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Data from participants in Athens CHIP classes from May 2011 to present will be analyzed to evaluate the differences in outcomes based on: 1) gender, 2) age, 3) whether a household member participated in the class with them.
Participants had health screens before and after completing the class. The data from the health screens that will be utilized for comparison will include: body mass index (BMI), blood pressure, and fasting blood sugar and lipid levels.
Identified data will be provided to the PI from Live Healthy Appalachia/CHIP on a flash drive. This data will be password protected by the research team. The data will consist of two different databases, 1) identifiers with health screen results, 2) identifiers with demographics (age, gender, household member in class). The researchers need data from both databases for this study. Each participant has been assigned a unique participant number by CHIP.
The databases will be combined by the research team, allowing the demographics to be matched to the biomarkers. The unique CHIP identifier will be maintained as a participant ID, while all other identifying data will then be deleted from the database.
The data will then be analyzed for relationships by a statistician.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| The Complete Health Improvement Program | Experimental | Participants in The Complete Health Improvement Program |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| The Complete Health Improvement Program | Behavioral | CHIP focuses on food, diet, activity, exercise, stress management, by viewing videos, cooking demonstrations, discussion, and exercise. Intervention nurtures intelligent self-care through enhanced understanding of the epidemiology, etiology, and risk factors associated with chronic lifestyle related diseases. The primary focus is the consumption of plant-based whole foods, such as fresh fruits, vegetables, whole grains, legumes, and nuts. The goal was to keep dietary fat below 20% of total calories, daily intake of added sugar below 10 tsps, sodium below 2,000 mg, and cholesterol below 50 mg. High fiber food intake (>35 g/day) is encouraged, and flexibility exercises, a daily walk of 30 minutes or 10,000 steps and daily use of stress management techniques. |
| Measure | Description | Time Frame |
|---|---|---|
| Weight | Weight | 4 months |
| Measure | Description | Time Frame |
|---|---|---|
| Blood Pressure | Blood Pressure | 4 months |
| Fasting Lipid Profile | Fasting Lipid Profile | 4 months |
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Inclusion Criteria:
Exclusion Criteria: none
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| Name | Affiliation | Role |
|---|---|---|
| David S Drozek, DO | Ohio University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ohio University | Athens | Ohio | 45701 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 21944675 | Result | Rankin P, Morton DP, Diehl H, Gobble J, Morey P, Chang E. Effectiveness of a volunteer-delivered lifestyle modification program for reducing cardiovascular disease risk factors. Am J Cardiol. 2012 Jan 1;109(1):82-6. doi: 10.1016/j.amjcard.2011.07.069. Epub 2011 Sep 23. | |
| 26830523 | Result | Leibold C, Shubrook JH, Nakazawa M, Drozek D. Effectiveness of the Complete Health Improvement Program in Reducing Risk Factors for Cardiovascular Disease in an Appalachian Population. J Am Osteopath Assoc. 2016 Feb;116(2):84-91. doi: 10.7556/jaoa.2016.020. |
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| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D003920 | Diabetes Mellitus |
| D006973 | Hypertension |
| D050171 | Dyslipidemias |
| D050177 | Overweight |
| D009765 | Obesity |
| D009043 | Motor Activity |
| D003075 | Coitus |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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|
| Fasting Glucose | Fasting Glucose | 4 months |
| 26618437 | Result | Vogelgesang J, Drozek D, Nakazawa M, Shubrook JH. Payer source influence on effectiveness of lifestyle medicine programs. Am J Manag Care. 2015 Sep 1;21(9):e503-8. |
| 24527219 | Result | Drozek D, Diehl H, Nakazawa M, Kostohryz T, Morton D, Shubrook JH. Short-term effectiveness of a lifestyle intervention program for reducing selected chronic disease risk factors in individuals living in rural appalachia: a pilot cohort study. Adv Prev Med. 2014;2014:798184. doi: 10.1155/2014/798184. Epub 2014 Jan 16. |
| 25476714 | Result | Kent LM, Morton DP, Rankin PM, Mitchell BG, Chang E, Diehl H. Gender differences in effectiveness of the Complete Health Improvement Program (CHIP) lifestyle intervention: an Australasian study. Health Promot J Austr. 2014 Dec;25(3):222-9. doi: 10.1071/HE14041. |
| D014652 | Vascular Diseases |
| D052439 | Lipid Metabolism Disorders |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001519 | Behavior |
| D012725 | Sexual Behavior |