Can Self-Rated Health Scores Be Used for Risk Prediction in Patients With Type 2 Diabetes?

Hayes, Alison; Clarke, Philip; Glasziou, Paul; Simes, R. John; Drury, Paul; Keech, Anthony

doi:10.2337/dc07-1391

Cited by 55 publications

(63 citation statements)

References 17 publications

(5 reference statements)

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“…In the present study, SRH was based on individuals’ assessment of their health status compared with that of peers their age. Similar to our results, SRH scores provide additional valuable information for risk prediction in patients with diabetes32, and it has also been recommended as a tool for assessing cardiovascular disease risk assessment33. Thus, diabetes guidelines should extend their focus on clinical and social aspects of diabetes to include questions on patient’s SRH34.…”

Section: Discussionsupporting

confidence: 80%

A competing-risk-based score for predicting twenty-year risk of incident diabetes: the Beijing Longitudinal Study of Ageing study

Liu

Chen

Fine

et al. 2016

Sci Rep

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Few risk tools have been proposed to quantify the long-term risk of diabetes among middle-aged and elderly individuals in China. The present study aimed to develop a risk tool to estimate the 20-year risk of developing diabetes while incorporating competing risks. A three-stage stratification random-clustering sampling procedure was conducted to ensure the representativeness of the Beijing elderly. We prospectively followed 1857 community residents aged 55 years and above who were free of diabetes at baseline examination. Sub-distribution hazards models were used to adjust for the competing risks of non-diabetes death. The cumulative incidence function of twenty-year diabetes event rates was 11.60% after adjusting for the competing risks of non-diabetes death. Age, body mass index, fasting plasma glucose, health status, and physical activity were selected to form the score. The area under the ROC curve (AUC) was 0.76 (95% Confidence Interval: 0.72–0.80), and the optimism-corrected AUC was 0.78 (95% Confidence Interval: 0.69–0.87) after internal validation by bootstrapping. The calibration plot showed that the actual diabetes risk was similar to the predicted risk. The cut-off value of the risk score was 19 points, marking mark the difference between low-risk and high-risk patients, which exhibited a sensitivity of 0.74 and specificity of 0.65.

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Section: Discussionsupporting

confidence: 80%

A competing-risk-based score for predicting twenty-year risk of incident diabetes: the Beijing Longitudinal Study of Ageing study

Liu

Chen

Fine

et al. 2016

Sci Rep

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“…Diabetes complications may be a confounder for SRH and glycemic control (Nielsen et al, 2011). Higher SRH measured by a visual analog scale was associated with lower risk of diabetes complications for a large New Zealand/Australian cohort (Hayes et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Diabetes Self-Management Behaviors, Medical Care, Glycemic Control, and Self-Rated Health in U.S. Men by Race/Ethnicity

2016

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Men, particularly minorities, have higher rates of diabetes as compared with their counterparts. Ongoing diabetes self-management education and support by specialists are essential components to prevent the risk of complications such as kidney disease, cardiovascular diseases, and neurological impairments. Diabetes self-management behaviors, in particular, as diet and physical activity, have been associated with glycemic control in the literature. Recommended medical care for diabetes may differ by race/ethnicity. This study examined data from the National Health and Nutrition Examination Surveys, 2007 to 2010 for men with diabetes ( N = 646) from four racial/ethnic groups: Mexican Americans, other Hispanics, non-Hispanic Blacks, and non-Hispanic Whites. Men with adequate dietary fiber intake had higher odds of glycemic control (odds ratio = 4.31, confidence interval [1.82, 10.20]), independent of race/ethnicity. There were racial/ethnic differences in reporting seeing a diabetes specialist. Non-Hispanic Blacks had the highest odds of reporting ever seeing a diabetes specialist (84.9%) followed by White non-Hispanics (74.7%), whereas Hispanics reported the lowest proportions (55.2% Mexican Americans and 62.1% other Hispanics). Men seeing a diabetes specialist had the lowest odds of glycemic control (odds ratio = 0.54, confidence interval [0.30, 0.96]). The results of this study suggest that diabetes education counseling may be selectively given to patients who are not in glycemic control. These findings indicate the need for examining referral systems and quality of diabetes care. Future studies should assess the effectiveness of patient-centered medical care provided by a diabetes specialist with consideration of sociodemographics, in particular, race/ethnicity and gender.

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“…Recently, Hayes and collegues reported that better HRQoL as assessed by the EQ-5D Visual Analog Scale was associated with a lower risk of diabetic complications and vascular events [19]. Kleefstra and colleagues also reported that the physical component summary of the RAND-36 was inversely associated with mortality in persons with type 2 diabetes [20].…”

Section: Discussionmentioning

confidence: 99%

Are health-related quality-of-life and self-rated health associated with mortality? Insights from Translating Research Into Action for Diabetes (TRIAD)

McEwen

Kim

Haan

et al. 2009

Primary Care Diabetes

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Aims To determine if health-related quality-of-life and self-rated health are associated with mortality in persons with diabetes. Methods Survey and medical record data were obtained from 7,892 patients with diabetes in Translating Research Into Action for Diabetes (TRIAD), a multicenter prospective observational study of diabetes care in managed care. Vital status at follow-up was determined from the National Death Index. Multivariable proportional hazards models were used to determine if a generic measure of health-related quality-of-life (EQ-5D) and self-rated health measured at baseline were associated with 4-year all-cause, cardiovascular, and noncardiovascular mortality. Results At baseline, the mean EQ-5D score for decedents was 0.73 (SD=0.20) and for survivors was 0.81 (SD=0.18) (p<0.0001). Fifty-five percent of decedents and 36% of survivors (p<0.0001) rated their health as fair or poor. Lower EQ-5D scores and fair or poor self-rated health were associated with higher rates of mortality after adjusting for the demographic, socioeconomic, and clinical risk factors for mortality. Conclusions Health-related quality-of-life and self-rated health predict mortality in persons with diabetes. Health-related quality-of-life and self-rated health may provide additional information on patient risk independent of demographic, socioeconomic, and clinical risk factors for mortality.

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Can Self-Rated Health Scores Be Used for Risk Prediction in Patients With Type 2 Diabetes?

Cited by 55 publications

References 17 publications

A competing-risk-based score for predicting twenty-year risk of incident diabetes: the Beijing Longitudinal Study of Ageing study

A competing-risk-based score for predicting twenty-year risk of incident diabetes: the Beijing Longitudinal Study of Ageing study

Diabetes Self-Management Behaviors, Medical Care, Glycemic Control, and Self-Rated Health in U.S. Men by Race/Ethnicity

Are health-related quality-of-life and self-rated health associated with mortality? Insights from Translating Research Into Action for Diabetes (TRIAD)

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