Ditemukan 14 dokumen yang sesuai dengan query :: Simpan CSV
Berdasarkan Riskesdas 2018 terjadi peningkatan tren dari obesitas sentral yaitu 31,0% dibandingkan tahun 2013 sebesar 26,6%. Seiring dengan meningkatnya prevalensi obesitas sentral dapat meningkatkan penyakit degeneratif antara lain diabetes mellitus. Sebelum terjadinya diabetes pada seseorang maka didahului oleh suatu keadaan yang disebut prediabetes. Prevalensi prediabetes lebih besar dibandingkan prevalensi diabetes mellitus. Menurut Data IDF 2021 orang dewasa yang dapat mengalami TGT sebesar 10,6% pada tahun 2021, dan diperkirakan akan meningkat menjadi 11,4% pada tahun 2045. Adapun yang dapat mengalami GDPT sebesar 6,2% pada tahun 2021 dan diperkirakan meningkat menjadi 6,9% pada tahun 2045. Hasil Riskesdas 2018, penduduk usia 15 tahun ke atas yang dapat mengalami TGT sebesar 30,8% sedangkan yang dapat mengalami GDPT sebesar 26,3%. Hasil Riset Kesehatan Dasar (Riskesdas) tahun 2007 menunjukkan bahwa prevalensi prediabetes hampir dua kali lipat dari prevalensi Diabetes Melitus tipe 2 yaitu sebesar 10,2%. Penelitian ini bertujuan untuk mengetahui hubungan obesitas sentral dengan kejadian prediabetes di Puskesmas Jati Ranggon Kota Bekasi tahun 2023. Penelitian ini menggunakan desain studi cross sectional dengan data sekunder Puskesmas Jati Ranggon . Jumlah sampel 1241 orang yang memenuhi kriterian inklusi dan eksklusi dalam penelitian ini. Analisis data menggunakan cox regression. Prevalensi prediabtes sebesar 18,8%. Pada model akhir penelitian ini diketahui bahwa obesitas sentral mempunyai hubungan terhadap kejadian prediabetes setelah dikontrol dengan obesitas umum dengan nilai p=<0,001 dan PR=1,87 (95% CI; 1,40- 2,50). Kata kunci: Obesitas Sentral, Prediabetes.
Based on Riskesdas 2018, there was an increasing trend in central obesity, namely 31.0% compared to 2013, which was 26.6%. Along with the increasing prevalence of central obesity, degenerative diseases, including diabetes mellitus, can increase. Before diabetes occurs in a person, it is preceded by a condition called prediabetes. The prevalence of prediabetes is greater than the prevalence of diabetes mellitus. According to IDF 2021 data, adults who can experience TGT are 10.6% in 2021, and it is estimated that this will increase to 11.4% in 2045. Meanwhile, those who can experience GDPT are 6.2% in 2021 and are estimated to increase to 6 .9% in 2045. The 2018 Riskesdas results showed that 30.8% of the population aged 15 years and over could experience TGT, while 26.3% could experience GDPT. The results of Basic Health Research (Riskesdas) in 2007 showed that the prevalence of prediabetes was almost double the prevalence of type 2 diabetes mellitus, namely 10.2%. This study aims to determine the relationship between central obesity and the incidence of prediabetes at the Jati Ranggon Community Health Center, Bekasi City in 2023. This research uses a cross-sectional study design with secondary data from the Jati Ranggon Public Health Center. The total sample was 1241 people who met the inclusion and exclusion criteria in this study. Data analysis uses cox regression. The prevalence of prediabetes was 18.8%. In the final model of this study, it is known that central obesity has a relationship with the incidence of prediabetes after controlling for general obesity with a value of p=<0.001 and PR=1.87 (95% CI; 1.40-2.50). Key words: Central Obesity, Prediabetes.
