Background: Obesity and central obesity have become serious public health problems in developing countries such as Indonesia. Although 10 years have passed since the largest national health survey was conducted in 2007, no further analysis and publication concerning obesity and central obesity in Indonesia have been conducted based on the survey. The aim of this study is to determine the prevalence of obesity and central obesity, and its association with sociodemographic characteristics and comorbidities in Indonesia.Methods: A cross-sectional study was conducted based on the National Basic Health Survey 2007 using total sampling method from 33 provinces. Obesity is defined as body mass index ≥25 according to the Asia-Pacific standard for obesity. Central obesity is defined as waist circumference >90 cm for men and > 80 cm for women according to the Asia-Pacific standard for central obesity.Results: The prevalence of obesity and central obesity in the Indonesian adult population are 23.1% and 28%, respectively. Both rates are higher in females than in males. Obesity and central obesity are associated with the risk of diabetes and hypertension.Conclusion: Prevalence of obesity and central obesity is high in the Indonesian adult population. Interventional programs are important to promote awareness of obesity and healthy lifestyle changes in the community.

Background: Chronic complications of diabetes mellitus have a significant role in increasing morbidity, mortality, disability, and health cost. In the outpatient setting, the availability of data regarding to the chronic complications of type 2 diabetes is useful for evaluation of prevention, education, and patient’s treatment. This study aimed to describe the characteristic of type 2 diabetes chronic complications in outpatient diabetes clinic.Methods: A cross-sectional study was done using 155 patients in Outpatient Diabetes Clinic of Cipto Mangunkusumo Hospital (RSCM), Jakarta in 2010. Secondary data were used from medical record based on history taking, physical examination, diabetic foot assessment, laboratory, neurologic, cardiology, opthalmology, ankle brachial index, and electrography of the patients. Characteristic profiles of the subjects, prevalence of the chronic complications, and its association with diabetes risk factors, such as glycemic control using HbA1c, fasting blood glucose, duration of diabetes, and LDL cholesterol were analyzed using chi square test.Results: Among 155 subjects participated in the study, most of them were women (59%) and elderly (46%). The prevalence of diabetes chronic complications was 69% from all subjects. These chronic complications included microangiopathy, macroangiopathy and mixed complications, with prevalence of 56%, 7% and 27% respectively. Microangiopathy included nephropathy (2%), retinopathy (7%), neuropathy (38%) and mixed complications (53%). Macroangiopathy included coronary heart disease (46%), peripheral arterial disease (19%), stroke (18%), and mixed complication (17%). From the analysis, we found significant association between duration of diabetes and diabetic neuropathy (p = 0.003).Conclusion: Prevalence of diabetes chronic complications in Outpatient Diabetes Clinic of Cipto Mangunkusumo Hospital, mainly dominated by microvascular-related complications including nephropathy, retinopathy, neuropathy and mixed complications. There was statistical significance between diabetes duration and diabetic neuropathy.

Background: Diabetic foot ulcer (DFU) is one of the most terrifying diabetic complications for patients, due to the high mortality rate and risk for amputation. During the COVID-19 pandemic, many diabetic patients limited their visits to the hospital, resulting in delays for treatment especially in emergency cases. Objective: This study aimed to compare the characteristics of patients with DFU pre- and during COVID-19 pandemic period. Methods: This study was a retrospective cohort study using foot registry data. We compared our patients’ characteristics pre-COVID-19 pandemic period (1 March 2019-28 February 2020) and during COVID-19 pandemic period (1 March 2020-28 February 2021). Results: Cohorts of 84 and 71 patients with DFU pre- and during COVID-19 pandemic period, respectively, were included in this study. High infection grade (66.7% vs 83.1%, P = .032), osteomyelitis event (72.6% vs 87.3%, P = .04), leukocyte count (15 565.0/μL vs 20 280.0/μL, P = .002), neutrophil-to-lymphocyte ratio (7.7 vs 12.1, P = .008), waiting time-to-surgery (39.0 h vs 78.5 h, P = .034), and number of major amputation (20.2% vs 39.4%, P = .014) were significantly higher during the COVID-19 pandemic period. Conclusion: During the COVID-19 pandemic, patients with DFU had more severe infection, higher proportion of osteomyelitis, longer waiting time for getting surgical intervention, and higher incidence of major amputation.

BackgroundThe prevalence of diabetes mellitus is increasing in Indonesia due to population growth, urbanization, and lifestyle. Diabetes mellitus (DM) is the leading cause of chronic kidney disease that escalates mortality rate, but not all DM develop into chronic kidney disease.AimsTo estimate the prevalence of kidney dysfunction (KD) in DM and the associated dominant risk factors among productive age Indonesian based on the National Health Survey (Riskesdas) 2013.MethodsThe statistical data consisted of 15,791 females and 10,349 males, aged 20 to 54, who lived in rural and urban areas. The data was obtained from National Institute of Health Research and Development (NIHRD), Ministry of Health. Data were collected from 33 provinces using cross sectional method. The variables data analyzed were sociodemographic, lifestyle, anthropometric, blood pressure, blood lipid, blood glucose, and creatinine. Kidney dysfunction was defined according to Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Multivariable logistic regression was used to analyze the dominant associated risk factors.ResultsThe prevalence of KD in DM was 4% (CI 95% 3.1–5.1) and only 0.6% had been diagnosed. Many associated risk factors could affect DM leading to KD such as age, sex, rural, economic status, sugary food/drinks, salty food, coffee, hypertension, hypercholesterolemia, low HDL, high LDL, and hypertriglyceridemia. The dominant associated risk factors were age, sex, economic status, sugary food/drinks, and low HDL.ConclusionThe prevalence of KD in DM among productive age Indonesian was 4% and only 0.6% had been diagnosed. Early detection of identification of KD in DM is needed in order to slow progression and complications. The dominant associated risk factors of KD in DM were age, sex, economic status, sugary food/drinks, and low HDL. Controlling of risk factors in DM should be done in order to prevent diabetic kidney disease.