Impact of social support on psychosocial symptoms and quality of life in cancer patients: results of a multilevel model approach from a longitudinal multicenter study
Abstract:Background: This prospective multicenter study aimed to investigate the courses of positive support (PS) and detrimental interaction (DI), two different aspects of social support, and the relation between social support and psychosocial distress and/or health-related quality of life (HRQOL) in a large sample of patients with different cancers. Methods: For this observational study, we enrolled adult patients with cancer from 13 comprehensive cancer centers (CCCs) in Germany. We included a total of 1087 patient… Show more
“…One study calculated the proportion of between-county variation in HRQoL that was explained by country-level contextual variables. There were also some studies to adopt the MLM to explore the different level predictors associated with HRQoL in overweight children, cancer patients, adolescents, neuropathic pain patients and cardiovascular patients [ 5 , 15 – 18 ]. HIV/AIDS is a disease that requires comprehensive social prevention.…”
Background
HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent. The additional of so called fourth 90% that included the improved health-related quality of life (HRQoL) for people living with HIV (PLWHIV) required solutions beyond antiretroviral therapy and viral load suppression. This study will explore the role of personality, social economic and prevention strategy effection on HRQoL among people living with HIV/AIDS.
Methods
A cross-sectional study was conducted among PLWHIV aged more than 16 years old in the 10 municipalities in Yunnan Province, China from October 2019 to May 2020, enrolling total 1997 participants. Individual-level HRQoL data were measured by 12-item Short Form Health Survey (SF-12) and EuroQol Five Dimensions Questionnaire (EQ-5D-5L). We assembled municipal-level data about social economic from Yunnan Statistical Yearbook in 2020 and strategy practice information from the self-evaluation system. We used the principal component analysis to build the social economic and strategy effect on each area respectively and one-way ANOVA was used to perform univariate analysis to identify the predictors with significant differences. Finally we used multi-level model (MLM) to explore the personality, social economic and strategy effects in health-related quality of life among PLWHIV.
Results
The global score for quality of life measured using EQ-5D-5L had an estimated mean score (standard deviation, SD) of 0.901 ± 0.146. The HRQoL score measured using PCS-12 had an estimated mean score (SD) of 46.62 ± 8.55. The mean MCS-12 score (SD) was estimated to be 47.80 ± 9.71. The area-level predictors explained a proportion of 13.6–17.2% for the between-area variation of the HRQoL scores, regardless of the total HRQoL, physical component and mental component. The impacts of stigma (P < 0.01), social support (P < 0.001), anxiety (P < 0.001), depression (P < 0.05) and social economic status (P < 0.05) on HRQoL at the individual-level were significantly different. The plots visualized the impact of individual-level factors on a respondent’s HRQoL was modified by the area-level characteristics.
Conclusions
The study identified the possible strategy determinant of individual HRQoL of PLWHIV and also the area effect on HRQoL. Stigma, social support, anxiety, depression and social economic status were the individual-level determinants on HRQoL. These could be a valuable resource for evaluating the overall health of the areas and help improve local decision making.
Graphic abstract
“…One study calculated the proportion of between-county variation in HRQoL that was explained by country-level contextual variables. There were also some studies to adopt the MLM to explore the different level predictors associated with HRQoL in overweight children, cancer patients, adolescents, neuropathic pain patients and cardiovascular patients [ 5 , 15 – 18 ]. HIV/AIDS is a disease that requires comprehensive social prevention.…”
Background
HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent. The additional of so called fourth 90% that included the improved health-related quality of life (HRQoL) for people living with HIV (PLWHIV) required solutions beyond antiretroviral therapy and viral load suppression. This study will explore the role of personality, social economic and prevention strategy effection on HRQoL among people living with HIV/AIDS.
Methods
A cross-sectional study was conducted among PLWHIV aged more than 16 years old in the 10 municipalities in Yunnan Province, China from October 2019 to May 2020, enrolling total 1997 participants. Individual-level HRQoL data were measured by 12-item Short Form Health Survey (SF-12) and EuroQol Five Dimensions Questionnaire (EQ-5D-5L). We assembled municipal-level data about social economic from Yunnan Statistical Yearbook in 2020 and strategy practice information from the self-evaluation system. We used the principal component analysis to build the social economic and strategy effect on each area respectively and one-way ANOVA was used to perform univariate analysis to identify the predictors with significant differences. Finally we used multi-level model (MLM) to explore the personality, social economic and strategy effects in health-related quality of life among PLWHIV.
