Prevalence and clinical profile of diabetes mellitus in productive aged urban Indonesians (original) (raw)
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Analysis of Diabetes Mellitus Determinants in Indonesia
Background: diabetes mellitus is a silent-killer. Its prevalence and impact on health expenses increase from year to year. This study aims to investigate the characteristics and the risk factors that affect diabetes mellitus in Indonesia. Methods: this is a cross sectional study. Data were obtained from the Basic Health Research (RISKESDAS) in 2013. The samples were individuals aged ≥15 years, whose fasting blood glucose and 2 hours blood glucose after the imposition have been measured. 38.052 individuals were selected for this study. The variables of age, sex, marital status, level of education, employment status, living area, regional status, hypertension, obesity, smoking habit, and dyslipidemia are analyzed as risk factors for diabetes mellitus. Bivariate analysis was using chi-square test with significance level of p<0.05 and confidence interval (CI) of 95%, and multivariate analysis using multiple logistic regression test. Results: our study showed that 13% have diabetes mellitus in 2013. Factors affecting diabetes mellitus were age>55 years (OR=5.10; 95%CI 4.42 to 5.89; p<0.001), female (OR=1.37; 95%CI 1.26 to 1.49; p<0.001), rural (OR=1.16; 95%CI 1.08 to 1.26; p<0.001), married (OR=1.31; 95%CI 1.07 to 1.58; p<0.05), unemployed (OR=1.14; 96%CI 1.05 to 1.23; p<0.05), obesity (OR=1.46; 95%CI 1.35 to 1.58; p<0.001), hypertension (OR=1.68; 95%CI 1.55 to 1.81; p<0.001) and dyslipidemia (OR=1.53; 95%CI 1.39- 1.68; P<0.001). Conclusion: as many as 13% of individuals have diabetes mellitus in 2013. Age, gender, living area, employment status, obesity, hypertension, and dyslipidemia are the contributing factors to diabetes mellitus. Keywords: diabetes mellitus, determinant factors, blood glucose
Diabetes: Prevalence, Incidence and Risk Factor
INTERNATIONAL JOURNAL OF RESEARCH, 2018
Diabetes, already one of the most prevalent chronic diseases, is affecting increasing numbers worldwide. This increase cannot be attributed to a single cause, but rather, to a combination of demographic, lifestyle and clinical factors. Reductions in physical activity and greater caloric intake have contributed to a substantial rise in the prevalence for diabetes. Changes in diagnosis criteria could also influence the number of cases that are identified. Finally, growing public and physician awareness could increase testing, and result in detection of more cases. The main objective of this study was to examine the prevalence and incidence of diabetes among patients aged 31 or older and risk factors associated with developing the condition. Our study showed 46% prevalence of diabetes i.e diabetic population was 341 among 732 total population. Diabetes is no longer only disease of the elderly but is one of the major causes of morbidity and mortality affecting youth and middle aged people.
2020
Type 2 diabetes mellitus (T2DM) is the sixth highest cause of death in Indonesia. Thus, it must be prevented and overcome with appropriate management. This study aimed to determine the contribution of physiological factors and physical activities to the incidence of T2DM. The study used a cohort retrospective design using secondary data from the Indonesian Family Life Survey (IFLS) from 2007 to 2014, which included a sample of 14,517 people involved for more than 20 years. Data analysis was performed using multiple logistic regressions. The results revealed a 3.8% incidence of T2DM in Indonesia. Record of hypertension risk increased the likelihood of T2DM by 1.7 times compared to without hypertension. A normal body mass index (BMI) increased the risk by 2.2 times, a higher BMI at 5.5 times, and BMI whose risk obesity was 7 times had greater likelihood of having T2DM compared with respondents with a thin BMI. After controlling for sex, age, marital status, record of parents’ DM, resi...
