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All Journal Proceeding of International Conference Health, Science And Technology (ICOHETECH)
Oktaviano Rahayuningrum, Indriyati
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Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Industrial & Manufacturing Engineering Medicine & Pharmacology

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The Sociodemographic Factors Associated With Multimorbidity In Patients With Diabetes Mellitus Type 2 In District Hospital Sukoharjo Central Java. Oktaviano Rahayuningrum, Indriyati; Maryati, Warsi; Cahya Faiza, Meilia
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4140

Abstract

Background: Multiple chronic diseases known as multimorbidity are one of the global public health challenges. Multimorbidity among older adults was more than 50% in different countries. This study aimed to analyze the sociodemographic factors associated with multimorbidity in patients with diabetes mellitus type 2 in District Hospital Sukoharjo Central Java. Methods: This study used a cross-sectional approach utilizing medical record data of diabetes mellitus patients. Consecutive sampling was conducted, and 75 samples were included. A descriptive analysis was performed by reporting percentages. Bivariate analysis was conducted using Chi-square. Logistic regression with a 5% significance level was used to analyze the multivariable. Results: The prevalence of multimorbidity was 33 (44%). The sociodemographic factors associated with multimorbidity were age (p=0.039), gender (p=0.032), education (p=0.028), status of employment (p=0.020), and length of stay (p=0.011). Logistic regression showed an association between length of stay (OR=3.93;95%CI=1.29-11,92; p=0.016) and multimorbidity. Conclusion: Based on these findings, the sociodemographic factors associated with multimorbidity in patients with diabetes mellitus type 2 were: age, gender, education, status of employment, and length of stay. The programs to prevent multimorbidity should be formulated. Early detection and health promotion can be managed to decrease multimorbidity in patients with diabetes mellitus type 2.
The Sociodemographic Factors Associated With Multimorbidity In Patients With Diabetes Mellitus Type 2 In District Hospital Sukoharjo Central Java. Oktaviano Rahayuningrum, Indriyati; Maryati, Warsi; Cahya Faiza, Meilia
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4140

Abstract

Background: Multiple chronic diseases known as multimorbidity are one of the global public health challenges. Multimorbidity among older adults was more than 50% in different countries. This study aimed to analyze the sociodemographic factors associated with multimorbidity in patients with diabetes mellitus type 2 in District Hospital Sukoharjo Central Java. Methods: This study used a cross-sectional approach utilizing medical record data of diabetes mellitus patients. Consecutive sampling was conducted, and 75 samples were included. A descriptive analysis was performed by reporting percentages. Bivariate analysis was conducted using Chi-square. Logistic regression with a 5% significance level was used to analyze the multivariable. Results: The prevalence of multimorbidity was 33 (44%). The sociodemographic factors associated with multimorbidity were age (p=0.039), gender (p=0.032), education (p=0.028), status of employment (p=0.020), and length of stay (p=0.011). Logistic regression showed an association between length of stay (OR=3.93;95%CI=1.29-11,92; p=0.016) and multimorbidity. Conclusion: Based on these findings, the sociodemographic factors associated with multimorbidity in patients with diabetes mellitus type 2 were: age, gender, education, status of employment, and length of stay. The programs to prevent multimorbidity should be formulated. Early detection and health promotion can be managed to decrease multimorbidity in patients with diabetes mellitus type 2.
Co-Authors Cahya Faiza, Meilia Maryati, Warsi