naaso 2005 power point

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Reduction of Risk Factors for Diabetes and Cardiovascular Disease: Results from a Novel Two- year, Employee-based Intervention Program. Robert C. Lowe 1 , Debbie Zimmerman 1 , Philip Chen 2 , and Jan Bush 3 1 Polk County School Board, Winter Haven, Florida; 2 Cognoscenti Health Institute, Orlando, Florida; and 3 RobinsonBush, Orlando, Florida. Background Diabetes and cardiovascular diseases are the two most common chronic diseases with modifiable risk factors. The prevalence of both diseases in our population is higher than the U.S. national averages. The health care costs for these employees, retirees, and dependents are substantially higher than for the balance of the insured. Purpose The purpose of the present investigation was to initiate a two-year pilot project with the goal of reducing the health care costs related to diabetes and cardiovascular disease in a group of public school employees. Methods Multiple biometric measurements to assess diabetes and cardiovascular disease risks were collected. Baseline measures included body fat percentage, blood pressure, total cholesterol, HDL-C, LDL-C, triglycerides, fasting blood sugar, Insulin Resistance Index, and homocysteine. In addition, physical activity level, family disease history, and smoking history was collected through detailed, one-on-one interviews. All measures were repeated at one year and two years. Based on the results, individuals were prescribed various interventions. Stepwise counseling and referral programs were provided following stratification of risk factors. Conclusion A favorable shift in all biometrics occurred at two years with the exception of HDL-C and Homocysteine. Furthermore, the pilot group had average per capita health claims costs $613 and $498 per year lower, respectively, than the remaining employees. This translated to savings of $1,075,202 and $823,692 in year one and year two, respectively. These data suggest that the targeted intervention programs reached their intended goals for most of the modifiable risk factors thus reducing health care costs. For further information please contact: Robert Lowe, M.A., FAACVPR [email protected] ABCs of Health Results Biometric Measures Initial Metric (2002) # % Follow-Up Metric (2003) # % Follow-Up Metric (2004) # % Percent Change Laboratory Testing n=579 n=562 Total Cholesterol >240 200-240 < 200 (84) 14.5% (176) 30.3% (319) 55.1% (72) 12.4% (171) 29.5% (336) 58.0% (58) 10.3% (138) 24.6% (366) 65.1% -28.9% -18.8% +18.1% Triglycerides >160 <160 (150) 26% (429) 74% (130) 22% (449) 78% (129) 23.0% (433) 77.0% -11.5% +4.1% LDL Cholesterol >160 130-160 <130 (75) 13.0% (128) 22.1% (376) 64.9% (64) 11.1% (129) 22.3% (386) 66.7% (45) 8.0% (97) 17.2% (420) 74.7% -38.5% -22.2% +15.1% HDL Cholesterol < 40 > 40 (71) 12.3% (508) 87.7% (74) 12.8% (505) 87.2% (98) 17.4% (464) 82.5% +41.4% -5.9% Insulin Resistance Index >3.22 2.93-3.22 <2.93 (81) 14.0% (185) 32.0% (313) 54.1% (90) 15.5% (151) 26.1% (338) 58.4% (85) 15.1% (145) 25.8% (332) 59.1% +7.9% -19.4% +9.2% Homocysteine >12.0 10.0-12.0 <10.0 (47) 8% (74) 13% (458) 79% (53) 9% (89) 15% (437) 75% (48) 8.5% (86) 15.3% (428) 76.2% +6.3% +17.6% -3.6% Non-Laboratory (ALL participants) n=1137 n=1142 n=780 Body Fat% M >25%; F >32% M <25%; F <32% (796) 70% (341) 30% (754) 66% (388) 34% (455) 59% (317) 41% -15.7% +36.7% High Blood Pressure > 140/90 < 140/90 (262) 23% (875) 77% (274) 24% (868) 76% (147) 19% (628) 81% -17.4% +5.2% Sedentary Lifestyle (Self reporting*) YES NO (489) 43% (648) 57% (251) 22% (891) 78% (204) 28% (515) 72% -35% +26% Smoking (Self Reporting*) YES NO (102) 9% (1035) 91% (80) 7% (1062) 93% (61) 8% (699) 92% -11% +1.1%

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Page 1: NAASO 2005 Power Point

Reduction of Risk Factors for Diabetes and Cardiovascular Disease: Results from a Novel Two-

year, Employee-based Intervention Program. Robert C. Lowe1, Debbie Zimmerman1, Philip Chen2, and Jan Bush3

1Polk County School Board, Winter Haven, Florida; 2Cognoscenti Health Institute, Orlando, Florida; and 3RobinsonBush, Orlando, Florida.

