scholarly journals Health of HIV Infected Children and Social Living Conditions

2019 ◽  
Vol 8 (12) ◽  
pp. 5297-5299
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Parental Care ◽  
Living Conditions ◽  
Social Conditions ◽  
Effect Relationship ◽  
Number Of Factors ◽  
Residential Institutions ◽  
Adverse Influence

The article considers the statistical and cause-effect relationship between social conditions and two groups of features characterizing the psychophysical development and incidence in HIV infected children from residential institutions in comparison with a group of HIV infected children from families. The authors have obtained data on the adverse influence of social living conditions (residential institutions) on the health of HIV infected children. HIV infected children without parental care, living in residential institutions, are more vulnerable in terms of a number of factors and need enhanced integrated medical and social support to correct the existing defects and improve the quality of life.

scholarly journals Quality of Life in Brain Tumor Patients and Their Relatives Heavily Depends on Social Support Factors during the COVID-19 Pandemic

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1276
Author(s):  
Fabian M. Troschel ◽  
Franziska Ahndorf ◽  
Lisa-Marie Wille ◽  
Ralf Brandt ◽  
Johanna Jost ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Brain Tumor ◽  
Tertiary Care ◽  
Social Situation ◽  
Well Being ◽  
Living Conditions ◽  
Tumor Patients ◽  
Entire Family

The COVID-19 pandemic is associated with significant morbidity, mortality, and restrictions on everyday life worldwide. This may be especially challenging for brain tumor patients given increased vulnerability due to their pre-existing condition. Here, we aimed to investigate the quality of life (QoL) in brain tumor patients and relatives in this setting. Over twelve weeks during the first wave of the pandemic (04–07/2020), brain tumor patients and their families from two large German tertiary care centers were asked to complete weekly questionnaires for anxiety, depression, distress, and well-being. Information regarding social support and living conditions was also collected. One hundred participants (63 patients, 37 relatives) completed 729 questionnaires over the course of the study. Compared to relatives, patients showed more depressive symptoms (p < 0.001) and reduced well-being (p = 0.013). While acceptance of lockdown measures decreased over time, QoL remained stable. QoL measures between patients and their families were weakly or moderately correlated. The number of social contacts was strongly associated with QoL. Age, living conditions, ongoing therapy, employment, and physical activity were other predictors. QoL is correlated between patients and their families and heavily depends on social support factors, indicating the need to focus on the entire family and their social situation for QoL interventions during the pandemic.

Social support and health-related quality of life among type 2 DM (T2DM) patients attending a public hospital in Lagos, Nigeria

2019 ◽  
Author(s):  
Olufolake Olabode ◽  
Timothy Omoluru ◽  
Olawunmi Olagundoye ◽  
Akinyele Akinlade ◽  
Henry Akujobi ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Public Hospital ◽  
Health Related Quality ◽  
Type 2 Dm ◽  
Related Quality ◽  
Health Related

Dukungan sosial dan kualitas hidup orang dengan HIV/AIDS

2017 ◽  
Vol 33 (3) ◽  
pp. 147
Author(s):  
Mardia Mardia ◽  
Riris Andono Ahmad ◽  
Bambang Sigit Riyanto
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Antiretroviral Therapy ◽  
Social Life ◽  
Opportunistic Infections ◽  
People Living With Hiv ◽  
Hiv Diagnosis ◽  
Criteria For Diagnosis ◽  
Hiv Aids

Purpose: This study aimed to determine the quality of life among people living with HIV/AIDS based on the criteria for diagnosis and other factors.Methods: This study was conducted in the VCT clinic hospital of Dr. Moewardi. The population was HIV-positive patients with antiretroviral therapy. Data collection conducted through medical records and interview to patients. Results: Out of a total of 89 respondents, 66.29% were males and 71.91% were aged between 26-45 years. We found significant correlations for diagnosis of HIV/AIDS, opportunistic infections, time since HIV diagnosis, duration of ARV therapy, social support, modes of transport, sex, age, and marital status with the quality of life. Multivariate analysis obtained by each variable showed the strongest association with the quality of life was time since diagnosis, social support and duration of ARV therapy. Conclusion: The quality of life was better for those who have been diagnosed with HIV/AIDS ≥ 32 months, with social support, and who have been undergoing antiretroviral therapy ≥ 29 months. Improved counseling in the early days of ARV therapy is necessary to always maintain the treatment and provide support for their social life.

scholarly journals The Association of Sources of Support, Types of Support and Satisfaction with Support Received on Perceived Stress and Quality of Life of Cancer Patients

2021 ◽  
Vol 20 ◽  
pp. 153473542199490
Author(s):  
Iván Ruiz-Rodríguez ◽  
Isabel Hombrados-Mendieta ◽  
Anabel Melguizo-Garín ◽  
Mª José Martos-Méndez
Keyword(s):  
Quality Of Life ◽  
Social Support ◽  
Cancer Patients ◽  
Perceived Stress ◽  
Emotional Support ◽  
Multidimensional Analysis ◽  
Informational Support ◽  
Cancer Data ◽  
The Family

Introduction: The aim of the present study is to carry out a multidimensional analysis of the relationship of social support with quality of life and the stress perceived by cancer patients. Methods: The participants were 200 patients with cancer. Data was gathered on sociodemographic characteristics, health, quality of life, social support and perceived stress. Results: Frequency of and satisfaction with different sources and types of support are related positively with improvement of quality of life and negatively with perceived stress. The emotional support from the partner and the emotional and informational support from the family are significant predictors of quality of life. Emotional support from the family reduces patients’ perceived stress. Satisfaction with emotional support from the partner and with the informational support from friends and family increases quality of life. Satisfaction with emotional support from the family and with informational support from friends decreases patients’ perceived stress. Instrumental support and support provided by health professionals are not good predictors of quality of life and perceived stress. Satisfaction with the support received is more significantly related with quality of life and stress than the frequency with which the sources provide support. Conclusions: These results have important practical implications to improve cancer patients’ quality of life and reduce their perceived stress through social support. Designing intervention strategies to improve satisfaction with the support provided to patients by their closest networks results in a global benefit for the patient’s quality of life.

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