Strongest Predictor Of Quality Of Life Research Articles

The Association of Quality of Life with Psychosocial Factors in Adolescents with Tourette Syndrome.

Individuals with Tourette syndrome (TS) have poorer quality of life (QoL) than their peers, yet factors contributing to poor QoL in this population remain unclear. Research to date has predominantly focused on the impact of tics and psychiatric symptoms on QoL in TS samples. The aim of this cross-sectional, multi-informant study was to identify psychosocial variables that may impact adolescent QoL in TS. Thirty-eight adolescents aged 13 to 17 with TS and 28 age-matched controls participated with a caregiver. No group differences were found on QoL, although the TS group reported reduced QoL compared to population normative data. In the TS group, reduced QoL was associated with lower self-esteem, poorer family functioning, higher stress, and greater depression and anxiety; QoL was unrelated to tic severity. In regression analyses, after adjusting for covariates, family functioning was the strongest predictor of QoL. These results emphasize the need to further explore the influence of psychosocial factors, particularly family functioning, on QoL in adolescents with TS.

Predictors of Quality of Life for Head and Neck Cancer Patients at an Academic Institution.

Quality of life (QOL) is an important consideration in head and neck cancer (HNC) due to lasting disease and treatment-related toxicities. We performed a comprehensive review of predictors of QOL in this population, including distance to care. Retrospective cohort study from 2017 to 2022. Academic medical center. QOL was quantified in patients treated for HNC utilizing the University of Washington Quality of Life and 20-Item Short Form surveys completed at subsequent clinic visits. Distance to treatment center and other demographic, socioeconomic, disease-specific, and behavioral data were analyzed. There were 176 patients in the cohort (69% male; mean age, 64 ± 10.8 years). There was no association between miles traveled and any of the QOL subscales. Marital status was the strongest predictor of QOL, significantly associated with 7/8 QOL domains and favoring those who were married. Other significant predictors of decreased QOL included emotional/physical abuse, current tobacco use, documented religious affiliation, and treatment involving surgery plus adjuvant therapy. A significant positive trend over time existed for multiple QOL subscales. QOL is unchanged in patients who travel greater distances for care. QOL is more closely linked to factors such as marital status, physical/emotional abuse, tobacco use, religious affiliation, treatment intensity, and time following surgery. This highlights the importance of a strong support structure and the influence of certain socioeconomic and lifestyle factors on patients, with opportunities for screening and intervention throughout their cancer care.

Relationship of Mindfulness with Depression, Self-Management, and Quality of Life in Type 2 Diabetes Mellitus: mindfulness is a Predictor of Quality of Life.

Mindfulness interventions have shown promising results in both psychological and clinical outcomes of type 2 diabetes mellitus. Depression, self-management, and quality of life (QOL) have shown improvement with mindfulness interventions; however, little is known about dispositional mindfulness and its relationship with depression, self-management, and QOL in type 2 diabetes mellitus. The aim of this study is to assess the relationship of dispositional mindfulness with depression, self-management, and QOL in patients of type 2 diabetes. Noncommunicable disease outpatient department of a tertiary care medical center of East India. Cross-sectional study. Ninety-nine patients with type 2 diabetes completed the Five Facets Mindfulness Questionnaire, Diabetes Self-Management Questionnaire, and World Health Organization QOL BREF questionnaire and Hamilton Rating Scale for depression. Pearson's correlation and hierarchical regression analysis using the SPSS software version 20.0. Describing, acting with awareness, and nonjudging facets of mindfulness showed a negative correlation with depression (P < 0.05). Acting with awareness and nonreactivity to inner experience were positively correlated with the physical activity domains of self-management (P < 0.05). All facets of mindfulness showed a positive correlation with four domains of QOL. In hierarchical regression analysis, after controlling for sociodemographic and clinical variables, mindfulness predicted the psychological domain of QOL, explaining 31% of the variance (P ≤ 0.001). However, mindfulness did not predict depression or self-management. Dispositional mindfulness is a strong predictor of QOL in type 2 diabetes mellitus and hence can be targeted with interventions to improve psychological outcomes.

