Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: The goal of this research is to quantify the association between food insecurity and smoking among low-income families. This analysis is a retrospective study using data from the 2001 Panel Study of Income Dynamics, a longitudinal study of a representative sample of U.S. men, women, and children and the family units in which they reside. Family income is linked with U.S. poverty thresholds to identify 2,099 families living near or below 200 percent of the federal poverty level. Food insecurity (that is, having insufficient funds to purchase enough food to maintain an active and healthy lifestyle) is calculated from the eighteen core items in the food security module of the U.S. Department of Agriculture. The results indicate that smoking prevalence is higher among low-income families who are food insecure compared to low-income families who are food secure (43.6 percent versus 31.9 percent). Multivariate analysis reveals that smoking is associated with an increase in food insecurity of approximately 6 percentage points. Given our finding that families near the federal poverty level spend a large share of their income on cigarettes, perhaps it would be prudent for food assistance and tobacco control programs to work together to help low-income people quit smoking. Terms of use: Documents inJEL classification: I18, I38

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HIV behavioral surveillance in the United States is conducted among three groups: infected populations, high-risk populations, and the general population. We describe the general population component of the overall U.S. HIV behavioral surveillance program and identify priority analyses. This component comprises several data systems (ongoing, systematic, population-based surveys) through which data on risk behaviors and HIV testing are collected, analyzed, and disseminated. Multiple data systems are needed to balance differences in scope and purpose, as well as strengths and weaknesses of the sampling frames, mode of administration, and frequency of data collection. In a concentrated epidemic, such as in the United States, general population data play a small but important role in monitoring the potential spread of infection more broadly, particularly given increases in HIV transmission through heterosexual contact.

The distribution of HPV variants appears to be related to geographic difference. Human papillomavirus 16 E6 Thymine178Guanine and E7 Adenine647Guanine can be used as the candidate marker for the progression of the cervical neoplasia.

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At the strategic level, multimodal freight network design problems are limited in that they reflect the costs and constraints associated with emissions. The network design problem (NDP) addressed in this study determines investment alternatives for minimizing total system cost, including costs related to greenhouse gas (GHG) emissions, while satisfying the emissions constraint. The NDP can accommodate improvement alternatives in transfer terminals as well as in road and railroad links. In this study, mode-specific travel time functions were used to represent the differences between the modes explicitly, even for the transfer facility. Emission factors were calculated by link travel speed and level of facilities. The empirical application to a container freight network from the Port of Pusan in southeastern South Korea showed the optimal investment strategy for meeting emissions reduction policy objectives. The conclusion is that investment should concentrate on railroad and terminal facilities to induce modal shift. In contrast, investment in congested roads might be a better option for corridors in which the level of railroad service is low and short-distance freight demands are dominant. These results indicate that the proposed network design problem can provide the appropriate investment strategy for reducing GHG emissions and therefore can be a useful approach with regard to GHG emissions reduction policy.

A model was developed for the location of rapid charging stations for electric vehicles (EVs) in urban areas, taking into account the batteries' state of charge and users' charging and traveling behaviors. EVs are one means of preparing for the energy crisis and of reducing greenhouse gas emissions. To help relieve range anxiety, an adequate number of EV charging stations must be constructed. Rapid charging stations are needed in urban areas because there is inadequate space for slow-charging equipment. The objective function of the model is to minimize EVs' travel fail distance and the total travel time of the entire network when the link flow is determined by a user equilibrium assignment. The remaining fuel range (RFR) at the origin node is assumed to follow a probabilistic distribution to reflect users' charging behavior or technical development. The results indicate that the model described in this paper can identify locations for charging stations by using a probabilistic distribution function for the RFR. The location model, which was developed on the basis of user equilibrium assignment, is likely to consider the congested traffic conditions of urban areas, to avoid locating charging stations where they could cause additional traffic congestion. The proposed model can assist decision makers in developing policies that encourage the use of EVs, and it will be useful in developing an appropriate budget for implementing the plan.