Depression and poverty among African American women at risk for type 2 diabetes

Poverty is associated with negative health outcomes, including depression. Little is known about the specific elements of poverty that contribute to depression, particularly among African American women at risk for type 2 diabetes. This study examined the relationships of economic and social resources to depression among African American women at high risk for the development of type 2 diabetes (N = 181) using the Conservation of Resources theory as a conceptual framework. Women were assessed at 3 time points in conjunction with a dietary change intervention. At baseline, 40% of women reported clinically significant depression, and 43.3% were below the poverty line. Depressed women reported fewer economic assets and greater economic distress than nondepressed peers. Multivariate logistic regression analyses indicated that nonwork status, lack of home ownership, low appraisal of one’s economic situation, low self-esteem, and increased life events were significantly associated with depression at baseline. Longitudinal multivariate logistic regression models indicated that income, home ownership, future economic appraisal, life events, and self-esteem predicted depression trajectories at Time 3. These results speak to the multifaceted sources of stress in the lives of poor African American women. Interventions that address the economic and social factors associated with depression are needed

Depression and Poverty Among African-American Women at Risk for Type 2 Diabetes

Poverty is associated with negative health outcomes, including depression. Little is known about the specific elements of poverty that contribute to depression, particularly among African- American women at risk for type 2 diabetes. This study examined the relationships of economic and social resources to depression among African-American women at high risk for the development of type 2 diabetes (N=181) using the Conservation of Resources (COR) theory as a conceptual framework. Women were assessed at three time points in conjunction with a dietary change intervention. At baseline, 40% of women reported clinically significant depression and 43.3% were below the poverty line. Depressed (CESD total score \u3e 16) women reported fewer economic assets and greater economic distress than non-depressed peers. Multivariate logistic regression analyses indicated that non-work status, lack of home ownership, low appraisal of economic situation, low self-esteem, and increased life events were significantly associated with depression at baseline. Longitudinal multivariate logistic regression models indicated that income, home ownership, future economic appraisal, life events and self-esteem predicted depression trajectories at Time 3. These results speak to the multifaceted sources of stress in the lives of poor African-American women. Interventions that address the economic and social factors associated with depression are needed

Expert chess memory: Revisiting the chunking hypothesis

After reviewing the relevant theory on chess expertise, this paper re-examines experimentally the finding of Chase and Simon (1973a) that the differences in ability of chess players at different skill levels to copy and to recall positions are attributable to the experts' storage of thousands of chunks (patterned clusters of pieces) in long-term memory. Despite important differences in the experimental apparatus, the data of the present experiments regarding latencies and chess relations between successively placed pieces are highly correlated with those of Chase and Simon. We conclude that the 2-second inter-chunk interval used to define chunk boundaries is robust, and that chunks have psychological reality. We discuss the possible reasons why Masters in our new study used substantially larger chunks than the Master of the 1973 study, and extend the chunking theory to take account of the evidence for large retrieval structures (templates) in long-term memory

Identification of clinical disease trajectories in neurodegenerative disorders with natural language processing

Neurodegenerative disorders exhibit considerable clinical heterogeneity and are frequently misdiagnosed. This heterogeneity is often neglected and difficult to study. Therefore, innovative data-driven approaches utilizing substantial autopsy cohorts are needed to address this complexity and improve diagnosis, prognosis and fundamental research. We present clinical disease trajectories from 3,042 Netherlands Brain Bank donors, encompassing 84 neuropsychiatric signs and symptoms identified through natural language processing. This unique resource provides valuable new insights into neurodegenerative disorder symptomatology. To illustrate, we identified signs and symptoms that differed between frequently misdiagnosed disorders. In addition, we performed predictive modeling and identified clinical subtypes of various brain disorders, indicative of neural substructures being differently affected. Finally, integrating clinical diagnosis information revealed a substantial proportion of inaccurately diagnosed donors that masquerade as another disorder. The unique datasets allow researchers to study the clinical manifestation of signs and symptoms across neurodegenerative disorders, and identify associated molecular and cellular features

Autoimmune lymphoproliferative syndrome (ALPS) in a child from consanguineous parents: a dominant or recessive disease?

Autoimmune lymphoproliferative syndrome (ALPS) is characterized by autoimmune features and lymphoproliferations and is generally caused by defective Fas-mediated apoptosis. This report describes a child with clinical features of ALPS without detectable Fas expression on freshly isolated blood leukocytes. Detection of FAS transcripts via real-time quantitative PCR made a severe transcriptional defect unlikely. Sequencing of the FAS gene revealed a 20-nucleotide duplication in the last exon affecting the cytoplasmic signaling domain. The patient was homozygous for this mutation, whereas the consanguineous parents and the siblings were heterozygous. The patient reported here is a human homologue of the Fas-null mouse, inasmuch as she carries an autosomal homozygous mutation in the FAS gene and she shows the severe and accelerated ALPS phenotype. The heterozygous family members did not have the ALPS phenotype, indicating that the disease-causing FAS mutation in this family is autosomal recessive

Executive functioning in children with autism and Tourette syndrome

The main aims of this study were to investigate if children with high-functioning autism (HFA) and children with Tourette syndrome (TS) can be differentiated in their executive functioning (EF) profile compared to normal controls (NCs) and compared to each other and to investigate whether children with HFA or children with TS and a comorbid group of children with both disorders are distinct conditions in terms of EF. Four groups of children participated in this study: HFA, TS, comorbid HFA + TS, and a NC group. All children were in the age range of 6 to 13 years. The groups were compared on five major domains of EF: inhibition, visual working memory, planning, cognitive flexibility, and verbal fluency. Children with HFA scored lower than NC children on all the EFs measured. Children with TS and NC children showed the same EF profile. The HFA group scored lower than the TS group for inhibition of a prepotent response and cognitive flexibility. Children with HFA performed poorer than children with comorbid HFA + TS on all functions, with the exception of inhibiting an ongoing response, interference control, and verbal fluency. Children with TS and children with comorbid HFA + TS could not be differentiated from one another in terms of EF. This study indicates that EF deficits are highly characteristic of children with HFA in comparison to children with TS and NC. The results suggest that for the comparison between HFA and TS groups, it is important to take into account comorbidity. A reevaluation of the EF hypothesis in children with TS is suggested. Copyright © 2005 Cambridge University Press