Factors that influence quality of life in patients with multiple sclerosis in Saudi Arabia

Purpose To study the factors which may contribute to quality of life (QOL) in patients with multiple sclerosis (pwMS) in Saudi Arabia. Methods 175 pwMS and 71 age-, gender-, and BMI-matched healthy subjects participated in this cross-sectional study. QOL was studied by the multiple sclerosis quality of life-54 (MSQOL-54) while depression, disability, and fatigue were measured by the beck depression inventory-II (BDI-II), the expanded disability status scale (EDSS), and the modified fatigue impact scale (MFIS), respectively. The effects of demographic and clinical characteristics on MSQOL-54 were studied. Results QOL was worse in pwMS. A better QOL in pwMS was linked to being male, having relapsing-remitting MS, having lower BMI, being employed, having a low disability, having no or minimal depression, and not fatigued. Age, disease duration, marital status, living status, and level of education did not affect the QOL. QOL showed a moderate to strong correlation with depression and fatigue and a weak correlation with EDSS. Depression and fatigue were the strongest predictors of QOL. Other predictors included gender and BMI but not EDSS. Conclusions Many of the factors which seem to influence QOL in pwMS are modifiable. Evaluation and management of such factors may improve QOL in pwMS. Implications for rehabilitation Assessment of QOL (using a proper tool) should be part of every pwMS evaluation. Depression and fatigue are the main predictors of QOL in pwMs, therefore, attention should be paid for their evaluation and management. Sexual dysfunction and pain should be assessed and managed early in the course of the disease

Is caregiver quality of life predicted by their perceived burden? A cross-sectional study of family caregivers of people with spinal cord injuries.

Cross-sectional study. To identify predictors of quality of life (QoL) among family caregivers of people with spinal cord injuries (SCI), considering caregiver and care recipient characteristics, and to evaluate the predictive value of caregiver burden (CB) on the QoL of family caregivers. Multicenter study in four spinal units across Italy. Secondary analysis of the data obtained during the validation of the Italian version of the Caregiver Burden Inventory in Spinal Cord Injuries (CBI-SCI) questionnaire. In all, 176 family caregivers completed a socio-demographic questionnaire, the Short Form-36, the CBI-SCI, and the Modified Barthel Index. A first linear regression analysis was performed to identify independent predictors of each domain of caregiver QoL. A second linear regression analysis including CBI-SCI was then performed to evaluate the predictive value of CB on caregiver QoL. Participants reported reduced physical and mental QoL. Significant predictors of lower scores in physical dimensions of QoL were older age and female gender. Contextual factors following SCI, such as economic difficulties and the presence of a formal caregiver, significantly predicted emotional QoL in family caregivers. Identified predictors explained 13-32% of variance. CB was a significant predictor (p < 0.001) when added to all proposed models, increasing the explained variance from 7 to 26%. Neither the clinical characteristics of, nor the relationship with care recipients predicted a worse caregiver QoL, whereas the CB did. The CB was a strong predictor of QoL among family caregivers and should be kept to a minimum to promote caregiver well-being.

Importance of Illness Acceptance Among Other Factors Affecting Quality of Life in Acromegaly.

Introduction: The aim of this study was to analyze psychological factors of patients with acromegaly and assessment of their relationship with the quality of life (QoL) in the context of the control of the disease.Materials and methods: A total sample of 50 patients (62% of females; mean age = 51.66 ± 14.5) with acromegaly underwent a comparative, cross-sectional cohort assessment including the QoL (AcroQoL, WHOQoL-BREF), psychiatric morbidity (GHQ-28), the acceptance of illness (AIS) as well as influence of treatment, comorbidities and symptoms in the relation of disease activity. Acromegaly group was divided in two subgroups: patients with uncontrolled acromegaly (UA, n = 28) and patients with controlled acromegaly (CA, n = 22).Results: The acromegaly groups did not differ in health-related QoL measured with AcroQoL and WHOQoL questionnaires. However, obtained results showed QoL impairments in all subscales and the study participants had decreased scores compared to reference values. The interaction of the relationship between the AIS and disease activity as well as the prevalence of all psychopathological symptoms and disease activity were tested and the statistically significantly differences in the context of QoL in AcroQoL questionnaires and its domains were observed in relation to the course of the disease. No difference in acromegaly symptoms as well as in number of comorbidities were found between CA and UA but these two parameters affected the results QoL scores in AcroQol questionnaires and their domains, regardless the disease activity. Similarly, the prevalence of psychopathological symptoms (GHQ-28) contributed the level of acceptance of the disease, regardless the disease activity. The strongest predictors of QoL were related to the level of illness acceptance (p = 0.01) as well as serum growth hormone concentration.Conclusion: Minding people with UA, the control of biochemical factors seemed to be more important for the QoL perception, while among CA, psychological variables such as AIS are observed to play a fundamental role in QoL. Moreover, inclusion of patient's acceptance of the illness into clinical routine would promote holistic, patient-centered care and empower doctor-patient partnership where patients' expectations and perceptions are constantly tracked. Obtaining biochemical control should not be considered as the only measure of treatment success.

