Long-Term Cardiovascular Risk in Type 2 Diabetic Compared With Nondiabetic First Acute Myocardial Infarction Patients: A population-based cohort study in southern Europe

OBJECTIVE

The aim of this study was to determine whether long-term cardiovascular risk differs in type 2 diabetic patients compared with first acute myocardial infarction patients in a Mediterranean region, considering therapy, diabetes duration, and glycemic control.

RESEARCH DESIGN AND METHODS

A prospective population-based cohort study with 10-year follow-up was performed in 4,410 patients aged 30–74 years: 2,260 with type 2 diabetes without coronary heart disease recruited in 53 primary health care centers and 2,150 with first acute myocardial infarction without diabetes recruited in 10 hospitals. We compared coronary heart disease incidence and cardiovascular mortality rates in myocardial infarction patients and diabetic patients, including subgroups by diabetes treatment, duration, and A1C.

RESULTS

The adjusted hazard ratios (HRs) for 10-year coronary heart disease incidence and for cardiovascular mortality were significantly lower in men and women with diabetes than in myocardial infarction patients: HR 0.54 (95% CI 0.45–0.66) and 0.28 (0.21–0.37) and 0.26 (0.19–0.36) and 0.16 (0.10–0.26), respectively. All diabetic patient subgroups had significantly fewer events than myocardial infarction patients: the HR of cardiovascular mortality ranged from 0.15 (0.09–0.26) to 0.36 (0.24–0.54) and that of coronary heart disease incidence ranged from 0.34 (0.26–0.46) to 0.56 (0.43–0.72).

CONCLUSIONS

Lower long-term cardiovascular risk was found in type 2 diabetic and all subgroups analyzed compared with myocardial infarction patients. These results do not support equivalence in coronary disease risk for diabetic and myocardial infarction patients.The prevalence of diabetes is reaching epidemic proportions in developed countries (1). For example, the U.S. has 18 million diabetic patients, Spain has >2 million diabetic patients, and management of the disease costs >$132 and >$3.3 billion per year, respectively (2).Some studies (3–5), several of them with great influence on important guidelines for cardiovascular prevention (3), suggest that the cardiovascular risk of diabetic patients is similar to that of coronary heart disease secondary prevention patients. Other reports, however, do not confirm these observations (6–10).Part of the discrepancy may stem from differences in the duration of diabetes, type of treatment, and baseline glucose control of diabetic patients included in the studies (3–5). These limit comparability, given the fact that time of evolution and treatment required to attain appropriate glycemic control are key determinants of prognosis (10–16).Among population-based cohort studies that compared the prognosis of diabetic patients with that of myocardial infarction patients without diabetes (3–10), only two analyzed the role of diabetes duration (11,12). Even these studies did not include unstable angina among the end points and risk was not stratified by type of treatment. To our knowledge, the effect of type 2 diabetes on coronary heart disease incidence has barely been studied in southern Europe, a region known for low cardiovascular mortality (17). The aim of this study was to determine whether long-term cardiovascular risk differed between type 2 diabetic patients and first acute myocardial infarction patients and to assess the influence of diabetes duration, type of treatment, and glycemic control at baseline.     

Depressive Symptoms and Risk of Type 2 Diabetes in a National Sample of Middle-Aged and Older Adults: The English Longitudinal Study of Aging

OBJECTIVE

To examine the association between baseline elevated depressive symptoms and incident type 2 diabetes in a national sample of people aged ≥50 years.

RESEARCH DESIGN AND METHODS

The sample consisted of 6,111 individuals free from self-reported doctor-diagnosed diabetes at baseline in 2002–2003. The eight-item Center for Epidemiological Studies–Depression (CES-D) scale was the measurement of depressive symptoms. Cox proportional hazards regression models were used to assess whether baseline elevated (≥4) depressive symptoms were associated with a higher risk of type 2 diabetes over 45.8 months of follow-up.

RESULTS

The hazard ratio (HR) for diabetes was 1.62 (95% CI 1.15–2.29) in a model adjusted for age, sex, marital status, education, total net household wealth, cardiovascular and psychiatric and other noncardiovascular comorbidities, BMI, and health behaviors for participants with elevated CES-D symptoms compared with those without. Complementary analysis performed for a subsample (n = 5,090) showed that additional adjustment of this model for use of antidepressants did not explain the association (HR 1.58, 95% CI 1.09–2.29).

CONCLUSIONS

Elevated depressive symptoms were associated with a higher risk of developing type 2 diabetes after accounting for sociodemographic, lifestyle, and clinical factors in a national sample of people aged ≥50 years.Depression is a known comorbid condition of diabetes. Individuals with diabetes have increased odds of being depressed and consistently higher prevalence rates of depression than their counterparts without diabetes (1). An accumulating body of research shows that type 2 diabetes is a risk factor for recurrent depression (2), but longitudinal studies also suggest that depression and elevated depressive symptoms are related to subsequent incidence of diabetes (3–10). Two recent meta-analyses of longitudinal studies suggest that depression is associated with a 40–60% increased risk of developing type 2 diabetes (11,12). The etiology and pathogenic mechanism of this association is poorly understood. It has been suggested that unhealthy behaviors (i.e., physical inactivity and smoking), obesity, and use of psychotropic medication may be parts of the causal pathway linking depression to type 2 diabetes (3,11,13).The majority of previous longitudinal studies on the association between depressive symptoms and incident diabetes have not accounted adequately for socioeconomic status (SES), and therefore their results might be biased because of residual confounding. They have also generally failed to account for baseline comorbidities such as cardiovascular, noncardiovascular, and psychiatric diseases, which might explain the association between depression and diabetes. Moreover, more research is needed on the use of antidepressants and other psychotropic medication as a depression-related risk factor for diabetes in older samples, since evidence on this issue is conflicting (6,8,9,14).We used data from the English Longitudinal Study of Aging (ELSA), a national prospective cohort study of community-dwelling middle-aged and older men and women, to examine whether baseline elevated depressive symptoms measured by the Center for Epidemiological Studies–Depression (CES-D) scale were associated with a higher risk of developing type 2 diabetes. We adjusted for a wide range of potential confounders including education and wealth as markers of SES and baseline comorbidities including psychiatric diseases. We then explored whether health behaviors, BMI, and use of antidepressants or other psychotropic medication mediated the association between elevated baseline depressive symptoms and incident type 2 diabetes.     

Dietary Patterns and Risk for Diabetes: The Multiethnic Cohort

OBJECTIVE

The high diabetes incidence among Japanese Americans and Native Hawaiians cannot be explained by BMI. Therefore, we examined the influence of three dietary patterns of “fat and meat,” “vegetables,” and “fruit and milk” on diabetes risk in the Hawaii component of the Multiethnic Cohort with 29,759 Caucasians, 35,244 Japanese Americans, and 10,509 Native Hawaiians.

RESEARCH DESIGN AND METHODS

Subjects aged 45–75 years completed a baseline food frequency questionnaire. After 14 years of follow-up, 8,587 subjects with incident diabetes were identified through self-reports or health plan linkages. Risk was assessed using Cox regression stratified by age and adjusted for ethnicity, BMI, physical activity, education, total energy, smoking, alcohol intake, marital status, and hypertension.

