Improving Rural Educational Attainment

More often than not, policymakers focus on school-based strategies to spur improvements in the educational progress of students. The 2002 No Child Left Behind Act, which demands greater school accountability for student performance, is a case in point. Yet, what happens in the classroom is only part of the story.In fact, as Lionel J. Beaulieu, Glenn D. Israel and Ronald C. Wimberley show in their chapter in "Challenges for Rural America in the Twenty-First Century", family characteristics have from 5 to 10 times as much impact as school characteristics on reading and math scores of rural U.S. eighth graders.In addition, community characteristics have as much impact as school characteristics on test scores, although both community and chool characteristics tend to be more important in geographically isolated rural areas than those adjacent to metropolitan areas. Clearly, helping rural youth succeed academically is the collective responsibility of families, schools, and communities.This issue brief is a joint product of the Rural Sociological Society and the National Coalition for Rural Entrepreneurship, a collaboration of four Regional Rural Development Centers: The Northeast Regional Center for Rural Development, the Southern Rural Development Center, the North Central Regional Center for Rural Development, and the Western Rural Development Center. Funding was also made available from the Ford Foundation.This brief is part of a policy brief series by the Rural Sociological Society and the Regional Rural Development Centers that stresses the importance of community collective action and developing the capacity of people and organizations to meet the community's needsThe Rural Sociological Society and the Regional Rural Development Centers creates new Public Policy Issue Brief series based on its recent book, "Challenges for Rural America in the Twenty-First Century".The briefs synthesize the context and substance of important issues raised in the book and address alternative policy options, with the goal of bringing important research to the policy community

AMERICA'S FORGOTTEN PEOPLE AND PLACES: ENDING THE LEGACY OF POVERTY IN THE RURAL SOUTH

This study focuses on the longstanding impoverishment of the rural South and three of its subregions-Appalachia, the Mississippi Delta, and the Black Belt. The poor quality of life in rural Appalachia and along the Mississippi Delta has been publically acknowledged by programs and commissions for improving conditions. However, the more comprehensive Black Belt subregion that links parts of Southern Appalachia and the Southern Delta has not received such regional policy attention. While the South as a whole is more rural and impoverished than other U.S. regions, this is largely due to the poor conditions in the Black Belt. In addition to region and rurality, a third feature of the pattern is race. It is in the Black Belt that the South's poor socioeconomic conditions are most concentrated. Policy and program attention are needed for regional solutions that take rurality and race into account along with demographic and other subregional characteristics.Appalachia, Black Belt, Mississippi Delta, policy, poverty, quality of life, rural, South, Community/Rural/Urban Development,

Dimensions of Farm Commodity Production: Horses, Strawberries, and Why

To better understand the social context of food and fiber production, more and more researchers are beginning to study the production of agricultural commodities as independent, dependent, and intervening variables. Typically, these commodity variables are measured in terms of separate crop or livestock products or by ad hoc indexes that summarize several commodities. To assess and better understand the spectrum of farm commodities examined in such research, this study uses North Carolina data from the U.S. Census of Agriculture to factor analyze various indicators of crop and livestock production and to determine any underlying, empirical dimensions. Explanations of the empirical combinations involve ecological relationships, biotechnical and geographic patterns, and agricultural coincidence. These dimensions offer a basis for improved measurement and indexing of commodity production as well as a basis for analyzing related variables such as siting agribusinesses and services, or studying impacts on social well-being in farm areas

The Regionalization of Poverty: Assistance for the Black Belt South?

Rural poverty is largely regional. The nation\u27s primary region of rural poverty is the Black Belt South that stretches through 11 states from Virginia to Texas. In this area, like in other rural expanses of the United States, urban places typically fall within state lines while rural areas run across state lines and create multistate regions of rural poverty. The federal government provides block grants to address many of the public assistance needs of state populations. State-level block grants may be appropriate for serving urban areas within states, but they do not address regional-level poverty and welfare requirements across multistate rural regions. Regional organization is required to address public assistance in rural regions and to equitably coordinate the major effort necessary to turn the course of poverty in the Black Belt South

A Federal Commission for the Black Belt South

Recent legislation by the U.S. Congress authorized a federal regional commission for the Black Belt South. Three southern social scientists first proposed the commission at Tuskegee University’s Professional Agricultural Workers Conference in 1990. Following congressional seminars on the Black Belt by Ronald Wimberley and Libby Morris, the first legislation for the commission was introduced in the U.S. House of Representatives in 1994. After a succession of 12 U.S. House and Senate Bills, Congress finally authorized “the Southeast Crescent Regional Commission” in 2008 with support by various, and sometimes competing, groups. This paper traces and updates the chronology of sociological research, university initiatives, grassroots support, and policy efforts involved in establishing the Commission. Suggestions are offered for improving the Commission and the types of programs the Commission may use to improve the historic and contemporary poor quality of life in the Southern Black Belt

Clozapine use in childhood and adolescent schizophrenia: A nationwide population-based study