Malnutrition, frailty and quality of life in older adults – a cross cultural study

AbstractIntroductionLife expectancy has considerably improved over the past century. Despite the population living longer, this greater number of life years has been associated with increases in chronic morbidity and mortality, including age-related debilitating conditions, such as frailty and malnutrition with profound implications both socially and economically on society. Given the increasing rates of population ageing, it is critical to ensure that functional ability, wellbeing and quality of life (QoL) are maintained and the factors involved in these processes are understood. This project aimed to compare the prevalence of frailty and malnutrition in community-dwelling older adults living in the UK and Spain; and identify potential determinants of malnutrition, frailty and QoL.Materials and methodsA cross sectional study among 64 male and female community-dwelling older adults 65–92 years from the UK (n = 33) and Spain (n = 31) was conducted. Nutritional status, frailty and QoL were assessed by previously validated self-reported questionnaires: the Mini Nutritional Assessment Short Form (MNA-SF), the FiND (Frail Non-Disabled questionnaire) and the SHARE (Study of Health Ageing and Retirement in Europe) version of the CASP-12. Multiple and/or logistic regression models were applied to assess factors that predict malnutrition, QoL and risk of frailty.ResultsIn total, mean age of participants was 77 ± 8 years and mean Body Mass Index (BMI) was 26.06 ± 4.78 kg/m2. Mean MNA-SF score was 12.70 ± 1.92, and mean QoL was 40.36 ± 5.35. The overall prevalence of malnutrition and frailty was 18.8% and 23.4% respectively. Participants in the UK were more likely to be malnourished than those in Spain (24.2% vs 12.9%), although not significantly (p = 0.245), and the prevalence of frailty was higher in the UK (36.4% vs 9.7%) (p = 0.012). BMI, being frail and income were significant predictors of malnutrition (p &lt; 0.05). Higher QoL was a significant protective factor for frailty risk (Odds Ratio 0.728; 95%CI 0.59–0.90; p = 0.004). Age, income and being frail were significant predictors of QoL (p &lt; 0.05).DiscussionTo our knowledge this is the first cross-cultural study that explored associations between malnutrition, frailty and QoL, using validated questionnaires in both languages. Despite the small sample size, it was revealed that malnutrition and frailty are conditions that can be identified in community dwelling older adults. Although participants self-reported a good QoL, frailty was found to be a strong predictor of QoL. Implementing culturally suited strategies to detect malnutrition and frailty status and prevent further decline would be useful to improve the QoL of older adults in these countries.

Developing and testing a model of quality of life among chronically-ill, community-dwelling older adults: A structural equation model

