91 resultados para Hierarchical regression.
em BORIS: Bern Open Repository and Information System - Berna - Suiça
Resumo:
Purpose Recovery is a critical link between acute reactions to work-stressors and the development of health-impairments in the long run. Even though recovery is particularly necessary when recovery opportunities during work are insufficient, research on recovery during weekends, is still scarce. To fill this gap we tested, whether the inability to psychologically detach from work mediates the effect of social stressors at work on sleep quality on Sunday night. Design/Methodology Sixty full-time employees participated in the study. Daily assessment included diaries on psychological detachment and ambulatory actigraphy to assess psychophysiological indicators of sleep quality. Results Hierarchical regression analyses revealed social stressors at work to be related with psychological detachment and with several sleep quality parameters on Sunday night. Furthermore, psychological detachment from work mediated the effect of social stressors at work on sleep quality. Limitations Methodological considerations regarding the use of actigraphy data should be taken into account. Research/Practical Implications Our results show that social stressors at work may lower resources just before people get started into the new working week. Originality/Value This is the first study to show that social stressors at work are an antecedent of psychological detachment on Sunday evening and of objective sleep quality on Sunday.
Resumo:
Spousal loss is an inevitable critical life event for most individuals in old age, mostly associated with a negative impact on various well-being measures, ie. lower life satisfaction, higher rates of loneliness and depressive symptoms compared to married peers. While the negative effects on well-being are well documented in literature, the modifying factors accounting for the large variability in adaptation to loss are discussed controversially. The potential relevance of personality in the adaptation process has rarely been examined and findings regarding the role of time since loss are contradictory. Based on a vulnerability-stress-model this contribution aims a) to compare psychological well-being of bereaved individuals with married counterparts and b) to investigate the protective effects of different personality traits (Big Five, resilience), and the role of time since loss for adaptation in terms of life satisfaction, loneliness and depression. Data from a questionnaire study about the loss of a spouse in middle and old age in the German- and French-speaking parts of Switzerland are reported. The study is part of the Swiss National Centre of Competence in Research LIVES (Swiss National Science Foundation). The sample consists of 351 widowed persons (39% men, widowed since 0 - 5 years), and 605 married controls (50% men), aged 60 - 89 years. Group comparisons reveal the detrimental effect of spousal bereavement on all indicators of psychological adaptation. Results from hierarchical regression analyses show furthermore, that the effect of spousal loss on all psychological outcomes is moderated by personality traits. Separate analyses with the group of bereaved individuals suggest, that the protective effect of personality varies by the time passed since loss. Our results contribute to a better understanding of the variability in psychological adaptation to spousal loss in old age and give hints for counselling practice.
Resumo:
Theoretical background and objectives: Stress reducing effects of Taiji practice have been repeatedly reported. The aim of the present study was to investigate which persons benefit the most from Taiji practice in terms of reduced physiological stress reactivity. Methods: We conducted a secondary data analysis of a randomized controlled Taiji trial that significantly lowered stress reactivity of salivary cortisol and alpha-amylase in a Taiji group (n = 26) compared to a control group (n = 23). By using hierarchical regression analyses potential moderating influences of self-reported trait-mindfulness and trait values of general psychological stress reactivity on stress protective effects of a three months Taiji training were examined. Moderator variables were assessed at the beginning of the study using the Freiburg-Mindfulness-Inventory and the Perceived- Stress-Reactivity-Scale. Results: The interaction effect "study group x mindfulness" was significant for stress reactivity of salivary alpha-amylase (p = 0.050). Participants in the Taiji group with higher trait-mindfulness showed a lower salivary alpha-amylase stress reactivity, while in the control group higher trait-mindfulness was associated with higher alpha-amylase stress reactivity. In the control group (p = 0.042) but not in the Taiji group (p = 0.69) salivary cortisol stress reactivity was significantly increased in persons with higher trait-mindfulness scores. We could not find moderating effects of general psychological stress reactivity. Conclusion: Our results suggest that without intervention higher trait-mindfulness is associated with increased physiological stress reactivity. Persons with higher trait-mindfulness seem to benefit the most from practicing Taiji in terms of reduced sympathetic stress reactivity.
Resumo:
Social stressors at work may result in long-term health impairments if recovery is insufficient. In the present psychophysiological field study, we tested whether the inability to psychologically detach from work issues mediates the negative effect of social stressors at work on sleep during weekends. Sixty full-time employees participated in the study. Daily assessment included diaries on psychological detachment and continuous ambulatory actigraphy to assess psychophysiological indicators of sleep. Hierarchical regression analyses revealed that enduring social stressors at work were negatively related with psychological detachment on Sunday evening and negatively related with various sleep indicators on Sunday night. Furthermore, psychological detachment from work on Sunday evening partially mediated the effect of social stressors at work on two sleep indicators. Social stressors at work may threaten recovery processes just before the working week starts.
