scholarly journals Social support, functional outcome and quality of life among stroke survivors in an urban area

2019 ◽  
Vol 13 ◽  
Author(s):  
Nipaporn Butsing ◽  
Mathuros Tipayamongkholgul ◽  
Disya Ratanakorn ◽  
Nawarat Suwannapong ◽  
Kanitta Bundhamcharoen
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Functional Outcome ◽  
Short Form ◽  
Cross Sectional Study ◽  
Linear Regression Method ◽  
Stroke Survivors ◽  
Cross Sectional ◽  
The Mean

AbstractSophisticated medical technologies can prolong a stroke patient’s life but not always their quality of life (QoL) due to poor functional outcomes. Social support can theoretically assist a patient’s adaptation to life after stroke and improve their QoL, but existing findings are inconclusive. This inconclusiveness is especially found in large cities where family and social bonding can be scarce. We conducted a hospital-based, cross-sectional study among 358 stroke patients to identify the effects of social support and functional outcome on QoL and its domains. The study took place in Bangkok, Thailand between July and December 2016. Data were collected by personal interview using a structured questionnaire that included the Short-Form WHO Quality of Life Instrument (WHOQOL-BREF) and by review of medical records. A hierarchical linear regression method was used to analyze data. The mean age of stroke respondents was 66.0 years (SD 13.5 years), and half were male. The mean total QoL score for patients was 68.6 (SD 15.2). Hierarchical multiple regression analysis found emotional support significantly impacted QoL in every domain (ps < .05) when all included variables were controlled for. To improve the quality of life among stroke survivors, health personnel and family members should provide not only physical assistance but also psychological support.

scholarly journals Soft Tissue Sarcoma of Lower Extremity: Functional Outcome and Quality of Life

2021 ◽  
Author(s):  
Gilber Kask ◽  
Jussi P. Repo ◽  
Erkki J. Tukiainen ◽  
Carl Blomqvist ◽  
Ian Barner-Rasmussen
Keyword(s):  
Quality Of Life ◽  
Soft Tissue ◽  
Lower Extremity ◽  
Functional Outcome ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Related Factors ◽  
Cross Sectional ◽  
The Mean

Abstract Background Few studies have focused on patient-related factors in analyzing long-term functional outcome and health-related quality of life (HRQoL) in patients with postoperative lower extremity soft tissue sarcoma (STS). Objective The purpose of this study was to investigate factors associated with postoperative functional outcome and HRQoL in patients with lower extremity STS. Methods This cross-sectional study was performed in a tertiary referral center using the Toronto Extremity Salvage Score (TESS), Quality-of-Life Questionnaire (QLQ)-C30 and 15 Dimension (15D) measures. Functional outcome and HRQoL data were collected prospectively. All patients were treated by a multidisciplinary team according to a written treatment protocol. Results A total of 141 patients who had undergone limb-salvage surgery were included. Depending on the outcome measure used, 19–51% of patients were completely asymptomatic and 13–14% of patients had an unimpaired HRQoL. The mean score for TESS, 15D mobility score, and QLQ-C30 Physical Functioning scale were 86, 0.83, and 75, respectively, while the mean score for 15D was 0.88, and 73 for QLQ-C30 QoL. Lower functional outcome was statistically significantly associated with higher age, higher body mass index (BMI), and the need for reconstructive surgery and radiotherapy, while lower HRQoL was statistically significantly associated with higher age, higher BMI, and reconstructive surgery. Conclusion Functional outcome and HRQoL were generally high in this cross-sectional study of patients with STS in the lower extremity. Both tumor- and treatment-related factors had an impact but patient-related factors such as age and BMI were the major determinants of both functional outcome and HRQoL.

scholarly journals The Relationship Between Social Support From Family and Quality of Life Among Cancer Patients: A Cross-Sectional Study

2020 ◽  
Vol 30 (4) ◽  
pp. 217-223
Author(s):  
Ismail Toygar ◽  
Öznur Usta Yeşilbalkan ◽  
Merve Kürkütlü ◽  
Tuğba Akgün
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Cancer Patients ◽  
Perceived Social Support ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean ◽  
The Relationship

