Quality of life in terminal care—with special reference to age, gender and marital status

2005 ◽  
Vol 14 (4) ◽  
pp. 320-328 ◽  
Author(s):  
C. Lundh Hagelin ◽  
Åke Seiger ◽  
C. J. Fürst
Keyword(s):  
Quality Of Life ◽  
Marital Status ◽  
Special Reference ◽  
Terminal Care

Evaluation of Cognitive Distortions and Quality of Life in Elderly Women with Marital Status

2017 ◽  
Vol 3 (2) ◽  
pp. 76-88
Author(s):  
Mojtaba Snsari Shahidi ◽  
Narges Zamani ◽  
◽  
Keyword(s):  
Quality Of Life ◽  
Marital Status ◽  
Cognitive Distortions ◽  
Elderly Women

Terminal care for children dying of cancer: quantity and quality of life

BMJ ◽  
1985 ◽  
Vol 291 (6495) ◽  
pp. 604-605
Author(s):  
V A Broadbent ◽  
J A Jones
Keyword(s):  
Quality Of Life ◽  
Terminal Care

scholarly journals The Possible Protective Effect of Marital Status in Quality of Life Among Elders in a U.S.-Mexico Border City

2017 ◽  
Vol 54 (4) ◽  
pp. 480-484 ◽  
Author(s):  
Marisela Gutiérrez-Vega ◽  
Oscar Armando Esparza-Del Villar ◽  
Irene Concepción Carrillo-Saucedo ◽  
Priscila Montañez-Alvarado
Keyword(s):  
Quality Of Life ◽  
Protective Effect ◽  
Marital Status ◽  
Border City ◽  
Mexico Border

scholarly journals Marital status and the quality of life

1980 ◽  
Author(s):  
Audrey Lynette Haskins Long
Keyword(s):  
Quality Of Life ◽  
Marital Status

scholarly journals Quality of Life during the First Two Years Post Stroke: The Restore4Stroke Cohort Study

2015 ◽  
Vol 41 (1-2) ◽  
pp. 19-26 ◽  
Author(s):  
Maria L. van Mierlo ◽  
Caroline M. van Heugten ◽  
Marcel W.M. Post ◽  
Tibor R.S. Hajós ◽  
L. Jaap Kappelle ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Life Satisfaction ◽  
Cohort Study ◽  
Marital Status ◽  
Discharge Destination ◽  
Confounding Effect ◽  
Level Of Education ◽  
Post Stroke ◽  
Status Level

Background: Little information is available about the course of quality of life (QoL) post stroke and how dependency on activities of daily living (ADL) influences this course. The aim of this study was therefore to describe the course of QoL from 2 months up to 2 years post stroke and to study the influence of ADL dependency in the first week post stroke. Methods: This is a multicenter prospective longitudinal cohort study in which 368 stroke patients were included and data were collected at 1 week, 2 months, 6 months, 12 months and 24 months post stroke. QoL assessment included measures of health-related quality of life (HRQoL) (short stroke-specific Quality of Life Scale), emotional functioning (Hospital Anxiety and Depression Scale), participation (Utrecht Scale for Evaluation of Rehabilitation-Participation), and life satisfaction (2LS). Dependency on ADL was defined as having a Barthel Index score ≤17 four days post stroke. Generalized Estimating Equations analyses were performed to examine the course of the 4 domains of QoL. Furthermore, the possible confounding effect of age, gender, marital status, level of education and discharge destination was examined. Results: Results showed that HRQoL, participation and life satisfaction improved during the first year post stroke, with most changes occurring in the first 6 months. Furthermore, patients dependent in ADL scored consistently lower on all 4 QoL domains and test occasions compared to ADL-independent patients. In both patient groups separately, no changes over time were found in emotional functioning. ADL-independent patients improved in HRQoL (p = 0.002), participation (p < 0.001) and life satisfaction (p = 0.020) between 2 and 6 months and in life satisfaction (p = 0.003) between 6 and 12 months also. ADL-dependent patients improved in HRQoL (p = 0.009) between 2 and 6 months and in participation between 2 and 6 months (p = 0.001) and between 6 and 12 months (p = 0.031). Furthermore, they experienced no changes in life satisfaction. No confounding effect was found after adding age, gender, marital status, level of education and discharge destination. Conclusions: Most improvement in QoL occurred up to 6 months post stroke and showed different patterns for specific domains of QoL and for patients with and without dependency in ADL in the first week post stroke. It is therefore important to differentiate between these different domains of QoL when the long-term perspective is considered. Furthermore, patients dependent in ADL consistently scored lower on all QoL domains and did not reach the level of QoL of patients independent of QoL.

Relationship Between Quality of Life of Children With Cancer and Caregiving Competence of Main Family Caregivers

2020 ◽  
pp. 104345422097569
Author(s):  
Angie López León ◽  
Sonia Carreño Moreno ◽  
Mauricio Arias-Rojas
Keyword(s):  
Quality Of Life ◽  
Marital Status ◽  
Family Caregivers ◽  
Sociodemographic Characteristics ◽  
Children With Cancer ◽  
Cross Sectional ◽  
Proxy Report ◽  
Study Results ◽  
Main Family

