Janice C Zgibor

Summary

Affiliation: University of Pittsburgh
Country: USA

Publications

  1. ncbi request reprint Developing and validating a diabetes database in a large health system
    Janice C Zgibor
    University of Pittsburgh, Department of Epidemiology, Graduate School of Public Health, Pittsburgh, United States
    Diabetes Res Clin Pract 75:313-9. 2007
  2. ncbi request reprint Using the American Association of Diabetes Educators Outcomes System to identify patient behavior change goals and diabetes educator responses
    Janice C Zgibor
    Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Diabetes Educ 33:839-42. 2007
  3. doi request reprint Impact of patient level factors on the improvement of the ABCs of diabetes
    Gretchen A Piatt
    Division of Endocrinology and Metabolism, University of Pittsburgh, PA, USA
    Patient Educ Couns 82:266-70. 2011
  4. ncbi request reprint Translating the chronic care model into the community: results from a randomized controlled trial of a multifaceted diabetes care intervention
    Gretchen A Piatt
    Department of Epidemiology, University of Pittsburgh, PA 15213, USA
    Diabetes Care 29:811-7. 2006
  5. pmc Cost-effectiveness of implementing the chronic care model for diabetes care in a military population
    Shihchen Kuo
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    J Diabetes Sci Technol 5:501-13. 2011
  6. ncbi request reprint The Diabetes Self-management Assessment Report Tool (D-SMART): process evaluation and patient satisfaction
    Denise Charron-Prochownik
    Health Promotion and Development, School of Nursing, 440 Victoria Building, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Diabetes Educ 33:833-8. 2007
  7. doi request reprint 3-year follow-up of clinical and behavioral improvements following a multifaceted diabetes care intervention: results of a randomized controlled trial
    Gretchen A Piatt
    Gretchen A Piatt, MPH, 4601 Baum Blvd, Pittsburgh, PA 15213, USA
    Diabetes Educ 36:301-9. 2010
  8. ncbi request reprint Cardiovascular disease risk prediction in type 1 diabetes: accounting for the differences
    Kristine Ruppert
    Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States
    Diabetes Res Clin Pract 78:234-7. 2007
  9. ncbi request reprint Implementing the chronic care model for improvements in diabetes care and education in a rural primary care practice
    Linda M Siminerio
    Department of Medicine, Division of Endocrinology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Diabetes Educ 31:225-34. 2005
  10. pmc Development of a coronary heart disease risk prediction model for type 1 diabetes: the Pittsburgh CHD in Type 1 Diabetes Risk Model
    Janice C Zgibor
    University of Pittsburgh, Department of Epidemiology, Graduate School of Public Health, USA
    Diabetes Res Clin Pract 88:314-21. 2010