PurposeAlthough healthy ageing aims for better quality of life, the inability of older adults to adequately care for themselves and their health impair the realization of such objective. Moreover, in a collectivist community like the Philippines, the family, community, and Transcendent are inseparable in promoting quality of life. This study developed and tested a model of quality of life (QoL) among chronically-ill, community-dwelling older adults. Materials and MethodsFrom August to November 2017, a cross-sectional study of 304 chronically-ill, community-dwelling older adults from selected rural communities in the Philippines was conducted. Respondents completed a five-part survey packet composed of the socio-demographic profile, modified Older People’s Quality of Life, Spirituality Assessment Scale, Hypertension Self-Care Profile, and Diabetes Self-Management Questionnaire. ResultsSocio-demographics, community satisfaction, spirituality, and disease self-management accounted 29.00% of QoL, generating a good model (χ2/df = 1.44, RMSEA = 0.038, and PNFI = 0.64). Spirituality (β = 0.34, p < 0.01) was the strongest predictor of QoL, while community satisfaction had both direct (β = 0.26, p < 0.01) and indirect (β = 0.08, p < 0.01) effects. Disease self-management directly (β = 0.15, p = 0.016) influenced QoL. In contrast, longer chronicity and larger family size impair QoL. ConclusionQuality of life among chronically-ill, community-dwelling older adults is a multi-faceted health construct influenced by socio-demographics, disease self-management, community satisfaction, and spirituality. The presented model highlights the positive effect of disease self-management, community satisfaction, and spirituality which can be utilized in developing appropriate community-based geriatric strategies, policies, and programs. Further, forming collaborative groups with socially-active community elderly and community-based self-care programs can be ventured to address the needs of older adults.

Posttraumatic Stress, Somatization, and Quality of Life Among Ivorian Refugees

The present study examined the relationship between peritraumatic reactions, posttraumatic stress disorder (PTSD) symptoms, somatization, and quality of life (QoL) in a sample of refugees, two years after the 2011 Ivory Coast sociopolitical crisis. Participants were 101 Ivorian adult refugees (mean age = 31.61 years, SD = 7.84; 45.5% women) who completed several questionnaires relating to peritraumatic reactions, PTSD symptoms, somatization, and QoL. Most participants (86.1%) scored above the cutoff for probable PTSD. Peritraumatic dissociation and peritraumatic distress were significantly associated with PTSD symptoms, (r = .64, p < .001) and (r = .60, p < .001), respectively, and somatization, (r = .21, p = .038) and (r = .35, p < .001), respectively, as well as with QoL, (r = -.20, p = .045) and (r = -.21, p = .037), respectively. Similarly, QoL was significantly negatively correlated with PTSD symptoms (r = -.33, p < .001) and somatization (r = -.39, p < .001). In multivariate analyses, somatization was the strongest predictor of QoL (β = -.31, p = .003). Finally, somatization statistically mediated the association between peritraumatic distress and QoL. These findings suggest that PTSD may be frequent among Ivorian refugees, and that somatization may be an important feature of the traumatic experiences. Targeting somatization in conjunction with trauma-centered therapy may improve outcomes in sub-Saharan Africans with PTSD.

Home Environment and Its Relation with Quality of Life of Older People

ABSTRACTIn this cross-sectional study, we tested the relationship between sociophysical environment, quality of life (QOL), and perceived social support among elderly in Iran. The sample includes 128 participants recruited in the city of Shahrekord, Iran. We measured Evaluation of Older People Living Environment (EVOLVE); Control, Autonomy, Self-realization and Pleasure scale (CASP-19) and Multidimensional Scale of Perceived Social Support (MSPSS) tools respectively, through home-based observation and interview. A significant relationship was found between several domains of home environment, QOL, and perceived social support. The interaction effect of the home environment and gender in relation to QOL and perceived social support was statistically significant. Our results support that the home physical environment may not be considered a strong predictor of QOL among the Iranian elderly.

Personal goals and factors related to QoL in Dutch homeless people: what is the role of goal-related self-efficacy?

Very little is known about the personal goals of homeless people and how these relate to their quality of life (QoL). By using survey data on 407 homeless adults upon entry to the social relief system in 2011, we examined the personal goals of homeless adults and the association between their perceived goal-related self-efficacy and their QoL. A hierarchical regression analysis was used to analyse the association between QoL and goal-related self-efficacy, relative to factors contributing to QoL, such as demographic characteristics, socioeconomic resources, health and service use. Results indicate that the majority of homeless adults had at least one personal goal for the coming 6months and that most goals concerned housing and daily life (94.3%) and finances (83.6%). The QoL of homeless adults appeared to be lower in comparison with general population samples. General goal-related self-efficacy was positively related to QoL (β=0.09, P=0.042), independent of socioeconomic resources (i.e. income and housing), health and service use. The strongest predictors of QoL were psychological distress (β=-0.45, P<0.001), income (β=0.14, P=0.002) and being institutionalised (β=0.12, P=0.004). In conclusion, the majority of homeless adults entering the social relief system have personal goals regarding socioeconomic resources and their goal-related self-efficacy is positively related to QoL. It is therefore important to take the personal goals of homeless people as the starting point of integrated service programmes and to promote their goal-related self-efficacy by strength-based interventions.