RESULTS

Fat and meat was significantly associated with diabetes risk in men (hazard ratio 1.40 [95% CI 1.23–1.60], P_trend < 0.0001) and women (1.22 [1.06–1.40], P_trend = 0.004) when extreme quintiles were compared. Except in Hawaiian women, the magnitude of the risk was similar across ethnic groups although not always significant. After stratification by BMI, fat and meat remained a predictor of disease primarily among overweight men and among overweight Japanese women. Vegetables lowered diabetes risk in men (0.86 [0.77–0.95], P_trend = 0.004) but not in women, whereas fruit and milk seemed to be more beneficial in women (0.85 [0.76–0.96], P_trend = 0.005) than in men (0.92 [0.83–1.02], P_trend = 0.04).

CONCLUSIONS

Foods high in meat and fat appear to confer a higher diabetes risk in all ethnic groups, whereas the effects of other dietary patterns vary by sex and ethnicity.Native Hawaiians have extremely high rates of obesity and diabetes, but despite their relatively low body weight, individuals with Japanese ancestry are also disproportionately affected by diabetes (1). Among the >44,000 Japanese Americans, 14,000 Native Hawaiians, and 35,000 Caucasians in the Hawaii component of the Multiethnic Cohort (MEC), a previous analysis had found diabetes incidence rates of 15.5, 12.5, and 5.8 per 1,000 person-years, respectively, that could not be explained by BMI (2). Dietary patterns have been identified as additional predictors of disease but have only rarely been investigated prospectively among non-Caucasian populations (3–5). The most commonly identified patterns are the so-called “western,” “unhealthy,” or “conservative” pattern (3–11), which is high in meat, high-fat foods, and sweets, and the “prudent” or “healthy” pattern, rich in fruit and vegetables (3–8,10,12,13). With the goal to contribute to the prevention of diabetes, we examined the effect of three dietary patterns, “fat and meat,” “vegetables,” and “fruit and milk,” which had been previously identified in the MEC, on diabetes risk (14).     

Sex and Racial/Ethnic Differences in Cardiovascular Disease Risk Factor Treatment and Control Among Individuals With Diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA)

OBJECTIVE

To examine sex and racial/ethnic differences in cardiovascular risk factor treatment and control among individuals with diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA).

RESEARCH DESIGN AND METHODS

This study was an observational study examining mean levels of cardiovascular risk factors and proportion of subjects achieving treatment goals.

RESULTS

The sample included 926 individuals with diabetes. Compared with men, women were 9% less likely to achieve LDL cholesterol <130 mg/dl (adjusted prevalence ratio 0.91 [0.83–0.99]) and systolic blood pressure (SBP) <130 mmHg (adjusted prevalence ratio 0.91 [0.85–0.98]). These differences diminished over time. A lower percentage of women used aspirin (23 vs. 33%; P < 0.001). African American and Hispanic women had higher mean levels of SBP and lower prevalence of aspirin use than non-Hispanic white women.

CONCLUSIONS

Women with diabetes had unfavorable cardiovascular risk factor profiles compared with men. African American and Hispanic women had less favorable profiles than non-Hispanic white women.Population-based health survey data suggest that sex and racial/ethnic disparities are present in diabetes process of care measures and cardiovascular risk factor control (1–9). Available data also indicate that sex-specific race/ethnicity differences are present in cardiovascular risk factor control, but these data are limited to Medicare and Veterans'' Hospital patient populations (5,10–13). We therefore performed analyses of participants with diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA) to examine sex and sex-specific racial/ethnic differences in cardiovascular risk factor treatment and control.     

Childhood and Adult Secondhand Smoke and Type 2 Diabetes in Women

OBJECTIVE

The objective of this study was to evaluate the relationship between childhood and adult secondhand smoke and type 2 diabetes.

RESEARCH DESIGN AND METHODS

We conducted a prospective cohort study among 37,343 French women from the E3N-EPIC (Etude Epidémiologique auprès des femmes de la Mutuelle Générale de l’Education Nationale-European Prospective Investigation into Cancer and Nutrition) who never smoked and who were free of type 2 diabetes, cancer, or cardiovascular disease at baseline in 1992. Self-reported childhood secondhand smoke exposure was defined as having at least one parent who smoked. Adult secondhand smoke was defined as the sum of self-reported hours recorded at baseline of exposure to tobacco smoke from a spouse who smoked (or domestic close contact) and from outside the home.

RESULTS

Between 1992 and 2007, 795 cases of incident type 2 diabetes were identified and validated through a drug reimbursement dataset and a specific questionnaire. Women with at least one parent who smoked appeared to have an 18% higher rate of type 2 diabetes than women with parents who did not smoke (age-adjusted hazard ratio 1.18 [95% CI 1.02–1.36]). Adult secondhand smoke exposure (no exposure versus ≥4 h/day) was associated with an increased rate of type 2 diabetes (1.36 [1.05–1.77], P = 0.002 for trend) after adjusting for parental history of diabetes, education, body silhouette at age 8, childhood secondhand smoke exposure, physical activity, body mass index, hypertension, hypercholesterolemia, menopausal status and hormone use, alcohol intake, and processed red meat and coffee consumption.

CONCLUSIONS

This prospective analysis suggests that secondhand smoke exposure in childhood and adulthood are associated with a higher rate of type 2 diabetes.It is estimated that 603,000 nonsmokers worldwide die of exposure to secondhand smoke (1). Even after evidence from the United States and Western Europe that smoke-free legislation lowers acute myocardial infarction rates (2,3), national comprehensive policies for smoke-free environments are still lacking in many countries. Twenty-two U.S. states and 13 European Union member states still do not have smoking bans in public places (4,5). In some U.S. states, up to 18% of children are regularly exposed to secondhand smoke (6), and even in countries where tobacco bans have been in place, secondhand smoke exposure among nonsmokers may be as high as 30% (7).Prospective studies have consistently observed a direct relationship between tobacco smoking and type 2 diabetes (8). According to animal models, tobacco smoke exposure results in chronic pancreatic inflammation (9) and affects weight gain and glucose metabolism (10,11). In humans, secondhand smoke is associated with obesity (12) and insulin resistance (13) in children who were exposed early in life. Consequently, exposure to secondhand tobacco smoke may play a role in childhood obesity and in the 1 million deaths in North America and Europe attributable to type 2 diabetes (14). Thus, limiting secondhand smoke exposure in the population may have a positive impact on this worldwide epidemic.Few studies evaluated the role of secondhand smoke on incident type 2 diabetes (15–19). These analyses had limited detail on exposure, did not account for important type 2 diabetes risk factors, or had insufficient follow-up. Therefore, we evaluated secondhand smoke exposure in relation to incident type 2 diabetes in a large prospective cohort of French women who were nonsmokers and who responded to a detailed questionnaire on childhood and current exposure to secondhand tobacco smoke and were followed for up to 15 years.     

Physical Activity, Adiposity, and Diabetes Risk in Middle-Aged and Older Chinese Population: The Guangzhou Biobank Cohort Study

OBJECTIVE

Physical activity may modify the association of adiposity with type 2 diabetes. We investigated the independent and joint association of adiposity and physical activity with fasting plasma glucose, impaired fasting glucose, and type 2 diabetes in a Chinese population.

