Quality of life and stigma in Lebanese people with epilepsy taking medication

The relationship between stigma and quality of life in hospitalized middle-aged and elderly patients with chronic diseases: the mediating role of depression and the moderating role of psychological resilience

Objective

Patients with chronic diseases may have some psychological problems due to their own or surrounding environmental factors, which can adversely affect the patient's illness and life. Given that the number of chronically ill patients in China is currently increasing every year, more research is needed to determine the best ways to manage changes in psychological status and psychological stress responses in chronically ill patients. The researchers constructed a mediated moderation model to explore the impact of stigma on the quality of life of chronically ill patients, as well as the mediating role of depression and the moderating role of psychological resilience.

Methods

A stratified sampling method was used to select 363 middle-aged and old-aged patients with chronic diseases aged 45 years and older from the Affiliated Hospital of Zhejiang University for the study. Data were collected from patients with chronic diseases such as cardiac, respiratory, renal, and other chronic diseases using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), the Stigma Scale for Patients with Chronic Diseases (SSCI), the Patient Health Questionaire-9 (PHQ-9), the Quality of Life Inventory (SF-12), and the Conner-Davidson Resilience Scale (CD-RISC) were collected from patients with cardiac, respiratory, renal, and other chronic diseases. A descriptive analysis was used to describe the sample. Linear regression was used to evaluate the relationship between the variables. Mediation and moderation analyses were used to explore the mediating role of depression and the moderating role of psychological resilience.

Results

There was a moderate negative correlation between stigma and quality of life (r = -0.378, P < 0.01). There was a moderate negative correlation between depression and quality of life (r = -0.497, P < 0.01). There was a moderately positive correlation between psychological resilience and quality of life (r = 0.382, P < 0.01). There was a moderate negative correlation between psychological resilience and depression (r = -0.348, P < 0.01). There was a weak negative correlation between psychological resilience and stigma (r = -0.166, P < 0.01). There was a strong positive correlation between stigma and depression (r = 0.607, P < 0.01) The mediation study showed that stigma was a significant predictor of quality of life and that stigma and quality of life were mediated to some extent by depression, with the mediating effect accounting for 67.55% of the total effect. The direct path from stigma to depression is moderated by psychological resilience (β = -0.0018, P < 0.01).

Conclusions

Depression mediates the relationship between stigma and quality of life, while psychological elasticity plays a moderating role between stigma and depression, and when the level of psychological elasticity increases, the more significant the role of stigma on depression. As a physiologically and psychologically vulnerable group, patients with chronic diseases' overall quality of life and mental health should be taken more seriously, and clinical workers should pay timely attention to the psychological and mental conditions of patients with chronic diseases and provide timely and appropriate interventions and therapeutic measures. The relevant results of this study also provide a new perspective for clinical work on psychological intervention for patients with chronic diseases.

The effect of sleep disorders on quality of life in patients with epilepsy: A multicenter study from Turkey

OBJECTIVE

We aimed to investigate sleep disorders in patients with epilepsy (PWE) and to investigate the effects of sleep disorders on quality of life.

METHODS

In our multicenter study conducted in Turkey, 1358 PWE were evaluated. The demographic and clinical data of the patients were recorded. The Insomnia Severity Index (ISI), Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and Quality of Life in Epilepsy Inventory-10 (QOLIE-10) were administered.

