Quality of life and post trauma symptomatology in motor vehicle accident survivors: The mediating effects of depression and anxiety

2004 ◽  
Vol 20 (4) ◽  
pp. 187-189 ◽  
Author(s):  
Berglind Gudmundsdottir ◽  
J. Gayle Beck ◽  
Scott F. Coffey ◽  
Luana Miller ◽  
Sarah A. Palyo
2009 ◽  
Vol 63 (2) ◽  
pp. 235-237 ◽  
Author(s):  
Yutaka Matsuoka ◽  
Daisuke Nishi ◽  
Satomi Nakajima ◽  
Naohiro Yonemoto ◽  
Hiroko Noguchi ◽  
...  

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
Amanda D. Rice ◽  
Leslie B. Wakefield ◽  
Kimberley Patterson ◽  
Evette D'Avy Reed ◽  
Belinda F. Wurn ◽  
...  

In this case study, we report the use of manual physical therapy in a pediatric patient experiencing complications from a life-threatening motor vehicle accident that necessitated 19 surgeries over the course of 12 months. Post-surgical adhesions decreased the patient’s quality of life. He developed multiple medical conditions including recurrent partial bowel obstructions and an ascending testicle. In an effort to avoid further surgery for bowel obstruction and the ascending testicle, the patient was effectively treated with a manual physical therapy regimen focused on decreasing adhesions. The therapy allowed return to an improved quality of life, significant decrease in subjective reports of pain and dysfunction, and apparent decreases in adhesive processes without further surgery, which are important goals for all patients, but especially for pediatric patients.


2020 ◽  
pp. 105477382094798
Author(s):  
Songli Mei ◽  
Zeying Qin ◽  
Yang Yang ◽  
Tingting Gao ◽  
Hui Ren ◽  
...  

The present study aimed to determine the mediating effects of depression and anxiety on the association between life satisfaction and quality of life. We used the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and EuroQol Five Dimensions Questionnaire (EQ-5D) to measure depression, anxiety, and quality of life, respectively. A single question was used to measure the life satisfaction of participants. Life satisfaction was significantly related with depression ( r = −0.17), anxiety ( r = −0.18), and quality of life ( r = 0.19). Depression and anxiety were also related to quality of life. Depression and anxiety had full mediating effects (β = −0.274; β = −0.208) on the association between life satisfaction and quality of life. For those with poor life satisfaction, people were more likely to have high level of depression and anxiety, which in turn experienced poor quality of life.


2020 ◽  
Vol 35 ◽  
pp. 153331751988526 ◽  
Author(s):  
Johanne B. Tonga ◽  
Dag-Erik Eilertsen ◽  
Ingrid K. Ledel Solem ◽  
Espen A. Arnevik ◽  
Maria S. Korsnes ◽  
...  

Objectives: To examine the mediating effects of depression and anxiety in the relationship between self-efficacy and quality of life among people with mild cognitive impairment (MCI) or mild dementia. Method: A total of 196 patients diagnosed with MCI or dementia due to Alzheimer disease completed structured measures of self-efficacy, quality of life, and depressive and anxiety symptoms. We examined direct and mediated effects by fitting structural equation models to data. Results: Our analyses supported that the effects of self-efficacy on quality of life may be partially mediated by depression and anxiety. Both anxiety and depression had significant mediating effects, with depression showing a stronger effect. Conclusion: These results suggest that increased self-efficacy may have a positive effect on quality of life in people with MCI or dementia—partly by reducing depression and anxiety. These findings may have important practical implications for tailoring therapeutic interventions.


2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.


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