RESEARCH DESIGN AND METHODS

Middle-aged and older Chinese (n = 28,946, ≥50 years, 72.4%women) from the Guangzhou Biobank Cohort Study were examined in 2003–2008. Multivariable regression was used in a cross-sectional analysis.

RESULTS

BMI, waist circumference, and waist-to-hip ratio (WHR) were positively associated with type 2 diabetes after multiple adjustment, most strongly for WHR with odds ratio (OR) of 3.99 (95% CI 3.60–4.42) for highest compared with lowest tertile. Lack of moderate-to-vigorous physical activity, but not walking, was associated with diabetes with an OR of 1.29 (1.17–1.41). The association of moderate-to-vigorous activity with fasting glucose varied with WHR tertiles (P = 0.01 for interaction). Within the high WHR tertile, participants who had a lack of moderate-to-vigorous activity had an OR of 3.87 (3.22–4.65) for diabetes, whereas those who were active had an OR of 2.94 (2.41–3.59).

CONCLUSIONS

In this population, WHR was a better measure of adiposity-related diabetes risk than BMI or waist circumference. Higher moderate-to-vigorous activity was associated with lower diabetes risk, especially in abdominally obese individuals.Type 2 diabetes is a worldwide cause of morbidity and mortality. Adiposity, especially abdominal adiposity, seems to be at the core of development of hyperglycemia and type 2 diabetes (1). Increased physical activity may mitigate some of the diabetogenic impact of adiposity (2–4). Individuals who are obese but fit could even have a lower risk of mortality than those who are normal weight but unfit (5,6). However, being physically active does not completely abolish the obesity-related risk for cardiovascular disease and associated mortality (7). Adiposity is still the main risk factor for the development of type 2 diabetes (2–4,8). Although increased physical activity has been shown to be associated with reduced type 2 diabetes risk independent of adiposity, the protective effects may differ by the level of adiposity. However, the group that could benefit most from physical activity for the prevention of diabetes is still unclear (2–4,8–10).Understanding the relationship between adiposity and physical activity is important to stratify risk groups for the development of effective diabetes prevention strategies from public health and clinical perspectives. Most of the studies relate to Caucasians (2–4,8–10), whereas Asians, including Chinese and Indians, are possibly more vulnerable to insulin resistance (11). The number of Chinese adults with type 2 diabetes was estimated to be ∼28.1 million in 2000 and may double by 2030, with China being second only to India (12). The purpose of this study was to investigate the independent and joint association of adiposity and physical activity with fasting plasma glucose, impaired fasting glucose (IFG), and type 2 diabetes in 28,946 middle-aged and older Chinese participants in the Guangzhou Biobank Cohort Study.     

Diabetes and risk of prostate cancer: a study using the National Health Insurance

OBJECTIVE

The link between diabetes and prostate cancer is rarely studied in Asians.

RESEARCH DESIGN AND METHODS

The trend of age-standardized prostate cancer incidence in 1995–2006 in the Taiwanese general population was calculated. A random sample of 1,000,000 subjects covered by the National Health Insurance in 2005 was recruited. A total of 494,630 men for all ages and 204,741 men ≥40 years old and without prostate cancer at the beginning of 2003 were followed to the end of 2005. Cumulative incidence and risk ratio between diabetic and nondiabetic men were calculated. Logistic regression estimated the adjusted odds ratios for risk factors.

RESULTS

The trend of prostate cancer incidence increased significantly (P < 0.0001). The cumulative incidence markedly increased with age in either the diabetic or nondiabetic men. The respective risk ratio (95% CI) for all ages and age 40–64, 65–74, and ≥75 years was 5.83 (5.10–6.66), 2.09 (1.60–2.74), 1.35 (1.07–1.71), and 1.39 (1.12–1.71). In logistic regression for all ages or for age ≥40 years, age, diabetes, nephropathy, ischemic heart disease, dyslipidemia, living region, and occupation were significantly associated with increased risk, but medications including insulin and oral antidiabetic agents were not.

CONCLUSIONS

Prostate cancer incidence is increasing in Taiwan. A positive link between diabetes and prostate cancer is observed, which is more remarkable in the youngest age of 40–64 years. The association between prostate cancer and comorbidities commonly seen in diabetic patients suggests a more complicated scenario in the link between prostate cancer and diabetes at different disease stages.The association between diabetes and prostate cancer has been inconsistently reported, even though two meta-analyses suggested that diabetic patients have a lower risk of prostate cancer of 9% (1) and 16% (2), respectively.While the two meta-analyses were examined, many studies were case-control and only three focused on the follow-up of cohorts of diabetic patients (3–5). Among the three cohorts, the cases of prostate cancer were 9 (3), 498 (4), and 2,455 (5), respectively; and only the last (5) showed a significant 9% risk reduction in diabetic patients. Except for the first study being conducted in residents with diabetes in Rochester, Minnesota (3), the diabetic patients in the other two were from hospitalized patients in Denmark (4) and Sweden (5), respectively. The meta-analyses have limitations including a mixture of case-control and cohort designs, a mixture of incident and dead cases, a small number of prostate cancer in most studies, and different sources of subjects with potential selection bias. Although the contamination of type 1 diabetes is possibly minimal because >90% of overall patients have type 2 diabetes, residual confounding could not be excluded if the two types of diabetes are not differentiated.Although some recent studies still suggested a lower risk of prostate cancer in diabetic patients including Caucasians (6,7), Iranians (8), Israelis (9), African Americans, Native Hawaiians, and Japanese Americans (6), the lower risk in African Americans and Native Hawaiians (6) was not significant. Two Japanese studies did not find any significant association (10,11). The Ohsaki Cohort Study suggested that diabetes was not predictive for total prostate cancer, but diabetic patients did show a higher risk of advanced cancer (11).Because diabetic patients are prone to develop cancer involving pancreas, liver, breast, colorectum, bladder, and endometrium (12–15) and the protective effect of diabetes on prostate cancer requires confirmation, this study evaluated the possible link between diabetes and prostate cancer, and the potential risk factors, by using the reimbursement database of the National Health Insurance (NHI) in Taiwan.     

Impact of Metabolic Syndrome Compared With Impaired Fasting Glucose on the Development of Type 2 Diabetes in a General Japanese Population: The Hisayama study

OBJECTIVE

We examined whether metabolic syndrome predicts incident type 2 diabetes more effectively than impaired fasting glucose (IFG) in a general Japanese population.

RESEARCH DESIGN AND METHODS

A total of 1,935 nondiabetic subjects aged 40–79 years were followed-up prospectively for a mean of 11.8 years.

RESULTS

During the follow-up, 286 subjects developed type 2 diabetes. Compared with those without metabolic syndrome, the multivariate-adjusted hazard ratio (HR) for incident type 2 diabetes was significantly higher in subjects of both sexes with metabolic syndrome, even after adjustment for confounding factors, age, family history of diabetes, total cholesterol, alcohol intake, smoking habits, and regular exercise (men: HR 2.58 [95% CI 1.85–3.59]; women: 3.69 [2.58–5.27]). The multivariate-adjusted HR of metabolic syndrome for type 2 diabetes was slightly lower in men and similar in women compared with that of IFG. The multivariate-adjusted HR for type 2 diabetes rose progressively as the number of metabolic syndrome components increased in both subjects with and without IFG. In stratified analysis, the multivariate-adjusted risk of type 2 diabetes was significantly higher in subjects with metabolic syndrome alone (2.37 [1.45–3.88]) or IFG alone (3.49 [2.57–4.74]) and markedly increased in subjects with both metabolic syndrome and IFG (6.76 [4.75–9.61]) than in subjects with neither metabolic syndrome nor IFG. Furthermore, the multivariate-adjusted risk for type 2 diabetes was also significantly higher in subjects with both metabolic syndrome and IFG than in those with either one alone (both P < 0.001).

