Ditemukan 6 dokumen yang sesuai dengan query :: Simpan CSV
Background: Chronic kidney disease (CKD) is a global public health problem, due to the increasing prevalence and incidence of CKD, poor prognosis, and high treatment costs. The epidemic of tobacco use with its main use being through smoking is one of the biggest public health threats facing the world, including Indonesia. This study aims to determine the relationship between smoking behavior and Chronic Kidney Disease (CKD) in the population aged 15 years in Indonesia. Methods: The research was conducted using quantitative methods and a a cross-sectional analytical design. The source of data used in this study is secondary data obtained from the Riset Kesehatan Dasar (Riskesdas) 2018 with a total sample of 324,801 according to the inclusion and exclusion criteria. Results: Based on the results of the analysis, the prevalence of CKD incidence was 0.5% and the proportion of smoking behavior was 15.8% smoked and 1.8% had ever smoked with 14.1% the average cigarette smoked 20 cigarette/days, 14.5% smoked > 10 years, 8.0% were moderate smokers, and 11.0% smoked kretek. There is a significant relationship between smoking status, smoking duration, smoking degree, and type of cigarette with POR = 1.15 (95% CI = 1.02 ? 1.30), POR = 1.30 (95% CI = 1.15 ? 1.48), POR = 1.89 (95% CI = 1.48 ? 2.40), and POR = 1.91 (95% CI = 1.30 ? 2.80), respectively. In addition, several other risk factor variables had a significant relationship, namely age (POR = 2.66, 95% CI = 2.40 ? 2.96), gender (POR = 1.44, 95% CI = 1, 30 ? 1.60), education level (POR = 1.33 95% CI = 1.20 ? 1.48), hypertension (2.43, 95% CI = 2.20 ? 2.69), diabetes mellitus ( POR = 4.2, 95% CI = 3.63 ? 4.93), heart disease (5.28, 95% CI = 4.51 ? 6.17), consumption of energy drinks (POR = 1.51, 95 % CI = 1.07 ? 2.13), and physical activity (POR = 1.58, 95% CI = 1.42 ? 1.77). In addition, the modification effect variables (interaction) were identified, namely employment status, diabetes mellitus, and consumption of energy drinks, and confounding variables, namely age and gender. Conclusion: Smoking behavior, especially smoking status, duration of smoking, degree of smoking, and types of cigarettes smoked are important risk factors that need to be considered in preventing and controlling the incidence of CKD.
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: Sindrom Metabolik, Stroke, Riskesdas 2018
Stroke is a non-communicable disease that becomes one of public health problems in the world, including in Indonesia. A group of risk factors that can be interacted together including central obesity, high triglyceride levels, low HDL levels, high GDP levels, and hypertension are known as metabolic metabolism (IDF, 2006). The person who has metabolic syndrome has a chance 3 times to have heart attacks and strokes (IDF, 2006). Meanwhile, according to IDF (2006) it is estimated that 20-25% of the adult population in the world having metabolic syndrome. This research aims to study the relationship between metabolic syndrome and stroke event in population aged ≥ 15 years old in Indonesia after being controlled by covariate variables. The design study of this research is cross sectional using data from Riskesdas 2018. The sample of this research that met the inclusion and exclusion criteria was 24,451 respondents. Based on the result of the analysis, the proportion of strokes based on the doctor's diagnosis is 1.2%. The proportion of metabolic syndrome obtained is 24.4%. There is a significant relationship between metabolic syndrome and the stroke event with a p value of 0.001 with a POR of 2.370 (95% CI: 1.8872,001), which means that respondents with metabolic syndrome has a chance or odds 2.370 times higher for stroke compared to respondents without metabolic syndrome. The results of multivariate analysis obtained a significant relationship between metabolic syndrome and stroke event (p = 0,000) with aPOR of 2,415 (95% CI: 1,883- 3,099) and obtained confounding variables such as gender and age. Metabolic syndrome can be an important factor to consider in efforts to prevent and control stroke event in Indonesia.
Keywords: Metabolic Syndrome, Stroke, Riskesdas 2018