Detail Information

Publications31

  1. ncbi request reprint Developing and validating a diabetes database in a large health system
    Janice C Zgibor
    University of Pittsburgh, Department of Epidemiology, Graduate School of Public Health, Pittsburgh, United States
    Diabetes Res Clin Pract 75:313-9. 2007
    ..Most registries are built based on membership with an insurer or other selection criteria. Little, if any data exist on registries representing demographically heterogeneous populations...
  2. ncbi request reprint Using the American Association of Diabetes Educators Outcomes System to identify patient behavior change goals and diabetes educator responses
    Janice C Zgibor
    Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Diabetes Educ 33:839-42. 2007
    ....
  3. doi request reprint Impact of patient level factors on the improvement of the ABCs of diabetes
    Gretchen A Piatt
    Division of Endocrinology and Metabolism, University of Pittsburgh, PA, USA
    Patient Educ Couns 82:266-70. 2011
    ..To determine which patient factors contribute to improvements in the ABCs of diabetes following a multi-faceted diabetes care intervention...
  4. ncbi request reprint Translating the chronic care model into the community: results from a randomized controlled trial of a multifaceted diabetes care intervention
    Gretchen A Piatt
    Department of Epidemiology, University of Pittsburgh, PA 15213, USA
    Diabetes Care 29:811-7. 2006
    ..To determine whether using the chronic care model (CCM) in an underserved community leads to improved clinical and behavioral outcomes for people with diabetes...
  5. pmc Cost-effectiveness of implementing the chronic care model for diabetes care in a military population
    Shihchen Kuo
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    J Diabetes Sci Technol 5:501-13. 2011
    ..The CCM was implemented at U.S. Air Force Wilford Hall Medical Center through the Diabetes Outreach Clinic (DOC) in 2006, but its cost-effectiveness in this setting is unknown...
  6. ncbi request reprint The Diabetes Self-management Assessment Report Tool (D-SMART): process evaluation and patient satisfaction
    Denise Charron-Prochownik
    Health Promotion and Development, School of Nursing, 440 Victoria Building, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Diabetes Educ 33:833-8. 2007
    ....
  7. doi request reprint 3-year follow-up of clinical and behavioral improvements following a multifaceted diabetes care intervention: results of a randomized controlled trial
    Gretchen A Piatt
    Gretchen A Piatt, MPH, 4601 Baum Blvd, Pittsburgh, PA 15213, USA
    Diabetes Educ 36:301-9. 2010
    ..The purpose of this study was to determine if improvements observed in clinical, behavioral, and psychosocial outcomes measured at 12 months following a multifaceted diabetes care intervention were sustained at 3-year follow-up...
  8. ncbi request reprint Cardiovascular disease risk prediction in type 1 diabetes: accounting for the differences
    Kristine Ruppert
    Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States
    Diabetes Res Clin Pract 78:234-7. 2007
    ..005), non-HDLc (p=0.0005), WHR (p=0.003), and estimated glucose disposal rate (p=0.002) were associated. Risk factors not considered by the Framingham risk equation may account for the lack of fit and should be examined further...
  9. ncbi request reprint Implementing the chronic care model for improvements in diabetes care and education in a rural primary care practice
    Linda M Siminerio
    Department of Medicine, Division of Endocrinology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Diabetes Educ 31:225-34. 2005
    ....
  10. pmc Development of a coronary heart disease risk prediction model for type 1 diabetes: the Pittsburgh CHD in Type 1 Diabetes Risk Model
    Janice C Zgibor
    University of Pittsburgh, Department of Epidemiology, Graduate School of Public Health, USA
    Diabetes Res Clin Pract 88:314-21. 2010
    ..To create a coronary heart disease (CHD) risk prediction model specific to type 1 diabetes...
  11. ncbi request reprint Influences on screening for chronic diabetes complications in type 1 diabetes
    Rashida R Dorsey
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    Dis Manag 9:93-101. 2006
    ..Our data indicate that efforts to rectify this should focus on men and those who do not monitor blood glucose, and should involve primary care practitioners...
  12. pmc Cost-effectiveness analysis of efforts to reduce risk of type 2 diabetes and cardiovascular disease in southwestern Pennsylvania, 2005-2007
    Kenneth J Smith
    University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Prev Chronic Dis 7:A109. 2010
    ..We assessed the cost-effectiveness of a community-based, modified Diabetes Prevention Program (DPP) designed to reduce risk factors for type 2 diabetes and cardiovascular disease...
  13. ncbi request reprint Deficiencies of cardiovascular risk prediction models for type 1 diabetes
    Janice C Zgibor
    Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, USA
    Diabetes Care 29:1860-5. 2006
    ..Therefore, our objective was to examine the accuracy of Framingham and UKPDS models for predicting coronary heart disease (CHD) in a type 1 diabetic cohort...
  14. ncbi request reprint Antioxidants and coronary artery disease among individuals with type 1 diabetes: Findings from the Pittsburgh Epidemiology of Diabetes Complications Study
    Tina Costacou
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
    J Diabetes Complications 20:387-94. 2006
    ..Oxidative stress has been implicated in the development of diabetes and cardiovascular disease. We evaluated the effect of serum antioxidants and total antioxidant reserve (TAR) on coronary artery disease (CAD) incidence in type 1 diabetes...
  15. ncbi request reprint Deploying the chronic care model to implement and sustain diabetes self-management training programs
    Linda M Siminerio
    University of Pittsburgh Diabetes Institute, University of Pittsburgh Medical Center, PA, USA
    Diabetes Educ 32:253-60. 2006
    ....
  16. doi request reprint Translating the Diabetes Prevention Program into an urban medically underserved community: a nonrandomized prospective intervention study
    Miriam C Seidel
    University of Pittsburgh Medical Center, Braddock, Pennsylvania, USA
    Diabetes Care 31:684-9. 2008
