Detecting the depression level of patient with type 2 diabetes mellitus based on diabetes complication, and the self-management behavior in Cipto Mangunkusumo hospital

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Abstract

Depression is a mental disorder that often exists within patients with diabetes mellitus. Several studies displays that the patients with type 2 diabetes mellitus has an increased risk of minor and major depression. The symptom of diabetes complications and the self-management behavior are predicted to be the contributing factors that influence depression in the patient with type 2 diabetes mellitus. This research employs ordinal logistic regression method to determine the most prominent factor affecting depression and to detect the level of depression according to the said factors. The result of this research displays that depression occurs in 43.6% of the patient with type 2 diabetes mellitus in Cipto Mangunkusumo hospital. The factor that influences depression in the patients of Cipto Mangunkusumo hospital with type 2 diabetes mellitus is only diabetes complication, which consist of hypoglycemia, ophthalmology, and sensory neuropathy.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
EditorsRatna Yuniati, Terry Mart, Ivandini T. Anggraningrum, Djoko Triyono, Kiki A. Sugeng
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735417410
DOIs
Publication statusPublished - 22 Oct 2018
Event3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017 - Bali, Indonesia
Duration: 26 Jul 201727 Jul 2017

Publication series

NameAIP Conference Proceedings
Volume2023
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Symposium on Current Progress in Mathematics and Sciences 2017, ISCPMS 2017
CountryIndonesia
CityBali
Period26/07/1727/07/17

Keywords

  • depression
  • ordinal logistic regression
  • type 2 diabetes mellitus

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