Only a few studies, however, have examined relationship between fatigue and work-related outcomes. The aim of this study was to investigate which disease-related factors (treatment, diagnosis, cognitive dysfunction, depression, pain, and sleep disturbance) and work-related factors (work-load, work pressure, relationship to supervisor and colleagues, size
of the company, and workplace accommodations) were related to fatigue in employed cancer survivors.
Methods: Data was collected by questionnaire at 6 months (baseline) and 18 months (end of the follow-up) after cancer diagnosis from 135 people with different types of cancer who had returned to work at follow-up. Fatigue was measured with a four-item sub-scale of MFI. Scores ranged dbcAMP from 4 to 20, with higher scores indicating more fatigue.
Results: The mean rate of general fatigue was 11.9 at baseline decreasing to 10.4 at the end of the follow-up (p<0.0001). At 6 months, higher work pressure (p = 0.02), physical workload (p<0.05) and less workplace accommodations (p = 0.03) were related to higher levels of fatigue. From disease-related factors, depression was associated with fatigue (p<0.0001) at baseline. Lack of workplace accommodations
was the only factor affecting higher levels of fatigue at 18 months (p<0.001) and was also related to higher levels of depression at 6 months (p https://www.selleckchem.com/products/pifithrin-alpha.html = 0.02) and at 18 months (p<0.001).
Conclusions: Lack of workplace accommodations was significantly related to fatigue at the end of the follow-up, which suggests that accommodations for illness can help to reduce fatigue and depression. Copyright (C) 2010 John Wiley & Sons, Ltd.”
“Purpose: The metabolism of cancerous cells is in many ways different than in healthy cells. In ovarian cancer, cells exhibit activity of alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), which
participate in metabolism of many biological substances. The aim of this study was to compare the metabolism of ovarian cancer cells, ovarian cysts and normal ovarian cells by measurement of ADH isoenzymes and ALDH activities.
Material and Methods: The study material consisted of 36 cancerous ovarian tissues. Class III, IV of ADH and total ADH activity Cytoskeletal Signaling inhibitor was measured by the photometric method and class I, II ADH and ALDH activity by the fluorometric method with class-specific fluorogenic substrates.
Results: The activity of the class I ADH isoenzyme and the total ADH was significantly higher in ovarian cancer as compared to ovarian cysts and healthy tissues but there are no significant differences between ovarian cysts and healthy cells. The other classes of ADH tested, did not show significant differences between activity of cancerous cells and healthy ovary.