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Introduction: Smoking is a risk factor that can increase blood pressure. Clinically, arterial blood pressure is described as systolic pressure per diastolic pressure, with normal values ​​for blood pressure ≥120 / 80 mmH. Screening for cardiovascular risk factors is recommended starting at age 20 years. The purpose of this study was to provide an overview of the risk of cardiovascular health (blood pressure) and smoking behavior in the younger age group and to determine the relationship between smoking behavior and blood pressure. Methodology: This research is an observational study with descriptive research type. The sample technique used is non-probability sampling using judgmental sampling or purposive sampling. The number of respondents in this study were 123 students. The data analysis used in this study was univariate analysis, namely the calculation of the frequency and presentation of blood pressure variables, smoking behavior (age of the smoker, duration of smoking and number of cigarettes consumed per day and the Brinkman index). The bivariate data analysis used in this study was the Lambda test to determine the correlation test for smoking behavior and blood pressure variables. Results: The results of this study showed that from 123 respondents, the majority of respondents were classified as light smokers with a total of 109 students (88.6%). respondents and the majority of respondents who had pre-hypertensive blood pressure were 105 students (85.4%). The results of the correlation test with the Lambda test found that there was no relationship between smoking behavior (Brinkman index) and blood pressure, with a value of λ = 0.000. Discussion: Based on this study, it was concluded that the majority of young smokers were light smokers and the majority had pre-hypertensive blood pressure levels. The results of this study also concluded that there was no relationship between smoking behavior and blood pressure levels. Suggestions for further research are to conduct research using a larger number of respondents and the need for intervention in the study and using a control group  Keywords: Smokers, Young Age, Blood Pressure

Students are considered to have an important role in providing health information and education to the public by compiling appropriate narratives and informative content related to the management of Covid-19 and handling hoax busters. The concept of health belief model is a health belief model with 4 (four) main concepts, namely perceived susceptibility, perceived seriousness, perceived benefits, and perceived barriers. This study aims to describe and analyze the relationship of four (4) health belief model components with the prevention behavior of Covid-19 in health students. This research method uses a descriptive-analytic design with a correlation study approach. The sample used in this study amounted to 97 students with a sampling technique that is probability sampling cluster sampling. The results of the health belief model components that have a relationship with Covid-19 prevention behavior in respondents are the perceived susceptibility component with p-value=0.000 (p<0.05), the perceived severity component with p-value=0.000 (p<0.05), and the perceived benefit component. with p-value=0.0002 (p<0.05). The component that has no relationship with the respondent's Covid-19 prevention behavior is the perceived barriers component with a p-value=0.28 (p>0.05).

Secara global kelainan bawaan mejadi penyebab kematian anak  sebesar 4% dan menjadi penyumbang kematian perinatal sebesar  22%.  Kelainan bawaan menempati urutan kedua penyebab kematian neonatal di Indonesia sebesar 21,4%. Jenis kelainan bawaan pada bayi antara lain talipes equinovarus (21,9%), orofacial cleft (20,4%), neural tube defect (18,4%), abdominal wall defect (16,45%), atresia ani (9,7%),  hypospadias atau epispadias (4,8%), kembar siam (4,2%) dan microcephaly (2,3%). Sekitar 50% kelainan bawaan tidak diketahui penyebabnya. Pengelolaan terhadap masalah ini, sangat bergantung pada persepsi. Perilaku individu seringkali didasarkan pada persepsi tentang kenyataan, bukan pada kenyataan itu sendiri, yang berdampak pada perilaku keluarga dalam melakukan perawatan pada anak dengan kelainan bawaan. Dukungan yang baik memberikan persepsi positif tentang kelainan bawaan  yang akan mempengaruhi kualitas hidup.  Penelitian ini merupakan deskriptif korelasi dengan pendekatan crossectional. Teknik sampling yang  dilakukan menggunakan purposive sampling dengan sampel berjumlah 17 responden. Hasil penelitian menunujukkan bahwa sebagian besar persepsieluarga positif dengan dukungan keluarga baik (35,5%) sehingga  persepsi keluarga memiliki pengaruh dukungan keluarga tentang perawatan bayi dnegan kelainan bawaan (p=0.013). Persepsi keluarga hanya sebatas kesadaran keluarga tentang suatu masalah kesehatan. Jika keluarga memiliki kesadaran bahwa memiliki anak dengan kelainan bawaan menjadi sebuah masalah maka keluarga memiliki persepsi yang positif terhadap masalah kesehatan. Dalam melaksanan tugas pemeliharaan kesehatan keluarga, maka sangat perlu dukungan keluarga. Kelahiran bayi dengan kelainan bawaan ini menimbulkan berbagai permasalahan dalam keluarga meliputi perasaan tertekan, malu, rasa bersalah, serta masalah perhatian dan pembiayaan yang lebih besar dari pada anak normal. Dukungan yang baik memberikan persepsi positif tentang penyakitnya yang akan mempengaruhi kualitas hidup

The incidence of malnutrition can increase the risk of morbidity and mortality of children. The purpose of this study was to determine the factors associated with the nutritional status of children under-five years. The research method used is quantitative with cross sectional design. In this study, using the method of Proportionate Stratified Random Sampling, the quantity of respondents was 107. The instrument used were a questionnaire and weight scales. The analysis data involved using chi-square test and multiple logistic regression. There was a significant association between environmental sanitation (p-value = 0.01, OR=4,95), history of exclusive breastfeeding (p-value = 0.001, OR=5,84), and a history of infectious disease (p-value = 0.03, OR= 3,51). There is a need for screening children under five with nutritional problems and improving health on community nutrition.