Based on RISKESDAS (Basic Health Research) in 2018, there was an increasing trend of central obesity, namely 31.0% compared to 2013, which was 26.6%. Along with the increasing prevalence of central obesity, it could increase degenerative disease, such as diabetes mellitus. Before diabetes occurred in a person, it was preceded by a condition called prediabetes. Prediabetes prevalence was bigger than diabetes mellitus prevalence. The result of the Basic Health Research in 2007 showed that prediabetes prevalence was almost twice the type-2 diabetes mellitus prevalence, which was 10.2%. Meanwhile, hypertension substantially increased the risk of morbidity from several diseases, especially cardiovascular and diabetes. This research aimed to determine the relationship between central obesity and prediabetes incident in the hypertension group in Indonesia. This research used a cross-sectional study design with secondary data from RISKESDAS 2018. The number of samples was 1678 people who suffered hypertension and met the inclusion and exclusion criteria in this research. Data analysis used cox regression. The prediabetes prevalence in hypertensive patients in Indonesia was 61.14%. In the final model of this research, it was known that central obesity had no relationship with the incidence of prediabetes with a value of p=0.081 and PR=1.121 (95% CI; 0.986-1.274)
Prediabetes is a global public health issue. Prevalence of prediabetes isincreasing worldwide. Generally, it is high among adults and as a high risk statefor DM. Obesity has essential role in pathophysiology of prediabetes. This studyaimed to explore whether both of general obesity and abdominal obesity related toprediabetes on age group 20-65 years in Bogor tengah sub-district by familyhistory of DM, sex, age, smoking, hypertension, physical activity and stress. Thisstudy used the cross sectional design study with Cox Regression to multivariableanalysis. Data for this analysis were collected during the baseline stage of cohortstudy of risk factors of non-communicable disease in 2011-2012. There were3244 respondents from Bogor tengah were taken by random sample technique..The result indicated that obesity to prediabetes adjusted by age; general obesityalone PR 1,58 (95% CI: 1,17-2,15), abdominal obesity alone PR 1,45 (95% CI;1,19-1,87), general obesity and abdominal obesity jointly PR 1,92 (95% CI;1,62-2,28). Therefore, general obesity and abdominal obesity jointly contributedmost to the increase prevalence of prediabetes. Awareness raising and screeningof prediabetes of those at high risk group by assessing obesity by BMI and waistcircumference joinlty are essential to be considered as part of efforts for haltingthe epidemic of prediabetes in community.Keyword : general obesity, abdominal obesity, prediabetes.
Coronary Heart Disease (CHD) is a leading cause of death in the cardiovascular group. Obesity could increase a person's risk of progression from prediabetes to type 2 DM and increase the risk of cardiovascular disease. Prediabetes with obesity increases the risk of CHD events based on Cardiometabolic Disease Staging (CMDS). This study was used a retrospective cohort study design using secondary data on NCD Risk Factor Cohort Study in 2011-2018. The sample was 493 obese adult respondents in population of NCD Risk Factor Cohort Study whom met this study inclusion and exclusion criteria. The results of multivariate analysis using cox regression after being controlled by age and duration of obesity found that prediabetes had HR = 0.80 (95% CI: 0.462- 1.387), p = 0.429 which means the relationship between prediabetes with CHD events in obese adult respondents was not statistically significant.
Kata kunci: Diabetes melitus tipe 2, prediabetes, stres, dewasa
Prediabetes is a golden period in delaying the occurrence of type 2 diabetes mellitus because in this period the course of the disease can still be stopped. The study aim was to knowing the impact of stress on the conversion of prediabetes to type 2 diabetes mellitus in adults. This study used retrospective cohort design. The data used are secondary data from the Cohort Study of Risk Factors for Non-Communicable Diseases in Bogor, Indonesia. Data collection in this study was carried out since 2011 until 2015 with a total population of 5890. Based on the exclusion and inclusion criteria, the total of study participants were 1059. During 5 years of follow-up, among prediabetic adults there were 169 subjects categorized as T2DM and 219 subjects categorized as stressed. Bivariate analysis shows that stress and age at baseline is a risk factor on the conversion of prediabetes to T2DM (p < 0,05). Final model on multivariate analysis, shows the hazard ratio of stress was 1.815 (95% CI: 1.307 - 2.520) with p < 0.05. This findings, expected to be used as information and motivation in an effort to make prevention and control of T2DM. Especially in individuals with prediabetes who suffer from stress because it has an impact with conversion of prediabetes to T2DM.
Key words: Type 2 diabetes mellitus, prediabetes, stress, adults
Objective: This studi aims to find the risk factors and develop risk scorefor undiagnosed diabetes and prediabetes. Method: Risk score madebased on available data from Basic Health Research 2013 in Indonesia,with criteria 18-55 years old, newly diagnosed diabetes, and not affectedby chronic /infectious diseases before.β coeff value from multinomiallogistic regression analysis results of predictive models are used todevelop risk score. The accuracy of risk score assessed with ROC(Receiver Operating Characteristic). Result: 2 prediction models are useto develop risk score. The accuracy form 7 predictors for undiagnoseddiabetes in model 1 are AUC 73.5%, sen 62.2%, spes 70.8%, PPV 12.8%,NPV 96.5%, cut off ≥22. The accuracy form 5 predictors for undiagnoseddiabetes in model 2 are AUC 72.4%, sen 68.3%, spes 64.7%, PPV 11.8%,NPV 96.7%, cut off ≥20 . Score predikction for diabetes not developed,because of poor accuray, but the result of analysis can showed prediabetesdominant risk factors. Conclusion: Indonesia may have a risk scorecalculation for predicting undiagnosed diabetes based on data from HealthResearch provided. The risk score can be used by health workers toindentified individuals with high-risk and the general public are able touse these scores.Keyword : prediabetes, undiagnosed diabetes, risk factor, score