Symptom Clusters and Quality of Life in Hospice Patients with Cancer

Background:Symptom control is an important part of palliative care and important to achieve optimal quality of life (QOL). Studies have shown that patients with advanced cancer suffer from diverse and often severe physical and psychological symptoms. The aim is to explore the influence of symptom clusters on QOL among patients with advanced cancer.Materials and Methods:709 patients with advanced cancer were recruited to participate in a clinical trial focusing on symptom management and QOL. Patients were adults newly admitted to hospice home care in one of two hospices in southwest Florida, who could pass mental status screening. The instruments used for data collection were the Demographic Data Form, Memorial Symptom Assessment Scale (MSAS), and the Hospice Quality of Life Index-14.Results:Exploratory factor analysis and multiple regression were used to identify symptom clusters and their influence on QOL. The results revealed that the participants experienced multiple concurrent symptoms. There were four symptom clusters found among these cancer patients. Individual symptom distress scores that were the strongest predictors of QOL were: feeling pain; dry mouth; feeling drowsy; nausea; difficulty swallowing; worrying and feeling nervous.Conclusions:Patients with advanced cancer reported various concurrent symptoms, and these form symptom clusters of four main categories. The four symptoms clusters have a negative influence on patients’ QOL and required specific care from different members of the hospice healthcare team. The results of this study should be used to guide health care providers’ symptom management. Proper attention to symptom clusters should be the basis for accurate planning of effective interventions to manage the symptom clusters experienced by advanced cancer patients. The health care provider needs to plan ahead for these symptoms and manage any concurrent symptoms for successful promotion of their patient’s QOL.

Does Body Image Affect Quality of Life?: A Population Based Study.

Body image (BI) can be described as the assessment of both positive and negative emotion for one’s own body parts and their characteristics by himself or herself. Current research has concentrated mostly on the status of negative BI as a risk factor for mental health problems rather than as a public health problem, thereby little is known about the effects of BI on quality of life. Thus, the purpose of this study was to assess the BI and Quality of Life (QoL) of individuals and to investigate the relationship between the two. Individuals over 15 living in Isparta city center constitute the universe of this cross-sectional analytical study, carried out in 2014. The BI of individuals was measured by the Body Image Scale and The QoL of individuals was measured using the World Health Organization (WHO) Quality of Life Scale Short Form. The mean age of the participants was 31.9 ± 13.0 and 56.0% were female, 36.8% were married and 81.7% had education above high school. 25.7% had at least one chronic disease and 17.7% received medication regularly. Having good-very good health perception, having higher income than expenses, making regular exercises were predictors in enhancing the quality of life in certain aspects, however having a good body image came out as a predictor enhancing the quality of life in all sub-domains. BI was found closely related with QoL in all sub-domains. Our findings suggest that greater attention should be to be given to BI as a strong predictor of QoL.

Participation in Activities Associated With Quality of Life for Long-Term Survivors of Rectal Cancer.

Cancer patients' participation in social, recreational, and civic activities is strongly associated with quality of life (QOL), but these activities are not well integrated into cancer survivorship research or interventions. Test the hypothesis that for long-term (≥ 5 years) survivors of rectal cancer, clinical factors (type of surgery and bowel function) are associated with long-term participation in activities and that participation in activities is associated with long-term QOL. Observational study with longitudinal and cross-sectional components. Participation in activities and QOL. Tumor registry records were used to identify patients and obtain clinical data; surveys assessed participation and QOL. Using general linear models, we analyzed participation in activities in relation to type of surgery and bowel function after adjustment for potential confounders. We analyzed overall QOL relative to participation in activities after adjustment. A total of 567 rectal cancer survivors completed a mailed questionnaire. Overall response rate was 61%. The type of operation (p < 0.0001), receipt of radiation therapy (p = 0.002), and bowel function (p < 0.0001) were associated with participation in activities. Participation in activities was the strongest predictor of QOL (p < 0.0001), explaining 20% of the variance (R2) in QOL, with all other variables together accounting for another 18% of the variance. The importance of participation in activities on rectal cancer survivors' QOL is underappreciated. We recommend revising QOL instruments used in cancer care and research to include questions about participation in activities. Interventions should address maintenance of preferred activities and adoption of new, fulfilling activities.

