Vesile Şenol

Influence of fatigue, depression, and demographic, socioeconomic, and clinical variables on quality of life of patients with epilepsy.

The purpose of this study was to define the influence of fatigue, depression, and clinical, demographic, and socioeconomic factors on the quality of life of patients with epilepsy. The study was performed on 103 adult patients who visited Erciyes University Epilepsy Outpatient Clinic between 2004 and 2005. Patients were evaluated with the Form of Negotiation, Quality of Life in Epilepsy Inventory (QOLIE-89), Beck Depression Inventory, and Fatigue Severity Scale. Mean age of the patients was 34.3+/-12.6, and mean duration of disease was 12.6+/-9.3 years. Among these patients, 52.4% were men, 49.5% were married, 15.5% had a university education, 53.4% had low incomes, 45.6% had generalized seizures, and 35.0% had experienced one or more seizures per month during the preceding year. The most significant variables in the domain of Overall quality of life were seizure frequency (P<0.001), depression (P<0.001), and fatigue (P<0.001); the variables in the domain of Mental Health were seizure frequency (P<0.001) and fatigue (P<0.001); the variable in the Cognitive domain was fatigue (P<0.001); the variables in the domain of Physical Health were social insurance coverage (P<0.01), fatigue (P<0.01), and age (P<0.01); the variables in the Epilepsy Targeted domain were depression (P<0.001), seizure frequency (P<0.001), and fatigue (P<0.01). Although quality of life has multiple determinants, seizure frequency, fatigue, and depression are the most important factors affecting quality of life in patients with epilepsy. One or more seizures per month, severe fatigue, and depression are associated with lower quality of life in some but not all domains. Partial correlations demonstrated that fatigue was a significant independent predictor of quality of life. The present study confirms that fatigue can be a powerful predictor of quality of life.

The relationship between fatigue and depression, and event-related potentials in epileptics.

The aim of the present study was to establish the rate of fatigue and the relationship between fatigue, depression, and P300 in people with epilepsy. We compared Fatigue Severity Scale (FSS) and Beck Depression Inventory (BDI) scores and event-related potentials (ERPs) of people with epilepsy (n=73) with those of controls (n=31). The rate of fatigue was found to be 42.4%, and fatigue and depression were positively correlated. There was an interaction between fatigue and ERPs, but the effect of ERPs on fatigue was greater. While polytherapy was a major factor affecting ERPs, depression had no effect on ERPs in people with epilepsy. The data suggest that fatigue is an important finding and is strongly correlated with cognitive processes and depression. Polytherapy contributed to cognitive disturbances and, hence, fatigue, whereas depression had no effect on cognitive processes in people with epilepsy.

Functional outcome and depression in the elderly with or without fatigue

We evaluated the influence of fatigue on functional outcomes and depression in older people. Fatigue was measured using the fatigue severity scale (FSS). Activity of daily living function was assessed using the functional independence measurement (FIM), the geriatric depression inventory (GDI) was used to assess depression. The average FSS score was 5.66 ± 1.03 for subjects in the fatigue group, with 50 patients (40.3%) having FSS scores ≥ 4 points. Significant relationships were found between fatigue and GDI (p<0.001, r = 0.363) and FIM (p<0.04, r = -0.183). Binary logistic regression analysis identified GDI as a significant predictor of fatigue (p < 0.001). We found that 40.3% of older people had fatigue. Fatigue showed a significant correlation with depression and functional status. These findings emphasize the need for careful clinical screening of both fatigue and depression in older individuals.

The Relationship between Health Promoting Behaviors and Quality of Life in Nursing Home Residents in Kayseri

Background and Aims. Healthy lifestyle behaviors are the major determinant of both prevention health and health related quality of life. The aim of this study was to examine the relationship between health-promoting behaviors and quality of life of elderly individuals living in nursing homes. Methods. The study was performed between October 2008 and 2009, in the city of Kayseri in Turkey, upon 136 individuals, aged 65 and above, living in the Gazioglu Nursing Home. A sociodemographic questionnaire, Standardized Mini Mental Test, Health Promoting Lifestyle Behaviors Profile (HPLP), and WHOQOL-OLD module were used for the gathering of data. Results. The overall HPLP and quality of life (QoL) scores were and , respectively. More than half of the participants have higher points than the mean QoL scores. The HPLP scores of these subjects were significantly higher compared to those with lower points than mean QoL scores. There was a positive relationship between the overall HPLP and WHOQOL-OLD mean scores, except for the autonomy and sensorial function domains. Conclusions. The study result showed that health-promoting behaviors are positively associated with better quality of life scores in the elderly subjects living in a nursing home.