Risk factors for the metabolic syndrome in non-obese older Indonesians (original) (raw)
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BACKGROUND: Metabolic syndrome (MetS) is a multiple risk factor for the development of type 2 diabetes mellitus (DM). It is important to understand the contribution of MetS in developing DM in different population characteristics. This study aims to obtain the prevalence of MetS and the magnitude of the contribution of MetS risk factors as a basis for developing targeted DM intervention programs. METHODS: This study used data from the 2018 Riskesdas survey, an Indonesia national health survey, with a total sample of 24,545 individuals aged 15 years and over. This study selected only respondents who had never been diagnosed with diabetes mellitus before the survey was conducted and have complete MetS data according to the National Cholesterol Education Program or Adult Treatment Panel III (NCEP/ATP III) criteria. Data had been analyzed for the Population Attributable Fraction (PAF) statistical test. RESULTS: A total of 29.2 percents of the population with MetS and the prevalence in w...
The Risk Factors of Obesity Among Elderly in Sintang, Indonesia
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Body Mass Index problem is becoming a double burden in Indonesia, including among older people. Nowadays, the elderly face a high index of BMI due to some risk factors and it is leading to other non-communicable diseases. This research aimed to examine the correlation between some determinants and obesity among older people in Sintang Regency, West Kalimantan. 358 elderly aged 46 to 65 years participated in this study selected by the total sampling method. The independent variables in this study were knowledge, activity, food intake, sex, attitude, age, the history of obesity, and obesity breeds, type contraception, and the duration of sleep. The multivariate analysis was found that knowledge, activity, food intake, age, and duration of sleep were significantly associated with obesity among the elderly. The preventive and promotive approach is needed to treat the obesity prevalence.
Vascular Health and Risk Management, 2022
Cardiovascular disease (CVD) is the leading cause of death worldwide and is the number one mortality cause in Indonesia. The highest percentage of its prevalence occurs in the elderly population. This research aims to assess the determinants of CVDs in the elderly population in Indonesia based on the Indonesian Family Life Survey 5 (IFLS-5), a sub-nationally representative survey data, in 2014-2015. Methods: A national cross-sectional population-based survey was conducted using multicenter data from approximately 13 provinces in Indonesia in 2014-2015. We included elderly subjects aged 60 years old and above with complete data on sociodemographic, smoking habits, obesity, dietary pattern, and physical activity and diagnosis data on hypertension, diabetes mellitus (DM), and hypercholesterolemia. Multivariate logistic regression was performed to estimate odds ratio (OR) and corresponding 95% confidence interval (95% CI) and p-value. Results: We included complete data from 2873 respondents. The determinants associated with CVDs in the elderly population in Indonesia included college background (OR 6.26 [95% CI 2.690-14.613], p < 0.001), unemployment (OR 1.88 [95% CI 1.294-2.75], p = 0.001), urban population (OR 2.11 [95% CI 1.427-3.114], p < 0.001), obesity (OR 1.59 [95% CI 0.842-3.02], p = 0.152), low and medium physical activities (OR 2.34 [95% CI 1.335-4.121], p = 0.003 and OR 2.54 [95% CI 1.449-4.486], p = 0.001, respectively), hypertension (OR 4.25 [95% CI 2.945-6.137], p < 0.001), DM (OR 2.77 [95% CI 1.683-4.591], p < 0.001), and hypercholesterolemia (OR 2.99 [95% CI 1.860-4.812], p < 0.001). Conclusion: The determinants of CVDs in the elderly population in Indonesia based on Indonesian Family Life Survey (IFLS)-5 data are hypertension, hypercholesterolemia, DM, lower physical activity, higher educational background, urban population, unemployment, and obesity. The findings of this current study highlight that more appropriate control measures such as tailored intervention by policymakers and healthcare providers for those at high risk should be initiated and implemented.