Introduction: Improving the Quality of Life (QoL) is considered one of the main objectives in the care of cancer patients. Achieving this objective, it is essential to determine the factors affecting QoL in cancer patients. The studies in the literature have determined the effects of various factors on QoL but social support from family has remained to be studied.  Objective: The present study aimed to determine the relationship between perceived social support from family and QoL in cancer patients. Materials and Methods: This cross-sectional study was conducted in an oncology unit of a university hospital in İzmir City, Turkey, from March to October 2019. A convenience sample of 276 cancer patients participated in the study. A patient identification form, the Perceived Social Support from family scale (PSS-Family), and the Quality of Life index-cancer version (QLI-C) were used for data collection. The scores of PSS-Family and QLI-C range from 0 to 20 and from 66 to 396, respectively. Regression analysis was used to estimate the effect of perceived social support from family on QoL. Results: Of the participants, 65.2% were female. The Mean±SD age of the study sample was 47.5±14.4 years. Also, the Mean±SD scores of PSS-Family and QLI-C were 16.43±3.01 and 307.77±27.48, respectively. Regression analysis revealed that perceived social support from family was associated with a relative increase in QoL index (B=3.44, P=0.001, R2=0.141). Conclusion: Perceived social support from family is positively associated with QoL in cancer patients. Nurses should consider this relationship when they plan to improve the QoL of cancer patients.

scholarly journals Factors Influencing the Quality of Life of Healthy Pregnant Women in North Jordan

Medicina ◽  
2019 ◽  
Vol 55 (6) ◽  
pp. 278 ◽  
Author(s):  
Ghadeer Alzboon ◽  
Gülşen Vural
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Perceived Stress ◽  
Perceived Social Support ◽  
Short Form ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
High Social Support ◽  
Social Support Scale

Background and Objectives: Quality of life (QOL) assessment during pregnancy contributes to determining women’s unmet needs and preventing negative health outcomes. In this study, we aimed to identify the effects of participants’ characteristics, perceived stress, and perceived social support on their QOL. We also aimed to determine the differences in QOL according to these factors. Materials and Methods: A cross-sectional study was carried out in a city in Jordan. Purposive sampling was used to select 218 participants. Data was collected by the quality of life Short Form- 36(SF-36) survey, perceived stress scale (PSS), and The Multidimensional perceived Social Support Scale (MSPSS). Results: We found that only parity had a significant effect on the QOL. High-parity women had lower QOL scores than low-parity women. The participants reported high social support, specifically from their families and significant others. The 36-Item Short-Form Health Survey was a reliable tool for measuring the QOL in pregnancy. Conclusions: Parity factor and social support should be recognized in any health promotion intervention and during providing antenatal care. Further research is needed toassess the QOL during pregnancy.

scholarly journals Health related quality of life and its correlates among people with depression attending outpatient department in Ethiopia: a cross sectional study

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Seid Shumye ◽  
Zelalem Belayneh ◽  
Nebiyu Mengistu
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Cross Sectional Study ◽  
Health Related Quality ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Quality ◽  
Health Related ◽  
The Mean

Abstract Background Depression is a common mental disorder negatively affects the cognitive, emotion, behavior, functionality and quality of life of people. Poor quality of life results in high rates of relapse, inability to perform occupational and social activities, impaired future outlook, and increases overall health care related costs. However, there is no available evidence regarding the health related quality of people with depression in Ethiopia. Therefore, evaluating the quality of life of people with depression is crucial. Objective The aim of this study was to assess the health related quality of life and its correlates among people with depression at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia. Methods An institutional based cross-sectional study was conducted from May 1st to 30th, 2018. A randomly selected 394 clients with depression were participated in this study. Health related quality of life was measured using world health organization quality of life brief. The collected data were coded and entered to SPSS version 20 for analysis. Step wise multiple linear regression analysis was used to identify the correlates of quality of life and the strength of the correlation was measured by β coefficient with 95% confidence interval. Results The mean (±SD) scores of quality of life of people with depression were 41.3 ± 7.5, 42.8 ± 8.2, 38.9 ± 8.9 and 41.8 ± 6.5 for physical, psychological, social and environmental domains, respectively. The Multiple regression analysis showed that age of respondents, age of onset of depression, perceived stigma, living arrangement, social support level and duration of illness were statistically significant predictors of health related quality of life of people with depression in all or at least one domain of quality of life. Conclusions This study revealed that nearly half of study participants scored below the mean score in each domain of health related quality of life. This demonstrates a need for improving the quality of life of people with depression through the integration of a positive mental health approach and bio-psychosocial view together with the pharmacological treatments of depression. Moreover, strengthening social support, early identification and treatment of depression and prevention of stigma are also highly recommended to improve the quality of life of people with depression.

