Recently, stroke is a new trend among the young age group in the range of 15-45 years. One of the main complications of this disease is s physical disability, but it also causes communication disorders, emotional disturbances, pain, sleep disturbances, depression, and dysphagia. All of these signs have a major impact on the productivity of the young age group. This article aims to review literatures related to the factors that influence the incidence of stroke at a young age. This study uses a literature study design from 6 databases, namely: Science Direct, ProQuest, Wiley, Sage Pub and Pubmed research. The search used various keyword combinations with the help of Boolean operators, including: Young Stroke; Young Adults; Risk Factor; Factor, combined as MESH terms and keywords, and assessment of article quality using the JBI Cohort Studies Cross-Sectional Studies Cohort studies and Case-Control Studies. There were 19 selected articles were analyzed by adjusting the inclusion criteria, namely articles published in the last year, full text accessible, young stroke patient respondents, and discuss the factors that influence the incidence of stroke at a young age. Based on the results of the review, there are several factors that influence the occurance of stroke at a young age including physical factors with a percentage of 85%, lifestyle factors with a percentage of 55%, psychological factors with a percentage of 15%, sex factors with a percentage of 10% and age factors. as much as 5%. Implications in clinical practice include providing psychoeducation as a preventive measure to reduce the incidence of stroke at a young age.

During the Covid-19 pandemic, the medical team, including nurses, have struggled in isolation rooms, helping patients. Isolation rooms pose a greater risk than regular treatment rooms and direct contact can increase the risk of infection. Nurses’ anxiety may be high; they may be worried not only about the risk of transmitting Covid-19 to themselves, but also to their families at home, especially for those who are in vulnerable groups. This study aimed to identify the anxiety level of nurses in the Covid-19 isolation room at Universitas Muhammadiyah Malang Hospital. This was a descriptive observational study conducted from May 25 - June 3, 2021 with 16 nurses. The nurses’ anxiety was measured using the Hamilton Anxiety Rating Scale Questionnaire. The results showed that 13 nurses (81.25%) in the Covid-19 isolation room had mild anxiety levels. Keywords: anxiety, nurse, Covid-19, isolation room

Adherence in stroke patients for routine re-control is at 50% of total stroke patients. Non-adherence can increase the incidence of recurrent strokes. In stroke recurrence, disability and mortality will increase. This study aimed to determine the factors influencing treatment adherence in stroke patients based on literature studies. This study used a literature study with a sample of 14 journals: Pubmed (n=7), Proquest (n=4), SAGE Journal (n=1), and Science Direct (n=2). The literature study began with identifying data search problems, screening, and quality assessment using JBI cross-sectional studies, cohort studies, qualitative studies, dan Randomized Control trials and analyzed using thematic analysis techniques. As many as 35% of the factors that influence adherence to treatment in stroke patients are beliefs about treatment factors, and social factors and knowledge influence 15% of factors. Economic factors have an estimated percentage of 11% for physical characteristics, and marital status has a rate of 8%; also, age and gender factors have the same presentation, namely 4%. The factor that most influences medication adherence in stroke patients is the belief in the treatment. Keywords: factors, influence, treatment adherence, stroke patients

Hemodialysis is the most common renal replacement therapy in patients with chronic kidney disease and has a dose that must be achieved, known as hemodialysis adequacy. In fact, many hemodialysis patients do not reach the hemodialysis adequacy target. There are three main factors affecting hemodialysis adequacy: the solute, the patient, and the dialysis process. Patient factors are important because these factors can be modified, intervened, and anticipated by nurses. One of the interesting patient factors to study is the Body Mass Index (BMI). The purpose of this study was to determine the relationship between BMI and hemodialysis adequacy. This research was conducted in November 2021. This study used a cross-sectional design with a consecutive sampling technique and comprised of 84 samples that met the inclusion and exclusion criteria. The data were collected by using recording data from the medical records of hemodialysis patients. BMI using post-hemodialysis weight parameters and hemodialysis adequacy were assessed by looking at the Kt/V score. The results showed that there was a significant relationship between BMI and hemodialysis adequacy (p=0.001) with moderate strength and negative pattern (r=-0.362); this means that the greater the BMI value, the less hemodialysis adequacy. The results indicated that maintaining a normal BMI can increase hemodialysis adequacy in patients. This can prevent complications, improve quality of life, reduce treatment costs, and reduce the frequency of hospitalization. Keywords: hemodialysis adequacy, body mass index, chronic kidney disease

Stroke is a condition in which the brain function has stops working due to interference by the circulation of oxygen in the blood into the parts of the brain. The emergence of disability and weakness of motor function as a result of stroke affects the functional status of patients after stroke. Another problem that is often encountered by post-stroke patients is sleep disturbance. The purpose of this study was to determine the relationship between sleep quality and the functional status of post-stroke patients. The type of research conducted in this study is an analytic study with a cross-sectional approach. Post-stroke patients who underwent the treatment in the outpatient unit of Wava Husada Hospital were the population in this study. The sample in this study was determined as many as 84 respondents using the GPower application. Measurement of sleep quality using the PSQI questionnaire and functional status using FIM. Data analysis using Pearson Correlation test. The results showed that 82,1% of respondents had poor sleep quality. 78,6% of respondents in the functional status category were relatively dependent on assistance. Pearson Correlation analysis results obtained p-value = 0,000 (<? = 0,05) with a degree of relationship of 0,720. These results indicate that there is a strong relationship between sleep quality and functional status in post-stroke patients. It is suggested to the nursing profession to improve sleep quality on post-stroke patients to accelerate the improvement of functional status on patients.