Smokeless tobacco use in 2005 US Military population

U.S. Military personnel are more likely to use smokeless tobacco than civilians. The purpose of this study was to describe the relationship between smokeless tobacco use and sociodemographic, behavioral, and occupational variables, using data from the 2005 Department of Defense Survey of Health Related Behaviors among Active Duty Military Personnel. The DoD survey was comprised of representative active duty U.S. military members (N=16,146). In adjusted multivariate logistic regression models, this study found smokeless tobacco use to be more prevalent in younger age, males, whites, and enlisted-rank members. By service, higher rates were reported among members of the Army and Marine Corps than among the Air Force and Navy members. Smokeless tobacco use among those who also smoke or drink heavily was also much higher than among those who did not report smoking or heavy alcohol use. Results also showed increased prevalence of smokeless tobacco use among those who reported moderate or high impulsive behavior and among those who recently deployed. These findings contribute to improving the understanding of factors related to smokeless tobacco use in the military and may help design strategies to reduce the use of this potentially toxic substance and improve health for military members.^

Design, synthesis and biological evaluation of 5$\sp\prime$-mononucleotide prodrugs: Strategies to introduce nucleotides into cells

The neutral bis ((pivaloyloxy)methyl) (PIV$\sb2\rbrack$ derivatives of FdUMP, ddUMP, and AZTMP were synthesized as potential membrane-permeable prodrugs of FdUMP, ddUMP, and AZTMP. These compounds were designed to enter cells by passive diffusion and revert to the parent nucleotides after removal of the PIV groups by hydrolytic enzymes. These prodrugs were prepared by condensation of FUdR, ddU, and AZT with PIV$\sb2$ phosphate in the presence of triphenylphosphine and diethyl azodicarboxylate (the Mitsunobo reagent). PIV$\sb2$-FdUMP, PIV$\sb2$-ddUMP, and PIV$\sb2$-AZTMP were stable in the pH range 1.0-4.0 (t$\sb{1/2} = {>}$100 h). They were also fairly stable at pH 7.4 (t$\sb{1/2} = {>}$40 h). In 0.05 M NaOH solution, however, they were rapidly degraded (t$\sb{1/2} < 2$ min). In the presence hog liver carboxylate esterase, they were converted quantitatively to the corresponding phosphodiesters, PIV$\sb1$-FdUMP, PIV$\sb1$-ddUMP, and PIV$\sb1$-AZTMP; after 24 h incubation, only trace amounts of FdUMP, ddUMP, and AZTMP (1-5%) were observed indicating that the PIV$\sb1$ compounds were poor substrates for the enzyme. In human plasma, the PIV$\sb2$ compounds were rapidly degraded with half-lives of less than 5 min. The rate of degradation of the PIV$\sb2$ compounds in the presence of phosphodiesterase I was the same as that in buffer controls, indicating that they were not substrates for this enzyme. In the presence of phosphodiesterase I, PIV$\sb1$-FdUMP, PIV$\sb1$-ddUMP, and PIV$\sb1$-AZTMP were converted quantitatively to FdUMP, ddUMP, and AZTMP.^ PIV$\sb2$-ddUMP and PIV$\sb2$-AZTMP were effective at controlling HIV type 1 infection in MT-4 and CEM tk$\sp-$ cells in culture. Mechanistic studies demonstrated that PIV$\sb2$-ddUMP and PIV$\sb2$-AZTMP were taken up by the cells and converted to ddUTP and AZTTP, both potent inhibitors of HIV reverse transcriptase. However, a potential shortcoming of PIV$\sb2$-ddUMP and PIV$\sb2$-AZTMP as clinical therapeutic agents is that they are rapidly degraded (t$\sb{1/2}$ = approx. 4 minutes) in human plasma by carboxylate esterases. To circumvent this limitation, chemically-labile nucleotide prodrugs and liposome-encapsulated nucleotide prodrugs were investigated. In the former approach, the protective groups bis(N, N-(dimethyl)carbamoyloxymethyl) (DM$\sb2$) and bis (N-(piperidino)carbamoyloxymethyl) (DP$\sb2$) were used to synthesize DM$\sb2$-ddUMP and DP$\sb2$-ddUMP, respectively. In aqueous buffers (pH range 1.0-9.0) these compounds were degraded with half-lives of 3 to 4 h. They had similar half-lives in human plasma demonstrating that they were resistant to esterase-mediated cleavage. However, neither compound gave rise to significant concentrations of ddUMP in CEM or CEM tk$\sp-$ cells. In the liposome-encapsulated nucleotide prodrug approach, three different liposomal formulations of PIV$\sb2$-ddUMP (L-PIV$\sb2$-ddUMP) were investigated. The half-lifes of these L-PIV$\sb2$-ddUMP preparations in human plasma were 2 h compared with 4 min for the free drug. The preparations were more effective at controlling HIV-1 infection than free PIV$\sb2$-ddUMP in human T cells in culture. Collectively, these data indicate that PIV$\sb2$-FdUMP, PIV$\sb2$-ddUMP, and PIV$\sb2$-AZTMP are effective membrane-permeable prodrugs of FdUMP, ddUMP, and AZTMP. ^

Strategies to improve healthcare websites.

