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Effect of Locus of Control, Self-Efficacy, and Personality Type on the Quality of Life among Caregivers of Schizophrenia Patient in Godean Sub-District, Yogyakarta Mulyanti -; Rita Benya Adriani; Setyo Sri Rahardjo
Journal of Epidemiology and Public Health Vol. 2 No. 1 (2017)
Publisher : Masters Program in Public Health

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Background: Caregivers of schizophrenia patients have an important role in fulfiling the need of patients. This task implicates on care burden and physological problems on the caregivers. The quality of life of the caregivers may have important impact on the caring process. This study aimed to examine effect of locus of control, self-efficacy and personality type on the quality of life among caregivers of schizophrenia patient.Subjects and Method: This study was analytic observational with cross-sectional design. It was carried out at Godean Sub-District, Yogyakarta, from March to April 2017. A sample of 102 caregivers of schizophrenia patient were selected for this study by fixed diseases sampling. The dependent variable wa quality of life. The independent variables were age, gender, personality type, locus of control, self-efficacy, family concern, family income. The data was collected by questionnaire, and analyzed by path analysis.Results: Higher quality of life of caregivers was affected by self-efficacy (b=0.46; SE=0.15; p<0.001), extrovert personality (b=0.21; SE=0.10; p=0.01), and higher family income (b=0.18; SE=0.05; p=0.02). Self-efficacy was affected by better family concern (b=0.22, SE=0.16; p=0.02) and extrovert personality (b=0.33; SE=0.06; p<0.001).Conclusion: Higher quality of life of caregivers was directly affected by self-efficacy, extrovert personality, and higher family income. Higher quality of life of caregivers was indirectly affected by better family concern and extrovert personality.Keywords: quality of life, locus of control, self-efficacy, schizophrenia, caregiverCorrespondence: Mulyanti. Masters Program in Public Heath, Sebelas Maret University, Surakarta. Email: kalilaputri2811@gmail.com. Mobile: +6285868823105.Journal of Epidemiology and Public Health (2017), 2(1): 20-31https://doi.org/10.26911/jepublichealth.2017.02.01.03

Biopsychosocial Determinants of Quality of Life in the Elderly at Tresna Werdha Social Nursing Home, Yogyakarta Sobma Swastika; Setyo Sri Rahardjo; RB Soemanto
Journal of Epidemiology and Public Health Vol. 2 No. 1 (2017)
Publisher : Masters Program in Public Health

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Background: Aging process is a multidimensional natural process with implicating problem involving various aspects, i.e. biological, psychological, and social aspects. Efforts are needed to prolong life expectancy and to improve the quality of life of the elderly. This study aimed to analyze biopsychosocial determinants of quality of life in the elderly at Tresna Werdha Social Nursing Home, Yogyakarta.Subjects and Method: This study was analytic observational study with cross-sectional design. It was conducted at Abiyoso and Budi Luhur units, Tresna Werdha Social Nursing Home, Yogyakarta, in April 2017. A sample of 100 elderly were selected for this study by purposive sampling and simple random sampling. The independent variables were health status, level of independence, intellectual function, depression, and social activities. The dependent variable was quality of life. The data were collected by a set of pre-tested questionnaire and analyzed by logistic regression.Results: Biopsychosocial determinants of quality of life in the elderly included health status (OR= 11.66; 95% CI= 2.18 to 62.14; p= 0.004), level of independence (OR= 4.12; 95% CI= 1.08 to 15.60; p= 0.037), intellectual function (OR= 9.75; 95% CI = 1.09 to 87.08; p= 0.036), depression (OR= 3.38; 95% CI= 1.01 to 11.24; p= 0.047), and social activities (OR= 6.02; 95% CI = 1.12 to 32.25; p= 0.047).Conclusion: Health status, level of independence, intellectual function, depression, and social activities, are biopsychosocial determinants of quality of life in the elderlyKeywords: biopsychosocial, determinant, quality of life, elderlyCorrespondence: Sobma Swastika. Masters Program in Public Health, Sebelas Maret University. Jl. Ir. Sutami 36 A, Surakarta, Central Java. Email: sobmaswastika@gmail.com. Mobile: +628113239862.Journal of Epidemiology and Public Health (2017), 2(1): 82-92https://doi.org/10.26911/jepublichealth.2017.02.01.08

Health Belief Model and PRECEDE PROCEED on the Risk Factors of Multidrug Resistant Tuberculosis in Surakarta, Central Java Vera -; Setyo Sri Rahardjo; Bhisma Murti
Journal of Epidemiology and Public Health Vol. 2 No. 3 (2017)
Publisher : Masters Program in Public Health

