scholarly journals Biopsychosocial Determinants of the Quality of Life of Patients With Breast Cancer: A Path Analysis Evidence from Surakarta, Central Java

2018 ◽  
Author(s):  
Sri Nuryati ◽  
◽  
Ambar Mudigdo ◽  
Bhisma Murti ◽  
◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Path Analysis ◽  
Central Java ◽  
Biopsychosocial Determinants

scholarly journals The Biopsychosocial Determinants of Quality of Life in Patients with Breast Cancer: A Multilevel Logistic Regression Evidence from Surakarta, Central Java

2020 ◽  
Author(s):  
Rizka Amalia Dewi ◽  
◽  
Ambar Mudigdo ◽  
Eti Poncorini Pamungkasari ◽  
◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Logistic Regression ◽  
Marital Status ◽  
Coping Strategy ◽  
Late Stage ◽  
Family Income ◽  
Central Java ◽  
Biopsychosocial Determinants

ABSTRACT Background: A cancer diagnosis and its treatment can be expensive. So that cancer patients may suffer from mental and physical problems. Quality of life (QOL) is a major concern of patients with terminal cancer. This study aimed to investigate the biopsychosocial determinants of quality of life in patients with breast cancer. Subjects and Method: This was a cross sectional study. A sample of 200 patients with breast cancer was selected by a simple random sampling. The dependent variable was quality of life. The independent variables were age, marital status, stage of cancer, chemotherapy, length of disease, coping strategy, family income, and modal social. Quality of life was measured by WHO-QOL-BREF. The other variables were collected by a questionnaire. The data were analyzed by a multiple logistic regression run on Stata 13. Results: Strong modal social (b= 2.52; 95% CI= 0.82 to 4.22; p= 0.003), complete chemotherapy (b= 1.65; 95% CI= -0.05 to 3.35; p= 0.057), length of diagnosis ≥24 months (b= 2.39; 95% CI= 0.69 to 4.22; p= 0.006), family income ≥Rp 5,600,000 (b= 2.94; 95% CI= 1.24 to 4.64; p= 0.001), and good coping strategy (b= 1.70; 95% CI= 0.11 to 3.29; p= 0.036) increased quality of life of patients with breast cancer. Late stage of cancer (b= -2.09; 95% CI= -3.78 to -0.40; p= 0.015) and depression (b= -2.48; 95% CI= -4.26 to -0.69; p= 0.001) decreased quality of life of patients with breast cancer. Age decreased quality of life (b= -0.87; 95% CI= -2.94 to 2.77; p= 0.952), but it was statistically non-significant. Marital status increased quality of life (b= 1.32; 95% CI= -0.35 to 2.99; p= 0.123), but it was statistically non-significant. Conclusion: Strong modal social, complete chemotherapy, length of diagnosis ≥24 months, family income ≥Rp 5,600,000, and good coping strategy increase quality of life of patients with breast cancer. Late stage of cancer and depression decrease quality of life of patients with breast cancer. Age decreases quality of life, but it is statistically non-significant. Marital status increased quality of life, but it is statistically non-significant. Keywords: quality of life, breast cancer Correspondence: Rizka Amalia Dewi. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta, Central Java 57126, Indonesia. Email: [email protected]. Mobile: +6282313121768. DOI: https://doi.org/10.26911/the7thicph.01.47

scholarly journals Path Analysis on the Biopsychosocial Factors Affecting the Quality of Life in Patients with Breast Cancer

2020 ◽  
Vol 5 (1) ◽  
pp. 119-131
Author(s):  
Rizka Amalia Dewi ◽  
◽  
Ambar Mudigdo ◽  
Eti Poncorini Pamungkasari ◽  
◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Path Analysis ◽  
Factors Affecting

scholarly journals Path Analysis on the Biopsychosocial Determinants of Quality of Life among Children with Cerebral Palsy

