Quantitative Research Anslysis

All participants signed the free and informed consent form. The study was conducted and data were collected from January to March. The data were collected by a validated questionnaire. The test was conducted individually during work hours. The data analysis considered the two professional groups such as nurse and auxiliaries. Student’s t-test for two independent samples was applied.

Compare and contrast quantitative and qualitative methods on each of the elements listed. Please use scholarly, academic literature to support your response.

Obesity has been measured or defined in various ways. Many researchers have differing opinions on the origins and effects of obesity. The rapidly increasing rates of obesity are often linked to a high calorie diet and little to no physical activity. Although obesity is seen as a disease that affects a person’s weight, it actually affects a lot more than that. Obesity can affect individuals in both adolescence and adulthood, their families, and the healthcare system. From an outside viewpoint, obesity looks like a disease that careless, inactive people develop. Not always is this the case. Obesity is not a disease that affects solely the weight of a person. To be considered obese, your BMI (body mass index) would have to be 30 or higher. Almost 70 percent of Americans are either overweight or obese. Not only does obesity affect the weight of a person, it can also lead to increased risk for diabetes, high blood pressure, heart disease, sleep apnea, and many other things. Questions posed on this dreadful disease by many people are on the origin of the disease, the effects and exponential growth of the disease, and the actions that are being taken to help provide a healthier environment for Americans and to establish programs and preventative methods across the country to help fight the ever increasing obesity rate.

Formal and informal social networks, families, work colleagues, friendships influence individual’s decisions. Opinions people have of others can have a huge influence on how someone lives their lives, for example, if an individual hears negative comments about their body image the individual’s opinion of themselves will change and its usually in a negative way. This also links with interpersonal factors such as the characteristics of an individual, including their knowledge, behaviour and attitude. An individual with a lot of knowledge regarding obesity is more likely to try and avoid becoming obese and will have a negative attitude towards the subject because they are aware of the impact it will have on their health. This will differ with someone with a lack of knowledge about obesity as they may not understand or know about the severity of the health conditions that are associated with

Polit, D., & Beck, C.T. (2012). Quantitative research design. (Laureate Education, Inc., custom ed.), Nursing research: Generating and assessing evidence for nursing practice (pp. 201-231). Philadelphia, PA: Lippincott Williams & Wilkins.

Heintze, C., Sonntag, U., Brinck, A., Huppertz, M., Niewöhner, J., Wiesner, J., & Braun, V. (2012). A qualitative study on patients' and physicians' visions for the future management of overweight or obesity. Family Practice, 29(1), 103-109. doi:10.1093/fampra/cmr051

Presentation is important to how a person receives the information because it can determine how they perceive it and what they will do with it. The point is that obesity has been viewed by many as simply an epidemic that has been caused by eating too many unhealthy foods. Although both children and adults should acknowledge the fact of how obesity is developed and hold strong to changing those habits, is the real solution held within our mentalities or physicalities? Our decisions result in the foods and the amount of exercise that we have. Therefore, our mentalities seem to outweigh our physical, but it is because of our physical well-being that we make certain decisions which brings a balance between both aspects. The idea athletic

It is now important to apply the social models and evaluate their effectiveness in explaining the increasing prevalence of health conditions associated with the obesity epidemic.

If your family member was severely injured or even killed in a terrorist attack, would you want to find out by seeing them lay lifeless on the ground in a video posted on twitter?

A rigorous and thorough approach was used in conducting a literature review on obesity in healthcare using electronic databases including PubMed, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Google Scholar. A minimum of five peer-reviewed articles within the last five years was used in obtaining information on the topic.

The research team broke down the results for easy understanding. Distribution of age was 0clearly provided by histogram, marital status was visualized via pie chart, and a correlation table provided a breakdown of relationships among variables (Hardin et al., 2011). Hardin et al. (2011), also provides a comprehensive recapitulation of the results whether quantitative or qualitative to correspond with the visual information provided in charts and tables.

As an example, health beliefs are characterized by an individual 's perception that he or she is vulnerable to obesity and, if so, that action can be taken to prevent or delay its process. People who feel vulnerable to being obese are more likely to heed recommendations based on information about the links between dietary choices and the risk that cause obesity. They see that dietary changes may lead to positive results.

The Health Belief model is a psychological construct that is used to predict health behavior (see Figure 1). The two components of the model that are used to predict behavior are the perception of the threat and the perception of the benefits and barriers to taking action to reduce the threat. The perception of the threat is composed of two elements: the perception of seriousness of the threat and the perception of the susceptibility to the threat (Sharafkhani, et al. 30). As an example, if the individual believes that being overweight or obese will have a very negative impact on their health, then the perceived seriousness of the threat will be high. At the other end of the spectrum, if the individual believes that being overweight or obese will have little effect of their health, the perceived seriousness will be low. The perceived susceptibility to the threat is the extent to which the individual believes that the consequences of overweight or obesity applies to them personally (Sharafkhani, et al. 30). For example, if the individual believes that they are unlikely to become diabetic or to develop high blood pressure as a result of being overweight or obese, the perceived susceptibility is low. If, however, the individual has several family members who have been diagnosed with hypertension or diabetes, they would be more inclined to believe that they have a high susceptibility to the consequences of being overweight or obese.

After observing and analysing the data thoroughly it can be concluded that there is a high possibility the data is quite biased. This it can be said that because each set of data seems to show females smoking less than men but such data cannot be reliable as it is unknown were the data came from, who recorded it and what year it took place. As a result of such a possibility it is not unrealistic to think that the person recording the data could be in favour of the female side. To add another card to the table the data only displays 50 of a maximum of 196 independent countries in the world leaving the question, were only 50 countries with statistics showing high rates of smoking amongst males selected just to show that females had better results. Such suspicions can only lead to inaccurate and unreliable data. To add to suspicion, 50 countries doesn’t even exceed that of half the total amount of countries in the world so even if a reliable conclusion could be met it would only show results for just over a quarter of the worlds

Quantitative research design is the standard experimental method of most scientific disciplines. These experiments are sometimes referred to as true science, and use traditional mathematical and statistical means to measure results conclusively. They are most commonly used by physical scientists, although social sciences, education and economics have been known to use this type of research. It is the opposite of qualitative research. Quantitative experiments all use a standard format, with a few minor inter-disciplinary differences, of generating a hypothesis to be proved or disproved. This hypothesis must be provable by mathematical and statistical means, and is the basis around which the whole experiment is designed. Randomization of any study groups is essential, and a control group should be included, wherever possible. A sound quantitative design should only manipulate one variable at a time, or statistical analysis becomes cumbersome and open to question. Ideally, the research should be constructed in a manner that allows others to repeat the experiment and obtain similar results.