RESULTS

The mean age of 1358 patients was 35.92 ± 14.11 (range, 18-89) years. Seven hundred fifty-one (55.30 %) were women. Some 12.7 % of the patients had insomnia (ISI > 14), 9.6 % had excessive daytime sleepiness (ESS > 10), 46.5 % had poor sleep quality (PSQI > 5), and 354 patients (26.1 %) had depressive symptoms (BDI > 16). The mean QOLIE-10 score was 22.82 ± 8.14 (10-48). Resistant epilepsy was evaluated as the parameter with the highest risk affecting quality of life Adjusted odds ratio (AOR = 3.714; 95 % confidence interval (CI): [2.440-5.652] < 0.001)). ISI (AOR = 1.184; 95 % CI: [1.128-1.243]; p < 0.001), ESS (AOR = 1.081; 95 % CI: [1.034-1.130]; p < 0.001), PSQI (AOR = 0.928; 95 % CI: [0.867 - 0.994]; p = 0.034), BDI (AOR = 1.106; 95 % CI: [1.084-1.129]; p < 0.001), epilepsy duration (AOR = 1.023; 95 % CI: [1.004-1.041]; p = 0.014), were determined as factors affecting quality of life.

SIGNIFICANCE

Sleep disorders are common in PWE and impair their quality of life. Quality of life can be improved by controlling the factors that may cause sleep disorders such as good seizure control, avoiding polypharmacy, and correcting the underlying mood disorders in patients with epilepsy.

The effects of concealment of epilepsy on medication adherence in people with epilepsy: A cross-sectional study

AIM

Adherence to antiseizure medication is of great importance in achieving seizure control and maintaining well-being for people with epilepsy. Therefore, it is important to assess medication adherence and factors affecting medication adherence in this patient group. This study aims to examine the effects of concealment of epilepsy on medication adherence in people with epilepsy.

METHOD

This cross-sectional study was conducted with 220 people with epilepsy. Data were collected using a patient information form, the Morisky Medication Adherence Scale-8 (MMAS-8), and the Concealment of Epilepsy Scale (CES) and analyzed using descriptive statistics and multiple linear regression analysis.

RESULTS

The mean age of the participants was 49.84 ± 9.43 years, and 53.6% of them were male. Their mean MMAS-8 score was 4.25 ± 1.99%, and 72.3% had low medication adherence. Additionally, their mean CES score was 49.84 ± 9.43. The CES scores of the participants negatively predicted their MMAS-8 scores (p < 0.05), and medication adherence was positively predicted by female gender, the duration of diagnosis, the single administration of drugs per day, and employment status, whereas it was negatively predicted by the annual number of seizures (F=19.256, p < 0.001).

CONCLUSION

In this study, people with epilepsy were found to have low medication adherence and a high tendency to conceal epilepsy. Furthermore, the tendency to conceal epilepsy had a negative effect on medication adherence.

IMPLICATIONS

Psychosocial interventions aimed at reducing the tendency to conceal epilepsy can contribute to medication adherence in people with the condition.

Felt stigma proportion in people living with epilepsy: A systematic review

PURPOSE

Numerous inventories to identify felt stigma (FS) in people living with epilepsy (PLWE) have been developed. Past studies have mainly focused on the relationship between FS scores and clinical factors, making it challenging to delineate FS proportions and compare FS between groups. We aimed to integrate FS proportions in PLWE and compare them by continent.

METHODS

We searched MEDLINE, EMBASE, the Cochrane Library, Web of Science, and Scopus. Among the identified studies, we chose the ones providing an FS proportion measured by Jacoby's Stigma Scale (JSS) and its revised version (JSS-R) in PLWE. We applied the random-effects model.

RESULTS

A total of 63 datasets from 47 studies were included. There were 29,924 PLWE, with 14,323 of them experiencing FS. The overall FS proportion was 48.4%. Of these datasets, 51 used JSS, and 12 used JSS-R. The FS proportions were 44.9% for the former and 62.1% for the latter, with significant heterogeneity. In the intercontinental comparison with 51 datasets employing JSS, the difference in FS proportions was insignificant: 51.2% in Africa, 47.2% in Europe, 35.4% in Asia, and 28.8% in the Middle East. Furthermore, the meta-regression revealed that the year of each primary study did not influence the FS proportion.

CONCLUSION

Among PLWE, FS proportions depended on the choice of a measurement tool. When measured using JSS, the FS proportion was 44.9%, while it was 62.1% when evaluated with JSS-R. Even though the FS proportions were integrated differently, no substantial differences were observed between continents.