Results
The global score for quality of life measured using EQ-5D-5L had an estimated mean score (standard deviation, SD) of 0.901 ± 0.146. The HRQoL score measured using PCS-12 had an estimated mean score (SD) of 46.62 ± 8.55. The mean MCS-12 score (SD) was estimated to be 47.80 ± 9.71. The area-level predictors explained a proportion of 13.6–17.2% for the between-area variation of the HRQoL scores, regardless of the total HRQoL, physical component and mental component. The impacts of stigma (P < 0.01), social support (P < 0.001), anxiety (P < 0.001), depression (P < 0.05) and social economic status (P < 0.05) on HRQoL at the individual-level were significantly different. The plots visualized the impact of individual-level factors on a respondent’s HRQoL was modified by the area-level characteristics.
Conclusions
The study identified the possible strategy determinant of individual HRQoL of PLWHIV and also the area effect on HRQoL. Stigma, social support, anxiety, depression and social economic status were the individual-level determinants on HRQoL. These could be a valuable resource for evaluating the overall health of the areas and help improve local decision making.
Graphic abstract
“…Social support is a crucial resource in reducing distress and enhancing the quality of life in cancer patients 27 . Furthermore, evidence from prior research shows that social support is related to the acceptance of illness 28 .…”
Section: Discussionmentioning
confidence: 99%
“…The mentioned facilitators and barriers for prognostic acceptance are well‐known resources or stressors in the context of malignant diseases like cancer 27–39 . Perhaps, patients were not able to clearly differentiate between factors affecting coping with the disease in general and factors impacting prognostic acceptance.…”
Section: Discussionmentioning
confidence: 99%
“…Social support is a crucial resource in reducing distress and enhancing the quality of life in cancer patients. 27 Furthermore, evidence from prior research shows that social support is related to the acceptance of illness. 28 The feeling of being cared for and of belonging may strengthen patients emotionally and may not only foster prognostic acceptance, but also generally help with coping with the disease.…”
Section: Facilitators For Prognostic Acceptancementioning
confidence: 99%
“…The mentioned facilitators and barriers for prognostic acceptance are well-known resources or stressors in the context of malignant diseases like cancer. [27][28][29][30][31][32][33][34][35][36][37][38][39] Perhaps, patients were not able to clearly differentiate between factors affecting coping with the disease in general and factors impacting prognostic acceptance. Even though the sample of the study is a convenience sample, theoretical saturation was reached by the 11th interview.…”
Objective
Prognostic awareness is essential for making treatment decisions in malignant diseases. Being confronted with a poor prognosis, however, can affect patients' mental health. Therefore, it is important to study coping in the context of malignant diseases. Acceptance is an adaptive coping strategy associated with less psychological distress. This study sought to explore the facilitators and barriers for prognostic acceptance in a sample in which both hope and uncertainty regarding prognosis are pronounced: multiple myeloma patients.
Methods
In a German university hospital, 20 multiple myeloma patients participated in semistructured interviews. Following thematic content analysis by Kuckartz, the interview transcripts were coded for facilitators and barriers for prognostic acceptance. Additionally, patients completed questionnaires on prognostic awareness and sociodemographic characteristics.
Results
Patients described the following facilitators for prognostic acceptance: social support, positive thinking, focusing on the Here and Now, proactive confrontation, having little to no symptoms, and being there for others. The indicated barriers were distressing physical symptoms and restricted functioning, social distress, and additional distress from other areas of life.
Conclusions
Patients reported a variety of factors—related to the social realm, symptom burden, and specific attitudes—that help or hinder them in accepting their prognosis. Oncologists and psycho‐oncologists may support prognostic acceptance by encouraging patients to both actively deal with realistic information as well as enjoy pleasant and meaningful moments in the present during which the disease and its prognosis recedes into the background.
ObjectiveAs social support has been shown to have beneficial effects on coping with cancer, our study aims to close the research gap on perceived social support in adolescent and young adult (AYA) cancer survivors.MethodsAYAs evaluated their perceived positive social support (PS) and detrimental interactions (DI) by completing the Illness‐Specific Social Support Scale (ISSS‐8) upon completion of acute treatment (t1) as well as 1 year (t2) and 7 years (t6) later. Temporal changes of social support were examined. Sociodemographic, psychological and medical factors were investigated as predictors for PS and DI by using mixed effects models.ResultsWe analyzed data from 319 cancer survivors (74.9% women). At baseline, survivors reported an average score of 13.73 (SD = 2.52) for PS and 3.92 (SD = 2.85) for DI. Average perceived PS changed over time, while DI remained stable. Males, AYAs without a partner and AYAs with clinically meaningful anxiety or depression levels reported fewer PS. Higher effort to cope with the disease and clinically significant anxiety and depression levels were associated with more perceived DI.ConclusionsExisting social networks and perceived social support should be evaluated regularly in AYA‐cancer survivorship. The identification and discussion of mental health of AYAs should also be a standard component in survivor consultations both during treatment and follow‐up care, as elevated depression and anxiety levels were associated with fewer PS and more perceived DI.
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