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The present study explores teacher emotions, in particular how they are predicted by students’ behaviour and the interpersonal aspect of the teacher-student relationship (TSR). One hundred thirty-two secondary teachers participated in a quantitative study relying on self-report questionnaire data. Based on the model of teacher emotions by Frenzel (2014), teachers rated their experienced joy, anger and anxiety during classroom instruction (dependent variable). Students’ motivational behaviour (= engagement), socio-emotional behaviour (= discipline in class) and relational behaviour (= closeness; interpersonal TSR) were assessed as the independent variables. Teachers’ self-efficacy beliefs served as a control variable. Hierarchical regression analysis revealed that the interpersonal relationship formed between teachers and students was the strongest predictor for teachers’ joy (positive relation) and anxiety (negative relation), whereas lack of discipline in class best predicted teachers’ anger experiences. Students’ engagement also proved a significant predictor of teacher emotions. The results suggest that interpersonal TSR plays a particularly important role in teachers’ emotional experiences in class.
Resumo:
In der vorliegenden Studie wird ausgehend von der Annahme, dass Personen bestrebt sind, für sich Wohlbefinden zu erzielen bzw. aufrechtzuerhalten, Fehlen als ein Mittel zu diesem Ziel hin konzeptualisiert. Es wird der Frage nachgegangen, welcher der beiden Indikatoren des subjektiven Wohlbefindens - allgemeine Gesundheitsbewertung vs. Arbeitszufriedenheit - für die Erklärung von Fehlzeiten von höherer Relevanz ist. Es wird erwartet, dass der kontextungebundene Indikator psychischen und körperlichen Wohlbefindens stark mit Fehlzeiten zusammenhängt, während der arbeitspezifische Indikator in keiner Beziehung zu den selbstberichteten Fehlzeiten steht. 1 410 Beschäftigte einer Telekommunikationsfirma wurden befragt. Die Ergebnisse hierarchischer Regressionsanalysen bestätigen die vermuteten Zusammenhänge und geben korrelative Hinweise für den postulierten Mechanismus.
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OBJECTIVES Myocardial infarction (MI) may be experienced as a traumatic event causing acute stress disorder (ASD). This mental disorder has an impact on the daily life of patients and is associated with the development of post-traumatic stress disorder. Trait resilience has been shown to be a protective factor for post-traumatic stress disorder, but its association with ASD in patients with MI is elusive and was examined in this study. METHODS We investigated 71 consecutive patients with acute MI within 48 h of having stable haemodynamic conditions established and for 3 months thereafter. All patients completed the Acute Stress Disorder Scale and the Resilience Scale to self-rate the severity of ASD symptoms and trait resilience, respectively. RESULTS Hierarchical regression analysis showed that greater resilience was associated with lower symptoms of ASD independent of covariates (b=-0.22, p<0.05). Post hoc analysis revealed resilience level to be inversely associated with the ASD symptom clusters of re-experiencing (b=-0.05, p<0.05) and arousal (b=-0.09, p<0.05), but not with dissociation and avoidance. CONCLUSIONS The findings suggest that patients with acute MI with higher trait resilience experience relatively fewer symptoms of ASD during MI. Resilience was particularly associated with re-experiencing and arousal symptoms. Our findings contribute to a better understanding of resilience as a potentially important correlate of ASD in the context of traumatic situations such as acute MI. These results emphasise the importance of identifying patients with low resilience in medical settings and to offer them adequate support.
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Traumatic experiences may affect an individual's ability to exercise self-control, which is an essential characteristic for successfully managing life. As a measure of self-control, we used the delay discounting paradigm, that is, the extent to which a person devalues delayed gratification. The aim of this study was to investigate the relationship between childhood trauma and delay discounting using a control group design with elderly participants with a mean age of 76.2 years. Swiss former indentured child laborers (n=103) who had been exposed to trauma during their childhood were compared with nontraumatized controls (n=50). The trauma exposure group showed a considerably higher preference for immediate smaller rewards than the controls, indicating their lower self-control. A hierarchical regression analysis revealed that a history of abuse, current self-efficacy, and education were significantly associated with delay discounting. Implications for future research are discussed.