CONCLUSIONS

Our findings suggest that metabolic syndrome significantly increases the risk of incident type 2 diabetes, independent of IFG, and is therefore a valuable tool to identify individuals at high risk of type 2 diabetes.Metabolic syndrome consists of a clustering of cardiovascular risk factors, such as central obesity, elevated blood pressure, glucose intolerance, and dyslipidemia, and individuals with this condition have an elevated risk of developing cardiovascular diseases (1–5) and type 2 diabetes in different ethnic populations (1–4,6–11). Thus, the concept of metabolic syndrome could be used to reduce the incidence of these diseases worldwide. However, a number of experts in the field of diabetes have questioned whether the idea of metabolic syndrome is useful and valuable (12–14). Because all of the criteria sets for metabolic syndrome have included the component of impaired fasting glucose (IFG), which is a powerful predictor of type 2 diabetes, detractors have questioned whether the more complex definition of metabolic syndrome is better than a simple measurement of fasting plasma glucose (FPG). However, reported findings concerning this issue are controversial: a cohort study has shown that the ability of metabolic syndrome to predict type 2 diabetes was superior to that of IFG alone (3), whereas in other studies, the value of metabolic syndrome was comparable or inferior to that of IFG alone (2,6,7). Furthermore, most of these epidemiological studies were performed in Western populations, and this subject has not been assessed sufficiently in Asian populations.The purpose of the present study was to investigate the association between metabolic syndrome and the development of type 2 diabetes in a prospective study of a defined Japanese population, taking into account comprehensive risk factors. In addition, we compared which of the two measures, metabolic syndrome or IFG, better predicted incident type 2 diabetes.     

Serum 25-hydroxyvitamin D, calcium intake, and risk of type 2 diabetes after 5 years: results from a national, population-based prospective study (the Australian Diabetes, Obesity and Lifestyle study)

OBJECTIVE

To examine whether serum 25-hydroxyvitamin D (25OHD) and dietary calcium predict incident type 2 diabetes and insulin sensitivity.

RESEARCH DESIGN AND METHODS

A total of 6,537 of the 11,247 adults evaluated in 1999–2000 in the Australian Diabetes, Obesity and Lifestyle (AusDiab) study, returned for oral glucose tolerance test (OGTT) in 2004–2005. We studied those without diabetes who had complete data at baseline (n = 5,200; mean age 51 years; 55% were women; 92% were Europids). Serum 25OHD and energy-adjusted calcium intake (food frequency questionnaire) were assessed at baseline. Logistic regression was used to evaluate associations between serum 25OHD and dietary calcium on 5-year incidence of diabetes (diagnosed by OGTT) and insulin sensitivity (homeostasis model assessment of insulin sensitivity [HOMA-S]), adjusted for multiple potential confounders, including fasting plasma glucose (FPG).

RESULTS

During the 5-year follow-up, 199 incident cases of diabetes were diagnosed. Those who developed diabetes had lower serum 25OHD (mean 58 vs. 65 nmol/L; P < 0.001) and calcium intake (mean 881 vs. 923 mg/day; P = 0.03) compared with those who remained free of diabetes. Each 25 nmol/L increment in serum 25OHD was associated with a 24% reduced risk of diabetes (odds ratio 0.76 [95% CI 0.63–0.92]) after adjusting for age, waist circumference, ethnicity, season, latitude, smoking, physical activity, family history of diabetes, dietary magnesium, hypertension, serum triglycerides, and FPG. Dietary calcium intake was not associated with reduced diabetes risk. Only serum 25OHD was positively and independently associated with HOMA-S at 5 years.

CONCLUSIONS

Higher serum 25OHD levels, but not higher dietary calcium, were associated with a significantly reduced risk of diabetes in Australian adult men and women.Accumulating evidence suggests that vitamin D deficiency is associated with an increased risk of developing type 2 diabetes (1–3). Animal and human studies indicate that vitamin D can have a direct (via activation of the vitamin D receptor on pancreatic β-cells and insulin-sensitive organs) and indirect (via regulation of calcium homeostasis) positive effect on insulin secretion and sensitivity (3,4). Several prospective studies also support the hypothesis that low vitamin D status is a risk factor for the development of type 2 diabetes (1–3,5,6); however, these studies were limited by small study sample sizes (3), indirect measures of vitamin D status as a surrogate marker (6,7), and incomplete identification of incident diabetes cases (1,2,5). In addition, most did not include an assessment of dietary calcium, which may have an independent or synergistic effect with vitamin D on lowering type 2 diabetes risk (7). The aim of this study was to examine the relationship between serum 25-hydroxyvitamin D (25OHD), dietary calcium, and risk of developing type 2 diabetes as assessed by an oral glucose tolerance test (OGTT) in a large national, population-based prospective study: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study.     

Associations between media consumption habits, physical activity, socioeconomic status, and glycemic control in children, adolescents, and young adults with type 1 diabetes

OBJECTIVE

To evaluate the relationship between media consumption habits, physical activity, socioeconomic status, and glycemic control in youths with type 1 diabetes.

RESEARCH DESIGN AND METHODS

In the cross-sectional study, self-report questionnaires were used to assess media consumption habits, physical activity, and socioeconomic status in 296 children, adolescents, and young adults with type 1 diabetes. Clinical data and HbA_1c levels were collected. Risk factors were analyzed by multiple regression.

RESULTS

Youths with type 1 diabetes (aged 13.7 ± 4.1 years, HbA_1c 8.7 ± 1.6%, diabetes duration 6.1 ± 3.3 years) spent 2.9 ± 1.8 h per day watching television and using computers. Weekly physical activity was 5.1 ± 4.5 h. Multiple regression analysis identified diabetes duration, socioeconomic status, and daily media consumption time as significant risk factors for glycemic control.

CONCLUSIONS

Diabetes duration, socioeconomic status, and daily media consumption time, but not physical activity, were significant risk factors for glycemic control in youths with type 1 diabetes.The pivotal Diabetes Control and Complications Trial (DCCT) and Epidemiology of Diabetes Interventions and Complications (EDIC) study demonstrate that poor glycemic control is associated with an increased risk of developing complications in type 1 diabetes (1). Various factors contributing to glycemic control have been identified (2). Immutable parameters such as age, sex, diabetes duration, and socioeconomic status have a major effect on metabolic control (2–6). Lower socioeconomic status is an important determinant for poor glycemic control (4,5). Modifiable factors influencing metabolic control are diabetes-related knowledge, frequency of blood glucose monitoring, and daily insulin dose (3,4,6,7). Lastly, psychosocial parameters are important in achieving good glycemic control (3–5,8–10). The influence of physical activity on metabolic control is unclear (9,11,12).Recent research addresses the influence of modern life habits on general health. Youths spend more and more time watching television and using computers. Many studies suggest that sedentary behaviors such as watching television lead to obesity in children (13,14). In one study in youths with type 1 diabetes, Margeirsdottir et al. (15) showed that poor metabolic control was associated with extensive television watching. However, the authors did not examine other covariables, such as socioeconomic status, which is associated with both glycemic control and media consumption (4,5,16,17). Hence, the aim of this study was to examine the impact of media consumption habits, physical activity, and socioeconomic status on glycemic control in youths with type 1 diabetes.     

