Impact of somatic comorbidities on quality of life of patients living with epilepsy in Sagamu, Nigeria

Comorbid mental disorders and quality of life of people with epilepsy attending primary health care clinics in rural Ethiopia

BACKGROUND

Evidence from high-income countries demonstrates that co-morbid mental disorders in people with epilepsy adversely affect clinical and social outcomes. However, evidence from low-income countries is lacking. The objective of this study was to measure the association between co-morbid mental disorders and quality of life and functioning in people with epilepsy.

METHODS

A facility-based, community ascertained cross-sectional survey was carried out in selected districts of the Gurage Zone, Southern Ethiopia. Participants were identified in the community and referred to primary health care (PHC) clinics. Those diagnosed by PHC workers were recruited. Co-morbid mental disorders were measured using a standardised, semi-structured clinical interview administered by mental health professionals. The main outcome, quality of life, was measured using the Quality of Life in Epilepsy questionnaire (QOLIE-10p). The secondary outcome, functional disability, was assessed using the 12-item World Health Organization Disability Assessment Schedule (WHODAS-2).

RESULTS

The prevalence of comorbid mental disorders was 13.9%. Comorbid mental disorders were associated with poorer quality of life (Adjusted (Adj.) β -13.27; 95% CI -23.28 to-3.26) and greater disability (multiplier of WHODAS-2 score 1.62; 95% CI 1.05, 2.50) after adjusting for hypothesised confounding factors. Low or very low relative wealth (Adj. β = -12.57, 95% CI -19.94 to-5.20), higher seizure frequency (Adj.β coef. = -1.92, 95% CI -2.83 to -1.02), and poor to intermediate social support (Adj. β coef. = -9.66, 95% CI -16.51 to -2.81) were associated independently with decreased quality of life. Higher seizure frequency (multiplier of WHODAS-2 score 1.11; 95% CI 1.04, 1.19) was associated independently with functional disability.

CONCLUSION

Co-morbid mental disorders were associated with poorer quality of life and impairment, independent of level of seizure control. Integrated and comprehensive psychosocial care is required for better health and social outcomes of people with epilepsy.

Associations of chronic illnesses and socio-demographic factors with health-related quality of life of older adults in Nigeria: A cross-sectional study

BACKGROUND

The increase in life expectancy has brought about a higher prevalence of chronic illnesses among older people.

OBJECTIVES

To identify common chronic illnesses among older adults, to examine the influence of such conditions on their Health-Related Quality of Life (HRQoL), and to determine factors predicting their HRQoL.

METHOD

A population-based cross-sectional study was conducted involving 377 individuals aged 60 years and above who were selected using multi-stage sampling techniques in Olorunda Local Government, Osun State, Nigeria. Data were collected using an interviewer-administered questionnaire comprising socio-demographic characteristics, chronic illnesses, and the World Health Organization quality of life instrument (WHOQOL-BREF) containing physical health, psychological, social relationships, and environmental domains.

RESULTS

About half (51.5%) of the respondents reported at least one chronic illness which has lasted for 1-5 years (43.3%). The prevalence of hypertension was 36.1%, diabetes 13.9% and arthritis 13.4%. Respondents with chronic illness had significantly lower HRQoL overall and in the physical health, social relationships and the environmental domains (all p<0.05) compared to those without a chronic illness. Factors that predicted HRQoL include age, marital status, level of education, the presence of chronic illness and prognosis of the condition.

CONCLUSION

This study concluded that chronic illness is prevalent in Nigerian older people and significantly influence their HRQoL. Age, marital status, and level of education were associated with HRQoL in this group.

FUNDING

Postdoctoral fellowship from Consortium for Advanced Research Training in Afric.

Correlates of depression and quality of life among patients with epilepsy in Nigeria

OBJECTIVES

To determine the prevalence of Major Depressive Disorders (MDD) and its relationship to Quality of life.

DESIGN

A cross-sectional observational study.

SETTING

Out-Patient Clinic of the Neuropsychiatric Hospital, Abeokuta, Nigeria.

SUBJECTS

Patients with diagnosis of Epilepsy with Electroencephalogram (EEG) confirmation.

OUTCOME MEASURES

Depression and Quality of life.

RESULTS

The prevalence of current MDD was 11.9 %, and patients having at least 1 seizure per week were 5 times more likely to develop MDD (OR = 5.104, p = 0.014). The mean (SD) QOLIE-31 scores was 77.98 (13.32), with presence of MDD (β = -11.101, p = 0.0001); having at least 1 seizure/week (β = -6.653, p = 0.037) being independent predictors.

CONCLUSION

Depression is a common comorbidity in patients with epilepsy and is associated with a lower quality of life.

Factors affecting quality of life in Hungarian adults with epilepsy: A comparison of four psychiatric instruments

PURPOSE

We investigated the impact of 19 factors on life quality in Hungarian patients with epilepsy. Wellbeing was evaluated by several inventories to investigate the impact of factors in more detail.

METHODS

A cross-sectional study was performed in 170 patients. Wellbeing was evaluated with the WHO-5 Well-being Index (WHOQOL-5), Diener Satisfaction with Life Scale (SwLS), and the Quality of Life in Epilepsy-31 Questionnaire (Qolie-31). We investigated their association with demographic characteristics, general health status, epilepsy, and its treatment. The impact of these factors on illness perception (Illness Perception Questionnaire, IPQ) was also studied.

RESULTS

The four measures correlated highly significantly. In addition, the predictive power of factors was comparable with the four inventories as evaluated by Multiple Regression. Factors explained 52%, 41%, 63% and 46% in the variance of WHOQOL-5, SwLS, Qolie-31, and IPQ scores, respectively. However, associations with particular factors were instrument-specific. The WHOQOL-5 was associated with factors indicative of general health. SwLS scores were associated with health-related and several demographic factors. Neither showed associations with epilepsy-related factors. All four categories of factors were associated with Qolie-31 and IPQ scores. Factors had an additive impact on IPQ, but not on Qolie-31.

SIGNIFICANCE

Our findings reveal interactions between the method of life quality assessment and the factors that are identified as influencing life quality. This appears to be the first study that analyses the factors that influence illness perception in epilepsy patients, and suggests that the IPQ may become a valuable tool in epilepsy research.

Quality of life in epilepsy-31 inventory (QOLIE-31) scores: A global comparison

Quality of life is a pragmatic endpoint for understanding the experience of people with epilepsy (PWE) in low- and middle-income countries (LMICs), where>80% of PWE reside. However, the literature is bereft of QOL in epilepsy (QOLIE) studies among LMICs and knowledge of the variation in QOLIE globally. We therefore performed a Medline search of original research studies using the quality of life in epilepsy-31 inventory (QOLIE-31) in a recent fifteen-year period (2000-2015). Each of the 194 countries listed by the World Health Organization (WHO) was individually included as search terms. Differences in QOLIE were tested across WHO world regions and World Bank country income group classifications. Sixteen percent of all countries (n=31) reported on 7255 individuals, including only 8 LMICs. The global mean QOLIE-31 score was 59.8 (standard deviation (SD): 8.0), with a range from 42.1 (SD: 4.1) in the Russian Federation to 82 (SD: 32.8) in Canada. There was a statistically significant difference seen in the QOLIE-31 score by world region and income category, with lower country income level associated with worse QOL (test for trend, p<0.0001). There exists substantial global variation in QOLIE, and country income level may play a role. Understanding what contributes to international differences in QOLIE can help reduce disparities in QOL among PWE worldwide.