Background

Diabetes and cardiovascular diseases are the two most common chronic diseases with modifiable risk factors. The prevalence of both diseases in our population is higher than the U.S. national averages. The health care costs for these employees, retirees, and dependents are substantially higher than for the balance of the insured.

Purpose

The purpose of the present investigation was to initiate a two-year pilot project with the goal of reducing the health care costs related to diabetes and cardiovascular disease in a group of public school employees.

Methods

Multiple biometric measurements to assess diabetes and cardiovascular disease risks were collected. Baseline measures included body fat percentage, blood pressure, total cholesterol, HDL-C, LDL-C, triglycerides, fasting blood sugar, Insulin Resistance Index, and homocysteine. In addition, physical activity level, family disease history, and smoking history was collected through detailed, one-on-one interviews. All measures were repeated at one year and two years. Based on the results, individuals were prescribed various interventions. Stepwise counseling and referral programs were provided following stratification of risk factors.

Conclusion

A favorable shift in all biometrics occurred at two years with the exception of HDL-C and Homocysteine. Furthermore, the pilot group had average per capita health claims costs $613 and $498 per year lower, respectively, than the remaining employees. This translated to savings of $1,075,202 and $823,692 in year one and year two, respectively. These data suggest that the targeted intervention programs reached their intended goals for most of the modifiable risk factors thus reducing health care costs.

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For further information please contact:Robert Lowe, M.A., FAACVPR

[email protected]

ABCs of Health

Results

Biometric Measures Initial Metric (2002)

# %

Follow-Up Metric (2003)

# %

Follow-Up Metric (2004) # %

Percent Change

Laboratory Testing n=579 n=562 Total Cholesterol >240 200-240 < 200

(84) 14.5% (176) 30.3% (319) 55.1%

(72) 12.4% (171) 29.5% (336) 58.0%

(58) 10.3% (138) 24.6% (366) 65.1%

-28.9% -18.8% +18.1%

Triglycerides >160 <160

(150) 26% (429) 74%

(130) 22% (449) 78%

(129) 23.0% (433) 77.0%

-11.5% +4.1%

LDL Cholesterol >160 130-160 <130

(75) 13.0% (128) 22.1% (376) 64.9%

(64) 11.1% (129) 22.3% (386) 66.7%

(45) 8.0% (97) 17.2% (420) 74.7%

-38.5% -22.2% +15.1%

HDL Cholesterol < 40 > 40

(71) 12.3% (508) 87.7%

(74) 12.8% (505) 87.2%

(98) 17.4% (464) 82.5%

+41.4% -5.9%

Insulin Resistance Index >3.22 2.93-3.22 <2.93

(81) 14.0% (185) 32.0% (313) 54.1%

(90) 15.5% (151) 26.1% (338) 58.4%

(85) 15.1% (145) 25.8% (332) 59.1%

+7.9% -19.4% +9.2%

Homocysteine >12.0 10.0-12.0 <10.0

(47) 8% (74) 13% (458) 79%

(53) 9% (89) 15% (437) 75%

(48) 8.5% (86) 15.3% (428) 76.2%

+6.3% +17.6% -3.6%

Non-Laboratory (ALL participants)

n=1137

n=1142

n=780

Body Fat% M >25%; F >32% M <25%; F <32%

(796) 70% (341) 30%

(754) 66% (388) 34%

(455) 59% (317) 41%

-15.7% +36.7%

High Blood Pressure > 140/90 < 140/90

(262) 23% (875) 77%

(274) 24% (868) 76%

(147) 19% (628) 81%

-17.4% +5.2%

Sedentary Lifestyle (Self reporting*) YES NO

(489) 43% (648) 57%

(251) 22% (891) 78%

(204) 28% (515) 72%

-35% +26%

Smoking (Self Reporting*) YES NO

(102) 9% (1035) 91%

(80) 7% (1062) 93%

(61) 8% (699) 92%

-11%

+1.1%