Glycemic Control and Cardiovascular Disease in 7,454 Patients With Type 1 Diabetes: An observational study from the Swedish National Diabetes Register (NDR)

OBJECTIVE

We assessed the association between A1C and cardiovascular diseases (CVDs) in an observational study of patients with type 1 diabetes followed for 5 years.

RESEARCH DESIGN AND METHODS

A total of 7,454 patients were studied from the Swedish National Diabetes Register (aged 20–65 years, diabetes duration 1–35 years, followed from 2002 to 2007).

RESULTS

Hazard ratios (HRs) for fatal/nonfatal coronary heart disease (CHD) per 1% unit increase in baseline or updated mean A1C at Cox regression analysis were 1.31 and 1.34 and 1.26 and 1.32, respectively, for fatal/nonfatal CVD (all P < 0.001 after adjustment for age, sex, diabetes duration, blood pressure, total and LDL cholesterol, triglycerides, BMI, smoking, and history of CVD). HRs were only slightly lower for CHD (P = 0.002) and CVD (P = 0.002–0.007) after also adjusting for albuminuria. Adjusted 5-year event rates of CHD and CVD increased progressively with higher A1C, ranging from 5 to 12%, as well as when subgrouped by shorter (1–20 years) or longer (21–35 years) duration of diabetes. A group of 4,186 patients with A1C 5–7.9% (mean 7.2) at baseline showed risk reductions of 41% (95% confidence intervals: 15–60) (P = 0.005) for fatal/nonfatal CHD and 37% (12–55) (P = 0.008) for CVD, compared with 3,268 patients with A1C 8–11.9% (mean 9.0), fully adjusted also for albuminuria.

CONCLUSIONS

This observational study of patients in modern everyday clinical practice demonstrates progressively increasing risks for CHD and CVD with higher A1C, independently of traditional risk factors, with no J-shaped risk curves. A baseline mean A1C of 7.2% showed considerably reduced risks of CHD and CVD compared with A1C 9.0%, emphasizing A1C as a strong independent risk factor in type 1 diabetes.Patients with type 1 diabetes have long been considered to have increased risks of cardiovascular disease (CVD) and mortality (1,2), and this has recently been confirmed in two studies (3,4) from the General Practice Research Database in the U.K. Based on data from 1992 to 1999, risks of CVD and mortality were four to eight times higher in men and women with type 1 diabetes than nondiabetic individuals (3,4).While the association between glycemia and microvascular complications is established (5,6), there have been no long-term randomized clinical studies satisfactorily examining the relationship with macrovascular complications in type 1 diabetes, and epidemiological studies have shown conflicting results (7–14). The Epidemiology of Diabetes Interventions and Complications (EDIC) Study showed that patients who had previously been subjected to intensive glucose control during the Diabetes Control and Complications Trial (DCCT) had a considerably lower risk of CVD than patients receiving standard treatment (1983–1993) (7). A small study from Finland on late-onset type 1 diabetic patients without albuminuria showed increased risk of coronary heart disease (CHD) with poor glycemic control (9), but the EURODIAB Prospective Complications Study (PCS), the Pittsburgh Epidemiology of Diabetes Complications (EDC) Study, and the Wisconsin Epidemiologic Study of Diabetic Retinopathy did not demonstrate a significant relationship between glycemia and CHD after controlling for other cardiovascular risk factors (10–13). However, a recent study (14) from the Pittsburgh EDC showed that change in A1C was related to coronary artery disease, whereas baseline A1C was not.With this background, we assessed the association between A1C and CHD, stroke, and CVD in a large cohort of patients with type 1 diabetes, aged 20–65 years, treated in everyday clinical practice from 2002 to 2007. Data were used from the Swedish National Diabetes register (NDR), a quality-assurance tool in diabetes care with nationwide coverage with recently published reports regarding type 1 and type 2 diabetes (15–17).     

Racial/ethnic- and education-related disparities in the control of risk factors for cardiovascular disease among individuals with diabetes

OBJECTIVE

There is limited information on whether recent improvements in the control of cardiovascular disease (CVD) risk factors among individuals with diabetes have been concentrated in particular sociodemographic groups. This article estimates racial/ethnic- and education-related disparities and examines trends in uncontrolled CVD risk factors among adults with diabetes. The main racial/ethnic comparisons made are with African Americans versus non-Latino whites and Mexican Americans versus non-Latino whites.

RESEARCH DESIGN AND METHODS

The analysis samples include adults aged ≥20 years from the National Health and Nutrition Examination Survey (NHANES) 1988–1994 and the NHANES 1999–2008 who self-reported having diabetes (n = 1,065, NHANES 1988–1994; n = 1,872, NHANES 1999–2008). By use of logistic regression models, we examined the correlates of binary indicators measuring 1) high blood glucose, 2) high blood pressure, 3) high cholesterol, and 4) smoking.

RESULTS

Control of blood glucose, blood pressure, and cholesterol improved among individuals with diabetes between the NHANES 1988–1994 and the NHANES 1999–2008, but there was no change in smoking prevalence. In the NHANES 1999–2008, racial/ethnic minorities and individuals without some college education were more likely to have poorly controlled blood glucose compared with non-Latino whites and those with some college education. In addition, individuals with diabetes who had at least some college education were less likely to smoke and had better blood pressure control compared with individuals with diabetes without at least some college education.