scholarly journals Perceived quality of life and associated factors among patients with severe mental illness in Ethiopia: a cross-sectional study

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Seid Shumye ◽  
Tadele Amare ◽  
Habtamu Derajew ◽  
Merdia Endris ◽  
Wondwosen Molla ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Social Support ◽  
Mental Illness ◽  
Severe Mental Illness ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Mean

Abstract Background Severe mental illness is strongly associated with an impaired quality of life. This intern can affect the treatment adherence and outcomes of the illness. However, there are insufficient studies in the literature pertaining to the quality of life of patients with severe mental illness in Ethiopia. Therefore, assessing the quality of life of patients with severe mental illness and its correlates is a yardstick measure of the effectiveness of the mental health service. Methods An institutional based cross-sectional study was conducted from May 1 to 16, 2019 at Amanuel Mental Specialized Hospital. A systematic random sampling technique was used to get a total number of 387 samples. Data were collected using interview-administered questionnaires; World Health Organization Quality of Life Brief Version, Morisky Medication Adherence Screening Tool, Oslo Social Support Scale, and Jacoby Stigma Scale. Simple and multiple linear regression analysis were used to assess the contributing factors of quality of life in the participants and B coefficient with 95% CI confidence interval was used. The statistical significance was accepted at p value < 0.05. Results The result showed that the Mean quality of life score of patients with severe mental illness for each domain (mean ± SD) was 41.3 ± 7.5, 42.8 ± 8.2, 38.9 ± 8.9, and 41.8 ± 6.5 for physical, psychological, social and environmental, respectively. Multiple regression analysis showed that age of participants was strongly positively correlated with all domains of quality of life. It predicts above 45% of the variability in each domain. Social support is also another strong predictor which was negatively correlated with all domains of quality of life, except physical. Conclusion This study revealed that the mean score quality of life of patients with severe mental illness in each domain was low. This demonstrates a need for improving the quality of life of people with severe mental illness by integration of a positive mental health approach and bio-psychosocial view with biological treatment of severe mental illness. Moreover, in Collaboration with medical professionals, people with severe mental illness should screen and managed for any comorbid medical conditions.

scholarly journals Quality of life in multiple sclerosis: The differential impact of motor and cognitive fatigue

2021 ◽  
Vol 7 (1) ◽  
pp. 205521732199604
Author(s):  
Sabina David Ruban ◽  
Claudia Christina Hilt ◽  
Thor Petersen
Keyword(s):  
Quality Of Life ◽  
Multiple Sclerosis ◽  
Short Form ◽  
Cross Sectional Study ◽  
University Hospital ◽  
Cognitive Fatigue ◽  
Cross Sectional ◽  
Impact Scale ◽  
Assessment And Treatment

Background Multiple sclerosis is a chronic disease leading to reduced quality of life. Objectives To investigate whether motor and cognitive fatigue impact differently on aspects of quality of life among patients with multiple sclerosis, independently from bodily disability. Methods 79 patients with multiple sclerosis from Aalborg University Hospital, Denmark were included in an observational, cross-sectional study. Each subject completed two separate questionnaires regarding fatigue (Fatigue Scale for Motor and Cognitive Functions and Modified Fatigue Impact Scale) and one regarding quality of life (Short Form 36). Disability was measured with the Expanded Disability Status Scale (EDSS)-scores obtained from patient records. Results All fatigue scores were significantly correlated to all areas of quality of life (p < 0,05). This remained significant after adjustment for age, disease duration and EDSS-score. When looking at each type of fatigue separately, cognitive fatigue correlated mainly with mental health aspects of quality of life and motor fatigue with physical health areas of quality of life. Conclusion Increased motor and cognitive fatigue lead to a differential reduction in physical and mental quality of life, independently of bodily disability. This underlines the importance of proper assessment and treatment of fatigue among patients with multiple sclerosis.