Socioeconomic Indicators Shaping Quality of Life and Illness Acceptance in Patients with Chronic Obstructive Pulmonary Disease.

Quality of life (QoL) combined with the acceptance of illness reflects the efficiency of therapy and the level of patients' satisfaction with medical care. Education, marital status, and place of residence were used as the socio-economic status indicators. The purpose of this study was to determine the relationship between the levels of QoL and acceptance of illness (AI) and the socio-demographic data in patients with chronic obstructive pulmonary disease (COPD). The study involved 264 adult COPD patients. The average duration of COPD was 9years (Q1-Q3: 3.0-12.0). The duration of the disease was significantly shorter in patients from rural areas. QoL correlated positively with AI (r = 0.69, p < 0.0001). The general QoL and AI were most strongly influenced by education, gender, and age. Education is a strong predictor of QoL and AI, and the latter correlate with the socioeconomic status of COPD patients. It is recommended that COPD patients with a low level of education have regular medical check-ups and are included in the preventive programs by general practitioners to improve their somatic status and QoL level.

Quality of Life Predictors and Normative Data

This study identifies predictors and normative data for quality of life (QOL) in a sample of Portuguese adults from general population. A cross-sectional correlational study was undertaken with two hundred and fifty-five (N = 255) individuals from Portuguese general population (mean age 43 years, range 25–84 years; 148 females, 107 males). Participants completed the European Portuguese version of the World Health Organization Quality of Life short-form instrument and the European Portuguese version of the Center for Epidemiologic Studies Depression Scale. Demographic information was also collected. Portuguese adults reported their QOL as good. The physical, psychological and environmental domains predicted 44 % of the variance of QOL. The strongest predictor was the physical domain and the weakest was social relationships. Age, educational level, socioeconomic status and emotional status were significantly correlated with QOL and explained 25 % of the variance of QOL. The strongest predictor of QOL was emotional status followed by education and age. QOL was significantly different according to: marital status; living place (mainland or islands); type of cohabitants; occupation; health. The sample of adults from general Portuguese population reported high levels of QOL. The life domain that better explained QOL was the physical domain. Among other variables, emotional status best predicted QOL. Further variables influenced overall QOL. These findings inform our understanding on adults from Portuguese general population QOL and can be helpful for researchers and practitioners using this assessment tool to compare their results with normative data.

Dimensions and determinants of quality of life among senior citizens of Lucknow, India

Background : In India, there is low awareness about special needs of the elderly and their care takers. We are yet to understand the basics of elderly care (physical and mental health, psychological and social support). Objectives : (1) To study the dimensions of quality of life (QOL) of elderly people living in community and in old age homes (OAHs). (2) To determine the predictors of QOL among elderly people. Materials and Methods : A cross-sectional descriptive study was undertaken with elderly people (age ≥60 years) from the community and from OAHs residing in Lucknow city, India were the participants. Multistage sampling technique was used in the general population and all the elderly people living in OAHs were included in the study. 141 elderly people from community and 101 elderly people from OAHs were studied after taking oral consent and scoring ≥20 on Mini Mental State Examination instrument. Instrument used for assessing QOL was World Health Organization QOL-bref. Tools used to screen out anxiety and depression cases were Geriatric Depression Scale - Hindi version and Hamilton Anxiety Rating Scale. Results : The mean scores of QOL domains were higher among married elderly people, elderly people without mental health problem and elderly people without psychosocial issue/s. Similarly, it was higher among elderly people living in the community and paid OAHs than in free OAHs. Conclusion : QOL of elderly residing in paid OAHs were similar to those from the community. Financial dependency was the strongest predictor of QOL.