CONCLUSIONS

Trends in CVD risk factors among individuals with diabetes improved over the past 2 decades, but racial/ethnic- and education-related disparities have emerged in some areas.Diabetes is a leading cause of morbidity and mortality in the U.S., and the prevalence of this disease is rising (1). The Centers for Disease Control and Prevention, based on data from the National Health Interview Survey, estimated that the age-adjusted prevalence of diagnosed diabetes increased from 3.7% in 1980 to 7.7% in 2008 (2). The total direct and indirect costs associated with diabetes in the U.S. were estimated to be $174 billion in 2007, with ~33% ($58 billion) of the total cost being attributed to treatment of medical complications (3). Cardiovascular disease (CVD) is a widely documented potential complication of diabetes and a leading cause of mortality among individuals with diabetes (4–6). Although rates of CVD events have declined in recent decades among both individuals with and without diabetes, people with diabetes still are twice as likely as those without diabetes to experience a CVD event (4), and individuals with diabetes have heart disease mortality rates that are two to four times greater than those without diabetes (6).To prevent CVD and other complications of diabetes, the American Diabetes Association (ADA) in 2009 published updated standards for diabetes screening, diagnosis, and therapeutic care (7). These guidelines, which reflect new evidence from epidemiological studies and randomized controlled trials, included targets for glycemic control, blood pressure control, lipid control, and smoking (7). The ADA recommends that most adults with diabetes maintain an HbA_1c (a measure of blood glucose) level below or around 7.0%, blood pressure under 130/80 mmHg, and LDL cholesterol under 100 mg/dL (2.6 mmol/L) (7). All patients with diabetes are advised not to smoke. In addition, the National Cholesterol Education Program Adult Treatment Panel III recommends that individuals with diabetes keep their LDL under 100 mg/dL and total cholesterol under 200 mg/dL (8).Given that successful management of diabetes requires a coordinated team of health care providers (7) and access to health insurance (9), continuity of care (10), and patient knowledge and self-management skills (11), there may be differences in control of CVD risk factors across sociodemographic groups within the population of people with diabetes. On the basis of data from the National Health and Nutrition Examination Survey (NHANES) 1999–2000, previous researchers reported that only 7.3% of those with diagnosed diabetes achieve all three of the ADA (2009) targets for control of blood glucose, blood pressure, and total cholesterol (12). Between the NHANES 1988–1994 and the NHANES 1999–2000, trends in the control of blood cholesterol among individuals with diagnosed diabetes improved, but there was no change in the control of blood glucose and blood pressure levels (12). Poor glycemic control generally is more prevalent among African Americans and Mexican Americans with diabetes compared with non-Latino whites with diabetes (13–15), but these differences have been small in some studies (13) and limited to certain sex/race-ethnicity subgroups in other studies (14). Recent research based on individuals with diabetes interviewed in the NHANES 1999–2008 shows an overall trend of improvement in CVD risk factors and, notably, reductions in the predicted 10-year risk of coronary heart disease (16), but some findings show that socioeconomic status and racial/ethnic disparities persist (14–18).Using data from the NHANES 1988–1994 and the NHANES 1999–2008, we built on these important new results by 1) examining trends in the prevalence of diagnosed diabetes and the sociodemographic characteristics of the diagnosed diabetic population and 2) testing for racial/ethnic- and education-related disparities in poorly controlled risk factors for CVD among individuals with diagnosed diabetes. Given the mounting body of evidence showing the importance of controlling CVD risk factors (7) and the increasing focus on prevention in the 2010 health care reform law (19), it is critical to document current trends in the control of CVD risk factors among individuals with diabetes and to examine whether any improvements have been concentrated in particular sociodemographic groups.     

Associations Between Dietary Fiber and Inflammation, Hepatic Function, and Risk of Type 2 Diabetes in Older Men: Potential mechanisms for the benefits of fiber on diabetes risk

OBJECTIVE

To examine the relationship between dietary fiber and the risk of type 2 diabetes in older men and the role of hepatic and inflammatory markers.

RESEARCH DESIGN AND METHODS

The study was performed prospectively and included 3,428 nondiabetic men (age 60–79 years) followed up for 7 years, during which there were 162 incident cases of type 2 diabetes.

RESULTS

Low total dietary fiber (lowest quartile ≤20 g/day) was associated with increased risk of diabetes after adjustment for total calorie intake and potential confounders (relative risk −1.47 [95% CI 1.03–2.11]). This increased risk was seen separately for both low cereal and low vegetable fiber intake. Dietary fiber was inversely associated with inflammatory markers (C-reactive protein, interleukin-6) and with tissue plasminogen activator and γ-glutamyl transferase. Adjustment for these markers attenuated the increased risk (1.28 [0.88–1.86]).

CONCLUSIONS

Dietary fiber is associated with reduced diabetes risk, which may be partly explained by inflammatory markers and hepatic fat deposition.Several prospective cohort studies have observed a protective effect of dietary fiber on the risk of type 2 diabetes (1–4). However, this has not been observed in all studies (4), and the biological mechanisms by which dietary fiber may be beneficial for diabetes are unclear. Several studies have shown inverse associations between dietary fiber and markers of inflammation, insulin sensitivity, and hepatic function (5–8), factors that have been linked to the development of diabetes in other studies (9). It has been suggested that dietary fiber may reduce diabetes risk through its effect on hepatic function and insulin sensitivity or by mediating the proinflammatory process (5,6). However, these possibilities have not been examined in detail. We assessed the prospective relationship between dietary fiber and the risk of type 2 diabetes in older men and evaluated whether this relationship is associated with serum inflammatory marker (interleukin-6 [IL-6] and C-reactive protein [CRP]) levels and hepatic function (γ-glutamyl transferase [GGT]).     

Screening for Diabetes and Pre-Diabetes With Proposed A1C-Based Diagnostic Criteria

OBJECTIVE

An International Expert Committee (IEC) and the American Diabetes Association (ADA) proposed diagnostic criteria for diabetes and pre-diabetes based on A1C levels. We hypothesized that screening for diabetes and pre-diabetes with A1C measurements would differ from using oral glucose tolerance tests (OGTT).

RESEARCH DESIGN AND METHODS

We compared pre-diabetes, dysglycemia (diabetes or pre-diabetes), and diabetes identified by the proposed criteria (A1C ≥6.5% for diabetes and 6.0–6.4% [IEC] or 5.7–6.4% [ADA] for high risk/pre-diabetes) with standard OGTT diagnoses in three datasets. Non-Hispanic white or black adults without known diabetes who had A1C and 75-g OGTT measurements were included from the prospective Screening for Impaired Glucose Tolerance study (n = 1,581), and from the National Health and Nutrition Examination Survey (NHANES) III (n = 2014), and NHANES 2005–2006 (n = 1,111).

RESULTS

OGTTs revealed pre-diabetes in 35.8% and diabetes in 5.2% of combined study subjects. A1C provided receiver operating characteristic (ROC) curve areas for diabetes of 0.79–0.83, but ROC curve areas were ≤0.70 for dysglycemia or pre-diabetes. The proposed criteria missed 70% of individuals with diabetes, 71–84% with dysglycemia, and 82–94% with pre-diabetes. Compared with the IEC criteria, the ADA criteria for pre-diabetes resulted in fewer false-negative and more false-positive result. There were also racial differences, with false-positive results being more common in black subjects and false-negative results being more common in white subjects. With use of NHANES 2005–2006 data, ∼5.9 million non-Hispanic U.S. adults with unrecognized diabetes and 43–52 million with pre-diabetes would be missed by screening with A1C.

CONCLUSIONS

The proposed A1C diagnostic criteria are insensitive and racially discrepant for screening, missing most Americans with undiagnosed diabetes and pre-diabetes.Diabetes affects >21 million American adults (1,2), with a lifetime risk ranging from 20 to 50+%, depending on sex and race (3). Identification of diabetes and its precursor, pre-diabetes, can permit management to prevent complications or delay progression from pre-diabetes to diabetes. Because most U.S. health care systems do not have systematic screening programs, many Americans have undiagnosed diabetes and pre-diabetes, and, therefore, these individuals are not initiating programs targeted at prevention (2).An International Expert Committee (IEC) recently proposed new diagnostic criteria based on measurement of A1C, with A1C ≥6.5% for diabetes and 6.0–6.4% for “high risk” of progression to diabetes (4). The American Diabetes Association (ADA) subsequently proposed A1C ≥6.5% for the diagnosis of diabetes and 5.7–6.4% for the highest risk to progress to diabetes (5).Because A1C testing is readily available in the U.S., is relatively well standardized, exhibits low intraindividual variation, and does not require fasting or restriction to certain times of the day (6), many clinicians might wish to use A1C measurements to screen for diabetes and pre-diabetes. However, the proposed diagnostic criteria were based largely on identification of diabetic retinopathy, and use of the proposed criteria as a screening test is not understood. The IEC A1C criteria have recently been compared with testing with fasting glucose or oral glucose tolerance tests (OGTTs) in various populations to diagnose diabetes (7–13) and high-risk/pre-diabetes (10,11,13), but the ADA A1C criteria have not been studied.We hypothesized that A1C diagnostic criteria would fail to identify many subjects with unrecognized diabetes or pre-diabetes. We evaluated the proposed criteria as screening tests in three populations, compared with the OGTT as a “gold standard” used for identification of diabetes and pre-diabetes around the world (14).     

