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The perception of target events presented in a rapid stream of non-targets is impaired for early target positions, but then gradually improves, a phenomenon known as attentional awakening. This phenomenon has been associated with better resource allocation. It is unclear though whether improved resource allocation and attentional awakening are a consequence of the temporal context, that is, the position of the target event in the stimulus stream, or are due to a simple expectancy or foreperiod effect. Expectancy is an alternative explanation of attentional awakening because it depends on the a posteriori probabilities, which will increase with target position when all target positions are equally likely. To differentiate between the expectancy and the temporal context account the a priori (objective) probability of target position was defined such that the a posteriori probability would be high for early and late, and low for intermediate target positions. EEG was collected and the P3 ERP evoked by target events was derived as an indicator of resource allocation. A robust attentional awakening effect was observed. The relationships between measures of performance and P3 amplitude, and respectively target position, a priori, and a posteriori probability were analyzed. Results showed that in contrast to target position, a posteriori probability had little impact on performance and did not moderate the association between P3 amplitude and performance. Results also indicated that in spite of the evident role of target position on resource allocation and the perception of target events in rapid stimulus streams, target position is likely not the only variable these are affected by. Nevertheless, the findings of the present study suggest that whereas the temporal context of a rapid serial event is a key player for resource allocation to and perception of the event, expectancy seems of very little consequence.  相似文献   
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Introduction: Regular physical activity can reduce the risk of developing diabetes in high risk populations including in women with gestational diabetes mellitus (GDM). This study applied the Health Action Process Approach (HAPA) to determine the motivational and volitional factors important in increasing physical activity among women with previous GDM.

Methods: Women with GDM receiving obstetric care at a teaching hospital in Sri Lanka were invited to participate in a survey 6–36 months post-delivery. At baseline and 8 weeks later, 152 women completed postal and telephone surveys that collected socio-cognitive and physical activity data. The study hypotheses were tested using structural equation modelling.

Results: The modified model fit the data well (CFI = .95, TLI = .94, RMSEA = .057) and explained 11% of the variance in behaviour. Action self-efficacy was the only important predictor of intention to be physically active. Intention as well as maintenance self-efficacy predicted planning, which, in turn, predicted physical activity. Planning mediated the effect of intention and self-efficacy (maintenance and recovery) on physical activity.

Conclusion: This study has identified predictors of physical activity among women with previous GDM that can inform intervention studies. Interventions targeting this population need to include planning strategies and enhance self-efficacy.  相似文献   

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