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Get Fit New York

Get Fit New York. Objective: To provide detailed nutritional and exercise plans to obese men and women over the age of 20. Jeremy Raineri SOC-402-01 April 29, 2014. Community Need. New York has an extremely high rate of adult obesity. New Yorks obesity percentage is 24.5%.

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Get Fit New York

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  1. Get Fit New York Objective: To provide detailed nutritional and exercise plans to obese men and women over the age of 20. Jeremy Raineri SOC-402-01 April 29, 2014

  2. Community Need • New York has an extremely high rate of adult obesity. New Yorks obesity percentage is 24.5%. • Nearly 1 out of every 4 people in New York State are obese. • One American dies every 90 seconds from obesity-related health problems. • Data from Measure of America • https://www.measureofamerica.org/maps/

  3. Community need data

  4. Community Need Data

  5. Logical Approach

  6. Literature Review • More than two fifths of US adults were within normal weight range (43.1%), and more than one fifth were obese (22.2%). • Evidence implicated high rates of obesity as a significant contributor to the United States’ relatively low life expectancy among high-income countries. • Estimates indicate that about 13%–15% of all deaths in 1991 and 2000 can be attributed to obesity among adults aged 18 and older.

  7. Works Cited • Borrell L, Samuel L. Body Mass Index Categories and Mortality Risk in US Adults: The Effect of Overweight and Obesity on Advancing Death. American Journal Of Public Health [serial online]. March 2014;104(3):512-519. • Masters, R. K., Reither, E. N., Powers, D. A., Claire Yang, Y. Y., Burger, A. E., & Link, B. G. (2013). The Impact of Obesity on US Mortality Levels: The Importance of Age and Cohort Factors in Population Estimates. American Journal Of Public Health, 103(10), 1895-1901. • MEHTA, N. K., & CHANG, V. W. (2009). MORTALITY ATTRIBUTABLE TO OBESITY AMONG MIDDLE-AGED ADULTS IN THE UNITED STATES. Demography, 46(4), 851-872.

  8. Assessment • Evaluation Question: Are participants in the Get Fit New York program more likely to lose weight and decrease their risk for obesity related mortality than participants who are not enrolled in the program? • Evaluation Design: After Only with Controls • Evaluation Statistics: • CrossTab/Chi-Square • Logistic Regression—Control for Gender, ethnicity, exercise daily

  9. Data Analysis—CrossTab • Of the sampled total participants in the program (395, or 52.7% of the sample), 51.9% of the participants reported not being over weight. • Of the sampled total participants not in the program (354, or 47.2% of the sample), 44.1% of the sample reported not being over weight , a 7.8% difference.

  10. Data Analysis—Chi Square • My CrossTab test shows a significance level of .032. This indicates that test is statistically significant because it is higher than the .05 level (95th percentile).

  11. Data Analysis—Logistic Regression • After controlling for three other variables—respondents’ gender and level of exercise, ethnicity —my test was not statistically significant at the .05 level, as the significance level was .056. Thus, I cannot (statistically) conclude that my program was the direct cause of adult obese men and women losing weight over time.

  12. Sustainability • Step 1: Find estimated salaries for employees in New York fitness facilities—the site of the program. • Step 2: Convert hourly salaries into annual (estimated) by multiplying values from Step 1. • Step 3: Research average monthly rent for office space and monthly gym membership costs. • Step 4: Look up average market costs of material items. • Step 5: Create formalized budget.

  13. Step 5

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