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BSNFP-4010 Evidence- Based Practice

BSNFP-4010 Evidence- Based Practice

Evidence-Based Practice


In the United States, Obesity is considered to cause 100,000–400,000 deaths annually. The disorder also caused a tremendous increase in health care expenditures that costs the society an estimated $117 billion (Lim & Harris, 2015). The escalating costs emanate from both direct and indirect costs that relate to treatment, preventive, and diagnostic services.  The cost exceeds the costs related to health-care expenditures associated to smoking and accounts for 7%-11% of national care costs in the United States (Lim & Harris, 2015). This paper aims to compare statistics for the primary health concern, describe the epidemiological concepts, data analysis methods, tools, and databases used, and explain the factors that affect health promotion and disease prevention. The paper will also describe the types of health care initiatives tried by other organizations and conclude by providing one health care initiative recommendation for obese and overweight population.

Statistical Comparison for a health concern of a vulnerable or diverse population to the statistics for the general population.

For the last one decade, the United State has had a childhood obesity problem with New York City leading in prevalence rates. The Department of Health estimates that every four below the age of 18 is obese and 25% of the entire population comprise those under the age of 18 years old (Ogden et al., 2014). According to a report released in 2015 regarding the state of obesity in the USA, New York’s adult obesity rate is currently 25.0%, an increase from 17.1 % in 2000 and 9.3 % in 1990 (Lim & Harris, 2015). Compared to other states, adult obesity rates are above 20% in all states, more than 35% in four states, and exceed 30% in 25 states (Lim & Harris, 2015).  In addition, Louisiana has the highest obesity rate of 36.2%, while Colorado has the lowest rate of 20.2% (Lim & Harris, 2015). In the years 2014 and 2015, U.S. had a decline in overweight and obesity rates in four states (Ohio, Montana, Minnesota, and New York), whereas an increase was recorded in two states that include Kentucky and Kansas (Lim & Harris, 2015).

Research show that obesity starts at early stages of life: nearly 50% of all Head Start and elementary school children are not healthy (Lim & Harris, 2015). In New York, one in five kindergarten children, and one in four Head Start students is obese (Lim & Harris, 2015). In addition, 39% of obesity in adults are caused by poor dietary behaviors, 44% is due to lack of physical activities while the rest are caused by genetic factors (Bleich et al., 2013).

 The tremendous increase in obesity prevalence rates calls for intervention by the federal government. Therefore, the state has made tremendous efforts in the fight against obesity and overweight hence assisting nutritionists to curb the problem. Hospitals’ public awareness may be imperative to educate the vulnerable population on the potential risks that emanate from unhealthy nutrition and lifestyle. The hospital plans need to provide useful information regarding the resources for affordable and accessible healthy food and the risks of high-calorie products

Epidemiological Concepts of Data Collection and Distribution

Obesity is an epidemic that has received significant attention throughout human history, and it is considered a major health hazard. The disorder is also an epidemiologic challenge facing healthcare providers, where the allocation of resources to curb the disease and the associated comorbidities expected to be more than $150 billion in the U.S (Wang et al. 2013). With this regard, the past research has focused on addressing the major epidemiological features of obesity that include risk factors, secular trends, global prevalence, and burden and societal impact of the disorder.

The databases used in research studies apply quantitative methods of data analysis. They involve the use of measurements, mathematical, statistical and numerical data obtained through surveys, questionnaires, polls, or manipulating pre-existing statistics by using computational techniques (Ogden et al., 2014). The data analysis results in obesity and overweight prevalence help the local and federal officials to evaluate, target, develop, and fund programs and policies to curb the disorder.

The data-driven systematic study shows that the distribution patterns of obesity in New York City depends on the risk factors that the population is exposed. Due to high urbanization, Manhattan has the highest prevalence rate. This is because people are exposed to fewer natural environments where the body can be exposed to physical activities like walking, cycling, climbing stairs, etc. The island is surrounded by water and most of the times; people have to use mechanized transport to move around in addition to consuming a lot of processed food with high sugar and fat content.

Factors that Affect Health Promotion and Disease Prevention

Obesity and overweight present a range of weight-related problems that are riskier than what is usually considered healthy for a particular weight. People with excess weight are recognized to have some issues that increase t******

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