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Prelacteal is foods given to newborns before breastfeeding is established or before breast milk comes out, one of the effects of prelacteal feeding practice is to increase mortality in infants. Efforts to reduce the behavior of prelacteal feeding practice is by implementing Early Initiation of Breastfeeding. Where one of the benefits of implementing EIB is stimulate the release of breast milk. This study uses data from the Indonesian Demographic and Health Survey on 2017 which aims to determine the correlation between the implementation of EIB with prelacteal feeding practice among newborns after being controlled by covariate variables (age, education, occupation, economic status, region of residence, frequency of Antenatal Care visits, birth attendants, type of delivery, and birthweight). The study design used was cross sectional with a total sample of 1,728 respondents. Data analysis used multiple logistic regression. The results showed that there was a correlation between the implementation of IMD with prelacteal feeding practice among newborns in Indonesia on 2017 (ρ-value = 0.0001) with an OR value of 5.20, which means that respondents who did not implement EIB had a 5.20 times more likely to do prelacteal feeding practice among newborns after being controlled by variables the region of residence and type of delivery. The recommendations of this research are technical guidelines and implementation guidelines of existing policies so that these regulations can be implemented by the regions.
The population of Indonesia from 2010-2017 continues to increase from 238 million to 261 million in 2017 with a population growth rate of 1.34% per year and maternal mortality rate is 359 per 100,000 live births. The percentage of drop out of family planning participation is 34% and the percentage of married women aged 15-49 with unmet need for family planning is 11% . This study aims to analyze the determinants of the choice type of contraception in women of childbearing age. Variables observed were age, education, work status, domicile, economic status, number of children, gender of children, place of family planning services, and ownership of national health insurance (JKN) women of childbearing age. The data used are Susenas Data (National Socio- Economic Survey) in 2017 and analyzed using multivariate logistic regression. The results explain that the variables of maternal age, education, work status, domicile, economic status, number of children, gender of children, place of family planning services, and ownership of national health insurance (JKN) influence the choice of birth control methods for women of childbearing age in Indonesia. From the results of this finding, it is expected that the government will be able to improve the health education movement for women of childbearing age to be willing to use family planning and increase the number of trained personnel, especially village midwives
Penyakit ginjal kronis merupakan penyebab kematian nomor 12 pada tahun 2017 dan diprediksi menjadi penyebab kematian nomor 5 pada tahun 2040. Berdasarkan data SKI 2023, prevalensi penyakit ginjal kronis di Indonesia adalah 0,18%. Walaupun relatif relatif kecil, masalah yang dihadapi adalah deteksi dini risiko dari faktor risiko penyakit ginjal kronis. Permasalahan penanganan penyakit ginjal kronis di Indonesia adalah kurangnya edukasi mengenai deteksi dini penyakit ginjal kronik serta faktor risikonya kepada masyarakat. Berdasarkan permasalahan ini, dilakukan penelitian untuk melihat faktor-faktor penyebab ginjal kronis di Indonesia. Penelitian dilakukan dengan menggunakan data SKI 2023 dengan jumlah sampel sebanyak 22639 individu. Penelitian ini dilakukan dengan uji kai kuadrat dan dilanjutkan dengan regresi logistik. Dari hasil regresi logistik yang dilakukan didapatkan hasil bahwa variabel yang menjadi faktor terbesar penyebab penyakit ginjal kronis adalah diabetes ( p-value = 0,008 ; OR = 4.792 (1,52-15,14)). Karena hasil penelitian menunjukkan diabetes sebagai faktor terbesar penyebab penyakit ginjal kronis, maka peneliti menyarankan bahwa terdapat dua fokus kebijakan yang dapat dilakukan. Pertama untuk penderita diabetes dalam hal pengontrolan penyakit, dan kedua kepada orang sehat dalam hal skrining dan deteksi dini serta promosi kesehatan untuk penerapan pola hidup sehat.
Chronic kidney disease was the 12th leading cause of death in 2017 and is predicted to be the fifth leading cause of death in 2040. Based on SKI 2023 data, the prevalence of chronic kidney disease in Indonesia is 0.18%. Although relatively small, the problem faced is early detection of the risk of chronic kidney disease risk factors. The problem of handling chronic kidney disease in Indonesia is the lack of education regarding the early detection of chronic kidney disease and its risk factors to the community. Based on this problem, a study was conducted to see the factors causing kidney chronicity in Indonesia. The study was conducted using SKI 2023 data with a sample size of 22,639 individuals. This study was conducted using the chi-square test and continued with logistic regression. From the results of the logistic regression, it was obtained that the variable that was the most significant factor causing chronic kidney disease was diabetes (p-value = 0.008; OR = 4.792 (1.52-15.14)). Because the results of the study showed diabetes as the most significant factor causing chronic kidney disease, the researcher suggested that there were two policy focuses that could be implemented. Firstly, for people with diabetes in terms of disease control, and secondly, for healthy people in terms of screening and early detection as well as health promotion for implementing a healthy lifestyle.
Maternal mortality in developing countries is still high, in addition to medicalfactors, factors of maternal health services is of the causes of maternal death.Coverage of antenatal care (K4) in the province of Aceh still below nationaltargets. The purpose of research to describe and analyze the utilization ofantenatal care determinants related to the utilization of antenatal care in theprovince. This study uses data from Riskesdas In 2013, focusing on women whohave been pregnant for 3 years prior was to the survey, with a sample size is 2,081respondents. The method of analysis using logistic regression model, which wasuseful for predicting the determinants of the utilization of antenatal care. Resultsshowed that 66.12% of pregnant women utilize antenatal care at least 4 times thecorresponding standard ideal time. Factors that consistently and positivelyassociated with utilization of antenatal care (K4) is the economic status, maternaland child health handbook, pregnant wishes, age, and education. pregnancycomplications factors tend to be associated positively if the standard antenatalcare (K4) used an unspecified time of the examination.Keywords: Maternal Mortality, Antenatal Care, Logistic Regression, Aceh.
The high maternal mortality rate (346 per 100.000 live birth) in Indonesia is causedby several factors, one of it is that Indonesia has not been achieved the indicator ofaid deliveries in health facilities. This study aims to look at the influence and thecontribution of individual factors and province factor on deliveries in six provincesin Indonesia based on data from Demographic and Health Survey and healthprofiles of Indonesia in 2012. Based on the analysis of multilevel multinomiallogistic regression, the determinant of delivery aid is the individual factors includethe antenatal care, regions, health insurance, household wealth index, husband'soccupation, employment and education of women of childbearing age, parity andthe age of them. The determinant factor of the province covers the ratio of healthcenters, the ratio of beds and population density. Contextual variables (provincefactors) decrease 24.22% variation deliveries at six provinces in Indonesia.Keywords :Maternal mortality, Deliveries, individual factors, provinces factors, multilevellogistic regression multinomial.