Healthcare websites that are influential in healthcare decision-making must be evaluated for accuracy, readability and understandability by the average population. Most existing frameworks for designing and evaluating interactive websites focus on the utility and usability of the site. Although these are significant to the design of the basic site, they are not sufficient. We have developed an iterative framework that considers additional attributes.

Design and evaluation of the parent education component of a comprehensive violence prevention project in middle schools

Low parental monitoring is related to youth risk behaviors such as delinquency and aggression. The purpose of this dissertation was to describe the development and evaluation of a parent education intervention to increase parental monitoring in Hispanic parents of middle school children.^ The first study described the process of intervention mapping as used to develop Padres Trabajando por la Paz, a newsletter intervention for parents. Using theory, empirical literature, and information from the target population, performance objectives and determinants for monitoring were defined. Learning objectives were specified and a staged social-cognitive approach was used to develop methods and strategies delivered through newsletters.^ The second study examined the outcomes of a randomized trial of the newsletter intervention. Outcome measures consisted of a general measure of monitoring, parent and child reports of monitoring behaviors targeted by the intervention, and psychosocial determinants of monitoring (self-efficacy, norms, outcome expectancies, knowledge, and beliefs). Seventy-seven parents completed the randomized trial, half of which received four newsletters over an eight-week period. Results revealed a significant interaction effect for baseline and treatment for parent's reports of norms for monitoring (p =.009). Parents in the experimental condition who scored low at baseline reported increased norms for monitoring at follow-up. A significant interaction effect for child reports of parental monitoring behaviors (p =.04) reflected an small increase across baseline levels in the experimental condition and decreases for the control condition at higher baseline scores. Both groups of parents reported increased levels of monitoring at follow-up. No other outcome measures varied significantly by condition.^ The third study examined the relationship between the psychosocial determinants of parental monitoring and parental monitoring behaviors in the study population. Weak evidence for a relationship between outcome expectancies and parental monitoring behaviors suggests further research in the area utilizing stronger empirical models such as longitudinal design and structural equation modeling.^ The low-cost, minimal newsletter intervention showed promise for changing norms among Hispanic parents for parental monitoring. In light of the importance of parental monitoring as a protective factor for youth health risk behaviors, more research needs to be done to develop and evaluate interventions to increase parental monitoring. ^

Design and analysis for three level hierarchical structures with count response

In numerous intervention studies and education field trials, random assignment to treatment occurs in clusters rather than at the level of observation. This departure of random assignment of units may be due to logistics, political feasibility, or ecological validity. Data within the same cluster or grouping are often correlated. Application of traditional regression techniques, which assume independence between observations, to clustered data produce consistent parameter estimates. However such estimators are often inefficient as compared to methods which incorporate the clustered nature of the data into the estimation procedure (Neuhaus 1993).1 Multilevel models, also known as random effects or random components models, can be used to account for the clustering of data by estimating higher level, or group, as well as lower level, or individual variation. Designing a study, in which the unit of observation is nested within higher level groupings, requires the determination of sample sizes at each level. This study investigates the design and analysis of various sampling strategies for a 3-level repeated measures design on the parameter estimates when the outcome variable of interest follows a Poisson distribution. ^ Results study suggest that second order PQL estimation produces the least biased estimates in the 3-level multilevel Poisson model followed by first order PQL and then second and first order MQL. The MQL estimates of both fixed and random parameters are generally satisfactory when the level 2 and level 3 variation is less than 0.10. However, as the higher level error variance increases, the MQL estimates become increasingly biased. If convergence of the estimation algorithm is not obtained by PQL procedure and higher level error variance is large, the estimates may be significantly biased. In this case bias correction techniques such as bootstrapping should be considered as an alternative procedure. For larger sample sizes, those structures with 20 or more units sampled at levels with normally distributed random errors produced more stable estimates with less sampling variance than structures with an increased number of level 1 units. For small sample sizes, sampling fewer units at the level with Poisson variation produces less sampling variation, however this criterion is no longer important when sample sizes are large. ^ 1Neuhaus J (1993). “Estimation efficiency and Tests of Covariate Effects with Clustered Binary Data”. Biometrics , 49, 989–996^

