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

Lailatul Rohmah, Setyo Sri Rahardjo, Bhisma Murti

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: +6289691804847.

Journal of Epidemiology and Public Health (2020), 05(03): 258-269
https://doi.org/10.26911/jepublichealth.2020.05.03.01

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