Background: Maternal mortality in Indonesia was still quite high. To reduce the mortality rate of the government made a health care program for pregnant women, namely antenatal care services (ANC). Education, knowledge and age of mothers were one of the determinants of maternal death. The purpose of this study was to determine the relationship of formal education levels, maternal age and level of knowledge with health to ANC. Method: Observational analytic research type with a cross-sectional approach, using primary data, namely quizerer and secondary book data KIA. Data were analyzed univariate and bivariate using Spearman Rho test. Results: Univariate analysis, pregnant women with a higher education level of 7 people (21.9%), while 8 people (25.0%), 17 people (53.1%); Pregnant women with the same high and low knowledge level, 50%; Mother's age <20 years and> 35 years 10 people (31.3%) and mothers age 20-35 years 22 people (68.8%); Pregnant women with a complete ANC status of 15 people (46.9%), and 17 people were incomplete (53.1%); Spearman Rho Bivariat Test, the relationship of the level of formal education and the level of maternal knowledge with ANC P <0.05, while maternal age relations with ANC P> 0.05. Conclusion: The majority of pregnant women with low educated with the age range of 20-35 years. There was a significant and direct relationship between the level of education and the level of knowledge with ANC status.
BACKGROUND: Excessive smartphones can affect sleep quality, reducing sleep duration. This lack of sleep will impact various health and increase levels of free radicals in the body, affecting various cell functions. AIM: The aim of the study was to measure the relationship between sleep quality due to smartphone use and serum malondialdehyde (MDA) levels. MATERIALS AND METHODS: This was a quasi-experimental with pre- and post-test group study. Sleep quality was assessed with Pittsburgh Sleep Quality Index (PSQI), and the smartphone addiction was assessed based on Smartphone Addiction Scale (SAS) score. The subjects were divided into four groups (n = 6) based on their PSQI and SAS score. The first group was the subjects with normal sleep and non-smartphone addict. The second group was the subjects with normal sleep but smartphone addict. The third group was the subjects with abnormal sleep and non-smartphone addict. Furthermore, fourth was the subjects with abnormal sleep and smartphone addiction. All the subjects were asked to sleep usually and used the smartphone as necessary a day before the study started. Blood plasma was collected from the subject before and after the study for MDA measurement. Plasma MDA was determined using the thiobarbituric acid test. RESULTS: Smartphone use can reduce sleep quality and duration, resulting in sleep deprivation. There was no increase in MDA concentration (p > 0.05) in the ordinary and non-addictive or smartphone-addicted sleep group. Meanwhile, the group that stayed up late and was neither addictive nor addictive showed an increase in MDA levels and was statistically significant (p < 0.05). CONCLUSION: Adequate sleep can reduce blood serum MDA levels and smartphone use does not affect MDA levels.
Diabetes mellitus is a chronic disease that occurs due to insulin deficiency or insulin resistance. Data from Riskedas 2018, diabetes mellitus incidence in Indonesia is 10.9% for those over the age of 15 years. The achievement of successful treatment of type 2 diabetes mellitus is strongly related to the adherention of patients in taking the drug. The Covid 19 pandemic has resulted in many changes in life today, including the mobility of patients to health services. This studyaims: To find out the evaluation of the adherensi treatment of type 2 diabetes mellitus patients in the era of the covid-19 pandemic at the Ikur Koto Padang Health Center in the period March 2020 -November 2020. Method:This observational study uses a cross-sectional approach and involves 45 diabetes mellitus patients who are treated at Ikur Koto Health Center in 2020. The interview was conducted using questionnaire Morisky Medication Adherence Results: Obtained low compliance rate of 51.1%, moderate 17.8% and high 31.1%. . Conclusion: Half of Diabetes mellitus patients who take medication in Ikur Koto Health Center have low categorical antidiabetic treatment adeherence in the Era of Covid 19 pandemic.
Hyperlipidemia induces inflammation by increasing proinflammatory cytokines and reducing anti-inflammatory cytokines. Short chain fatty acids from fiber fermented by intestinal bacteria can reduce inflammation. The aim of this study is to evaluate the benefits of high fiber diet on IL-10 gene expression and IL-10 levels in white adipose tissue in rats with high fat and fructose diet. Twenty-five male Wistar rats, were divided into 5 groups: 1) normal (N); 2) Hyperlipidemia (HL); 3) Hyperlipidemia with fiber 1.04 g/rat/day (HL1); 4) Hyperlipidemia with fiber 2.07 g/rat/day (HL2), and 5) Hyperlipidemia with fiber 3.11 g/rat/day (HL3). The rats were considered hyperlipidemia, if their plasma triglyceride levels were > 70.79 mg/dL. High fat and fructose diet contain high fructose and trans-fat, while intervention diet for T1, T2, and T3 contain a total fiber of 6.88%, 13.77% and 20.65%, respectively. Serum IL-10 analysis using ELISA method was done before and after intervention, and IL-10 gene expression was analyzed using qPCR method after intervention. High trans-fat and fructose diet decrease IL-10 levels, while high-fiber diet can significantly increase the gene expression and levels of IL-10 in hyperlipidemia rats (p<0.05). High-fiber diet can improve inflammation through increase the gene expression and levels of IL-10.
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