STRATEGIES FOR THE TRANSFER OF APPROPRIATE TECHNOLOGY TO DEVELOPING COUNTRIES: THE IMPLEMENTATION AND DEVELOPMENT OF ENVIRONMENTAL HEALTH PROGRAMS IN TUNISIA

This dissertation focuses on Project HOPE, an American medical aid agency, and its work in Tunisia. More specifically this is a study of the implementation strategies of those HOPE sponsored projects and programs designed to solve the problems of high morbidity and infant mortality rates due to environmentally related diarrheal and enteric diseases. Several environmental health programs and projects developed in cooperation with Tunisian counterparts are described and analyzed. These include (1) a paramedical manpower training program; (2) a national hospital sanitation and infection control program; (3) a community sewage disposal project; (4) a well reconstruction project; and (5) a solid-waste disposal project for a hospital.^ After independence, Tunisia, like many developing countries, encountered several difficulties which hindered progress toward solving basic environmental health problems and prompted a request for aid. This study discusses the need for all who work in development programs to recognize and assess those difficulties or constraints which affect the program planning process, including those latent cultural and political constraints which not only exist within the host country but within the aid agency as well. For example, failure to recognize cultural differences may adversely affect the attitudes of the host staff towards their work and towards the aid agency and its task. These factors, therefore, play a significant role in influencing program development decisions and must be taken into account in order to maximize the probability of successful outcomes.^ In 1969 Project HOPE was asked by the Tunisian government to assist the Ministry of Health in solving its health manpower problems. HOPE responded with several programs, one of which concerned the training of public health nurses, sanitary technicians, and aids at Tunisia's school of public health in Nabeul. The outcome of that program as well as the strategies used in its development are analyzed. Also, certain questions are addressed such as, what should the indicators of success be, and when is the time right to phase out?^ Another HOPE program analyzed involved hospital sanitation and infection control. Certain generic aspects of basic hospital sanitation procedures were documented and presented in the form of a process model which was later used as a "microplan" in setting up similar programs in other Tunisian hospitals. In this study the details of the "microplan" are discussed. The development of a nation-wide program without any further need of external assistance illustrated the success of HOPE's implementation strategies.^ Finally, although it is known that the high incidence of enteric disease in developing countries is due to poor environmental sanitation and poor hygiene practices, efforts by aid agencies to correct these conditions have often resulted in failure. Project HOPE's strategy was to maximize limited resources by using a systems approach to program development and by becoming actively involved in the design and implementation of environmental health projects utilizing "appropriate" technology. Three innovative projects and their implementation strategies (including technical specifications) are described.^ It is advocated that if aid agencies are to make any progress in helping developing countries basic sanitation problems, they must take an interdisciplinary approach to progrm development and play an active role in helping counterparts seek and identify appropriate technologies which are socially and economically acceptable. ^

Alternative Strategies for Identifying High-Performing Charter Schools in Texas

The Obama administration's recurring policy emphasis on high-performing charter schools begs the obvious question: how do you identify a high-performing charter school? That is a crucially important policy question because any evaluation strategy that incorrectly identifies charter school performance could have negative effects on the economically and/or academically disadvantaged students who frequently attend charter schools. If low-performing schools are mislabeled and allowed to persist or encouraged to expand, then students may be harmed directly. If high-performing schools are driven from the market by misinformation, then students will lose access to programs and services that can make a difference in their lives. Most of the scholarly analysis to date has focused on comparing the performance of students in charter schools to that of similar students in traditional public schools (TPS). By design, that research measures charter school performance only in relative terms. Charter schools that outperform similarly situated, but low performing, TPSs have positive effects, even if the charter schools are mediocre in an absolute sense. This analysis describes strategies for identifying high-performing charter schools by comparing charter schools with one another. We begin by describing salient characteristics of Texas charter schools. We follow that discussion with a look at how other researchers across the country have compared charter school effectiveness with TPS effectiveness. We then present several metrics that can be used to identify high-performing charter schools. Those metrics are not mutually exclusive—one could easily justify using multiple measures to evaluate school effectiveness—but they are also not equally informative. If the goal is to measure the contributions that schools are making to student knowledge and skills, then a value-added approach like the ones highlighted in this report is clearly superior to a levels-based approach like that taken under the current accountability system.