Social Capital and Factors Related to Stroke Risk in Ponorogo Hospital: Structural Equation Model Application

Abstract

Background: Stroke is a non-communicable disease that ranks the second leading cause of death in the world. As many as 17 million patients who suffered a stroke, 6.5 million died from a stroke. This disease cannot be cured but can be controlled. The increasing number of cases of non-communicable diseases is related to risk factors. This study aimed to analyze the effect of social capital and factors related to stroke risk. Subjects and Method: A case-control study was conducted at the Ponorogo District Hospital, East Java, from February to March 2020. A sample of 200 patients was taken through fixed disease sampling. The dependent variable was a stroke. The independent variables were social capital, hypertension, residence, workplace, stress, income, dietary habit, education, physical activity. The data was collected using a questionnaire. Data were analyzed using the Structural Equation Model run on Stata 13. Results: The increase in stroke was directly affected by hypertension (b= 2.90; 95% CI= 2.09 to 3.71; p <0.001). The risk of stroke was affected indirectly by social capital, hypertension, workplace, stress, income, dietary habit, education, physical activity. Trust, bonding, bridging, and linking indirectly affected stroke risk on the contribution of social capital measurement. Conclusion: Increased stroke is directly affected by hypertension. Stroke is indirectly affected by social capital, hypertension, workplace, stress, income, dietary habits, education, and physical activity. Trust, bonding, bridging, and linking indirectly affect stroke risk on the contribution of social capital measurement. Keywords:stroke, social capital, risk factors Correspondence: LailatulRohmah. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: rohmalailatul156@gmail.com. Mobile: +62896- 91804847.