meadow-scale losses is likely to be limited.

Investigating the issue of pollution in the micro-scale design of mega-cities : a case study of Enghelab Street, Tehran

Today there is a growing concern about urbanization and its impact on environmental pollution, which threatens human health and quality of life especially in mega cities. The mega city of Tehran, the capital of Iran, deals with various types of pollution. Although a large body of research has highlighted the significance of study on urban pollution in mega cities, only a few studies have addressed the issue at the micro scale. However, most of the research is restricted to air and noise pollution, whereas visual pollution as an important type of pollution that can be interpreted more deeply on a micro-scale, has been neglected. This study aims to evaluate some of the major issues of environmental pollution in Tehran by focusing on the micro-scale of the street. Therefore, as the central part of Tehran is one of the most affected divisions in the city, Enghelab Street has been selected as the case study for this research. This paper argues that identification and implementation of pollution mitigating strategies in Tehran’s master plan is not responsive enough to the whole city. This study of Enghelab Street reveals that policy making strategies for decreasing pollution should be initiated from micro-scale with further emphasis on psychological health. In the future, the lessons learned from the case study of Enghelab will help other major cities in developing countries to combat pollution through initiating from most affected districts in small scale.