Quality of life and its relation with sleep habits of children with epilepsy from Eastern India

BACKGROUND

Epilepsy is one of the most common chronic disorders of the central nervous system. The quality of life of children with epilepsy is influenced by various factors including their sleep. To assess the quality of life and sleep habits among children with epilepsy and to determine the association of QOL and sleep habits, with sociodemographic and clinical variables.

MATERIALS AND METHODS

A cross-sectional study was carried out among 50 epileptic children aged 4-18 years, recruited using a convenient sampling technique from the IPDs and OPDs of the Paediatrics department of a tertiary care hospital in Eastern India. The data were collected using QOLCE-16 and CSHQ from parents of children with epilepsy. The collected data were analyzed using descriptive and inferential statistics such as ANOVA and Pearson correlation test.

RESULTS

The overall mean score of QOL was 50.78 ± 17.98, with the cognitive domain having the highest mean score of 65.50 ± 27.79 and the social domain having the lowest mean score of 29.87 ± 22.81. The overall mean sleep score was found to be 56.98 ± 8.13. Daytime sleepiness, parasomnias, and bedtime resistance were found to be frequent sleep problems in children with epilepsy. There was a significant negative correlation between QOL and sleep disturbances in children with epilepsy (r = -0.65, P ≤ 0.001).

CONCLUSION

The QOL of children with epilepsy should be improved to reduce the effect of sleep problems. Epilepsy children should be treated appropriately with due focus on medication compliance as it was found to be one of the determinants in improving their QOL.

Quality of Life in Adult Patients With Epilepsy in Lebanon: A Cross-Sectional Study

BACKGROUND

Epilepsy is a chronic and heterogeneous neurological disorder that impairs the quality of life (QOL) of sufferers and affects their mental health in many aspects. Few studies have been conducted in the Middle East, especially in Lebanon, on the QOL of patients with epilepsy. The aim of our study is to assess the burden of epilepsy on the life of adult patients in Lebanon and measure the impact of sociodemographic and clinical factors on the QOL.

MATERIALS AND METHODS

A total of 47 patients from several neurology clinics were included in our study and asked to fill out a questionnaire including the sociodemographic variables and epilepsy-related factors. We used the Quality of Life in Epilepsy Scale-31 (QOLIE-31), which is a 31-question form covering seven attributes of the QOL; overall QOL, emotional wellbeing, social functioning, cognition, energy, seizure worry and medication effects, to assess the QOL of adult patients with epilepsy. Analysis was conducted using SPSS program version 23.

RESULTS

The mean age of our sample was 37.54 years, 53.2% of which were males. The majority were unemployed, educated, and belonging to the medium socioeconomic level. The highest subscale score was for the social functioning subscale with a mean of 74.49±25.89 and the lowest subscale score was for seizure worry with a mean of 55.81±27.14. Employment status, nationality, and socioeconomic level were shown to be associated with the QOL scores. There were no correlations between the clinical factors and the QOL scores.

CONCLUSION

 Sociodemographic factors, namely Lebanese nationality, employment status, and socioeconomic level, were associated with better QOL, reflected by the significant associations between the following parameters and the QOL scores (p-value<0.05), highlighting the positive influence of social support on the outcome of the disease. However, epilepsy-related clinical features did not show any correlation with the QOL and its subscales.

Depression severity mediates the impact of perceived stigma on quality of life in patients with epilepsy

OBJECTIVE

To determine whether and the extent to which depression severity mediates the impact of perceived stigma on quality of life in patients with epilepsy (PWE).

METHODS

A consecutive cohort of 165 PWE was invited to participate in this study. Each participant completed the Kilifi Stigma Scale of Epilepsy (KSSE), Depression Inventory for Epilepsy (NDDI-E), and Quality of Life in Epilepsy Inventory (QOLIE-31). Mediation analysis was employed to assess whether depression severity mediates the relationship between perceived stigma and quality of life.

