COVID-19 is a global health problem including in Indonesia. The increased case of COVID-19 proved to have quite a significant impact on the economy globally which may have affected stability in Indonesia. This method of collecting data is a method of study literature with secondary data types. Data is taken from the Internet with respect to the validity of information such as government official information, official online sites and processed results of valid data. After obtaining the existing reference, a sorting of information that is appropriate to the topic of discussion. Data analysis is presented in graphical form and comes with a descriptive narrative. Based on the research, the impact of COVID-19 pandemic affects the economy in Indonesia. The affected sectors during the COVID-19 pandemic are transportation, tourism, trade, health and other sectors, but the economic sector most affected by COVID-19 is the household sector. Optimizing the potential in the country, the decline of BI-7 Day Reverse Repo Rate (BI7DRR), the interest rate of Deposit facility, and Lending facility interest rate, monitoring of global and domestic economic development conducted by Indonesia was assessed precisely so that inflation and stability remain in control.
Background: The prevalence of low birth weight (LBW) in the world (20%) and in Indonesia is still high (12.4%). The importance of efforts to reduce the incidence of LBW is written in the global nutrition targets for 2025. Methods: The study design in this study was quantitative using the data set 'Indonesian Demographic and Health Survey (IDHS) of 2017. The samples included in the research process were 13,269 samples with probability proportional to size (PPS) sampling technique. The research instrument was based on a modified DHS VII questionnaire. Data were analyzed by chi-square test, binary logistic regression, and Receiver Operating Characteristics (ROC). Results: The prevalence of LBW in Indonesia is 7% [95% CI: 6.6, 7.5]. The final model for determining low birth weight after controlling for confounding was gemelli P<0.001 [OR: 22,428; 95% CI: 14,145, 35,561], history of pregnancy complications P<0.001 [OR: 1,906; 95% CI: 1.569, 2.315], education level P=0.002 [OR: 1.581; 95% CI: 1.180, 2.117], economic status P<0.001 [OR: 1.509; 95% CI: 1.225, 1.859], and gestational interval P=0.016 [OR: 1.401; 95% CI: 1,066, 1,842]. The minimum probability of the prediction model is 2.8%-80.5% [AUC = 0.638; Sensitivity = 0.074; Specificity = 0.996]. Conclusion: Diagnostic performance with ROC evaluation on a predictive model of LBW determinant has very high specificity power. Mothers with gemelli status need to be the focus to reduce the risk of low birth weight.
Adolescent sexual behavior remains a global problem with high reports of cases of adolescents behaving freely. The lack of knowledge about sexuality is caused by limited information, services, and advocacy. There has not been a reproductive health curriculum for adolescents in schools. Therefore, this study aims to determine the relationship between sex education and sexual behavior in adolescents. This research is a quantitative study with a cross-sectional design. The sampling was taken using a total sampling technique. The sample included all students of class X and XI, with a total of 102 people. The research instrument used a questionnaire. Data were analyzed using chi-square and multiple logistic regression. Bivariate analysis results showed that there was a relationship between sex education by parents, teachers, peers, and social media and sexual behavior. The results of multivariate analysis with logistic regression tests showed that sex education provided by parents was the most substantial relationship with sexual behavior. The study concluded that parents, teachers, and social media were associated with sex education. Extensive sex education from other trusted information could reduce pre-marital sexual activity among adolescents. Elaborating on external factors would implicate a good attitude and behavior in students.
The prevalence of hypertension in coastal areas was still high between 2007 and 2018 with the highest prevalence in 2007 at 53.3%. The purpose of this research was to analyze the prediction of hypertension based on the determinants of the lifestyle of the coastal population. The type of this research is using cross-sectional research design, with a total sample of 210 people in the coastal area of Medan Belawan. The data were collected using an instrument in the form of a questionnaire, body mass index measurement using a manual weight balance and a stature meter and blood pressure using an sphygmomanometer aneroid. The selection of candidates as predictive variables is carried out by chi-square test analysis, followed by multivariate analysis using binary logistic regression test and the formulation model to find predictions hypertension, namely age ≥ 45 years has a 3.040 times greater risk of suffering from hypertension than age 45 years (p = 0.001; 95% CI = 1.549-5.966) and obesity nutritional status has a large 2.284 times greater risk of suffering from hypertension than nutritional status was not obese (p = 0.028; 95% CI = 1.091-4.780). The results of the calculation of the probability from the modeling, it is found that if a person is ≥ 45 years old and has a nutritional status of obesity, the probability of suffering hypertension is 99.99%.
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