DIABETES MELLITUS AND ITS RISK FACTORS
EPRA International Journal of Multidisciplinary Research (IJMR), 2018
Prevalence of diabetes mellitus has raised faster in low and middle income countries than in high income country. Diabetes Mellitus is a cardiovascular metabolic condition with characteristics of chronic high blood glucose levels and a high risk of difficulties like, eyes damage, kidneys damage, nervous system damage, hearing deficiency, Alzheimer and cardio vascular diseases. There were 1.16 million cases of diabetes in Sri Lanka in 2016. There are numerous risk factors of diabetes mellitus. But the majority of the humankind is unaware of the factors of the prevalence of this. Therefore the main purpose of this study was to determine the factors effecting for diabetes mellitus. The data were obtained from a cross sectional survey conducted through a structured questionnaire using 100 participants chose from cluster sampling and simple random sampling. Descriptive statistics including mean, standard deviation, frequency, proportion, and percentage and inferential statistics comprising χ2 test, factor analysis, and discriminant analysis were used to analyze the data using SPSS and Excel. Prevalence of diabetes mellitus in females was higher than in males. Higher educated population had a less prevalence of the disease. Diabetes mellitus showed a positive relationship with age, less physical activity, and BMI value. Among these diabetic patientss, 56.9% had family history of diabetes; and 47.10% were performance sedentary work. There was a significant association between diabetic community and BMI χ2 (3) = 31.041, p = .000. Therefore, measures must be taken to implement health policies to aware the society about the diabetes mellitus
Medical Journal of Indonesia, 2010
Abstrak Tujuan: Mengumpulkan informasi mengenai penanganan dan komplikasi diabetes, serta kesadaran pengendalian diri sendiri penderita diabetes di Indonesia. Studi ini juga mengevaluasi perspektif dokter, aspek psikologis, dan kualitas hidup pasien. Metode: Studi non-intervensi, potong lintang, merekrut 1832 pasien dari pusat kesehatan sekunder dan tersier di Indonesia. Data mengenai demografi , riwayat medis, faktor resiko, dan laporan pemeriksaan klinis termasuk laboratorium dikumpulkan dari rekam medis pasien. Sampel darah dikumpulkan untuk pengukuran HbA1c yang tersentralisasi. Hasil: Di antara 1832 pasien, 1785 individu memenuhi syarat untuk dianalisis. Rata-rata usia adalah 58,9+9,6 tahun. Lamanya menderita diabetes 8,5+7,0 tahun. Mayoritas pasien (97,5%) menderita diabetes tipe 2.67,9% pasien memiliki kontrol diabetes yang buruk (A1c: 8,1 ± 2,0%). 47,2% pasien memiliki kadar Glukosa Plasma Puasa >130 mg/dL (161,6±14,6 mg/dL). Dislipidemia dilaporkan pada 60% pasien (834/1390) dan 74% (617/834) di antaranya mendapatkan obat hipolipidemik. Neuropati merupakan komplikasi paling umum (67.2%); komplikasi diabetes lainnya antara lain: katarak: 14.5% Retinopati diabetik non-proliferatif: 8.3%, kreatinin serum>2 mg/dl: 3.6%, ulkus yang sudah sembuh: 3.8%, angina pectoris 9.9% dan stroke 5.6%. Sekitar 81.3% pasien menerima terapi obat hipoglikemik oral (OHO) (± insulin), 37,7% pasien menerima terapi insulin (±OHO). Penggunaan biguanide diikuti oleh sulfonylurea. Mayoritas pasien menggunakan insulin manusia 73,2%, regimen premiks 58,5%, insulin analog 24,9%. Mayoritas respon indeks kesehatan WHO-5 jatuh dalam teritori positif. Kesimpulan: Kontrol glikemik yang buruk pada mayoritas pasien diabetes perlu diperhatikan. Terdapat kebutuhan untuk penyesuaian terapi dari sebagian besar pasien menuju terapi farmakologis yang lebih intensif dan pendekatan multidisipliner harus digunakan. Temuan studi ini perlu dikomunikasikan kepada pembuat kebijakan dan dokter untuk membantu mereka memberikan perawatan kesehatan dan fasilitas yang baik.
