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

Path analysis from physical activity to quality of life among dementia patients: A dual‐path mediating model

2019 ◽  
Vol 76 (2) ◽  
pp. 546-554
Author(s):  
Xiuxiu Huang ◽  
Bei Li ◽  
Fang Yu ◽  
Jiong Zhou ◽  
Qiaoqin Wan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Path Analysis ◽  
Dementia Patients

Biopsychosocial and Economic Factors Affecting the Quality of Life in Patients with Type II Diabetes Mellitus

2020 ◽  
Author(s):  
Rahsunji Intan Nurvitasari ◽  
◽  
Didik Gunawan Tamtomo ◽  
Yulia Lanti Retno Dewi ◽  
◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Diabetes Mellitus ◽  
Family Support ◽  
Economic Factors ◽  
Independent Variables ◽  
Central Java ◽  
Type 2 Dm

Background: Type 2 diabetes mellitus (DM) is a chronic metabolic disease that has a major impact on the quality of life (QoL). The type 2 DM patients to know their capacity to manage the disease and maintain their health and well-being. This study aims to determine biological, psychological, social and economic factors on the quality of life in type 2 DM patients. Subjects and Method: A cross-sectional study was conducted in Surakarta, Central Java. A sample of 100 type 2 DM patients was selected by purposive random sampling. The dependent variable was quality of life. The independent variables were quality of life (QoL). The independent variables were body mass index (BMI), HbA1C, occupation, education, physical activity, and family support. The data were obtained from medical record and questionnaire. The data were analyzed by a multiple logistic regression. Results: Quality of life in type 2 DM patients increased with high physical activity (OR= 6.33; 95% CI= 1.92 to 20.87; p= 0.002), strong family support (OR= 3.94; 95% CI= 1.21 to 12.78; p= 0.023), employed (OR= 4.17; 95% CI= 1.15 to 15.19; p= 0.030), and high education (OR= 4.37; 95% CI= 1.49 to 12.76; p= 0.007). Quality of life in type 2 DM patients decreased with obesity (OR= 0.37; 95% CI= 0.12 to 1.20; p= 0.099) and HbA1c (OR= 0.16; 95%= 0.05 to 0.53; p= 0.003). Conclusion: Quality of life in type 2 DM patients increases with high physical activity, strong family support, employed, and high education. Quality of life in type 2 DM patients decreases with obesity and HbA1c. Keywords: quality of life, type 2 diabetes melitus, biopsychosocial Correspondence: Rahsunji Intan Nurvitasari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: [email protected]. Mobile: +6281232599161.

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