6 Reasons Youre Having Problems Concentrating

6 Reasons You're Having Problems Concentrating There are many reasons why your mind might wander. Some of the most common factors are non-medical and can be treated by making small changes in your routine. 1. Fatigue Fatigue from sleep deprivation is the most common cause of an inability to concentrate on one topic for a long time. Many studies have shown that people are not getting enough sleep, and sleep deprivation have serious physical, emotional, and cognitive effects. The first step in attempting to solve your concentration problem is finding a way to get at least eight hours of sleep every night. This isnt easy to do. We have busy lives and develop habits that make it difficult to get to sleep early enough. However, if you have a severe concentration problem, you may need to make some sacrifices to find a solution. Try getting plenty of sleep and see if you get results. 2. Anxiety Anxiety can cause the inability to concentrate too. Are you worried about something? If so, you might need to isolate your source of anxiety and confront it head-on. We deal with many pressures from our peers, and this social force can become quite damaging in extremes. Are you dealing with pressure? If so, it may be time to change your life to eliminate some of the stressors. Is your schedule too heavy? Are you involved in a toxic friendship? Is something else bothering you? If you are dealing with some pressure that might lead you down a dangerous path, it might be time to get a second opinion from someone. You can talk to a parent, a doctor, a guidance counselor, a co-worker, or a teacher. Depending on the situation, your emergency contact might be different. Find people you trust and let them know that youre dealing with anxiety and would like some support. 3. Excitement Excitement is related to anxiety, but a little more fun! There are lots of things that come along from time to time that grab our attention and make us daydream. This can be a big problem when weve got to pay attention to something! Make the conscious decision to set aside your daydreams until after class. 4. Love A big distraction is a physical attraction or being in  love. Are you having a difficult time concentrating because you cant get someone out of your head? If so, you need to find a way to discipline yourself. It is sometimes helpful to establish healthy routines in your habits by setting up parameters both inside and outside your head. Outwardly, you can establish a physical space and a concentration time. Inwardly, you can set rules about thoughts that are and are not permissible during concentration time. 5. Diet and Caffeine Your diet and, for those who drink coffee, consumption of caffeine, are other potential problems when it comes to concentration. Your body is just like a machine in some ways. Just like an automobile, a body needs clean fuel to keep it running well. Different people are affected in different ways from foods and chemicals-and sometimes those effects can be unexpected. For example, it may surprise you to know that some studies have linked low-fat diet with symptoms of depression! And depression can affect your concentration. Caffeine is another potential trouble-maker when it comes to diet and moods. Caffeine consumption can cause insomnia, headaches, dizziness, and nervousness. These symptoms are sure to affect your concentration. 6. Boredom Boredom is another big culprit when it comes to staying focused on your studies. Boredom stems from doing something that lacks meaning and motivation. What can you do? Every time you prepare to enter a study environment, take a moment for a reality check. What do you need to accomplish? Why? Concentrate on a goal for the next hour and think of a way to reward yourself for reaching that goal.

buy custom Captivating Nursing Essay Examples on Community Health

buy custom Captivating Nursing Essay Examples on Community Health Nursing Essay Example on Community Health and Primary Healthcare Services Introduction Community health nursing refers to application of nursing practice and public health or community health practice with an aim of promoting and preserving the health of populations. The practice involves general and comprehensive services. It does not have limits to particular groups or diagnosis and maintains continuous service delivery (American Nurses Association, 1980). Currently, many changes in the delivery of healthcare services have occurred including healthcare financing, health policies, healthcare focus and methods of delivering health services. This aims at maintaining healthier communities through prevention of health problems. Community health nurses need to assess the community to identify health needs and come up with appropriate community diagnosis which guides interventions. The discussions below involve the assessment and formulation of community diagnoses for Fairfax community.

A Comparison of Some Methods of Cluster Analysis with SPSS Dissertation

A Comparison of Some Methods of Cluster Analysis with SPSS - Dissertation Example duction to Classification and Clustering Statistical analysis is the process by which those conducting research and analysing data, can determine who or what within a dataset, fit certain patterns and trends. There is always a dependent or prominent variable which is affected by independent variables under different analytical circumstances and then there is clustering a group of people, for example, who may have similar buying propensities or who respond the same way to a certain dosage in a medical treatment (Norusis 361). As Burns and Burns describe it, cluster analysis classifies ‘a mountain of information into manageable meaningful piles’ (552). Clustering into groups helps in identifying and classifying particular categories into a membership, from which a classification rule is determined. In a simple description of cluster analysis, it is a generic name for mathematical operations which determine what classified objects fit closely in a group (Romesburg 2). Analy sis conducted on a batch of rocks as the main group, will show through analysis that some are classified as simple round pebbles, others are quartz, rough diamonds (hopefully) or fool’s gold (typical luck). Characteristics of the rocks then reclassify into smaller clustered groups, depending on the goal of the research (2). Linkage between the variables, the cases and the clusters are a main proponent of cluster analysis (Burns and Burns 1). Classification analysis is used more often in regular research analysis than people realize and there are several ways of approaching classifications, as reviewed in the next section. Information and marketing research has found ways to conduct all types of cluster sampling, for example, in order to learn more about what is happening in their market with consumers, their purchasing habits, and where these are occurring. One popular form of research is through area sampling, where clusters are done by geographic designations such as north, northwest, south, southwest, and so on, or by metropolitan statistical areas (MSAs), such as cities, streets, and regional divisions (Hair, Bush, and Ortinau 352). Whatever the sampling is, cluster sample provides that sampling clustered units are divided into exclusive groupings where each cluster is considered a representative of mutually similar components (Zikmund 708). A more common term used in the marketing research field is segmentation when referring to a population group of customers and this can also be cluster sampled by customers in different cities to find out which cities are alike in consumer purchasing (Churchill and Iacobucci 820). In psychology, clustering is a process of putting together groups of people, based on their responses to variables, rather than grouping those variables, such as found in factor analysis (Field 1). From that point, Euclidean distance determines the geometric distance between two objects, also known as cases. In the cases where there are some negative and some positive differences, the distances are squared, therefore providing a positive distance. This is because a negative distance, squared, becomes a positive. A positive distance, squared, remains a positive distance. At the end of squaring all the distances, then they are all summed up and then the square