Diabetes incidence and long-term exposure to air pollution: a cohort study

OBJECTIVE

Animal and cross-sectional epidemiological studies suggest a link between air pollution and diabetes, whereas the limited prospective data show mixed results. We studied the association between long-term exposure to traffic-related air pollution and incidence of diabetes.

RESEARCH DESIGN AND METHODS

We followed 57,053 participants of the Danish Diet, Cancer, and Health cohort in the Danish National Diabetes Register between baseline (1993–1997) and 27 June 2006. We estimated the mean levels of nitrogen dioxide (NO₂) at the residential addresses of the cohort participants since 1971 and modeled the association between NO₂ and diabetes incidence with a Cox regression model, separately for two definitions of diabetes: all cases and a more strict definition where unconfirmed cases were excluded.

RESULTS

Over a mean follow-up of 9.7 years of 51,818 eligible subjects, there were 4,040 (7.8%) incident diabetes cases in total and 2,877 (5.5%) with confirmed diagnoses. Air pollution was not associated with all diabetes cases (hazard ratio 1.00 [95% CI 0.97–1.04] per interquartile range of 4.9 μg/m³ mean NO₂ levels since 1971), but a borderline statistically significant association was detected with confirmed cases of diabetes (1.04 [1.00–1.08]). Among confirmed diabetes cases, effects were significantly enhanced in nonsmokers (1.12 [1.05–1.20]) and physically active people (1.10 [1.03–1.16]).

CONCLUSIONS

Long-term exposure to traffic-related air pollution may contribute to the development of diabetes, especially in individuals with a healthy lifestyle, nonsmokers, and physically active individuals.The prevalence and incidence of type 2 diabetes are rising rapidly in both the developed and developing world, presenting one of the greatest contributors to the global burden of the disease (1). The diabetes epidemic is in large part attributable to established causes related to modern lifestyle including obesity, physical inactivity, and the growing aging populations (1). Environmental exposures linked to industrialization and urbanization, such as air pollution, have not been considered risk factors for diabetes until recently (2). In the U.S., the prevalence of diabetes correlated with the release of toxicants into the air (3), whereas diabetic people appeared more vulnerable than nondiabetic people to cardiovascular health effects associated with exposure to air pollution (4). Diabetes and cardiovascular diseases share many risk factors, and diabetic people are at a highly increased risk for heart or circulatory disorders (5). The central biological mechanisms of air pollution damage to the heart and blood vessels include inflammation (6), which is also believed to be involved in the promotion of insulin resistance and type 2 diabetes (7). An enhanced association between air pollution and inflammation, endothelial dysfunction, prothrombotic changes, and altered heart rate variability was found in diabetic people (6). A plausible biological mechanism of air pollution promoting diabetes was provided by Sun et al. (8), showing that exposure to particulate air pollution caused increased blood glucose, inflammation in adipose tissue, and insulin resistance in high-fat diet–fed mice. Recent study confirmed that prolonged exposure to air pollution leads to insulin resistance and impaired glucose tolerance in rats and that this association is not limited to high-fat diet rats (9). Epidemiological evidence is sparse. Short-term exposure to air pollution was linked to exacerbations of diabetes leading to death (10–14) and hospitalizations (13). Prevalence of diabetes was linked to air pollution (14,15). Two prospective diabetes studies investigated the link with air pollution, with one reporting significant associations among a small number (n = 87) of women (16) and another failing to detect association in two large cohorts, except with a single traffic proximity proxy in women (17). Limited and mixed evidence precludes conclusions about causality between air pollution and diabetes and merits more study.We studied the association between traffic-related air pollution levels at the residence and the risk for diabetes in an elderly Danish cohort and tested for an effect modification by lifestyle, education, and comorbid conditions.     

Meat consumption and its association with C-reactive protein and incident type 2 diabetes: the Rotterdam Study

OBJECTIVE

To investigate whether intake of different types of meat is associated with circulating C-reactive protein (CRP) and risk of type 2 diabetes in a prospective cohort study.

RESEARCH DESIGN AND METHODS

Our analysis included 4,366 Dutch participants who did not have diabetes at baseline. During a median follow-up period of 12.4 years, 456 diabetes cases were confirmed. Intake of red meat, processed meat, and poultry was derived from a food frequency questionnaire, and their association with serum high-sensitivity CRP was examined cross-sectionally using linear regression models. Their association with risk of type 2 diabetes was examined using multivariate Cox proportional hazards model, including age, sex, family history of diabetes, and lifestyle and dietary factors.

RESULTS

An increment of 50 g of processed meat was associated with increased CRP concentration (β_{processed meat} = 0.12; P = 0.01), whereas intake of red meat and poultry was not. When comparing the highest to the lowest category of meat intake with respect to diabetes incidence, the adjusted relative risks were as follows: for red meat (1.42 [95% CI 1.06–1.91]), for processed meat (1.87 [1.26–2.78]), and for poultry (0.95 [0.74–1.22]). Additional analysis showed that the associations were not affected appreciably after inclusion of CRP into the model. After adjustment for BMI, however, the association for red meat attenuated to 1.18 (0.88–1.59).

CONCLUSIONS

Intake of processed meat is associated with higher risk of type 2 diabetes. It appears unlikely that CRP mediates this association.Since the prevalence of type 2 diabetes has increased rapidly over the last decades, investigations into the effect of dietary and other lifestyle factors on type 2 diabetes have become important (1). One of the dietary factors of interest is meat. Three meta-analyses of prospective cohort studies showed that intake of processed meat is associated with a higher risk of type 2 diabetes (2–4). For red meat, two of these meta-analyses observed an adverse association (2,4), whereas one did not (3). For poultry, no data from meta-analyses were available. Results from six prospective studies on poultry, however, showed that it is not likely that poultry is associated with a higher risk of type 2 diabetes; three studies observed an inverse association (5–7), whereas three did not observe an association (8–10).Intake of red meat and processed meat may increase risk of type 2 diabetes by mechanisms that increase circulating proinflammatory markers. Positive associations have been observed between red meat or processed meat and the proinflammatory blood marker C-reactive protein (CRP), which in turn has been associated with higher risk of type 2 diabetes (11,12,13). The positive association between intake of meat and CRP might be explained by several biological pathways. The binding capacity of iron in the body could be exceeded by the intake of meat, which contains high amounts of heme iron. Free iron can increase oxidative stress, thereby acting as proinflammatory agent (14). Advanced glycation end products (AGEs), which occur naturally in meat and are formed through heat processing (15), may also have proinflammatory actions (16). Thus, the observed positive associations between intake of red meat and processed meat and CRP, and CRP and risk of type 2 diabetes may indicate that CRP mediates the association between intake of meat, especially red and processed meat, and risk of type 2 diabetes. Therefore, we investigated whether intake of red meat, processed meat, and poultry was associated with CRP and risk of type 2 diabetes in a Dutch population.     