Objective: The purpose of this study was to describe the caregiver’s proxy-report of the quality of life (QoL) of children with cancer and the main family caregiver’s competence, and to examine the role of said competence and other care-related variables in their proxy-reported QoL of children with cancer. Method: This was a cross sectional, correlation design study conducted with 97 main family caregivers of children between the ages of 8 and 12 years with cancer residing in Colombia. The following variables were collected: main family caregiver and child sociodemographic characteristics (Survey for Dyad Care; GCPC-UN-D), The Pediatric Quality of Life Inventory 4.0 Cancer Module, and the Competence Instrument (caregiver version). Results: The mean of the children’s QoL was 102.0 points, and the caregivers’ competence score was 211.24. Caregiver’s competence ( t = 5.814, p < .01), marital status ( t = 1.925, p < .05), time as a caregiver ( t = 2.087, p < .05), number of hours spent caring for the child ( t = 2.621, p < .05), and caregiver’s previous caring experiences ( t = 2.068, p < .05) were found to influence caregiver’s proxy-report of the QoL of children with cancer. Conclusions: High competence in main family caregivers positively influence caregiver’s proxy-report of the QoL of children with cancer. Study results also suggest that nurses should consider the caregivers’ sociodemographic characteristics such as marital status, time as a caregiver, number of hours spent caring for the child, and caregiver’s previous experiences because those aspects influence main family caregivers’ proxy-report about their children’s QoL.

For better or for worse: Marital status transitions and sexual life in middle and later life

2020 ◽  
Vol 37 (5) ◽  
pp. 1451-1471
Author(s):  
Jeffrey E. Stokes ◽  
Elizabeth Gallagher ◽  
Remona Kanyat ◽  
Cindy Bui ◽  
Celeste Beaulieu
Keyword(s):  
Quality Of Life ◽  
Marital Status ◽  
Sexual Activity ◽  
Aging Population ◽  
Sexual Life ◽  
Life Outcomes ◽  
Sexual Quality Of Life ◽  
Quality Of Life Outcomes ◽  
Lagged Dependent Variable

Marital status and marital status transitions have known implications for adults’ mental and physical quality of life. Less attention has been paid, however, to the implications of marital status and transitions for sexual quality of life, particularly among the aging population. The present study analyzed three-wave longitudinal data from the National Survey of Midlife Development in the U.S. (1995–2014) in order to examine the effects of marital status/transitions on adults’ frequency of sexual activity, sexual satisfaction, effort put into sexual life, and control over sexual life. Further, this study assessed whether the implications of marital status/transitions for adults’ sexual quality of life varied according to (a) pre-transition reports of sexual quality of life, (b) gender, and/or (c) age. Multilevel lagged dependent variable models analyzed 2,869 observations drawn from 1,769 midlife and older adults over a two-decade span. Results indicated that the implications of marital status and marital status transitions for sexual life (a) were contingent upon baseline context across all four sexual quality of life outcomes, (b) varied by gender across three of the four sexual quality of life outcomes, and (c) varied only slightly by age concerning frequency of sexual activity. Overall, findings indicated that marital status transitions may be either beneficial or detrimental for adults’ sexual lives, depending on prior context; marital status transitions were most beneficial for sexual quality of life when baseline reports of sexual life were poor. Moreover, women were less likely to reap the potential rewards of marital status transitions such as divorce and widowhood, reflecting stronger social and normative constraints upon unmarried women’s sexuality, particularly for older women. We situate these findings within the growing literature concerning marital status transitions, the “graying of divorce,” and sexual life among the aging population.

Comparison of rural versus urban residence for symptoms and quality of life in recurrent ovarian cancer: Baseline analysis of GOG-0259, an NRG Oncology/GOG study.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18083-e18083 ◽  
Author(s):  
Sarah M. Belcher ◽  
Susan M. Sereika ◽  
Zan M. Dodson ◽  
Meghan K. Mattos ◽  
Teresa Hagan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Ovarian Cancer ◽  
Marital Status ◽  
Recurrent Ovarian Cancer ◽  
Future Research ◽  
Protective Effects ◽  
Financial Barriers ◽  
Wide Range ◽  
The Impact

e18083 Background: Women with recurrent ovarian cancer (OC) experience a wide range of cancer- and treatment-related symptoms that negatively impact quality of life (QOL). Studies have reported healthcare disparities by geographic residence related to distance, time, and financial barriers to accessing high quality care. However, no studies have evaluated the impact of residence on symptoms and QOL in women with OC. Therefore, our objectives were to evaluate whether geographic residence (urban versus rural) is associated with symptoms and QOL in a sample of women with recurrent OC. Methods: The Center for Health Equity Research and Promotion conceptual framework guided analyses of baseline GOG-0259 data. We mapped zip codes to RUCA commuter codes and compared sociodemographic and clinical variables between rural and urban groups using two-sample t and chi-square tests. We used MANCOVA, adjusted for age and marital status, to test for associations between residence and symptoms (Symptom Representation Questionnaire) and QOL (Functional Assessment of Cancer Therapy-Ovarian). Results: Rural (n = 122, 25%) and urban (n = 374, 75%) women were similar in all sociodemographic and clinical comparisons except for marital status (83% vs. 70% married, p = .003). Women reported moderate symptom severity (M = 5.5, SD = 2.3) and QOL scores similar to other OC studies (M = 108.4, SD = 19.5). In multi-variate analyses, age and marital status were both associated with symptoms; marital status was associated with QOL. Geographical residence was not associated with either symptoms or QOL. Conclusions: Counter to previous research, there were no symptom or QOL disparities based on geographic residence in this sample. Possible explanations to be explored in future research include a) cooperative group selection bias for women with good access to care regardless of geographic residence and b) protective effects of marital status on symptoms and QOL.

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