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In this paper, we evaluate the impact of associational life on individual political trust in 57 Swiss municipalities. Our hierarchical regression models show that individual political trust is not only affected by individual associational membership but also by the exchange between associations and local political authorities in a community. In other words, if political authorities and associations are linked at the community level, citizens will place more trust in their local institutions. Furthermore, we find clear evidence for the rainmaker hypothesis: our results show that the positive effect of a vibrant connection between associational life and local politics on political trust is not solely confined to the associational members themselves, but rather indicate that the structure of the local civic culture fosters political trust among members and non-members at the same time. However, the internal democratic processes of associations have no effect on individuals’ trust in local political institutions.
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Knowledge of landmarks and contours in anteroposterior (AP) pelvis X-rays is invaluable for computer aided diagnosis, hip surgery planning and image-guided interventions. This paper presents a fully automatic and robust approach for landmarking and segmentation of both pelvis and femur in a conventional AP X-ray. Our approach is based on random forest regression and hierarchical sparse shape composition. Experiments conducted on 436 clinical AP pelvis x-rays show that our approach achieves an average point-to-curve error around 1.3 mm for femur and 2.2 mm for pelvis, both with success rates around 98%. Compared to existing methods, our approach exhibits better performance in both the robustness and the accuracy.
Resumo:
In clinical practice, traditional X-ray radiography is widely used, and knowledge of landmarks and contours in anteroposterior (AP) pelvis X-rays is invaluable for computer aided diagnosis, hip surgery planning and image-guided interventions. This paper presents a fully automatic approach for landmark detection and shape segmentation of both pelvis and femur in conventional AP X-ray images. Our approach is based on the framework of landmark detection via Random Forest (RF) regression and shape regularization via hierarchical sparse shape composition. We propose a visual feature FL-HoG (Flexible- Level Histogram of Oriented Gradients) and a feature selection algorithm based on trace radio optimization to improve the robustness and the efficacy of RF-based landmark detection. The landmark detection result is then used in a hierarchical sparse shape composition framework for shape regularization. Finally, the extracted shape contour is fine-tuned by a post-processing step based on low level image features. The experimental results demonstrate that our feature selection algorithm reduces the feature dimension in a factor of 40 and improves both training and test efficiency. Further experiments conducted on 436 clinical AP pelvis X-rays show that our approach achieves an average point-to-curve error around 1.2 mm for femur and 1.9 mm for pelvis.
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In this paper, we propose a fully automatic, robust approach for segmenting proximal femur in conventional X-ray images. Our method is based on hierarchical landmark detection by random forest regression, where the detection results of 22 global landmarks are used to do the spatial normalization, and the detection results of the 59 local landmarks serve as the image cue for instantiation of a statistical shape model of the proximal femur. To detect landmarks in both levels, we use multi-resolution HoG (Histogram of Oriented Gradients) as features which can achieve better accuracy and robustness. The efficacy of the present method is demonstrated by experiments conducted on 150 clinical x-ray images. It was found that the present method could achieve an average point-to-curve error of 2.0 mm and that the present method was robust to low image contrast, noise and occlusions caused by implants.
Resumo:
We have investigated the use of hierarchical clustering of flow cytometry data to classify samples of conventional central chondrosarcoma, a malignant cartilage forming tumor of uncertain cellular origin, according to similarities with surface marker profiles of several known cell types. Human primary chondrosarcoma cells, articular chondrocytes, mesenchymal stem cells, fibroblasts, and a panel of tumor cell lines from chondrocytic or epithelial origin were clustered based on the expression profile of eleven surface markers. For clustering, eight hierarchical clustering algorithms, three distance metrics, as well as several approaches for data preprocessing, including multivariate outlier detection, logarithmic transformation, and z-score normalization, were systematically evaluated. By selecting clustering approaches shown to give reproducible results for cluster recovery of known cell types, primary conventional central chondrosacoma cells could be grouped in two main clusters with distinctive marker expression signatures: one group clustering together with mesenchymal stem cells (CD49b-high/CD10-low/CD221-high) and a second group clustering close to fibroblasts (CD49b-low/CD10-high/CD221-low). Hierarchical clustering also revealed substantial differences between primary conventional central chondrosarcoma cells and established chondrosarcoma cell lines, with the latter not only segregating apart from primary tumor cells and normal tissue cells, but clustering together with cell lines from epithelial lineage. Our study provides a foundation for the use of hierarchical clustering applied to flow cytometry data as a powerful tool to classify samples according to marker expression patterns, which could lead to uncover new cancer subtypes.