RESUMO
BACKGROUND: Depressive thoughts are known to persist in persons with depressed mood leading to rumination and exacerbation of depressive symptoms. What has not yet been examined is whether this persistence of depressive thoughts can lead to impairment of working memory (WM). METHODS: We assessed whether receiving a WM task featuring depressive cues could bias performance on a subsequent, non-depressive WM task for dysphoric individuals (DIs) compared to non-DIs. RESULTS: DIs showed significantly attenuated performance on the WM task with depressive cues compared to non-DIs. Further, when DIs were given the WM task with depressive cues first, they showed deficits on a second WM task without depressive cues, compared to DIs given the non-depressive WM task first and non-DIs in either condition. LIMITATIONS: Unselected recruitment procedures did not permit balanced sample sizes in each group. Future research is needed to assess whether these results extend to a clinically depressed sample and whether WM deficits are the consequence of depressed mood, or a risk factor for the development and maintenance of depressed mood. CONCLUSIONS: Results suggest that, for DIs, the influence of depressive cues on performance transfers to subsequent tasks in which these cues are no longer present. These results support the hypothesis that when depressive thoughts are part of depressed persons' conscious experience, cognitive deficits arise. Further, these results suggest an ecologically-relevant mechanism by which day-to-day cognitive deficits in depression can develop.
Assuntos
Transtornos Cognitivos/etiologia , Depressão/complicações , Transtornos da Memória/etiologia , Memória de Curto Prazo , Pensamento , Adulto , Transtornos Cognitivos/psicologia , Depressão/psicologia , Feminino , Humanos , Masculino , Transtornos da Memória/psicologia , Fatores de RiscoRESUMO
The relations among various spatial and mathematics skills were assessed in a cross-sectional study of 854 children from kindergarten, third, and sixth grades (i.e., 5 to 13 years of age). Children completed a battery of spatial mathematics tests and their scores were submitted to exploratory factor analyses both within and across domains. In the within domain analyses, all of the measures formed single factors at each age, suggesting consistent, unitary structures across this age range. Yet, as in previous work, the 2 domains were highly correlated, both in terms of overall composite score and pairwise comparisons of individual tasks. When both spatial and mathematics scores were submitted to the same factor analysis, the 2 domain specific factors again emerged, but there also were significant cross-domain factor loadings that varied with age. Multivariate regressions replicated the factor analysis and further revealed that mental rotation was the best predictor of mathematical performance in kindergarten, and visual-spatial working memory was the best predictor of mathematical performance in sixth grade. The mathematical tasks that predicted the most variance in spatial skill were place value (K, 3rd, 6th), word problems (3rd, 6th), calculation (K), fraction concepts (3rd), and algebra (6th). Thus, although spatial skill and mathematics each have strong internal structures, they also share significant overlap, and have particularly strong cross-domain relations for certain tasks. (PsycINFO Database Record
Assuntos
Desenvolvimento Infantil , Matemática , Memória de Curto Prazo , Processamento Espacial , Fatores Etários , Criança , Pré-Escolar , Estudos Transversais , Avaliação Educacional/métodos , Avaliação Educacional/estatística & dados numéricos , Análise Fatorial , Feminino , Humanos , MasculinoRESUMO
Previous research has identified several cognitive abilities that are important for multitasking, but few studies have attempted to measure a general multitasking ability using a diverse set of multitasks. In the final dataset, 534 young adult subjects completed measures of working memory (WM), attention control, fluid intelligence, and multitasking. Correlations, hierarchical regression analyses, confirmatory factor analyses, structural equation models, and relative weight analyses revealed several key findings. First, although the complex tasks used to assess multitasking differed greatly in their task characteristics and demands, a coherent construct specific to multitasking ability was identified. Second, the cognitive ability predictors accounted for substantial variance in the general multitasking construct, with WM and fluid intelligence accounting for the most multitasking variance compared to attention control. Third, the magnitude of the relationships among the cognitive abilities and multitasking varied as a function of the complexity and structure of the various multitasks assessed. Finally, structural equation models based on a multifaceted model of WM indicated that attention control and capacity fully mediated the WM and multitasking relationship. (PsycINFO Database Record