The Global Burden of Diabetes: Prevalence, Prevention and Recommendations
Revista de la Facultad de Medicina Humana, 2019
La carga mundial de diabetes, una de las principales causas de muerte, morbilidad y gastos en atención médica, ahora representa una de las mayores amenazas para la salud y el desarrollo mundiales. Los principales determinantes biológicos y de comportamiento de la diabetes son las dietas de azúcares y grasas procesadas, los bajos niveles de actividad física, el sobrepeso y la obesidad (Birn, Pillay, y Holtz, 2017). Como una de las cuatro principales enfermedades no transmisibles (ENT), Diabetes Mellitus (DM) ha atraído una gran atención por parte de las autoridades sanitarias mundiales. De hecho, la Organización Mundial de la Salud ha desarrollado una estrategia para abordar las crecientes tasas de DM, incluida la prevención, la gestión, el acceso a medicamentos esenciales y la vigilancia. Un enfoque integral que integre la política de atención médica, la promoción de la salud y la educación para la salud es necesario para la prevención y posterior tratamiento de la diabetes en todo el mundo.
Acta medica Indonesiana, 2017
BACKGROUND diabetes mellitus is a silent-killer. Its prevalence and impact on health expenses increase from year to year. This study aims to investigate the characteristics and the risk factors that affect diabetes mellitus in Indonesia. METHODS this is a cross sectional study. Data were obtained from the Basic Health Research (RISKESDAS) in 2013. The samples were individuals aged ≥15 years, whose fasting blood glucose and 2 hours blood glucose after the imposition have been measured. 38.052 individuals were selected for this study. The variables of age, sex, marital status, level of education, employment status, living area, regional status, hypertension, obesity, smoking habit, and dyslipidemia are analyzed as risk factors for diabetes mellitus. Bivariate analysis was using chi-square test with significance level of p<0.05 and confidence interval (CI) of 95%, and multivariate analysis using multiple logistic regression test. RESULTS our study showed that 13% have diabetes mell...
Global Burden of Diabetes Mellitus
Handbook of Global Health
Diabetes mellitus is a chronic noncommunicable disease contributing to a major share of premature morbidity and mortality in age 30-70. Globally, the estimated number of people living with diabetes has risen from 108 million in 1980 to 476 million in 2017 with the prevalence of diabetes among adults over 18 years of age rising from 4.7% in 1980 to 8.5% in 2014. Worldwide, 1.4 million deaths and 2.5% of total deaths are attributed to diabetes in 2017. The rapid rise in the prevalence of diabetes in low-and middle-income countries suggests the changing course of the diabetes epidemiology that it is a more widespread problem across the rich and poor nations as well as among the rich and poor of the nations. Among WHO regions, the Eastern Mediterranean, part of Asia, and Africa have higher prevalence of diabetes as compared to other countries, while Southeast Asia and Western Pacific regions have the largest numbers of people with diabetes. Contributed by the complex interaction between genetic, behavioral, and environmental factors, globally, the prevalence of diabetes accentuates at the age of 45-49 with one in ten older adults diagnosed with diabetes with the peak prevalence rate of 24% in the oldest old age of 85-89. As a hormonal and metabolic chronic condition, diabetes is a main driver of several other comorbid health outcomes such as cardiovascular diseases, mental health disorders, kidney diseases, eye-related disorders, neuropathy, rheumatoid arthritis, bone-related diseases, etc. The global burden of diabetes not only poses serious challenges to public health but tend to have an overwhelming effect on the global development through substantial social and economic loss. Therefore, preventing and controlling diabetes with multisectoral efforts and effective interventions are very important. Early screening and adequate awareness and health-care intervention are essential to reduce the global burden of diabetes.
Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections
Diabetes Care, 1998
OBJECTIVE -To estimate the prevalence of diabetes and the number of people with diabetes who are ^20 years of age in all countries of the world for three points in time, i.e., the years 1995, 2000, and 2025, and to calculate additional parameters, such as sex ratio, urbanrural ratio, and the age structure of the diabetic population.