2018 ◽  
Vol 03 (04) ◽  
pp. 301-307
Author(s):  
Alinda Nur Ramadhani ◽  
◽  
Rita Benya Adriani ◽  
Harsono Salimo ◽  
◽  
...  
Keyword(s):  
Quality Of Life ◽  
Cerebral Palsy ◽  
Path Analysis ◽  
Children With Cerebral Palsy ◽  
Biopsychosocial Determinants

Effect of The Disability Integrating Health Post on The Quality of Life of Children with Cerebral Palsy: A Path Analysis Evidence from Sukoharjo, Central Java

2020 ◽  
Author(s):  
Retno Dwi Rohaniyati ◽  
◽  
Harsono Salimo ◽  
Eti Poncorini Pamungkasari ◽  
◽  
...  
Keyword(s):  
Quality Of Life ◽  
Quality Of Service ◽  
Cerebral Palsy ◽  
Path Analysis ◽  
Motor Function ◽  
Health Post ◽  
Gross Motor ◽  
Central Java ◽  
Children With Cerebral Palsy

ABSTRACT Background: Children with cerebral palsy (CP) often represent a subgroup within children with special healthcare needs (CSHCN), children with medical complexity, and/or children with disabilities. Poor disability integrating health post access may leads to healthcare disparities and poor quality of life in children with CP. This study aimed to investigate effect of the disability integrating health post on the quality of life of children with cerebral palsy using a path analysis model. Subjects and Method: A cross-sectional study was carried out at 12 inclusion studio in Sukoharjo, Central Java, Indonesia, in October 2019. A sample of 100 children with cerebral palsy aged 4-18 years was selected by fixed disease sampling. The dependent variable was quality of life. The independent variables were gross motor function, parental cope, frequency of visit, and quality of service. Quality of life was measured by the cerebral palsy-quality of life (CP-QoL) questionnaire version parental proxy. Gross motor was measured by gross motor function classification system (GMFCS). The other variables were collected by questionnaire. The data were analyzed by path analysis run on Stata 13. Results: Good quality of life in children with cerebral palsy was directly decreased by high GMFCS score (b= -49.66; 95% CI= -69.58 to -29.75; p= 0.001). Good quality of life was directly increased by strong parental cope (b= 32.51; 95% CI= 9.45 to 55.58; p= 0.006) and good quality of service (b= 33.70; 95% CI= 10.98 to 56.42; p= 0.004). Quality of life was indirectly affected by frequency of visit through parental cope and quality of service. Conclusion: Good quality of life in children with cerebral palsy is directly decreased by high GMFCS score. Good quality of life is directly increased by strong parental cope and good quality of service. Quality of life is indirectly affected by frequency of visit through parental cope and quality of service. Keywords: quality of life, cerebral palsy, disability Correspondence: Retno Dwi Rohaniyati, Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: [email protected]. Mobile: 081546268418. DOI: https://doi.org/10.26911/the7thicph.03.98

Biopsychosocial Determinants of Quality of Life in Post Stroke Patients: A Multiple Logistic Regression Analysis

2020 ◽  
Author(s):  
Maki Zamzam ◽  
◽  
Didik Gunawan Tamtomo ◽  
Vitri Widyaningsih ◽  
◽  
...  
Keyword(s):  
Quality Of Life ◽  
Family Support ◽  
Functional Disorder ◽  
Multiple Logistic Regression ◽  
Stroke Patients ◽  
Post Stroke ◽  
Central Java ◽  
Co Morbidity ◽  
Biopsychosocial Determinants

