According to the 2010 U.S. census data, the overall population of the region was 75,371. The U.S. Census Bureau has labeled the community’s boundaries as Kendall. However, the local people in the region incorporate…
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These considered the leading populations in the U.S. In addition, Kendall region occupies an estimated total area of 42.3 square kilometers. Its water occupies 1.35 percent of the region while the rest of the region is dry land (Government Recovery, 2014). This paper will undertake a community assessment for Kendall, which will help devise strategies for combating the prevalence of obesity in the region.
Research reveals that in 2010, approximately 31,899 households were prevalent in Kendall community. Of these, 8.7 percent were uninhabited. In 2000, children below 18 years inhabited around 33.4 percent of the households in Kendall. Around 51 percent of the households comprised of married couples who lived together, while 13.8 percent comprised of an unmarried female (CDC, 2014). Moreover, about 31 percent were not family members. Individuals inhabited about 24.4 percent of the homes whereas 7.3 percent had individuals older than 65 years living alone. The average size of a home was 2.61 while the approximate size of a family was 3.14 (Government Recovery, 2014).
The historical population growth for Kendall based on census year is as follows: 1970 (35,497), 1980 (73,758), 1990 (87,271), 2000 (75,226), and 2010 (75,371). In this case, it is true that since 1990, the population for Kendall declined and then remained static between 2000 and 2010 (Frorida Demographics, 2014). In this case, it is true that prevalence of obesity in the region could be one of the contributing factors for deteriorating population growth, as it is one of the major cause of death and disability.
In 2000, the inhabitants of Kendall were widely spread out. Individuals aged between 18 and 24 years accounted for 23.3 percent, 24 and 44 years (31.8 percent), 44 and 64 years (24.9 percent, and 61 years and above (11.5 percent). The median age in the community was 37 years. Moreover, for about 100 females, the number of males was 88.5. Furthermore, in the case of 100 females aged 18 years
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Community Assessment and Diagnosis
Human life and experiences are influenced by multiple factors, and one of such factors is health. World Health Organization regards health as a state of completeness in terms of physical, mental, and social wellbeing, and not just absence of disease or infirmity (WHO 1978 cited in Funnell, Koutoukidis and Karen, 2008, p.67).
This paper explores the causes of obesity and evaluates some theoretical models of health promotion that can help people at risk of obesity manage the disease and improve their quality of life. Specifically, these health models are the Health Belief Model, the Theory of Planned Behaviour and the Holistic Health Model.
Battling Obesity People’s lifestyles have a great effect on their health. Nowadays, life is made more convenient by technology and the accessibility of basic needs. For example, instead of walking to the store to buy things, one can just call for delivery.
The 2010 census confirmed a decrease in population from 38, 977 people in 2000 to 37,699 people in ten years period. The mortality rate is also reported to be high among people aged between 25-44 years. The primary causes of death in Montclair community is excessive drug abuse, lack of adequate healthcare facilities, poor sanitation and other social amenities, HIV/AIDS epidemic and other chronic diseases such as diabetes and cancer.
Wellness Promotion Project
This paper will flow in the following order from assessing the Utica-Rome, NY community and stating a nursing diagnosis for this population, followed by a Literature Review using 10-15 scholarly sources that related to Community/Public Health closely following the Gallop Study and finally using the community assessment and literature review come up with a best in practice plan to help these people.
The data obtained through the CNA are the key component for a successful outcome, so multiple methods of obtaining different types of relevant information are used. A number of different CNA models exist, however the principles on which they are based are
health risk is that the standard BMI measure in its application to classify patients as overweight or obese does not directly measure obesity, in the sense that it does not capture aspects such as increased waist circumference.
This essentially is because, although BMI
Most obese people have an additional chronic disease such as hypertension. Childhood obesity has become rampant, with the youth now accounting for nearly half of newly diagnosed type 2 diabetes cases. Obesity is