Sex differences in the associations between birthweight and lipid levels in middle-age: findings from the 1958 British birth cohort

Objective To examine sex differences in birthweight–lipid associations. Methods and results Using prospectively collected data on birthweight and non-fasting lipid levels at age 44–45 y from the 1958 British birth cohort (3603 men and 3583 women), sex differences in birthweight–lipid associations were examined. There were inverse associations between birthweight and total and low-density-lipoprotein (LDL)-cholesterol among women (a 1 kg increase in birthweight was associated with a 0.13 mmol/L reduction in total cholesterol (p < 0.001) and a 0.07 mmol/L reduction in LDL-cholesterol (p = 0.02)) but no associations among men (p = 0.005 and p = 0.01, respectively, for birthweight × sex interactions). There was an inverse association between birthweight and triglycerides of a similar magnitude in both sexes (a 1 kg increase in birthweight was associated with a 7% reduction in triglyceride levels in sex-adjusted models (p < 0.001)). There was no association between birthweight and high-density-lipoprotein-cholesterol. Associations were largely unaltered after adjustment for covariates. Of birthweight, current height and BMI, the latter was the strongest predictor of lipid levels. Conclusions The finding of an inverse association between birthweight and triglycerides in both sexes and of inverse associations between birthweight and total and LDL-cholesterol only in women suggests that the mechanisms underlying the associations with birthweight may vary for different lipids

Knowledge transfer in a tourism destination: the effects of a network structure

Tourism destinations have a necessity to innovate to remain competitive in an increasingly global environment. A pre-requisite for innovation is the understanding of how destinations source, share and use knowledge. This conceptual paper examines the nature of networks and how their analysis can shed light upon the processes of knowledge sharing in destinations as they strive to innovate. The paper conceptualizes destinations as networks of connected organizations, both public and private, each of which can be considered as a destination stakeholder. In network theory they represent the nodes within the system. The paper shows how epidemic diffusion models can act as an analogy for knowledge communication and transfer within a destination network. These models can be combined with other approaches to network analysis to shed light on how destination networks operate, and how they can be optimized with policy intervention to deliver innovative and competitive destinations. The paper closes with a practical tourism example taken from the Italian destination of Elba. Using numerical simulations the case demonstrates how the Elba network can be optimized. Overall this paper demonstrates the considerable utility of network analysis for tourism in delivering destination competitiveness.Comment: 15 pages, 2 figures, 2 tables. Forthcoming in: The Service Industries Journal, vol. 30, n. 8, 2010. Special Issue on: Advances in service network analysis v2: addeded and corrected reference

A Joint Framework for Analysis of Agri-Environmental Payment Programs

This paper presents an approach for simultaneously estimating farmers' decisions to accept incentive payments in return for adopting a bundle of environmentally benign management practices. Using the results of a multinomial probit analysis of surveys of over 1,000 farmers facing ten adoption decisions in an EQIP-type program, we show how the farmers' perceptions of the desirability of various bundles changes with the offer amounts and with which practices are offered in the program.incentive payments, EQIP, simulated multivariate normal, multinomial probit, simulated maximum likelihood estimation, best management practices, Environmental Economics and Policy,

Economic Aspects of Revenue-Based Commodity Support

Interest in revenue-based commodity support is evident in the Food, Conservation and Energy Act of 2008 (the 2008 Farm Bill), which gives eligible producers the option of participating in the Average Crop Revenue Election (ACRE) program in return for reductions and eliminations of payments under more traditional programs. This report examines how the uncertainty in U.S. domestic commodity support payments for corn may differ between traditional-style approaches (defined as price-based payments plus yield-based disaster payments) to support and two revenue-based support scenarios. Variability around the total expected annual payment was found to be lower under revenue-based support, as was the probability of high payments. These results suggest potential advantages to this type of support, both in terms of lower budgetary uncertainty for the Federal Government and in better ensuring that agricultural support outlays stay below a certain ceiling. In addition, the volatility of corn revenue was found to be lower in almost all corn producing counties under the revenue-based alternatives than under the traditional price-based approaches.Domestic commodity support, revenue-based support, marketing loan benefits, countercyclical payments, disaster assistance, Federal crop insurance, Agricultural and Food Policy, Crop Production/Industries, Demand and Price Analysis, Financial Economics,

Spectrographic coverage and data reduction of nasa chemical release. studies directed toward design and development of new spectrographic instrumentation final report

Slitless spectrograph for upper atmosphere chemical release

COMBINING ACTUAL AND CONTINGENT BEHAVIOR DATA TO MODEL FARMER ADOPTION OF WATER QUALITY PROTECTION PRACTICES

Using farmer responses to contingent valuation method (CVM) survey data in combination with actual market data from four watershed regions in the United States, this study estimates the minimum incentives payments a farmer would accept in order to adopt more environmentally friendly “"best management practices"” (BMPs). Combining actual market data with the CVM data adds information to the analysis, thereby most likely increasing the reliability of the results compared to analyzing the contingent behavior survey response data only. Given the decision to adopt, the article also presents a pooled model for the number of acres enrolled in the BMPs as a function of the incentive payments. Adoption rates predicted with the combination data model are significantly higher over a wide range of offers than those predicted using the traditional discrete choice analysis with the hypothetical data only. Hence, using the traditional CVM analysis results to determine payments to attain a given level of adoption may result in overpayment.Environmental Economics and Policy,