scholarly journals Predictors of quality of life among patients on dialysis in southern Brazil

2008 ◽  
Vol 126 (5) ◽  
pp. 252-256 ◽  
Author(s):  
Maristela Bohlke ◽  
Diego Leite Nunes ◽  
Stela Scaglioni Marini ◽  
Cleison Kitamura ◽  
Marcia Andrade ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Peritoneal Dialysis ◽  
Short Form ◽  
Outcome Measurement ◽  
Cross Sectional Study ◽  
Southern Brazil ◽  
Cross Sectional ◽  
Sf 36 ◽  
Dialysis Facilities

CONTEXT AND OBJECTIVE: Quality of life (QoL) is considered important as an outcome measurement, especially for long-term diseases such as chronic renal failure. The present study searched for predictors of QoL in a sample of patients undergoing dialysis in southern Brazil. DESIGN AND SETTING: This was a cross-sectional study developed in three southern Brazilian dialysis facilities. METHODS: Health-related QoL of patients on hemodialysis or peritoneal dialysis was measured using the generic Short Form-36 (SF-36) health survey questionnaire. The results were correlated with sociodemographic, clinical and laboratory variables. The analysis was adjusted through multiple linear regression. RESULTS: A total of 140 patients were assessed: 94 on hemodialysis and 46 on peritoneal dialysis. The mean age was 54.2 ± 15.4 years, 48% were men and 76% were white. The predictors of higher (better) physical component summary in SF-36 were: younger age (β-0.16; 95% confidence interval, CI: -0.27 to -0.05), shorter time on dialysis (β-0.06; 95% CI: -0.09 to -0.02) and lower Khan comorbidity-age index (β 5.16; 95% CI: 1.7-8.6). The predictors of higher mental component summary were: being employed (β 8.4; 95% CI: 1.7-15.1), being married or having a marriage-like relationship (β 4.56; 95% CI: 0.9-8.2), being on peritoneal dialysis (β 4.9; 95% CI: 0.9-8.8) and not having high blood pressure (β 3.9; 95% CI: 0.3-7.6). CONCLUSIONS: Age, comorbidity and length of time on dialysis were the main predictors of physical QoL, whereas socioeconomic issues especially determined mental QoL.

scholarly journals Association between social support and quality of life of relative caregivers of elderly dependents

2015 ◽  
Vol 20 (5) ◽  
pp. 1321-1330 ◽  
Author(s):  
Karla Ferraz dos Anjos ◽  
Rita Narriman Silva de Oliveira Boery ◽  
Rafael Pereira ◽  
Larissa Chaves Pedreira ◽  
Alba Benemérita Alves Vilela ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Social Relationships ◽  
Family Health ◽  
Cross Sectional Study ◽  
Full Time ◽  
Cross Sectional ◽  
Relative Caregivers ◽  
The Social

Objective: to ascertain the association between the social support and the quality of life of relative caregivers of elderly dependents at home.Method: a cross-sectional study conducted with 58 relative caregivers of elderly dependents, registered in the Family Health Strategy. Data were collected from the Katz instrument, sociodemographic, Zarit Burden Interview, WHOQOL-bref, and analyzed using descriptive statistics and multiple linear regression.Results: the majority of caregivers were women, who took care full-time and presented moderate to severe burden. Most caregivers are satisfied with their social relationships and the social support received. It is found that the burden and the time of care correlated with the social relationships domain, which is associated with social support, and consequently, reduced quality of life.Conclusion: social support for caregivers is important to prevent health implications, burden, biopsychosocial stress, and provide favorable conditions for quality of life, by allowing greater freedom to develop their daily activities.

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