Prediction of Mortality in Type 2 Diabetes From Health-Related Quality of Life (ZODIAC-4)
OBJECTIVE:--To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes. RESEARCH DESIGN AND METHODS--In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIA...
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| Published in | Diabetes care Vol. 31; no. 5; pp. 932 - 933 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Alexandria, VA
American Diabetes Association
01.05.2008
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| Abstract | OBJECTIVE:--To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes. RESEARCH DESIGN AND METHODS--In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications). RESULTS:--The Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966-0.992]), as were two separate RAND-36 dimensions. CONCLUSIONS:--This study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. |
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| AbstractList | To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes.
In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications).
The Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966-0.992]), as were two separate RAND-36 dimensions.
This study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. Prediction of Mortality in Type 2 Diabetes From Health-Related Quality of Life (ZODIAC-4) Nanne Kleefstra , MD 1 2 , Gijs W.D. Landman , MD 3 , Sebastiaan T. Houweling , MD, PHD 2 4 , Lielith J. Ubink-Veltmaat , MD, PHD 5 , Susan J.J. Logtenberg , MD 1 , Betty Meyboom-de Jong , MD, PHD 6 , James C. Coyne , PHD 7 , Klaas H. Groenier , PHD 6 and Henk J.G. Bilo , MD, PHD 1 8 1 Diabetes Centre, Isala Clinics, Zwolle, the Netherlands 2 Langerhans Medical Research Group, Zwolle, the Netherlands 3 Department of Internal Medicine, Isala Clinics, Zwolle, the Netherlands 4 General Practice Sleeuwijk, Sleeuwijk, the Netherlands 5 General Practice ‘t Veen, Hattem, the Netherlands 6 Department of General Practice, University of Groningen, Groningen, the Netherlands 7 Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 8 Department of Internal Medicine, University Medical Center Groningen, Groningen, the Netherlands Corresponding author: Nanne Kleefstra, Diabetes Centre, Isala Clinics, Zwolle, Netherlands. E-mail: kleefstra{at}langerhans.com Abstract OBJECTIVE —To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes. RESEARCH DESIGN AND METHODS —In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications). RESULTS —The Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966–0.992]), as were two separate RAND-36 dimensions. CONCLUSIONS —This study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. HRQOL, health-related quality of life MCS, mental component summary PCS, physical component summary ZODIAC, Zwolle Outpatient Diabetes project Integrating Available Care Footnotes Published ahead of print at http://care.diabetesjournals.org on 4 March 2008. DOI: 10.2337/dc07-2072. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C Section 1734 solely to indicate this fact. Accepted January 29, 2008. Received October 29, 2007. DIABETES CARE OBJECTIVE—To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes. RESEARCH DESIGN AND METHODS—In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications). RESULTS—The Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966–0.992]), as were two separate RAND-36 dimensions. CONCLUSIONS—This study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. OBJECTIVETo investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes.RESEARCH DESIGN AND METHODSIn 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications).RESULTSThe Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966-0.992]), as were two separate RAND-36 dimensions.CONCLUSIONSThis study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. OBJECTIVE:--To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes. RESEARCH DESIGN AND METHODS--In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications). RESULTS:--The Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966-0.992]), as were two separate RAND-36 dimensions. CONCLUSIONS:--This study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. To investigate the relationship between health-related quality of life (HRQOL) and mortality in type 2 diabetes. In 1998, 1,143 primary care patients with type 2 diabetes participated in the Zwolle Outpatient Diabetes project Integrating Available Care (ZODIAC) study. At baseline, HRQOL was assessed with the RAND-36 and, after almost 6 years, life status was retrieved. Cox proportional hazards modeling was used to investigate the association between HRQOL (continuous data) and mortality with adjustment for selected confounders (smoking, age, sex, diabetes duration, A1C, renal function, BMI, blood pressure, HDL cholesterol, and macrovascular complications). The Physical Component Summary of the RAND-36 was inversely associated with mortality (hazard ratio [HR] 0.979 [95% CI 0.966-0.992]), as were two separate RAND-36 dimensions. This study found that HRQOL is an independent marker of mortality and emphasizes the importance of looking beyond clinical parameters in patients with type 2 diabetes. |
| Audience | Professional |
| Author | Houweling, Sebastiaan T Coyne, James C Groenier, Klaas H Kleefstra, Nanne Logtenberg, Susan J.J Landman, Gijs W.D Ubink-Veltmaat, Lielith J Meyboom-de Jong, Betty Bilo, Henk J.G |
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| Cites_doi | 10.1007/s10654-006-9092-z 10.2337/diacare.27.5.1066 10.1016/j.jclinepi.2003.08.004 10.1136/bmj.316.7134.823 10.1023/A:1025369623365 10.1207/s15327558ijbm0302_2 10.1002/cncr.23080 |
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| Title | Prediction of Mortality in Type 2 Diabetes From Health-Related Quality of Life (ZODIAC-4) |
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