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Egg and/or Flesh Food Consumption is one of WHO and UNICEF's Infants and Young Child Feeding indicators as a way to prevent and overcome child nutrition problems, such as stunting. This research was carried out to determine the factors that influence EFF consumption in children aged 6-23 months. The 2017 IDHS secondary data was utilized in this research. The study design used was a cross-sectional study design with univariate and bivariate analysis. The research results showed that the percentage of children aged 6-23 months who met EFF consumption was 71.7%. Of the variables, there is a statistically significant relationship between child age (PR = 3.34; 95% CI: 2.96-3.75), mother's access to the internet (PR = 1.19; 95% CI: 1, 06-1.34), ownership of KIA book (PR = 0.74; 95% CI: 0.59-0.95), mother with low (PR = 1.65; 95% CI: 1.29-2, 13) and middle (PR = 1.36; 95%CI: 1.09-1.70) education, low (PR = 1.65; 95%CI: 1.27-2.13) and middle (PR = 1.28; 95% CI: 1.01-1.619) education, mother's working status (PR = 1.32; 95% CI: 1.16-1.45), poorest household (PR = 1.86; 95%CI: 1.40-2.47), poor households (PR = 1.74; 95%CI: 1.32-2.31), middle class households (PR = 1.67; 95%CI: 1.26-2.22), rich households (PR = 1.39; 95%CI: 1.05-1.83), and refrigerator ownership (PR = 1.28; 95%CI: 1.14- 1.44) towards non-achievement of EFF consumption. Information regarding factors that influence EFF consumption can be the basis for current information regarding EFF consumption indicators.
Breast milk (ASI) is the liquid secreted by the mother's breast glands in the form of natural food or the best nutritious and high-energy milk produced since the mother's pregnancy (Wiji, 2013). Nationally, from the 2017 Ministry of Health data, the coverage of exclusive breastfeeding for babies is 61.33%, but there are still some provinces that have not reached this coverage. This study aims to determine the factors that influence exclusive breastfeeding in Indonesia. This study used a quantitative approach with a cross sectional study design. The results of the study were analyzed using univariate, bivariate, and multivariate analysis. In this study, the results of the bivariate analysis showed that the variables that had a relationship with exclusive breastfeeding were the mother's working status variable (p value 0.013), health facilities during childbirth (p value 0.001), information exposure (p value 0.044), and IMD. (p value 0,000). Broadly speaking, the coverage of exclusive breastfeeding in this study is quite good, amounting to 61.0%. From the results of the multivariate analysis, it was found that the variables that had the most association with exclusive breastfeeding were maternal occupational status and BMI.
The high prevalence of cervical cancer is a global health problem. It causes hundreds of thousands of deaths among women every year worldwide. With an estimated 570,000 cases and 311,000 deaths in 2018 worldwide, the disease is the fourth most frequently diagnosed cancer and the fourth leading cause of cancer death in women. Early diagnosis and screening in women can improve treatment success and women's survival. This study aims to determine the factors associated with the participation of women in Indonesia to perform early detection of cervical cancer. This study uses secondary data from IFLS V using a cross-sectional design with 29,220 respondents who are married women. The results show that the proportion of women who do early detection of cervical cancer or Pap smear as much as 22.99% is still very low compared to the target. Variables related to the participation of women in Indonesia for early detection of cervical cancer are disease history, parity, age, age at first marriage, education, distance to health facilities and health insurance. The most dominant variable that predicts women to do cervical cancer screening is age at first marriage with POR 2.4 with 95% CI 1.606-1.843. Socialization and health education are needed so that women are willing to delay the age of first marriage
The prevalence of anemia in children in Indonesia, based on data from Indonesia Based Health Research in 2013, was 28.1%. This figure increased from the previous year in 2007 which was only 27.7%. Then it increased again in 2018 at riskesdas showing the figure of 38.5%. Research results Zuffo et al., 2016); Prieto-Patron et al., 2018; Li et al., 2019; Woldie, Kebede and Tariku, 2015; Konstantyner, Roma Oliveira and De Aguiar Carrazedo Taddei, 2012 showed that the group at higher risk for anemia was aged 0-23 months. Research in Bali in 2019 also showed the same results that as many as 71% of children under two years of age suffer from anemia, while only 9% of children aged over two years suffer from anemia. For this reason, this research needs to be carried out in order to know the factors associated with the incidence of anemia in under-two in Indonesia. The purpose of this study was to determine the prevalence of anemia in under-two in Indonesia and the factors associated with the incidence of anemia in under-two in Indonesia. This study uses secondary data from Indonesia Based Health Research 2018. The research design used is cross-sectional with a total of 832 children as respondents. This study also conducted a multivariate test, namely logistic regression, to determine the dominant factor in the incidence of anemia in children under two in Indonesia. Based on the results of the analysis, it is known that the prevalence of anemia in under-two reaches 54.9%. In this study, children aged 0-11 months [OR 1.770 (1.33-2.34)], nutritional status wasting [OR 1.626 (1.03-2.55)], nutritional status underweight [OR 1.556 (1.05 -2.33)], low maternal education [OR 2.512 (1.39-4.54)], secondary maternal education [OR 1.893(1.07-3.32)], and rural area of residence [OR 1.386 (1.05-1.82)] was found to be significantly associated with the incidence of anemia in under-two. The most dominant variable found was the children age. Therefore, it is recommended for health offices in Indonesia to overcome anemia, it is hoped that posyandu and puskesmas can detect anemia in children as early as possible, namely in the age range of 3-5 months, or at least according to the recommendation for the first screening for anemia, namely, at a maximum age of 9-12 month. Also, it is expected to provide adequate and adequate supplementation for both children and pregnant women.