ABSTRACT Background: The impact of stroke on health may be disastrous. Stroke can affect multiple domains of quality of life. The purpose of this study was to examine biopsychosocial determinants of quality of life in post stroke patients. Subjects and Method: A cross sectional study was conducted at Surakarta hospital, Central Java, from September to October 2019. A sample of 200 post stroke patients was selected for this study purposively. The dependent variable was quality of life. The independent variables were age, gender, empoyment, income, family income, marital status, history of stroke attack, co-morbidity, duration of illness, functional disorder, depression, and family support. The data were collected by medical record and questionnaire. The data were analyzed by a multiple logistic regression. Results: Quality of life of post stroke patients increased with married (b= 1.79; 95% CI= 0.24 to 3.35; p= 0.024), employed (b= 1.93; 95% CI= 0.13 to 3.72; p= 0.035), mild fuctional disorder (b=1.68; 95% CI= 0.11 to 3.25; p= 0.036), and strong family support (b= 2.17; 95% CI= 0.46 to 3.88; p= 0.013). Quality of life of post stroke patients decreased with age ≥60 years (b= -1.99; 95% CI= -3.80 to -0.17; p= 0.032), female (b= -1.74; 95% CI= -3.28 to -0.19; p= 0.027), stroke attack >1 time (b= -1.87; 95% CI= -3.59 to -0.15; p= 0.033), length of illness ≥6 months (b= -2.12; 95% CI= -3.87 to -0.36; p= 0.018), co-morbidity (b= -1.96; 95% CI= -3.67 to -0.24; p= 0.025), and depression (b= -1.40; 95% CI= -2.97 to 0.16; p= 0.078). Conclusion: Quality of life of post stroke patients increases with married, employed, mild fuctional disorder, and strong family support. Quality of life of post stroke patients decreases with age ≥60 years, female, stroke attack >1 time, length of illness ≥6 months, co-morbidity, and depression. Keywords: stroke, quality of life, depression, functional disorder Correspondence: Maki Zamzam. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: [email protected]. Mobile: +6281251543935 DOI: https://doi.org/10.26911/the7thicph.01.35

scholarly journals Path Analysis on the Biopsychosocial Factors Influencing the Quality of Life of Elderly in Surakarta Central Java

2020 ◽  
Author(s):  
Dwi Tour Kumalasari ◽  
◽  
Bhisma Murti ◽  
Vitri Widyaningsih ◽  
◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Social Capital ◽  
Locus Of Control ◽  
Path Analysis ◽  
Marital Status ◽  
Peer Support ◽  
Internal Locus Of Control ◽  
Central Java

ABSTRACT Background: Health-related quality of life (HRQoL) is a commonly used measure of health outcome. It reflects several dimensions of health, including physical, psychological, social, cognitive function, as well as general well-being, including in elderly population. The association between social capital and HRQoL in elderly has been rarely studied in Indonesia. The purpose of this study was to investigate the biopsychosocial factors influencing the quality of life of elderly using path analysis. Subjects and Method: A cross sectional study was conducted in Surakarta, Central Java, in December 2019. A sample of 200 elderly was selected by simple random sampling. The dependent variable was quality of life. The independent variables were education, income, marital status, body mass index (BMI), physical activity, locus of control, family support, peer support, social capital. The data were collected by questionnaire and analyzed by path analysis run on Stata 13. Results: Quality of life in elderly was directly increased by high physical activity (b= 2.01; 95% CI= 0.55 to 3.45; p= 0.007), education ≥Elementary school (b= 2.38; 95% CI= 0.79 to 3.97; p= 0.003), BMI 18.5 to 25 (b= 3.45; 95% CI= 1.60 to 5.30; p<0.001), income ≥Rp 1,800,000 (b= 2.96; 95% CI= 1.33 to 4.59; p<0.001), strong social capital (b= 2.01; 95% CI= 0.56 to 3.44; p= 0.006), married (b= 2.15; 95% CI= 0.63 to 3.67; p= 0.005), and internal locus of control (b= 2.29; 95% CI= 0.69 to 3.90; p= 0.005). Quality of life in elderly was directly increased by physical activity, education, peer support, social capital, and marital status. Conclusion: Quality of life in elderly is directly increased by high physical activity, education ≥Elementary school, BMI 18.5 to 25, income ≥Rp 1,800,000, strong social capital, married, and internal locus of control. Quality of life in elderly is directly increased by physical activity, education, peer support, social capital, and marital status. Keywords: quality of life, biopsychosocial, path analysis, elderly Correspondence: Dwi Tour Kumalasari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: [email protected]. Mobile: +6281216417536. DOI: https://doi.org/10.26911/the7thicph.01.41

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