The Role of Inner Strength in Quality of Life and Self‐Management in Women Survivors of Cancer

The role of inner strength in quality of life (QOL) and self-management, primary variables in the Theory of Inner Strength, were examined with demographic and clinical characteristics in 107 women with cancer. The strongest predictors of QOL were depressive symptoms, inner strength, and time since diagnosis, respectively, accounting for 82% of the variance in QOL. When depressive symptoms were excluded due to multicollinearity, 64% of variance in QOL was explained by inner strength, time since diagnosis, and comorbidities, with inner strength the strongest predictor. The strongest predictors of self-management were depressive symptoms and inner strength, accounting for 17% of the variance. Results contribute to theory development and suggest the value of supporting inner strength to enhance QOL in cancer survivors.

Trajectories of quality of life in early‐stage dementia: individual variations and predictors of change

Little evidence is available about how quality of life (QoL) changes as dementia progresses. We explored QoL trajectories over a 20-month period and examined what predicted change in QoL. Fifty-one individuals with a diagnosis of Alzheimer's, vascular or mixed dementia (people with dementia (PwD)) participating in the Memory Impairment and Dementia Awareness Study rated their QoL using the QoL-Alzheimer's Disease Scale at baseline and at 20-month follow-up. PwD also rated their mood and quality of relationship with the carer. In each case, the carer rated his or her level of stress and perceived quality of relationship with the PwD. There was no change in mean QoL score. Nearly one-third of PwD rated QoL more positively at 20-month follow-up and nearly one-third rated QoL more negatively. These changes could be regarded as reliable in one-quarter of the sample. Participants taking acetylcholinesterase-inhibiting medication at baseline were more likely to show a decline in QoL score. There were no other significant differences between those whose scores increased, decreased or stayed the same on any demographic or disease-related variables, or in mood or perceived quality of relationship with the carer. Whereas baseline QoL score was the strongest predictor of QoL at 20 months, the quality of relationship with the carer as perceived by the PwD was also independently a significant predictor. There is a degree of individual variation in QoL trajectories. Use of acetylcholinesterase-inhibiting medication appears linked to decline in QoL score, whereas positive relationships with carers play an important role in maintaining QoL in early-stage dementia.

Influence of Depressive Mood on Quality of Life Ratings of Women with Epilepsy of Childbearing Age / Влияние Депрессивного Настроения На Оценку Качества Жизни У Женщин С Эпилепсией В Детеродном Возрасте

Depressive disorders are the most frequent psychiatric comorbidity in epilepsy. Depressive mood affects negatively quality of life (QOL) ratings, sometimes having greater impact than seizure-related variables. Women with epilepsy are a specific subgroup at risk of comorbid depression in consequence of certain biopsychosocial demands. The AIM of this study was to assess the relative contribution of mood, seizure-related and demographic variables on QOL scores in women with epilepsy of childbearing age. A psychiatric assessment was carried out of 65 women with epilepsy (aged 18-55, mean 37.23 +/- 11.83 yrs). Comorbid depressive disorder was diagnosed according to ICD-10 criteria. Its severity was evaluated on the Hamilton Depression Rating Scale (HAMD-17). A questionnaire for demographic and seizure-related variables was completed. Two self-assessment questionnaires were administered: the Seizure Severity Questionnaire (SSQ) and the Quality of Life in Epilepsy Inventory-31 (QOLIE-31). The data were analysed using SPSS for Windows (version 17.0). Univariate correlation and multiple stepwise regression analyses were performed to explore the association between possible prognostic variables (independent variables) and QOLIE-31 overall and subscale scores (dependent variables). Analysis showed that demographic factors: employment and education; seizure-related factors: seizure severity, seizure frequency, antiepileptic drug therapy and comorbid depressive disorder were the variables significantly associated with QOLIE-31 overall score (p < 0.01). A three variable model accounted for 64.8% of the variance in QOLIE-31 overall score including seizure severity, comorbid depression and seizure frequency. Clinical factors are the strongest predictors of QOL of women with epilepsy in our study, seizure severity and comorbid depression being the main contributors. Paying attention to the psychological needs of women with epilepsy will have a positive effect on their QOL.