BackgroundCounties are the smallest unit for which mortality data are routinely available, allowing consistent and comparable long-term analysis of trends in health disparities. Average life expectancy has steadily increased in the United States but there is limited information on long-term mortality trends in the US counties This study aimed to investigate trends in county mortality and cross-county mortality disparities, including the contributions of specific diseases to county level mortality trends.Methods and FindingsWe used mortality statistics (from the National Center for Health Statistics [NCHS]) and population (from the US Census) to estimate sex-specific life expectancy for US counties for every year between 1961 and 1999. Data for analyses in subsequent years were not provided to us by the NCHS. We calculated different metrics of cross-county mortality disparity, and also grouped counties on the basis of whether their mortality changed favorably or unfavorably relative to the national average. We estimated the probability of death from specific diseases for counties with above- or below-average mortality performance. We simulated the effect of cross-county migration on each county's life expectancy using a time-based simulation model. Between 1961 and 1999, the standard deviation (SD) of life expectancy across US counties was at its lowest in 1983, at 1.9 and 1.4 y for men and women, respectively. Cross-county life expectancy SD increased to 2.3 and 1.7 y in 1999. Between 1961 and 1983 no counties had a statistically significant increase in mortality; the major cause of mortality decline for both sexes was reduction in cardiovascular mortality. From 1983 to 1999, life expectancy declined significantly in 11 counties for men (by 1.3 y) and in 180 counties for women (by 1.3 y); another 48 (men) and 783 (women) counties had nonsignificant life expectancy decline. Life expectancy decline in both sexes was caused by increased mortality from lung cancer, chronic obstructive pulmonary disease (COPD), diabetes, and a range of other noncommunicable diseases, which were no longer compensated for by the decline in cardiovascular mortality. Higher HIV/AIDS and homicide deaths also contributed substantially to life expectancy decline for men, but not for women. Alternative specifications of the effects of migration showed that the rise in cross-county life expectancy SD was unlikely to be caused by migration.ConclusionsThere was a steady increase in mortality inequality across the US counties between 1983 and 1999, resulting from stagnation or increase in mortality among the worst-off segment of the population. Female mortality increased in a large number of counties, primarily because of chronic diseases related to smoking, overweight and obesity, and high blood pressure.
The goal of this study was to determine if serotonergic activity, which is impaired in depression, regulates the phosphorylation of glycogen synthase kinase-3b (GSK3b) in mouse brain in vivo. GSK3b is inhibited by phosphorylation on serine-9 and is a target of the mood stabilizer lithium. Following administration to mice of d-fenfluramine to stimulate serotonin (5HT) release and reduce its reuptake, and clorgyline to inhibit 5HT catabolism, levels of phospho-Ser9-GSK3b were 300-400% of control levels in the prefrontal cortex, hippocampus, and striatum. Treatment with monoamine reuptake inhibitors fluoxetine and imipramine also increased the level of phospho-Ser9-GSK3b. Using receptor selective agonists and antagonists, 5HT1A receptors were found to mediate increases, and 5HT2 receptors decreases, in phospho-Ser9-GSK3b levels. This indicates that serotonergic regulation of the phosphorylation of GSK3b is achieved by a balance between the opposing actions of these 5HT receptor subtypes. These findings demonstrate for the first time that serotonergic activity regulates the phosphorylation of GSK3b and show that this regulation occurs in mammalian brain in vivo. These results raise the possibility that impaired inhibitory control of GSK3b may occur in conditions where serotonergic activity is dysregulated, such as in mood disorders.
Glycogen synthase kinase-3 (GSK3) has been recognized as an important enzyme that modulates many aspects of neuronal function. Accumulating evidence implicates abnormal activity of GSK3 in mood disorders and schizophrenia, and GSK3 is a potential protein kinase target for psychotropics used in these disorders. We previously reported that serotonin, a major neurotransmitter involved in mood disorders, regulates GSK3 by acutely increasing its N-terminal serine phosphorylation. The present study was undertaken to further determine if atypical antipsychotics, which have therapeutic effects in both mood disorders and schizophrenia, can regulate phospho-Ser-GSK3 and inhibit its activity. The results showed that acute treatment of mice with risperidone rapidly increased the level of brain phospho-Ser-GSK3 in the cortex, hippocampus, striatum, and cerebellum in a dose-dependent manner. Regulation of phospho-Ser-GSK3 was a shared effect among several atypical antipsychotics, including olanzapine, clozapine, quetiapine, and ziprasidone. In addition, combination treatment of mice with risperidone and a monoamine reuptake inhibitor antidepressant imipramine or fluoxetine elicited larger increases in brain phospho-Ser-GSK3 than each agent alone. Taken together, these results provide new information suggesting that atypical antipsychotics, in addition to mood stabilizers and antidepressants, can inhibit the activity of GSK3. These findings may support the pharmacological mechanisms of atypical antipsychotics in the treatment of mood disorders.
IMPORTANCE Current measures of access to care have intrinsic limitations and may not accurately reflect the capacity of the primary care system to absorb new patients.OBJECTIVE To assess primary care appointment availability by state and insurance status. DESIGN, SETTING, AND PARTICIPANTSWe conducted a simulated patient study. Trained field staff, randomly assigned to private insurance, Medicaid, or uninsured, called primary care offices requesting the first available appointment for either routine care or an urgent health concern. The study included a stratified random sample of primary care practices treating nonelderly adults within each of 10 states
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