RESULTS

Perceived stigma was positively associated with depression severity and negatively associated with quality of life in PWE. The mediation analysis confirmed that perceived stigma had an indirect effect on the quality of life through the mediating variable of depression severity in PWE (B = -0.576, SE = 0.097, Bootstrap95% CI = -0.784 to -0.405). The indirect effects of perceived stigma on quality of life through depression severity accounted for 57.7% of the total effects of perceived stigma on quality of life.

CONCLUSION

This study provided evidence that depression severity mediates the impact that perceived stigma has on quality of life, indicating that assessment of and interventions targeting depression may be appropriate for PWE.

Felt stigma in seizure-free persons with epilepsy: Associated factors and its impact on health-related quality of life

PURPOSE

We investigated felt stigma in seizure-free persons with epilepsy with regard to associated factors and its impact on health-related quality of life (HRQoL).

METHODS

This cross-sectional study included 81 patients who had been seizure free for at least 2 years and 52 controls who had only had one seizure in the last 2 years. All patients completed the Stigma Scale, Quality of Life in Epilepsy Inventory-31 (QOLIE-31), short form of the Eysenck Personality Questionnaire-Revised (EPQ-RS), Hospital Anxiety Depression Scale (HADS), Rosenberg Self-esteem Scale, and the enacted stigma questionnaire.

RESULTS

The proportion of felt stigma was not significantly different between controls (25%) and patients in seizure remission (21%). A stepwise logistic regression analysis revealed that enacted stigma and higher EPQ-RS Neuroticism scores were more likely to be associated with felt stigma of patients in remission. Quality of Life in Epilepsy Inventory-31 scores were significantly higher in patients in seizure remission than in controls. In the stepwise linear regression analysis, felt stigma was not associated with the total QOILE-31 scores. Sobel tests showed that felt stigma had indirect effects on the QOLIE-31 scores through EPQ-RS Neuroticism scores, but its statistical significance was lost after controlling for the presence of enacted stigma, anxiety, and depressive symptoms.

CONCLUSION

One-fifth of seizure-free patients continued to feel stigmatized, even though they had not had a seizure in more than 2 years. Experience of enacted stigma and a neurotic personality trait were the most important correlates of felt stigma for these patients. Health-related quality of life was significantly better in patients in remission than in patients with rare seizures. Felt stigma was not a significant or independent factor associated with worse HRQoL in patients in remission.

Quality of Life and Stigma among Women with Epilepsy during Their Reproductive Years

Background and Purpose

The purpose of this study was to understand the relationship between quality of life and stigma among reproductive age group women with epilepsy.

Methods

A cross-sectional descriptive study was conducted to assess the data from the 49 women with epilepsy from a tertiary care hospital in India. Quality of life was evaluated with the quality of life in epilepsy-31 questionnaire and stigma was evaluated with the stigma scale of epilepsy. Data also included socio-demographic and clinical characteristics.

Results

The mean age of the participants was 24.67±3.72 years. Quality of life total score (r=−0.485**) and seizure worry domain (r=−0.427**) were significantly negatively correlated with stigma total score at p<0.01 level. Being uneducated, married, unemployed, having children, having generalized tonic-clonic seizures, duration of illness (>10 years), and consuming levetiracetam, anti-epileptic drug (AED), were the significant contributing factors for low quality of life among women with epilepsy during the reproductive age group. Belonging to lower socio-economic status and taking more than two AEDs were also associated with lower quality of life among women with epilepsy, which are trending towards significance.

Conclusions

The study assessed the relationship between the quality of life and the Stigma scale of epilepsy and demonstrated the impact of stigma and quality of life on socio-demographic and clinical variables of women with epilepsy under the reproductive age group. To enhance the quality of life and reduce the stigma levels among women with epilepsy, some of the modifiable parameters can be considered by the multidisciplinary health care professionals from the findings of the current research.