Early onset schizophrenia (EOS) begins in childhood or adolescence. EOS is associated with poor treatment response and may benefit from timely use of clozapine. This study aimed to identify the predictors of clozapine use in EOS and characterize the clinical profile and outcome of clozapine-treated youths with schizophrenia. We conducted a nationwide population-based study using linked data from Danish medical registries. We examined all incident cases of EOS (i.e., cases diagnosed prior to their 18th birthday) between December 31st 1994 and December 31st 2006 and characterized their demographic, clinical and treatment profiles. We then used multivariable cox proportional hazard models to identify predictors of clozapine treatment in this patient population. We identified 662 EOS cases (1.9% of all schizophrenia cases), of whom 108 (17.6%) had commenced clozapine by December 31st 2008. Patients had on average 3 antipsychotic trials prior to clozapine initiation. The mean interval between first antipsychotic treatment and clozapine initiation was 3.2 (2.9) years. Older age at diagnosis of schizophrenia [HR=1.2, 95% CI (1.05-1.4), p=0.01], family history of schizophrenia [HR=2.1, 95% CI (1.1-3.04), p=0.02] and attempted suicide [HR=1.8, 95% CI (1.1-3.04), p=0.02] emerged as significant predictors of clozapine use. The majority of patients (n=96, 88.8%) prescribed clozapine appeared to have a favorable clinical response as indicated by continued prescription redemption and improved occupational outcomes. Our findings support current recommendations for the timely use of clozapine in EOS

Validation of an algorithm-based definition of treatment resistance in patients with schizophrenia

Large-scale pharmacoepidemiological research on treatment resistance relies on accurate identification of people with treatment-resistant schizophrenia (TRS) based on data that are retrievable from administrative registers. This is usually approached by operationalising clinical treatment guidelines by using prescription and hospital admission information. We examined the accuracy of an algorithm-based definition of TRS based on clozapine prescription and/or meeting algorithm-based eligibility criteria for clozapine against a gold standard definition using case notes. We additionally validated a definition entirely based on clozapine prescription. 139 schizophrenia patients aged 18–65 years were followed for a mean of 5 years after first presentation to psychiatric services in South-London, UK. The diagnostic accuracy of the algorithm-based measure against the gold standard was measured with sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). A total of 45 (32.4%) schizophrenia patients met the criteria for the gold standard definition of TRS; applying the algorithm-based definition to the same cohort led to 44 (31.7%) patients fulfilling criteria for TRS with sensitivity, specificity, PPV and NPV of 62.2%, 83.0%, 63.6% and 82.1%, respectively. The definition based on lifetime clozapine prescription had sensitivity, specificity, PPV and NPV of 40.0%, 94.7%, 78.3% and 76.7%, respectively. Although a perfect definition of TRS cannot be derived from available prescription and hospital registers, these results indicate that researchers can confidently use registries to identify individuals with TRS for research and clinical practices

In Vivo Measurement of Hippocampal GABAA/cBZR Density with [18F]-Flumazenil PET for the Study of Disease Progression in an Animal Model of Temporal Lobe Epilepsy

PURPOSE: Imbalance of inhibitory GABAergic neurotransmission has been proposed to play a role in the pathogenesis of temporal lobe epilepsy (TLE). This study aimed to investigate whether [(18)F]-flumazenil ([(18)F]-FMZ) PET could be used to non-invasively characterise GABA(A)/central benzodiazepine receptor (GABA(A)/cBZR) density and affinity in vivo in the post-kainic acid status epilepticus (SE) model of TLE. METHODS: Dynamic [(18)F]-FMZ -PET scans using a multi-injection protocol were acquired in four male wistar rats for validation of the partial saturation model (PSM). SE was induced in eight male Wistar rats (10 weeks of age) by i.p. injection of kainic acid (7.5–25 mg/kg), while control rats (n = 7) received saline injections. Five weeks post-SE, an anatomic MRI scan was acquired and the following week an [(18)F]-FMZ PET scan (3.6–4.6 nmol). The PET data was co-registered to the MRI and regions of interest drawn on the MRI for selected structures. A PSM was used to derive receptor density and apparent affinity from the [(18)F]-FMZ PET data. KEY FINDINGS: The PSM was found to adequately model [(18)F]-FMZ binding in vivo. There was a significant decrease in hippocampal receptor density in the SE group (p<0.01), accompanied by an increase in apparent affinity (p<0.05) compared to controls. No change in cortical receptor binding was observed. Hippocampal volume reduction and cell loss was only seen in a subset of animals. Histological assessment of hippocampal cell loss was significantly correlated with hippocampal volume measured by MRI (p<0.05), but did not correlate with [(18)F]-FMZ binding. SIGNIFICANCE: Alterations to hippocampal GABA(A)/cBZR density and affinity in the post-kainic acid SE model of TLE are detectable in vivo with [(18)F]-FMZ PET and a PSM. These changes are independent from hippocampal cell and volume loss. [(18)F]-FMZ PET is useful for investigating the role that changes GABA(A)/cBZR density and binding affinity play in the pathogenesis of TLE