In the subjective data it was discussed that much of the 92692 area was made up

In the subjective data it was discussed that much of

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subjective assumptions proved to be valid. In the subjective data, it was discussed that much of the 92692 area was made up of family homes. Through objective data found on City-Data, it was discovered that more than half of the homes in this community are single-family and there is a high level of homeownership. Similarly, it was also stated that this area had a low level of poverty with very minimal amount of homelessness and need for government assistance. From the objective data found on City-Data, the poverty level of this area is indeed low—4.6%, which is less than half the state and national levels (“92692 Detailed Profile”, n.d.). In addition, only 309 of 17,699 homes utilized government assistance (“92692 Detailed Profile”, n.d.). What cause-and-effect relationships did you discover/identify?Decreased levels of physical activity in adults and youths of the 92692 area, in addition with unhealthy eating habits contribute to the increased rate of obesity within this community. The average BMI for the stateis 28.1 and the average for this community is slightly higher at 28.3 (“92692 Detailed Profile”, n.d.). 2. Problem Analysis for Community/Zip Code: Problem: List two (2) problems within your community (for example, Infant Malnutrition, CVD, Lung Cancer, Obesity, Alcoholism, Violence) NOTE : These problems need to be something the Community Health Nurse can impact (for example, a CHN cannot build a sidewalk, repair a street, implement a new bus route, etc.). Remember to cite sources as appropriate. 1. _Smoking ____________________________________ 2. _Obesity ______________________________________ Select one of these problems and complete the Problem Analysis chart. Problem Correlates* Relationship of Correlate to Data Supportive of Relationship 19
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Problem + Ex. Inadequate diet Ex. Diets lacking in required nutrients contribute to malnutrition Ex. All infants and children seen at the local Public Health Clinic are referred to the nutritionist because of poor diets (X.Y. personal communication, date). Of infants measured, 60% were in the lower percent for their weight/height (X report, date). Obesity Unhealthy diets: diets lacking in proper nutrients In 92692 area, the rate of residents who consume a healthy diet is 52.3% (“92692 Detailed Profile”, n.d.) The percent of adults who consume vegetables less than one time a day is 18.6% (CDC, 2015) The percent of high school students who ate vegetables 3 or more times a day was 15.9% (CDC, 2015). Lack of exercise The percent of adults that participate in 150 minutes or more of Aerobic Physical Activity per week is 56.3% (CDC, 2015) The percent of high school students that are physically active at least 60 minutes per day on five or more days is 51.9% (CDC, 2015). * These are factors that contribute to problem and outcomes. + Refer to appropriate sections of the database and relevant research of the findings in current literature. Data in the third column could be local, state, or national statistics.
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