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Background: Tuberculosis (TB) is one of the lethal infectious diseases in the world. One of the current biggest challenges of Tuberculosis control is the widespread emergence of Multidrug Resistant Tuberculosis (MDR-TB). There are several potential risk factors of MDR-TB that can be explained by Health Belief Model and PRECEDE PROCEED model framework. This study aimed to analyzed factors associated with MDR-TB using Health Belief Model and PRECEDE PROCEED.Subjects and Method: This was an analytic observational study with case control design. The study was conducted at Dr. Moewardi Hospital and BBKPM, Surakarta, from September to November 2017. The study subjects were selected using fixed disease sampling, consisting of 76 MDR-TB patients and 228 TB patients. The dependent variable was MDR-TB. The independent variables were educational level, self-efficacy, drug-taking adherence, smoking, nutritional status, perceived of susceptibility, perceived barrier, perceived severity, perceived benefit, and drug-taking supervisor. The data were collected using questionnaire and analyzed by path analysis. Results: The risk of MDR-TB was increased by lack of drug-taking adherence (b= -1.69; 95% CI= -2.28 to -1.09; p <0.001), poor nutritional status (b= 1.32; 95% CI= 0.72 to 1.92; p<0.001), and smoking (b= 1.32; 95% CI= 0.72 to 1.92; p <0.001). Drug-taking adherence was increased by perceived susceptibility (b= 0.91; 95% CI= 0.18 to 1.63; p=0.015), perceived severity (b= 1.01; 95% CI= 0.28 to 1.74; p=0.007), perceived benefit (b= 1.69; 95% CI= 0.97 to 2.41; p<0.001), drug-taking advisor (b= 2.16; 95% CI= 1.44 to 2.88; p<0.001), self efficacy (b= 1.58; 95% CI= 0.86 to 2.31; p<0.001), and low perceived barrier (b= -1.10; 95% CI= -1.82 to -0.38; p=0.003). Conclusion: The risk of MDR-TB is increased by the lack of drug-taking adherence, poor nutritional status, and smoking.Keyword: Health belief model, PRECEDE-PROCEED, MDR-TBCorrespondence: Vera. Masters Program in Public Health, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta 57126, Central Java. Email: vera21210@gmail.comJournal of Epidemiology and Public Health (2017), 2(3): 241-254https://doi.org/10.26911/jepublichealth.2017.02.03.06

Biopsychosocial Determinants of Multi Drug Resistant Tuberculosis in Surakarta Lina Alfiyani; Setyo Sri Rahardjo; Bhisma Murti
Journal of Epidemiology and Public Health Vol. 2 No. 3 (2017)
Publisher : Masters Program in Public Health

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Background: Tuberculosis is an infectious disease that poses serious threat to population health worldwide. Tuberculosis control enterprise becomes more complicated due to increasing number of Multi Drug Resistant Tuberkulosis (MDR-TB) cases. Globally there are approximately 580,000 cases of MDR-TB, with only 125,000 cases (20%) resolved. Indonesia ranks tenth in the world by the number of MDR-TB cases after Angola, Azerbaijan, Bangladesh, Belarus, Cina, Korea, Kongo, Etiopia, and India. This study aimed to analyzed the bio-psychosocial determinants of MDR-TB in Surakarta.Subjects and Method: This was an analytic observational study with case control design. The study was conducted in Dr. Moewardi Hospital and BBKPM, Surakarta, from September to November 2017. A sample consisting of 76 MDR-TB patients and 228 non MDR-TB patients were selected for this study by fixed disease sampling. The dependent variable was MDR-TB. The independent variables were age, drug-taking adherence, depression, comorbidity, drug side-effect, drug-taking supervisor, and family income. The data were collected using a set of questionnaire and analyzed by path analysis.Results: MDR-TB was affected by lack of drug-taking adherence (b= -1.7; 95% CI= -2.23 to -1.07; p=0.001) and comorbidity (b= 1.5; 95% CI= 0.76 to 2.30; p=0.001). Drug-taking adherence was affected by depression (b= -1.7; 95% CI= -2.60 to -0.79; p=0.001), drug side effect (b= -1.5; CI 95%= -2.10 to -0.86; p=0.001), and drug-taking supervisor (b=2.5; 95% CI= 1.84 to 3.06; p=0.001). Comorbidity was affected by age (b= 0.86; 95% CI= 0.12 to 1.61; p= 0.022).Conclusion: MDR-TB is directly affected by lack of drug-taking adherence and comorbidity. MDR-TB is indirectly affected by drug-taking supervisor, depression, and drug side effect.Keyword: bio-psychosocial determinants, MDR-TBCorrespondence: Lina Alfiyani. Masters Program in Public Health, Sebelas Maret University, Jl. Ir. Sutami 36 A, Surakarta, Central Java. Email: linabbt@gmail.com.Journal of Epidemiology and Public Health (2017), 2(3): 255-266https://doi.org/10.26911/jepublichealth.2017.02.03.07

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