ORCID Profile
0000-0002-5007-5575
Current Organisation
Badan Riset dan Inovasi Nasional Republik Indonesia
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Publisher: BMJ
Date: 03-2023
DOI: 10.1136/BMJOPEN-2022-065056
Abstract: To estimate the prevalence and determine the associated factors for developing prehypertension and hypertension among Indonesian adolescents. National cross-sectional study. This study was conducted in all the provinces in Indonesia. The population in this study were all household members in Basic Health Research 2013 aged 15–19 years. The s le was all members of the 2013 Riskesdas household aged 15–19 years with the criteria of not having physical and mental disabilities, and having complete data. The number of s les analysed was 2735, comprising men (n=1319) and women (n=1416). Dependent variables were prehypertension and hypertension in adolescents based on blood pressure measurements. The results of the analysis showed that the prevalence of prehypertension in adolescents was 16.8% and hypertension was 2.6%. In all adolescents, the risk factors for prehypertension were boys (adjusted OR, aOR 1.48 95% CI 1.10 to 1.97), 18 years old (aOR 14.64 95% CI 9.39 to 22.80), and 19 years old (aOR 19.89 95% CI 12.41 to 31.88), and obese (aOR 2.16 95% CI 1.02 to 4.58). Risk factors for hypertension in all adolescents included the age of 18 years old (aOR 3.06 95% CI 1.28 to 7.34) and 19 years (aOR 3.25 95% CI 1.25 to 8.41) and obesity (aOR 5.69 95% CI 2.20 to 14.8). In adolescent girls, the chance of developing prehypertension increased with increasing age and low-density lipoprotein (LDL) cholesterol levels. Several risk factors for hypertension in adolescent boys were age, central obesity and LDL cholesterol levels. This study shows that the trend of prehypertension in adolescents has appeared, besides hypertension. There are distinct patterns of factors that influence it in adolescent girls and boys, which can be useful to sharpen of planning and implementing health programmes.
Publisher: MDPI AG
Date: 12-01-2023
DOI: 10.3390/NU15020389
Abstract: Stunting is a worldwide public health concern, including in Indonesia. Even when living in an urban area with urban characteristics, it is still possible for children to be at risk of stunting. The aim of this study was to determine the sociodemographic and healthcare factors associated with stunting in a province experiencing tourism growth, namely, Bali. Cross-sectional data on Bali Province from the Indonesian Basic Health Research Survey (Riskesdas, 2018) were used as the basis for the research analysis. A total of 846 respondents under five years of age were analyzed, indicating a stunting prevalence of 19.0%. Multivariate logistic regression demonstrated low maternal educational attainment (adjustedOR = 1.92 95% Confidence Interval = 1.24–2.97), the inadequate consumption of iron tablets during pregnancy (adjustedOR = 1.56 95% Confidence Interval = 1.08–2.24), and no extended family (adjustedOR = 1.55 95% Confidence Interval = 1.07–2.26) as being significantly associated with stunting. According to these findings, sociodemographic and healthcare factors are associated with stunting in urban Bali. Improving women’s education, ensuring sufficient iron tablets are consumed during pregnancy, and encouraging the involvement of the extended family in childcare are recommended.
Publisher: Canadian Center of Science and Education
Date: 30-09-2021
Abstract: BACKGROUND: Previous studies have reported that Body Mass Index (BMI) cut-off was related to non-communicable diseases. This study aimed to give the latest evidence related to the accuracy of BMI cut-off towards undiagnosed hypertension and diabetes in the Indonesian population. METHODS: This was A cross-sectional study that involved data of the 2018 national population-based health survey, with the s les were 15,516 male and female populations aged between 19 years old and above. This study only included those claimed to have never been diagnosed as suffering from diabetes and hypertension by health workers. Receiver operating characteristic (ROC) analysis was conducted to assess the optimal BMI cut-off. The logistic regression was performed to assess the association of BMI on undiagnosed hypertension and diabetes controlled by several variables. RESULTS: The average BMI s le was 24 kg/m2 (SD = 4.6 kg/m2. The proportion of undiagnosed hypertension was 36.9%, and 12.3% for the proportion of undiagnosed diabetes. According to the ROC, the result shows BMI was more sensitive to hypertension conditions compared to diabetes. BMI cut-off points at 23.9 kg/m2 (AUC=0.59 Se=64.3% Sp=53.4%) was the optimum value to predict hypertension and 24.9 kg/m2 (AUC=0.55 Se=53.1% Sp=56.4%) was the optimum for diabetes. CONCLUSIONS: Based on the optimal AUC cut-off points for BMI which is around 0.5, BMI needs to be reconsidered as an anthropometric index in predicting undiagnosed hypertension and diabetes. And an assessment can be made using other anthropometric indices, such as waist circumference to predict undiagnosed hypertension and diabetes.
Location: Indonesia
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