KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI

Background: The prevalence of metabolic syndrome is high enough around the world, its prevalence appears to be increasing due to the enhancement of obesity prevalence in parallel. According to the World Health Association (WHO), the metabolic syndrome is a new pandemic of the 21st century. It is est...

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Main Authors: , Prahastya, , dr. Agus Siswanto, Sp.PD-KPsi
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2014
Subjects:
ETD
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author , Prahastya
, dr. Agus Siswanto, Sp.PD-KPsi
author_facet , Prahastya
, dr. Agus Siswanto, Sp.PD-KPsi
author_sort , Prahastya
collection UGM
description Background: The prevalence of metabolic syndrome is high enough around the world, its prevalence appears to be increasing due to the enhancement of obesity prevalence in parallel. According to the World Health Association (WHO), the metabolic syndrome is a new pandemic of the 21st century. It is estimated thatnumber of metabolic syndrome patients increased more than 50% at 20 years.6 Studies on the relationship of metabolic syndrome components and depressive symptoms result a significant association. Some studies showed that the incidence of depression will increase in patients with hypertension 15, diabetes mellitus type 27 and poor glycemic control in patients with diabetes mellitus type 2 with depression17,dyslipidemia13, and central obesity.16 Objective: To determine the role ofmetabolic syndrome components as a risk factorfor depressive symptoms. Methods :The study conducts with a case-control study design. Thesubjects compriseof 18 patients for sample and 18 patients for control.All the samplesare taken from patients treated at the department of internal medicine clinic of Dr. Sardjito hospital. The data is taken frominterviews, questionnaires and laboratory results. Continuous data arepresented in the form of mean ± standard deviation (SD) and median (with the range of the minimum and maximum values), and categorical data are presented as a percentage. Differences demographic data , clinical characteristics and bivariate analysis using Chi-square or Fisher for categorical data and unpaired t-test for continuous data if the normal distribution or the Mann-Whitney test if the distribution is not normal. Distribution or the distribution of datais tested using the Shapiro-Wilk test because the sample size <50 .Multivariate analysis using the logistic regression analysis.
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spelling oai:generic.eprints.org:1308152016-03-04T08:07:23Z https://repository.ugm.ac.id/130815/ KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI , Prahastya , dr. Agus Siswanto, Sp.PD-KPsi ETD Background: The prevalence of metabolic syndrome is high enough around the world, its prevalence appears to be increasing due to the enhancement of obesity prevalence in parallel. According to the World Health Association (WHO), the metabolic syndrome is a new pandemic of the 21st century. It is estimated thatnumber of metabolic syndrome patients increased more than 50% at 20 years.6 Studies on the relationship of metabolic syndrome components and depressive symptoms result a significant association. Some studies showed that the incidence of depression will increase in patients with hypertension 15, diabetes mellitus type 27 and poor glycemic control in patients with diabetes mellitus type 2 with depression17,dyslipidemia13, and central obesity.16 Objective: To determine the role ofmetabolic syndrome components as a risk factorfor depressive symptoms. Methods :The study conducts with a case-control study design. Thesubjects compriseof 18 patients for sample and 18 patients for control.All the samplesare taken from patients treated at the department of internal medicine clinic of Dr. Sardjito hospital. The data is taken frominterviews, questionnaires and laboratory results. Continuous data arepresented in the form of mean ± standard deviation (SD) and median (with the range of the minimum and maximum values), and categorical data are presented as a percentage. Differences demographic data , clinical characteristics and bivariate analysis using Chi-square or Fisher for categorical data and unpaired t-test for continuous data if the normal distribution or the Mann-Whitney test if the distribution is not normal. Distribution or the distribution of datais tested using the Shapiro-Wilk test because the sample size <50 .Multivariate analysis using the logistic regression analysis. [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , Prahastya and , dr. Agus Siswanto, Sp.PD-KPsi (2014) KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71248
spellingShingle ETD
, Prahastya
, dr. Agus Siswanto, Sp.PD-KPsi
KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI
title KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI
title_full KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI
title_fullStr KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI
title_full_unstemmed KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI
title_short KOMPONEN SINDROMA METABOLIK SEBAGAI FAKTOR RISIKO TERHADAP GEJALA DEPRESI
title_sort komponen sindroma metabolik sebagai faktor risiko terhadap gejala depresi
topic ETD
work_keys_str_mv AT prahastya komponensindromametaboliksebagaifaktorrisikoterhadapgejaladepresi
AT dragussiswantosppdkpsi komponensindromametaboliksebagaifaktorrisikoterhadapgejaladepresi