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 The relationship between quality of life and social support among nurses: A cross-sectional study

2019 ◽  
Vol 28 (2) ◽  
pp. 242
Author(s):  
Samira Jafari ◽  
Fatemeh Shojaei ◽  
Maryam Puryaghoob ◽  
Malihe Babahaji ◽  
SomayyeGhavipanje Rezaei
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Relationship

scholarly journals The Role of Perceived Social Support on Quality of Life in Patients with Cardiovascular Diseases in Iran: A Cross-Sectional Study

2021 ◽  
Author(s):  
Khalil Maleki Chollou ◽  
Shayesteh Shirzadi ◽  
Soheila Ranjbaran ◽  
Saber Gaffari-fam ◽  
Towhid Babazadeh
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Perceived Social Support ◽  
Cross Sectional Study ◽  
Demographic Variables ◽  
Sectional Study ◽  
Cross Sectional ◽  
Income Status ◽  
Cardiovascular Patients

Abstract Background: Cardiovascular disease significantly impairs quality of life. Inadequate social support has been associated with poor quality of life in patients with Cardiovascular. The aim of this study was to describe social support and explore its association with quality of life among cardiovascular patients.Methods: This cross sectional study was conducted in 2020 from September to January. We selected 150 cardiovascular patients through convenience sampling. The structured questionnaires included: the Persian version of the WHOQOL-BREF was used to obtain the necessary data on the quality of life, psychometric evaluation of the interpersonal support evaluation list–short form as well as demographic variables were included in each questionnaire. Hierarchical linear regression models were used to explore the association between perceived social support and quality of life.Results: The demographic variables were able to predict 12.2% of the variance of quality of life in the first step. In the second step, after adjusting control variables, dimensions of social support the predictability increased to 29% of the variance with the addition of variables. All dimensions of social support, excluding tangible assets support, were significant predictors of quality of life in addition to monthly income status. Self-esteem support (β= 0.387) was the higher level of predictor of quality of life in cardiovascular patients.Conclusion: Overall, the current study revealed that social support is one of the strategies that cardiovascular patients can utilize to improve their quality of life and overcome their disease. It is possible to say that enhancing social support in patients improves their health and quality of life.

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 Effects of stigma, hope and social support on quality of life among Chinese patients diagnosed with oral cancer: A multi-center, cross-sectional study

2020 ◽  
Author(s):  
Ying Zhang ◽  
Chun-Ying Cui ◽  
Yu Wang ◽  
Lie Wang
Keyword(s):  
Social Support ◽  
Oral Cancer ◽  
Cancer Patients ◽  
Perceived Social Support ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Oral Cancer Patients ◽  
Medical University

Abstract BackgroundImprovement of quality of life (QoL) has been one of goals in health care for people living with oral cancer. This study aimed at assessing the QoL and investigate the effects of stigma, hope, social support on QoL among Chinese oral cancer patients. MethodsA multiple center cross-sectional study was conducted at the Department of Stomatology, Shengjing Hospital of China Medical University and Stomatology Hospital of China Medical University in Liaoning province, China between May 2016 and October 2017. A total of 230 oral cancer patients were recruited to complete a questionnaire including the Functional Assessment of Cancer Therapy-Head and Neck (FACT-H&N), the Social Impact Scale (SIS), the Herth Hope Index (HHI) and the Multidimensional Scale of Perceived Social Support (MSPSS). Univariate one-way ANOVA/t-test, Person’s r and hierarchical linear regression analysis were conducted to explore the influence factors of QoL and the relationships between stigma, hope, perceived social support and QoL. ResultsThe mean QoL score was 90.85±20.15 among the patients with oral cancer. Stigma was negatively related to QoL, explaining 39.3% of the variance. In addition, hope and perceived social support were positively associated with QoL, explaining 8.1% of the variance.ConclusionOverall, Chines patients with oral cancer are suffering from a relatively low level of QoL. Stigma was significantly and negatively associated with QoL, while hope and perceived social support were positively associated with QoL. Oral cancer patients’ psychological status should be addressed and adequate intervention based on positive psychological resources should be provided to improve the QoL of patients with oral cancer.

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.

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