    ....
  17. pmc Changes in cholesterol-lowering medications use over a decade in community-dwelling older adults
    Wei Hsuan Lo-Ciganic
    School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
    Ann Pharmacother 47:984-92. 2013
    ..The impact of evidence-based guidelines and controlled trial data on use of cholesterol-lowering medications in older adults is unclear...
  18. pmc Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model
    Weihsuan Lo-Ciganic
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    J Diabetes Sci Technol 5:486-93. 2011
    ..To date, few administrative diabetes mellitus (DM) registries have distinguished type 1 diabetes mellitus (T1DM) from type 2 diabetes mellitus (T2DM)...
  19. ncbi request reprint Markers of endothelial dysfunction in the prediction of coronary artery disease in type 1 diabetes. The Pittsburgh Epidemiology of Diabetes Complications Study
    Tina Costacou
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
    J Diabetes Complications 19:183-93. 2005
    ..13, 95% Cl=1.03-1.24; HRs are per standard deviation increase) but not hard CAD. Study results suggest that E-selectin may enhance CAD prediction beyond traditional risk factors or markers of oxidative stress in Type 1 diabetes...
  20. doi request reprint Effects of depression and antidepressant use on goal setting and barrier identification among patients with type 2 diabetes
    Hsiang Yu Chen
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Diabetes Educ 37:370-80. 2011
    ..The purpose of this study was to examine the effects of depression and antidepressant use on goal setting and barrier identification in patients with type 2 diabetes...
  21. ncbi request reprint Can 8-hydroxy-2'-deoxyguanosine be used to assess oxidative stress caused by particulate matter air pollution in the general population?
    Stacey M Benson
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA, 15261, USA
    Int J Public Health 58:695-705. 2013
    ..Assess the association between 8-hydroxy-2'-deoxyguanosine (8OHdG) levels and particulate matter air pollution in non-occupational exposure groups from peer-reviewed literature...
  22. pmc Aspirin, nonaspirin nonsteroidal anti-inflammatory drugs, or acetaminophen and risk of ovarian cancer
    Wei Hsuan Lo-Ciganic
    Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Epidemiology 23:311-9. 2012
    ..Aspirin, nonaspirin nonsteroidal anti-inflammatory drugs (NA-NSAIDs) and acetaminophen all have biologic effects that might reduce the risk of ovarian cancer. However, epidemiologic data on this question are mixed...
  23. ncbi request reprint Diabetes: a growing epidemic of all ages
    Paul A Moore
    Department of Dental Public Health, Oral Health Science Institute, University of Pittsburgh, School of Dental Medicine, PA 15261, USA
    J Am Dent Assoc 134:11S-15S. 2003
    ..Despite greater knowledge of the disease, one-third of people with the disease are undiagnosed. Recent estimates indicate that one in three U.S. children born in 2000 will develop diabetes...
  24. ncbi request reprint Novel approaches to diabetes care: a population perspective
    Gretchen A Piatt
    University of Pittsburgh Diabetes Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
    Curr Opin Endocrinol Diabetes Obes 14:158-65. 2007
    ....
  25. ncbi request reprint Has control of hypercholesterolemia and hypertension in type 1 diabetes improved over time?
    Janice C Zgibor
    Department of Epidemiology, University of Pittsburgh, PA, USA
    Diabetes Care 28:521-6. 2005
    ..To determine the extent to which patients' awareness, treatment, and control of hypertension and hypercholesterolemia have changed over time and to examine factors associated with awareness and treatment in a type 1 diabetes population...
  26. pmc The association between driving distance and glycemic control in rural areas
    Janice C Zgibor
    Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    J Diabetes Sci Technol 5:494-500. 2011
    ..In the future, it may be useful to minimize driving distance for individuals with diabetes, perhaps by improved public transportation, more diabetes center locations in rural areas, telemedicine, or home visits...
  27. ncbi request reprint Improving the quality of diabetes care in primary care practice
    Janice C Zgibor
    Department of Epidemiology, University of Pittsburgh, PA, USA
    J Healthc Qual 26:14-21. 2004
    ..5% had >2 HbA1cs, 93.6% had lipid profiles, and 100% had foot examinations. Improvements in HbA1c (9.0% to 7.7%) were observed. Implementation of DDMP effectively promotes compliance with care standards in primary care practices...
  28. ncbi request reprint ACE inhibitors and calcium channel blockers: patterns of use and associations with mortality in type 1 diabetes
    Brad A Sobolewski
    University of Pittsburgh School of Medicine, 3512 5th Avenue, Pittsburgh, PA 15213, USA
    Diabetes Res Clin Pract 65:37-43. 2004
    ..To determine the frequency of ACE-I and Calcium channel blockers (CCB) use in type 1 diabetes (T1D), and associations of these medications with mortality...
  29. ncbi request reprint Barriers to blood glucose monitoring in a multiethnic community
    Janice C Zgibor
    Department of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
    Diabetes Care 25:1772-7. 2002
    ..We studied a multiethnic community to determine factors associated with blood glucose monitoring (BGM) and to determine the independent association between barriers to diabetes care and BGM...
  30. ncbi request reprint Influence of health care providers on the development of diabetes complications: long-term follow-up from the Pittsburgh Epidemiology of Diabetes Complications Study
    Janice C Zgibor
    Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA
    Diabetes Care 25:1584-90. 2002
    ..To quantify total diabetes care received (generalist or specialist) from diagnosis onward and its association with the incidence of diabetes complications in a representative cohort of patients with type 1 diabetes...
  31. ncbi request reprint Late diabetes complications and non-dipping phenomenon in patients with Type 1 diabetes
    Peter Stella
    4th Department of Medicine, St Imre Hospital, Budapest, Hungary
    Diabetes Res Clin Pract 71:14-20. 2006
    ..Previous analyses also suggest however that nephropathy is a major predictor of subsequent CAN...