Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Medicine and Health Sciences

Diabetes And Co-Morbid Depression Among Racially Diverse, Low-Income Adults, Chandra Y. Osborn, Kushal A. Patel, Jianguo Liu, Hollister W. Trott, Maciej S. Buchowski, Margaret K. Hargreaves, William J. Blot, Sarah S. Cohen, David G. Schlundt Nov 2010

Diabetes And Co-Morbid Depression Among Racially Diverse, Low-Income Adults, Chandra Y. Osborn, Kushal A. Patel, Jianguo Liu, Hollister W. Trott, Maciej S. Buchowski, Margaret K. Hargreaves, William J. Blot, Sarah S. Cohen, David G. Schlundt

Public Health, Health Administration, and Health Sciences Faculty Research

Background

Research suggests individuals with diabetes are twice as likely as those without diabetes to be clinically depressed. Still unknown is the relationship between diabetes and depression in socioeconomically disadvantaged populations. Purpose

We examined the relationship between diabetes and depressive symptoms in a large, racially diverse, low-income cohort in the southeastern USA. Methods

A total of 69,068 adults were recruited from community health centers in 12 southeastern states. A fully adjusted polytomous logistic regression model tested the relationship between demographics, lifestyle behaviors, antidepressant use, body mass index, diabetes diagnosis, diabetes duration, diabetes medication compliance, and depressive symptoms using the Centers …


Glycemic Control: Risk Factors, Quality Of Life, Workforce Participation, And Mortality Among Us Adults With Type 2 Diabetes, Evelyn P. Davila Mar 2010

Glycemic Control: Risk Factors, Quality Of Life, Workforce Participation, And Mortality Among Us Adults With Type 2 Diabetes, Evelyn P. Davila

FIU Electronic Theses and Dissertations

Despite research showing the benefits of glycemic control, it remains suboptimal among adults with diabetes in the United States. Possible reasons include unaddressed risk factors as well as lack of awareness of its immediate and long term consequences. The objectives of this study were to, using cross-sectional data, 1) ascertain the association between suboptimal (Hemoglobin A1c (HbA1c) ≥7%), borderline (HbA1c 7-8.9%), and poor (HbA1c ≥9%) glycemic control and potentially new risk factors (e.g. work characteristics), and 2) assess whether aspects of poor health and well-being such as poor health related quality of life (HRQOL), unemployment, and missed-work are associated with …


Diabetes Obesity-Wellness Opportunity Program (Dowop) Evaluation, Francis Banahene Jan 2010

Diabetes Obesity-Wellness Opportunity Program (Dowop) Evaluation, Francis Banahene

Master of Public Health Program Student Publications

The aim of the study was to evaluate Diabetes Obesity - Wellness Opportunities Program (DOWOP) for overweight and obese adolescents aged eight to 14 years.

The study was conducted over 14 weeks at Victor J. Cassano, Sr. Health Center in Dayton, Ohio. Thirteen weekly nutrition, exercise and cognitive presentations were held. Cooking class was held on week thirteen. Participants completed food and activity diaries. The program sessions focused on healthy eating, increasing physical activity, decreasing sedentary behavior and supporting participants maintain healthy lifestyle.

Nurses recorded BMI and waist circumference at baseline, week 7 and week 14. Program administrators were interviewed …


Associations Between Mental Health And Diabetes: Findings From The South Carolina Medicaid Managed Care Program In 2006-2008, Ana Lopez-De Fede, James W. Hardin, Kathy L. Mayfield-Smith, Qiduan Liu Jan 2010

Associations Between Mental Health And Diabetes: Findings From The South Carolina Medicaid Managed Care Program In 2006-2008, Ana Lopez-De Fede, James W. Hardin, Kathy L. Mayfield-Smith, Qiduan Liu

Publications

Objectives: To assess differences in services associated with mental health status and prescriptions among Medicaid patients diagnosed with diabetes mellitus. Design: Secondary data analyses of South Carolina (SC) Medicaid enrollees. Participants: SC Medicaid enrollees with a diagnosis of diabetes mellitus (N5555) continuously enrolled in either managed care (MC) or fee for service (FFS) programs between 2006 and 2008. Main Outcome Measures: Health Plan Employer Data and Information Set (HEDIS)- based diabetes management service outcomes including: 1) whether the recipient received a nephrology exam; 2) the number of eye exams received; 3) the number of low-density lipoprotein cholesterol services received; and …