Lifestyle counseling in routine care and long-term glucose, blood pressure, and cholesterol control in patients with diabetes

OBJECTIVE

In clinical trials, diet, exercise, and weight counseling led to short-term improvements in blood glucose, blood pressure, and cholesterol levels in patients with diabetes. However, little is known about the long-term effects of lifestyle counseling on patients with diabetes in routine clinical settings.

RESEARCH DESIGN AND METHODS

This retrospective cohort study of 30,897 patients with diabetes aimed to determine whether lifestyle counseling is associated with time to A1C, blood pressure, and LDL cholesterol control in patients with diabetes. Patients were included if they had at least 2 years of follow-up with primary care practices affiliated with two teaching hospitals in eastern Massachusetts between 1 January 2000 and 1 January 2010.

RESULTS

Comparing patients with face-to-face counseling rates of once or more per month versus less than once per 6 months, median time to A1C <7.0% was 3.5 versus 22.7 months, time to blood pressure <130/85 mmHg was 3.7 weeks versus 5.6 months, and time to LDL cholesterol <100 mg/dL was 3.5 versus 24.7 months, respectively (P < 0.0001 for all). In multivariable analysis, one additional monthly face-to-face lifestyle counseling episode was associated with hazard ratios of 1.7 for A1C control (P < 0.0001), 1.3 for blood pressure control (P < 0.0001), and 1.4 for LDL cholesterol control (P = 0.0013).

CONCLUSIONS

Lifestyle counseling in the primary care setting is strongly associated with faster achievement of A1C, blood pressure, and LDL cholesterol control. These results confirm that the findings of controlled clinical trials are applicable to the routine care setting and provide evidence to support current treatment guidelines.Diabetes is increasingly common in the U.S. and worldwide (1,2). Elevated blood glucose, blood pressure, and LDL cholesterol are associated with increased risk for micro- and macrovascular complications, and their reduction decreases the risk (3–8). Nevertheless, most patients with diabetes do not have A1C, blood pressure, and LDL cholesterol under control (9,10).American and European guidelines widely recommend diet, exercise, and weight counseling with follow-up for patients with diabetes (11,12). Many short-term randomized clinical trials have shown that intensive lifestyle counseling interventions of up to 1 year in duration can lead to lower blood glucose (13–16) and blood pressure (17–21), but long-term data on the efficacy of lifestyle counseling are lacking (22–24). Furthermore, clinical trials typically involve resource-intensive interventions that may not be feasible in routine care, and the efficacy of lifestyle counseling in everyday clinical practice remains questionable (25–27). Consequently, further evidence is needed to establish that lifestyle counseling as practiced in routine care improves the outcomes of patients with diabetes.We therefore conducted a retrospective study of over 30,000 patients with diabetes and hyperglycemia, hypertension, and/or hyperlipidemia who received care in a primary care setting to test the hypothesis that higher rates of lifestyle counseling in routine care are associated with better diabetes control.     

GHb Level and Subsequent Mortality Among Adults in the U.S.

OBJECTIVE

To examine the association of hyperglycemia, as measured by GHb, with subsequent mortality in a nationally representative sample of adults.

RESEARCH DESIGN AND METHODS

We included adults aged ≥20 years who participated in Third National Health and Nutrition Examination Survey (1988–1994) and had complete information, including baseline diabetes status by self-report and measured GHb (n = 19,025) and follow-up through the end of 2000 for mortality.

RESULTS

In the overall population, higher levels of GHb were associated with increased risk of mortality from all causes, heart disease, and cancer. After adjustment for potential risk factors, the relative hazard (RH) for adults with GHb ≥8% compared with adults with GHb <6% was 2.59 (95% CI 1.88–3.56) for all-cause mortality, 3.38 (1.98–5.77) for heart disease mortality, and 2.64 (1.17–5.97) for cancer mortality. Among adults with diagnosed diabetes, having GHb ≥8% compared with GHb <6% was associated with higher all-cause mortality (RH 1.68, 95% CI 1.03–2.74) and heart disease mortality (2.48, 1.09–5.64), but there was no increased risk of cancer mortality by GHb category. Among adults without diagnosed diabetes, there was no significant association of all-cause, heart disease, or cancer mortality and GHb category.

CONCLUSIONS

These results highlight the importance of GHb levels in mortality risk among a nationally representative sample of adults with and without diagnosed diabetes and indicate that higher levels are associated with increased mortality in adults with diabetes.Hperglycemia has been associated with a wide range of adverse outcomes for individuals with glucose values both above and below the threshold for diabetes, including increased cardiovascular disease (CVD) and mortality (1). Studies have consistently found undiagnosed diabetes to be associated with increased risk of mortality (2–4), and many studies have also shown levels of glucose that are elevated, but not enough for a diagnosis of diabetes, such as impaired fasting glucose, to be associated with increased mortality (2–4).However, most of these studies are based on fasting or postprandial glucose (1–4), and few are based on GHb levels (3,5–8). The GHb level may be a better indicator of hyperglycemia because it provides a measure of an individual''s average glucose levels for the previous 3 months. Thus, it may provide a more stable snapshot of glucose levels when used in prospective cohort studies to examine the association of subsequent risk. Currently, GHb is monitored in the treatment of diabetes, and GHb targets for prevention of complications among individuals with diabetes have been established (9). Interest in the use of GHb for the diagnosis of diabetes is increasing (10), and an international effort is underway to standardize the measurement of GHb (11). This focus of GHb in clinical care measures (12) raises important questions about the long-term predictability of GHb.Examination of the relationship of GHb with mortality reveals several areas of uncertainty, including whether the relationship of GHb with mortality is similar among individuals with and without diabetes from both prospective cohort studies and clinical trials. A few prospective cohort studies have examined the association of GHb with risk of mortality (5–8) and shown an increased risk of mortality with increasing GHb level. Only two studies included individuals with diabetes, but these studies did not examine GHb levels by diabetes status, and none were representative of the general U.S. population.Recently published findings from three clinical trials among adults with diabetes have added to this uncertainty. The Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial showed that lower GHb levels increased risk of mortality and did not decrease CVD events (13). Whereas the Action in Diabetes and Vascular Disease—Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) study showed that lowering of GHb levels was associated with a decrease in micro- and macrovascular events and deaths from CVD (14) and the Veterans Administration Diabetes Trial reported that lower GHb levels were not associated with a reduction in cardiovascular events (15). These findings have not led to any changes in glycemic control recommendations (16).The Third National Health and Nutrition Examination Survey (NHANES III) is the first nationally representative survey to include a measure of GHb and has mortality status available through linkage to the National Death Index. The objective of this study was to examine the association of GHb with subsequent mortality in a nationally representative sample of U.S. adults.